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Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging

Alternative splicing (AS) is a key regulatory mechanism for the development of different tissues; however, not much is known about changes to alternative splicing during aging. Splicing events may become more frequent and widespread genome‐wide as tissues age and the splicing machinery stringency de...

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Autores principales: Rodríguez, Sofía A., Grochová, Diana, McKenna, Tomás, Borate, Bhavesh, Trivedi, Niraj S., Erdos, Michael R., Eriksson, Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783335/
https://www.ncbi.nlm.nih.gov/pubmed/26685868
http://dx.doi.org/10.1111/acel.12433
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author Rodríguez, Sofía A.
Grochová, Diana
McKenna, Tomás
Borate, Bhavesh
Trivedi, Niraj S.
Erdos, Michael R.
Eriksson, Maria
author_facet Rodríguez, Sofía A.
Grochová, Diana
McKenna, Tomás
Borate, Bhavesh
Trivedi, Niraj S.
Erdos, Michael R.
Eriksson, Maria
author_sort Rodríguez, Sofía A.
collection PubMed
description Alternative splicing (AS) is a key regulatory mechanism for the development of different tissues; however, not much is known about changes to alternative splicing during aging. Splicing events may become more frequent and widespread genome‐wide as tissues age and the splicing machinery stringency decreases. Using skin, skeletal muscle, bone, thymus, and white adipose tissue from wild‐type C57BL6/J male mice (4 and 18 months old), we examined the effect of age on splicing by AS analysis of the differential exon usage of the genome. The results identified a considerable number of AS genes in skeletal muscle, thymus, bone, and white adipose tissue between the different age groups (ranging from 27 to 246 AS genes corresponding to 0.3–3.2% of the total number of genes analyzed). For skin, skeletal muscle, and bone, we included a later age group (28 months old) that showed that the number of alternatively spliced genes increased with age in all three tissues (P < 0.01). Analysis of alternatively spliced genes across all tissues by gene ontology and pathway analysis identified 158 genes involved in RNA processing. Additional analysis of AS in a mouse model for the premature aging disease Hutchinson–Gilford progeria syndrome was performed. The results show that expression of the mutant protein, progerin, is associated with an impaired developmental splicing. As progerin accumulates, the number of genes with AS increases compared to in wild‐type skin. Our results indicate the existence of a mechanism for increased AS during aging in several tissues, emphasizing that AS has a more important role in the aging process than previously known.
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spelling pubmed-47833352016-04-13 Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging Rodríguez, Sofía A. Grochová, Diana McKenna, Tomás Borate, Bhavesh Trivedi, Niraj S. Erdos, Michael R. Eriksson, Maria Aging Cell Original Articles Alternative splicing (AS) is a key regulatory mechanism for the development of different tissues; however, not much is known about changes to alternative splicing during aging. Splicing events may become more frequent and widespread genome‐wide as tissues age and the splicing machinery stringency decreases. Using skin, skeletal muscle, bone, thymus, and white adipose tissue from wild‐type C57BL6/J male mice (4 and 18 months old), we examined the effect of age on splicing by AS analysis of the differential exon usage of the genome. The results identified a considerable number of AS genes in skeletal muscle, thymus, bone, and white adipose tissue between the different age groups (ranging from 27 to 246 AS genes corresponding to 0.3–3.2% of the total number of genes analyzed). For skin, skeletal muscle, and bone, we included a later age group (28 months old) that showed that the number of alternatively spliced genes increased with age in all three tissues (P < 0.01). Analysis of alternatively spliced genes across all tissues by gene ontology and pathway analysis identified 158 genes involved in RNA processing. Additional analysis of AS in a mouse model for the premature aging disease Hutchinson–Gilford progeria syndrome was performed. The results show that expression of the mutant protein, progerin, is associated with an impaired developmental splicing. As progerin accumulates, the number of genes with AS increases compared to in wild‐type skin. Our results indicate the existence of a mechanism for increased AS during aging in several tissues, emphasizing that AS has a more important role in the aging process than previously known. John Wiley and Sons Inc. 2015-12-21 2016-04 /pmc/articles/PMC4783335/ /pubmed/26685868 http://dx.doi.org/10.1111/acel.12433 Text en © 2015 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Rodríguez, Sofía A.
Grochová, Diana
McKenna, Tomás
Borate, Bhavesh
Trivedi, Niraj S.
Erdos, Michael R.
Eriksson, Maria
Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging
title Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging
title_full Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging
title_fullStr Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging
title_full_unstemmed Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging
title_short Global genome splicing analysis reveals an increased number of alternatively spliced genes with aging
title_sort global genome splicing analysis reveals an increased number of alternatively spliced genes with aging
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783335/
https://www.ncbi.nlm.nih.gov/pubmed/26685868
http://dx.doi.org/10.1111/acel.12433
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