Literature DB >> 21761297

Profiling solid tumor heterogeneity by LCM and biological MS of fresh-frozen tissue sections.

Donald J Johann1, Sumana Mukherjee, DaRue A Prieto, Timothy D Veenstra, Josip Blonder.   

Abstract

The heterogeneous nature of solid tumors represents a common problem in mass spectrometry (MS)-based analysis of fresh-frozen tissue specimens. Here, we describe a method that relies on synergy between laser capture microdissection (LCM) and MS for enhanced molecular profiling of solid tumors. This method involves dissection of homogeneous histologic cell types from thin fresh-frozen tissue sections via LCM, coupled with liquid chromatography (LC)-MS analysis. Such an approach enables an in-depth molecular profiling of captured cells. This is a bottom-up proteomic approach, where proteins are identified through peptide sequencing and matching against a specific proteomic database. Sample losses are minimized, since lysis, solubilization, and digestion are carried out directly on LCM caps in buffered methanol using a single tube, thus reducing sample loss between these steps. The rationale for the LCM-MS coupling is that once the optimal method parameters are established for a solid tumor of interest, homogeneous histologic tumor/tissue cells (i.e., tumor proper, stroma, etc.) can be effectively studied for potential biomarkers, drug targets, pathway analysis, as well as enhanced understanding of the pathological process under study.

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Year:  2011        PMID: 21761297     DOI: 10.1007/978-1-61779-163-5_8

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


  6 in total

1.  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

2.  How to get the most from microarray data: advice from reverse genomics.

Authors:  Ivan P Gorlov; Ji-Yeon Yang; Jinyoung Byun; Christopher Logothetis; Olga Y Gorlova; Kim-Anh Do; Christopher Amos
Journal:  BMC Genomics       Date:  2014-03-21       Impact factor: 3.969

3.  Spatially-Resolved Top-down Proteomics Bridged to MALDI MS Imaging Reveals the Molecular Physiome of Brain Regions.

Authors:  Vivian Delcourt; Julien Franck; Jusal Quanico; Jean-Pascal Gimeno; Maxence Wisztorski; Antonella Raffo-Romero; Firas Kobeissy; Xavier Roucou; Michel Salzet; Isabelle Fournier
Journal:  Mol Cell Proteomics       Date:  2017-11-09       Impact factor: 5.911

Review 4.  Advances in Proteomic Technologies and Its Contribution to the Field of Cancer.

Authors:  Mehdi Mesri
Journal:  Adv Med       Date:  2014-09-07

Review 5.  In vitro comparative models for canine and human breast cancers.

Authors:  Simona Visan; Ovidiu Balacescu; Ioana Berindan-Neagoe; Cornel Catoi
Journal:  Clujul Med       Date:  2016-01-15

6.  Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics.

Authors:  Xiaoying Ye; Brian T Luke; Bih-Rong Wei; Jan A Kaczmarczyk; Jadranka Loncarek; Jennifer E Dwyer; Donald J Johann; Richard G Saul; Dwight V Nissley; Frank McCormick; Gordon R Whiteley; Josip Blonder
Journal:  Oncotarget       Date:  2018-05-29
  6 in total

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