Literature DB >> 28061542

An efficient method for native protein purification in the selected range from prostate cancer tissue digests.

Rumana Ahmad1, Carrie D Nicora2, Anil K Shukla2, Richard D Smith2, Wei-Jun Qian2, Alvin Y Liu3.   

Abstract

BACKGROUND: Prostate cancer (CP) cells differ from their normal counterpart in gene expression. Genes encoding secreted or extracellular proteins with increased expression in CP may serve as potential biomarkers. For their detection and quantification, assays based on monoclonal antibodies are best suited for development in the clinical setting. One approach to obtain antibodies is to use recombinant proteins as immunogen. However, the synthesis of recombinant protein for each identified candidate is time-consuming and expensive. It is also not practical to generate high quality antibodies to all identified candidates individually. Furthermore, non-native forms (e.g., recombinant) of proteins may not always lead to useful antibodies. Our approach was to purify a subset of proteins from CP tissue specimens for use as immunogen.
METHODS: In the present investigation, ten cancer specimens obtained from cases scored Gleason 3+3, 3+4 and 4+3 were digested by collagenase to single cells in serum-free tissue culture media. Cells were pelleted after collagenase digestion, and the cell-free supernatant from each specimen were pooled and used for isolation of proteins in the 10-30 kDa molecular weight range using a combination of sonication, dialysis and Amicon ultrafiltration. Western blotting and mass spectrometry (MS) proteomics were performed to identify the proteins in the selected size fraction.
RESULTS: The presence of cancer-specific anterior gradient 2 (AGR2) and absence of prostate-specific antigen (PSA)/KLK3 were confirmed by Western blotting. Proteomics also detected AGR2 among many other proteins, some outside the selected molecular weight range, as well.
CONCLUSIONS: Using this approach, the potentially harmful (to the mouse host) exogenously added collagenase was removed as well as other abundant prostatic proteins like ACPP/PAP and AZGP1 to preclude the generation of antibodies against these species. The paper presents an optimized scheme for convenient and rapid isolation of native proteins in any desired size range with minor modifications.

Entities:  

Keywords:  Prostate cancer proteins (CP proteins); anterior gradient 2 (AGR2); cancer biomarkers; proteomic analysis; purification of 10–30 kDa proteins

Mesh:

Substances:

Year:  2016        PMID: 28061542      PMCID: PMC5627993          DOI: 10.21037/cco.2016.12.03

Source DB:  PubMed          Journal:  Chin Clin Oncol        ISSN: 2304-3865


  12 in total

1.  Development of an ELISA to detect the secreted prostate cancer biomarker AGR2 in voided urine.

Authors:  Elizabeth A Wayner; Sue-Ing Quek; Rumana Ahmad; Melissa E Ho; Michelle A Loprieno; Yong Zhou; William J Ellis; Lawrence D True; Alvin Y Liu
Journal:  Prostate       Date:  2011-11-09       Impact factor: 4.104

2.  A model for random sampling and estimation of relative protein abundance in shotgun proteomics.

Authors:  Hongbin Liu; Rovshan G Sadygov; John R Yates
Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

3.  Enhanced detection of low abundance human plasma proteins using a tandem IgY12-SuperMix immunoaffinity separation strategy.

Authors:  Wei-Jun Qian; David T Kaleta; Brianne O Petritis; Hongliang Jiang; Tao Liu; Xu Zhang; Heather M Mottaz; Susan M Varnum; David G Camp; Lei Huang; Xiangming Fang; Wei-Wei Zhang; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2008-07-15       Impact factor: 5.911

4.  Analysis of prostate cancer by proteomics using tissue specimens.

Authors:  Alvin Y Liu; Hui Zhang; Carrie M Sorensen; Deborah L Diamond
Journal:  J Urol       Date:  2005-01       Impact factor: 7.450

5.  Mapping N-linked glycosylation sites in the secretome and whole cells of Aspergillus niger using hydrazide chemistry and mass spectrometry.

Authors:  Lu Wang; Uma K Aryal; Ziyu Dai; Alisa C Mason; Matthew E Monroe; Zhi-Xin Tian; Jian-Ying Zhou; Dian Su; Karl K Weitz; Tao Liu; David G Camp; Richard D Smith; Scott E Baker; Wei-Jun Qian
Journal:  J Proteome Res       Date:  2011-12-02       Impact factor: 4.466

6.  Development and evaluation of a micro- and nanoscale proteomic sample preparation method.

Authors:  Haixing Wang; Wei-Jun Qian; Heather M Mottaz; Therese R W Clauss; David J Anderson; Ronald J Moore; David G Camp; Arshad H Khan; Daniel M Sforza; Maria Pallavicini; Desmond J Smith; Richard D Smith
Journal:  J Proteome Res       Date:  2005 Nov-Dec       Impact factor: 4.466

7.  Probability-based evaluation of peptide and protein identifications from tandem mass spectrometry and SEQUEST analysis: the human proteome.

Authors:  Wei-Jun Qian; Tao Liu; Matthew E Monroe; Eric F Strittmatter; Jon M Jacobs; Lars J Kangas; Konstantinos Petritis; David G Camp; Richard D Smith
Journal:  J Proteome Res       Date:  2005 Jan-Feb       Impact factor: 4.466

8.  Gene expression relationship between prostate cancer cells of Gleason 3, 4 and normal epithelial cells as revealed by cell type-specific transcriptomes.

Authors:  Laura E Pascal; Ricardo Z N Vêncio; Laura S Page; Emily S Liebeskind; Christina P Shadle; Pamela Troisch; Bruz Marzolf; Lawrence D True; Leroy E Hood; Alvin Y Liu
Journal:  BMC Cancer       Date:  2009-12-18       Impact factor: 4.430

9.  CD90/THY1 is overexpressed in prostate cancer-associated fibroblasts and could serve as a cancer biomarker.

Authors:  Lawrence D True; Hui Zhang; Mingliang Ye; Chung-Ying Huang; Peter S Nelson; Priska D von Haller; Larry W Tjoelker; Jong-Seo Kim; Wei-Jun Qian; Richard D Smith; William J Ellis; Emily S Liebeskind; Alvin Y Liu
Journal:  Mod Pathol       Date:  2010-06-18       Impact factor: 7.842

Review 10.  The urologic epithelial stem cell database (UESC) - a web tool for cell type-specific gene expression and immunohistochemistry images of the prostate and bladder.

Authors:  Laura E Pascal; Eric W Deutsch; David S Campbell; Martin Korb; Lawrence D True; Alvin Y Liu
Journal:  BMC Urol       Date:  2007-12-11       Impact factor: 2.264

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  1 in total

1.  Portrait of Tissue-Specific Coexpression Networks of Noncoding RNAs (miRNA and lncRNA) and mRNAs in Normal Tissues.

Authors:  Claudia Cava; Gloria Bertoli; Isabella Castiglioni
Journal:  Comput Math Methods Med       Date:  2019-09-03       Impact factor: 2.238

  1 in total

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