Evidence map›Paper›PMID 28099430›Full record

ArticleNature methods2017

Pooled CRISPR screening with single-cell transcriptome readout.

Paul Datlinger, André F Rendeiro, Christian Schmidl, Thomas Krausgruber, Peter Traxler, Johanna Klughammer, Linda C Schuster, Amelie Kuchler, Donat Alpar, Christoph Bock

Abstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 668 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
668citing papers in PubMed, 1 pooled it
–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

668 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Canon enables causal inference of downstream genes in single-cell CRISPR studies via instrumental variable analysis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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608 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Paul DatlingerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
André F Rendeiro *CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Christian Schmidl *CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Thomas KrausgruberCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Peter TraxlerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Johanna KlughammerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Linda C SchusterCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Amelie KuchlerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Donat AlparCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Christoph BockCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

Funding

Austrian Science Fund FWF I 1626European Research Council 679146
6 · The paper itself

Abstract

CRISPR-based genetic screens are accelerating biological discovery, but current methods have inherent limitations. Widely used pooled screens are restricted to simple readouts including cell proliferation and sortable marker proteins. Arrayed screens allow for comprehensive molecular readouts such as transcriptome profiling, but at much lower throughput. Here we combine pooled CRISPR screening with single-cell RNA sequencing into a broadly applicable workflow, directly linking guide RNA expression to transcriptome responses in thousands of individual cells. Our method for CRISPR droplet sequencing (CROP-seq) enables pooled CRISPR screens with single-cell transcriptome resolution, which will facilitate high-throughput functional dissection of complex regulatory mechanisms and heterogeneous cell populations.

Indexed as

Cell LineCell ProliferationClustered Regularly Interspaced Short Palindromic RepeatsGene Expression ProfilingHEK293 CellsHigh-Throughput Nucleotide SequencingHumansRNA, Guide, CRISPR-Cas SystemsSequence Analysis, RNASingle-Cell AnalysisTranscriptomeRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID28099430
PMCPMC5334791

What OpenQuestion holds

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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.