Evidence map›Paper›PMID 31921397›Full record

ReviewComputational and structural biotechnology journal2019

Chemogenetic interactions in human cancer cells.

Medina Colic, Traver Hart

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. simCRISPR: Modeling Experimental Complexity in Pooled CRISPR Screens.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. The death gaze of MEDUSA.Nature chemical biology · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Common computational tools for analyzing CRISPR screens.Emerging topics in life sciences · 2021
    Review
  10. Chemical-Genetic Interactions as a Means to Characterize Drug Synergy.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  11. Review
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

2 authors at 1 institution in 1 country.

Medina ColicDepartment of Bioinformatics and Computational Biology and Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Traver HartDepartment of Bioinformatics and Computational Biology and Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
High-content microscopy platform for multiplex perturbation/multiplex readout studiesR35GM130119 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Traver Hart · 2018 to 2026
$3.9M
NCI NIH HHS P30 CA016672NIGMS NIH HHS R35 GM130119
6 · The paper itself

Abstract

Chemogenetic profiling enables the identification of genes that enhance or suppress the phenotypic effect of chemical compounds. Using this approach in cancer therapies could improve our ability to predict the response of specific tumor genotypes to chemotherapeutic agents, thus accelerating the development of personalized drug therapy. In the not so distant past, this strategy was only applied in model organisms because there was no feasible technology to thoroughly exploit desired genetic mutations and their impact on drug efficacy in human cells. Today, with the advent of CRISPR gene-editing technology and its application to pooled library screens in mammalian cells, chemogenetic screens are performed directly in human cell lines with high sensitivity and specificity. Chemogenetic profiling provides insights into drug mechanism-of-action, genetic vulnerabilities, and resistance mechanisms, all of which will help to accurately deliver the right drug to the right target in the right patient while minimizing side effects.

Indexed as

Chemogenetic screensCRISPRDrug-gene interactions

Identifiers

PMID31921397
PMCPMC6945272
OpenAlexW2981695500

What Socratic holds

Textmetadata
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 Socratic graph.