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Abstract B26: Development of a proximity ligation assay for the detection of PARP-1 trapped to chromatin

2017· article· en· W2604439647 on OpenAlexaboutno aff
Todd A. Hopkins, Barrett Ainsworth, Vivek C. Abraham, David Maag, Eric F. Johnson, Julie L. Wilsbacher

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsnot available
Fundersnot available
KeywordsPARP1Poly ADP ribose polymerasePARP inhibitorChromatinSynthetic lethalityCancer researchContext (archaeology)ChemistryDNA repairBiologyComputational biologyCell biologyDNAPolymeraseBiochemistry

Abstract

fetched live from OpenAlex

Abstract Background: PARP inhibitors (PARPi) have been under clinical investigation as anti-cancer therapies both as monotherapy and in combination. The two basic mechanisms underlying PARP inhibitor activity are catalytic inhibition and PARP-1 trapping. PARPi trap PARP-1 onto base excision repair intermediates, contributing to potentiation of DNA damage by alkylating agents. The role of PARP-1 trapping with regard to efficacy and tolerability in the clinic is still under investigation. All PARPis are capable of PARP-1 trapping; however, different clinical-stage PARPi trap with dramatically different efficiencies. High efficiency trapping agents trap at doses similar to those required for catalytic inhibition while low efficiency trapping agents trap only at doses much higher than those required for inhibition. Being able to image trapped PARP-1 complexes in the cellular context would be beneficial for identifying other proteins associated with these complexes and may have clinical application in the detection of trapped PARP in tumor biopsies. To date, detection of PARP-1 complexes has been limited to low through-put, techniques that disrupt cellular architecture and lack the sensitivity to detect PARP-1 trapping in the absence of supraphysiologic doses of alkylating agents. More sensitive methods for quantifying trapped PARP1 complexes with spatial resolution are needed to enable further understanding of PARP-1 trapping in cancer and normal cells. The objective of this study was to develop an assay capable of identifying cellular PARP-1 trapped to chromatin with enhanced sensitivity and higher assay throughput. Methods: Duolink is a 96-well plate adaptable system that uses a proprietary antibody/oligonucleotide conjugate that, when localized within 40 angstroms, will anneal, amplify and hybridize to generate a quantitative proximity ligation assay (PLA) signal. To develop a Duolink trapping assay, antibodies to PARP-1, histone H2A.X and phosphorylated (Ser139) H2A.X were identified and optimized for labeling concentrations, endogenous target protein recognition and suitability for high content imaging. Duolink PLA was performed per the manufacturer's protocol. Automated image acquisition by Cell Insight and data analysis were performed using Cellomics View Software. PARP1 trapping was also evaluated by cellular fractionation and Western blot. Results: Binding to chromatin places PARP-1 in close proximity to histone H2A.X, presumably within the distance required for successful Duolink oligonucleotide annealing and amplification reactions. Co-treating cells with alkylating agents and PARPi induces a significant increase in phosphorylation of H2A.X (Ser139) as well as trapped PARP1 complexes. Comparative analysis of Western blot and PLA signals in HeyA8 cells treated with different PARPi/alkylating agent combinations revealed positive rank-order correlation in trapping activity. Resolution of in vitro single agent PARP-1 trapping by Western blot has been elusive but PLA detection of single agent PARP1 trapping was observed. Conclusion: The PLA trapping assay provides an improved methodology for evaluation of endogenous PARP-1 complexes bound to chromatin and may have utility for clinical tissue specimens where detection of PARP-1 trapping may lead to insights regarding efficacy and tolerability of PARP inhibitors. Disclosures: All authors are employees of AbbVie. The design, study conduct, and financial support for this research were provided by AbbVie. AbbVie participated in the interpretation of data, review, and approval of the publication. Citation Format: Todd Hopkins, Barrett Ainsworth, Vivek Abraham, David Maag, Eric Johnson, Julie Wilsbacher. Development of a proximity ligation assay for the detection of PARP-1 trapped to chromatin [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr B26.

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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)0.002
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 score0.114
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.134
GPT teacher head0.456
Teacher spread0.323 · 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
Published2017
Admission routes1
Has abstractyes

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