Evidence map›Paper›PMID 37989654›Full record

ReviewTrends in genetics : TIG2024

Next-generation forward genetic screens: uniting high-throughput perturbations with single-cell analysis.

John A Morris, Jennifer S Sun, Neville E Sanjana

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. The changing landscape of gene expression analysis.Briefings in bioinformatics · 2026
    Review
  3. Review
  4. Article
  5. Functional Genomics: Principles and Methods.Advances in experimental medicine and biology · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Venous thromboembolic disease genetics: from variants to function.Journal of thrombosis and haemostasis : JTH · 2024
    Review
  16. Transcriptome-wide characterization of genetic perturbations.bioRxiv : the preprint server for biology · 2024
    Article
  17. Review
  18. Article
  19. 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.

John A MorrisNew York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA.
Jennifer S SunNew York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA.
Neville E SanjanaNew York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA. Electronic address: neville@sanjanalab.org.

Funding

Predicting the functional impact of non-coding mutations using patient-specific gene regulatory networksR01CA218668 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI EKTA KHURANA, Neville Sanjana · 2018 to 2026
$4.7M
Multiscale genome engineering to map cis-regulatory variants in human and mouseR01HG012790 · NHGRI · NEW YORK GENOME CENTER · PI Tuuli Lappalainen, Dan Littman · 2023 to 2026
$4.5M
In situ functional genomics to understand transcriptional regulationDP2HG010099 · NHGRI · NEW YORK GENOME CENTER · PI SANJANA, NEVILLE · 2017 to 2022
$4.4M
Enhancing Susceptibility of HIV Reservoirs to CTL Through a Discovery to Translational ApproachR01AI176601 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI R. Brad Jones, Neville Sanjana · 2023 to 2026
$3.3M
LTBR CARs as next-generation therapies for R/R lymphomaR01CA279135 · NCI · NEW YORK GENOME CENTER · PI Catherine Sibyl Diefenbach, Neville Sanjana · 2023 to 2026
$3.2M
Developmentally Regulated Enhancers and Chromatin Architecture in Human NeurogenesisR01NS124920 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Dimitris G. Placantonakis · 2022 to 2026
$2.7M
Organizational principles and functional role of 3D enhancer hubs in cell fate decisionsR01GM138635 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI APOSTOLOU, EFFIE · 2020 to 2023
$1.9M
Linking GWAS variants to function with single-cell pooled CRISPR screensK99HG012792 · NHGRI · NEW YORK GENOME CENTER · PI MORRIS, JOHN ALLAN · 2023 to 2024
$123k
NCI NIH HHS R01 CA218668NCI NIH HHS R01 CA279135NHGRI NIH HHS DP2 HG010099NHGRI NIH HHS K99 HG012792NHGRI NIH HHS R01 HG012790NIAID NIH HHS R01 AI176601NIGMS NIH HHS R01 GM138635NINDS NIH HHS R01 NS124920
6 · The paper itself

Abstract

Programmable genome-engineering technologies, such as CRISPR (clustered regularly interspaced short palindromic repeats) nucleases and massively parallel CRISPR screens that capitalize on this programmability, have transformed biomedical science. These screens connect genes and noncoding genome elements to disease-relevant phenotypes, but until recently have been limited to individual phenotypes such as growth or fluorescent reporters of gene expression. By pairing massively parallel screens with high-dimensional profiling of single-cell types/states, we can now measure how individual genetic perturbations or combinations of perturbations impact the cellular transcriptome, proteome, and epigenome. We review technologies that pair CRISPR screens with single-cell multiomics and the unique opportunities afforded by extending pooled screens using deep multimodal phenotyping.

Indexed as

CRISPR-Cas SystemsGene EditingClustered Regularly Interspaced Short Palindromic RepeatsGenetic TestingGenomeSingle-Cell AnalysisCRISPRfunctional genomicsgenome engineeringguide RNA capturemultimodal sequencingmultiomicssingle-cell sequencing

Identifiers

PMID37989654
PMCPMC10872607

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.