Evidence map›Paper›PMID 40975871›Full record

ArticleSTAR protocols2025

Protocol for pooled FACS-based CRISPR knockout screening in human iPSC-derived microglia.

Sam J Washer, Elena Navarro-Guerrero, Sally A Cowley, Daniel V Ebner, Andrew R Bassett

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Sam J WasherWellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SA, UK; James and Lillian Martin Centre for Stem Cell Research, Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK; Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford OX3 7FZ, UK. Electronic address: sam.washer@cmd.ox.ac.uk.
Elena Navarro-GuerreroTarget Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford OX3 7FZ, UK.
Sally A CowleyJames and Lillian Martin Centre for Stem Cell Research, Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford OX1 3RE, UK.
Daniel V EbnerTarget Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford OX3 7FZ, UK.
Andrew R BassettWellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK; Open Targets, Wellcome Genome Campus, Hinxton CB10 1SA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present a protocol for CRISPR knockout screening in human induced pluripotent stem cell (hiPSC)-derived microglia (iMGL) using lentiviral delivery of CRISPR-Cas9 and co-transduction of VPX virus-like particles (VPX-VLPs). We first describe large-scale production of iMGL from hiPSCs, production of the lentiviral and VPX-VLP libraries, and titration. Next, we describe how to perform a pooled CRISPR screen for phagocytosis including the computational analysis pipeline of CRISPR screening data. For complete details on the use and execution of this protocol, please refer to Perez-Alcantara et al.

Indexed as

CRISPR-Cas SystemsFlow CytometryGene Knockout TechniquesInduced Pluripotent Stem CellsMicrogliaHumansLentivirusPhagocytosiscell cultureCRISPRhigh-throughput screeningsequencingstem cells

Identifiers

PMID40975871
PMCPMC12483672

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.