Evidence map›Paper›PMID 34606497›Full record

ArticlePLoS computational biology2021

Regulation of transcription reactivation dynamics exiting mitosis.

Sergio Sarnataro, Andrea Riba, Nacho Molina

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Maintaining Transcriptional Specificity Through Mitosis.Annual review of genomics and human genetics · 2022
    Review
  5. Review
  6. 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

3 authors.

Sergio SarnataroInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC) Université de Strasbourg - CNRS - INSERM, Illkirch, France.ORCID 0000-0002-6001-9892
Andrea RibaInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC) Université de Strasbourg - CNRS - INSERM, Illkirch, France.ORCID 0000-0002-6920-4592
Nacho MolinaInstitut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC) Université de Strasbourg - CNRS - INSERM, Illkirch, France.ORCID 0000-0003-0233-3055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proliferating cells experience a global reduction of transcription during mitosis, yet their cell identity is maintained and regulatory information is propagated from mother to daughter cells. Mitotic bookmarking by transcription factors has been proposed as a potential mechanism to ensure the reactivation of transcription at the proper set of genes exiting mitosis. Recently, mitotic transcription and waves of transcription reactivation have been observed in synchronized populations of human hepatoma cells. However, the study did not consider that mitotic-arrested cell populations progressively desynchronize leading to measurements of gene expression on a mixture of cells at different internal cell-cycle times. Moreover, it is not well understood yet what is the precise role of mitotic bookmarking on mitotic transcription as well as on the transcription reactivation waves. Ultimately, the core gene regulatory network driving the precise transcription reactivation dynamics remains to be identified. To address these questions, we developed a mathematical model to correct for the progressive desynchronization of cells and estimate gene expression dynamics with respect to a cell-cycle pseudotime. Furthermore, we used a multiple linear regression model to infer transcription factor activity dynamics. Our analysis allows us to characterize waves of transcription factor activities exiting mitosis and predict a core gene regulatory network responsible of the transcription reactivation dynamics. Moreover, we identified more than 60 transcription factors that are highly active during mitosis and represent new candidates of mitotic bookmarking factors which could be relevant therapeutic targets to control cell proliferation.

Indexed as

Cell Line, TumorCell ProliferationComputational BiologyGene Expression RegulationHumansMitosisTranscription FactorsTranscription, GeneticTranscriptomeTranscription Factors

Identifiers

PMID34606497
PMCPMC8516288

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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.