The human secretome
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A database provides information on the relative abundances and locations of human proteins that are predicted to be secreted.
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42.68% of all significant SNV-pQTL proteins identified are actively secreted into the blood in at least one isoform.
“as 42.68% of all significant SNV-pQTL proteins identified are actively secreted into the blood at least in one isoform (Supplementary Table S19)72”
From Genetic determinants of plasma protein levels in the Estonian population (2024) · cites this paper as [72]
The 'Revised list of the human secretome' section classifies proteins by secreted isoform, and 'Annotation of the human secretome into localization classes' identifies 730 proteins predicted to be secreted into blood. The paper does not report that 42.68% of significant SNV-pQTL proteins fall in that category; the cited paper supports the classification, not the percentage or its SNV-pQTL denominator. (LLM, conf=0.88)
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Cites
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A Quantitative Proteome Map of the Human Body
Jiang, L., Wang, M., Lin, S., Jian, R., Li, X., Chan, J., Dong, G., Fang, H., Robinson, A. E., Aguet, F., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.036 · Cited by 458 · see citing works
Genetics meets proteomics: perspectives for large population-based studies
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Vision-related convergent gene losses reveal SERPINE3’s unknown role in the eye
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Liu, H., Yin, G., Franco Leonardi, B., Lan, T., Ait Ahmed, Y., Berger, H., Kohlhepp, M. S., Amiridze, N., Martagón Calderón, N., Frau, C., et al. (2025) · Gut · doi:10.1136/gutjnl-2024-334425 · Cited by 23 · see citing works
Genetic determinants of plasma protein levels in the Estonian population
Kalnapenkis, A., Jõeloo, M., Lepik, K., Kukuškina, V., Kals, M., Alasoo, K., Estonian Biobank Research Team, Metspalu, A., Milani, L., Nelis, M., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-57966-3 · Cited by 11 · see citing works
- Authors
- Uhlén, M., Karlsson, M. J., Hober, A., Svensson, A.-S., Scheffel, J., Kotol, D., Zhong, W., Tebani, A., Strandberg, L., Edfors, F., Sjöstedt, E., Mulder, J., Mardinoglu, A., Berling, A., Ekblad, S., Dannemeyer, M., Kanje, S., Rockberg, J., Lundqvist, M., Malm, M., Volk, A.-L., Nilsson, P., Månberg, A., Dodig-Crnkovic, T., Pin, E., Zwahlen, M., Oksvold, P., von Feilitzen, K., Häussler, R. S., Hong, M.-G., Lindskog, C., Ponten, F., Katona, B., Vuu, J., Lindström, E., Nielsen, J., Robinson, J., Ayoglu, B., Mahdessian, D., Sullivan, D., Thul, P., Danielsson, F., Stadler, C., Lundberg, E., Bergström, G., Gummesson, A., Voldborg, B. G., Tegel, H., Hober, S., Forsström, B., Schwenk, J. M., Fagerberg, L., & Sivertsson, Å.
- Affiliations
- Science for Life Laboratory (SE)
- AlbaNova (SE)
- Karolinska Institutet (SE)
- Department of Protein Science, Science for Life Laboratory, KTH–Royal Institute of Technology, Stockholm, Sweden.
- Uppsala University (SE)
- Department of Pathology, Uppsala University, Uppsala, Sweden.
- Chalmers University of Technology (SE)
- Sahlgrenska University Hospital (SE)
- University of Gothenburg (SE)
- Technical University of Denmark (DK)
- ORCID
- Uhlén, Mathias
- Karlsson, Max J.
- Hober, Andreas
- Scheffel, Julia
- Kotol, David
- Zhong, Wen
- Tebani, Abdellah
- Strandberg, Linnéa
- Edfors, Fredrik
- Sjöstedt, Evelina
- Mulder, Jan
- Mardinoglu, Adil
- Ekblad, Siri
- Dannemeyer, Melanie
- Kanje, Sara
- Rockberg, Johan
- Lundqvist, Magnus
- Malm, Magdalena
- Volk, Anna-Luisa
- Nilsson, Peter
- Månberg, Anna
- Dodig-Crnkovic, Tea
- Pin, Elisa
- Zwahlen, Martin
- Oksvold, Per
- von Feilitzen, Kalle
- Häussler, Ragna S.
- Hong, Mun-Gwan
- Lindskog, Cecilia
- Ponten, Fredrik
- Katona, Borbala
- Nielsen, Jens
- Robinson, Jonathan
- Ayoglu, Burcu
- Mahdessian, Diana
- Sullivan, Devin
- Thul, Peter
- Stadler, Charlotte
- Lundberg, Emma
- Bergström, Göran
- Gummesson, Anders
- Voldborg, Bjørn G.
- Tegel, Hanna
- Hober, Sophia
- Forsström, Björn
- Schwenk, Jochen M.
- Fagerberg, Linn
- Sivertsson, Åsa
- Venue
- Science Signaling
- Published
- 2019-11-26
- Volume
- 12
- Issue
- 609
- ISSN
- 1937-9145 (ISSN-L)
- 1945-0877
- OpenAlex
- W2990646888
- Cited by
- 495
- References
- 1
- Citations by year
- 2026: 84 · 2025: 105 · 2024: 77 · 2023: 87 · 2022: 60 · 2021: 50 · 2020: 31 · 2019: 1
- FWCI
- 14.03
- Type
- journal article
- Language
- en
- Open access
- green
- research.chalmers.se
- Licence
- other-oa
- Locations
- Science Signaling (publishedVersion)
- PubMed (publishedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion, other-oa)
- Funders
- Knut och Alice Wallenbergs Stiftelse
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Keywords
- secreted proteins, protein secretion, intracellular retention, blood protein concentration, Human Protein Atlas, protein localization, tissue-specific gene expression, subcellular localization, single-cell gene expression, diagnostic and therapeutic targets
- MeSH terms
- Humans, Proteome, Databases, Protein, Proteomics
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