Neuronal activity regulates alternative exon usage

Standard

Neuronal activity regulates alternative exon usage. / Denkena, Johanna; Zaisser, Andrea; Merz, Barbara; Klinger, Bertram; Kuhl, Dietmar; Blüthgen, Nils; Hermey, Guido.

in: MOL BRAIN, Jahrgang 13, Nr. 1, 10.11.2020, S. 148.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Denkena, J, Zaisser, A, Merz, B, Klinger, B, Kuhl, D, Blüthgen, N & Hermey, G 2020, 'Neuronal activity regulates alternative exon usage', MOL BRAIN, Jg. 13, Nr. 1, S. 148. https://doi.org/10.1186/s13041-020-00685-3

APA

Denkena, J., Zaisser, A., Merz, B., Klinger, B., Kuhl, D., Blüthgen, N., & Hermey, G. (2020). Neuronal activity regulates alternative exon usage. MOL BRAIN, 13(1), 148. https://doi.org/10.1186/s13041-020-00685-3

Vancouver

Denkena J, Zaisser A, Merz B, Klinger B, Kuhl D, Blüthgen N et al. Neuronal activity regulates alternative exon usage. MOL BRAIN. 2020 Nov 10;13(1):148. https://doi.org/10.1186/s13041-020-00685-3

Bibtex

@article{1a607840e561406e904258f42590d37a,
title = "Neuronal activity regulates alternative exon usage",
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.",
author = "Johanna Denkena and Andrea Zaisser and Barbara Merz and Bertram Klinger and Dietmar Kuhl and Nils Bl{\"u}thgen and Guido Hermey",
year = "2020",
month = nov,
day = "10",
doi = "10.1186/s13041-020-00685-3",
language = "English",
volume = "13",
pages = "148",
journal = "MOL BRAIN",
issn = "1756-6606",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Neuronal activity regulates alternative exon usage

AU - Denkena, Johanna

AU - Zaisser, Andrea

AU - Merz, Barbara

AU - Klinger, Bertram

AU - Kuhl, Dietmar

AU - Blüthgen, Nils

AU - Hermey, Guido

PY - 2020/11/10

Y1 - 2020/11/10

N2 - 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.

AB - 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.

U2 - 10.1186/s13041-020-00685-3

DO - 10.1186/s13041-020-00685-3

M3 - SCORING: Journal article

C2 - 33172478

VL - 13

SP - 148

JO - MOL BRAIN

JF - MOL BRAIN

SN - 1756-6606

IS - 1

ER -