Evidence map›Paper›PMID 35103592›Full record

ArticleeLife2022

Time-resolved single-cell sequencing identifies multiple waves of mRNA decay during the mitosis-to-G1 phase transition.

Lenno Krenning, Stijn Sonneveld, Marvin E Tanenbaum

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 40 citations in OpenAlex.

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  10. The Kinetic Intron Hypothesis.bioRxiv : the preprint server for biology · 2026
    Article
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  16. A concise guide to fluorescent cell cycle reporters for live-cell imaging.Frontiers in cell and developmental biology · 2025
    Review
  17. Article
  18. Article
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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 at 1 institution in 1 country.

Lenno Krenning *Oncode Institute, Hubrecht Institute - KNAW and University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0001-6696-0512
Stijn Sonneveld *Oncode Institute, Hubrecht Institute - KNAW and University Medical Center Utrecht, Utrecht, Netherlands.
Marvin E TanenbaumOncode Institute, Hubrecht Institute - KNAW and University Medical Center Utrecht, Utrecht, Netherlands.ORCID https://orcid.org/0000-0001-8762-0090
University Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate control of the cell cycle is critical for development and tissue homeostasis, and requires precisely timed expression of many genes. Cell cycle gene expression is regulated through transcriptional and translational control, as well as through regulated protein degradation. Here, we show that widespread and temporally controlled mRNA decay acts as an additional mechanism for gene expression regulation during the cell cycle in human cells. We find that two waves of mRNA decay occur sequentially during the mitosis-to-G1 phase transition, and we identify the deadenylase CNOT1 as a factor that contributes to mRNA decay during this cell cycle transition. Collectively, our data show that, akin to protein degradation, scheduled mRNA decay helps to reshape cell cycle gene expression as cells move from mitosis into G1 phase.

Indexed as

Cell CycleCell LineGene Expression RegulationHEK293 CellsHumansRNA StabilitySequence Analysis, RNATranscription FactorsCNOT1 protein, humanTranscription Factorscell biologycell cyclechromosomesgene expressiongene regulationhumanmRNA decaysingle-cell sequencing

Identifiers

PMID35103592
PMCPMC8806192
OpenAlexW4210361290

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.