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Comprehensive comparison of large-scale tissue expression datasets

Abstract

For tissues to carry out their functions, they rely on the right proteins to be present. Several high-throughput technologies have been used to map out which proteins are expressed in which tissues; however, the data have not previously been systematically compared and integrated. We present a comprehensive evaluation of tissue expression data from a variety of experimental techniques and show that these agree surprisingly well with each other and with results from literature curation and text mining. We further found that most datasets support the assumed but not demonstrated distinction between tissue-specific and ubiquitous expression. By developing comparable confidence scores for all types of evidence, we show that it is possible to improve both quality and coverage by combining the datasets. To facilitate use and visualization of our work, we have developed the TISSUES resource (http://tissues.jensenlab.org), which makes all the scored and integrated data available through a single user-friendly web interface.

Type Journal
ISBN 2167-8359 (Electronic)
Authors Santos, A.; Tsafou, K.; Stolte, C.; Pletscher-Frankild, S.; O'Donoghue, S. I.; Jensen, L. J.;
Garvan Authors Dr Sean O'Donoghue
Publisher Name PeerJ
Published Date 2015-01-01 00:00:00
Published Volume 3
Published Pages e1054
URL http://www.ncbi.nlm.nih.gov/pubmed/26157623
Status Published In-print
OpenAccess Link https://publications.gimr.garvan.org.au/download.php?13298_13357/peerj-03-1054.pdf