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

1937-9145 (ISSN)

Vol. 12 609 eaaz0274

Subject 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

More information

Latest update

4/20/2020