Sci Data - Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise.

Tópicos

{ activ(1138) subject(705) human(624) }
{ activ(1452) weight(1219) physic(1104) }
{ gene(2352) biolog(1181) express(1162) }
{ model(2656) set(1616) predict(1553) }
{ survey(1388) particip(1329) question(1065) }
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{ case(1353) use(1143) diagnosi(1136) }
{ ehr(2073) health(1662) electron(1139) }
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{ chang(1828) time(1643) increas(1301) }
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Resumo

Few studies have investigated exercise-induced global gene expression responses in human skeletal muscle and these have typically focused at one specific mode of exercise and not implemented non-exercise control models. However, interpretation on effects of differentiated exercise necessitate direct comparison between essentially different modes of exercise and the ability to identify true exercise effect, necessitate implementation of independent non-exercise control subjects. Furthermore, muscle transcriptome data made available through previous exercise studies can be difficult to extract and interpret by individuals that are inexperienced with bioinformatics procedures. In a comparative study, we therefore; (1) investigated the human skeletal muscle transcriptome responses to differentiated exercise and non-exercise control intervention, and; (2) set out to develop a straightforward search tool to allow for easy access and interpretation of our data. We provide a simple-to-use spread sheet containing transcriptome data allowing other investigators to easily see how mRNA of their gene(s) of interest behave in skeletal muscle following exercise, both endurance, resistance and non-exercise, to better aid hypothesis-driven question in this field of research.

Resumo Limpo

studi investig exerciseinduc global gene express respons human skelet muscl typic focus one specif mode exercis implement nonexercis control model howev interpret effect differenti exercis necessit direct comparison essenti differ mode exercis abil identifi true exercis effect necessit implement independ nonexercis control subject furthermor muscl transcriptom data made avail previous exercis studi can difficult extract interpret individu inexperienc bioinformat procedur compar studi therefor investig human skelet muscl transcriptom respons differenti exercis nonexercis control intervent set develop straightforward search tool allow easi access interpret data provid simpletous spread sheet contain transcriptom data allow investig easili see mrna gene interest behav skelet muscl follow exercis endur resist nonexercis better aid hypothesisdriven question field research

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