ReviewNature protocols2026
Targeted single-cell RNA and perturbation sequencing with TAP-seq.
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- High-Content CRISPR Screening: Methods and Applications.MedComm · 2026Review
- Targeted Perturb-seq enables genome-scale genetic screens in single cells.Nature methods · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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
42191976What OpenQuestion holds
Registered trials
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.