Evidence map›Paper›PMID 37169829›Full record

ArticleScientific reports2023

Multimodal perturbation analyses of cyclin-dependent kinases reveal a network of synthetic lethalities associated with cell-cycle regulation and transcriptional regulation.

Kyle Ford, Brenton P Munson, Samson H Fong, Rebecca Panwala, Wai Keung Chu, Joseph Rainaldi, Nongluk Plongthongkum, Vinayagam Arunachalam, Jarek Kostrowicki, Dario Meluzzi and 9 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 1 country.

Kyle Ford *Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Brenton P Munson *Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Samson H Fong *Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Rebecca PanwalaDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Wai Keung ChuDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Joseph RainaldiDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Nongluk PlongthongkumDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Vinayagam ArunachalamPfizer Inc, 10555 Science Center Drive, San Diego, CA, 92121, USA.
Jarek KostrowickiPfizer Inc, 10555 Science Center Drive, San Diego, CA, 92121, USA.
Dario MeluzziDepartment of Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
Jason F KreisbergDepartment of Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
Kristen Jensen-PergakesPfizer Inc, 10555 Science Center Drive, San Diego, CA, 92121, USA.
Todd VanArsdalePfizer Inc, 10555 Science Center Drive, San Diego, CA, 92121, USA.
Thomas PaulPfizer Inc, 10555 Science Center Drive, San Diego, CA, 92121, USA.
Pablo TamayoDepartment of Medicine, University of California San Diego, La Jolla, CA, 92093, USA.
Kun ZhangDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA.
Jadwiga BienkowskaPfizer Inc, 10555 Science Center Drive, San Diego, CA, 92121, USA. Jadwiga.R.Bienkowska@pfizer.com.
Prashant MaliDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA. pmali@ucsd.edu.
Trey IdekerDepartment of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA. tideker@health.ucsd.edu.
University of California San Diego · USPfizer (United States) · USLa Jolla Bioengineering Institute · US

Funding

Bridge2AI: Cell Maps for AI (CM4AI) Data Generation ProjectOT2OD032742 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jean-Christophe Bélisle-Pipon, TIMOTHY W CLARK · 2022 to 2026
$21.5M
The Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Trey Ideker, Nevan J Krogan · 2022 to 2026
$14.2M
Using Networks to Seed Hierarchical Whole-cell Models of CancerU54CA209891 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KROGAN, NEVAN J · 2017 to 2021
$10.9M
Supporting and evolving Gene Set Enrichment Analysis and the Molecular Signatures Database for cancer researchU24CA220341 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MESIROV, JILL P., TAMAYO, PABLO · 2018 to 2022
$3.4M
Next generation massively multiplexed combinatorial genetic screensR01HG012351 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Trey Ideker, Prashant Mali · 2023 to 2026
$2.7M
UC San Diego Genetics Training ProgramT32GM145427 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BRUCE A HAMILTON · 2022 to 2026
$2.6M
Systematic mapping of genetic vulnerabilities in head and neck cancerR01CA222826 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALI, PRASHANT · 2018 to 2022
$1.8M
See-ing the 4D Nucleome: Enhancer Cooperativity in Phase Separated StructuresK01DK119687 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MELUZZI, DARIO · 2018 to 2020
$356k
NCI NIH HHS R01 CA222826NCI NIH HHS U24 CA220341NCI NIH HHS U54 CA209891NCI NIH HHS U54 CA274502NHGRI NIH HHS R01 HG012351NIDDK NIH HHS K01 DK119687NIGMS NIH HHS T32 GM145427NIH HHS OT2 OD032742
6 · The paper itself

Abstract

Cell-cycle control is accomplished by cyclin-dependent kinases (CDKs), motivating extensive research into CDK targeting small-molecule drugs as cancer therapeutics. Here we use combinatorial CRISPR/Cas9 perturbations to uncover an extensive network of functional interdependencies among CDKs and related factors, identifying 43 synthetic-lethal and 12 synergistic interactions. We dissect CDK perturbations using single-cell RNAseq, for which we develop a novel computational framework to precisely quantify cell-cycle effects and diverse cell states orchestrated by specific CDKs. While pairwise disruption of CDK4/6 is synthetic-lethal, only CDK6 is required for normal cell-cycle progression and transcriptional activation. Multiple CDKs (CDK1/7/9/12) are synthetic-lethal in combination with PRMT5, independent of cell-cycle control. In-depth analysis of mRNA expression and splicing patterns provides multiple lines of evidence that the CDK-PRMT5 dependency is due to aberrant transcriptional regulation resulting in premature termination. These inter-dependencies translate to drug-drug synergies, with therapeutic implications in cancer and other diseases.

Indexed as

NeoplasmsCell CycleCell Cycle CheckpointsHumansProtein-Arginine N-MethyltransferasesPRMT5 protein, humanProtein-Arginine N-Methyltransferases

Identifiers

PMID37169829
PMCPMC10175263
OpenAlexW4376135356

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.