Abstract The Human Protein Atlas (HPA) program aims to map all of the human proteins in cells, tissues and organs using integration of various omics technologies, including proteomics, transcriptomics, antibody-based methods and AI-based systems biology. The current version 23 (www.proteinatlas.org) consists of more than 5 million webpages and 10 million antibody-based bioimages separated into 12 sections with information on various aspect of the genome-wide analysis of the human proteins. With the search function you can find a gene of interest and explore its expression profile in tissues across the whole human body, cellular location down to organelle details and browse immunohistological images of different cancers. Each section provides a unique focus of the human protein-coding genes, delivering a tool to investigate tissue specific, cell-type specific or combined criteria to navigate the human protein-coding genes. The tissue atlas provides lists of genes with tissue-enriched expression profiles combined with antibody-based protein profiling, and recently added multiplex images of selected tissue types. The brain atlas explores the regional variation of the human, pig and mouse brain, as well as provides full mouse brain protein profiles. Recently, we have initiated a next generation blood profiling efforts aim to study the blood levels across tens of thousands of patients to create a pan-disease blood atlas section covering all major diseases. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome.
Selected publications:
1. Uhlen et al (2015) “Tissue-based map of the human proteome” Science 347(6220):1260419.
2. Uhlen et al (2017) “A pathology atlas of the human cancer transcriptome” Science 357(6352): eaan2507
3. Uhlen et al (2019 “A genome-wide transcriptomic analysis of protein-coding genes in human blood cells” Science 366 (6472): eann9198
4. Sjöstedt et al (2020) “An atlas of the human, pig and mouse brain” Science 367 eaay5947
5. Karlsson et al (2021) “A single-cell type transcriptomics map of human tissues” Science Adv.7(31. |