A mixed-effects model of the dynamic response of muscle gene transcript expression to endurance exercise.
Altered expression of a broad range of gene transcripts after exercise reflects the specific adjustment of skeletal muscle makeup to endurance training. Towards a quantitative understanding of this molecular regulation, we aimed to build a mixed-effects model of the dynamics of co-related transcript...
| Publicado en: | European Journal of Applied Physiology Vol. 113; no. 5; pp. 1279 - 1291 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
May2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104270346&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104270346 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14396319 NP8 jtl: European Journal of Applied Physiology issn: 14396319 maglogo: N pubinfo: dt: May2013 vid: 113 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104270346 NLM23179205 2012082546 10.1007/s00421-012-2547-x NLM23179205 104270346 ppf: 1279 ppct: 12 formats: tig: atl: A mixed-effects model of the dynamic response of muscle gene transcript expression to endurance exercise. aug: au: Busso, Thierry Flück, Martin affil: Laboratoire de Physiologie de l'Exercice, Université de Lyon, Saint-Etienne, France, busso@univ-st-etienne.fr. sug: subj: Exercise Models, Biological Muscle, Skeletal Metabolism RNA Adult Gene Expression Profiling Male Oligonucleotide Array Sequence Analysis Time Factors Human Adult: 19-44 years Male ab: Altered expression of a broad range of gene transcripts after exercise reflects the specific adjustment of skeletal muscle makeup to endurance training. Towards a quantitative understanding of this molecular regulation, we aimed to build a mixed-effects model of the dynamics of co-related transcript responses to exercise. It was built on the assumption that transcript levels after exercise varied because of changes in the balance between transcript synthesis and degradation. It was applied to microarray data of 231 gene transcripts in vastus lateralis muscle of six subjects 1, 8 and 24 h after endurance exercise and 6-week training on a stationary bicycle. Cluster analysis was used to select groups of transcripts having highest co-correlation of their expression (r > 0.70): Group 1 comprised 45 transcripts including factors defining the oxidative and contractile phenotype and Group 2 included 39 transcripts mainly defined by factors found at the cell periphery and the extracellular space. Data from six subjects were pooled to filter experimental noise. The model fitted satisfactorily the responses of Group 1 (r (2) = 0.62 before and 0.85 after training, P < 0.001) and Group 2 (r (2) = 0.75 and 0.79, P < 0.001). Predicted variation in transcription rate induced by exercise yielded a difference in amplitude and time-to-peak response of gene transcripts between the two groups before training and with training in Group 2. The findings illustrate that a mixed-effects model of transcript responses to exercise is suitable to explore the regulation of muscle plasticity by training at the transcriptional level and indicate critical experiments needed to consolidate model parameters empirically. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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