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author:("Zhou, fleming")
1.  An Agent-Based Model of the Response to Angioplasty and Bare-Metal Stent Deployment in an Atherosclerotic Blood Vessel 
PLoS ONE  2014;9(4):e94411.
Purpose
While animal models are widely used to investigate the development of restenosis in blood vessels following an intervention, computational models offer another means for investigating this phenomenon. A computational model of the response of a treated vessel would allow investigators to assess the effects of altering certain vessel- and stent-related variables. The authors aimed to develop a novel computational model of restenosis development following an angioplasty and bare-metal stent implantation in an atherosclerotic vessel using agent-based modeling techniques. The presented model is intended to demonstrate the body’s response to the intervention and to explore how different vessel geometries or stent arrangements may affect restenosis development.
Methods
The model was created on a two-dimensional grid space. It utilizes the post-procedural vessel lumen diameter and stent information as its input parameters. The simulation starting point of the model is an atherosclerotic vessel after an angioplasty and stent implantation procedure. The model subsequently generates the final lumen diameter, percent change in lumen cross-sectional area, time to lumen diameter stabilization, and local concentrations of inflammatory cytokines upon simulation completion. Simulation results were directly compared with the results from serial imaging studies and cytokine levels studies in atherosclerotic patients from the relevant literature.
Results
The final lumen diameter results were all within one standard deviation of the mean lumen diameters reported in the comparison studies. The overlapping-stent simulations yielded results that matched published trends. The cytokine levels remained within the range of physiological levels throughout the simulations.
Conclusion
We developed a novel computational model that successfully simulated the development of restenosis in a blood vessel following an angioplasty and bare-metal stent deployment based on the characteristics of the vessel cross-section and stent. A further development of this model could ultimately be used as a predictive tool to depict patient outcomes and inform treatment options.
doi:10.1371/journal.pone.0094411
PMCID: PMC3986389  PMID: 24732072
2.  Personal Genomic Information Management and Personalized Medicine: Challenges, Current Solutions, and Roles of HIM Professionals 
In recent years, the term personalized medicine has received more and more attention in the field of healthcare. The increasing use of this term is closely related to the astonishing advancement in DNA sequencing technologies and other high-throughput biotechnologies. A large amount of personal genomic data can be generated by these technologies in a short time. Consequently, the needs for managing, analyzing, and interpreting these personal genomic data to facilitate personalized care are escalated. In this article, we discuss the challenges for implementing genomics-based personalized medicine in healthcare, current solutions to these challenges, and the roles of health information management (HIM) professionals in genomics-based personalized medicine.
PMCID: PMC3995490  PMID: 24808804
3.  A Course-Based Research Experience: How Benefits Change with Increased Investment in Instructional Time 
Shaffer, Christopher D. | Alvarez, Consuelo J. | Bednarski, April E. | Dunbar, David | Goodman, Anya L. | Reinke, Catherine | Rosenwald, Anne G. | Wolyniak, Michael J. | Bailey, Cheryl | Barnard, Daron | Bazinet, Christopher | Beach, Dale L. | Bedard, James E. J. | Bhalla, Satish | Braverman, John | Burg, Martin | Chandrasekaran, Vidya | Chung, Hui-Min | Clase, Kari | DeJong, Randall J. | DiAngelo, Justin R. | Du, Chunguang | Eckdahl, Todd T. | Eisler, Heather | Emerson, Julia A. | Frary, Amy | Frohlich, Donald | Gosser, Yuying | Govind, Shubha | Haberman, Adam | Hark, Amy T. | Hauser, Charles | Hoogewerf, Arlene | Hoopes, Laura L. M. | Howell, Carina E. | Johnson, Diana | Jones, Christopher J. | Kadlec, Lisa | Kaehler, Marian | Silver Key, S. Catherine | Kleinschmit, Adam | Kokan, Nighat P. | Kopp, Olga | Kuleck, Gary | Leatherman, Judith | Lopilato, Jane | MacKinnon, Christy | Martinez-Cruzado, Juan Carlos | McNeil, Gerard | Mel, Stephanie | Mistry, Hemlata | Nagengast, Alexis | Overvoorde, Paul | Paetkau, Don W. | Parrish, Susan | Peterson, Celeste N. | Preuss, Mary | Reed, Laura K. | Revie, Dennis | Robic, Srebrenka | Roecklein-Canfield, Jennifer | Rubin, Michael R. | Saville, Kenneth | Schroeder, Stephanie | Sharif, Karim | Shaw, Mary | Skuse, Gary | Smith, Christopher D. | Smith, Mary A. | Smith, Sheryl T. | Spana, Eric | Spratt, Mary | Sreenivasan, Aparna | Stamm, Joyce | Szauter, Paul | Thompson, Jeffrey S. | Wawersik, Matthew | Youngblom, James | Zhou, Leming | Mardis, Elaine R. | Buhler, Jeremy | Leung, Wilson | Lopatto, David | Elgin, Sarah C. R.
CBE Life Sciences Education  2014;13(1):111-130.
While course-based research in genomics can generate both knowledge gains and a greater appreciation for how science is done, a significant investment of course time is required to enable students to show gains commensurate to a summer research experience. Nonetheless, this is a very cost-effective way to reach larger numbers of students.
There is widespread agreement that science, technology, engineering, and mathematics programs should provide undergraduates with research experience. Practical issues and limited resources, however, make this a challenge. We have developed a bioinformatics project that provides a course-based research experience for students at a diverse group of schools and offers the opportunity to tailor this experience to local curriculum and institution-specific student needs. We assessed both attitude and knowledge gains, looking for insights into how students respond given this wide range of curricular and institutional variables. While different approaches all appear to result in learning gains, we find that a significant investment of course time is required to enable students to show gains commensurate to a summer research experience. An alumni survey revealed that time spent on a research project is also a significant factor in the value former students assign to the experience one or more years later. We conclude: 1) implementation of a bioinformatics project within the biology curriculum provides a mechanism for successfully engaging large numbers of students in undergraduate research; 2) benefits to students are achievable at a wide variety of academic institutions; and 3) successful implementation of course-based research experiences requires significant investment of instructional time for students to gain full benefit.
doi:10.1187/cbe-13-08-0152
PMCID: PMC3940452  PMID: 24591510
4.  SPARK: A Framework for Multi-Scale Agent-Based Biomedical Modeling 
International journal of agent technologies and systems  2010;2(3):10.4018/jats.2010070102.
Multi-scale modeling of complex biological systems remains a central challenge in the systems biology community. A method of dynamic knowledge representation known as agent-based modeling enables the study of higher level behavior emerging from discrete events performed by individual components. With the advancement of computer technology, agent-based modeling has emerged as an innovative technique to model the complexities of systems biology. In this work, the authors describe SPARK (Simple Platform for Agent-based Representation of Knowledge), a framework for agent-based modeling specifically designed for systems-level biomedical model development. SPARK is a stand-alone application written in Java. It provides a user-friendly interface, and a simple programming language for developing Agent-Based Models (ABMs). SPARK has the following features specialized for modeling biomedical systems: 1) continuous space that can simulate real physical space; 2) flexible agent size and shape that can represent the relative proportions of various cell types; 3) multiple spaces that can concurrently simulate and visualize multiple scales in biomedical models; 4) a convenient graphical user interface. Existing ABMs of diabetic foot ulcers and acute inflammation were implemented in SPARK. Models of identical complexity were run in both NetLogo and SPARK; the SPARK-based models ran two to three times faster.
doi:10.4018/jats.2010070102
PMCID: PMC3806198  PMID: 24163721
Agent-Based; Computer Simulation; Framework; Models; SPARK
5.  Flexible Approaches for Teaching Computational Genomics in a Health Information Management Program 
The astonishing improvement of high-throughput biotechnologies in recent years makes it possible to access a huge amount of genomic data. The association between genomic data and genetic disease has already been and will continue to be applied to personalized healthcare. Health information management (HIM) professionals are the ones who will handle personal genetic information and provide solid evidence to support physicians’ diagnoses and personalized treatment strategies, and therefore they will need to have the knowledge and skills to process genomic data. In this paper, we describe flexible approaches for teaching a computational genomics course in the HIM program at the University of Pittsburgh. HIM programs at other universities may choose an appropriate approach to fit into their own curriculum.
PMCID: PMC3709875  PMID: 23861672
education; genomics; flexibility
6.  Identifying the mechanisms of intron gain: progress and trends 
Biology Direct  2012;7:29.
Abstract
Continued improvements in Next-Generation DNA/RNA sequencing coupled with advances in gene annotation have provided researchers access to a plethora of annotated genomes. Subsequent analyses of orthologous gene structures have identified numerous intron gain and loss events that have occurred both recently and in the very distant past. This research has afforded exceptional insight into the temporal and lineage-specific rates of intron gain and loss among various species throughout evolution. Numerous studies have also attempted to identify the molecular mechanisms of intron gain and loss. However, even after considerable effort, very little is known about these processes. In particular, the mechanism(s) of intron gain have proven exceptionally enigmatic and remain topics of considerable debate. Currently, there exists no definitive consensus as to what mechanism(s) may generate introns. Because many introns are known to affect gene expression, it is necessary to understand the molecular process(es) by which introns may be gained. Here we review the seven most commonly purported mechanisms of intron gain and, when possible, summarize molecular evidence for or against the occurrence of each of these mechanisms. Furthermore, we catalogue indirect evidence that supports the occurrence of each mechanism. Finally, because these proposed mechanisms fail to explain the mechanistic origin of many recently gained introns, we also look at trends that may aid researchers in identifying other potential mechanism(s) of intron gain.
Reviewers
This article was reviewed by Eugene Koonin, Scott Roy (nominated by W. Ford Doolittle), and John Logsdon.
doi:10.1186/1745-6150-7-29
PMCID: PMC3443670  PMID: 22963364
Intron; Intron gain; Intron evolution; Gene structure; Evolution; Mechanism
7.  Mechanisms of intron gain and loss in Drosophila 
Background
It is widely accepted that orthologous genes have lost or gained introns throughout evolution. However, the specific mechanisms that generate these changes have proved elusive. Introns are known to affect nearly every level of gene expression. Therefore, understanding their mechanism of evolution after their initial fixation in eukaryotes is pertinent to understanding the means by which organisms develop greater regulation and complexity.
Results
To investigate possible mechanisms of intron gain and loss, we identified 189 intron gain and 297 intron loss events among 11 Drosophila species. We then investigated these events for signatures of previously proposed mechanisms of intron gain and loss. This work constitutes the first comprehensive study into the specific mechanisms that may generate intron gains and losses in Drosophila. We report evidence of intron gain via transposon insertion; the first intron loss that may have occurred via non-homologous end joining; intron gains via the repair of a double strand break; evidence of intron sliding; and evidence that internal or 5' introns may not frequently be deleted via the self-priming of reverse transcription during mRNA-mediated intron loss. Our data also suggest that the transcription process may promote or result in intron gain.
Conclusion
Our findings support the occurrence of intron gain via transposon insertion, repair of double strand breaks, as well as intron loss via non-homologous end joining. Furthermore, our data suggest that intron gain may be enabled by or due to transcription, and we shed further light on the exact mechanism of mRNA-mediated intron loss.
doi:10.1186/1471-2148-11-364
PMCID: PMC3296678  PMID: 22182367
8.  Adding a Genomic Healthcare Component to a Health Information Management Curriculum 
The inclusion of genomic information will become routine in electronic health records (EHRs). Educating health information management (HIM) students about how to best manage, protect, properly release, and use this information for patient care is of utmost importance. This study examined the usefulness of incorporating genomic modules into an existing course in quality management. Pretest and posttest results showed that students improved in all areas related to genomics in healthcare. Also, students enjoyed the class scenarios and discussion on the ethical use of genomic information. Interspersing genomic information management throughout an existing quality management class is an effective way to add this information to an existing HIM curriculum.
PMCID: PMC2966353  PMID: 21063543
genomic information; pretest-posttest study; quality management; education
9.  Sim4cc: a cross-species spliced alignment program 
Nucleic Acids Research  2009;37(11):e80.
Advances in sequencing technologies have accelerated the sequencing of new genomes, far outpacing the generation of gene and protein resources needed to annotate them. Direct comparison and alignment of existing cDNA sequences from a related species is an effective and readily available means to determine genes in the new genomes. Current spliced alignment programs are inadequate for comparing sequences between different species, owing to their low sensitivity and splice junction accuracy. A new spliced alignment tool, sim4cc, overcomes problems in the earlier tools by incorporating three new features: universal spaced seeds, to increase sensitivity and allow comparisons between species at various evolutionary distances, and powerful splice signal models and evolutionarily-aware alignment techniques, to improve the accuracy of gene models. When tested on vertebrate comparisons at diverse evolutionary distances, sim4cc had significantly higher sensitivity compared to existing alignment programs, more than 10% higher than the closest competitor for some comparisons, while being comparable in speed to its predecessor, sim4. Sim4cc can be used in one-to-one or one-to-many comparisons of genomic and cDNA sequences, and can also be effectively incorporated into a high-throughput annotation engine, as demonstrated by the mapping of 64 000 Fagus grandifolia 454 ESTs and unigenes to the poplar genome.
doi:10.1093/nar/gkp319
PMCID: PMC2699533  PMID: 19429899
10.  Universal seeds for cDNA-to-genome comparison 
BMC Bioinformatics  2008;9:36.
Background
To meet the needs of gene annotation for newly sequenced organisms, optimized spaced seeds can be implemented into cross-species sequence alignment programs to accurately align gene sequences to the genome of a related species. So far, seed performance has been tested for comparisons between closely related species, such as human and mouse, or on simulated data. As the number and variety of genomes increases, it becomes desirable to identify a small set of universal seeds that perform optimally or near-optimally on a large range of comparisons.
Results
Using statistical regression methods, we investigate the sensitivity of seeds, in particular good seeds, between four cDNA-to-genome comparisons at different evolutionary distances (human-dog, human-mouse, human-chicken and human-zebrafish), and identify classes of comparisons that show similar seed behavior and therefore can employ the same seed. In addition, we find that with high confidence good seeds for more distant comparisons perform well on closer comparisons, within 98–99% of the optimal seeds, and thus represent universal good seeds.
Conclusion
We show for the first time that optimal and near-optimal seeds for distant species-to-species comparisons are more generally applicable to a wide range of comparisons. This finding will be instrumental in developing practical and user-friendly cDNA-to-genome alignment applications, to aid in the annotation of new model organisms.
doi:10.1186/1471-2105-9-36
PMCID: PMC2375135  PMID: 18215286

Results 1-10 (10)