Evidence map›Paper›PMID 33172478›Full record

ArticleMolecular brain2020

Neuronal activity regulates alternative exon usage.

Johanna Denkena, Andrea Zaisser, Barbara Merz, Bertram Klinger, Dietmar Kuhl, Nils Blüthgen, Guido Hermey

Abstract read
In one paragraph

Article in Molecular brain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. MRAS: Master Regulator Analysis of Alternative Splicing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Alternative splicing in addiction.Current opinion in genetics & development · 2025
    Review
  5. Application of mRNA-Seq and Metagenomic Sequencing to StudyInternational journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. 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

7 authors.

Johanna DenkenaInstitute for Theoretical Biology and Institute of Pathology, Charité-Universitätsmedizin Berlin, Berlin, 10117, Germany.
Andrea ZaisserInstitute for Molecular and Cellular Cognition, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany.
Barbara MerzInstitute for Molecular and Cellular Cognition, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany.
Bertram KlingerInstitute for Theoretical Biology and Institute of Pathology, Charité-Universitätsmedizin Berlin, Berlin, 10117, Germany.
Dietmar KuhlInstitute for Molecular and Cellular Cognition, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany.
Nils BlüthgenInstitute for Theoretical Biology and Institute of Pathology, Charité-Universitätsmedizin Berlin, Berlin, 10117, Germany.
Guido HermeyInstitute for Molecular and Cellular Cognition, Center for Molecular Neurobiology Hamburg, University Medical Center Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany. guido.hermey@zmnh.uni-hamburg.de.ORCID 0000-0003-4762-5262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal activity-regulated gene transcription underlies plasticity-dependent changes in the molecular composition and structure of neurons. A large number of genes regulated by different neuronal plasticity inducing pathways have been identified, but altered gene expression levels represent only part of the complexity of the activity-regulated transcriptional program. Alternative splicing, the differential inclusion and exclusion of exonic sequence in mRNA, is an additional mechanism that is thought to define the activity-dependent transcriptome. Here, we present a genome wide microarray-based survey to identify exons with increased expression levels at 1, 4 or 8 h following neuronal activity in the murine hippocampus provoked by generalized seizures. We used two different bioinformatics approaches to identify alternative activity-induced exon usage and to predict alternative splicing, ANOSVA (ANalysis Of Splicing VAriation) which we here adjusted to accommodate data from different time points and FIRMA (Finding Isoforms using Robust Multichip Analysis). RNA sequencing, in situ hybridization and reverse transcription PCR validate selected activity-dependent splicing events of previously described and so far undescribed activity-regulated transcripts, including Homer1a, Homer1d, Ania3, Errfi1, Inhba, Dclk1, Rcan1, Cda, Tpm1 and Krt75. Taken together, our survey significantly adds to the comprehensive understanding of the complex activity-dependent neuronal transcriptomic signature. In addition, we provide data sets that will serve as rich resources for future comparative expression analyses.

Indexed as

Alternative SplicingAnimalsExonsMaleMice, Inbred C57BLNerve Tissue ProteinsNeuronsReproducibility of ResultsNerve Tissue ProteinsAlternative splicingGene expressionHippocampusMicroarrayNeuronal activityRNA sequencingSynaptic plasticityTranscriptome

Identifiers

PMID33172478
PMCPMC7656758

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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.