Evidence map›Paper›PMID 35022620›Full record

ArticleNature protocols2022

Pooled genetic perturbation screens with image-based phenotypes.

David Feldman, Luke Funk, Anna Le, Rebecca J Carlson, Michael D Leiken, FuNien Tsai, Brian Soong, Avtar Singh, Paul C Blainey

Abstract read
In one paragraph

Article in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The one-week automated genome-wide optical pooled screen.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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  17. Article
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  20. bioRxiv : the preprint server for biology · 2025
    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

9 authors.

David Feldman *Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Luke Funk *Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3901-4691
Anna LeBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Rebecca J CarlsonBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-5423-9717
Michael D LeikenBroad Institute of MIT and Harvard, Cambridge, MA, USA.
FuNien TsaiBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Brian SoongBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-4647-7704
Avtar SinghBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Paul C BlaineyBroad Institute of MIT and Harvard, Cambridge, MA, USA. pblainey@broadinstitute.org.ORCID http://orcid.org/0000-0002-4889-8783

Funding

Center for Cell CircuitsP50HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI REGEV, AVIV · 2011 to 2015
$15.6M
Center for Cell CircuitsRM1HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, HACOHEN, NIR · 2016 to 2020
$14.9M
High-content optical pooled genome-wide screens of SARS-CoV-2 infectionR01HG009283 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK · 2017 to 2020
$4.8M
NHGRI NIH HHS P50 HG006193NHGRI NIH HHS R01 HG009283NHGRI NIH HHS RM1 HG006193
6 · The paper itself

Abstract

Discovery of the genetic components underpinning fundamental and disease-related processes is being rapidly accelerated by combining efficient, programmable genetic engineering with phenotypic readouts of high spatial, temporal and/or molecular resolution. Microscopy is a fundamental tool for studying cell biology, but its lack of high-throughput sequence readouts hinders integration in large-scale genetic screens. Optical pooled screens using in situ sequencing provide massively scalable integration of barcoded lentiviral libraries (e.g., CRISPR perturbation libraries) with high-content imaging assays, including dynamic processes in live cells. The protocol uses standard lentiviral vectors and molecular biology, providing single-cell resolution of phenotype and engineered genotype, scalability to millions of cells and accurate sequence reads sufficient to distinguish >10

Indexed as

PhenotypeGene LibraryGenetic TestingHigh-Throughput Nucleotide SequencingHumansImage Processing, Computer-AssistedLentivirus

Identifiers

PMID35022620
PMCPMC9654597

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Registered trials

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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.