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Abstract SY08-03: Targeting chromatin regulation for cancer therapy: progress towards chemical probes for methyl-lysine readers

2015· article· en· W2551547026 on OpenAlexaff
Lindsey I. James, Jake I. Stuckey, Brandi M. Baughman, Michael T. Perfetti, Samantha G. Pattenden, Brad M. Dickson, Jacqueline L. Norris, Gaofeng Cui, P. Mäder, Aiping Dong, Yunxiang Mu, Scott B. Rothbart, Brian D. Strahl, Jinrong Min, Peter J. Brown, Dmitri Kireev, William P. Janzen, Kevin M. McBride, Mark T. Bedford, Georges Mer, C.H. Arrowsmith, Stephen V. Frye

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsStructural Genomics ConsortiumUniversity of Toronto
Fundersnot available
KeywordsEpigeneticsComputational biologyChromatinBiologySmall moleculeDrug discoveryCell biologyChemistryGeneticsBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract Methyl-lysine (Kme) recognition domains play a central role in epigenetic regulation during cellular differentiation, development, and gene transcription with more than 200 known “reader” domains in the human proteome. We describe our target-class approach to ligand design and discovery for three cancer relevant members of this large family: L3MBTL3 (a Malignant Brain Tumor (MBT) domain containing reader), 53BP1 (a tandem Tudor domain) and CBX7 (a chromo domain). The advantages of a small molecule driven approach to modulating chromatin biology are numerous: temporal resolution; mechanistic flexibility (targeting a specific activity of a protein as opposed to ablating them all with transgenic knock-outs or RNA-interference techniques); ease of delivery; and most significantly, when warranted, a small molecule tool has the potential to provide an immediate transition to a drug discovery effort, potentially cutting years off the time between target validation and therapeutic intervention. UNC1215 binds the MBT domains of L3MBTL3 with a Kd of 120 nM, competitively displacing mono- or dimethyl-lysine containing peptides. This probe is greater than 50-fold selective versus other members of the human MBT family and also demonstrates selectivity against more than 200 other Kme reader domains examined. UNC1215 increases the cellular mobility of GFP-L3MBTL3 fusion proteins and point mutants that disrupt the Kme binding function of GFP-L3MBTL3 phenocopy the effects of UNC1215. The potency, specificity, and cellular effects of UNC1215 establish it as the first cell-active antagonist of a Kme reader domain and a useful chemical probe for biological studies of the function of L3MBTL3 (James, L. I. et al. Nat Chem Biol 2013, 9, 184-191). 53BP1 is a Kme binding protein that plays a central biological role in DNA Damage Repair (DDR) pathway via its recruitment to sites of DNA double strand breaks (DSB). BRCA1 is a checkpoint and DNA damage repair gene that is required for maintenance of genomic integrity, and the inheritance of mutated BRCA1 is a major risk factor for breast and ovarian cancer. The BRCA1 knockout murine model is embryonic lethal and a conditional knockout in mammary glands results in low frequency and long latency of mammary tumor formation. It was recently reported that the BRCA1-null developmental phenotype is rescued when placed on a 53BP1-null background. Adult mice from this model, that are null for both the 53BP1 and BRCA1 genes, age normally and display a very low incidence of tumor formation. Genomic instability can be rescued in 53BP1 knockouts because the homologous recombination (HR) pathway is largely restored in cells lacking both BRCA1 and 53BP1 (Cao, L. et al. Molecular cell 2009, 35 (4), 534-41). Based on this data, small molecule antagonists of 53BP1's biological function could act as viable therapeutics to restore HR in the DDR response in humans with BRAC1 mutations. We will report the first small molecule, fragment-like ligands with selectivity for binding to 53BP1. CBX7 is a chromo domain containing Kme reader that, along with other CBX domains, recruits the PRC1 complex to histone 3, lysine 27 trimethylation sites (H3K27me3) and enables transcriptional silencing downstream of the PRC2 complex which ‘writes’ the H3K27me3 mark via the catalytic activity of EZH2. As EZH2 is a well validated drug target with inhibitors now entering the clinic for the treatment of various cancers, we hypothesize that antagonism of the PRC1 complex recognition of H3K27me3 will phenocopy and perhaps synergize with the activity of EZH2 inhibitors (Konze, K. D. et al. ACS Chemical Biology 2013, 8, 1324-1334). Progress towards a chemical probe to validate CBX7 as a therapeutic target will be presented. The pursuit of high quality chemical probes for KMe reader proteins represents an emerging area that will open new avenues of research in chromatin biology and may in time, translate to new therapeutic approaches. Antagonists of the readers of acetylated lysine (BRD4 bromo domains) derived from pioneering chemical probe efforts (Filippakopoulos, P. et al. Nature 468, 1067-73 (2010)) have recently entered the clinic for the treatment of various malignancies and we hope that our chemical probe work will help to validate Kme readers as novel and significant anti-tumor targets. Citation Format: Lindsey I. James, Jake I. Stuckey, Brandi M. Baughman, Michael T. Perfetti, Samantha G. Pattenden, Brad M. Dickson, Jacqueline L. Norris, Gaofeng Cui, Pavel Mader, Aiping Dong, Yunxiang Mu, Scott B. Rothbart, Brian D. Strahl, Jinrong Min, Peter J. Brown, Dmitri B. Kireev, William P. Janzen, Kevin M. McBride, Mark T. Bedford, Georges Mer, Cheryl H. Arrowsmith, Stephen V. Frye. Targeting chromatin regulation for cancer therapy: progress towards chemical probes for methyl-lysine readers. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr SY08-03. doi:10.1158/1538-7445.AM2015-SY08-03

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.752

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.430
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
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