There are many transcripts of human protein-coding genes identified through massive NGS sequence datasets. Alternative transcripts would provide diversified molecular functions in biological processes during development and evolution. It is essential for biomedical researchers to further interrogate the expression profiles of various transcripts in different tissues. In this study, we have utilized the GTEx dataset to thoroughly investigate the expression patterns of dominantly expressed transcripts in more than fifty normal human tissue types. Identification of tissue representative transcripts would be beneficial for understanding the biological functions of protein-coding genes in particular tissues. Herein, we designed the RTTPG database to list the tissue representative highly expressed transcripts of human protein-coding genes with particularly easy-to-use visualization interfaces. We previously reported that most of the human protein-coding genes maintain few dominant transcripts in terms of expression modulation. Thus, we provided the visualized tissue expression profiles of the top-ranked transcripts as well as defined preferential tissue expressed transcripts by the Z-score values. In the beginning tissue distribution graph below: Tissue specific representative transcripts of human protein-coding genes were noted by their Rank1 transcripts with the Z-score above three. Selecting the tissue subtypes will display the numbers of tissue representative gene transcripts.
Z-score ≥ 3; Rank1
This RTTPG web visualization tool is to offer distinct tissue expression profiles of dominant transcripts in human protein-coding genes. In previous studies, it is demonstrated that only few transcript isoforms are dominantly expressed among all the alternative transcript isoforms. In most cases, the top five transcript isoforms (Rank1 ~ Rank5) could occupy more than 90% of protein-coding gene expression levels. In the RTTPG database, we further provide options to interrogate the tissue expression information on the various top-ranked transcript isoforms (Rank1, Rank1~3; Rank1~5; Rank1~10 and all expressed transcripts). Users can choose the range of Top-ranked transcripts for their study needs. The numbers of Z-score ≥ 3 transcript isoforms in each tissue are listed in the following table.