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1.  Human genome meeting 2016 
Srivastava, A. K. | Wang, Y. | Huang, R. | Skinner, C. | Thompson, T. | Pollard, L. | Wood, T. | Luo, F. | Stevenson, R. | Polimanti, R. | Gelernter, J. | Lin, X. | Lim, I. Y. | Wu, Y. | Teh, A. L. | Chen, L. | Aris, I. M. | Soh, S. E. | Tint, M. T. | MacIsaac, J. L. | Yap, F. | Kwek, K. | Saw, S. M. | Kobor, M. S. | Meaney, M. J. | Godfrey, K. M. | Chong, Y. S. | Holbrook, J. D. | Lee, Y. S. | Gluckman, P. D. | Karnani, N. | Kapoor, A. | Lee, D. | Chakravarti, A. | Maercker, C. | Graf, F. | Boutros, M. | Stamoulis, G. | Santoni, F. | Makrythanasis, P. | Letourneau, A. | Guipponi, M. | Panousis, N. | Garieri, M. | Ribaux, P. | Falconnet, E. | Borel, C. | Antonarakis, S. E. | Kumar, S. | Curran, J. | Blangero, J. | Chatterjee, S. | Kapoor, A. | Akiyama, J. | Auer, D. | Berrios, C. | Pennacchio, L. | Chakravarti, A. | Donti, T. R. | Cappuccio, G. | Miller, M. | Atwal, P. | Kennedy, A. | Cardon, A. | Bacino, C. | Emrick, L. | Hertecant, J. | Baumer, F. | Porter, B. | Bainbridge, M. | Bonnen, P. | Graham, B. | Sutton, R. | Sun, Q. | Elsea, S. | Hu, Z. | Wang, P. | Zhu, Y. | Zhao, J. | Xiong, M. | Bennett, David A. | Hidalgo-Miranda, A. | Romero-Cordoba, S. | Rodriguez-Cuevas, S. | Rebollar-Vega, R. | Tagliabue, E. | Iorio, M. | D’Ippolito, E. | Baroni, S. | Kaczkowski, B. | Tanaka, Y. | Kawaji, H. | Sandelin, A. | Andersson, R. | Itoh, M. | Lassmann, T. | Hayashizaki, Y. | Carninci, P. | Forrest, A. R. R. | Semple, C. A. | Rosenthal, E. A. | Shirts, B. | Amendola, L. | Gallego, C. | Horike-Pyne, M. | Burt, A. | Robertson, P. | Beyers, P. | Nefcy, C. | Veenstra, D. | Hisama, F. | Bennett, R. | Dorschner, M. | Nickerson, D. | Smith, J. | Patterson, K. | Crosslin, D. | Nassir, R. | Zubair, N. | Harrison, T. | Peters, U. | Jarvik, G. | Menghi, F. | Inaki, K. | Woo, X. | Kumar, P. | Grzeda, K. | Malhotra, A. | Kim, H. | Ucar, D. | Shreckengast, P. | Karuturi, K. | Keck, J. | Chuang, J. | Liu, E. T. | Ji, B. | Tyler, A. | Ananda, G. | Carter, G. | Nikbakht, H. | Montagne, M. | Zeinieh, M. | Harutyunyan, A. | Mcconechy, M. | Jabado, N. | Lavigne, P. | Majewski, J. | Goldstein, J. B. | Overman, M. | Varadhachary, G. | Shroff, R. | Wolff, R. | Javle, M. | Futreal, A. | Fogelman, D. | Bravo, L. | Fajardo, W. | Gomez, H. | Castaneda, C. | Rolfo, C. | Pinto, J. A. | Akdemir, K. C. | Chin, L. | Futreal, A. | Patterson, S. | Statz, C. | Mockus, S. | Nikolaev, S. N. | Bonilla, X. I. | Parmentier, L. | King, B. | Bezrukov, F. | Kaya, G. | Zoete, V. | Seplyarskiy, V. | Sharpe, H. | McKee, T. | Letourneau, A. | Ribaux, P. | Popadin, K. | Basset-Seguin, N. | Chaabene, R. Ben | Santoni, F. | Andrianova, M. | Guipponi, M. | Garieri, M. | Verdan, C. | Grosdemange, K. | Sumara, O. | Eilers, M. | Aifantis, I. | Michielin, O. | de Sauvage, F. | Antonarakis, S. | Likhitrattanapisal, S. | Lincoln, S. | Kurian, A. | Desmond, A. | Yang, S. | Kobayashi, Y. | Ford, J. | Ellisen, L. | Peters, T. L. | Alvarez, K. R. | Hollingsworth, E. F. | Lopez-Terrada, D. H. | Hastie, A. | Dzakula, Z. | Pang, A. W. | Lam, E. T. | Anantharaman, T. | Saghbini, M. | Cao, H. | Gonzaga-Jauregui, C. | Ma, L. | King, A. | Rosenzweig, E. Berman | Krishnan, U. | Reid, J. G. | Overton, J. D. | Dewey, F. | Chung, W. K. | Small, K. | DeLuca, A. | Cremers, F. | Lewis, R. A. | Puech, V. | Bakall, B. | Silva-Garcia, R. | Rohrschneider, K. | Leys, M. | Shaya, F. S. | Stone, E. | Sobreira, N. L. | Schiettecatte, F. | Ling, H. | Pugh, E. | Witmer, D. | Hetrick, K. | Zhang, P. | Doheny, K. | Valle, D. | Hamosh, A. | Jhangiani, S. N. | Akdemir, Z. Coban | Bainbridge, M. N. | Charng, W. | Wiszniewski, W. | Gambin, T. | Karaca, E. | Bayram, Y. | Eldomery, M. K. | Posey, J. | Doddapaneni, H. | Hu, J. | Sutton, V. R. | Muzny, D. M. | Boerwinkle, E. A. | Valle, D. | Lupski, J. R. | Gibbs, R. A. | Shekar, S. | Salerno, W. | English, A. | Mangubat, A. | Bruestle, J. | Thorogood, A. | Knoppers, B. M. | Takahashi, H. | Nitta, K. R. | Kozhuharova, A. | Suzuki, A. M. | Sharma, H. | Cotella, D. | Santoro, C. | Zucchelli, S. | Gustincich, S. | Carninci, P. | Mulvihill, J. J. | Baynam, G. | Gahl, W. | Groft, S. C. | Kosaki, K. | Lasko, P. | Melegh, B. | Taruscio, D. | Ghosh, R. | Plon, S. | Scherer, S. | Qin, X. | Sanghvi, R. | Walker, K. | Chiang, T. | Muzny, D. | Wang, L. | Black, J. | Boerwinkle, E. | Weinshilboum, R. | Gibbs, R. | Karpinets, T. | Calderone, T. | Wani, K. | Yu, X. | Creasy, C. | Haymaker, C. | Forget, M. | Nanda, V. | Roszik, J. | Wargo, J. | Haydu, L. | Song, X. | Lazar, A. | Gershenwald, J. | Davies, M. | Bernatchez, C. | Zhang, J. | Futreal, A. | Woodman, S. | Chesler, E. J. | Reynolds, T. | Bubier, J. A. | Phillips, C. | Langston, M. A. | Baker, E. J. | Xiong, M. | Ma, L. | Lin, N. | Amos, C. | Lin, N. | Wang, P. | Zhu, Y. | Zhao, J. | Calhoun, V. | Xiong, M. | Dobretsberger, O. | Egger, M. | Leimgruber, F. | Sadedin, S. | Oshlack, A. | Antonio, V. A. A. | Ono, N. | Ahmed, Z. | Bolisetty, M. | Zeeshan, S. | Anguiano, E. | Ucar, D. | Sarkar, A. | Nandineni, M. R. | Zeng, C. | Shao, J. | Cao, H. | Hastie, A. | Pang, A. W. | Lam, E. T. | Liang, T. | Pham, K. | Saghbini, M. | Dzakula, Z. | Chee-Wei, Y. | Dongsheng, L. | Lai-Ping, W. | Lian, D. | Hee, R. O. Twee | Yunus, Y. | Aghakhanian, F. | Mokhtar, S. S. | Lok-Yung, C. V. | Bhak, J. | Phipps, M. | Shuhua, X. | Yik-Ying, T. | Kumar, V. | Boon-Peng, H. | Campbell, I. | Young, M. -A. | James, P. | Rain, M. | Mohammad, G. | Kukreti, R. | Pasha, Q. | Akilzhanova, A. R. | Guelly, C. | Abilova, Z. | Rakhimova, S. | Akhmetova, A. | Kairov, U. | Trajanoski, S. | Zhumadilov, Z. | Bekbossynova, M. | Schumacher, C. | Sandhu, S. | Harkins, T. | Makarov, V. | Doddapaneni, H. | Glenn, R. | Momin, Z. | Dilrukshi, B. | Chao, H. | Meng, Q. | Gudenkauf, B. | Kshitij, R. | Jayaseelan, J. | Nessner, C. | Lee, S. | Blankenberg, K. | Lewis, L. | Hu, J. | Han, Y. | Dinh, H. | Jireh, S. | Walker, K. | Boerwinkle, E. | Muzny, D. | Gibbs, R. | Hu, J. | Walker, K. | Buhay, C. | Liu, X. | Wang, Q. | Sanghvi, R. | Doddapaneni, H. | Ding, Y. | Veeraraghavan, N. | Yang, Y. | Boerwinkle, E. | Beaudet, A. L. | Eng, C. M. | Muzny, D. M. | Gibbs, R. A. | Worley, K. C. C. | Liu, Y. | Hughes, D. S. T. | Murali, S. C. | Harris, R. A. | English, A. C. | Qin, X. | Hampton, O. A. | Larsen, P. | Beck, C. | Han, Y. | Wang, M. | Doddapaneni, H. | Kovar, C. L. | Salerno, W. J. | Yoder, A. | Richards, S. | Rogers, J. | Lupski, J. R. | Muzny, D. M. | Gibbs, R. A. | Meng, Q. | Bainbridge, M. | Wang, M. | Doddapaneni, H. | Han, Y. | Muzny, D. | Gibbs, R. | Harris, R. A. | Raveenedran, M. | Xue, C. | Dahdouli, M. | Cox, L. | Fan, G. | Ferguson, B. | Hovarth, J. | Johnson, Z. | Kanthaswamy, S. | Kubisch, M. | Platt, M. | Smith, D. | Vallender, E. | Wiseman, R. | Liu, X. | Below, J. | Muzny, D. | Gibbs, R. | Yu, F. | Rogers, J. | Lin, J. | Zhang, Y. | Ouyang, Z. | Moore, A. | Wang, Z. | Hofmann, J. | Purdue, M. | Stolzenberg-Solomon, R. | Weinstein, S. | Albanes, D. | Liu, C. S. | Cheng, W. L. | Lin, T. T. | Lan, Q. | Rothman, N. | Berndt, S. | Chen, E. S. | Bahrami, H. | Khoshzaban, A. | Keshal, S. Heidari | Bahrami, H. | Khoshzaban, A. | Keshal, S. Heidari | Alharbi, K. K. R. | Zhalbinova, M. | Akilzhanova, A. | Rakhimova, S. | Bekbosynova, M. | Myrzakhmetova, S. | Matar, M. | Mili, N. | Molinari, R. | Ma, Y. | Guerrier, S. | Elhawary, N. | Tayeb, M. | Bogari, N. | Qotb, N. | McClymont, S. A. | Hook, P. W. | Goff, L. A. | McCallion, A. | Kong, Y. | Charette, J. R. | Hicks, W. L. | Naggert, J. K. | Zhao, L. | Nishina, P. M. | Edrees, B. M. | Athar, M. | Al-Allaf, F. A. | Taher, M. M. | Khan, W. | Bouazzaoui, A. | Harbi, N. A. | Safar, R. | Al-Edressi, H. | Anazi, A. | Altayeb, N. | Ahmed, M. A. | Alansary, K. | Abduljaleel, Z. | Kratz, A. | Beguin, P. | Poulain, S. | Kaneko, M. | Takahiko, C. | Matsunaga, A. | Kato, S. | Suzuki, A. M. | Bertin, N. | Lassmann, T. | Vigot, R. | Carninci, P. | Plessy, C. | Launey, T. | Graur, D. | Lee, D. | Kapoor, A. | Chakravarti, A. | Friis-Nielsen, J. | Izarzugaza, J. M. | Brunak, S. | Chakraborty, A. | Basak, J. | Mukhopadhyay, A. | Soibam, B. S. | Das, D. | Biswas, N. | Das, S. | Sarkar, S. | Maitra, A. | Panda, C. | Majumder, P. | Morsy, H. | Gaballah, A. | Samir, M. | Shamseya, M. | Mahrous, H. | Ghazal, A. | Arafat, W. | Hashish, M. | Gruber, J. J. | Jaeger, N. | Snyder, M. | Patel, K. | Bowman, S. | Davis, T. | Kraushaar, D. | Emerman, A. | Russello, S. | Henig, N. | Hendrickson, C. | Zhang, K. | Rodriguez-Dorantes, M. | Cruz-Hernandez, C. D. | Garcia-Tobilla, C. D. P. | Solorzano-Rosales, S. | Jäger, N. | Chen, J. | Haile, R. | Hitchins, M. | Brooks, J. D. | Snyder, M. | Jiménez-Morales, S. | Ramírez, M. | Nuñez, J. | Bekker, V. | Leal, Y. | Jiménez, E. | Medina, A. | Hidalgo, A. | Mejía, J. | Halytskiy, V. | Naggert, J. | Collin, G. B. | DeMauro, K. | Hanusek, R. | Nishina, P. M. | Belhassa, K. | Belhassan, K. | Bouguenouch, L. | Samri, I. | Sayel, H. | moufid, FZ. | El Bouchikhi, I. | Trhanint, S. | Hamdaoui, H. | Elotmani, I. | Khtiri, I. | Kettani, O. | Quibibo, L. | Ahagoud, M. | Abbassi, M. | Ouldim, K. | Marusin, A. V. | Kornetov, A. N. | Swarovskaya, M. | Vagaiceva, K. | Stepanov, V. | De La Paz, E. M. Cutiongco | Sy, R. | Nevado, J. | Reganit, P. | Santos, L. | Magno, J. D. | Punzalan, F. E. | Ona, D. | Llanes, E. | Santos-Cortes, R. L. | Tiongco, R. | Aherrera, J. | Abrahan, L. | Pagauitan-Alan, P. | Morelli, K. H. | Domire, J. S. | Pyne, N. | Harper, S. | Burgess, R. | Zhalbinova, M. | Akilzhanova, A. | Rakhimova, S. | Bekbosynova, M. | Myrzakhmetova, S. | Gari, M. A. | Dallol, A. | Alsehli, H. | Gari, A. | Gari, M. | Abuzenadah, A. | Thomas, M. | Sukhai, M. | Garg, S. | Misyura, M. | Zhang, T. | Schuh, A. | Stockley, T. | Kamel-Reid, S. | Sherry, S. | Xiao, C. | Slotta, D. | Rodarmer, K. | Feolo, M. | Kimelman, M. | Godynskiy, G. | O’Sullivan, C. | Yaschenko, E. | Xiao, C. | Yaschenko, E. | Sherry, S. | Rangel-Escareño, C. | Rueda-Zarate, H. | Tayubi, I. A. | Mohammed, R. | Ahmed, I. | Ahmed, T. | Seth, S. | Amin, S. | Song, X. | Mao, X. | Sun, H. | Verhaak, R. G. | Futreal, A. | Zhang, J. | Whiite, S. J. | Chiang, T. | English, A. | Farek, J. | Kahn, Z. | Salerno, W. | Veeraraghavan, N. | Boerwinkle, E. | Gibbs, R. | Kasukawa, T. | Lizio, M. | Harshbarger, J. | Hisashi, S. | Severin, J. | Imad, A. | Sahin, S. | Freeman, T. C. | Baillie, K. | Sandelin, A. | Carninci, P. | Forrest, A. R. R. | Kawaji, H. | Salerno, W. | English, A. | Shekar, S. N. | Mangubat, A. | Bruestle, J. | Boerwinkle, E. | Gibbs, R. A. | Salem, A. H. | Ali, M. | Ibrahim, A. | Ibrahim, M. | Barrera, H. A. | Garza, L. | Torres, J. A. | Barajas, V. | Ulloa-Aguirre, A. | Kershenobich, D. | Mortaji, Shahroj | Guizar, Pedro | Loera, Eliezer | Moreno, Karen | De León, Adriana | Monsiváis, Daniela | Gómez, Jackeline | Cardiel, Raquel | Fernandez-Lopez, J. C. | Bonifaz-Peña, V. | Rangel-Escareño, C. | Hidalgo-Miranda, A. | Contreras, A. V. | Polfus, L. | Wang, X. | Philip, V. | Carter, G. | Abuzenadah, A. A. | Gari, M. | Turki, R. | Dallol, A. | Uyar, A. | Kaygun, A. | Zaman, S. | Marquez, E. | George, J. | Ucar, D. | Hendrickson, C. L. | Emerman, A. | Kraushaar, D. | Bowman, S. | Henig, N. | Davis, T. | Russello, S. | Patel, K. | Starr, D. B. | Baird, M. | Kirkpatrick, B. | Sheets, K. | Nitsche, R. | Prieto-Lafuente, L. | Landrum, M. | Lee, J. | Rubinstein, W. | Maglott, D. | Thavanati, P. K. R. | de Dios, A. Escoto | Hernandez, R. E. Navarro | Aldrate, M. E. Aguilar | Mejia, M. R. Ruiz | Kanala, K. R. R. | Abduljaleel, Z. | Khan, W. | Al-Allaf, F. A. | Athar, M. | Taher, M. M. | Shahzad, N. | Bouazzaoui, A. | Huber, E. | Dan, A. | Al-Allaf, F. A. | Herr, W. | Sprotte, G. | Köstler, J. | Hiergeist, A. | Gessner, A. | Andreesen, R. | Holler, E. | Al-Allaf, F. | Alashwal, A. | Abduljaleel, Z. | Taher, M. | Bouazzaoui, A. | Abalkhail, H. | Al-Allaf, A. | Bamardadh, R. | Athar, M. | Filiptsova, O. | Kobets, M. | Kobets, Y. | Burlaka, I. | Timoshyna, I. | Filiptsova, O. | Kobets, M. N. | Kobets, Y. | Burlaka, I. | Timoshyna, I. | Filiptsova, O. | Kobets, M. N. | Kobets, Y. | Burlaka, I. | Timoshyna, I. | Al-allaf, F. A. | Mohiuddin, M. T. | Zainularifeen, A. | Mohammed, A. | Abalkhail, H. | Owaidah, T. | Bouazzaoui, A.
Human Genomics  2016;10(Suppl 1):12.
Table of contents
O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder
A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson
O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents
R. Polimanti, J. Gelernter
O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort
X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group
O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus
A. Kapoor, D. Lee, A. Chakravarti
O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells
C. Maercker, F. Graf, M. Boutros
O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies
G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis
O7 Role of microRNA in LCL to IPSC reprogramming
S. Kumar, J. Curran, J. Blangero
O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease
S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti
O9 Metabolomic profiling for the diagnosis of neurometabolic disorders
T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea
O10 A novel causal methylation network approach to Alzheimer’s disease
Z. Hu, P. Wang, Y. Zhu, J. Zhao, M. Xiong, David A Bennett
O11 A microRNA signature identifies subtypes of triple-negative breast cancer and reveals MIR-342-3P as regulator of a lactate metabolic pathway
A. Hidalgo-Miranda, S. Romero-Cordoba, S. Rodriguez-Cuevas, R. Rebollar-Vega, E. Tagliabue, M. Iorio, E. D’Ippolito, S. Baroni
O12 Transcriptome analysis identifies genes, enhancer RNAs and repetitive elements that are recurrently deregulated across multiple cancer types
B. Kaczkowski, Y. Tanaka, H. Kawaji, A. Sandelin, R. Andersson, M. Itoh, T. Lassmann, the FANTOM5 consortium, Y. Hayashizaki, P. Carninci, A. R. R. Forrest
O13 Elevated mutation and widespread loss of constraint at regulatory and architectural binding sites across 11 tumour types
C. A. Semple
O14 Exome sequencing provides evidence of pathogenicity for genes implicated in colorectal cancer
E. A. Rosenthal, B. Shirts, L. Amendola, C. Gallego, M. Horike-Pyne, A. Burt, P. Robertson, P. Beyers, C. Nefcy, D. Veenstra, F. Hisama, R. Bennett, M. Dorschner, D. Nickerson, J. Smith, K. Patterson, D. Crosslin, R. Nassir, N. Zubair, T. Harrison, U. Peters, G. Jarvik, NHLBI GO Exome Sequencing Project
O15 The tandem duplicator phenotype as a distinct genomic configuration in cancer
F. Menghi, K. Inaki, X. Woo, P. Kumar, K. Grzeda, A. Malhotra, H. Kim, D. Ucar, P. Shreckengast, K. Karuturi, J. Keck, J. Chuang, E. T. Liu
O16 Modeling genetic interactions associated with molecular subtypes of breast cancer
B. Ji, A. Tyler, G. Ananda, G. Carter
O17 Recurrent somatic mutation in the MYC associated factor X in brain tumors
H. Nikbakht, M. Montagne, M. Zeinieh, A. Harutyunyan, M. Mcconechy, N. Jabado, P. Lavigne, J. Majewski
O18 Predictive biomarkers to metastatic pancreatic cancer treatment
J. B. Goldstein, M. Overman, G. Varadhachary, R. Shroff, R. Wolff, M. Javle, A. Futreal, D. Fogelman
O19 DDIT4 gene expression as a prognostic marker in several malignant tumors
L. Bravo, W. Fajardo, H. Gomez, C. Castaneda, C. Rolfo, J. A. Pinto
O20 Spatial organization of the genome and genomic alterations in human cancers
K. C. Akdemir, L. Chin, A. Futreal, ICGC PCAWG Structural Alterations Group
O21 Landscape of targeted therapies in solid tumors
S. Patterson, C. Statz, S. Mockus
O22 Genomic analysis reveals novel drivers and progression pathways in skin basal cell carcinoma
S. N. Nikolaev, X. I. Bonilla, L. Parmentier, B. King, F. Bezrukov, G. Kaya, V. Zoete, V. Seplyarskiy, H. Sharpe, T. McKee, A. Letourneau, P. Ribaux, K. Popadin, N. Basset-Seguin, R. Ben Chaabene, F. Santoni, M. Andrianova, M. Guipponi, M. Garieri, C. Verdan, K. Grosdemange, O. Sumara, M. Eilers, I. Aifantis, O. Michielin, F. de Sauvage, S. Antonarakis
O23 Identification of differential biomarkers of hepatocellular carcinoma and cholangiocarcinoma via transcriptome microarray meta-analysis
S. Likhitrattanapisal
O24 Clinical validity and actionability of multigene tests for hereditary cancers in a large multi-center study
S. Lincoln, A. Kurian, A. Desmond, S. Yang, Y. Kobayashi, J. Ford, L. Ellisen
O25 Correlation with tumor ploidy status is essential for correct determination of genome-wide copy number changes by SNP array
T. L. Peters, K. R. Alvarez, E. F. Hollingsworth, D. H. Lopez-Terrada
O26 Nanochannel based next-generation mapping for interrogation of clinically relevant structural variation
A. Hastie, Z. Dzakula, A. W. Pang, E. T. Lam, T. Anantharaman, M. Saghbini, H. Cao, BioNano Genomics
O27 Mutation spectrum in a pulmonary arterial hypertension (PAH) cohort and identification of associated truncating mutations in TBX4
C. Gonzaga-Jauregui, L. Ma, A. King, E. Berman Rosenzweig, U. Krishnan, J. G. Reid, J. D. Overton, F. Dewey, W. K. Chung
O28 NORTH CAROLINA macular dystrophy (MCDR1): mutations found affecting PRDM13
K. Small, A. DeLuca, F. Cremers, R. A. Lewis, V. Puech, B. Bakall, R. Silva-Garcia, K. Rohrschneider, M. Leys, F. S. Shaya, E. Stone
O29 PhenoDB and genematcher, solving unsolved whole exome sequencing data
N. L. Sobreira, F. Schiettecatte, H. Ling, E. Pugh, D. Witmer, K. Hetrick, P. Zhang, K. Doheny, D. Valle, A. Hamosh
O30 Baylor-Johns Hopkins Center for Mendelian genomics: a four year review
S. N. Jhangiani, Z. Coban Akdemir, M. N. Bainbridge, W. Charng, W. Wiszniewski, T. Gambin, E. Karaca, Y. Bayram, M. K. Eldomery, J. Posey, H. Doddapaneni, J. Hu, V. R. Sutton, D. M. Muzny, E. A. Boerwinkle, D. Valle, J. R. Lupski, R. A. Gibbs
O31 Using read overlap assembly to accurately identify structural genetic differences in an ashkenazi jewish trio
S. Shekar, W. Salerno, A. English, A. Mangubat, J. Bruestle
O32 Legal interoperability: a sine qua non for international data sharing
A. Thorogood, B. M. Knoppers, Global Alliance for Genomics and Health - Regulatory and Ethics Working Group
O33 High throughput screening platform of competent sineups: that can enhance translation activities of therapeutic target
H. Takahashi, K. R. Nitta, A. Kozhuharova, A. M. Suzuki, H. Sharma, D. Cotella, C. Santoro, S. Zucchelli, S. Gustincich, P. Carninci
O34 The undiagnosed diseases network international (UDNI): clinical and laboratory research to meet patient needs
J. J. Mulvihill, G. Baynam, W. Gahl, S. C. Groft, K. Kosaki, P. Lasko, B. Melegh, D. Taruscio
O36 Performance of computational algorithms in pathogenicity predictions for activating variants in oncogenes versus loss of function mutations in tumor suppressor genes
R. Ghosh, S. Plon
O37 Identification and electronic health record incorporation of clinically actionable pharmacogenomic variants using prospective targeted sequencing
S. Scherer, X. Qin, R. Sanghvi, K. Walker, T. Chiang, D. Muzny, L. Wang, J. Black, E. Boerwinkle, R. Weinshilboum, R. Gibbs
O38 Melanoma reprogramming state correlates with response to CTLA-4 blockade in metastatic melanoma
T. Karpinets, T. Calderone, K. Wani, X. Yu, C. Creasy, C. Haymaker, M. Forget, V. Nanda, J. Roszik, J. Wargo, L. Haydu, X. Song, A. Lazar, J. Gershenwald, M. Davies, C. Bernatchez, J. Zhang, A. Futreal, S. Woodman
O39 Data-driven refinement of complex disease classification from integration of heterogeneous functional genomics data in GeneWeaver
E. J. Chesler, T. Reynolds, J. A. Bubier, C. Phillips, M. A. Langston, E. J. Baker
O40 A general statistic framework for genome-based disease risk prediction
M. Xiong, L. Ma, N. Lin, C. Amos
O41 Integrative large-scale causal network analysis of imaging and genomic data and its application in schizophrenia studies
N. Lin, P. Wang, Y. Zhu, J. Zhao, V. Calhoun, M. Xiong
O42 Big data and NGS data analysis: the cloud to the rescue
O. Dobretsberger, M. Egger, F. Leimgruber
O43 Cpipe: a convergent clinical exome pipeline specialised for targeted sequencing
S. Sadedin, A. Oshlack, Melbourne Genomics Health Alliance
O44 A Bayesian classification of biomedical images using feature extraction from deep neural networks implemented on lung cancer data
V. A. A. Antonio, N. Ono, Clark Kendrick C. Go
O45 MAV-SEQ: an interactive platform for the Management, Analysis, and Visualization of sequence data
Z. Ahmed, M. Bolisetty, S. Zeeshan, E. Anguiano, D. Ucar
O47 Allele specific enhancer in EPAS1 intronic regions may contribute to high altitude adaptation of Tibetans
C. Zeng, J. Shao
O48 Nanochannel based next-generation mapping for structural variation detection and comparison in trios and populations
H. Cao, A. Hastie, A. W. Pang, E. T. Lam, T. Liang, K. Pham, M. Saghbini, Z. Dzakula
O49 Archaic introgression in indigenous populations of Malaysia revealed by whole genome sequencing
Y. Chee-Wei, L. Dongsheng, W. Lai-Ping, D. Lian, R. O. Twee Hee, Y. Yunus, F. Aghakhanian, S. S. Mokhtar, C. V. Lok-Yung, J. Bhak, M. Phipps, X. Shuhua, T. Yik-Ying, V. Kumar, H. Boon-Peng
O50 Breast and ovarian cancer prevention: is it time for population-based mutation screening of high risk genes?
I. Campbell, M.-A. Young, P. James, Lifepool
O53 Comprehensive coverage from low DNA input using novel NGS library preparation methods for WGS and WGBS
C. Schumacher, S. Sandhu, T. Harkins, V. Makarov
O54 Methods for large scale construction of robust PCR-free libraries for sequencing on Illumina HiSeqX platform
H. DoddapaneniR. Glenn, Z. Momin, B. Dilrukshi, H. Chao, Q. Meng, B. Gudenkauf, R. Kshitij, J. Jayaseelan, C. Nessner, S. Lee, K. Blankenberg, L. Lewis, J. Hu, Y. Han, H. Dinh, S. Jireh, K. Walker, E. Boerwinkle, D. Muzny, R. Gibbs
O55 Rapid capture methods for clinical sequencing
J. Hu, K. Walker, C. Buhay, X. Liu, Q. Wang, R. Sanghvi, H. Doddapaneni, Y. Ding, N. Veeraraghavan, Y. Yang, E. Boerwinkle, A. L. Beaudet, C. M. Eng, D. M. Muzny, R. A. Gibbs
O56 A diploid personal human genome model for better genomes from diverse sequence data
K. C. C. Worley, Y. Liu, D. S. T. Hughes, S. C. Murali, R. A. Harris, A. C. English, X. Qin, O. A. Hampton, P. Larsen, C. Beck, Y. Han, M. Wang, H. Doddapaneni, C. L. Kovar, W. J. Salerno, A. Yoder, S. Richards, J. Rogers, J. R. Lupski, D. M. Muzny, R. A. Gibbs
O57 Development of PacBio long range capture for detection of pathogenic structural variants
Q. Meng, M. Bainbridge, M. Wang, H. Doddapaneni, Y. Han, D. Muzny, R. Gibbs
O58 Rhesus macaques exhibit more non-synonymous variation but greater impact of purifying selection than humans
R. A. Harris, M. Raveenedran, C. Xue, M. Dahdouli, L. Cox, G. Fan, B. Ferguson, J. Hovarth, Z. Johnson, S. Kanthaswamy, M. Kubisch, M. Platt, D. Smith, E. Vallender, R. Wiseman, X. Liu, J. Below, D. Muzny, R. Gibbs, F. Yu, J. Rogers
O59 Assessing RNA structure disruption induced by single-nucleotide variation
J. Lin, Y. Zhang, Z. Ouyang
P1 A meta-analysis of genome-wide association studies of mitochondrial dna copy number
A. Moore, Z. Wang, J. Hofmann, M. Purdue, R. Stolzenberg-Solomon, S. Weinstein, D. Albanes, C.-S. Liu, W.-L. Cheng, T.-T. Lin, Q. Lan, N. Rothman, S. Berndt
P2 Missense polymorphic genetic combinations underlying down syndrome susceptibility
E. S. Chen
P4 The evaluation of alteration of ELAM-1 expression in the endometriosis patients
H. Bahrami, A. Khoshzaban, S. Heidari Keshal
P5 Obesity and the incidence of apolipoprotein E polymorphisms in an assorted population from Saudi Arabia population
K. K. R. Alharbi
P6 Genome-associated personalized antithrombotical therapy for patients with high risk of thrombosis and bleeding
M. Zhalbinova, A. Akilzhanova, S. Rakhimova, M. Bekbosynova, S. Myrzakhmetova
P7 Frequency of Xmn1 polymorphism among sickle cell carrier cases in UAE population
M. Matar
P8 Differentiating inflammatory bowel diseases by using genomic data: dimension of the problem and network organization
N. Mili, R. Molinari, Y. Ma, S. Guerrier
P9 Vulnerability of genetic variants to the risk of autism among Saudi children
N. Elhawary, M. Tayeb, N. Bogari, N. Qotb
P10 Chromatin profiles from ex vivo purified dopaminergic neurons establish a promising model to support studies of neurological function and dysfunction
S. A. McClymont, P. W. Hook, L. A. Goff, A. McCallion
P11 Utilization of a sensitized chemical mutagenesis screen to identify genetic modifiers of retinal dysplasia in homozygous Nr2e3rd7 mice
Y. Kong, J. R. Charette, W. L. Hicks, J. K. Naggert, L. Zhao, P. M. Nishina
P12 Ion torrent next generation sequencing of recessive polycystic kidney disease in Saudi patients
B. M. Edrees, M. Athar, F. A. Al-Allaf, M. M. Taher, W. Khan, A. Bouazzaoui, N. A. Harbi, R. Safar, H. Al-Edressi, A. Anazi, N. Altayeb, M. A. Ahmed, K. Alansary, Z. Abduljaleel
P13 Digital expression profiling of Purkinje neurons and dendrites in different subcellular compartments
A. Kratz, P. Beguin, S. Poulain, M. Kaneko, C. Takahiko, A. Matsunaga, S. Kato, A. M. Suzuki, N. Bertin, T. Lassmann, R. Vigot, P. Carninci, C. Plessy, T. Launey
P14 The evolution of imperfection and imperfection of evolution: the functional and functionless fractions of the human genome
D. Graur
P16 Species-independent identification of known and novel recurrent genomic entities in multiple cancer patients
J. Friis-Nielsen, J. M. Izarzugaza, S. Brunak
P18 Discovery of active gene modules which are densely conserved across multiple cancer types reveal their prognostic power and mutually exclusive mutation patterns
B. S. Soibam
P19 Whole exome sequencing of dysplastic leukoplakia tissue indicates sequential accumulation of somatic mutations from oral precancer to cancer
D. Das, N. Biswas, S. Das, S. Sarkar, A. Maitra, C. Panda, P. Majumder
P21 Epigenetic mechanisms of carcinogensis by hereditary breast cancer genes
J. J. Gruber, N. Jaeger, M. Snyder
P22 RNA direct: a novel RNA enrichment strategy applied to transcripts associated with solid tumors
K. Patel, S. Bowman, T. Davis, D. Kraushaar, A. Emerman, S. Russello, N. Henig, C. Hendrickson
P23 RNA sequencing identifies gene mutations for neuroblastoma
K. Zhang
P24 Participation of SFRP1 in the modulation of TMPRSS2-ERG fusion gene in prostate cancer cell lines
M. Rodriguez-Dorantes, C. D. Cruz-Hernandez, C. D. P. Garcia-Tobilla, S. Solorzano-Rosales
P25 Targeted Methylation Sequencing of Prostate Cancer
N. Jäger, J. Chen, R. Haile, M. Hitchins, J. D. Brooks, M. Snyder
P26 Mutant TPMT alleles in children with acute lymphoblastic leukemia from México City and Yucatán, Mexico
S. Jiménez-Morales, M. Ramírez, J. Nuñez, V. Bekker, Y. Leal, E. Jiménez, A. Medina, A. Hidalgo, J. Mejía
P28 Genetic modifiers of Alström syndrome
J. Naggert, G. B. Collin, K. DeMauro, R. Hanusek, P. M. Nishina
P31 Association of genomic variants with the occurrence of angiotensin-converting-enzyme inhibitor (ACEI)-induced coughing among Filipinos
E. M. Cutiongco De La Paz, R. Sy, J. Nevado, P. Reganit, L. Santos, J. D. Magno, F. E. Punzalan , D. Ona , E. Llanes, R. L. Santos-Cortes , R. Tiongco, J. Aherrera, L. Abrahan, P. Pagauitan-Alan; Philippine Cardiogenomics Study Group
P32 The use of “humanized” mouse models to validate disease association of a de novo GARS variant and to test a novel gene therapy strategy for Charcot-Marie-Tooth disease type 2D
K. H. Morelli, J. S. Domire, N. Pyne, S. Harper, R. Burgess
P34 Molecular regulation of chondrogenic human induced pluripotent stem cells
M. A. Gari, A. Dallol, H. Alsehli, A. Gari, M. Gari, A. Abuzenadah
P35 Molecular profiling of hematologic malignancies: implementation of a variant assessment algorithm for next generation sequencing data analysis and clinical reporting
M. Thomas, M. Sukhai, S. Garg, M. Misyura, T. Zhang, A. Schuh, T. Stockley, S. Kamel-Reid
P36 Accessing genomic evidence for clinical variants at NCBI
S. Sherry, C. Xiao, D. Slotta, K. Rodarmer, M. Feolo, M. Kimelman, G. Godynskiy, C. O’Sullivan, E. Yaschenko
P37 NGS-SWIFT: a cloud-based variant analysis framework using control-accessed sequencing data from DBGAP/SRA
C. Xiao, E. Yaschenko, S. Sherry
P38 Computational assessment of drug induced hepatotoxicity through gene expression profiling
C. Rangel-Escareño, H. Rueda-Zarate
P40 Flowr: robust and efficient pipelines using a simple language-agnostic approach;ultraseq; fast modular pipeline for somatic variation calling using flowr
S. Seth, S. Amin, X. Song, X. Mao, H. Sun, R. G. Verhaak, A. Futreal, J. Zhang
P41 Applying “Big data” technologies to the rapid analysis of heterogenous large cohort data
S. J. Whiite, T. Chiang, A. English, J. Farek, Z. Kahn, W. Salerno, N. Veeraraghavan, E. Boerwinkle, R. Gibbs
P42 FANTOM5 web resource for the large-scale genome-wide transcription start site activity profiles of wide-range of mammalian cells
T. Kasukawa, M. Lizio, J. Harshbarger, S. Hisashi, J. Severin, A. Imad, S. Sahin, T. C. Freeman, K. Baillie, A. Sandelin, P. Carninci, A. R. R. Forrest, H. Kawaji, The FANTOM Consortium
P43 Rapid and scalable typing of structural variants for disease cohorts
W. Salerno, A. English, S. N. Shekar, A. Mangubat, J. Bruestle, E. Boerwinkle, R. A. Gibbs
P44 Polymorphism of glutathione S-transferases and sulphotransferases genes in an Arab population
A. H. Salem, M. Ali, A. Ibrahim, M. Ibrahim
P46 Genetic divergence of CYP3A5*3 pharmacogenomic marker for native and admixed Mexican populations
J. C. Fernandez-Lopez, V. Bonifaz-Peña, C. Rangel-Escareño, A. Hidalgo-Miranda, A. V. Contreras
P47 Whole exome sequence meta-analysis of 13 white blood cell, red blood cell, and platelet traits
L. Polfus, CHARGE and NHLBI Exome Sequence Project Working Groups
P48 Association of adipoq gene with type 2 diabetes and related phenotypes in african american men and women: The jackson heart study
S. Davis, R. Xu, S. Gebeab, P Riestra, A Gaye, R. Khan, J. Wilson, A. Bidulescu
P49 Common variants in casr gene are associated with serum calcium levels in koreans
S. H. Jung, N. Vinayagamoorthy, S. H. Yim, Y. J. Chung
P50 Inference of multiple-wave population admixture by modeling decay of linkage disequilibrium with multiple exponential functions
Y. Zhou, S. Xu
P51 A Bayesian framework for generalized linear mixed models in genome-wide association studies
X. Wang, V. Philip, G. Carter
P52 Targeted sequencing approach for the identification of the genetic causes of hereditary hearing impairment
A. A. Abuzenadah, M. Gari, R. Turki, A. Dallol
P53 Identification of enhancer sequences by ATAC-seq open chromatin profiling
A. Uyar, A. Kaygun, S. Zaman, E. Marquez, J. George, D. Ucar
P54 Direct enrichment for the rapid preparation of targeted NGS libraries
C. L. Hendrickson, A. Emerman, D. Kraushaar, S. Bowman, N. Henig, T. Davis, S. Russello, K. Patel
P56 Performance of the Agilent D5000 and High Sensitivity D5000 ScreenTape assays for the Agilent 4200 Tapestation System
R. Nitsche, L. Prieto-Lafuente
P57 ClinVar: a multi-source archive for variant interpretation
M. Landrum, J. Lee, W. Rubinstein, D. Maglott
P59 Association of functional variants and protein physical interactions of human MUTY homolog linked with familial adenomatous polyposis and colorectal cancer syndrome
Z. Abduljaleel, W. Khan, F. A. Al-Allaf, M. Athar , M. M. Taher, N. Shahzad
P60 Modification of the microbiom constitution in the gut using chicken IgY antibodies resulted in a reduction of acute graft-versus-host disease after experimental bone marrow transplantation
A. Bouazzaoui, E. Huber, A. Dan, F. A. Al-Allaf, W. Herr, G. Sprotte, J. Köstler, A. Hiergeist, A. Gessner, R. Andreesen, E. Holler
P61 Compound heterozygous mutation in the LDLR gene in Saudi patients suffering severe hypercholesterolemia
F. Al-Allaf, A. Alashwal, Z. Abduljaleel, M. Taher, A. Bouazzaoui, H. Abalkhail, A. Al-Allaf, R. Bamardadh, M. Athar
doi:10.1186/s40246-016-0063-5
PMCID: PMC4896275  PMID: 27294413
2.  A long non-coding RNA interacts with Gfra1 and maintains survival of mouse spermatogonial stem cells 
Li, L | Wang, M | Wang, M | Wu, X | Geng, L | Xue, Y | Wei, X | Jia, Y | Wu, X
Cell Death & Disease  2016;7(3):e2140-.
Spermatogonial stem cells (SSCs) are unique male germline stem cells that support spermatogenesis and male fertility. Long non-coding RNAs (lncRNA) have been identified as key regulators of stem cell fate; however, their role in SSCs has not been explored. Here, we report that a novel spermatogonia-specific lncRNA (lncRNA033862) is essential for the survival of murine SSCs. LncRNA033862 is expressed in early spermatogonia including SSC and was among 805 lncRNAs identified by global expression profiling as responsive to glial cell-derived neurotrophic factor (GDNF), a growth factor required for SSC self-renewal and survival. LncRNA033862 is an antisense transcript of the GDNF receptor alpha1 (Gfra1) that lacks protein coding potential and regulates Gfra1 expression levels by interacting with Gfra1 chromatin. Importantly, lncRNA033862 knockdown severely impairs SSC survival and their capacity to repopulate recipient testes in a transplantation assay. Collectively, our data provide the first evidence that long non-coding RNAs (lncRNAs) regulate SSC fate.
doi:10.1038/cddis.2016.24
PMCID: PMC4823932  PMID: 26962690
3.  ACTIVATION OF B-CATENIN SIGNALLING LEADS TO TEMPOROMANDIBULAR JOINT DEFECTS 
European cells & materials  2014;28:223-235.
Despite extensive research in knee and hip osteoarthritis (OA), the underlying mechanism of temporomandibular joint (TMJ) disorder remains largely unknown. The purpose of this study was to determine whether the constitutive activation of β-catenin in the middle and deep layers of the articular cartilage can compromise the homeostasis of this tissue in the TMJ. Co12CreERT2 transgenic mice were bred with RosamT/mG reporter mice to determine Cre recombination efficiency. Co12CreERT2 mice were then crossed with β-cateninflox (ex3)/+ mice to generate β-catenin conditional activation mice, β-catenin(ex3)Co12ER. TMJ samples were harvested when the mice were 1-, 3- or 6-month-old and evaluated using histology, histomorphometry and immunohistochemistry. β-catenin(ex3)Co12ER mice were further crossed with Mmp13flox/flox and Adamts5−/− mice to generate β-catenin(ex3)/Mmp13)Co12ER and β-catenin(ex3)Co12ER)/Adamts5−/− double mutant mice to investigate the role of Mmp13 and Adamts5 in the development of TMJ disorder. High levels of Cre-recombination were seen in Co12CreERT2;RosamT/mG mice. Progressive TMJ defects developed in 1-, 3- and 6-month-old β-catenin(ex3)Co12ER mice, as revealed by histology and histomorphometry. Results further demonstrated that the defects observed in β-catenin(ex3)Co12ER mice were significantly decelerated after deletion of the Mmp13 or Adamts5 gene in (β-catenin(ex3)/Mmp13)co12ER or β-catenin(ex3)Co12ER/ Adamts5−/− double mutant mice. In summary, we found that β-catenin is a critical gene in the induction of TMJ cartilage degeneration, and over-expressing β-catenin in TMJ cartilage leads to defects assembling an OA-like phenotype. Deletion of Mmp13 and Adamts5 in β-catenin(ex3)Co12ER mice ameliorates the development of TMJ defects. This study suggests that Mmp13 and Adamts5 could be potential therapeutic targets for the treatment of TMJ disorders.
PMCID: PMC4288590  PMID: 25340802
Temporomandibular joint; osteoarthritis; β-catenin; MMP13; Adamts5
4.  SUMOylation and SENP3 regulate STAT3 activation in head and neck cancer 
Oncogene  2016;35(45):5826-5838.
Hyperphosphorylation of signal transducer and activator of transcription 3 (STAT3) has been found in various types of human cancers, including head and neck cancer (HNC). Although smoking is critical in the development and progression of HNC, how tobacco components activate STAT3 is unclear. We demonstrated that exposure of HNC cell lines to a tobacco extract induced a rapid Y705 phosphorylation of STAT3 and a rapid increase in the SUMO protease SENP3 that depended on a simultaneous increase in reactive oxygen species. We identified that SUMOylation at the lysine 451 site facilitated STAT3 binding to the phosphatase TC45 through an SUMO-interacting motif of TC45. SENP3 could thus enhance STAT3 phosphorylation by de-conjugating the SUMO2/3 modification of STAT3. Knocking-down of SENP3 greatly impaired basal and induced STAT3 phosphorylation by tobacco extract or interleukin 6. A correlation between SENP3 protein levels and STAT3 Y705 phosphorylation levels in human laryngeal carcinoma specimens was found, which was more significant in the specimens derived from the smoker patients and with poor clinicopathological parameters. Our data identified SUMOylation as a previously undescribed post-translational modification of STAT3 and SENP3 as a critical positive modulator of tobacco- or cytokine-induced STAT3 activation. These findings provide novel insights into the hyperphosphorylation of STAT3 in development of HNC.
doi:10.1038/onc.2016.124
PMCID: PMC5116054  PMID: 27181202
5.  RIG-I detects HIV-1 infection and mediates type I interferon response in human macrophages from patients with HIV-1-associated neurocognitive disorders 
Genetics and molecular research : GMR  2015;14(4):13799-13811.
The aim of this study was to explore the precise role of retinoic acid-inducible gene-I (RIG-I) signaling in human immunodeficiency virus type 1 (HIV-1)-infected macrophages from patients with HIV-1-associated neurocognitive disorders (HAND). Postmortem brain tissues were collected from patients with HIV-1-associated dementia and were compared to samples collected from HIV serum-positive patients without dementia and HIV serum-negative patients. A human monocyte-derived macrophage (MDM) primary culture system was established to evaluate the expression of RIG-I in these samples. Knockdown of RIG-I pathways genes was employed and STAT1 expression and phosphorylation levels were examined to explore the molecular mechanisms of HAND. The expression of RIG-I in postmortem brain tissue from HAND patients was significantly higher than in patients who were HIV serum-positive without dementia or HIV serum-negative. Moreover, we demonstrated that HIV-1 infection could result in a significant increase in the level of RIG-I in human MDMs. Moreover, a correlation was found between the increase in RIG-I expression and STAT1 expression and phosphorylation. Accordingly, knockdown of RIG-I decreased the phosphorylation of STAT1 and downregulated interferon-related genes. These observations highlight the importance of RIG-I signaling in anti-HIV innate immunity in macrophages, which may be beneficial for the treatment of HIV and aid in the understanding of the neuropathogenesis of HAND.
doi:10.4238/2015.October.28.42
PMCID: PMC4864023  PMID: 26535695
Retinoic acid-inducible gene-I; Monocyte-derived macrophage; Human immunodeficiency virus type I; HIV-1 associated neurocognitive disorders
6.  Phage, Protease, Peptide: A novel trifecta enabling multiplex detection of viable bacterial pathogens 
Applied microbiology and biotechnology  2015;99(19):8177-8185.
Bacteriophages represent rapid, readily targeted, and easily produced molecular probes for the detection of bacterial pathogens. Molecular biology techniques have allowed researchers to make significant advances in the bioengineering of bacteriophage to further improve speed and sensitivity of detection. Despite their host-specificity, bacteriophages have not been meaningfully leveraged in multiplex detection of bacterial pathogens. We propose a proof-of-principal phage-based scheme to enable multiplex detection. Our scheme involves bioengineering bacteriophage to carry a gene for a specific protease, which is expressed during infection of the target cell. Upon lysis, the protease is released to cleave a reporter peptide, and the signal detected. Here we demonstrate the successful: i) modification of T7 bacteriophage to carry TEV protease; ii) expression of TEV protease by E. coli following infection by our modified T7, an average of 2000 units of protease per phage are produced during infection; and iii) proof-of-principle detection of E. coli in 3 hours after a primary enrichment via TEV protease activity using a fluorescent peptide and using a designed target peptide for MALDI-TOF MS analysis. This proof-of-principle can be translated to other phage-protease-peptide combinations to enable multiplex bacterial detection, and readily adopted on multiple platforms, like MALDI-TOF MS or fluorescent readers, commonly found in labs.
doi:10.1007/s00253-015-6867-8
PMCID: PMC4963237  PMID: 26245682
Biosensors; Bacteriophage; Protease; Multiplex
7.  Evaluation of a Socio-Cultural Intervention to Reduce Unprotected Sex for HIV Among African American/Black Women 
AIDS and behavior  2015;19(10):1752-1762.
African American/Black (Black) women suffer disproportionately to other women from HIV. An HIV prevention intervention combining two previous evidenced-based HIV intervention programs; “Coping with Work and Family Stress” and “Hip Hop 2 Prevent Substance Abuse and HIV”, was evaluated in a diverse sample of Black women (n=205). Study participants at 10 recruitment sites were assigned non-randomly to either the intervention or comparison group and then surveyed at baseline, immediate posttest, and 6-month follow-up. General Estimating Equation modeling revealed that participants in the comparison group reported less unprotected sex at immediate post-test and the intervention group less unprotected sex at 6-month follow-up. Despite the initial drop in reported unprotected sex in the comparison group, this study suggests that an HIV risk reduction intervention tailored to address Black women’s socio-cultural stress and enhance their coping may reduce their unprotected sex at 6-months.
doi:10.1007/s10461-015-1004-3
PMCID: PMC4523469  PMID: 25645327
8.  Single-specificity anti-Ku antibodies in an international cohort of 2140 systemic sclerosis subjects: clinical associations 
Medicine  2016;95(35):e4713.
Supplemental Digital Content is available in the text
Abstract
Autoantibodies directed against the Ku autoantigen are present in systemic sclerosis (SSc) and have been associated with myositis overlap and interstitial lung disease (ILD). However, there is a paucity of data on the clinical correlates of anti-Ku antibodies in the absence of other SSc-specific antibodies. The aim of this study was to assess the clinical correlates of single-specificity anti-Ku in SSc.
An international (Canada, Australia, USA, Mexico) cohort of 2140 SSc subjects was formed, demographic and clinical variables were harmonized, and sera were tested for anti-Ku using a line immunoassay. Associations between single-specificity anti-Ku antibodies (i.e., in isolation of other SSc-specific antibodies) and outcomes of interest, including myositis, ILD, and survival, were investigated.
Twenty-four (1.1%) subjects had antibodies against Ku, and 13 (0.6%) had single-specificity anti-Ku antibodies. Subjects with single-specificity anti-Ku antibodies were more likely to have ILD (58% vs 34%), and to have increased creatine kinase levels (>3× normal) at baseline (11% vs 1%) and during follow-up (10% vs 2%). No difference in survival was noted in subjects with and without single-specificity anti-Ku antibodies.
This is the largest cohort to date focusing on the prevalence and disease characteristics of single-specificity anti-Ku antibodies in subjects with SSc. These results need to be interpreted with caution in light of the small sample. International collaboration is key to understanding the clinical correlates of uncommon serological profiles in SSc.
doi:10.1097/MD.0000000000004713
PMCID: PMC5008592  PMID: 27583908
anti-Ku antibodies; international cohort; interstitial lung disease; single-specificity; systemic sclerosis
9.  Novel function of FAXDC2 in megakaryopoiesis 
Blood Cancer Journal  2016;6(9):e478-.
FAXDC2 (fatty acid hydroxylase domain containing 2) is a member of the fatty acid hydroxylase superfamily. Given the important role of fatty acids in megakaryocytes, we have studied the role of this gene in the development of this lineage. Here we show that the expression of FAXDC2 is constantly elevated during megakaryocyte maturation. In contrast, FAXDC2 is significantly downregulated in acute myeloid leukemia and acute megakaryoblastic leukemia. Moreover, FAXDC2 overexpression promotes the differentiation of megakaryocytic cell lines and primary cells, whereas its knockdown disrupts their maturation. Mechanism study shows that FAXDC2 overexpression enhances extracellular signal-regulated kinase (ERK) signaling and increases RUNX1 (Runt-related transcription factor 1) expression. FAXDC2 also restores megakaryocytic differentiation in cells exposed to an ERK inhibitor or those expressing a dominant negative form of RUNX1. Finally, FAXDC2 overexpression leads to an increase in sphingolipid GM3 synthase, suggesting a potential role of FAXDC2 in lipid metabolism that increases ERK signaling and facilitates megakaryocyte differentiation. Together, these results show that FAXDC2 plays a novel role in development of megakaryocytes and its dysregulation may contribute to abnormal hematopoietic cell development in leukemia.
doi:10.1038/bcj.2016.87
PMCID: PMC5056977  PMID: 27689744
10.  Benchmarking RNA-Seq quantification tools 
RNA-Seq, a deep sequencing technique, promises to be a potential successor to microarraysfor studying the transcriptome. One of many aspects of transcriptomics that are of interest to researchers is gene expression estimation. With rapid development in RNA-Seq, there are numerous tools available to estimate gene expression, each producing different results. However, we do not know which of these tools produces the most accurate gene expression estimates. In this study we have addressed this issue using Cufflinks, IsoEM, HTSeq, and RSEM to quantify RNA-Seq expression profiles. Comparing results of these quantification tools, we observe that RNA-Seq relative expression estimates correlate with RT-qPCR measurements in the range of 0.85 to 0.89, with HTSeq exhibiting the highest correlation. But, in terms of root-mean-square deviation of RNA-Seq relative expression estimates from RT-qPCR measurements, we find HTSeq to produce the greatest deviation. Therefore, we conclude that, though Cufflinks, RSEM, and IsoEM might not correlate as well as HTSeq with RT-qPCR measurements, they may produce expression values with higher accuracy.
doi:10.1109/EMBC.2013.6609583
PMCID: PMC5003039  PMID: 24109770
12.  A High-Resolution Tile-Based Approach for Classifying Biological Regions in Whole-Slide Histopathological Images 
IFMBE proceedings  2014;42:280-283.
Computational analysis of histopathological whole slide images (WSIs) has emerged as a potential means for improving cancer diagnosis and prognosis. However, an open issue relating to the automated processing of WSIs is the identification of biological regions such as tumor, stroma, and necrotic tissue on the slide. We develop a method for classifying WSI portions (512x512-pixel tiles) into biological regions by (1) extracting a set of 461 image features from each WSI tile, (2) optimizing tile-level prediction models using nested cross-validation on a small (600 tile) manually annotated tile-level training set, and (3) validating the models against a much larger (1.7x106 tile) data set for which ground truth was available on the whole-slide level. We calculated the predicted prevalence of each tissue region and compared this prevalence to the ground truth prevalence for each image in an independent validation set. Results show significant correlation between the predicted (using automated system) and reported biological region prevalences with p < 0.001 for eight of nine cases considered.
doi:10.1007/978-3-319-03005-0_71
PMCID: PMC4983443  PMID: 27532012
13.  A protein-truncating R179X variant in RNF186 confers protection against ulcerative colitis 
Rivas, Manuel A. | Graham, Daniel | Sulem, Patrick | Stevens, Christine | Desch, A. Nicole | Goyette, Philippe | Gudbjartsson, Daniel | Jonsdottir, Ingileif | Thorsteinsdottir, Unnur | Degenhardt, Frauke | Mucha, Sören | Kurki, Mitja I. | Li, Dalin | D'Amato, Mauro | Annese, Vito | Vermeire, Severine | Weersma, Rinse K. | Halfvarson, Jonas | Paavola-Sakki, Paulina | Lappalainen, Maarit | Lek, Monkol | Cummings, Beryl | Tukiainen, Taru | Haritunians, Talin | Halme, Leena | Koskinen, Lotta L. E. | Ananthakrishnan, Ashwin N. | Luo, Yang | Heap, Graham A. | Visschedijk, Marijn C. | MacArthur, Daniel G. | Neale, Benjamin M. | Ahmad, Tariq | Anderson, Carl A. | Brant, Steven R. | Duerr, Richard H. | Silverberg, Mark S. | Cho, Judy H | Palotie, Aarno | Saavalainen, Päivi | Kontula, Kimmo | Färkkilä, Martti | McGovern, Dermot P. B. | Franke, Andre | Stefansson, Kari | Rioux, John D. | Xavier, Ramnik J. | Daly, Mark J. | Barrett, J. | de Lane, K. | Edwards, C. | Hart, A. | Hawkey, C. | Jostins, L. | Kennedy, N. | Lamb, C. | Lee, J. | Lees, C. | Mansfield, J. | Mathew, C. | Mowatt, C. | Newman, B. | Nimmo, E. | Parkes, M. | Pollard, M. | Prescott, N. | Randall, J. | Rice, D. | Satsangi, J. | Simmons, A. | Tremelling, M. | Uhlig, H. | Wilson, D. | Abraham, C. | Achkar, J. P. | Bitton, A. | Boucher, G. | Croitoru, K. | Fleshner, P. | Glas, J. | Kugathasan, S. | Limbergen, J. V. | Milgrom, R. | Proctor, D. | Regueiro, M. | Schumm, P. L. | Sharma, Y. | Stempak, J. M. | Targan, S. R. | Wang, M. H.
Nature Communications  2016;7:12342.
Protein-truncating variants protective against human disease provide in vivo validation of therapeutic targets. Here we used targeted sequencing to conduct a search for protein-truncating variants conferring protection against inflammatory bowel disease exploiting knowledge of common variants associated with the same disease. Through replication genotyping and imputation we found that a predicted protein-truncating variant (rs36095412, p.R179X, genotyped in 11,148 ulcerative colitis patients and 295,446 controls, MAF=up to 0.78%) in RNF186, a single-exon ring finger E3 ligase with strong colonic expression, protects against ulcerative colitis (overall P=6.89 × 10−7, odds ratio=0.30). We further demonstrate that the truncated protein exhibits reduced expression and altered subcellular localization, suggesting the protective mechanism may reside in the loss of an interaction or function via mislocalization and/or loss of an essential transmembrane domain.
While hundreds of loci are linked with inflammatory bowel diseases (IBDs), the functional consequences of the associated variants remain unclear. Here, the authors screened in ulcerative colitis (UC) patients' genomes for protein-truncating variants near IBD loci, and identify a protein truncating variant in RNF186 to be protective against UC.
doi:10.1038/ncomms12342
PMCID: PMC4980482  PMID: 27503255
14.  Interpreting the transmissibility of the avian influenza A(H7N9) infection from 2013 to 2015 in Zhejiang Province, China 
Epidemiology and Infection  2015;144(8):1584-1591.
SUMMARY
Three epidemic waves of human influenza A(H7N9) were documented in several different provinces in China between 2013 and 2015. With limited understanding of the potential for human-to-human transmission, it was difficult to implement control measures efficiently or to inform the public adequately about the application of interventions. In this study, the human-to-human transmission rate for the epidemics that occurred between 2013 and 2015 in Zhejiang Province, China, was analysed. The reproduction number (R), a key indicator of transmission intensity, was estimated by fitting the number of infections from poultry to humans and from humans to humans into a mathematical model. The posterior mean R for human-to-human transmission was estimated to be 0·27, with a 95% credible interval of 0·14–0·44 for the first wave, whereas the posterior mean Rs decreased to 0·15 in the second and third waves. Overall, these estimates indicate that a human H7N9 pandemic is unlikely to occur in Zhejiang. The reductions in the viral transmissibility and the number of poultry-transmitted infections after the first epidemic may be attributable to the various intervention measures taken, including changes in the extent of closures of live poultry markets.
doi:10.1017/S0950268815002812
PMCID: PMC4855998  PMID: 26645357
Influenza A; mathematical modelling; Susceptible-Infected-Removed (SIR) model
15.  A 14 × 14 μm2 footprint polarization-encoded quantum controlled-NOT gate based on hybrid waveguide 
Nature Communications  2016;7:11490.
Photonic quantum information processing system has been widely used in communication, metrology and lithography. The recent emphasis on the miniaturized photonic platform is thus motivated by the urgent need for realizing large-scale information processing and computing. Although the integrated quantum logic gates and quantum algorithms based on path encoding have been successfully demonstrated, the technology for handling another commonly used polarization-encoded qubits has yet to be fully developed. Here, we show the implementation of a polarization-dependent beam-splitter in the hybrid waveguide system. With precisely design, the polarization-encoded controlled-NOT gate can be implemented using only single such polarization-dependent beam-splitter with the significant size reduction of the overall device footprint to 14 × 14 μm2. The experimental demonstration of the highly integrated controlled-NOT gate sets the stage to develop large-scale quantum information processing system. Our hybrid design also establishes the new capabilities in controlling the polarization modes in integrated photonic circuits.
Photonic circuits often require separate components to manipulate light with orthogonal polarization, but this increases the chip size. Here, the authors create a polarization-dependent beam-splitter that uses dielectric loaded plasmonic waveguides to handle both polarizations in the same component.
doi:10.1038/ncomms11490
PMCID: PMC4857478  PMID: 27142992
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Adam, J. | Adamová, D. | Aggarwal, M. M. | Aglieri Rinella, G. | Agnello, M. | Agrawal, N. | Ahammed, Z. | Ahmad, S. | Ahn, S. U. | Aiola, S. | Akindinov, A. | Alam, S. N. | Aleksandrov, D. | Alessandro, B. | Alexandre, D. | Alfaro Molina, R. | Alici, A. | Alkin, A. | Almaraz, J. R. M. | Alme, J. | Alt, T. | Altinpinar, S. | Altsybeev, I. | Alves Garcia Prado, C. | Andrei, C. | Andronic, A. | Anguelov, V. | Antičić, T. | Antinori, F. | Antonioli, P. | Aphecetche, L. | Appelshäuser, H. | Arcelli, S. | Arnaldi, R. | Arnold, O. W. | Arsene, I. C. | Arslandok, M. | Audurier, B. | Augustinus, A. | Averbeck, R. | Azmi, M. D. | Badalà, A. | Baek, Y. W. | Bagnasco, S. | Bailhache, R. | Bala, R. | Balasubramanian, S. | Baldisseri, A. | Baral, R. C. | Barbano, A. M. | Barbera, R. | Barile, F. | Barnaföldi, G. G. | Barnby, L. S. | Barret, V. | Bartalini, P. | Barth, K. | Bartke, J. | Bartsch, E. | Basile, M. | Bastid, N. | Basu, S. | Bathen, B. | Batigne, G. | Batista Camejo, A. | Batyunya, B. | Batzing, P. C. | Bearden, I. G. | Beck, H. | Bedda, C. | Behera, N. K. | Belikov, I. | Bellini, F. | Bello Martinez, H. | Bellwied, R. | Belmont, R. | Belmont-Moreno, E. | Belyaev, V. | Benacek, P. | Bencedi, G. | Beole, S. | Berceanu, I. | Bercuci, A. | Berdnikov, Y. | Berenyi, D. | Bertens, R. A. | Berzano, D. | Betev, L. | Bhasin, A. | Bhat, I. R. | Bhati, A. K. | Bhattacharjee, B. | Bhom, J. | Bianchi, L. | Bianchi, N. | Bianchin, C. | Bielčík, J. | Bielčíková, J. | Bilandzic, A. | Biro, G. | Biswas, R. | Biswas, S. | Bjelogrlic, S. | Blair, J. T. | Blau, D. | Blume, C. | Bock, F. | Bogdanov, A. | Bøggild, H. | Boldizsár, L. | Bombara, M. | Book, J. | Borel, H. | Borissov, A. | Borri, M. | Bossú, F. | Botta, E. | Bourjau, C. | Braun-Munzinger, P. | Bregant, M. | Breitner, T. | Broker, T. A. | Browning, T. A. | Broz, M. | Brucken, E. J. | Bruna, E. | Bruno, G. E. | Budnikov, D. | Buesching, H. | Bufalino, S. | Buncic, P. | Busch, O. | Buthelezi, Z. | Butt, J. B. | Buxton, J. T. | Caffarri, D. | Cai, X. | Caines, H. | Calero Diaz, L. | Caliva, A. | Calvo Villar, E. | Camerini, P. | Carena, F. | Carena, W. | Carnesecchi, F. | Castillo Castellanos, J. | Castro, A. J. | Casula, E. A. R. | Ceballos Sanchez, C. | Cerello, P. | Cerkala, J. | Chang, B. | Chapeland, S. | Chartier, M. | Charvet, J. L. | Chattopadhyay, S. | Chattopadhyay, S. | Chauvin, A. | Chelnokov, V. | Cherney, M. | Cheshkov, C. | Cheynis, B. | Chibante Barroso, V. | Chinellato, D. D. | Cho, S. | Chochula, P. | Choi, K. | Chojnacki, M. | Choudhury, S. | Christakoglou, P. | Christensen, C. H. | Christiansen, P. | Chujo, T. | Chung, S. U. | Cicalo, C. | Cifarelli, L. | Cindolo, F. | Cleymans, J. | Colamaria, F. | Colella, D. | Collu, A. | Colocci, M. | Conesa Balbastre, G. | Conesa del Valle, Z. | Connors, M. E. | Contreras, J. G. | Cormier, T. M. | Corrales Morales, Y. | Cortés Maldonado, I. | Cortese, P. | Cosentino, M. R. | Costa, F. | Crochet, P. | Cruz Albino, R. | Cuautle, E. | Cunqueiro, L. | Dahms, T. | Dainese, A. | Danisch, M. C. | Danu, A. | Das, D. | Das, I. | Das, S. | Dash, A. | Dash, S. | De, S. | De Caro, A. | de Cataldo, G. | de Conti, C. | de Cuveland, J. | De Falco, A. | De Gruttola, D. | De Marco, N. | De Pasquale, S. | Deisting, A. | Deloff, A. | Dénes, E. | Deplano, C. | Dhankher, P. | Di Bari, D. | Di Mauro, A. | Di Nezza, P. | Diaz Corchero, M. A. | Dietel, T. | Dillenseger, P. | Divià, R. | Djuvsland, Ø. | Dobrin, A. | Domenicis Gimenez, D. | Dönigus, B. | Dordic, O. | Drozhzhova, T. | Dubey, A. K. | Dubla, A. | Ducroux, L. | Dupieux, P. | Ehlers, R. J. | Elia, D. | Endress, E. | Engel, H. | Epple, E. | Erazmus, B. | Erdemir, I. | Erhardt, F. | Espagnon, B. | Estienne, M. | Esumi, S. | Eum, J. | Evans, D. | Evdokimov, S. | Eyyubova, G. | Fabbietti, L. | Fabris, D. | Faivre, J. | Fantoni, A. | Fasel, M. | Feldkamp, L. | Feliciello, A. | Feofilov, G. | Ferencei, J. | Fernández Téllez, A. | Ferreiro, E. G. | Ferretti, A. | Festanti, A. | Feuillard, V. J. G. | Figiel, J. | Figueredo, M. A. S. | Filchagin, S. | Finogeev, D. | Fionda, F. M. | Fiore, E. M. | Fleck, M. G. | Floris, M. | Foertsch, S. | Foka, P. | Fokin, S. | Fragiacomo, E. | Francescon, A. | Frankenfeld, U. | Fronze, G. G. | Fuchs, U. | Furget, C. | Furs, A. | Fusco Girard, M. | Gaardhøje, J. J. | Gagliardi, M. | Gago, A. M. | Gallio, M. | Gangadharan, D. R. | Ganoti, P. | Gao, C. | Garabatos, C. | Garcia-Solis, E. | Gargiulo, C. | Gasik, P. | Gauger, E. F. | Germain, M. | Gheata, A. | Gheata, M. | Ghosh, P. | Ghosh, S. K. | Gianotti, P. | Giubellino, P. | Giubilato, P. | Gladysz-Dziadus, E. | Glässel, P. | Goméz Coral, D. M. | Gomez Ramirez, A. | Gonzalez, V. | González-Zamora, P. | Gorbunov, S. | Görlich, L. | Gotovac, S. | Grabski, V. | Grachov, O. A. | Graczykowski, L. K. | Graham, K. L. | Grelli, A. | Grigoras, A. | Grigoras, C. | Grigoriev, V. | Grigoryan, A. | Grigoryan, S. | Grinyov, B. | Grion, N. | Gronefeld, J. M. | Grosse-Oetringhaus, J. F. | Grossiord, J.-Y. | Grosso, R. | Guber, F. | Guernane, R. | Guerzoni, B. | Gulbrandsen, K. | Gunji, T. | Gupta, A. | Gupta, R. | Haake, R. | Haaland, Ø. | Hadjidakis, C. | Haiduc, M. | Hamagaki, H. | Hamar, G. | Hamon, J. C. | Harris, J. W. | Harton, A. | Hatzifotiadou, D. | Hayashi, S. | Heckel, S. T. | Hellbär, E. | Helstrup, H. | Herghelegiu, A. | Herrera Corral, G. | Hess, B. A. | Hetland, K. F. | Hillemanns, H. | Hippolyte, B. | Horak, D. | Hosokawa, R. | Hristov, P. | Huang, M. | Humanic, T. J. | Hussain, N. | Hussain, T. | Hutter, D. | Hwang, D. S. | Ilkaev, R. | Inaba, M. | Incani, E. | Ippolitov, M. | Irfan, M. | Ivanov, M. | Ivanov, V. | Izucheev, V. | Jacazio, N. | Jacobs, P. M. | Jadhav, M. B. | Jadlovska, S. | Jadlovsky, J. | Jahnke, C. | Jakubowska, M. J. | Jang, H. J. | Janik, M. A. | Jayarathna, P. H. S. Y. | Jena, C. | Jena, S. | Jimenez Bustamante, R. T. | Jones, P. G. | Jusko, A. | Kalinak, P. | Kalweit, A. | Kamin, J. | Kang, J. H. | Kaplin, V. | Kar, S. | Karasu Uysal, A. | Karavichev, O. | Karavicheva, T. | Karayan, L. | Karpechev, E. | Kebschull, U. | Keidel, R. | Keijdener, D. L. D. | Keil, M. | Mohisin Khan, M. | Khan, P. | Khan, S. A. | Khanzadeev, A. | Kharlov, Y. | Kileng, B. | Kim, D. W. | Kim, D. J. | Kim, D. | Kim, H. | Kim, J. S. | Kim, M. | Kim, M. | Kim, S. | Kim, T. | Kirsch, S. | Kisel, I. | Kiselev, S. | Kisiel, A. | Kiss, G. | Klay, J. L. | Klein, C. | Klein, J. | Klein-Bösing, C. | Klewin, S. | Kluge, A. | Knichel, M. L. | Knospe, A. G. | Kobdaj, C. | Kofarago, M. | Kollegger, T. | Kolojvari, A. | Kondratiev, V. | Kondratyeva, N. | Kondratyuk, E. | Konevskikh, A. | Kopcik, M. | Kostarakis, P. | Kour, M. | Kouzinopoulos, C. | Kovalenko, O. | Kovalenko, V. | Kowalski, M. | Koyithatta Meethaleveedu, G. | Králik, I. | Kravčáková, A. | Kretz, M. | Krivda, M. | Krizek, F. | Kryshen, E. | Krzewicki, M. | Kubera, A. M. | Kučera, V. | Kuhn, C. | Kuijer, P. G. | Kumar, A. | Kumar, J. | Kumar, L. | Kumar, S. | Kurashvili, P. | Kurepin, A. | Kurepin, A. B. | Kuryakin, A. | Kweon, M. J. | Kwon, Y. | La Pointe, S. L. | La Rocca, P. | Ladron de Guevara, P. | Lagana Fernandes, C. | Lakomov, I. | Langoy, R. | Lara, C. | Lardeux, A. | Lattuca, A. | Laudi, E. | Lea, R. | Leardini, L. | Lee, G. R. | Lee, S. | Lehas, F. | Lemmon, R. C. | Lenti, V. | Leogrande, E. | León Monzón, I. | León Vargas, H. | Leoncino, M. | Lévai, P. | Li, S. | Li, X. | Lien, J. | Lietava, R. | Lindal, S. | Lindenstruth, V. | Lippmann, C. | Lisa, M. A. | Ljunggren, H. M. | Lodato, D. F. | Loenne, P. I. | Loginov, V. | Loizides, C. | Lopez, X. | López Torres, E. | Lowe, A. | Luettig, P. | Lunardon, M. | Luparello, G. | Lutz, T. H. | Maevskaya, A. | Mager, M. | Mahajan, S. | Mahmood, S. M. | Maire, A. | Majka, R. D. | Malaev, M. | Maldonado Cervantes, I. | Malinina, L. | Mal’Kevich, D. | Malzacher, P. | Mamonov, A. | Manko, V. | Manso, F. | Manzari, V. | Marchisone, M. | Mareš, J. | Margagliotti, G. V. | Margotti, A. | Margutti, J. | Marín, A. | Markert, C. | Marquard, M. | Martin, N. A. | Martin Blanco, J. | Martinengo, P. | Martínez, M. I. | Martínez García, G. | Martinez Pedreira, M. | Mas, A. | Masciocchi, S. | Masera, M. | Masoni, A. | Massacrier, L. | Mastroserio, A. | Matyja, A. | Mayer, C. | Mazer, J. | Mazzoni, M. A. | Mcdonald, D. | Meddi, F. | Melikyan, Y. | Menchaca-Rocha, A. | Meninno, E. | Mercado Pérez, J. | Meres, M. | Miake, Y. | Mieskolainen, M. M. | Mikhaylov, K. | Milano, L. | Milosevic, J. | Minervini, L. M. | Mischke, A. | Mishra, A. N. | Miśkowiec, D. | Mitra, J. | Mitu, C. M. | Mohammadi, N. | Mohanty, B. | Molnar, L. | Montaño Zetina, L. | Montes, E. | Moreira De Godoy, D. A. | Moreno, L. A. P. | Moretto, S. | Morreale, A. | Morsch, A. | Muccifora, V. | Mudnic, E. | Mühlheim, D. | Muhuri, S. | Mukherjee, M. | Mulligan, J. D. | Munhoz, M. G. | Munzer, R. H. | Murakami, H. | Murray, S. | Musa, L. | Musinsky, J. | Naik, B. | Nair, R. | Nandi, B. K. | Nania, R. | Nappi, E. | Naru, M. U. | Natal da Luz, H. | Nattrass, C. | Navarro, S. R. | Nayak, K. | Nayak, R. | Nayak, T. K. | Nazarenko, S. | Nedosekin, A. | Nellen, L. | Ng, F. | Nicassio, M. | Niculescu, M. | Niedziela, J. | Nielsen, B. S. | Nikolaev, S. | Nikulin, S. | Nikulin, V. | Noferini, F. | Nomokonov, P. | Nooren, G. | Noris, J. C. C. | Norman, J. | Nyanin, A. | Nystrand, J. | Oeschler, H. | Oh, S. | Oh, S. K. | Ohlson, A. | Okatan, A. | Okubo, T. | Olah, L. | Oleniacz, J. | Oliveira Da Silva, A. C. | Oliver, M. H. | Onderwaater, J. | Oppedisano, C. | Orava, R. | Ortiz Velasquez, A. | Oskarsson, A. | Otwinowski, J. | Oyama, K. | Ozdemir, M. | Pachmayer, Y. | Pagano, P. | Paić, G. | Pal, S. K. | Pan, J. | Pandey, A. K. | Papikyan, V. | Pappalardo, G. S. | Pareek, P. | Park, W. J. | Parmar, S. | Passfeld, A. | Paticchio, V. | Patra, R. N. | Paul, B. | Pei, H. | Peitzmann, T. | Pereira Da Costa, H. | Peresunko, D. | Pérez Lara, C. E. | Perez Lezama, E. | Peskov, V. | Pestov, Y. | Petráček, V. | Petrov, V. | Petrovici, M. | Petta, C. | Piano, S. | Pikna, M. | Pillot, P. | Pimentel, L. O. D. L. | Pinazza, O. | Pinsky, L. | Piyarathna, D. B. | Płoskoń, M. | Planinic, M. | Pluta, J. | Pochybova, S. | Podesta-Lerma, P. L. M. | Poghosyan, M. G. | Polichtchouk, B. | Poljak, N. | Poonsawat, W. | Pop, A. | Porteboeuf-Houssais, S. | Porter, J. | Pospisil, J. | Prasad, S. K. | Preghenella, R. | Prino, F. | Pruneau, C. A. | Pshenichnov, I. | Puccio, M. | Puddu, G. | Pujahari, P. | Punin, V. | Putschke, J. | Qvigstad, H. | Rachevski, A. | Raha, S. | Rajput, S. | Rak, J. | Rakotozafindrabe, A. | Ramello, L. | Rami, F. | Raniwala, R. | Raniwala, S. | Räsänen, S. S. | Rascanu, B. T. | Rathee, D. | Read, K. F. | Redlich, K. | Reed, R. J. | Rehman, A. | Reichelt, P. | Reidt, F. | Ren, X. | Renfordt, R. | Reolon, A. R. | Reshetin, A. | Revol, J.-P. | Reygers, K. | Riabov, V. | Ricci, R. A. | Richert, T. | Richter, M. | Riedler, P. | Riegler, W. | Riggi, F. | Ristea, C. | Rocco, E. | Rodríguez Cahuantzi, M. | Rodriguez Manso, A. | Røed, K. | Rogochaya, E. | Rohr, D. | Röhrich, D. | Romita, R. | Ronchetti, F. | Ronflette, L. | Rosnet, P. | Rossi, A. | Roukoutakis, F. | Roy, A. | Roy, C. | Roy, P. | Rubio Montero, A. J. | Rui, R. | Russo, R. | Ryabinkin, E. | Ryabov, Y. | Rybicki, A. | Sadovsky, S. | Šafařík, K. | Sahlmuller, B. | Sahoo, P. | Sahoo, R. | Sahoo, S. | Sahu, P. K. | Saini, J. | Sakai, S. | Saleh, M. A. | Salzwedel, J. | Sambyal, S. | Samsonov, V. | Šándor, L. | Sandoval, A. | Sano, M. | Sarkar, D. | Sarma, P. | Scapparone, E. | Scarlassara, F. | Schiaua, C. | Schicker, R. | Schmidt, C. | Schmidt, H. R. | Schuchmann, S. | Schukraft, J. | Schulc, M. | Schuster, T. | Schutz, Y. | Schwarz, K. | Schweda, K. | Scioli, G. | Scomparin, E. | Scott, R. | Šefčík, M. | Seger, J. E. | Sekiguchi, Y. | Sekihata, D. | Selyuzhenkov, I. | Senosi, K. | Senyukov, S. | Serradilla, E. | Sevcenco, A. | Shabanov, A. | Shabetai, A. | Shadura, O. | Shahoyan, R. | Shangaraev, A. | Sharma, A. | Sharma, M. | Sharma, M. | Sharma, N. | Shigaki, K. | Shtejer, K. | Sibiriak, Y. | Siddhanta, S. | Sielewicz, K. M. | Siemiarczuk, T. | Silvermyr, D. | Silvestre, C. | Simatovic, G. | Simonetti, G. | Singaraju, R. | Singh, R. | Singha, S. | Singhal, V. | Sinha, B. C. | Sinha, T. | Sitar, B. | Sitta, M. | Skaali, T. B. | Slupecki, M. | Smirnov, N. | Snellings, R. J. M. | Snellman, T. W. | Søgaard, C. | Song, J. | Song, M. | Song, Z. | Soramel, F. | Sorensen, S. | Souza, R. D. de | Sozzi, F. | Spacek, M. | Spiriti, E. | Sputowska, I. | Spyropoulou-Stassinaki, M. | Stachel, J. | Stan, I. | Stankus, P. | Stefanek, G. | Stenlund, E. | Steyn, G. | Stiller, J. H. | Stocco, D. | Strmen, P. | Suaide, A. A. P. | Sugitate, T. | Suire, C. | Suleymanov, M. | Suljic, M. | Sultanov, R. | Šumbera, M. | Szabo, A. | Szanto de Toledo, A. | Szarka, I. | Szczepankiewicz, A. | Szymanski, M. | Tabassam, U. | Takahashi, J. | Tambave, G. J. | Tanaka, N. | Tangaro, M. A. | Tarhini, M. | Tariq, M. | Tarzila, M. G. | Tauro, A. | Tejeda Muñoz, G. | Telesca, A. | Terasaki, K. | Terrevoli, C. | Teyssier, B. | Thäder, J. | Thomas, D. | Tieulent, R. | Timmins, A. R. | Toia, A. | Trogolo, S. | Trombetta, G. | Trubnikov, V. | Trzaska, W. H. | Tsuji, T. | Tumkin, A. | Turrisi, R. | Tveter, T. S. | Ullaland, K. | Uras, A. | Usai, G. L. | Utrobicic, A. | Vajzer, M. | Vala, M. | Valencia Palomo, L. | Vallero, S. | Van Der Maarel, J. | Van Hoorne, J. W. | van Leeuwen, M. | Vanat, T. | Vande Vyvre, P. | Varga, D. | Vargas, A. | Vargyas, M. | Varma, R. | Vasileiou, M. | Vasiliev, A. | Vauthier, A. | Vechernin, V. | Veen, A. M. | Veldhoen, M. | Velure, A. | Venaruzzo, M. | Vercellin, E. | Vergara Limón, S. | Vernet, R. | Verweij, M. | Vickovic, L. | Viesti, G. | Viinikainen, J. | Vilakazi, Z. | Villalobos Baillie, O. | Villatoro Tello, A. | Vinogradov, A. | Vinogradov, L. | Vinogradov, Y. | Virgili, T. | Vislavicius, V. | Viyogi, Y. P. | Vodopyanov, A. | Völkl, M. A. | Voloshin, K. | Voloshin, S. A. | Volpe, G. | von Haller, B. | Vorobyev, I. | Vranic, D. | Vrláková, J. | Vulpescu, B. | Wagner, B. | Wagner, J. | Wang, H. | Wang, M. | Watanabe, D. | Watanabe, Y. | Weber, M. | Weber, S. G. | Weiser, D. F. | Wessels, J. P. | Westerhoff, U. | Whitehead, A. M. | Wiechula, J. | Wikne, J. | Wilk, G. | Wilkinson, J. | Williams, M. C. S. | Windelband, B. | Winn, M. | Yang, H. | Yang, P. | Yano, S. | Yasar, C. | Yin, Z. | Yokoyama, H. | Yoo, I.-K. | Yoon, J. H. | Yurchenko, V. | Yushmanov, I. | Zaborowska, A. | Zaccolo, V. | Zaman, A. | Zampolli, C. | Zanoli, H. J. C. | Zaporozhets, S. | Zardoshti, N. | Zarochentsev, A. | Závada, P. | Zaviyalov, N. | Zbroszczyk, H. | Zgura, I. S. | Zhalov, M. | Zhang, H. | Zhang, X. | Zhang, Y. | Zhang, C. | Zhang, Z. | Zhao, C. | Zhigareva, N. | Zhou, D. | Zhou, Y. | Zhou, Z. | Zhu, H. | Zhu, J. | Zichichi, A. | Zimmermann, A. | Zimmermann, M. B. | Zinovjev, G. | Zyzak, M.
The production of K\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{*}$$\end{document}∗(892)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{0}$$\end{document}0 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi $$\end{document}ϕ(1020) mesons has been measured in p–Pb collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sqrt{s_{{\text {NN}}}}$$\end{document}sNN\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$=$$\end{document}= 5.02 TeV. K\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^{*0}$$\end{document}∗0 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi $$\end{document}ϕ are reconstructed via their decay into charged hadrons with the ALICE detector in the rapidity range \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$-0.5
doi:10.1140/epjc/s10052-016-4088-7
PMCID: PMC4861205  PMID: 27217821
British Journal of Cancer  2015;112(5):832-840.
Background:
Autophagy allows recycling of cellular components and may facilitate cell survival after chemotherapy. Pantoprazole inhibits proton pumps and is reported to inhibit autophagy. Here we evaluate the effects of pantoprazole to modify cytotoxicity of the anticancer drug docetaxel, and underlying mechanisms.
Methods:
Effects of docetaxel±pantoprazole were studied against wild-type and autophagy-deficient PC3 cells and against four human xenografts. Effects of pantoprazole on autophagy were evaluated by quantifying LC3-I, LC3-II and p62 proteins in western blots, and by fluorescent microscopy of cells transfected with RFP-GFP-LC3. The distribution of drug effects and of autophagy was quantified in tumour sections in relation to blood vessels and hypoxia by immunohistochemistry using γH2AX, cleaved caspase-3, Ki67 and LC3/ p62.
Results:
Pantoprazole increased the toxicity of docetaxel in vitro, increased docetaxel-induced expression of γH2AX and cleaved caspase-3, and decreased Ki67 in tumour sections. Pantoprazole increased growth delay of four human xenografts of low, moderate and high sensitivity to docetaxel, with minimal increase in toxicity. Docetaxel led to increased autophagy throughout tumour sections. Pantoprazole inhibited autophagy, and effects of pantoprazole were reduced against genetically modified cells with decreased ability to undergo autophagy.
Conclusions:
Autophagy is a mechanism of resistance to docetaxel chemotherapy that may be modified by pantoprazole to improve therapeutic index.
doi:10.1038/bjc.2015.17
PMCID: PMC4453951  PMID: 25647012
autophagy; proton pump inhibitor; drug distribution; pharmacodynamic markers; tumour microenvironment
Wang, M | Zhu, X | Sha, Z | Li, N | Li, D | Chen, L
British Journal of Cancer  2015;112(5):874-882.
Background:
MiR-125b has critical role in non-small-cell lung cancer (NSCLC) cell migration, and its target genes have not been elucidated. Kinesin-1 light chain (KLC)-2 was predicted as one of miR-125b's targets by bioinformatics analysis. This study is to identify the function of KLC2 and its interaction with miR-125b in NSCLC.
Methods:
Kinesin-1 light chain-2 protein expression and its clinical relevance were analysed in 140 matched NSCLC and adjacent non-neoplastic lung tissues. Both KLC2 gain- and loss-of-function analyses were performed in NSCLC cell lines by transient transfection. The direct interaction between KLC2 and miR-125b was confirmed by a luciferase reporter assay and a transient co-transfection assay as well as an analysis of eight matched clinical samples.
Results:
KLC2 protein was upregulated in NSCLC cell lines and tissues, and was an independent predictor of poor prognosis for elderly NSCLC patients. Kinesin-1 light chain-2 remarkably enhanced the invasive and migratory ability of NSCLC cells. MiR-125b inhibited KLC2 3′-untranslated region luciferase activity and protein expression, and inversely correlated with KLC2 expression in clinical samples. Kinesin-1 light chain-2 almost completely reversed miR-125b-induced inhibition on migration and invasion.
Conclusions:
Kinesin-1 light chain-2 protein overexpression predicts poor survival in elderly NSCLC patients. Kinesin-1 light chain-2 acts as a proto-oncogene and a functional target of miR-125b in NSCLC cells.
doi:10.1038/bjc.2015.3
PMCID: PMC4453958  PMID: 25668010
kinesin light chain-2; miR-125b; non-small-cell lung cancer; prognosis; migration
Adam, J. | Adamová, D. | Aggarwal, M. M. | Aglieri Rinella, G. | Agnello, M. | Agrawal, N. | Ahammed, Z. | Ahn, S. U. | Aiola, S. | Akindinov, A. | Alam, S. N. | Aleksandrov, D. | Alessandro, B. | Alexandre, D. | Alfaro Molina, R. | Alici, A. | Alkin, A. | Almaraz, J. R. M. | Alme, J. | Alt, T. | Altinpinar, S. | Altsybeev, I. | Alves Garcia Prado, C. | Andrei, C. | Andronic, A. | Anguelov, V. | Anielski, J. | Antičić, T. | Antinori, F. | Antonioli, P. | Aphecetche, L. | Appelshäuser, H. | Arcelli, S. | Arnaldi, R. | Arnold, O. W. | Arsene, I. C. | Arslandok, M. | Audurier, B. | Augustinus, A. | Averbeck, R. | Azmi, M. D. | Badalà, A. | Baek, Y. W. | Bagnasco, S. | Bailhache, R. | Bala, R. | Baldisseri, A. | Baral, R. C. | Barbano, A. M. | Barbera, R. | Barile, F. | Barnaföldi, G. G. | Barnby, L. S. | Barret, V. | Bartalini, P. | Barth, K. | Bartke, J. | Bartsch, E. | Basile, M. | Bastid, N. | Basu, S. | Bathen, B. | Batigne, G. | Batista Camejo, A. | Batyunya, B. | Batzing, P. C. | Bearden, I. G. | Beck, H. | Bedda, C. | Behera, N. K. | Belikov, I. | Bellini, F. | Bello Martinez, H. | Bellwied, R. | Belmont, R. | Belmont-Moreno, E. | Belyaev, V. | Bencedi, G. | Beole, S. | Berceanu, I. | Bercuci, A. | Berdnikov, Y. | Berenyi, D. | Bertens, R. A. | Berzano, D. | Betev, L. | Bhasin, A. | Bhat, I. R. | Bhati, A. K. | Bhattacharjee, B. | Bhom, J. | Bianchi, L. | Bianchi, N. | Bianchin, C. | Bielčík, J. | Bielčíková, J. | Bilandzic, A. | Biswas, R. | Biswas, S. | Bjelogrlic, S. | Blair, J. T. | Blau, D. | Blume, C. | Bock, F. | Bogdanov, A. | Bøggild, H. | Boldizsár, L. | Bombara, M. | Book, J. | Borel, H. | Borissov, A. | Borri, M. | Bossú, F. | Botta, E. | Böttger, S. | Bourjau, C. | Braun-Munzinger, P. | Bregant, M. | Breitner, T. | Broker, T. A. | Browning, T. A. | Broz, M. | Brucken, E. J. | Bruna, E. | Bruno, G. E. | Budnikov, D. | Buesching, H. | Bufalino, S. | Buncic, P. | Busch, O. | Buthelezi, Z. | Butt, J. B. | Buxton, J. T. | Caffarri, D. | Cai, X. | Caines, H. | Calero Diaz, L. | Caliva, A. | Calvo Villar, E. | Camerini, P. | Carena, F. | Carena, W. | Carnesecchi, F. | Castillo Castellanos, J. | Castro, A. J. | Casula, E. A. R. | Ceballos Sanchez, C. | Cepila, J. | Cerello, P. | Cerkala, J. | Chang, B. | Chapeland, S. | Chartier, M. | Charvet, J. L. | Chattopadhyay, S. | Chattopadhyay, S. | Chelnokov, V. | Cherney, M. | Cheshkov, C. | Cheynis, B. | Chibante Barroso, V. | Chinellato, D. D. | Cho, S. | Chochula, P. | Choi, K. | Chojnacki, M. | Choudhury, S. | Christakoglou, P. | Christensen, C. H. | Christiansen, P. | Chujo, T. | Chung, S. U. | Cicalo, C. | Cifarelli, L. | Cindolo, F. | Cleymans, J. | Colamaria, F. | Colella, D. | Collu, A. | Colocci, M. | Conesa Balbastre, G. | Conesa del Valle, Z. | Connors, M. E. | Contreras, J. G. | Cormier, T. M. | Corrales Morales, Y. | Cortés Maldonado, I. | Cortese, P. | Cosentino, M. R. | Costa, F. | Crochet, P. | Cruz Albino, R. | Cuautle, E. | Cunqueiro, L. | Dahms, T. | Dainese, A. | Danu, A. | Das, D. | Das, I. | Das, S. | Dash, A. | Dash, S. | De, S. | De Caro, A. | de Cataldo, G. | de Conti, C. | de Cuveland, J. | De Falco, A. | De Gruttola, D. | De Marco, N. | De Pasquale, S. | Deisting, A. | Deloff, A. | Dénes, E. | Deplano, C. | Dhankher, P. | Di Bari, D. | Di Mauro, A. | Di Nezza, P. | Diaz Corchero, M. A. | Dietel, T. | Dillenseger, P. | Divià, R. | Djuvsland, Ø. | Dobrin, A. | Domenicis Gimenez, D. | Dönigus, B. | Dordic, O. | Drozhzhova, T. | Dubey, A. K. | Dubla, A. | Ducroux, L. | Dupieux, P. | Ehlers, R. J. | Elia, D. | Engel, H. | Epple, E. | Erazmus, B. | Erdemir, I. | Erhardt, F. | Espagnon, B. | Estienne, M. | Esumi, S. | Eum, J. | Evans, D. | Evdokimov, S. | Eyyubova, G. | Fabbietti, L. | Fabris, D. | Faivre, J. | Fantoni, A. | Fasel, M. | Feldkamp, L. | Feliciello, A. | Feofilov, G. | Ferencei, J. | Fernández Téllez, A. | Ferreiro, E. G. | Ferretti, A. | Festanti, A. | Feuillard, V. J. G. | Figiel, J. | Figueredo, M. A. S. | Filchagin, S. | Finogeev, D. | Fionda, F. M. | Fiore, E. M. | Fleck, M. G. | Floris, M. | Foertsch, S. | Foka, P. | Fokin, S. | Fragiacomo, E. | Francescon, A. | Frankenfeld, U. | Fuchs, U. | Furget, C. | Furs, A. | Fusco Girard, M. | Gaardhøje, J. J. | Gagliardi, M. | Gago, A. M. | Gallio, M. | Gangadharan, D. R. | Ganoti, P. | Gao, C. | Garabatos, C. | Garcia-Solis, E. | Gargiulo, C. | Gasik, P. | Gauger, E. F. | Germain, M. | Gheata, A. | Gheata, M. | Ghosh, P. | Ghosh, S. K. | Gianotti, P. | Giubellino, P. | Giubilato, P. | Gladysz-Dziadus, E. | Glässel, P. | Goméz Coral, D. M. | Gomez Ramirez, A. | Gonzalez, V. | González-Zamora, P. | Gorbunov, S. | Görlich, L. | Gotovac, S. | Grabski, V. | Grachov, O. A. | Graczykowski, L. K. | Graham, K. L. | Grelli, A. | Grigoras, A. | Grigoras, C. | Grigoriev, V. | Grigoryan, A. | Grigoryan, S. | Grinyov, B. | Grion, N. | Gronefeld, J. M. | Grosse-Oetringhaus, J. F. | Grossiord, J.-Y. | Grosso, R. | Guber, F. | Guernane, R. | Guerzoni, B. | Gulbrandsen, K. | Gunji, T. | Gupta, A. | Gupta, R. | Haake, R. | Haaland, Ø. | Hadjidakis, C. | Haiduc, M. | Hamagaki, H. | Hamar, G. | Harris, J. W. | Harton, A. | Hatzifotiadou, D. | Hayashi, S. | Heckel, S. T. | Heide, M. | Helstrup, H. | Herghelegiu, A. | Herrera Corral, G. | Hess, B. A. | Hetland, K. F. | Hillemanns, H. | Hippolyte, B. | Hosokawa, R. | Hristov, P. | Huang, M. | Humanic, T. J. | Hussain, N. | Hussain, T. | Hutter, D. | Hwang, D. S. | Ilkaev, R. | Inaba, M. | Ippolitov, M. | Irfan, M. | Ivanov, M. | Ivanov, V. | Izucheev, V. | Jacobs, P. M. | Jadhav, M. B. | Jadlovska, S. | Jadlovsky, J. | Jahnke, C. | Jakubowska, M. J. | Jang, H. J. | Janik, M. A. | Jayarathna, P. H. S. Y. | Jena, C. | Jena, S. | Jimenez Bustamante, R. T. | Jones, P. G. | Jung, H. | Jusko, A. | Kalinak, P. | Kalweit, A. | Kamin, J. | Kang, J. H. | Kaplin, V. | Kar, S. | Karasu Uysal, A. | Karavichev, O. | Karavicheva, T. | Karayan, L. | Karpechev, E. | Kebschull, U. | Keidel, R. | Keijdener, D. L. D. | Keil, M. | Mohisin Khan, M. | Khan, P. | Khan, S. A. | Khanzadeev, A. | Kharlov, Y. | Kileng, B. | Kim, D. W. | Kim, D. J. | Kim, D. | Kim, H. | Kim, J. S. | Kim, M. | Kim, M. | Kim, S. | Kim, T. | Kirsch, S. | Kisel, I. | Kiselev, S. | Kisiel, A. | Kiss, G. | Klay, J. L. | Klein, C. | Klein, J. | Klein-Bösing, C. | Klewin, S. | Kluge, A. | Knichel, M. L. | Knospe, A. G. | Kobayashi, T. | Kobdaj, C. | Kofarago, M. | Kollegger, T. | Kolojvari, A. | Kondratiev, V. | Kondratyeva, N. | Kondratyuk, E. | Konevskikh, A. | Kopcik, M. | Kour, M. | Kouzinopoulos, C. | Kovalenko, O. | Kovalenko, V. | Kowalski, M. | Koyithatta Meethaleveedu, G. | Králik, I. | Kravčáková, A. | Kretz, M. | Krivda, M. | Krizek, F. | Kryshen, E. | Krzewicki, M. | Kubera, A. M. | Kučera, V. | Kuhn, C. | Kuijer, P. G. | Kumar, A. | Kumar, J. | Kumar, L. | Kumar, S. | Kurashvili, P. | Kurepin, A. | Kurepin, A. B. | Kuryakin, A. | Kweon, M. J. | Kwon, Y. | La Pointe, S. L. | La Rocca, P. | Ladron de Guevara, P. | Lagana Fernandes, C. | Lakomov, I. | Langoy, R. | Lara, C. | Lardeux, A. | Lattuca, A. | Laudi, E. | Lea, R. | Leardini, L. | Lee, G. R. | Lee, S. | Lehas, F. | Lemmon, R. C. | Lenti, V. | Leogrande, E. | León Monzón, I. | León Vargas, H. | Leoncino, M. | Lévai, P. | Li, S. | Li, X. | Lien, J. | Lietava, R. | Lindal, S. | Lindenstruth, V. | Lippmann, C. | Lisa, M. A. | Ljunggren, H. M. | Lodato, D. F. | Loenne, P. I. | Loginov, V. | Loizides, C. | Lopez, X. | López Torres, E. | Lowe, A. | Luettig, P. | Lunardon, M. | Luparello, G. | Maevskaya, A. | Mager, M. | Mahajan, S. | Mahmood, S. M. | Maire, A. | Majka, R. D. | Malaev, M. | Maldonado Cervantes, I. | Malinina, L. | Mal’Kevich, D. | Malzacher, P. | Mamonov, A. | Manko, V. | Manso, F. | Manzari, V. | Marchisone, M. | Mareš, J. | Margagliotti, G. V. | Margotti, A. | Margutti, J. | Marín, A. | Markert, C. | Marquard, M. | Martin, N. A. | Martin Blanco, J. | Martinengo, P. | Martínez, M. I. | Martínez García, G. | Martinez Pedreira, M. | Mas, A. | Masciocchi, S. | Masera, M. | Masoni, A. | Massacrier, L. | Mastroserio, A. | Matyja, A. | Mayer, C. | Mazer, J. | Mazzoni, M. A. | Mcdonald, D. | Meddi, F. | Melikyan, Y. | Menchaca-Rocha, A. | Meninno, E. | Mercado Pérez, J. | Meres, M. | Miake, Y. | Mieskolainen, M. M. | Mikhaylov, K. | Milano, L. | Milosevic, J. | Minervini, L. M. | Mischke, A. | Mishra, A. N. | Miśkowiec, D. | Mitra, J. | Mitu, C. M. | Mohammadi, N. | Mohanty, B. | Molnar, L. | Montaño Zetina, L. | Montes, E. | Moreira De Godoy, D. A. | Moreno, L. A. P. | Moretto, S. | Morreale, A. | Morsch, A. | Muccifora, V. | Mudnic, E. | Mühlheim, D. | Muhuri, S. | Mukherjee, M. | Mulligan, J. D. | Munhoz, M. G. | Munzer, R. H. | Murray, S. | Musa, L. | Musinsky, J. | Naik, B. | Nair, R. | Nandi, B. K. | Nania, R. | Nappi, E. | Naru, M. U. | Natal da Luz, H. | Nattrass, C. | Nayak, K. | Nayak, T. K. | Nazarenko, S. | Nedosekin, A. | Nellen, L. | Ng, F. | Nicassio, M. | Niculescu, M. | Niedziela, J. | Nielsen, B. S. | Nikolaev, S. | Nikulin, S. | Nikulin, V. | Noferini, F. | Nomokonov, P. | Nooren, G. | Noris, J. C. C. | Norman, J. | Nyanin, A. | Nystrand, J. | Oeschler, H. | Oh, S. | Oh, S. K. | Ohlson, A. | Okatan, A. | Okubo, T. | Olah, L. | Oleniacz, J. | Oliveira Da Silva, A. C. | Oliver, M. H. | Onderwaater, J. | Oppedisano, C. | Orava, R. | Ortiz Velasquez, A. | Oskarsson, A. | Otwinowski, J. | Oyama, K. | Ozdemir, M. | Pachmayer, Y. | Pagano, P. | Paić, G. | Pal, S. K. | Pan, J. | Pandey, A. K. | Papcun, P. | Papikyan, V. | Pappalardo, G. S. | Pareek, P. | Park, W. J. | Parmar, S. | Passfeld, A. | Paticchio, V. | Patra, R. N. | Paul, B. | Peitzmann, T. | Pereira Da Costa, H. | Pereira De Oliveira Filho, E. | Peresunko, D. | Pérez Lara, C. E. | Perez Lezama, E. | Peskov, V. | Pestov, Y. | Petráček, V. | Petrov, V. | Petrovici, M. | Petta, C. | Piano, S. | Pikna, M. | Pillot, P. | Pinazza, O. | Pinsky, L. | Piyarathna, D. B. | Płoskoń, M. | Planinic, M. | Pluta, J. | Pochybova, S. | Podesta-Lerma, P. L. M. | Poghosyan, M. G. | Polichtchouk, B. | Poljak, N. | Poonsawat, W. | Pop, A. | Porteboeuf-Houssais, S. | Porter, J. | Pospisil, J. | Prasad, S. K. | Preghenella, R. | Prino, F. | Pruneau, C. A. | Pshenichnov, I. | Puccio, M. | Puddu, G. | Pujahari, P. | Punin, V. | Putschke, J. | Qvigstad, H. | Rachevski, A. | Raha, S. | Rajput, S. | Rak, J. | Rakotozafindrabe, A. | Ramello, L. | Rami, F. | Raniwala, R. | Raniwala, S. | Räsänen, S. S. | Rascanu, B. T. | Rathee, D. | Read, K. F. | Redlich, K. | Reed, R. J. | Rehman, A. | Reichelt, P. | Reidt, F. | Ren, X. | Renfordt, R. | Reolon, A. R. | Reshetin, A. | Revol, J.-P. | Reygers, K. | Riabov, V. | Ricci, R. A. | Richert, T. | Richter, M. | Riedler, P. | Riegler, W. | Riggi, F. | Ristea, C. | Rocco, E. | Rodríguez Cahuantzi, M. | Rodriguez Manso, A. | Røed, K. | Rogochaya, E. | Rohr, D. | Röhrich, D. | Romita, R. | Ronchetti, F. | Ronflette, L. | Rosnet, P. | Rossi, A. | Roukoutakis, F. | Roy, A. | Roy, C. | Roy, P. | Rubio Montero, A. J. | Rui, R. | Russo, R. | Ryabinkin, E. | Ryabov, Y. | Rybicki, A. | Sadovsky, S. | Šafařík, K. | Sahlmuller, B. | Sahoo, P. | Sahoo, R. | Sahoo, S. | Sahu, P. K. | Saini, J. | Sakai, S. | Saleh, M. A. | Salzwedel, J. | Sambyal, S. | Samsonov, V. | Šándor, L. | Sandoval, A. | Sano, M. | Sarkar, D. | Scapparone, E. | Scarlassara, F. | Schiaua, C. | Schicker, R. | Schmidt, C. | Schmidt, H. R. | Schuchmann, S. | Schukraft, J. | Schulc, M. | Schuster, T. | Schutz, Y. | Schwarz, K. | Schweda, K. | Scioli, G. | Scomparin, E. | Scott, R. | Šefčík, M. | Seger, J. E. | Sekiguchi, Y. | Sekihata, D. | Selyuzhenkov, I. | Senosi, K. | Senyukov, S. | Serradilla, E. | Sevcenco, A. | Shabanov, A. | Shabetai, A. | Shadura, O. | Shahoyan, R. | Shangaraev, A. | Sharma, A. | Sharma, M. | Sharma, M. | Sharma, N. | Shigaki, K. | Shtejer, K. | Sibiriak, Y. | Siddhanta, S. | Sielewicz, K. M. | Siemiarczuk, T. | Silvermyr, D. | Silvestre, C. | Simatovic, G. | Simonetti, G. | Singaraju, R. | Singh, R. | Singha, S. | Singhal, V. | Sinha, B. C. | Sinha, T. | Sitar, B. | Sitta, M. | Skaali, T. B. | Slupecki, M. | Smirnov, N. | Snellings, R. J. M. | Snellman, T. W. | Søgaard, C. | Song, J. | Song, M. | Song, Z. | Soramel, F. | Sorensen, S. | Sozzi, F. | Spacek, M. | Spiriti, E. | Sputowska, I. | Spyropoulou-Stassinaki, M. | Stachel, J. | Stan, I. | Stefanek, G. | Stenlund, E. | Steyn, G. | Stiller, J. H. | Stocco, D. | Strmen, P. | Suaide, A. A. P. | Sugitate, T. | Suire, C. | Suleymanov, M. | Suljic, M. | Sultanov, R. | Šumbera, M. | Szabo, A. | Szanto de Toledo, A. | Szarka, I. | Szczepankiewicz, A. | Szymanski, M. | Tabassam, U. | Takahashi, J. | Tambave, G. J. | Tanaka, N. | Tangaro, M. A. | Tarhini, M. | Tariq, M. | Tarzila, M. G. | Tauro, A. | Tejeda Muñoz, G. | Telesca, A. | Terasaki, K. | Terrevoli, C. | Teyssier, B. | Thäder, J. | Thomas, D. | Tieulent, R. | Timmins, A. R. | Toia, A. | Trogolo, S. | Trombetta, G. | Trubnikov, V. | Trzaska, W. H. | Tsuji, T. | Tumkin, A. | Turrisi, R. | Tveter, T. S. | Ullaland, K. | Uras, A. | Usai, G. L. | Utrobicic, A. | Vajzer, M. | Vala, M. | Valencia Palomo, L. | Vallero, S. | Van Der Maarel, J. | Van Hoorne, J. W. | van Leeuwen, M. | Vanat, T. | Vande Vyvre, P. | Varga, D. | Vargas, A. | Vargyas, M. | Varma, R. | Vasileiou, M. | Vasiliev, A. | Vauthier, A. | Vechernin, V. | Veen, A. M. | Veldhoen, M. | Velure, A. | Venaruzzo, M. | Vercellin, E. | Vergara Limón, S. | Vernet, R. | Verweij, M. | Vickovic, L. | Viesti, G. | Viinikainen, J. | Vilakazi, Z. | Villalobos Baillie, O. | Villatoro Tello, A. | Vinogradov, A. | Vinogradov, L. | Vinogradov, Y. | Virgili, T. | Vislavicius, V. | Viyogi, Y. P. | Vodopyanov, A. | Völkl, M. A. | Voloshin, K. | Voloshin, S. A. | Volpe, G. | von Haller, B. | Vorobyev, I. | Vranic, D. | Vrláková, J. | Vulpescu, B. | Vyushin, A. | Wagner, B. | Wagner, J. | Wang, H. | Wang, M. | Watanabe, D. | Watanabe, Y. | Weber, M. | Weber, S. G. | Weiser, D. F. | Wessels, J. P. | Westerhoff, U. | Whitehead, A. M. | Wiechula, J. | Wikne, J. | Wilde, M. | Wilk, G. | Wilkinson, J. | Williams, M. C. S. | Windelband, B. | Winn, M. | Yaldo, C. G. | Yang, H. | Yang, P. | Yano, S. | Yasar, C. | Yin, Z. | Yokoyama, H. | Yoo, I.-K. | Yoon, J. H. | Yurchenko, V. | Yushmanov, I. | Zaborowska, A. | Zaccolo, V. | Zaman, A. | Zampolli, C. | Zanoli, H. J. C. | Zaporozhets, S. | Zardoshti, N. | Zarochentsev, A. | Závada, P. | Zaviyalov, N. | Zbroszczyk, H. | Zgura, I. S. | Zhalov, M. | Zhang, H. | Zhang, X. | Zhang, Y. | Zhang, C. | Zhang, Z. | Zhao, C. | Zhigareva, N. | Zhou, D. | Zhou, Y. | Zhou, Z. | Zhu, H. | Zhu, J. | Zichichi, A. | Zimmermann, A. | Zimmermann, M. B. | Zinovjev, G. | Zyzak, M.
We report on two-particle charge-dependent correlations in pp, p–Pb, and Pb–Pb collisions as a function of the pseudorapidity and azimuthal angle difference, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta \eta $$\end{document}Δη and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Delta \varphi $$\end{document}Δφ respectively. These correlations are studied using the balance function that probes the charge creation time and the development of collectivity in the produced system. The dependence of the balance function on the event multiplicity as well as on the trigger and associated particle transverse momentum (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_{{\mathrm {T}}}$$\end{document}pT) in pp, p–Pb, and Pb–Pb collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sqrt{s_{\mathrm {NN}}}=$$\end{document}sNN= 7, 5.02, and 2.76 TeV, respectively, are presented. In the low transverse momentum region, for \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0.2 < p_{{\mathrm {T}}} < 2.0$$\end{document}0.2
doi:10.1140/epjc/s10052-016-3915-1
PMCID: PMC4811057  PMID: 27069415
Blood Cancer Journal  2016;6(2):e396-.
The safety and efficacy of siltuximab (CNTO 328) was tested in combination with lenalidomide, bortezomib and dexamethasone (RVD) in patients with newly-diagnosed, previously untreated symptomatic multiple myeloma. Fourteen patients were enrolled in the study, eleven of whom qualified to receive therapy. A majority of patients (81.8%) completed the minimal number or more of the four required cycles, while two patients completed only three cycles. The maximum tolerated dose (MTD) of siltuximab with RVD was dose level −1 (siltuximab: 8.3 mg/kg; bortezomib: 1.3 mg/m2; lenalidomide: 25 mg; dexamethasone: 20 mg). Serious adverse events were grade 3 pneumonia and grade 4 thrombocytopenia, and no deaths occurred during the study or with follow-up (median follow-up 28.1 months). An overall response rate, after 3–4 cycles of therapy, of 90.9% (95% confidence interval (CI): 58.7%, 99.8%) (9.1% complete response (95% CI: 0.2%, 41.3%), 45.5% very good partial response (95% CI: 16.7%, 76.6%) and 36.4% partial response (95% CI: 10.9%, 69.2%)) was seen. Two patients withdrew consent, and nine patients (81.8%) opted for autologous stem cell transplantation.
doi:10.1038/bcj.2016.4
PMCID: PMC4771967  PMID: 26871714
SUMMARY
Objective
To determine whether mandibular condylar cartilage degradation induced by experimentally abnormal occlusion could be ameliorated via systemic administration of strontium or NBD peptide.
Methods
Six-week-old female C57BL/6J mice were used. From the seventh day after mock operation or unilateral anterior crossbite (UAC) treatment, the control and UAC mice were further respectively pharmacologically treated for 2 weeks or 4 weeks of saline (CON + Saline and UAC + Saline groups), SrCl2 (CON + SrCl2 and UAC + SrCl2 groups) or NBD peptide (CON + NBD peptide and UAC + NBD peptide groups). Changes in condylar cartilage and subchondral bone were assessed 21 and 35 days after mock operation or UAC procedure by histology and micro-CT. Real-time PCR and/or immunohistochemistry (IHC) were performed to evaluate changes in expression levels of col2a1, aggrecan, ADAMTS-5, tnf-α, il-1β, nfkbia, nuclear factor-kappaB phospho-p65 in condylar cartilage, and rankl/rank/opg in both condylar cartilage and subchondral bone.
Results
Cartilage degradation with decreased col2a1 and aggrecan expression, and increased ADAMTS-5, tnf-α/il1-β, nfkbia and NF-κB phospho-p65 was observed in UAC + Saline groups. Subchondral bone loss with increased osteoclast numbers and decreased opg/rankl ratio was found in UAC + Saline groups compared to age-match CON + Saline groups. Cartilage degradation and subchondral bone loss were reversed by treatment of SrCl2 or NBD peptide while the same dosage in control mice induced few changes in condylar cartilage and subchondral bone.
Conclusions
The results demonstrate reverse effect of systemic administration of strontium or NBD peptide on UAC-induced condylar cartilage degradation and subchondral bone loss.
doi:10.1016/j.joca.2015.07.022
PMCID: PMC4695290  PMID: 26256766
Temporomandibular joint; Dental occlusion; NBD (NEMO-binding domain) peptide; Strontium; Osteoarthritis; Cartilage; Subchondral bone
Scientific Reports  2015;5:18226.
Reactivity and mass loss are considered mutually exclusive in conventional zero-valent metal (ZVM) technology to treat environmental contaminants. Here, we report the outstanding performance of Co-based metallic glass (MG) in degrading an aqueous solution of azo dye, thus eliminating this trade-off. Ball-milled Co-based MG powders completely degrade Acid Orange II at an ultrafast rate. The surface-area-normalized rate constant of Co-based MG powders was one order of magnitude higher than that of Co-based crystalline counterparts and three orders of magnitude higher than that of the widely studied Fe0 powders. The coordinatively unsaturated local structure in Co-based MG responds to the catalysis for degradation, resulting in very low mass loss. Wide applicability and good reusability were also present. Co-based MG is the most efficient material for azo dye degradation reported thus far, and will promote the practical application of MGs as functional materials.
doi:10.1038/srep18226
PMCID: PMC4677396  PMID: 26656918
We investigated the phylogenetic diversity of 144 Colletotrichum isolates associated with symptomatic and asymptomatic tissues of Camellia sinensis and other Camellia spp. from seven provinces in China (Fujian, Guizhou, Henan, Jiangxi, Sichuan, Yunnan, Zhejiang), and seven isolates obtained from other countries, including Indonesia, UK, and the USA. Based on multi-locus (ACT, ApMat, CAL, GAPDH, GS, ITS, TUB2) phylogenetic analyses and phenotypic characters, 11 species were distinguished, including nine well-characterised species (C. alienum, C. boninense, C. camelliae, C. cliviae, C. fioriniae, C. fructicola, C. gloeosporioides, C. karstii, C. sia-mense), and two novel species (C. henanense and C. jiangxiense). Of these, C. camelliae proved to be the most dominant and probably host specific taxon occurring on Camellia. An epitype is also designated for the latter species in this study. Colletotrichum jiangxiense is shown to be phylogenetically closely related to the coffee berry pathogen C. kahawae subsp. kahawae. Pathogenicity tests and the pairwise homoplasy index test suggest that C. jiangxiense and C. kahawae subsp. kahawae are two independent species. This study represents the first report of C. alienum and C. cliviae occurring on Camellia sinensis. In addition, our study demonstrated that the combined use of the loci ApMat and GS in a phylogenetic analysis is able to resolve all currently accepted species in the C. gloeosporioides species complex.
doi:10.3767/003158515X687597
PMCID: PMC4713112  PMID: 26823629
Camellia; Colletotrichum; morphology; phylogeny; tea plants
Ma, Y | Wang, M | Yuan, W | Su, K | Li, M D
Translational Psychiatry  2015;5(12):e686-.
Although a number of studies have analyzed the relation between the DRD2/ANKK1 gene Taq1A polymorphism and smoking cessation, the results remain controversial. The primary objective of the present study was to determine whether this variant indeed has any effect on smoking cessation. The A1-dominant model that considers A1/* (*=A1 or A2) and A2/A2 as two genotypes and compares their frequencies in current and former smokers was applied. A total of 22 studies with 11 075 subjects were included in the meta-analyses. Considering the potential influence of between-study heterogeneity, we conducted stratified meta-analyses with the Comprehensive Meta-Analysis statistical software (version 2.0). Results based on either cross-sectional or longitudinal studies consistently showed a statistically significant association between Taq1A A1/* genotypes and smoking cessation. Further, a more significant association of the variant with smoking cessation was detected when both types of studies were combined. However, there was marginal evidence of heterogeneity among studies (I2=33.9% P=0.06). By excluding other ethnicities and subjects with cancer, the meta-analysis on the basis of 9487 Caucasians demonstrated that Taq1A A1/* genotypes indeed were significantly associated with smoking cessation under both the fixed- and random-effects models (pooled OR 1.22; 95% CI 1.11–1.34; P=3.9 × 10−5 for both models). No evidence of between-study heterogeneity or publication bias was observed. Thus, we conclude that the polymorphism of Taq1A has an important role in the process of abstaining from smoking, and smokers carrying A2/A2 genotype have a higher likelihood of smoking cessation than those who carry A1/A1 or A1/A2.
doi:10.1038/tp.2015.176
PMCID: PMC5068580  PMID: 26624925
Scientific Reports  2015;5:17086.
Magnetization measurements have been carried out on a series of carefully prepared single-phase Mn1 + xGa (0 < x < 1) alloys. The saturation magnetization Ms, measured at 5 K, has a value of 92.0 emu/g for x = 0.15. This is the highest value reported in these alloys and is close to the calculated value of 116 emu/g for the stoichiometric compound (x = 0). Ms decreases gradually with x and has a value of 60.7 emu/g for x = 0.86. This behavior is consistent with the extra Mn atoms occupying Ga sites and coupling antiferromagnetically with the rest of the Mn atoms. The intrinsic magnetic properties of the Mn-Ga alloys indicate their great potential as novel, rare-earth free permanent magnetic materials.
doi:10.1038/srep17086
PMCID: PMC4657014  PMID: 26597458

Results 1-25 (230)