Literature DB >> 15253443

Proteomic analysis of ductal carcinoma of the breast using laser capture microdissection, LC-MS, and 16O/18O isotopic labeling.

Li Zang1, Darryl Palmer Toy, William S Hancock, Dennis C Sgroi, Barry L Karger.   

Abstract

The goal of this study was the development of a method for quantitative expression proteomics on the limited sample amounts obtained through laser capture microdissection (LCM) of tissues, e.g., approximately 10 000 cells, which typically contain roughly 1-4 microg protein. The 16O/18O labeling method was selected as an approach to measure differential expression. A sample preparation protocol including lysis, digestion and 16O/18O labeling was first developed for LCM cell samples. The selected protocol was examined using two LCM caps of 10 000 cells from invasive ductal carcinoma of the breast and shown to be repeatable. A further test of LC-IT-MS/MS in combination with the 16O/18O post-digestion labeling method for studying low level samples was conducted first on a single protein (BSA) and then on a 5-standard protein mixture digest of different protein amounts, each with a total content approximately 1 microg. Next, protein expression was compared between 10 000 cells, each of microdissected normal ductal epithelium and metastatic ductal carcinoma, using the developed method. The proteins from the microdissected cells were extracted, precipitated, digested with trypsin and then 16O/18O labeled. The normal and metastatic cell samples were analyzed using reversed phase LC-ESI-MS/MS on the ion trap mass spectrometer. A total of 76 proteins were identified. Some, such as mitochondrial isocitrate dehydrogenase, actin and 14-3-3 protein xi/delta were found to be significantly up-regulated in the breast tumor cells.

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Year:  2004        PMID: 15253443     DOI: 10.1021/pr034131l

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  37 in total

1.  Proteomic profiling of a layered tissue reveals unique glycolytic specializations of photoreceptor cells.

Authors:  Boris Reidel; J Will Thompson; Sina Farsiu; M Arthur Moseley; Nikolai P Skiba; Vadim Y Arshavsky
Journal:  Mol Cell Proteomics       Date:  2010-12-20       Impact factor: 5.911

2.  Simultaneous quantification and identification using 18O labeling with an ion trap mass spectrometer and the analysis software application "ZoomQuant".

Authors:  Wayne A Hicks; Brian D Halligan; Ronit Y Slyper; Simon N Twigger; Andrew S Greene; Michael Olivier
Journal:  J Am Soc Mass Spectrom       Date:  2005-04-15       Impact factor: 3.109

Review 3.  A proteomic primer for the clinician.

Authors:  Yurong Guo; Zongming Fu; Jennifer E Van Eyk
Journal:  Proc Am Thorac Soc       Date:  2007-01

4.  Integration of 18O labeling and solution isoelectric focusing in a shotgun analysis of mitochondrial proteins.

Authors:  Jinshan Wang; Peter Gutierrez; Nathan Edwards; Catherine Fenselau
Journal:  J Proteome Res       Date:  2007-11-10       Impact factor: 4.466

Review 5.  Neuroproteomics as a promising tool in Parkinson's disease research.

Authors:  Ilse S Pienaar; William M U Daniels; Jürgen Götz
Journal:  J Neural Transm (Vienna)       Date:  2008-06-04       Impact factor: 3.575

Review 6.  18O stable isotope labeling in MS-based proteomics.

Authors:  Xiaoying Ye; Brian Luke; Thorkell Andresson; Josip Blonder
Journal:  Brief Funct Genomic Proteomic       Date:  2009-01-16

Review 7.  Metabolic genes in cancer: their roles in tumor progression and clinical implications.

Authors:  Eiji Furuta; Hiroshi Okuda; Aya Kobayashi; Kounosuke Watabe
Journal:  Biochim Biophys Acta       Date:  2010-02-01

8.  Enhanced interferon signaling pathway in oral cancer revealed by quantitative proteome analysis of microdissected specimens using 16O/18O labeling and integrated two-dimensional LC-ESI-MALDI tandem MS.

Authors:  Lang-Ming Chi; Chien-Wei Lee; Kai-Ping Chang; Sheng-Po Hao; Hang-Mao Lee; Ying Liang; Chuen Hsueh; Chia-Jung Yu; I-Neng Lee; Yin-Ju Chang; Shih-Ying Lee; Yuan-Ming Yeh; Yu-Sun Chang; Kun-Yi Chien; Jau-Song Yu
Journal:  Mol Cell Proteomics       Date:  2009-03-18       Impact factor: 5.911

9.  Comparison of multidimensional shotgun technologies targeting tissue proteomics.

Authors:  Xueping Fang; Brian M Balgley; Weijie Wang; Deric M Park; Cheng S Lee
Journal:  Electrophoresis       Date:  2009-12       Impact factor: 3.535

10.  Identification of a putative protein profile associated with tamoxifen therapy resistance in breast cancer.

Authors:  Arzu Umar; Hyuk Kang; Annemieke M Timmermans; Maxime P Look; Marion E Meijer-van Gelder; Michael A den Bakker; Navdeep Jaitly; John W M Martens; Theo M Luider; John A Foekens; Ljiljana Pasa-Tolić
Journal:  Mol Cell Proteomics       Date:  2009-03-27       Impact factor: 5.911

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