Evidence map›Paper›PMID 42191976›Full record

ReviewNature protocols2026

Targeted single-cell RNA and perturbation sequencing with TAP-seq.

Dewi P I Moonen, Daniel Schraivogel, Andreas R Gschwind, Lars M Steinmetz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Dewi P I Moonen *European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-7113-698X
Daniel Schraivogel *European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-5734-6980
Andreas R Gschwind *Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-0769-6907
Lars M SteinmetzEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany. lars.steinmetz@embl.de.ORCID http://orcid.org/0000-0002-3962-2865

Funding

Stanford Center for Connecting DNA Variants to Function and PhenotypeUM1HG011972 · NHGRI · STANFORD UNIVERSITY · PI JESSE M ENGREITZ, THOMAS QUERTERMOUS · 2021 to 2026
$10.5M
Function-based exploration of genetic variation at genome-scaleR01HG011664 · NHGRI · STANFORD UNIVERSITY · PI STEINMETZ, LARS M · 2022 to 2025
$2.9M
U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HG011664U.S. Department of Health & Human Services | National Institutes of Health (NIH) UM1HG011972
6 · The paper itself

Abstract

Pooled genome editing combined with single-cell RNA sequencing-commonly known as Perturb-seq-has transformed the ability to interrogate genome function. However, whole-transcriptome single-cell RNA sequencing requires high sequencing depth to achieve the sensitivity needed for functional genomics screens, limiting its widespread use owing to prohibitive cost. Here we describe a detailed and updated protocol for targeted Perturb-seq (TAP-seq), a method that addresses the sensitivity and cost limitations of Perturb-seq. Instead of capturing the whole transcriptome, TAP-seq focuses on quantifying hundreds of transcripts of interest. The TAP-seq workflow involves first selecting genes for targeted readout, designing primers, conducting an initial pilot experiment and finally performing the TAP-seq screen and analyzing the data. We provide comprehensive guidance on designing targeted readout strategies for TAP-seq and describe all steps of the protocol, starting with library preparation. The outcome of TAP-seq is single-cell measurements of selected gene and guide RNA expression levels, guide RNA assignments to individual cells and differential expression results revealing perturbation effects on target genes. We further include instructions for adapting TAP-seq to all currently available single-cell RNA-sequencing platforms. Prior experience in single-cell technologies is beneficial and the protocol described can be completed in 2 days (excluding data analysis). In summary, this protocol describes how to perform sensitive, scalable and cost-effective single-cell perturbation screens.

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.