Label-free Selected Reaction Monitoring Enables Multiplexed Quantitation of S100 Protein Isoforms in Cancer Cells

被引:14
作者
Martinez-Aguilar, Juan [1 ]
Molloy, Mark P. [1 ,2 ]
机构
[1] Macquarie Univ, Dept Chem & Biomol Sci, Sydney, NSW 2109, Australia
[2] Macquarie Univ, APAF, Sydney, NSW 2109, Australia
关键词
S100; proteins; selected reaction monitoring; label-free quantitation; cancer biomarkers; PROGNOSTIC MARKER; MASS-SPECTROMETRY; DOWN-REGULATION; EXPRESSION; IDENTIFICATION; METASTASIS; PROGRESSION; SERUM; PREDICTION; BIOMARKERS;
D O I
10.1021/pr400251t
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In humans, the S100 protein family is composed of 21 highly related low molecular weight (similar to 10 kDa) proteins. These proteins are known to have diagnostic, prognostic, and predictive value in a variety of cancers, but their small size and high sequence homology present a challenging scenario for quantitative bioanalytical procedures. Here, we developed a multiplexed, label-free selected reaction monitoring (SRM) assay to specifically measure the S100 protein isoform family in cancer cells. Several normalization parameters associated with label-free SRM quantitation were investigated to derive a method with optimal precision. We detected 11 S100 isoforms across a panel of 9 colon and breast cancer cell lines. The quantitative potential of the S100 assays for biomarker discovery was demonstrated by studying the isogenic cell lines SW480 and SW620, a cellular model of colon cancer progression. Our findings were shown to be in agreement with previously published polysomal mRNA level quantitation for S100 genes in these cell lines. Comparison of the quantitation results using label-free SRM with those obtained using stable-isotope labeled peptide standards demonstrated reliability of the method. These data support the use of SRM to quantitate S100 protein isoforms as these are important players in a broad range of human diseases.
引用
收藏
页码:3679 / 3688
页数:10
相关论文
共 50 条
[1]   S100P: a novel therapeutic target for cancer [J].
Arumugam, Thiruvengadam ;
Logsdon, Craig D. .
AMINO ACIDS, 2011, 41 (04) :893-899
[2]   CHARACTERIZATION OF THE TUMOR SUPPRESSOR PROTEIN-P53 AS A PROTEIN-KINASE-C SUBSTRATE AND A S100B-BINDING PROTEIN [J].
BAUDIER, J ;
DELPHIN, C ;
GRUNWALD, D ;
KHOCHBIN, S ;
LAWRENCE, JJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1992, 89 (23) :11627-11631
[3]   Monitoring protein expression in whole-cell extracts by targeted label- and standard-free LC-MS/MS [J].
Bluemlein, Katharina ;
Ralser, Markus .
NATURE PROTOCOLS, 2011, 6 (06) :859-869
[4]  
BRUN JG, 1994, J RHEUMATOL, V21, P733
[5]   Large-scale proteomic identification of S100 proteins in breast cancer tissues [J].
Cancemi, Patrizia ;
Di Cara, Gianluca ;
Albanese, Nadia Ninfa ;
Costantini, Francesca ;
Marabeti, Maria Rita ;
Musso, Rosa ;
Lupo, Carmelo ;
Roz, Elena ;
Pucci-Minafra, Ida .
BMC CANCER, 2010, 10
[6]  
Choi JH, 2012, HISTOL HISTOPATHOL, V27, P1439, DOI 10.14670/HH-27.1439
[7]   Expression of S100A4 protein is associated with metastasis and reduced survival in human bladder cancer [J].
Davies, BR ;
O'Donnell, M ;
Durkan, GC ;
Rudland, PS ;
Barraclough, R ;
Neal, DE ;
Mellon, JK .
JOURNAL OF PATHOLOGY, 2002, 196 (03) :292-299
[8]   Intracellular and extracellular roles of s100 proteins [J].
Donato, R .
MICROSCOPY RESEARCH AND TECHNIQUE, 2003, 60 (06) :540-551
[9]   Proteins of the S100 family regulate the oligomerization of p53 tumor suppressor [J].
Fernandez-Fernandez, MR ;
Veprintsev, DB ;
Fersht, AR .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (13) :4735-4740
[10]   Expression of the pro-inflammatory protein S100A12 (EN-RAGE) in rheumatoid and psoriatic arthritis [J].
Foell, D ;
Kane, D ;
Bresnihan, B ;
Vogl, T ;
Nacken, W ;
Sorg, C ;
FitzGerald, O ;
Roth, J .
RHEUMATOLOGY, 2003, 42 (11) :1383-1389