In the evolving era of “big data”, integration of datasets 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 subatlases; the Tissue Atlas1, the Pathology Atlas2 and the Cell Atlas3, 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. In the upcoming 2019 release, three new sections will be added to the public database: the Blood Atlas, studying proteins in different human blood cell types; the Brain Atlas, describing protein localization in different parts of mammalian brain; and the Metabolic Atlas, focusing on proteins involved in metabolic pathways. In summary, the Human Protein Atlas constitutes a comprehensive stand-alone open-access resource available for researchers worldwide, and is believed to help accelerating efforts to find biomarkers meeting future needs in personalized healthcare, and leading to products that will benefit humanity.