Literature DB >> 23826520

Proteomic analysis of energy metabolism and signal transduction in irradiated melanoma cells.

Lu-Bin Yan1, Kai Shi, Zhi-Tong Bing, Yi-Lan Sun, Yang Shen.   

Abstract

AIM: To analyze proteomic and signal transduction alterations in irradiated melanoma cells.
METHODS: We combined stable isotope labeling with amino acids in cell culture (SILAC) with highly sensitive shotgun tandem mass spectrometry (MS) to create an efficient approach for protein quantification. Protein-protein interaction was used to analyze relationships among proteins.
RESULTS: Energy metabolism protein levels were significantly different in glycolysis and not significantly different in oxidative phosphorylation after irradiation. Conversely, tumor suppressor proteins related to cell growth and development were downregulated, and those related to cell death and cell cycle were upregulated in irradiated cells.
CONCLUSION: Our results indicate that irradiation induces differential expression of the 29 identified proteins closely related to cell survival, cell cycle arrest, and growth inhibition. The data may provide new insights into the pathogenesis of uveal melanoma and guide appropriate radiotherapy.

Entities:  

Keywords:  2D-LC-MS/MS; X-ray irradiation; melanoma cell; protein-protein interaction; proteomic analysis; stable isotope labeling with amino acids

Year:  2013        PMID: 23826520      PMCID: PMC3693007          DOI: 10.3980/j.issn.2222-3959.2013.03.06

Source DB:  PubMed          Journal:  Int J Ophthalmol        ISSN: 2222-3959            Impact factor:   1.779


  46 in total

1.  On the origin of cancer cells.

Authors:  O WARBURG
Journal:  Science       Date:  1956-02-24       Impact factor: 47.728

2.  In CK2 inactivated cells the cyclin dependent kinase inhibitor Sic1 is involved in cell-cycle arrest before the onset of S phase.

Authors:  Farida Tripodi; Vittoria Zinzalla; Marco Vanoni; Lilia Alberghina; Paola Coccetti
Journal:  Biochem Biophys Res Commun       Date:  2007-06-04       Impact factor: 3.575

3.  Glyoxalase I is involved in resistance of human leukemia cells to antitumor agent-induced apoptosis.

Authors:  H Sakamoto; T Mashima; A Kizaki; S Dan; Y Hashimoto; M Naito; T Tsuruo
Journal:  Blood       Date:  2000-05-15       Impact factor: 22.113

4.  GLO1-A novel amplified gene in human cancer.

Authors:  Thomas Santarius; Graham R Bignell; Chris D Greenman; Sara Widaa; Lina Chen; Claire L Mahoney; Adam Butler; Sarah Edkins; Sahar Waris; Paul J Thornalley; P Andrew Futreal; Michael R Stratton
Journal:  Genes Chromosomes Cancer       Date:  2010-08       Impact factor: 5.006

Review 5.  Protein kinases. 4. Protein kinase CK2: an enzyme with multiple substrates and a puzzling regulation.

Authors:  J E Allende; C C Allende
Journal:  FASEB J       Date:  1995-03       Impact factor: 5.191

6.  The transcriptional program of a human B cell line in response to Myc.

Authors:  M Schuhmacher; F Kohlhuber; M Hölzel; C Kaiser; H Burtscher; M Jarsch; G W Bornkamm; G Laux; A Polack; U H Weidle; D Eick
Journal:  Nucleic Acids Res       Date:  2001-01-15       Impact factor: 16.971

7.  Rb and prohibitin target distinct regions of E2F1 for repression and respond to different upstream signals.

Authors:  S Wang; N Nath; G Fusaro; S Chellappan
Journal:  Mol Cell Biol       Date:  1999-11       Impact factor: 4.272

Review 8.  Regulation of hexokinase binding to VDAC.

Authors:  John G Pastorino; Jan B Hoek
Journal:  J Bioenerg Biomembr       Date:  2008-06       Impact factor: 2.945

Review 9.  Mapping normal and cancer cell signalling networks: towards single-cell proteomics.

Authors:  Jonathan M Irish; Nikesh Kotecha; Garry P Nolan
Journal:  Nat Rev Cancer       Date:  2006-02       Impact factor: 60.716

10.  Preliminary quantitative profile of differential protein expression between rat L6 myoblasts and myotubes by stable isotope labeling with amino acids in cell culture.

Authors:  Ziyou Cui; Xiulan Chen; Bingwen Lu; Sung Kyu Park; Tao Xu; Zhensheng Xie; Peng Xue; Junjie Hou; Haiying Hang; John R Yates; Fuquan Yang
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

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  3 in total

1.  Identify the signature genes for diagnose of uveal melanoma by weight gene co-expression network analysis.

Authors:  Kai Shi; Zhi-Tong Bing; Gui-Qun Cao; Ling Guo; Ya-Na Cao; Hai-Ou Jiang; Mei-Xia Zhang
Journal:  Int J Ophthalmol       Date:  2015-04-18       Impact factor: 1.779

Review 2.  Blood Biomarkers of Uveal Melanoma: Current Perspectives.

Authors:  Manuel F Bande Rodríguez; Beatriz Fernandez Marta; Nerea Lago Baameiro; Maria Santiago-Varela; Paula Silva-Rodríguez; María Jose Blanco-Teijeiro; Maria Pardo Perez; Antonio Piñeiro Ces
Journal:  Clin Ophthalmol       Date:  2020-01-20

3.  iTRAQ Quantitative Proteomic Comparison of Metastatic and Non-Metastatic Uveal Melanoma Tumors.

Authors:  John W Crabb; Bo Hu; John S Crabb; Pierre Triozzi; Yogen Saunthararajah; Raymond Tubbs; Arun D Singh
Journal:  PLoS One       Date:  2015-08-25       Impact factor: 3.240

  3 in total

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