Molecular Characterization of Cellular Proteins from Colorectal Tumors

Author:

Szymczyk Piotr1,Krajewska Wanda M.1,Jakubik Jaroslaw2,Berner Andrzej2,Janczukowicz Janusz3,Mikulska Urszula4,Berner Jan2,Kiliańska Zofia M.1

Affiliation:

1. Department of Cytobiochemistry, University of Lódz, Banacha 12/16, 90-237 Lódz, Poland

2. Department of Surgical Oncology, Medical University of Lódz, Paderewskiego 4, 93-509 Lódz, Poland

3. Department of Pathomorphology, Medical University of Lódz, Czechoslowacka 8/10, 92-216 Lódz, Poland

4. First Clinic of General Surgery, Medical University of Lódz, Kopcińskiego 22, 90-153 Lódz, Poland

Abstract

Aims and background Recent evidence has suggested that progressive stages of colorectal tumorigenesis can be defined by a sequence of genetic events characterized by altered expression of certain genes and the appearance of cancer-specific proteins. Although the significance of these events is still not clear, expression of cancer-specific protein components may be directly involved in the neoplastic transformation. The purpose of the present study was to compare molecular characteristics of cellular proteins from human colorectal tumors and normal colonic mucosa. Methods Normal mucosa and colorectal tumors from 18 patients were fractionated by a differential centrifugation scheme into four cellular fractions, i.e., nuclear, mitochondrial (10P), microsomal (100P) and cytosolic (100S). The proteins of these fractions from normal and tumorigenic mucosa were analyzed by one-dimensional polyacrylamide gel electrophoresis followed by Coomassie brilliant blue R-250 and silver nitrate staining. Nuclear proteins from normal and neoplastic tissues which had revealed the most significant diversities were further characterized by two-dimensional gel electrophoresis. Electrophoretically cancer-specific nuclear proteins in the molecular mass zone 35-40 kDa were used as immunogen to produce rabbit polyclonal antibodies. Results Electrophoretic analysis by one-dimensional gel electrophoresis showed clear differences in molecular characteristics of cellular proteins between normal and tumorigenic mucosa, especially among nuclear fractions. The latter were also confirmed by their two-dimensional electrophoresis results. Rabbit antibodies raised against electrophoretically specific nuclear proteins characterized by molecular mass of 35-40 kDa cross-reacted with 36 kDa polypeptide in 15 of 18 (83.3%) studied nuclear fractions of colorectal tumors but not with any normal mucosa. In some cases, nuclear cancer-associated components of 38 and 40 kDa were also recognized by these antibodies. Conclusions During colorectal carcinogenesis, specific expression of several nuclear proteins takes place. One of them, the polypeptide of 36 kDa not found in normal colonic epithelium, was shared by over 83% of the studied carcinomas despite variations in detailed cancer properties. This particular nuclear protein may be considered as a potential marker for the colon malignancy.

Publisher

SAGE Publications

Subject

Cancer Research,Oncology,General Medicine

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Differential expression proteomics of human colon cancer;American Journal of Physiology-Gastrointestinal and Liver Physiology;2006-06

2. Web-based data warehouse on gene expression in human colorectal cancer;PROTEOMICS;2005-08

3. Expression and functional proteomics studies in colorectal cancer;Pathology - Research and Practice;2004-04

4. Accuracy of two-dimensional electrophoresis for target discovery in human colorectal cancer;The Pharmacogenomics Journal;2001-02

5. Colorectal cancer-associated nuclear antigen;Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease;2000-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3