Abstract
RNA-Seq or whole transcriptome shotgun sequencing has been adopted in the last years as a reference technique to determine the presence and the quantity of different species of RNA in determined biological samples, thanks to it allows the identification every single RNA species transcribed from a reference genome. Meta-profiling takes advantage of the public availability of an increasing set of RNA-Seq data produced by different laboratories to summarize the expression levels of the different RNA species of many samples according to their biological context, giving the opportunity to perform comparisons on the gene expression profiles of different tissues by integrating data derived from a high number of studies. By using Genevestigator™; a platform which integrates RNA-Seq data into meta-profiles, we have performed a comparison between the gene expression profiles of bone, cartilage, muscle tendon and skin by means of interrogating its database with different gene sets and families with relevance to the function of the tissues of the musculoskeletal system. The collagen gene family and genes coding for proteoglycans, matrix metalloproteinases and tissue inhibitors of metalloproteinases, mechanotransduction-related proteins and signalling pathways involved in tissue development and differentiation have been analysed. Hierarchical clustering for every gene set was performed for the understanding the differences and similarities between the different tissues included in the analyses. The results of this study will help to improve our understanding of the musculoskeletal system, and will help to identify new biomarkers and signalling pathways of specific relevance for the bone, cartilage, muscle and tendon.
