Evidence map›Paper›PMID 27984734›Full record

ArticleCell2016

Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq.

Diego Adhemar Jaitin, Assaf Weiner, Ido Yofe, David Lara-Astiaso, Hadas Keren-Shaul, Eyal David, Tomer Meir Salame, Amos Tanay, Alexander van Oudenaarden, Ido Amit

Abstract read
PubMed Publisher
In one paragraph

Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 456 papers.

0numbers the graph read from it
0cells of the map it votes in
456citing 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

456 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. ScalablebioRxiv : the preprint server for biology · 2026
    Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Decoding neurodegeneration one cell at a time.The Journal of clinical investigation · 2026
    Review
  18. Article
  19. Review
  20. Article

396 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.

Diego Adhemar JaitinDepartment of Immunology, Weizmann Institute, Rehovot 76100, Israel.
Assaf WeinerDepartment of Immunology, Weizmann Institute, Rehovot 76100, Israel; Hubrecht Institute-KNAW, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands.
Ido YofeDepartment of Immunology, Weizmann Institute, Rehovot 76100, Israel.
David Lara-AstiasoDepartment of Immunology, Weizmann Institute, Rehovot 76100, Israel.
Hadas Keren-ShaulDepartment of Immunology, Weizmann Institute, Rehovot 76100, Israel.
Eyal DavidDepartment of Immunology, Weizmann Institute, Rehovot 76100, Israel.
Tomer Meir SalameFlow Cytometry Unit, Department of Biological Services, Weizmann Institute of Science, Rehovot 76100, Israel.
Amos TanayDepartment of Computer Science and Applied Mathematics, Department of Biological Regulation, Weizmann Institute, Rehovot 76100, Israel.
Alexander van OudenaardenHubrecht Institute-KNAW, Royal Netherlands Academy of Arts and Sciences, 3584 CT Utrecht, the Netherlands.
Ido AmitDepartment of Immunology, Weizmann Institute, Rehovot 76100, Israel. Electronic address: ido.amit@weizmann.ac.il.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multicellular organisms, dedicated regulatory circuits control cell type diversity and responses. The crosstalk and redundancies within these circuits and substantial cellular heterogeneity pose a major research challenge. Here, we present CRISP-seq, an integrated method for massively parallel single-cell RNA sequencing (RNA-seq) and clustered regularly interspaced short palindromic repeats (CRISPR)-pooled screens. We show that profiling the genomic perturbation and transcriptome in the same cell enables us to simultaneously elucidate the function of multiple factors and their interactions. We applied CRISP-seq to probe regulatory circuits of innate immunity. By sampling tens of thousands of perturbed cells in vitro and in mice, we identified interactions and redundancies between developmental and signaling-dependent factors. These include opposing effects of Cebpb and Irf8 in regulating the monocyte/macrophage versus dendritic cell lineages and differential functions for Rela and Stat1/2 in monocyte versus dendritic cell responses to pathogens. This study establishes CRISP-seq as a broadly applicable, comprehensive, and unbiased approach for elucidating mammalian regulatory circuits.

Indexed as

AnimalsCCAAT-Enhancer-Binding Protein-betaClustered Regularly Interspaced Short Palindromic RepeatsDendritic CellsInflammationMacrophagesMice, Inbred C57BLMonocytesSequence Analysis, RNASingle-Cell AnalysisCCAAT-Enhancer-Binding Protein-betaCRISPR/Cas9functional genomicsgene networksgenetic screenimmune responseinnate immunityRNA-seqsingle-cell RNA-seqtranscriptomics

Identifiers

What OpenQuestion holds

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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.