Cargando…
Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods
Serum proteomic analysis can be a valuable approach for the discovery of protein biomarkers for early detection or monitoring of a disease. In this study, two analytical methods were compared for quantification of serum proteins in patients with oral cancer. In the first approach, we quantified seru...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4159857/ https://www.ncbi.nlm.nih.gov/pubmed/25196439 http://dx.doi.org/10.3390/ijms150814386 |
_version_ | 1782334298496434176 |
---|---|
author | Yang, Yan Huang, Junwei Rabii, Bahareh Rabii, Ramin Hu, Shen |
author_facet | Yang, Yan Huang, Junwei Rabii, Bahareh Rabii, Ramin Hu, Shen |
author_sort | Yang, Yan |
collection | PubMed |
description | Serum proteomic analysis can be a valuable approach for the discovery of protein biomarkers for early detection or monitoring of a disease. In this study, two analytical methods were compared for quantification of serum proteins in patients with oral cancer. In the first approach, we quantified serum proteins between oral squamous cell carcinoma (OSCC) and healthy control subjects by performing in-solution digestion of serum proteins, isobaric tags for relative and absolute quantification (iTRAQ) labeling of the resulting peptides, strong cation exchange (SCX) fractionation of labeled peptides and finally capillary liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis of the peptides. In the second approach, we first separated serum proteins with SDS-PAGE. The gel-separated proteins were then digested with trypsin and the resulting peptides were labeled with iTRAQ and analyzed with LC-MS/MS for protein quantification. A total of 319 serum proteins were quantified with the first proteomic approach whereas a total of 281 proteins were quantified by the second proteomic approach. Most of the proteins were identified and quantified by both approaches, suggesting that these methods are similarly effective for serum proteome analysis. This study provides compelling evidence that quantitative serum proteomic analysis of OSCC is a valuable approach for identifying differentially expressed proteins in cancer patients’ circulation systems that may be used as potential biomarkers for disease detection. Further validation in large oral cancer patient populations may lead to a simple and low invasive clinical tool for OSCC diagnosis or monitoring. |
format | Online Article Text |
id | pubmed-4159857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-41598572014-09-18 Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods Yang, Yan Huang, Junwei Rabii, Bahareh Rabii, Ramin Hu, Shen Int J Mol Sci Article Serum proteomic analysis can be a valuable approach for the discovery of protein biomarkers for early detection or monitoring of a disease. In this study, two analytical methods were compared for quantification of serum proteins in patients with oral cancer. In the first approach, we quantified serum proteins between oral squamous cell carcinoma (OSCC) and healthy control subjects by performing in-solution digestion of serum proteins, isobaric tags for relative and absolute quantification (iTRAQ) labeling of the resulting peptides, strong cation exchange (SCX) fractionation of labeled peptides and finally capillary liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis of the peptides. In the second approach, we first separated serum proteins with SDS-PAGE. The gel-separated proteins were then digested with trypsin and the resulting peptides were labeled with iTRAQ and analyzed with LC-MS/MS for protein quantification. A total of 319 serum proteins were quantified with the first proteomic approach whereas a total of 281 proteins were quantified by the second proteomic approach. Most of the proteins were identified and quantified by both approaches, suggesting that these methods are similarly effective for serum proteome analysis. This study provides compelling evidence that quantitative serum proteomic analysis of OSCC is a valuable approach for identifying differentially expressed proteins in cancer patients’ circulation systems that may be used as potential biomarkers for disease detection. Further validation in large oral cancer patient populations may lead to a simple and low invasive clinical tool for OSCC diagnosis or monitoring. MDPI 2014-08-18 /pmc/articles/PMC4159857/ /pubmed/25196439 http://dx.doi.org/10.3390/ijms150814386 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Yang, Yan Huang, Junwei Rabii, Bahareh Rabii, Ramin Hu, Shen Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods |
title | Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods |
title_full | Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods |
title_fullStr | Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods |
title_full_unstemmed | Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods |
title_short | Quantitative Proteomic Analysis of Serum Proteins from Oral Cancer Patients: Comparison of Two Analytical Methods |
title_sort | quantitative proteomic analysis of serum proteins from oral cancer patients: comparison of two analytical methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4159857/ https://www.ncbi.nlm.nih.gov/pubmed/25196439 http://dx.doi.org/10.3390/ijms150814386 |
work_keys_str_mv | AT yangyan quantitativeproteomicanalysisofserumproteinsfromoralcancerpatientscomparisonoftwoanalyticalmethods AT huangjunwei quantitativeproteomicanalysisofserumproteinsfromoralcancerpatientscomparisonoftwoanalyticalmethods AT rabiibahareh quantitativeproteomicanalysisofserumproteinsfromoralcancerpatientscomparisonoftwoanalyticalmethods AT rabiiramin quantitativeproteomicanalysisofserumproteinsfromoralcancerpatientscomparisonoftwoanalyticalmethods AT hushen quantitativeproteomicanalysisofserumproteinsfromoralcancerpatientscomparisonoftwoanalyticalmethods |