Literature DB >> 21761300

Laser capture microdissection applications in breast cancer proteomics.

René B H Braakman1, Theo M Luider, John W M Martens, John A Foekens, Arzu Umar.   

Abstract

Breast cancer tissues are characterized by cellular heterogeneity, representing a mixture of, e.g., healthy epithelial ducts, invasive or in situ tumor cells, surrounding stroma, infiltrating immune cells, blood vessels, and capillaries. As a consequence, protein extracts from whole tissue lysates also represent a variety of cell types present in the tissues under examination. This, however, seriously hampers the analysis of tumor cell-specific signals, which is of interest when performing biomarker discovery-type of studies. Therefore, laser capture microdissection is a perfect tool to isolate a relatively pure population of cells of interest, such as tumor cells. In this chapter, we describe the use of the PALM MicroBeam system for laser microdissection and pressure catapulting. Protocols are provided for sectioning, staining, microdissection, sample preparation, and mass spectrometric analysis of snap frozen breast cancer tissue.

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Year:  2011        PMID: 21761300     DOI: 10.1007/978-1-61779-163-5_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  Protein analysis through Western blot of cells excised individually from human brain and muscle tissue.

Authors:  A O Koob; L Bruns; C Prassler; E Masliah; T Klopstock; A Bender
Journal:  Anal Biochem       Date:  2012-03-05       Impact factor: 3.365

2.  Proteomic studies in breast cancer (Review).

Authors:  Xian-Ju Qin; Bruce X Ling
Journal:  Oncol Lett       Date:  2012-01-18       Impact factor: 2.967

3.  A quantitative proteomic workflow for characterization of frozen clinical biopsies: laser capture microdissection coupled with label-free mass spectrometry.

Authors:  John P Shapiro; Sabyasachi Biswas; Anand S Merchant; Anjali Satoskar; Cenny Taslim; Shili Lin; Brad H Rovin; Chandan K Sen; Sashwati Roy; Michael A Freitas
Journal:  J Proteomics       Date:  2012-09-25       Impact factor: 4.044

4.  Proteomic Profiling in the Brain of CLN1 Disease Model Reveals Affected Functional Modules.

Authors:  Saara Tikka; Evanthia Monogioudi; Athanasios Gotsopoulos; Rabah Soliymani; Francesco Pezzini; Enzo Scifo; Kristiina Uusi-Rauva; Jaana Tyynelä; Marc Baumann; Anu Jalanko; Alessandro Simonati; Maciej Lalowski
Journal:  Neuromolecular Med       Date:  2015-12-26       Impact factor: 3.843

Review 5.  Proteomics pipeline for biomarker discovery of laser capture microdissected breast cancer tissue.

Authors:  Ning Qing Liu; René B H Braakman; Christoph Stingl; Theo M Luider; John W M Martens; John A Foekens; Arzu Umar
Journal:  J Mammary Gland Biol Neoplasia       Date:  2012-05-30       Impact factor: 2.673

6.  New methods in mammary gland development and cancer: proteomics, epigenetics, symmetric division and metastasis.

Authors:  Mohamed Bentires-Alj; Marina Glukhova; Nancy Hynes; Maria Vivanco
Journal:  Breast Cancer Res       Date:  2012-07-19       Impact factor: 6.466

7.  Ensuring good quality RNA for quantitative real-time PCR isolated from renal proximal tubular cells using laser capture microdissection.

Authors:  Jie Yin Yee; Lie Michael George Limenta; Keith Rogers; Susan Mary Rogers; Vanessa S Y Tay; Edmund J D Lee
Journal:  BMC Res Notes       Date:  2014-01-27

8.  Loss of stromal caveolin-1 expression: a novel tumor microenvironment biomarker that can predict poor clinical outcomes for pancreatic cancer.

Authors:  Tao Shan; Hongwei Lu; Hong Ji; Yiming Li; Jian Guo; Xi Chen; Tao Wu
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240

  8 in total

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