Evidence map›Paper›PMID 31699133›Full record

ArticleGenome biology2019

CRUP: a comprehensive framework to predict condition-specific regulatory units.

Anna Ramisch, Verena Heinrich, Laura V Glaser, Alisa Fuchs, Xinyi Yang, Philipp Benner, Robert Schöpflin, Na Li, Sarah Kinkley, Anja Römer-Hillmann and 16 more

Abstract readValidation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Modeling strategies forBioinformatics advances · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

26 authors.

Anna RamischDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Verena HeinrichDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Laura V GlaserDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Alisa FuchsOtto-Warburg-Laboratory, Computational Epigenomics, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Xinyi YangOtto-Warburg-Laboratory, Computational Epigenomics, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Philipp BennerDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Robert SchöpflinDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Na LiOtto-Warburg-Laboratory, Computational Epigenomics, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Sarah KinkleyOtto-Warburg-Laboratory, Computational Epigenomics, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Anja Römer-HillmannInstitute of Musculoskeletal Medicine, University Hospital Münster, Münster, 48149, Germany.
John LonginottoDepartment of Epigenetics, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 78108, Germany.
Steffen HeyneDepartment of Epigenetics, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 78108, Germany.
Beate CzepukojcDepartment of Pharmacy, Pharmaceutical Biology, University of Saarland, Saarbrücken, 66041, Germany.
Sonja M KesslerDepartment of Pharmacy, Pharmaceutical Biology, University of Saarland, Saarbrücken, 66041, Germany.
Alexandra K KiemerDepartment of Pharmacy, Pharmaceutical Biology, University of Saarland, Saarbrücken, 66041, Germany.
Cristina CadenasLeibniz-Institut für Arbeitsforschung (ifADo), Dortmund, 44139, Germany.
Laura ArrigoniDepartment of Epigenetics, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 78108, Germany.
Nina GasparoniDepartment of Genetics, University of Saarland, Saarbrücken, 66123, Germany.
Thomas MankeDepartment of Epigenetics, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 78108, Germany.
Thomas PapInstitute of Musculoskeletal Medicine, University Hospital Münster, Münster, 48149, Germany.
John A PospisilikDepartment of Epigenetics, Max Planck Institute of Immunobiology and Epigenetics, Freiburg, 78108, Germany.
Jan HengstlerLeibniz-Institut für Arbeitsforschung (ifADo), Dortmund, 44139, Germany.
Jörn WalterDepartment of Genetics, University of Saarland, Saarbrücken, 66123, Germany.
Sebastiaan H MeijsingDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Ho-Ryun ChungOtto-Warburg-Laboratory, Computational Epigenomics, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany.
Martin VingronDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, 14195, Germany. vingron@molgen.mpg.de.ORCID 0000-0002-1765-4241

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the software Condition-specific Regulatory Units Prediction (CRUP) to infer from epigenetic marks a list of regulatory units consisting of dynamically changing enhancers with their target genes. The workflow consists of a novel pre-trained enhancer predictor that can be reliably applied across cell types and species, solely based on histone modification ChIP-seq data. Enhancers are subsequently assigned to different conditions and correlated with gene expression to derive regulatory units. We thoroughly test and then apply CRUP to a rheumatoid arthritis model, identifying enhancer-gene pairs comprising known disease genes as well as new candidate genes.

Indexed as

Enhancer Elements, GeneticSoftwareAnimalsArthritis, ExperimentalArthritis, RheumatoidChromatin Immunoprecipitation SequencingHistone CodeMice3D interactionDifferential analysisEnhancer dynamicsEnhancer predictionEpigeneticsGene regulationHistone modificationRandom forest

Identifiers

PMID31699133
PMCPMC6839171

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.