Histone Protein Epitope Mapping for Autoantibody Recognition in Rheumatoid Arthritis.


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: 13 12 2018
pubmed: 13 12 2018
medline: 7 6 2019
Statut: ppublish

Résumé

Deiminated proteins are the target of diagnostic anti-citrullinated peptide/protein autoantibodies (ACPA) in rheumatoid arthritis (RA). Deiminated histone H4 contained in the neutrophil extracellular traps reacts with ACPA, becoming an interesting diagnostic antigen for RA. The identification of the ACPA binding site in histone H4 was performed experimentally by mapping the complete sequence. The method describes the synthesis of an overlapping peptide library covering the entire deiminated sequence of H4 and its further evaluation in ELISA. A detailed description of an ELISA protocol to test RA patients' sera against the synthesized peptides and ACPA is provided.

Identifiants

pubmed: 30539581
doi: 10.1007/978-1-4939-8949-2_18
doi:

Substances chimiques

Autoantibodies 0
Histones 0
Immunoglobulin G 0
Peptide Library 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

221-228

Auteurs

Feliciana Real-Fernández (F)

Laboratory of Peptide and Protein Chemistry and Biology, Division of Pharmaceutical Sciences and Nutraceutics, Department of Neurofarba, University of Florence, Sesto Fiorentino, Italy.

Federico Pratesi (F)

Clinical Immunology and Allergy Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.

Paola Migliorini (P)

Clinical Immunology and Allergy Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy. paola.migliorini@med.unipi.it.

Paolo Rovero (P)

Laboratory of Peptide and Protein Chemistry and Biology, Division of Pharmaceutical Sciences and Nutraceutics, Department of Neurofarba, University of Florence, Sesto Fiorentino, Italy. paolo.rovero@unifi.it.

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Classifications MeSH