Blood proteome analysis for biomarker discovery represents one of the most challenging tasks to be achieved through clinical proteomics due to the sample complexity, such as the extreme heterogeneity of proteins in very dynamic concentrations, and to the observation of proper sampling and storage conditions. Quantitative and qualitative proteomics profiling of plasma and serum could be useful both for the early detection of diseases and for the evaluation of pathological status. Two main sources of variability can affect the precision and accuracy of the quantitative experiments designed for biomarker discovery and validation. These sources are divided into two categories, pre-analytical and analytical, and are often ignored; however, they can contribute to consistent errors and misunderstanding in biomarker research. In this chapter, we review critical pre-analytical and analytical variables that can influence quantitative proteomics. According to guidelines accepted by proteomics community, we propose some recommendations and strategies for a proper proteomics analysis addressed to biomarker studies.

Direct Assessment of Plasma/Serum Sample Quality for Proteomics Biomarker Investigation / V. Greco, C. Piras, L. Pieroni, A. Urbani (METHODS IN MOLECULAR BIOLOGY). - In: Serum/Plasma Proteomics : Methods and Protocols / [a cura di] D.W. Greening, R.J. Simpson. - [s.l] : Springer, 2017. - ISBN 9781493970568. - pp. 3-21

Direct Assessment of Plasma/Serum Sample Quality for Proteomics Biomarker Investigation

C. Piras;
2017

Abstract

Blood proteome analysis for biomarker discovery represents one of the most challenging tasks to be achieved through clinical proteomics due to the sample complexity, such as the extreme heterogeneity of proteins in very dynamic concentrations, and to the observation of proper sampling and storage conditions. Quantitative and qualitative proteomics profiling of plasma and serum could be useful both for the early detection of diseases and for the evaluation of pathological status. Two main sources of variability can affect the precision and accuracy of the quantitative experiments designed for biomarker discovery and validation. These sources are divided into two categories, pre-analytical and analytical, and are often ignored; however, they can contribute to consistent errors and misunderstanding in biomarker research. In this chapter, we review critical pre-analytical and analytical variables that can influence quantitative proteomics. According to guidelines accepted by proteomics community, we propose some recommendations and strategies for a proper proteomics analysis addressed to biomarker studies.
Biomarkers; Clinical proteomics; Mass spectrometry; Pre-analytical and analytical variables; Sample quality control
Settore BIO/10 - Biochimica
Settore VET/05 - Malattie Infettive degli Animali Domestici
Book Part (author)
File in questo prodotto:
File Dimensione Formato  
2017_Methods Mol_Greco.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Dimensione 370.86 kB
Formato Adobe PDF
370.86 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/553836
Citazioni
  • ???jsp.display-item.citation.pmc??? 10
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 15
social impact