RNA-seq analysis reveals TRPC genes to impact an unexpected number of metabolic and regulatory pathways

Abstract: The seven-member transient receptor potential canonical genes (TRPC1-7) encode cation channels linked to several human diseases. There is little understanding of the participation of each TRPC in each pathology, considering functional redundancy. Also, most of the inhibitors available ar...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Formoso, Karina, Susperreguy, Sebastián, Freichel, Marc, Birnbaumer, Lutz
Formato: Artículo
Lenguaje:Inglés
Publicado: Nature Research 2020
Materias:
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/10852
Aporte de:
id I33-R139123456789-10852
record_format dspace
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic MEDICINA
TRPC
RECEPTORES
GENES
INVESTIGACION CIENTIFICA
spellingShingle MEDICINA
TRPC
RECEPTORES
GENES
INVESTIGACION CIENTIFICA
Formoso, Karina
Susperreguy, Sebastián
Freichel, Marc
Birnbaumer, Lutz
RNA-seq analysis reveals TRPC genes to impact an unexpected number of metabolic and regulatory pathways
topic_facet MEDICINA
TRPC
RECEPTORES
GENES
INVESTIGACION CIENTIFICA
description Abstract: The seven-member transient receptor potential canonical genes (TRPC1-7) encode cation channels linked to several human diseases. There is little understanding of the participation of each TRPC in each pathology, considering functional redundancy. Also, most of the inhibitors available are not specific. Thus, we developed mice that lack all of the TRPCs and performed a transcriptome analysis in eight tissues. The aim of this research was to address the impact of the absence of all TRPC channels on gene expression. We obtained a total of 4305 differentially expressed genes (DEGs) in at least one tissue where spleen showed the highest number of DEGs (1371). Just 21 genes were modified in all the tissues. Performing a pathway enrichment analysis, we found that many important signaling pathways were modified in more than one tissue, including PI3K (phosphatidylinositol 3-kinase/protein kinase-B) signaling pathway, cytokine-cytokine receptor interaction, extracellular matrix (ECM)-receptor interaction and circadian rhythms. We describe for the first time the changes at the transcriptome level due to the lack of all TRPC proteins in a mouse model and provide a starting point to understand the function of TRPC channels and their possible roles in pathologies.
format Artículo
author Formoso, Karina
Susperreguy, Sebastián
Freichel, Marc
Birnbaumer, Lutz
author_facet Formoso, Karina
Susperreguy, Sebastián
Freichel, Marc
Birnbaumer, Lutz
author_sort Formoso, Karina
title RNA-seq analysis reveals TRPC genes to impact an unexpected number of metabolic and regulatory pathways
title_short RNA-seq analysis reveals TRPC genes to impact an unexpected number of metabolic and regulatory pathways
title_full RNA-seq analysis reveals TRPC genes to impact an unexpected number of metabolic and regulatory pathways
title_fullStr RNA-seq analysis reveals TRPC genes to impact an unexpected number of metabolic and regulatory pathways
title_full_unstemmed RNA-seq analysis reveals TRPC genes to impact an unexpected number of metabolic and regulatory pathways
title_sort rna-seq analysis reveals trpc genes to impact an unexpected number of metabolic and regulatory pathways
publisher Nature Research
publishDate 2020
url https://repositorio.uca.edu.ar/handle/123456789/10852
work_keys_str_mv AT formosokarina rnaseqanalysisrevealstrpcgenestoimpactanunexpectednumberofmetabolicandregulatorypathways
AT susperreguysebastian rnaseqanalysisrevealstrpcgenestoimpactanunexpectednumberofmetabolicandregulatorypathways
AT freichelmarc rnaseqanalysisrevealstrpcgenestoimpactanunexpectednumberofmetabolicandregulatorypathways
AT birnbaumerlutz rnaseqanalysisrevealstrpcgenestoimpactanunexpectednumberofmetabolicandregulatorypathways
bdutipo_str Repositorios
_version_ 1764820525040795648