Literature DB >> 21136598

A systems biology analysis of metastatic melanoma using in-depth three-dimensional protein profiling.

Mee-Jung Han1, Huan Wang, Lynn A Beer, Hsin-Yao Tang, Meenhard Herlyn, David W Speicher.   

Abstract

Melanoma is an excellent model to study molecular mechanisms of tumor progression because melanoma usually develops through a series of architecturally and phenotypically distinct stages that are progressively more aggressive, culminating in highly metastatic cells. In this study, we used an in-depth, 3-D protein level, comparative proteome analysis of two genetically, very closely related melanoma cell lines with low- and high-metastatic potentials to identify proteins and key pathways involved in tumor progression. This proteome comparison utilized fluorescent tagging of cell lysates followed by microscale solution IEF prefractionation and subsequent analysis of each fraction on narrow-range 2-D gels. LC-MS/MS analysis of gel spots exhibiting significant abundance changes identified 110 unique proteins. The majority of observed abundance changes closely correlate with biological processes central to cancer progression, such as cell death and growth and tumorigenesis. In addition, the vast majority of protein changes mapped to six cellular networks, which included known oncogenes (JNK, c-myc, and N-myc) and tumor suppressor genes (p53 and transforming growth factor-β) as critical components. These six networks showed substantial connectivity, and most of the major biological functions associated with these pathways are involved in tumor progression. These results provide novel insights into cellular pathways implicated in melanoma metastasis.
Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2010        PMID: 21136598      PMCID: PMC3070844          DOI: 10.1002/pmic.200900549

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  43 in total

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Journal:  Cancer Metastasis Rev       Date:  2006-09       Impact factor: 9.264

2.  Vaccination with B16 melanoma cells expressing a secreted form of interleukin-1beta induces tumor growth inhibition and an enhanced immunity against the wild-type B16 tumor.

Authors:  O Björkdahl; M Dohlsten; H O Sjögren
Journal:  Cancer Gene Ther       Date:  2000-10       Impact factor: 5.987

3.  Cancer statistics, 2005.

Authors:  Ahmedin Jemal; Taylor Murray; Elizabeth Ward; Alicia Samuels; Ram C Tiwari; Asma Ghafoor; Eric J Feuer; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2005 Jan-Feb       Impact factor: 508.702

4.  Activity, expression, and transcription rate of the cathepsins B, D, H, and L in cutaneous malignant melanoma.

Authors:  E Fröhlich; B Schlagenhauff; M Möhrle; E Weber; C Klessen; G Rassner
Journal:  Cancer       Date:  2001-03-01       Impact factor: 6.860

5.  Molecular classification of cutaneous malignant melanoma by gene expression profiling.

Authors:  M Bittner; P Meltzer; Y Chen; Y Jiang; E Seftor; M Hendrix; M Radmacher; R Simon; Z Yakhini; A Ben-Dor; N Sampas; E Dougherty; E Wang; F Marincola; C Gooden; J Lueders; A Glatfelter; P Pollock; J Carpten; E Gillanders; D Leja; K Dietrich; C Beaudry; M Berens; D Alberts; V Sondak
Journal:  Nature       Date:  2000-08-03       Impact factor: 49.962

6.  Genomic analysis of metastasis reveals an essential role for RhoC.

Authors:  E A Clark; T R Golub; E S Lander; R O Hynes
Journal:  Nature       Date:  2000-08-03       Impact factor: 49.962

Review 7.  The plasminogen activation system in tumor growth, invasion, and metastasis.

Authors:  P A Andreasen; R Egelund; H H Petersen
Journal:  Cell Mol Life Sci       Date:  2000-01-20       Impact factor: 9.261

8.  Transforming growth factor-beta1 inhibits tumor growth in a mouse melanoma model by down-regulating the plasminogen activation system.

Authors:  Laurent Ramont; Sylvie Pasco; William Hornebeck; François-Xavier Maquart; Jean Claude Monboisse
Journal:  Exp Cell Res       Date:  2003-11-15       Impact factor: 3.905

9.  Growth and invasion of human melanomas in human skin grafted to immunodeficient mice.

Authors:  I Juhasz; S M Albelda; D E Elder; G F Murphy; K Adachi; D Herlyn; I T Valyi-Nagy; M Herlyn
Journal:  Am J Pathol       Date:  1993-08       Impact factor: 4.307

10.  Induction of plasminogen activator inhibitor-2 is associated with suppression of invasive activity in TPA-mediated differentiation of human prostate cancer cells.

Authors:  Takahisa Shimizu; Kimiyoshi Sato; Toshihiro Suzuki; Ken Tachibana; Ken Takeda
Journal:  Biochem Biophys Res Commun       Date:  2003-09-19       Impact factor: 3.575

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  7 in total

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

Authors:  Lu-Bin Yan; Kai Shi; Zhi-Tong Bing; Yi-Lan Sun; Yang Shen
Journal:  Int J Ophthalmol       Date:  2013-06-18       Impact factor: 1.779

2.  Rapid verification of candidate serological biomarkers using gel-based, label-free multiple reaction monitoring.

Authors:  Hsin-Yao Tang; Lynn A Beer; Kurt T Barnhart; David W Speicher
Journal:  J Proteome Res       Date:  2011-07-26       Impact factor: 4.466

3.  Protein signatures for survival and recurrence in metastatic melanoma.

Authors:  William M Hardesty; Mark C Kelley; Deming Mi; Robert L Low; Richard M Caprioli
Journal:  J Proteomics       Date:  2011-04-23       Impact factor: 4.044

4.  Quantitative proteomic analysis in metastatic renal cell carcinoma reveals a unique set of proteins with potential prognostic significance.

Authors:  Olena Masui; Nicole M A White; Leroi V DeSouza; Olga Krakovska; Ajay Matta; Shereen Metias; Bishoy Khalil; Alexander D Romaschin; R John Honey; Robert Stewart; Kenneth Pace; Georg A Bjarnason; K W Michael Siu; George M Yousef
Journal:  Mol Cell Proteomics       Date:  2012-10-17       Impact factor: 5.911

5.  Human giant congenital melanocytic nevus exhibits potential proteomic alterations leading to melanotumorigenesis.

Authors:  Hyoung Kyu Kim; Yong Kyu Kim; In-Sung Song; Sung-Ryul Lee; Seung Hun Jeong; Min Hee Kim; Dae Yun Seo; Nari Kim; Byoung Doo Rhee; Kyoung Soo Ko; Kwan Chul Tark; Chul Gyoo Park; Je-Yoel Cho; Jin Han
Journal:  Proteome Sci       Date:  2012-08-20       Impact factor: 2.480

6.  Quantitative proteomic analysis for radiation-induced cell cycle suspension in 92-1 melanoma cell line.

Authors:  Fengling Wang; Zhitong Bing; Yanan Zhang; Bin Ao; Sheng Zhang; Caiyong Ye; Jinpeng He; Nan Ding; Wenling Ye; Jie Xiong; Jintu Sun; Yoshiya Furusawa; Guangming Zhou; Lei Yang
Journal:  J Radiat Res       Date:  2013-02-26       Impact factor: 2.724

7.  Transcriptome analysis of dog oral melanoma and its oncogenic analogy with human melanoma.

Authors:  Md Mahfuzur Rahman; Yu-Chang Lai; Al Asmaul Husna; Hui-Wen Chen; Yuiko Tanaka; Hiroaki Kawaguchi; Hitoshi Hatai; Noriaki Miyoshi; Takayuki Nakagawa; Ryuji Fukushima; Naoki Miura
Journal:  Oncol Rep       Date:  2019-10-25       Impact factor: 3.906

  7 in total

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