Evidence map›Paper›PMID 39548324›Full record

ArticleMolecular systems biology2024

Subcellular mRNA kinetic modeling reveals nuclear retention as rate-limiting.

David Steinbrecht, Igor Minia, Miha Milek, Johannes Meisig, Nils Blüthgen, Markus Landthaler

Abstract read
In one paragraph

Article in Molecular systems biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Predicting human mRNA isoform levels from site-specific splicing kineticsbioRxiv : the preprint server for biology · 2026
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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.

David Steinbrecht *Charite-Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany.ORCID http://orcid.org/0000-0002-0976-7801
Igor Minia *Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology, Berlin, Germany.
Miha MilekCore Unit Bioinformatics, Berlin Institute of Health at Charité, Berlin, Germany.
Johannes MeisigCharite-Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany.
Nils BlüthgenCharite-Universitätsmedizin Berlin, Institute of Pathology, Berlin, Germany. nils.bluethgen@charite.de.ORCID http://orcid.org/0000-0002-0171-7447
Markus LandthalerMax Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin Institute for Medical Systems Biology, Berlin, Germany. markus.landthaler@mdc-berlin.de.ORCID http://orcid.org/0000-0002-1075-8734

Funding

Deutsche Forschungsgemeinschaft (DFG) RTG2424 CompCancerDeutsche Forschungsgemeinschaft (DFG) SFB/TRR 186
6 · The paper itself

Abstract

Eukaryotic mRNAs are transcribed, processed, translated, and degraded in different subcellular compartments. Here, we measured mRNA flow rates between subcellular compartments in mouse embryonic stem cells. By combining metabolic RNA labeling, biochemical fractionation, mRNA sequencing, and mathematical modeling, we determined the half-lives of nuclear pre-, nuclear mature, cytosolic, and membrane-associated mRNAs from over 9000 genes. In addition, we estimated transcript elongation rates. Many matured mRNAs have long nuclear half-lives, indicating nuclear retention as the rate-limiting step in the flow of mRNAs. In contrast, mRNA transcripts coding for transcription factors show fast kinetic rates, and in particular short nuclear half-lives. Differentially localized mRNAs have distinct rate constant combinations, implying modular regulation. Membrane stability is high for membrane-localized mRNA and cytosolic stability is high for cytosol-localized mRNA. mRNAs encoding target signals for membranes have low cytosolic and high membrane half-lives with minor differences between signals. Transcripts of nuclear-encoded mitochondrial proteins have long nuclear retention and cytoplasmic kinetics that do not reflect co-translational targeting. Our data and analyses provide a useful resource to study spatiotemporal gene expression regulation.

Indexed as

Cell NucleusRNA, MessengerAnimalsCytoplasmCytosolGene Expression RegulationHalf-LifeKineticsMiceMouse Embryonic Stem CellsRNA StabilityRNA, MessengerKinetic ModelingMetabolic LabelingNuclear RetentionRNA DynamicsSubcellular Fractionation

Identifiers

PMID39548324
PMCPMC11611909

What OpenQuestion holds

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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.