Evidence map›Paper›PMID 28991892›Full record

ArticleNature methods2017

SCENIC: single-cell regulatory network inference and clustering.

Sara Aibar, Carmen Bravo González-Blas, Thomas Moerman, Vân Anh Huynh-Thu, Hana Imrichova, Gert Hulselmans, Florian Rambow, Jean-Christophe Marine, Pierre Geurts, Jan Aerts and 4 more

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 4,048 papers.

0numbers the graph read from it
0cells of the map it votes in
4,048citing 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

4,048 citing papers in PubMed.

  1. Trial
  2. Inferring Gene Regulatory Networks in Stem Cells: Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
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  20. Drug Repurposing for Treating NCOR-Related Intellectual Disability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article

3,988 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

14 authors.

Sara AibarVIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0001-6104-7134
Carmen Bravo González-BlasVIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0003-0973-9410
Thomas MoermanKU Leuven ESAT/STADIUS, VDA-lab, Leuven, Belgium.ORCID http://orcid.org/0000-0003-2445-1001
Vân Anh Huynh-ThuDepartment of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium.
Hana ImrichovaVIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0003-0385-1823
Gert HulselmansVIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0003-2205-1899
Florian RambowVIB Center for Cancer Biology, Laboratory for Molecular Cancer Biology, Leuven, Belgium.
Jean-Christophe MarineVIB Center for Cancer Biology, Laboratory for Molecular Cancer Biology, Leuven, Belgium.
Pierre GeurtsDepartment of Electrical Engineering and Computer Science, University of Liège, Liège, Belgium.
Jan AertsKU Leuven ESAT/STADIUS, VDA-lab, Leuven, Belgium.ORCID http://orcid.org/0000-0002-6416-2717
Joost van den OordKU Leuven, Department of Imaging and Pathology Translational Cell and Tissue Research, Leuven, Belgium.
Zeynep Kalender AtakVIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0003-4761-8169
Jasper WoutersVIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0002-7129-2990
Stein AertsVIB Center for Brain & Disease Research, Laboratory of Computational Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0002-8006-0315

Funding

European Research Council 724226
6 · The paper itself

Abstract

We present SCENIC, a computational method for simultaneous gene regulatory network reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic.aertslab.org). On a compendium of single-cell data from tumors and brain, we demonstrate that cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states. SCENIC provides critical biological insights into the mechanisms driving cellular heterogeneity.

Indexed as

Gene Regulatory NetworksSingle-Cell AnalysisAlgorithmsAnimalsBrainCluster AnalysisGene Expression ProfilingHumansMice

Identifiers

PMID28991892
PMCPMC5937676

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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.