MétaCan
Menu
Back to cohort

Abstract PR15: Cas9/RNA-based forward genetic screenings in mouse embryonic stem cells uncovered the role of genes mediating resistance to ATR inhibitors

2017· article· en· W2604874086 on OpenAlexaboutno aff
Sergio Ruiz, Cristina Mayor‐Ruiz, Vanesa Lafarga, Matilde Murga, Maria E. Vega, Sagrario Ortega, Óscar Fernández-Capetillo

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCRISPRBiologyCas9Embryonic stem cellGenome editingDoxycyclineGene knockoutGeneGuide RNACell biologyComputational biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Mouse embryonic stem cells (mESCs) represent an excellent platform to study processes of developmental biology, model disease in vitro and in vivo or perform drug discoveries. In the last few years, the development of precise genome engineering tools based on the RNA-guided Cas9 nuclease from the type II prokaryotic clustered regularly interspaced short palindromic repeats (CRISPR) adaptive immune system, has enabled efficient and easy to engineer targeted genome modifications in mammalian cells. Using this technology, we generated a highly controlled doxycycline-inducible Cas9 mESC line, which harbor one single copy of Cas9 located in the type I collagen gene. Lentiviral delivery of small guide RNAs (sgRNAs) in doxycycline-treated mESCs demonstrated to be a very efficient manner to generate specific knockout mESCs lines. Therefore, we generated mESC libraries of knockout cells by using a lentiviral library of 80000 sgRNAs designed against 20000 mouse genes to perform forward genetic screenings. As a proof of concept, we investigated the existence of genes providing resistance to the absence of the ataxia-telangiectasia and Rad3 related (ATR) function by incubating the mESC libraries with lethal doses of ATR inhibitor. We here report the identification of CDC25A as a major determinant of sensitivity to ATR inhibition. CDC25A deficient cells resist high doses of ATR inhibitors, which we show is due to their failure to prematurely enter mitosis in response to the drugs. Forcing mitotic entry with WEE1 inhibitors restores the toxicity of ATR inhibitors in CDC25A deficient cells. In addition, we have adapted the CRISPR-based SAM (Synergistic Activation Mediators) system to develop a doxycycline-inducible nuclease-dead Cas9 mESC line to induce gene expression at will. We generated mESC cell libraries by using a lentiviral library of 70000 sgRNAs designed against the proximal promoter of 20000 mouse genes to perform a gain-of-function screening with lethal doses of ATR inhibitor and results will be presented. With ATR inhibitors now entering the clinic, our work provides a better understanding of the mechanisms by which these compounds kill cells, and reveals genetic interactions that could be used for their rational use. Taking together, our loss-of-function and gain-of function cell libraries in mESCs represent an excellent platform to systematically identify genes involved in mediating resistance against chemotherapeutic agents. This abstract is also being presented as Poster A35. Citation Format: Sergio Ruiz, Cristina Mayor-Ruiz, Vanessa Lafarga, Matilde Murga, Maria Vega, Sagrario Ortega, Oscar Fernandez-Capetillo. Cas9/RNA-based forward genetic screenings in mouse embryonic stem cells uncovered the role of genes mediating resistance to ATR inhibitors [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 PR15.

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 score0.021
Threshold uncertainty score0.747

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 science0.0010.000
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 head0.018
GPT teacher head0.343
Teacher spread0.325 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueMolecular Cancer ResearchSame topicCRISPR and Genetic EngineeringFrench-language works237,207