Evidence map›Paper›PMID 35020268›Full record

ArticleMolecular systems biology2022

Distinct transcription kinetics of pluripotent cell states.

Rui Shao, Banushree Kumar, Katja Lidschreiber, Michael Lidschreiber, Patrick Cramer, Simon J Elsässer

Abstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. 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

6 authors.

Rui ShaoScience for Life Laboratory, Department of Medical Biochemistry and Biophysics, Division of Genome Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7388-851X
Banushree KumarScience for Life Laboratory, Department of Medical Biochemistry and Biophysics, Division of Genome Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-9200-6773
Katja LidschreiberDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Michael LidschreiberDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.ORCID 0000-0002-6740-2755
Patrick CramerDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.ORCID 0000-0001-5454-7755
Simon J ElsässerScience for Life Laboratory, Department of Medical Biochemistry and Biophysics, Division of Genome Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8724-4849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mouse embryonic stem cells (mESCs) can adopt naïve, ground, and paused pluripotent states that give rise to unique transcriptomes. Here, we use transient transcriptome sequencing (TT-seq) to define both coding and non-coding transcription units (TUs) in these three pluripotent states and combine TT-seq with RNA polymerase II occupancy profiling to unravel the kinetics of RNA metabolism genome-wide. Compared to the naïve state (serum), RNA synthesis and turnover rates are globally reduced in the ground state (2i) and the paused state (mTORi). The global reduction in RNA synthesis goes along with a genome-wide decrease of polymerase elongation velocity, which is related to epigenomic features and alterations in the Pol II termination window. Our data suggest that transcription activity is the main determinant of steady state mRNA levels in the naïve state and that genome-wide changes in transcription kinetics invoke ground and paused pluripotent states.

Indexed as

RNA Polymerase IITranscriptomeAnimalsKineticsMiceMouse Embryonic Stem CellsRNA, MessengerRNA, MessengerRNA Polymerase IImouse pluripotent stem cellstranscription terminationtranscription unit annotationtranscription velocitytransient transcriptome sequencing

Identifiers

PMID35020268
PMCPMC8754154

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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.