Evidence map›Paper›PMID 42185540›Full record

ArticleNature methods2026

Multiplexed perturbation enables scalable pooled screens.

Stefan Oberlin, Neil Q Tay, Albert Xue, Ruzbeh Mosadeghi, Harold Pimentel, Michael T McManus

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. A pooled image-based CRISPR screen identifies EAF1 as abioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. 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

6 authors.

Stefan OberlinDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-4577-9946
Neil Q TayDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-5643-050X
Albert XueBioinformatics Interdepartmental Program, UCLA, Los Angeles, CA, USA.
Ruzbeh MosadeghiDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9348-9594
Harold PimentelDepartment of Computer Science, UCLA, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-8556-2499
Michael T McManusDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA. michael.mcmanus@ucsf.edu.ORCID http://orcid.org/0000-0003-3013-6569

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Bay Area Cancer Target Discovery and DevelopmentU01CA272546 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sourav Bandyopadhyay, Trever G Bivona · 2022 to 2026
$4.8M
NCI NIH HHS U01 CA272546Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 188001U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 5U01CA272546-03U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) T32HG002536
6 · The paper itself

Abstract

CRISPR-based genetic perturbation screens have revolutionized the ability to link genes to cellular phenotypes with unprecedented precision and scale; however, conventional pooled CRISPR screens require large cell numbers to achieve adequate sgRNA representation, posing technical and financial challenges. Here, we investigate the impact of co-delivery of multiple guide RNAs via high multiplicity of infection (MOI) in pooled CRISPR interference screens as a strategy to enhance screening efficiency while reducing cell numbers. We systematically evaluate screen performance across varying MOIs, assessing the effects of multiplexing on knockdown efficiency, sgRNA representation and potential interference of multiple sgRNA phenotypes. Our data demonstrate that sgRNA multiplexing (MOI 2.5-10) can maintain screen performance while enabling significant reductions in cell number requirements. We further apply these optimized conditions to conduct a genome-wide CRISPR screen for regulators of the intracellular adhesion molecule ICAM-1, successfully identifying new candidates using as few as half a million cells. This study provides a framework for adopting multiplexed sgRNA strategies to streamline CRISPR screening applications in resource-limited settings.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsRNA, Guide, CRISPR-Cas SystemsGene Knockdown TechniquesHEK293 CellsHumansIntercellular Adhesion Molecule-1Intercellular Adhesion Molecule-1RNA, Guide, CRISPR-Cas Systems

Identifiers

What OpenQuestion holds

Textmetadata
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.