Discovery of candidate biomarkers within the entire proteome is one of the most important and challenging goals in proteomic research. Mass spectrometry-based proteomic is a modern and promising technology for semiquantitative and qualitative assessment of proteins, enabling protein sequencing and identification with exquisite accuracy and sensitivity. For mass spectrometry analysis, protein extractions from tissues of interest or body fluids with subsequent protein fractionation represent an important and unavoidable step in the workflow for biomarker discovery. The aim of our chapter is to provide practical lab procedures for sample digestion and protein fractionation for subsequent mass spectrometry analysis.

Mass spectrometry-based biomarker discovery / Zhou, Weidong; Petricoin III, Emanuel F.; Longo, Caterina. - 823:(2012), pp. 251-264. [10.1007/978-1-60327-216-2_16]

Mass spectrometry-based biomarker discovery

LONGO, Caterina
2012

Abstract

Discovery of candidate biomarkers within the entire proteome is one of the most important and challenging goals in proteomic research. Mass spectrometry-based proteomic is a modern and promising technology for semiquantitative and qualitative assessment of proteins, enabling protein sequencing and identification with exquisite accuracy and sensitivity. For mass spectrometry analysis, protein extractions from tissues of interest or body fluids with subsequent protein fractionation represent an important and unavoidable step in the workflow for biomarker discovery. The aim of our chapter is to provide practical lab procedures for sample digestion and protein fractionation for subsequent mass spectrometry analysis.
2012
Methods in Molecular Biology
9781603272155
HUMANA PRESS INC
Mass spectrometry-based biomarker discovery / Zhou, Weidong; Petricoin III, Emanuel F.; Longo, Caterina. - 823:(2012), pp. 251-264. [10.1007/978-1-60327-216-2_16]
Zhou, Weidong; Petricoin III, Emanuel F.; Longo, Caterina
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1141030
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 5
social impact