Glycopeptide enrichment can be a strategy to allow the detection of peptides belonging to low abundance proteins in complex matrixes such as blood serum or plasma. Though several glycopeptide enrichment protocols have shown excellent sensitivities in this respect, few reports have demonstrated the applicability of these methods to relatively large sample cohorts. In this work, a fast protocol based on TiO 2 enrichment and highly sensitive mass spectrometric analysis by Selected Reaction Monitoring (SRM) has been applied to a cohort of serum samples from prostate cancer and benign prostatic hyperplasia patients in order to detect low abundance proteins in a single LC-MS/MS analysis in nanoscale format, without immunodepletion or peptide fractionation. A peptide library of over 700 formerly N-glycosylated peptides was created by data dependent analysis. Then, 16 medium to low abundance proteins were selected for detection by single injection LC-MS/MS based on selected-reaction monitoring. Results demonstrated the consistent detection of the low-level proteins under investigation. Following label-free quantification, four proteins (Adipocyte plasma membrane-associated protein, Periostin, Cathepsin D and Lysosome-associated membrane glycoprotein 2) were found significantly increased in prostate cancer sera compared to the control group. [Figure not available: see fulltext.].

High-throughput detection of low abundance sialylated glycoproteins in human serum by TiO 2 enrichment and targeted LC-MS/MS analysis: application to a prostate cancer sample set / C. Gabriele, F. Cantiello, A. Nicastri, F. Crocerossa, G.I. Russo, A. Cicione, M.D. Vartolomei, M. Ferro, G. Morgia, G. Lucarelli, G. Cuda, R. Damiano, M. Gaspari. - In: ANALYTICAL AND BIOANALYTICAL CHEMISTRY. - ISSN 1618-2642. - 411:3(2019 Jan), pp. 755-763. [10.1007/s00216-018-1497-5]

High-throughput detection of low abundance sialylated glycoproteins in human serum by TiO 2 enrichment and targeted LC-MS/MS analysis: application to a prostate cancer sample set

M. Ferro;G. Lucarelli;
2019

Abstract

Glycopeptide enrichment can be a strategy to allow the detection of peptides belonging to low abundance proteins in complex matrixes such as blood serum or plasma. Though several glycopeptide enrichment protocols have shown excellent sensitivities in this respect, few reports have demonstrated the applicability of these methods to relatively large sample cohorts. In this work, a fast protocol based on TiO 2 enrichment and highly sensitive mass spectrometric analysis by Selected Reaction Monitoring (SRM) has been applied to a cohort of serum samples from prostate cancer and benign prostatic hyperplasia patients in order to detect low abundance proteins in a single LC-MS/MS analysis in nanoscale format, without immunodepletion or peptide fractionation. A peptide library of over 700 formerly N-glycosylated peptides was created by data dependent analysis. Then, 16 medium to low abundance proteins were selected for detection by single injection LC-MS/MS based on selected-reaction monitoring. Results demonstrated the consistent detection of the low-level proteins under investigation. Following label-free quantification, four proteins (Adipocyte plasma membrane-associated protein, Periostin, Cathepsin D and Lysosome-associated membrane glycoprotein 2) were found significantly increased in prostate cancer sera compared to the control group. [Figure not available: see fulltext.].
APMAP; CTSD; LAMP2; POSTN; Prostate cancer; Serum proteomics;
Settore MEDS-14/C - Urologia
gen-2019
28-nov-2018
Article (author)
File in questo prodotto:
File Dimensione Formato  
s00216-018-1497-5-1.pdf

accesso riservato

Tipologia: Publisher's version/PDF
Licenza: Nessuna licenza
Dimensione 1.14 MB
Formato Adobe PDF
1.14 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
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: https://hdl.handle.net/2434/1127440
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? 20
  • OpenAlex ND
social impact