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New guide to genetic jungle of muscles can help health research

November 26, 2014
Aarhus University
A comprehensive overview of how tens of thousands of genes interact in relation to the behavior of muscles has been developed by scientists. At the same time, they have developed a guide to the enormous amounts of data and thus paved the way for new knowledge about diseases associated with lack of activity.

How do the genes in the cells inside the body's muscles respond when the muscles are put to work? And how are these genes affected when muscles are not used? What importance do activity and, on the other hand, lack of activity have for the organism's metabolism, and thus also for diseases such as diabetes and obesity?

These questions form the basis for a new study from the Department of Public Health at Aarhus University and the Institute of Sports Medicine at Bispebjerg Hospital. For the first time, the study compares the reactions of all genes in the muscles to diverse muscular work on the one hand, and a lack of activity on the other. This has been achieved partly by means of taking muscle tissue samples from twenty young, healthy male test subjects, and partly by means of genetic screening.

The results have just been published in the Nature journal Scientific Data and represent an enormous volume of data which is now available to researchers all over the world.

Platform for future research

"Genetic screening faces a major challenge in that tens of thousands of genes multiplied by a given number of test subjects involved and by a given number of points in time selected for measurement, quickly develops into hundreds of thousands of data points that you have to be able to comprehend and interpret," says Associate Professor Kristian Vissing from Aarhus University.

Even though you can systematise data, this type of bioinformatic analysis also has limitations. For instance, reported data most often rely on highest ranking of response. While this may serve to highlight genes that are highly responsive, it is not necessarily telling of their biological importance. Oppositely, potentially important genes responding below a pre-set cut-off level are easily ignored, but may be just as important or even more important to our understanding of a biological mechanism that is at the root of a disease.

"As part of the study we have therefore developed a search tool, or manual, which makes it easy for other researchers to find their way around the large volumes of data and obtain knowledge about the genes they are particularly interested in," says Kristian Vissing.

Together the two elements of the study provide a platform for further research into disease and treatment options. For example for examining muscle genes that are involved in the carbohydrate metabolism, which may help to direct the development of medicine to help against diabetes.

Story Source:

Materials provided by Aarhus University. Note: Content may be edited for style and length.

Journal Reference:

  1. Kristian Vissing, Peter Schjerling. Simplified data access on human skeletal muscle transcriptome responses to differentiated exercise. Scientific Data, 2014; 1: 140041 DOI: 10.1038/sdata.2014.41

Cite This Page:

Aarhus University. "New guide to genetic jungle of muscles can help health research." ScienceDaily. ScienceDaily, 26 November 2014. <>.
Aarhus University. (2014, November 26). New guide to genetic jungle of muscles can help health research. ScienceDaily. Retrieved July 22, 2024 from
Aarhus University. "New guide to genetic jungle of muscles can help health research." ScienceDaily. (accessed July 22, 2024).

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