Literature DB >> 22315040

Proteomic analysis in clear cell renal cell carcinoma: identification of differentially expressed protein by 2-D DIGE.

Francesca Raimondo1, Claudia Salemi, Clizia Chinello, Daniela Fumagalli, Lavinia Morosi, Francesco Rocco, Stefano Ferrero, Roberto Perego, Cristina Bianchi, Cecilia Sarto, Marina Pitto, Paolo Brambilla, Fulvio Magni.   

Abstract

Renal cell carcinoma (RCC), the most common neoplasm affecting the adult kidney, is characterised by heterogeneity of histological subtypes, drug resistance, and absence of molecular markers. Two-dimensional difference gel electrophoresis (2-D DIGE) technology in combination with mass spectrometry (MS) was applied to detect differentially expressed proteins in 20 pairs of RCC tissues and matched adjacent normal kidney cortex (ANK), in order to search for RCC markers. After gel analysis by DeCyder 6.5 and EDA software, differentially expressed protein spots were excised from Deep Purple stained preparative 2DE gel. A total of 100 proteins were identified by MS out of 2500 spots, 23 and 77 of these were, respectively, over- and down-expressed in RCC. The Principal Component Analysis applied to gels and protein spots exactly separated the two sample classes in two groups: RCC and ANK. Moreover, some spots, including ANXA2, PPIA, FABP7 and LEG1, resulted highly differential. The DIGE data were also confirmed by immunoblotting analysis for these proteins. In conclusion, we suggest that applying 2-D DIGE to RCC may provide the basis for a better molecular characterization and for the discovery of candidate biomarkers.

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Year:  2012        PMID: 22315040     DOI: 10.1039/c2mb05390j

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  13 in total

1.  [Quantitative and comparative proteomics analysis in clear cell renal cell carcinoma and adjacent noncancerous tissues by 2-D DIGE].

Authors:  Zhuang-Fei Chen; Yao-Jun Xiao; Ze-Hai Huang; Tong Chen; Shan-Chao Zhao; Yao-Dong Jiang; Peng Wu; Shao-Bin Zheng
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-11-20

2.  Prognostic significance of two lipid metabolism enzymes, HADHA and ACAT2, in clear cell renal cell carcinoma.

Authors:  Zuohui Zhao; Jiaju Lu; Liping Han; Xiaoqing Wang; Quanzhan Man; Shuai Liu
Journal:  Tumour Biol       Date:  2015-12-29

3.  Identification of peptide regions of SERPINA1 and ENOSF1 and their protein expression as potential serum biomarkers for gastric cancer.

Authors:  Juan Yang; Xiaofan Xiong; Xiaofei Wang; Bo Guo; Kang He; Chen Huang
Journal:  Tumour Biol       Date:  2015-02-14

Review 4.  Precision Medicine: An Optimal Approach to Patient Care in Renal Cell Carcinoma.

Authors:  Revati Sharma; George Kannourakis; Prashanth Prithviraj; Nuzhat Ahmed
Journal:  Front Med (Lausanne)       Date:  2022-06-14

5.  MALDI imaging mass spectrometry profiling of proteins and lipids in clear cell renal cell carcinoma.

Authors:  Elizabeth Ellen Jones; Thomas W Powers; Benjamin A Neely; Lisa H Cazares; Dean A Troyer; Alexander S Parker; Richard R Drake
Journal:  Proteomics       Date:  2014-03-03       Impact factor: 3.984

6.  Tumor size, stage and grade alterations of urinary peptidome in RCC.

Authors:  Clizia Chinello; Marta Cazzaniga; Gabriele De Sio; Andrew James Smith; Angelica Grasso; Bernardo Rocco; Stefano Signorini; Marco Grasso; Silvano Bosari; Italo Zoppis; Giancarlo Mauri; Fulvio Magni
Journal:  J Transl Med       Date:  2015-10-20       Impact factor: 5.531

7.  Identification of potential serum proteomic biomarkers for clear cell renal cell carcinoma.

Authors:  Juan Yang; Jin Yang; Yan Gao; Lingyu Zhao; Liying Liu; Yannan Qin; Xiaofei Wang; Tusheng Song; Chen Huang
Journal:  PLoS One       Date:  2014-11-04       Impact factor: 3.240

8.  Establishment and characterization of a highly immunogenic human renal carcinoma cell line.

Authors:  Clelia Prattichizzo; Margherita Gigante; Paola Pontrelli; Alessandro Stella; Maria Teresa Rocchetti; Maddalena Gigante; Eugenio Maiorano; Wolfgang Herr; Michele Battaglia; Loreto Gesualdo; Elena Ranieri
Journal:  Int J Oncol       Date:  2016-05-27       Impact factor: 5.650

Review 9.  The proteomics big challenge for biomarkers and new drug-targets discovery.

Authors:  Rocco Savino; Sergio Paduano; Mariaimmacolata Preianò; Rosa Terracciano
Journal:  Int J Mol Sci       Date:  2012-10-29       Impact factor: 5.923

10.  Wound outcome in combat injuries is associated with a unique set of protein biomarkers.

Authors:  Brett A Chromy; Angela Eldridge; Jonathan A Forsberg; Trevor S Brown; Benjamin C Kirkup; Crystal Jaing; Nicholas A Be; Eric Elster; Paul A Luciw
Journal:  J Transl Med       Date:  2013-11-06       Impact factor: 5.531

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