Gene expression atlases are powerful bioinformatics tools that
allow access to the scientific community to explore omics data. In
biomedicine, numerous gene expression databases are available, yet
none provide enough information about localized transcriptomics in the
skeletal system. In this work we try to solve this gap of knowledge by
creating a transcriptomic atlas which brings together different works
across the skeletal system, analyzing several key tissue compartments
in normal and pathological conditions from mouse and human after
analyzing more than 200 studies. Our atlas shows a user-friendly
representation which allows the comparison of multiple genes across
the different tissues of the skeleton: bone, cartilage, tendon, ligament,
growth plate and skeletal muscle. As expected, our first finding was
the identification of a significant heterogeneity between experiments
from similar studies but from different labs, so we have created a
dataset processing pipeline with inclusive/exclusive criteria of RNAseq
experiments based in sequencing quality and purity of the analyzed
tissues in search of a normalization protocol. We believe that this atlas
will allow the homogenization of the public transcriptomic studies in the
skeleton and will settle the basis to incorporate the upcoming data from
single cell transcriptomics studies.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
