Evidence map›Paper›PMID 34930405›Full record

ArticleGenome biology2021

Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects.

Joshua M Dempster, Isabella Boyle, Francisca Vazquez, David E Root, Jesse S Boehm, William C Hahn, Aviad Tsherniak, James M McFarland

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 281 papers.

0numbers the graph read from it
0cells of the map it votes in
281citing papers in PubMed
–field-weighted citation impact
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

281 citing papers in PubMed.

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  6. Disentangling Heterogeneous Molecular Networks for Multi-Omics-Driven Cancer Driver Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  20. PHLPP is neither a Phosphatase nor a Tumor Suppressor.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review

221 more citing papers are in PubMed but not listed here.

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

8 authors.

Joshua M DempsterBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.ORCID 0000-0002-3634-9576
Isabella BoyleBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
Francisca VazquezBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
David E RootBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
Jesse S BoehmBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
William C HahnBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
Aviad TsherniakBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA.
James M McFarlandBroad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA, 02142, USA. jmmcfarl@broadinstitute.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR loss of function screens are powerful tools to interrogate biology but exhibit a number of biases and artifacts that can confound the results. Here, we introduce Chronos, an algorithm for inferring gene knockout fitness effects based on an explicit model of cell proliferation dynamics after CRISPR gene knockout. We test Chronos on two pan-cancer CRISPR datasets and one longitudinal CRISPR screen. Chronos generally outperforms competitors in separation of controls and strength of biomarker associations, particularly when longitudinal data is available. Additionally, Chronos exhibits the lowest copy number and screen quality bias of evaluated methods. Chronos is available at https://github.com/broadinstitute/chronos .

Indexed as

Computational BiologyCRISPR-Cas SystemsGenomePopulation DynamicsAlgorithmsBiomarkers, TumorClustered Regularly Interspaced Short Palindromic RepeatsGene Knockout TechniquesGene LibraryHumansNeoplasmsBiomarkers, Tumor

Identifiers

PMID34930405
PMCPMC8686573

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.