Evidence map›Paper›PMID 34556693›Full record

ArticleScientific reports2021

Joint changes in RNA, RNA polymerase II, and promoter activity through the cell cycle identify non-coding RNAs involved in proliferation.

Siv Anita Hegre, Helle Samdal, Antonin Klima, Endre B Stovner, Kristin G Nørsett, Nina Beate Liabakk, Lene Christin Olsen, Konika Chawla, Per Arne Aas, Pål Sætrom

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 31% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. eLife · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

10 authors at 1 institution in 1 country.

Siv Anita Hegre *Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Helle Samdal *Department of Computer Science, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Antonin KlimaDepartment of Computer Science, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Endre B StovnerDepartment of Computer Science, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Kristin G NørsettDepartment of Computer Science, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Nina Beate LiabakkDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Lene Christin OlsenDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Konika ChawlaDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Per Arne AasDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway.
Pål SætromDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491, Trondheim, Norway. pal.satrom@ntnu.no.
Norwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proper regulation of the cell cycle is necessary for normal growth and development of all organisms. Conversely, altered cell cycle regulation often underlies proliferative diseases such as cancer. Long non-coding RNAs (lncRNAs) are recognized as important regulators of gene expression and are often found dysregulated in diseases, including cancers. However, identifying lncRNAs with cell cycle functions is challenging due to their often low and cell-type specific expression. We present a highly effective method that analyses changes in promoter activity, transcription, and RNA levels for identifying genes enriched for cell cycle functions. Specifically, by combining RNA sequencing with ChIP sequencing through the cell cycle of synchronized human keratinocytes, we identified 1009 genes with cell cycle-dependent expression and correlated changes in RNA polymerase II occupancy or promoter activity as measured by histone 3 lysine 4 trimethylation (H3K4me3). These genes were highly enriched for genes with known cell cycle functions and included 57 lncRNAs. We selected four of these lncRNAs-SNHG26, EMSLR, ZFAS1, and EPB41L4A-AS1-for further experimental validation and found that knockdown of each of the four lncRNAs affected cell cycle phase distributions and reduced proliferation in multiple cell lines. These results show that many genes with cell cycle functions have concomitant cell-cycle dependent changes in promoter activity, transcription, and RNA levels and support that our multi-omics method is well suited for identifying lncRNAs involved in the cell cycle.

Indexed as

Cell CycleCell ProliferationChromatin Immunoprecipitation SequencingGene Knockdown TechniquesHaCaT CellsHumansPromoter Regions, GeneticRNA, Long NoncodingRNA Polymerase IIRNA-SeqRNA, Long NoncodingRNA Polymerase II

Identifiers

PMID34556693
PMCPMC8460802
OpenAlexW3201573123

What Socratic 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 Socratic graph.