The human secretome
Journal article, 2019
The proteins secreted by human cells (collectively referred to as the secretome) are important not only for the basic understanding of human biology but also for the identification of potential targets for future diagnostics and therapies. Here, we present a comprehensive analysis of proteins predicted to be secreted in human cells, which provides information about their final localization in the human body, including the proteins actively secreted to peripheral blood. The analysis suggests that a large number of the proteins of the secretome are not secreted out of the cell, but instead are retained intracellularly, whereas another large group of proteins were identified that are predicted to be retained locally at the tissue of expression and not secreted into the blood. Proteins detected in the human blood by mass spectrometry-based proteomics and antibody-based immuno-assays are also presented with estimates of their concentrations in the blood. The results are presented in an updated version 19 of the Human Protein Atlas in which each gene encoding a secretome protein is annotated to provide an open-access knowledge resource of the human secretome, including body-wide expression data, spatial localization data down to the single-cell and subcellular levels, and data about the presence of proteins that are detectable in the blood.
Author
Mathias Uhlen
Karolinska Institutet
Royal Institute of Technology (KTH)
Technical University of Denmark (DTU)
Max J. Karlsson
Royal Institute of Technology (KTH)
Andreas Hober
Royal Institute of Technology (KTH)
Anne-Sophie Svensson
Royal Institute of Technology (KTH)
Julia Scheffel
Royal Institute of Technology (KTH)
David Kotol
Royal Institute of Technology (KTH)
Wen Zhong
Royal Institute of Technology (KTH)
Abdellah Tebani
Royal Institute of Technology (KTH)
Linnea Strandberg
Royal Institute of Technology (KTH)
Fredrik Edfors
Stanford University
Royal Institute of Technology (KTH)
Evelina Sjostedt
Karolinska Institutet
Jan Mulder
Karolinska Institutet
Adil Mardinoglu
Royal Institute of Technology (KTH)
Anna Berling
Royal Institute of Technology (KTH)
Siri Ekblad
Royal Institute of Technology (KTH)
Melanie Dannemeyer
Royal Institute of Technology (KTH)
Sara Kanje
Royal Institute of Technology (KTH)
Johan Rockberg
Royal Institute of Technology (KTH)
Magnus Lundqvist
Royal Institute of Technology (KTH)
Magdalena Malm
Royal Institute of Technology (KTH)
Anna-Luisa Volk
Royal Institute of Technology (KTH)
Peter Nilsson
Royal Institute of Technology (KTH)
Anna Manberg
Royal Institute of Technology (KTH)
Tea Dodig-Crnkovic
Royal Institute of Technology (KTH)
Elisa Pin
Royal Institute of Technology (KTH)
Martin Zwahlen
Royal Institute of Technology (KTH)
Per Oksvold
Royal Institute of Technology (KTH)
Kalle von Feilitzen
Royal Institute of Technology (KTH)
Ragna S. Haussler
Royal Institute of Technology (KTH)
Mun-Gwan Hong
Royal Institute of Technology (KTH)
Cecilia Lindskog
Uppsala University
Fredrik Ponten
Uppsala University
Borbala Katona
Uppsala University
Jimmy Vuu
Uppsala University
Emil Lindstrom
Uppsala University
Jens B Nielsen
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Jonathan Robinson
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Burcu Ayoglu
Royal Institute of Technology (KTH)
Diana Mahdessian
Royal Institute of Technology (KTH)
Devin Sullivan
Royal Institute of Technology (KTH)
Peter Thul
Royal Institute of Technology (KTH)
Frida Danielsson
Royal Institute of Technology (KTH)
Charlotte Stadler
Royal Institute of Technology (KTH)
Emma Lundberg
Royal Institute of Technology (KTH)
Goran Bergstrom
University of Gothenburg
Anders Gummesson
University of Gothenburg
Bjorn G. Voldborg
Technical University of Denmark (DTU)
Hanna Tegel
Royal Institute of Technology (KTH)
Sophia Hober
Royal Institute of Technology (KTH)
Bjorn Forsstrom
Royal Institute of Technology (KTH)
Jochen M. Schwenk
Royal Institute of Technology (KTH)
Linn Fagerberg
Royal Institute of Technology (KTH)
Asa Sivertsson
Royal Institute of Technology (KTH)
Science signaling
19450877 (ISSN) 19379145 (eISSN)
Vol. 12 609 eaaz0274Subject Categories
Cell and Molecular Biology
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Bioinformatics and Systems Biology
DOI
10.1126/scisignal.aaz0274
PubMed
31772123