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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Am Chem Soc. Author manuscript; available in PMC 2013 June 27.
Published in final edited form as:
PMCID: PMC3426452
NIHMSID: NIHMS385143

Fully functionalized small-molecule probes for integrated phenotypic screening and target identification

Abstract

Phenotypic screening offers a powerful approach to identify small-molecules that perturb complex biological processes in cells and organisms. The tendency of small molecules, however, to interact with multiple protein targets, often with moderate to weak affinities, along with the lack of straightforward technologies to characterize these interactions in living systems, has hindered efforts to understand the mechanistic basis for pharmacological activity. Here we address this challenge by creating a fully functionalized small-molecule library whose membership is endowed with: 1) one or more diversity elements to promote interactions with different protein targets in cells, 2) a photoreactive group for UV light-induced covalent crosslinking to interacting proteins, and 3) an alkyne handle for reporter tag conjugation to visualize and identify crosslinked proteins. A library member was found to inhibit cancer cell proliferation selectively under nutrient-limiting (low-glucose) conditions. Quantitative chemoproteomics identified MT-ND1, an integral membrane subunit of the ~ 1 MDa NADH:ubiquinone oxidoreductase (complex 1) involved in oxidative phosphorylation, as a specific target of the active probe. We further demonstrated that the active probe inhibits complex 1 activity in vitro (IC50 = 720 nM), an effect that is known to induce cell death in low-glucose conditions. Based on this proof of principle study, we anticipate that the generation and integration of fully functionalized compound libraries into phenotypic screening programs should facilitate the discovery of bioactive probes that are amenable to accelerated target identification and mechanistic characterization using advanced chemoproteomic technologies.

A primary goal of modern chemical biology is to create small-molecule probes that selectively perturb individual biochemical pathways in cells and animals.1 Such probes can help to elucidate the mechanistic basis for complex physiology and disease, as well as serve as starting points for drug development to treat human disorders.2-5 Phenotypic screening with small-molecule libraries has played a prominent role in the discovery of new chemical probes and drugs.6 However, determining the biologically relevant targets of small-molecule hits from phenotypic (cell or organismal) screens remains a major technical challenge for multiple reasons.

First, hit compounds often bind to one or more protein targets with low to moderate affinity, and these relatively weak interactions can be difficult to characterize using conventional affinity-chromatography methods, where the small-molecule is linked to a solid support to enrich binding proteins from cell lysates.7,8 Recent advances in the synthesis of small-molecule libraries with preinstalled linker elements9 and improvements in quantitative proteomics10 have enhanced the scope, sensitivity, and accuracy of such affinity enrichment experiments; but, the approaches still involve identifying protein targets from cell lysates, and, therefore, small molecule-protein interactions that depend on the integrity of the native cellular environment11,12 remain difficult to characterize. Genetic approaches for target identification can address this problem,13,14 but eliminating protein expression may not replicate the action of small-molecules, which often produce effects through blockade (or activation) of multiple protein targets and without the physical removal of these proteins from cells. While small-molecule libraries that possess electrophilic groups offer a way to trap interacting proteins in situ through covalent reactivity,15 we felt that this strategy, which depends on the fortuitous positioning of complementary nucleophilic residues in the binding pockets of target proteins, lacked generality for proteome-wide profiling in phenotypic screens. With these considerations in mind, we sought to develop a chemoproteomic strategy that could be combined with cell-based screening to enable the global and quantitative assessment of reversible small-molecule-protein interactions directly in living systems.

Our strategy involves the synthesis of a small-molecule library that is “fully functionalized” to enable direct progression from cell-based screening to target identification without requiring synthetic modification of the biologically active hit compounds. Each library member is equipped with a photoreactive group that is embedded within its structure to permit UV light-induced crosslinking to interacting proteins directly in living cells. Each compound also contains an alkyne, which serves as a click chemistry16,17-derivatizable handle for visualization, enrichment, and identification of interacting proteins18. We synthesized an ~30 member library based on two scaffolds – the 5-benzoyl indole (BzIndole) and 7-benzoyl-benzo-1,4-diazepin-2,5-dione (BzBD) – where structural diversity was introduced at multiple sites on the core backbone of the molecules (Figure 1A and Figure S1). Before proceeding to a phenotypic screen, we first evaluated the proteomic interactions of library members in mammalian cells.

Figure 1
A fully functionalized small-molecule library for integrated cell-based screening and target identification. (A) BzIndole and BzBd scaffolds and structures of repre-sentative library members. See Figure S1 for structures of all synthesized members of ...

The human breast cancer cell line MDA-MB-231 was treated with individual probes (10 μM, 4 0 min), crosslinked in situ with 365 nm light (5 min), and then lysed and their proteomes conjugated to rhodamineazide17 under click-chemistry conditions and visualized using SDS-PAGE and fluorescent scanning. Individual probes showed markedly distinct protein labeling events (Figure 1B), indicating that the diversity elements introduced into the probe library were sufficient to direct binding to different subsets of proteins in the proteome. Interestingly, these in situ profiles also differed considerably when compared to small-molecule-proteome reactions performed in vitro (Figure S2), indicating that the probes interact with different sets of proteins in living cells versus cell lysates.

We next screened the probe library for anti-proliferative activity in MDA-MB-231 cells under both normal and low-glucose conditions (8 and 1 mM glucose, respectively). The former condition matches standard cell-culture protocols, but the latter may better mimic the nutrient-deprived state encountered in solid tumors, which tend to be poorly vascularized.19,20 While none of the compounds affected MDA-MB-231 proliferation in normal glucose, one compound 1 profoundly inhibited proliferation in low-glucose (Figure 2A and Figure S3). The anti-proliferative activity of 1 was also observed in several other human cancer cell lines (Figure 2A) with IC50 values ranging from 0.33-1.3 μM (Figure 2B and Figure S3).

Figure 2
Anti-proliferative activity of compound 1 in human cancer cell lines. (A) Inhibition of cancer cell viability in low glucose (1 mM) media after 1 treatment (24 hr) as determined by the WST-1 assay. (B) Comparison of cell viability in low (1 mM) and normal ...

Compound 1 shares structural features with other inactive library members, perhaps most notably compound 14 , which differs only in the position of the t-butoxycarbamoylpiperazine carbonyl group (Figure 1A). We therefore surmised that a comparison of the proteomic targets of 1 versus 14 could reveal proteins relevant for the anti-proliferative activity of the former compound. We also synthesized a non-clickable analogue of 1 (compound 37, Figure 3A) for use in competitive profiling experiments and confirmed that this agent2 retained anti-proliferative activity (IC50 ~ 5 μM, Figure S4). Gel-based profiling of proteomes from cells treated with 1, 14, or 1 + 5X 37 detected multiple proteins that were preferentially labeled by 1 over 14 and competed by 37 (Figure 3B). To identify these proteins, we performed quantitative proteomics experiments using SILAC (stable isotope labeling by amino acids in cell culture) methods10 as follows. MDA-MB-231 cells were grown in media containing isotopically heavy- or light-labeled amino acids and then treated with probes 1 and 14, respectively, or probe 1 −/+ 5X 37, respectively. We also performed control experiments where both heavy- and light-labeled cells were treated with probe 1 or heavy- and light-labeled cells were treated with 1 and DMSO, respectively. After in situ photocrosslinking, cells were lysed, their proteomes conjugated to a biotinazide tag, and then paired heavy and light proteomic samples were mixed in a 1:1 ratio, separated into soluble and membrane fractions, enriched with avidin, digested on bead with trypsin, and analyzed by LC-MS/MS using an LTQ-Orbitrap instrument. Light and heavy signals were quantified from the parent ion (MS1) peaks using the CIMAGE software21 to generate SILAC ratios for each detected peptide and corresponding protein identities were determined from product ion peptide profiles (MS2) using the ProLuCID search algorithm.22

Figure 3
Chemoproteomic identification of proteins that interact with probe 1 in cancer cells. (A) A nonclickable analog of 1 (compound 37) for competition profiling experiments (reagents: 1 atm H2, cat. Pd–BaSO4, EtOH). (B) Gel profile comparing proteins ...

Two proteins fit the criteria of being labeled by 1 preferentially over 14 and competed at least two-fold by 5X 37 – 1) epoxide hydrolase-1 (EPHX1), a 50 kDa microsomal enzyme that metabolizes exogenous and endogenous epoxide metabolites23 (Table 1, Figure S5, and Table S1) and 2) MT-ND1, an integral membrane subunit of the ubiquinone oxidoreductase (complex 1) involved in mitochondrial respiration (Table 1, Figure 3C, and Table S1).24 MT-ND1 is predicted to be a 35 kDa protein based on amino acid sequence, but has been shown in several previous studies to migrate as an ~ 25 kDa protein by SDS-PAGE25-28. Gel-based profiling identified candidate 1-labeled bands that correspond to both proteins (as deduced by their preferential labeling by 1 over 14 and competition by excess 37; Fig. 3C). Gel-based profiling also detected an additional ~35 kDa target selectively reactive with 1 over 14 (Fig. 3C, asterisk), but a corresponding protein target that matches this molecular weight was not detected in our mass spectrometry analyses, perhaps because the comparatively weak probe-labeling signals for this protein precluded sufficient enrichment for its identification. While it is possible that 1 produces its anti-proliferative effect through a combination of these protein targets, MT-ND1 stood out, in our mind, as the most likely candidate, considering that other complex 1 inhibitors are known to impair cancer cell viability under low-glucose conditions.20,29,30 We therefore assayed 1 and control compound 14 for their ability to inhibit complex 1 activity in purified submitochondrial particles. Complex 1 activity was inhibited more potently by 1 (IC50 = 720 nM) than 14 (IC50 = 6.1 μM) (Figure 3C), consistent with the relative labeling of MT-ND1 by these compounds in cancer cells (Figure 3B and D). We also confirmed that 1 selectively labels EPHX1 by recombinantly expressing this protein in HEK293T cells (Figure S6). These data, taken together, demonstrate that the anti-proliferative agent 1 selectively targets only a handful of proteins in cancer cells, including MT-ND1, the inhibition of which would be predicted to impair mitochondrial respiration and lead to cancer cell death under nutrient-limiting conditions.

Table 1
High-confidence protein targets of compound 1. Highlighted are two proteins that showed > 2-fold higher SILAC ratios in quantitative chemoproteomic studies of 1− versus 14-treated and 1− versus 1 + 5X 37-treated MDA-MB-231 cells. ...

The importance of phenotypic screening as a source for new chemical probe and drug discovery is well-recognized.6 However, determining the mechanism of action for hit compounds from cell-based assays remains a major challenge due, at least in part, to a lack of robust technologies for target identification. Here, we have described a strategy for generating small-molecule libraries that addresses this problem. Each library member is “fully functionalized” to contain photoactivatable and alkyne groups for in situ crosslinking to protein targets and chemoproteomic characterization of these small molecule-protein adducts, respectively. As a proof of principle, we identified a small-molecule probe 1 that inhibits hypoglycemic cancer cell proliferation and determined that one of its major cellular targets is the complex 1 component MT-ND1. We further validated that 1 inhibits the NADH oxidase activity of complex 1, similar to other known inhibitors of the complex that elicit glucose-dependent anti-proliferative effects in cancer cells. It is noteworthy that previous complex 13 inhibitors have been converted into radiolabeled, photoreactive analogs to ascertain their subunit interactions and binding site information;25-28 but these studies have often spanned many years in duration, likely due to the technical challenges that accompany incorporation of photocrosslinkers and radioisotopes into bioactive compounds, as well as the difficulties inherent to the biochemical purification and analysis of multi-subunit integral membrane protein complexes. By using a fully functionalized library of small-molecules in which photoreactive groups, alkyne affinity handles, and diversity elements are embedded into the core structure of the library, we have provided a more streamlined platform for uniting the steps of phenotypic screening and target identification.

Projecting forward, we should mention some challenges, perhaps first and foremost the need to create fully functionalized libraries of much greater size and complexity. Here, the development of synthetic methods that allow efficient incorporation of additional photocrosslinking groups beyond the benzophenone, such as diazirines or aryl azides, would be helpful in expanding the structural diversity of libraries. Another potentially confounding feature is photocrosslinking yield, which can vary considerably depending on the proximity of the photoreactive group to interacting protein(s). We anticipate that embedding the photoreactive group within the core scaffold of libraries should help to maximize protein interactions and cross-linking yield. Finally, we should emphasize that hit compounds emerging from phenotypic screens with fully functionalized libraries should be viewed as tool compounds as opposed to drug candidates. But, by defining the target profile required to produce a desired biological effect, as well as establishing a structure-activity relationship for this activity, we anticipate that the described strategy will set the stage for future medicinal chemistry efforts to convert chemical probes into more drug-like small molecules.

Supplementary Material

1_si_001

ACKNOWLEDGMENT

We thank Takao and Akemi Yagi who generously provided purified submitochondrial particles. This work was supported by NIH grant GM090294, a Ray Kathren American Cancer Society fellowship (J.S.C.), and a Ruth L. Kirschstein National Research Service Award F32GM095245-01 (J.S.C.).

Footnotes

ASSOCIATED CONTENT Supplementary figures, experimental protocols, synthetic schemes, and compound characterization. This material is available free of charge via the Internet at http://pubs.acs.org.

Author Contributions

Supporting Information Placeholder

REFERENCES

(1) Paolini GV, Shapland RH, van Hoorn WP, Mason JS, Hopkins AL. Nat. Biotechnol. 2006;24:805. [PubMed]
(2) Yagoda N, von Rechenberg M, Zaganjor E, Bauer AJ, Yang WS, Fridman DJ, Wolpaw AJ, Smukste I, Peltier JM, Boniface JJ, Smith R, Lessnick SL, Sahasrabudhe S, Stockwell BR. Nature. 2007;447:864. [PMC free article] [PubMed]
(3) Chen S, Do JT, Zhang Q, Yao S, Yan F, Peters EC, Scholer HR, Schultz PG, Ding S. Proc. Natl. Acad. Sci. USA. 2006;103:17266. [PubMed]
(4) Petrascheck M, Ye X, Buck L. Nature. 2007;450:553. [PubMed]
(5) Guiguemde WA, Shelat AA, Garcia-Bustos JF, Diagana TT, Gamo FJ, Guy RK. Chem. Biol. 2012;19:116. [PMC free article] [PubMed]
(6) Swinney DC, Anthony J. Nat. Rev. Drug Discov. 2011;10:507. [PubMed]
(7) Leslie BJ, Hergenrother PJ. Chem. Soc. Rev. 2008;37:1347. [PubMed]
(8) Burdine L, Kodadek T. Chem. Biol. 2004;11:593. [PubMed]
(9) Ahn YH, Chang YT. Acc. Chem. Res. 2007;40:1025. [PubMed]
(10) Ong SE, Schenone M, Margolin AA, Li X, Do K, Doud MK, Mani DR, Kuai L, Wang X, Wood JL, Tolliday NJ, Koehler AN, Marcaurelle LA, Golub TR, Gould RJ, Schreiber SL, Carr SA. Proc. Natl. Acad. Sci. USA. 2009;106:4617. [PubMed]
(11) Evans MJ, Cravatt B. Chem. Rev. 2006;106:3279. [PubMed]
(12) Salisbury CM, Cravatt BF. Proc. Natl. Acad. Sci. USA. 2007;104:1171. [PubMed]
(13) Wacker SA, Houghtaling BR, Elemento O, Kapoor TM. Nat. Chem. Biol. 2012;8:235. [PMC free article] [PubMed]
(14) Ho CH, Piotrowski J, Dixon SJ, Baryshnikova A, Costanzo M, Boone C. Curr. Opin. Chem. Biol. 2011;15:66. [PubMed]
(15) Evans MJ, Saghatelian A, Sorensen E, Cravatt BF. Nat. Biotechnol. 2005;23:1303. [PubMed]
(16) Rostovtsev VV, Green LG, Fokin VV, Sharpless KB. Angew. Chem. Int. Ed. Engl. 2002;41:2596. [PubMed]
(17) Tornoe CW, Christensen C, Meldal M. J. Org. Chem. 2002;67:3057. [PubMed]
(18) Speers AE, Cravatt BF. Chem. Biol. 2004;11:535. [PubMed]
(19) Vaupel P, Kallinowski F, Okunieff P. Cancer Res. 1989;49:6449. [PubMed]
(20) Pelicano H, Feng L, Zhou Y, Carew JS, Hileman EO, Plunkett W, Keating MJ, Huang P. J. Biol. Chem. 2003;278:37832. [PubMed]
(21) Weerapana E, Wang C, Simon GM, Richter F, Khare S, Dillon MB, Bachovchin DA, Mowen K, Baker D, Cravatt BF. Nature. 2010;468:790. [PMC free article] [PubMed]
(22) Tayo LL, Lu B, Cruz LJ, Yates JR., 3rd J. Proteome Res. 2010;9:2292. [PMC free article] [PubMed]
(23) Morisseau C, Hammock BD. Annu. Rev. Pharmacol. Toxicaol. 2005;45:311. [PubMed]
(24) Brandt U. Annu. Rev. Biochem. 2006;75:69. [PubMed]
(25) Murai M, Ishihara A, Nishioka T, Yagi T, Miyoshi H. Biochemistry. 2007;46:6409. [PubMed]
(26) Murai M, Sekiguchi K, Nishioka T, Miyoshi H. Biochemistry. 2009;48:688. [PubMed]
(27) Kakutani N, Murai M, Sakiyami N, Miyoshi H. Biochemistry. 2010;49:4794–4803. [PubMed]
(28) Murai M, Mashimo Y, Hirst J, Miyoshi H. Biochemistry. 2011;50:6901. [PubMed]
(29) Ahmad IM, Aykin-Burns N, Sim JE, Walsh SA, Higashikubo R, Buettner GR, Venkataraman S, Mackey MA, Flanagan SW, Oberley LW, Spitz DR. J. Biol. Chem. 2005;280:4254. [PubMed]
(30) Han M, Im D-S. Arch. Pharm. Res. 2008;31:749. [PubMed]