Array-Based Profiling of Proteins and Autoantibody Repertoires in CSF.

Affinity proteomics Antibody arrays Antigen arrays Autoantibodies Autoantibody profiling Cerebrospinal fluid Protein arrays Protein profiling

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 22 8 2019
pubmed: 23 8 2019
medline: 30 5 2020
Statut: ppublish

Résumé

Protein profiling enabled through affinity proteomics represents a powerful strategy for analysis of complex samples such as human body fluids. Cerebrospinal fluid (CSF) is the proximal fluid of the central nervous system and is commonly analyzed in the context of neurological diseases. Through the presence of brain-derived proteins, this fluid can offer insight into the physiological state of the brain. Here, we describe multiplex and flexible protein and autoantibody profiling approaches using suspension bead arrays. Through minimal sample processing, these methods enable high-throughput analysis of hundreds of samples and proteins in one single assay and thereby provide powerful approaches for discovery of disease-associated proteins and autoantigens.

Identifiants

pubmed: 31432421
doi: 10.1007/978-1-4939-9706-0_19
doi:

Substances chimiques

Autoantibodies 0
Autoantigens 0
Proteome 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

303-318

Auteurs

Elisa Pin (E)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden. elisa.pin@scilifelab.se.

Ronald Sjöberg (R)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

Eni Andersson (E)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

Cecilia Hellström (C)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

Jennie Olofsson (J)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

August Jernbom Falk (A)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

Sofia Bergström (S)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

Julia Remnestål (J)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

David Just (D)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

Peter Nilsson (P)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden.

Anna Månberg (A)

Division of Affinity Proteomics, Department of Protein Science, SciLifeLab, KTH-Royal Institute of Technology, Stockholm, Sweden. anna.manberg@scilifelab.se.

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Classifications MeSH