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Identification of Unambiguous Borrelia Peptides in Human Urine Using Affinity Capture and Mass Spectrometry.
Cornero, Rocio; Irfan, Sumaiya Safia; Cachaco, Silvia; Zhou, Weidong; Byne, Ahana; Howard, Marissa; McIntyre, Hope; Birkaya, Barbara; Liotta, Lance; Luchini, Alessandra.
Afiliación
  • Cornero R; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • Irfan SS; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • Cachaco S; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • Zhou W; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • Byne A; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • Howard M; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • McIntyre H; Lyme Hope, LLC, Mount Airy, MD, USA.
  • Birkaya B; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • Liotta L; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA.
  • Luchini A; Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA. aluchini@gmu.edu.
Methods Mol Biol ; 2742: 105-122, 2024.
Article en En | MEDLINE | ID: mdl-38165619
ABSTRACT
The combination of advanced mass spectrometry and enrichment-based sample preparation methods has enhanced analytical capabilities in clinical proteomics. In this chapter, we describe a method of proteome analysis to identify Borrelia-derived peptides in urine that includes a sample affinity enrichment method coupled with liquid chromatography tandem mass spectrometry analysis and a bioinformatic peptide authentication algorithm.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Borrelia Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Borrelia Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos