Evidence map›Paper›PMID 36366905›Full record

ReviewMolecular systems biology2022

Pooled genetic screens with image-based profiling.

Russell T Walton, Avtar Singh, Paul C Blainey

Open access · goldAbstract readReview
In one paragraph

Review in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  18. A genome-wide atlas of human cell morphology.bioRxiv : the preprint server for biology · 2023
    Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Russell T WaltonBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-0546-474X
Avtar SinghBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Paul C BlaineyBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0002-4889-8783
Broad Institute · US

Funding

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 R01 HG009283
6 · The paper itself

Abstract

Spatial structure in biology, spanning molecular, organellular, cellular, tissue, and organismal scales, is encoded through a combination of genetic and epigenetic factors in individual cells. Microscopy remains the most direct approach to exploring the intricate spatial complexity defining biological systems and the structured dynamic responses of these systems to perturbations. Genetic screens with deep single-cell profiling via image features or gene expression programs have the capacity to show how biological systems work in detail by cataloging many cellular phenotypes with one experimental assay. Microscopy-based cellular profiling provides information complementary to next-generation sequencing (NGS) profiling and has only recently become compatible with large-scale genetic screens. Optical screening now offers the scale needed for systematic characterization and is poised for further scale-up. We discuss how these methodologies, together with emerging technologies for genetic perturbation and microscopy-based multiplexed molecular phenotyping, are powering new approaches to reveal genotype-phenotype relationships.

Indexed as

Genetic TestingHigh-Throughput Nucleotide SequencingMicroscopymorphological profilingmultiplexed imagingoptical microscopy profilingoptical screeningpooled genetic screening

Identifiers

PMID36366905
PMCPMC9650298
OpenAlexW4308804054

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.