Evidence map›Paper›PMID 39939709›Full record

ReviewNature protocols2025

Massively parallel in vivo Perturb-seq screening.

Xinhe Zheng, Patrick C Thompson, Cassandra M White, Xin Jin

Abstract readReview
In one paragraph

Review in Nature protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. In Vivo T-Cell Engineering: Revolution in Delivery Strategies and Clinical Translation.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  5. Article
  6. bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Probing neuropsychiatric disorders through in vivo CRISPR screening.Current opinion in genetics & development · 2026
    Review
  9. Review
  10. Article
  11. Cutting-edge technologies in neural regeneration.Cell regeneration (London, England) · 2025
    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

4 authors.

Xinhe ZhengDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research, La Jolla, CA, USA.ORCID 0000-0002-4388-6724
Patrick C ThompsonDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research, La Jolla, CA, USA.ORCID 0009-0006-2755-2819
Cassandra M WhiteDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research, La Jolla, CA, USA.ORCID 0000-0002-6697-4321
Xin JinDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research, La Jolla, CA, USA. xinjin@scripps.edu.ORCID 0000-0003-2344-992X

Funding

In vivo Perturb-map: scalable genetic screens with single-cell and spatial resolution in intact tissuesR01HG012819 · NHGRI · SCRIPPS RESEARCH INSTITUTE, THE · PI Xin Jin · 2023 to 2026
$3.0M
Scalable functional analysis of neuropsychiatric risk genes with spatially integrated in vivo Perturb-seqR01MH137042 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI Xin Jin, Joshua Zvi Levin · 2024 to 2026
$2.7M
Esther A. and Joseph Klingenstein Fund (Esther A. & Joseph Klingenstein Fund, Inc.) Klingenstein-Simons Fellowship AwardG. Harold and Leila Y. Mathers Foundation (G. Harold & Leila Y. Mathers Foundation) Mathers Foundation AwardLarry L. Hillblom Foundation (Larry L. Hillblom Foundation, Inc.) Start-up AwardMcKnight Endowment Fund for Neuroscience McKnight ScholarNHGRI NIH HHS R01 HG012819NIMH NIH HHS R01 MH137042Pew Charitable Trusts Pew Biomedical ScholarSimons Foundation SFARI 736613U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG012819U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH137042
6 · The paper itself

Abstract

Advances in genomics have identified thousands of risk genes impacting human health and diseases, but the functions of these genes and their mechanistic contribution to disease are often unclear. Moving beyond identification to actionable biological pathways requires dissecting risk gene function and cell type-specific action in intact tissues. This gap can in part be addressed by in vivo Perturb-seq, a method that combines state-of-the-art gene editing tools for programmable perturbation of genes with high-content, high-resolution single-cell genomic assays as phenotypic readouts. Here we describe a detailed protocol to perform massively parallel in vivo Perturb-seq using several versatile adeno-associated virus (AAV) vectors and provide guidance for conducting successful downstream analyses. Expertise in mouse work, AAV production and single-cell genomics is required. We discuss key parameters for designing in vivo Perturb-seq experiments across diverse biological questions and contexts. We further detail the step-by-step procedure, from designing a perturbation library to producing and administering AAV, highlighting where quality control checks can offer critical go-no-go points for this time- and cost-expensive method. Finally, we discuss data analysis options and available software. In vivo Perturb-seq has the potential to greatly accelerate functional genomics studies in mammalian systems, and this protocol will help others adopt it to answer a broad array of biological questions. From guide RNA design to tissue collection and data collection, this protocol is expected to take 9-15 weeks to complete, followed by data analysis.

Indexed as

Gene EditingGenomicsHigh-Throughput Nucleotide SequencingAnimalsDependovirusGenetic VectorsHumansMiceSingle-Cell Analysis

Identifiers

PMID39939709
PMCPMC12237601

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.