Evidence map›Paper›PMID 33502116›Full record

ArticleMolecular systems biology2021

Transcriptionally active enhancers in human cancer cells.

Katja Lidschreiber, Lisa A Jung, Henrik von der Emde, Kashyap Dave, Jussi Taipale, Patrick Cramer, Michael Lidschreiber

Abstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. TheiScience · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The metastasis landscape ofFrontiers in immunology · 2026
    Article
  8. Improving confidence of differential transcription calls in enhancers.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Efficient profiling of total RNA in single cells with STORM-seq.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

7 authors.

Katja LidschreiberDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID 0000-0001-6319-1076
Lisa A JungDepartment of Biosciences and Nutrition, Karolinska Institutet, NEO, Huddinge, Sweden.ORCID 0000-0003-4149-1662
Henrik von der EmdeDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID 0000-0002-3188-6612
Kashyap DaveDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Biomedicum, Solna, Sweden.ORCID 0000-0003-0332-8362
Jussi TaipaleDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Biomedicum, Solna, Sweden.ORCID 0000-0003-4204-0951
Patrick CramerDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID 0000-0001-5454-7755
Michael LidschreiberDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID 0000-0002-6740-2755

Funding

Cancer Research UK 28801Medical Research Council MR/V000500/1
6 · The paper itself

Abstract

The growth of human cancer cells is driven by aberrant enhancer and gene transcription activity. Here, we use transient transcriptome sequencing (TT-seq) to map thousands of transcriptionally active putative enhancers in fourteen human cancer cell lines covering seven types of cancer. These enhancers were associated with cell type-specific gene expression, enriched for genetic variants that predispose to cancer, and included functionally verified enhancers. Enhancer-promoter (E-P) pairing by correlation of transcription activity revealed ~ 40,000 putative E-P pairs, which were depleted for housekeeping genes and enriched for transcription factors, cancer-associated genes, and 3D conformational proximity. The cell type specificity and transcription activity of target genes increased with the number of paired putative enhancers. Our results represent a rich resource for future studies of gene regulation by enhancers and their role in driving cancerous cell growth.

Indexed as

Enhancer Elements, GeneticCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHCT116 CellsHumansMutationNeoplasmsOrgan SpecificitySequence Analysis, DNASequence Analysis, RNATranscriptional ActivationcancerenhancerseRNAstranscriptionTT-seq

Identifiers

PMID33502116
PMCPMC7838827

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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.