Evidence map›Paper›PMID 29039415›Full record

ArticleNature methods2017

CRISPR-UMI: single-cell lineage tracing of pooled CRISPR-Cas9 screens.

Georg Michlits, Maria Hubmann, Szu-Hsien Wu, Gintautas Vainorius, Elena Budusan, Sergei Zhuk, Thomas R Burkard, Maria Novatchkova, Martin Aichinger, Yiqing Lu and 5 more

Abstract read
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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 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Scaling perturbations: beyond genome-scale CRISPR screens.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Genetic mechanisms of resistance to targeted KRAS inhibition.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Advances in CRISPR-Cas9 in lineage tracing of model animals.Animal models and experimental medicine · 2025
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Tracking Somatic Mutations for Lineage Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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

15 authors.

Georg MichlitsInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Maria HubmannInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Szu-Hsien WuInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Gintautas VainoriusInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Elena BudusanInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Sergei ZhukInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Thomas R BurkardInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Maria NovatchkovaInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.
Martin AichingerResearch Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC),Vienna, Austria.
Yiqing LuCenter for Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
John Reece-HoyesNovartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA.
Roberto NitschDiscovery Sciences RAD, AstraZeneca R&D, Gothenburg, Sweden.
Daniel SchramekCenter for Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Dominic HoepfnerNovartis Institutes for BioMedical Research, Basel, Switzerland.ORCID http://orcid.org/0000-0001-8450-7543
Ulrich EllingInstitute of Molecular Biotechnology of the Austrian Academy of Science (IMBA), Vienna Biocenter (VBC), Vienna, Austria.ORCID http://orcid.org/0000-0002-4514-2809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pooled CRISPR screens are a powerful tool for assessments of gene function. However, conventional analysis is based exclusively on the relative abundance of integrated single guide RNAs (sgRNAs) between populations, which does not discern distinct phenotypes and editing outcomes generated by identical sgRNAs. Here we present CRISPR-UMI, a single-cell lineage-tracing methodology for pooled screening to account for cell heterogeneity. We generated complex sgRNA libraries with unique molecular identifiers (UMIs) that allowed for screening of clonally expanded, individually tagged cells. A proof-of-principle CRISPR-UMI negative-selection screen provided increased sensitivity and robustness compared with conventional analysis by accounting for underlying cellular and editing-outcome heterogeneity and detection of outlier clones. Furthermore, a CRISPR-UMI positive-selection screen uncovered new roadblocks in reprogramming mouse embryonic fibroblasts as pluripotent stem cells, distinguishing reprogramming frequency and speed (i.e., effect size and probability). CRISPR-UMI boosts the predictive power, sensitivity, and information content of pooled CRISPR screens.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsGene EditingRNA, Guide, CRISPR-Cas SystemsAnimalsCell LineageCells, CulturedCRISPR-Cas SystemsFibroblastsGene Knockout TechniquesGenetic VectorsMicePluripotent Stem CellsRetroviridaeSignal-To-Noise RatioSingle-Cell AnalysisRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID29039415

What OpenQuestion holds

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Registered trials

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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.