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Low-Abundance Protein Enrichment for Medical Applications: The Involvement of Combinatorial Peptide Library Technique.
Boschetti, Egisto; Righetti, Pier Giorgio.
Afiliação
  • Boschetti E; JAM Conseil, 92200 Neuilly-sur-Seine, France.
  • Righetti PG; Department of Chemistry, Politecnico di Milano, 20133 Milan, Italy.
Int J Mol Sci ; 24(12)2023 Jun 19.
Article em En | MEDLINE | ID: mdl-37373476
ABSTRACT
The discovery of low- and very low-abundance proteins in medical applications is considered a key success factor in various important domains. To reach this category of proteins, it is essential to adopt procedures consisting of the selective enrichment of species that are present at extremely low concentrations. In the past few years pathways towards this objective have been proposed. In this review, a general landscape of the enrichment technology situation is made first with the presentation and the use of combinatorial peptide libraries. Then, a description of this peculiar technology for the identification of early-stage biomarkers for well-known pathologies with concrete examples is given. In another field of medical applications, the determination of host cell protein traces potentially present in recombinant therapeutic proteins, such as antibodies, is discussed along with their potentially deleterious effects on the health of patients on the one hand, and on the stability of these biodrugs on the other hand. Various additional applications of medical interest are disclosed for biological fluids investigations where the target proteins are present at very low concentrations (e.g., protein allergens).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biblioteca de Peptídeos / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biblioteca de Peptídeos / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Mol Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França
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