Cross platform analysis of transcriptomic data identifies ageing has distinct and opposite effects on tendon in males and females

Pease, Louise I, Clegg, Peter D ORCID: 0000-0003-0632-0032, Proctor, Carole J, Shanley, Daryl J, Cockell, Simon J and Peffers, Mandy J ORCID: 0000-0001-6979-0440
(2017) Cross platform analysis of transcriptomic data identifies ageing has distinct and opposite effects on tendon in males and females. Scientific Reports, 7 (1). 14443-.

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The development of tendinopathy is influenced by a variety of factors including age, gender, sex hormones and diabetes status. Cross platform comparative analysis of transcriptomic data elucidated the connections between these entities in the context of ageing. Tissue-engineered tendons differentiated from bone marrow derived mesenchymal stem cells from young (20–24 years) and old (54–70 years) donors were assayed using ribonucleic acid sequencing (RNA-seq). Extension of the experiment to microarray and RNA-seq data from tendon identified gender specific gene expression changes highlighting disparity with existing literature and published pathways. Separation of RNA-seq data by sex revealed underlying negative binomial distributions which increased statistical power. Sex specific de novo transcriptome assemblies generated fewer larger transcripts that contained miRNAs, lincRNAs and snoRNAs. The results identify that in old males decreased expression of CRABP2 leads to cell proliferation, whereas in old females it leads to cellular senescence. In conjunction with existing literature the results explain gender disparity in the development and types of degenerative diseases as well as highlighting a wide range of considerations for the analysis of transcriptomic data. Wider implications are that degenerative diseases may need to be treated differently in males and females because alternative mechanisms may be involved

Item Type: Article
Uncontrolled Keywords: Tendons, Mesenchymal Stem Cells, Humans, Receptors, Retinoic Acid, MicroRNAs, RNA, Small Nucleolar, Gene Expression Profiling, Sequence Analysis, RNA, Cell Differentiation, Cell Proliferation, Aging, Sex Characteristics, Aged, Middle Aged, Female, Male, Young Adult, Transcriptome, RNA, Long Noncoding
Depositing User: Symplectic Admin
Date Deposited: 06 Nov 2017 07:47
Last Modified: 19 Jan 2023 06:51
DOI: 10.1038/s41598-017-14650-z
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