Evidence map›Paper›PMID 26933254›Full record

ArticleCold Spring Harbor protocols2016

Large-Scale Single Guide RNA Library Construction and Use for CRISPR-Cas9-Based Genetic Screens.

Tim Wang, Eric S Lander, David M Sabatini

Open access · greenAbstract read
In one paragraph

Article in Cold Spring Harbor protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Genome-wide CRISPR screens reveal multitiered mechanisms through which mTORC1 senses mitochondrial dysfunction.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Overview of CRISPR-Cas9 Biology.Cold Spring Harbor protocols · 2016
    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

3 authors at 3 institutions in 1 country.

Tim WangDepartment of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139; Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142; David H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, Massachusetts 02139; Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139;
Eric S LanderDepartment of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142; Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115.
David M SabatiniDepartment of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139; Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142; David H. Koch Institute for Integrative Cancer Research at MIT, Cambridge, Massachusetts 02139; Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139;
Howard Hughes Medical Institute · USKoch Institute for Integrative Cancer Research At MITMassachusetts Institute of Technology · US

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Regulation of the mTOR Pathway By NutrientsR01CA103866 · NCI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI WEISSMAN, JONATHAN S. · 2004 to 2021
$7.0M
Improving targeted therapies through functional genomic approachesF31CA189437 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WANG, TIM · 2014 to 2017
$107k
NCI NIH HHS CA103866NCI NIH HHS F31 CA189437NCI NIH HHS R01 CA103866NHGRI NIH HHS 2U54HG003067-10NHGRI NIH HHS U54 HG003067
6 · The paper itself

Abstract

The ability to systematically disrupt genes serves as a powerful tool for understanding their function. The programmable CRISPR-Cas9 system enables efficient targeting of large numbers of genes through the use of single guide RNA (sgRNA) libraries. In cultured mammalian cells, collections of knockout mutants can be readily generated by means of transduction of Cas9-sgRNA lentiviral pools, screened for a phenotype of interest, and counted using high-throughput DNA sequencing. This technique represents the first general method for undertaking systematic loss-of-function genetic screens in mammalian cells. Here, we introduce the methodology and rationale for conducting CRISPR-based screens, focusing on distinguishing positive and negative selection strategies.

Indexed as

CRISPR-Cas SystemsGene LibraryAnimalsCell LineGene Knockout TechniquesGenetic TestingHumansMammalsRNARNA

Identifiers

PMID26933254
PMCPMC4804892
OpenAlexW2294442132

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.