Literature DB >> 25016029

The human skeletal muscle transcriptome: sex differences, alternative splicing, and tissue homogeneity assessed with RNA sequencing.

Malene E Lindholm1, Mikael Huss2, Beata W Solnestam3, Sanela Kjellqvist2, Joakim Lundeberg3, Carl J Sundberg4.   

Abstract

Human skeletal muscle health is important for quality of life and several chronic diseases, including type II diabetes, heart disease, and cancer. Skeletal muscle is a tissue widely used to study mechanisms behind different diseases and adaptive effects of controlled interventions. For such mechanistic studies, knowledge about the gene expression profiles in different states is essential. Since the baseline transcriptome has not been analyzed systematically, the purpose of this study was to provide a deep reference profile of female and male skeletal muscle. RNA sequencing data were analyzed from a large set of 45 resting human muscle biopsies. We provide extensive information on the skeletal muscle transcriptome, including 5 previously unannotated protein-coding transcripts. Global transcriptional tissue homogeneity was strikingly high, within both a specific muscle and the contralateral leg. We identified >23,000 known isoforms and found >5000 isoforms that differ between the sexes. The female and male transcriptome was enriched for genes associated with oxidative metabolism and protein catabolic processes, respectively. The data demonstrate remarkably high tissue homogeneity and provide a deep and extensive baseline reference for the human skeletal muscle transcriptome, with regard to alternative splicing, novel transcripts, and sex differences in functional ontology.transcriptome: sex differences, alternative splicing, and tissue homogeneity assessed with RNA sequencing. © FASEB.

Entities:  

Keywords:  biopsy; gene expression profiling; isoform; novel transcript; splice variant

Mesh:

Year:  2014        PMID: 25016029     DOI: 10.1096/fj.14-255000

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  36 in total

1.  Conservation, acquisition, and functional impact of sex-biased gene expression in mammals.

Authors:  Sahin Naqvi; Alexander K Godfrey; Jennifer F Hughes; Mary L Goodheart; Richard N Mitchell; David C Page
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Review 2.  Genetic and epigenetic sex-specific adaptations to endurance exercise.

Authors:  Shanie Landen; Sarah Voisin; Jeffrey M Craig; Sean L McGee; Séverine Lamon; Nir Eynon
Journal:  Epigenetics       Date:  2019-04-13       Impact factor: 4.528

3.  Genes That Escape X Chromosome Inactivation Modulate Sex Differences in Valve Myofibroblasts.

Authors:  Brian A Aguado; Cierra J Walker; Joseph C Grim; Megan E Schroeder; Dilara Batan; Brandon J Vogt; Andrea Gonzalez Rodriguez; Jessica A Schwisow; Karen S Moulton; Robert M Weiss; Donald D Heistad; Leslie A Leinwand; Kristi S Anseth
Journal:  Circulation       Date:  2022-01-10       Impact factor: 29.690

Review 4.  Sex differences in the intergenerational inheritance of metabolic traits.

Authors:  Ionel Sandovici; Denise S Fernandez-Twinn; Antonia Hufnagel; Miguel Constância; Susan E Ozanne
Journal:  Nat Metab       Date:  2022-05-30

5.  Molecular characterization of physis tissue by RNA sequencing.

Authors:  Christopher R Paradise; Catalina Galeano-Garces; Daniela Galeano-Garces; Amel Dudakovic; Todd A Milbrandt; Daniel B F Saris; Aaron J Krych; Marcel Karperien; Gabriel B Ferguson; Denis Evseenko; Scott M Riester; Andre J van Wijnen; A Noelle Larson
Journal:  Gene       Date:  2018-05-25       Impact factor: 3.688

6.  Transcriptome and Functional Profile of Cardiac Myocytes Is Influenced by Biological Sex.

Authors:  Christa L Trexler; Aaron T Odell; Mark Y Jeong; Robin D Dowell; Leslie A Leinwand
Journal:  Circ Cardiovasc Genet       Date:  2017-10

7.  The human cardiac and skeletal muscle proteomes defined by transcriptomics and antibody-based profiling.

Authors:  Cecilia Lindskog; Jerker Linné; Linn Fagerberg; Björn M Hallström; Carl Johan Sundberg; Malene Lindholm; Mikael Huss; Caroline Kampf; Howard Choi; David A Liem; Peipei Ping; Leif Väremo; Adil Mardinoglu; Jens Nielsen; Erik Larsson; Fredrik Pontén; Mathias Uhlén
Journal:  BMC Genomics       Date:  2015-06-25       Impact factor: 3.969

8.  RBM4a-regulated splicing cascade modulates the differentiation and metabolic activities of brown adipocytes.

Authors:  Jung-Chun Lin; Yi-Han Lu; Yun-Ru Liu; Ying-Ju Lin
Journal:  Sci Rep       Date:  2016-02-09       Impact factor: 4.379

9.  RNAseq analysis of fast skeletal muscle in restriction-fed transgenic coho salmon (Oncorhynchus kisutch): an experimental model uncoupling the growth hormone and nutritional signals regulating growth.

Authors:  Daniel Garcia de la Serrana; Robert H Devlin; Ian A Johnston
Journal:  BMC Genomics       Date:  2015-07-31       Impact factor: 3.969

10.  Multiple sources of bias confound functional enrichment analysis of global -omics data.

Authors:  James A Timmons; Krzysztof J Szkop; Iain J Gallagher
Journal:  Genome Biol       Date:  2015-09-07       Impact factor: 13.583

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