| Literature DB >> 33498127 |
Linn Fagerberg1, Björn M Hallström1, Per Oksvold1, Caroline Kampf2, Dijana Djureinovic2, Jacob Odeberg1, Masato Habuka1, Simin Tahmasebpoor2, Angelika Danielsson2, Karolina Edlund2, Anna Asplund2, Evelina Sjöstedt2, Emma Lundberg1, Cristina Al-Khalili Szigyarto1, Marie Skogs1, Jenny Ottosson Takanen3, Holger Berling3, Hanna Tegel3, Jan Mulder4, Peter Nilsson1, Jochen M Schwenk1, Cecilia Lindskog2, Frida Danielsson1, Adil Mardinoglu5, Åsa Sivertsson1, Kalle von Feilitzen3, Mattias Forsberg1, Martin Zwahlen1, IngMarie Olsson2, Sanjay Navani6, Mikael Huss1, Jens Nielsen7, Fredrik Ponten2, Mathias Uhlén8.
Abstract
Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to ∼80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.Year: 2020 PMID: 33498127 DOI: 10.1074/mcp.M113.035600
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911