Literature DB >> 14570046

Proteomic analysis of cancer-cell mitochondria.

Mukesh Verma1, Jacob Kagan, David Sidransky, Sudhir Srivastava.   

Abstract

Mitochondrial dysfunction and mutations in mitochondrial DNA have been frequently reported in cancer cells. Mitochondrial gene-expression signatures of transformed cells have been identified; however, the phenotypic effects of these genetic alterations remain to be established. Identification of mitochondrial proteins that are aberrantly expressed in cancer cells has been made possible by the recent development of mitochondrial functional proteomics and could identify new markers for early detection and risk assessment, as well as targets for therapeutic intervention.

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Year:  2003        PMID: 14570046     DOI: 10.1038/nrc1192

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  21 in total

Review 1.  Proteomic analysis in cancer research: potential application in clinical use.

Authors:  Jesús García-Foncillas; Eva Bandrés; Ruth Zárate; Natalia Remírez
Journal:  Clin Transl Oncol       Date:  2006-04       Impact factor: 3.405

Review 2.  Genetic and epigenetic biomarkers in cancer : improving diagnosis, risk assessment, and disease stratification.

Authors:  Mukesh Verma; Daniela Seminara; Fernando J Arena; Christy John; Kumiko Iwamoto; Virginia Hartmuller
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

3.  Mitochondrial DNA mutations in human tumor cells.

Authors:  Hui Li; Ze-Hui Hong
Journal:  Oncol Lett       Date:  2012-08-23       Impact factor: 2.967

4.  Detection of mitochondrial deoxyribonucleic acid alterations in urine from urothelial cell carcinoma patients.

Authors:  Santanu Dasgupta; Chunbo Shao; Thomas E Keane; David P Duberow; Richard A Mathies; Paul B Fisher; Lambertus A Kiemeney; David Sidransky
Journal:  Int J Cancer       Date:  2011-08-30       Impact factor: 7.396

Review 5.  Targeting proteomics to investigate metastasis-associated mitochondrial proteins.

Authors:  Hsiu-Chuan Chou; Hong-Lin Chan
Journal:  J Bioenerg Biomembr       Date:  2012-12       Impact factor: 2.945

6.  Mitochondrial dysfunction in cancer cells due to aberrant mitochondrial replication.

Authors:  Yuriy Shapovalov; David Hoffman; Daniel Zuch; Karen L de Mesy Bentley; Roman A Eliseev
Journal:  J Biol Chem       Date:  2011-05-02       Impact factor: 5.157

Review 7.  Opportunities and challenges for selected emerging technologies in cancer epidemiology: mitochondrial, epigenomic, metabolomic, and telomerase profiling.

Authors:  Mukesh Verma; Muin J Khoury; John P A Ioannidis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-12-14       Impact factor: 4.254

Review 8.  Prostate cancer regulatory networks.

Authors:  Dario C Altieri; Lucia R Languino; Jane B Lian; Janet L Stein; Irwin Leav; Andre J van Wijnen; Zhong Jiang; Gary S Stein
Journal:  J Cell Biochem       Date:  2009-08-01       Impact factor: 4.429

9.  Application of capillary isotachophoresis-based multidimensional separations coupled with electrospray ionization-tandem mass spectrometry for characterization of mouse brain mitochondrial proteome.

Authors:  Xueping Fang; Weijie Wang; Li Yang; Krish Chandrasekaran; Tibor Kristian; Brian M Balgley; Cheng S Lee
Journal:  Electrophoresis       Date:  2008-05       Impact factor: 3.535

10.  Quantitative proteomics analysis of mitochondrial proteins in lung adenocarcinomas and normal lung tissue using iTRAQ and tandem mass spectrometry.

Authors:  Wei Li; Xuede Zhang; Wei Wang; Ruiying Sun; Boxuan Liu; Yuefeng Ma; Wei Zhang; Li Ma; Yaofeng Jin; Shuanying Yang
Journal:  Am J Transl Res       Date:  2017-09-15       Impact factor: 4.060

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