Evidence map›Paper›PMID 28487920›Full record

ReviewChemical communications (Cambridge, England)2017

Elucidating drug targets and mechanisms of action by genetic screens in mammalian cells.

Martin Kampmann

Abstract readReview
In one paragraph

Review in Chemical communications (Cambridge, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Cell Reprogramming With CRISPR/Cas9 Based Transcriptional Regulation Systems.Frontiers in bioengineering and biotechnology · 2020
    Review
  9. Article
  10. Inhibitors and chemical probes for molecular chaperone networks.The Journal of biological chemistry · 2019
    Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. 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

1 author.

Martin KampmannInstitute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco and Chan Zuckerberg Biohub, San Francisco, California, USA. martin.kampmann@ucsf.edu.

Funding

Rewiring of the human protein homeostasis network in normal and disease contextsDP2GM119139 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAMPMANN, MARTIN · 2015 to 2015
$2.3M
Stress response networks in cancer: systematic mapping and therapeutic potentialR00CA181494 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAMPMANN, MARTIN · 2015 to 2017
$747k
Stress response networks in cancer: systematic mapping and therapeutic potentialK99CA181494 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KAMPMANN, MARTIN · 2014 to 2014
$139k
NCI NIH HHS K99 CA181494NCI NIH HHS R00 CA181494NIGMS NIH HHS DP2 GM119139
6 · The paper itself

Abstract

Phenotypic screening is a powerful approach to discover small molecules with desired effects on biological systems, which can then be developed into therapeutic drugs. The identification of the target and mechanism of action of compounds discovered in phenotypic screens remains a major challenge. This feature article describes the use of genetic tools to reveal drug targets and mechanisms in mammalian cells. Until recently, RNA interference was the method of choice for such studies. Here, we highlight very recent additions to the genetic toolkit in mammalian cells, including CRISPR, CRISPR interference, and CRISPR activation, and illustrate their usefulness for drug target identification.

Indexed as

Genetic TestingAnimalsCell SurvivalClustered Regularly Interspaced Short Palindromic RepeatsHumansNeoplasmsPhenotypeSmall Molecule LibrariesSmall Molecule Libraries

Identifiers

PMID28487920
PMCPMC5507204

What OpenQuestion holds

Textmetadata
LicenceTDM
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.