ABSTRACT
In the evolving era of “Big Data,” integration of data sets from different omics technologies, such as genomics, transcriptomics and proteomics, have received increased attention, paving the way for further progress in molecular medicine and targeted treatment. The Human Protein Atlas database based on integration of transcriptomics and antibody-based proteomics constitutes the largest and most comprehensive knowledge resource for spatial localization of proteins in organs, tissues, cells and organelles. Divided into three different sub-atlases—the Tissue Atlas, the Pathology Atlas and the Cell Atlas,—it covers a wide spectrum of spatial localization at different levels, as well as the consequence of all human genes on patient survival. The database has several potential implications for use in personalized medicine, and constitutes an important starting point for identification of candidate proteins that may have important implications for medicine, aid in identifying and stratifying high-risk individuals, contribute to further understanding of underlying disease mechanisms, and guide treatment modalities.
