Evidence map›Paper›PMID 31160491›Full record

ArticleMolecular and cellular biology2019

Differential Interleukin-2 Transcription Kinetics Render Mouse but Not Human T Cells Vulnerable to Splicing Inhibition Early after Activation.

Debojit Bose, Alexander Neumann, Bernd Timmermann, Stefan Meinke, Florian Heyd

Open access · bronzeAbstract read
In one paragraph

Article in Molecular and cellular biology, 2019. 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
0.7field-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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. RNA Splicing as a Therapeutic Target in Cancer.Annual review of pharmacology and toxicology · 2026
    Review
  2. Covalent targeting of splicing in T cells.Cell chemical biology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
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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

5 authors at 2 institutions in 1 country.

Debojit BoseInstitute of Chemistry and Biochemistry, Laboratory of RNA Biochemistry, Freie Universität Berlin, Berlin, Germany debojit.bose@fu-berlin.de florian.heyd@fu-berlin.de.
Alexander NeumannInstitute of Chemistry and Biochemistry, Laboratory of RNA Biochemistry, Freie Universität Berlin, Berlin, Germany.
Bernd TimmermannSequencing Core Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Stefan MeinkeInstitute of Chemistry and Biochemistry, Laboratory of RNA Biochemistry, Freie Universität Berlin, Berlin, Germany.
Florian HeydInstitute of Chemistry and Biochemistry, Laboratory of RNA Biochemistry, Freie Universität Berlin, Berlin, Germany debojit.bose@fu-berlin.de florian.heyd@fu-berlin.de.
Freie Universität Berlin · DEMax Planck Institute for Molecular Genetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells are nodal players in the adaptive immune response against pathogens and malignant cells. Alternative splicing plays a crucial role in T cell activation, which is analyzed mainly at later time points upon stimulation. Here we have discovered a 2-h time window early after stimulation where optimal splicing efficiency or, more generally, gene expression efficiency is crucial for successful T cell activation. Reducing the splicing efficiency at 4 to 6 h poststimulation significantly impaired murine T cell activation, which was dependent on the expression dynamics of the Egr1-Nab2-interleukin-2 (IL-2) pathway. This time window overlaps the time of peak IL-2

Indexed as

Alternative SplicingAnimalsEarly Growth Response Protein 1Gene Expression RegulationHumansInterleukin-2Lymphocyte ActivationMiceRepressor ProteinsSignal TransductionSpecies SpecificityTime FactorsT-LymphocytesTranslational Research, BiomedicalEarly Growth Response Protein 1IL2 protein, humanInterleukin-2Repressor Proteinsgene expressioninterleukin-2RNA splicingT cell activation

Identifiers

PMID31160491
PMCPMC6664609
OpenAlexW2947928167

What Socratic holds

Textmetadata
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.