Evidence map›Paper›PMID 37443338›Full record

ArticleNature methods2023

SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks.

Carmen Bravo González-Blas, Seppe De Winter, Gert Hulselmans, Nikolai Hecker, Irina Matetovici, Valerie Christiaens, Suresh Poovathingal, Jasper Wouters, Sara Aibar, Stein Aerts

Abstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 501 papers.

0numbers the graph read from it
0cells of the map it votes in
501citing 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

501 citing papers in PubMed.

  1. Inferring Gene Regulatory Networks in Stem Cells: Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2027
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Upadacitinib Restrains the Pathogenic Fitness of CD4Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

441 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

10 authors.

Carmen Bravo González-Blas *VIB Center for Brain & Disease Research, Leuven, Belgium.
Seppe De Winter *VIB Center for Brain & Disease Research, Leuven, Belgium.ORCID http://orcid.org/0000-0001-7907-1247
Gert HulselmansVIB Center for Brain & Disease Research, Leuven, Belgium.
Nikolai HeckerVIB Center for Brain & Disease Research, Leuven, Belgium.ORCID http://orcid.org/0000-0003-1693-4257
Irina MatetoviciVIB Center for Brain & Disease Research, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4873-0040
Valerie ChristiaensVIB Center for Brain & Disease Research, Leuven, Belgium.
Suresh PoovathingalVIB Center for Brain & Disease Research, Leuven, Belgium.
Jasper WoutersVIB Center for Brain & Disease Research, Leuven, Belgium.ORCID http://orcid.org/0000-0002-7129-2990
Sara AibarVIB Center for Brain & Disease Research, Leuven, Belgium.
Stein AertsVIB Center for Brain & Disease Research, Leuven, Belgium. stein.aerts@kuleuven.be.ORCID http://orcid.org/0000-0002-8006-0315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Joint profiling of chromatin accessibility and gene expression in individual cells provides an opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present a method for the inference of enhancer-driven GRNs, called SCENIC+. SCENIC+ predicts genomic enhancers along with candidate upstream transcription factors (TFs) and links these enhancers to candidate target genes. To improve both recall and precision of TF identification, we curated and clustered a motif collection with more than 30,000 motifs. We benchmarked SCENIC+ on diverse datasets from different species, including human peripheral blood mononuclear cells, ENCODE cell lines, melanoma cell states and Drosophila retinal development. Next, we exploit SCENIC+ predictions to study conserved TFs, enhancers and GRNs between human and mouse cell types in the cerebral cortex. Finally, we use SCENIC+ to study the dynamics of gene regulation along differentiation trajectories and the effect of TF perturbations on cell state. SCENIC+ is available at scenicplus.readthedocs.io .

Indexed as

Gene Regulatory NetworksMultiomicsAnimalsChromatinDrosophilaEnhancer Elements, GeneticGene Expression RegulationHumansLeukocytes, MononuclearMiceChromatin

Identifiers

PMID37443338
PMCPMC10482700

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.