Evidence map›Paper›PMID 41726924›Full record

ArticlebioRxiv : the preprint server for biology2026

Genome-wide single-cell perturbation screens with VIPerturb-seq.

Alexandra Bradu, John D Blair, Isabella N Grabski, Isabella Mascio, Junsuk Lee, Cecilia McCormick, Rahul Satija

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Alexandra BraduNew York Genome Center, New York, NY.ORCID 0000-0002-2237-034X
John D BlairNew York Genome Center, New York, NY.ORCID 0000-0001-7517-6148
Isabella N GrabskiNew York Genome Center, New York, NY.ORCID 0000-0002-0616-5469
Isabella MascioNew York Genome Center, New York, NY.ORCID 0000-0003-4794-5741
Junsuk LeeNew York Genome Center, New York, NY.
Cecilia McCormickNew York Genome Center, New York, NY.ORCID 0009-0007-4190-6641
Rahul SatijaNew York Genome Center, New York, NY.ORCID 0000-0001-9448-8833

Funding

Comprehensive reference atlas construction, geolocation and data integration for HuBMAP HIVE [5 of 5]OT2OD033760 · OD · NEW YORK GENOME CENTER · PI SATIJA, RAHUL · 2022 to 2025
$6.1M
Single-Cell Multi-omics to Link Clonal Mosaicism (CM) Genotypes with Chromatin, Epigenomic, Transcriptomic and Protein PhenotypesUH3NS132139 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Dan Landau, Rahul Satija · 2025 to 2026
$1.4M
NIH HHS OT2 OD033760NINDS NIH HHS UH3 NS132139
6 · The paper itself

Abstract

CRISPR-based screening combined with single-cell sequencing (i.e. Perturb-seq) enables systematic mapping of genetic perturbations to molecular phenotypes. While Perturb-seq is well-suited to profile targeted subsets of regulators, scaling to genome-wide screens presents substantial cost and throughput challenges. Here we introduce VIPerturb-seq, a platform to facilitate routine genome-wide Perturb-seq experiments using probe-based detection workflows. We describe a split probe strategy for detection of genome-wide CRISPR libraries in fixed cells that enables (i) optional support for phenotypic enrichment of Very Important Perturbations (VIP) prior to single-cell profiling, and (ii) compatibility with combinatorial indexing workflows to further improve Perturb-seq throughput by 50-fold. Using a genome-wide CRISPRi library (GuEST-List), we demonstrate VIPerturb-seq on two genome-wide screens representing both unbiased and phenotypically enriched workflows. Our results demonstrate how the sensitivity, scalability, and efficiency of VIPerturb-seq can enable both individual labs with targeted research questions and large data generation platforms aiming to construct virtual cells.

Identifiers

PMID41726924
PMCPMC12919025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.