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Transcriptome analysis of ageing in uninjured human Achilles tendon

INTRODUCTION: The risk of tendon injury and disease increases significantly with increasing age. The aim of the study was to characterise transcriptional changes in human Achilles tendon during the ageing process in order to identify molecular signatures that might contribute to age-related degenera...

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Autores principales: Peffers, Mandy Jayne, Fang, Yongxiang, Cheung, Kathleen, Wei, Tim Koh Jia, Clegg, Peter David, Birch, Helen Lucy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355574/
https://www.ncbi.nlm.nih.gov/pubmed/25888722
http://dx.doi.org/10.1186/s13075-015-0544-2
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author Peffers, Mandy Jayne
Fang, Yongxiang
Cheung, Kathleen
Wei, Tim Koh Jia
Clegg, Peter David
Birch, Helen Lucy
author_facet Peffers, Mandy Jayne
Fang, Yongxiang
Cheung, Kathleen
Wei, Tim Koh Jia
Clegg, Peter David
Birch, Helen Lucy
author_sort Peffers, Mandy Jayne
collection PubMed
description INTRODUCTION: The risk of tendon injury and disease increases significantly with increasing age. The aim of the study was to characterise transcriptional changes in human Achilles tendon during the ageing process in order to identify molecular signatures that might contribute to age-related degeneration. METHODS: RNA for gene expression analysis using RNA-Seq and quantitative real-time polymerase chain reaction analysis was isolated from young and old macroscopically normal human Achilles tendon. RNA sequence libraries were prepared following ribosomal RNA depletion, and sequencing was undertaken by using the Illumina HiSeq 2000 platform. Expression levels among genes were compared by using fragments per kilobase of exon per million fragments mapped. Differentially expressed genes were defined by using Benjamini-Hochberg false discovery rate approach (P <0.05, expression ratios 1.4 log(2) fold change). Alternative splicing of exon variants were also examined by using Cufflinks. The functional significance of genes that showed differential expression between young and old tendon was determined by using ingenuity pathway analysis. RESULTS: In total, the expression of 325 transcribed elements, including protein-coding transcripts and non-coding transcripts (small non-coding RNAs, pseudogenes, long non-coding RNAs and a single microRNA), was significantly different in old compared with young tendon (±1.4 log(2) fold change, P <0.05). Of these, 191 were at higher levels in older tendon and 134 were at lower levels in older tendon. The top networks for genes differentially expressed with tendon age were from cellular function, cellular growth, and cellular cycling pathways. Notable differential transcriptome changes were also observed in alternative splicing patterns. Several of the top gene ontology terms identified in downregulated isoforms in old tendon related to collagen and post-translational modification of collagen. CONCLUSIONS: This study demonstrates dynamic alterations in RNA with age at numerous genomic levels, indicating changes in the regulation of transcriptional networks. The results suggest that ageing is not primarily associated with loss of ability to synthesise matrix proteins and matrix-degrading enzymes. In addition, we have identified non-coding RNA genes and differentially expressed transcript isoforms of known matrix components with ageing which require further investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13075-015-0544-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-43555742015-03-12 Transcriptome analysis of ageing in uninjured human Achilles tendon Peffers, Mandy Jayne Fang, Yongxiang Cheung, Kathleen Wei, Tim Koh Jia Clegg, Peter David Birch, Helen Lucy Arthritis Res Ther Research Article INTRODUCTION: The risk of tendon injury and disease increases significantly with increasing age. The aim of the study was to characterise transcriptional changes in human Achilles tendon during the ageing process in order to identify molecular signatures that might contribute to age-related degeneration. METHODS: RNA for gene expression analysis using RNA-Seq and quantitative real-time polymerase chain reaction analysis was isolated from young and old macroscopically normal human Achilles tendon. RNA sequence libraries were prepared following ribosomal RNA depletion, and sequencing was undertaken by using the Illumina HiSeq 2000 platform. Expression levels among genes were compared by using fragments per kilobase of exon per million fragments mapped. Differentially expressed genes were defined by using Benjamini-Hochberg false discovery rate approach (P <0.05, expression ratios 1.4 log(2) fold change). Alternative splicing of exon variants were also examined by using Cufflinks. The functional significance of genes that showed differential expression between young and old tendon was determined by using ingenuity pathway analysis. RESULTS: In total, the expression of 325 transcribed elements, including protein-coding transcripts and non-coding transcripts (small non-coding RNAs, pseudogenes, long non-coding RNAs and a single microRNA), was significantly different in old compared with young tendon (±1.4 log(2) fold change, P <0.05). Of these, 191 were at higher levels in older tendon and 134 were at lower levels in older tendon. The top networks for genes differentially expressed with tendon age were from cellular function, cellular growth, and cellular cycling pathways. Notable differential transcriptome changes were also observed in alternative splicing patterns. Several of the top gene ontology terms identified in downregulated isoforms in old tendon related to collagen and post-translational modification of collagen. CONCLUSIONS: This study demonstrates dynamic alterations in RNA with age at numerous genomic levels, indicating changes in the regulation of transcriptional networks. The results suggest that ageing is not primarily associated with loss of ability to synthesise matrix proteins and matrix-degrading enzymes. In addition, we have identified non-coding RNA genes and differentially expressed transcript isoforms of known matrix components with ageing which require further investigation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13075-015-0544-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-18 2015 /pmc/articles/PMC4355574/ /pubmed/25888722 http://dx.doi.org/10.1186/s13075-015-0544-2 Text en © Peffers et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Peffers, Mandy Jayne
Fang, Yongxiang
Cheung, Kathleen
Wei, Tim Koh Jia
Clegg, Peter David
Birch, Helen Lucy
Transcriptome analysis of ageing in uninjured human Achilles tendon
title Transcriptome analysis of ageing in uninjured human Achilles tendon
title_full Transcriptome analysis of ageing in uninjured human Achilles tendon
title_fullStr Transcriptome analysis of ageing in uninjured human Achilles tendon
title_full_unstemmed Transcriptome analysis of ageing in uninjured human Achilles tendon
title_short Transcriptome analysis of ageing in uninjured human Achilles tendon
title_sort transcriptome analysis of ageing in uninjured human achilles tendon
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355574/
https://www.ncbi.nlm.nih.gov/pubmed/25888722
http://dx.doi.org/10.1186/s13075-015-0544-2
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