Literature DB >> 21526778

High recovery FASP applied to the proteomic analysis of microdissected formalin fixed paraffin embedded cancer tissues retrieves known colon cancer markers.

Jacek R Wiśniewski1, Pawel Ostasiewicz, Matthias Mann.   

Abstract

Proteomic analysis of samples isolated by laser capture microdissection from clinical specimens requires sample preparation and fractionation methods suitable for small amounts of protein. Here we describe a streamlined filter-aided sample preparation (FASP) workflow that allows efficient analysis of lysates from low numbers of cells. Addition of carrier substances such as polyethylene glycol or dextran to the processed samples improves the peptide yields in the low to submicrogram range. In a single LC-MS/MS run, analyses of 500, 1000, and 3000 cells allowed identification of 905, 1536, and 2055 proteins, respectively. Incorporation of an additional SAX fractionation step at somewhat higher amounts enabled the analysis of formalin fixed and paraffin embedded human tissues prepared by LCM to a depth of 3600-4400 proteins per single experiment. We applied this workflow to compare archival neoplastic and matched normal colonic mucosa cancer specimens for three patients. Label-free quantification of more than 6000 proteins verified this technology through the differential expression of 30 known colon cancer markers. These included Carcino-Embryonic Antigen (CEA), the most widely used colon cancer marker, complement decay accelerating factor (DAF, CD55) and Metastasis-associated in colon cancer protein 1 (MACC1). Concordant with literature knowledge, mucin 1 was overexpressed and mucin 2 underexpressed in all three patients. These results show that FASP is suitable for the low level analysis of microdissected tissue and that it has the potential for exploration of clinical samples for biomarker and drug target discovery.

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Year:  2011        PMID: 21526778     DOI: 10.1021/pr200019m

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


  87 in total

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Journal:  Analyst       Date:  2019-01-28       Impact factor: 4.616

2.  Quantitative assessment of in-solution digestion efficiency identifies optimal protocols for unbiased protein analysis.

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3.  Proteomic Analysis of Single Mammalian Cells Enabled by Microfluidic Nanodroplet Sample Preparation and Ultrasensitive NanoLC-MS.

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Journal:  Angew Chem Int Ed Engl       Date:  2018-06-14       Impact factor: 15.336

4.  Immunohistochemical staining, laser capture microdissection, and filter-aided sample preparation-assisted proteomic analysis of target cell populations within tissue samples.

Authors:  Jintang He; Jianhui Zhu; Yashu Liu; Jing Wu; Song Nie; Jason A Heth; Karin M Muraszko; Xing Fan; David M Lubman
Journal:  Electrophoresis       Date:  2013-04-27       Impact factor: 3.535

5.  Spatially Resolved Proteome Mapping of Laser Capture Microdissected Tissue with Automated Sample Transfer to Nanodroplets.

Authors:  Ying Zhu; Maowei Dou; Paul D Piehowski; Yiran Liang; Fangjun Wang; Rosalie K Chu; William B Chrisler; Jordan N Smith; Kaitlynn C Schwarz; Yufeng Shen; Anil K Shukla; Ronald J Moore; Richard D Smith; Wei-Jun Qian; Ryan T Kelly
Journal:  Mol Cell Proteomics       Date:  2018-06-24       Impact factor: 5.911

Review 6.  Next-generation proteomics: towards an integrative view of proteome dynamics.

Authors:  A F Maarten Altelaar; Javier Munoz; Albert J R Heck
Journal:  Nat Rev Genet       Date:  2012-12-04       Impact factor: 53.242

7.  Coupling methanol denaturation, immobilized trypsin digestion, and accurate mass and time tagging for liquid-chromatography-based shotgun proteomics of low nanogram amounts of RAW 264.7 cell lysate.

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Journal:  Anal Chem       Date:  2012-10-05       Impact factor: 6.986

8.  Promoter identification and transcriptional regulation of the metastasis gene MACC1 in colorectal cancer.

Authors:  Manisha Juneja; Katharina Ilm; Peter M Schlag; Ulrike Stein
Journal:  Mol Oncol       Date:  2013-06-06       Impact factor: 6.603

9.  Target proteomic profiling of frozen pancreatic CD24+ adenocarcinoma tissues by immuno-laser capture microdissection and nano-LC-MS/MS.

Authors:  Jianhui Zhu; Song Nie; Jing Wu; David M Lubman
Journal:  J Proteome Res       Date:  2013-05-29       Impact factor: 4.466

10.  SNaPP: Simplified Nanoproteomics Platform for Reproducible Global Proteomic Analysis of Nanogram Protein Quantities.

Authors:  Eric L Huang; Paul D Piehowski; Daniel J Orton; Ronald J Moore; Wei-Jun Qian; Cameron P Casey; Xiaofei Sun; Sudhansu K Dey; Kristin E Burnum-Johnson; Richard D Smith
Journal:  Endocrinology       Date:  2016-01-08       Impact factor: 4.736

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