Enhanced Validation of Antibodies Enables the Discovery of Missing Proteins.

antibody validation antibody-based proteomics human proteome immunohistochemistry missing proteins protein evidence transcriptomics

Journal

Journal of proteome research
ISSN: 1535-3907
Titre abrégé: J Proteome Res
Pays: United States
ID NLM: 101128775

Informations de publication

Date de publication:
04 12 2020
Historique:
pubmed: 11 11 2020
medline: 22 6 2021
entrez: 10 11 2020
Statut: ppublish

Résumé

The localization of proteins at a tissue- or cell-type-specific level is tightly linked to the protein function. To better understand each protein's role in cellular systems, spatial information constitutes an important complement to quantitative data. The standard methods for determining the spatial distribution of proteins in single cells of complex tissue samples make use of antibodies. For a stringent analysis of the human proteome, we used orthogonal methods and independent antibodies to validate 5981 antibodies that show the expression of 3775 human proteins across all major human tissues. This enhanced validation uncovered 56 proteins corresponding to the group of "missing proteins" and 171 proteins of unknown function. The presented strategy will facilitate further discussions around criteria for evidence of protein existence based on immunohistochemistry and serves as a useful guide to identify candidate proteins for integrative studies with quantitative proteomics methods.

Identifiants

pubmed: 33170010
doi: 10.1021/acs.jproteome.0c00486
pmc: PMC7723238
doi:

Substances chimiques

Antibodies 0
Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4766-4781

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Auteurs

Åsa Sivertsson (Å)

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden.

Emil Lindström (E)

Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.

Per Oksvold (P)

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden.

Borbala Katona (B)

Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.

Feria Hikmet (F)

Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.

Jimmy Vuu (J)

Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.

Jonas Gustavsson (J)

Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.

Evelina Sjöstedt (E)

Department of Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden.

Kalle von Feilitzen (K)

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden.

Caroline Kampf (C)

Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.
Atlas Antibodies AB, 16869 Bromma, Sweden.

Jochen M Schwenk (JM)

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden.

Mathias Uhlén (M)

Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden.
Department of Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden.

Cecilia Lindskog (C)

Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.

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Classifications MeSH