Literature DB >> 18617143

Assessing CMT cell line stability by two dimensional polyacrylamide gel electrophoresis and mass spectrometry based proteome analysis.

Kelan Zhang1, Krzysztof Wrzesinski, Stephen J Fey, Peter Mose Larsen, Xumin Zhang, Peter Roepstorff.   

Abstract

Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) followed by mass spectrometric identification of the proteins in the protein spots has become a central tool in proteomics. CMT167(H), CMT64(M) and CMT170(L) cell lines, selected from a spontaneous mouse lung adenocarcinoma, with high-, middle- or low-metastatic potential have been characterized in vivo. In this study, the comprehensive protein expression profiles of the CMT cell lines were analyzed at passages 5, 15 and 35 in order to assess the cell line stability. During the passages 5 to 15, the expression profiles of CMT cells remained reasonably stable as evidenced by only 0.7%, 3.9% and 1.1% proteins changed in CMT167(H), CMT64(M) and CMT170(L) respectively. However, the number of differentially expressed proteins were considerably increased at passage 35 in CMT64(M) and CMT170(L) while CMT167(H) remained stable. Based on our selection criteria, 22, 109 and 84 spots in CMT167(H), CMT64(M) and CMT170(L) were selected for protein identification by MS and 99 unique proteins were identified. Bioinformatics analysis indicated that most of these proteins participate in cellular metabolism. In conclusion, proteomics was found to be a useful tool for assessing differences in cell line stability. This approach provided a tool to select the best cell line and optimal subculture period for studies of cancer related phenomena and for testing the effect of potential anticancer drugs.

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Year:  2008        PMID: 18617143     DOI: 10.1016/j.jprot.2008.04.001

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  2 in total

1.  Genomic instability of osteosarcoma cell lines in culture: impact on the prediction of metastasis relevant genes.

Authors:  Roman Muff; Prisni Rath; Ram Mohan Ram Kumar; Knut Husmann; Walter Born; Michael Baudis; Bruno Fuchs
Journal:  PLoS One       Date:  2015-05-19       Impact factor: 3.240

2.  Preclinical Pharmacokinetics and Dosimetry of an 89Zr Labelled Anti-PDL1 in an Orthotopic Lung Cancer Murine Model.

Authors:  Anis Krache; Charlotte Fontan; Carine Pestourie; Manuel Bardiès; Yann Bouvet; Pierre Payoux; Etienne Chatelut; Melanie White-Koning; Anne-Sophie Salabert
Journal:  Front Med (Lausanne)       Date:  2022-01-31
  2 in total

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