Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Standard

Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise. / Vissing, Kristian; Schjerling, Peter.

In: Nature Scientific Data, Vol. 1, 140041, 25.11.2014.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

APA

CBE

MLA

Vancouver

Author

Bibtex

@article{23cbc67604144209aa092bae3b94edd4,
title = "Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise",
abstract = "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.",
keywords = "biomarkers, skeletal muscle, transcriptomics",
author = "Kristian Vissing and Peter Schjerling",
year = "2014",
month = nov,
day = "25",
doi = "10.1038/sdata.2014.41",
language = "English",
volume = "1",
journal = "Nature Scientific Data",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise

AU - Vissing, Kristian

AU - Schjerling, Peter

PY - 2014/11/25

Y1 - 2014/11/25

N2 - 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.

AB - 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.

KW - biomarkers

KW - skeletal muscle

KW - transcriptomics

U2 - 10.1038/sdata.2014.41

DO - 10.1038/sdata.2014.41

M3 - Journal article

C2 - 25984345

VL - 1

JO - Nature Scientific Data

JF - Nature Scientific Data

M1 - 140041

ER -