Literature DB >> 11828259

Differentially expressed genes identified in human melanoma cell lines with different metastatic behaviour using high density oligonucleotide arrays.

N J W de Wit1, H J Burtscher, U H Weidle, D J Ruiter, G N P van Muijen.   

Abstract

The increasing incidence of melanoma and the lack of effective treatment, with the exception of tumour excision before the onset of the metastatic phase, make it important to identify genes that may function as new molecular markers for diagnosis and/or prognosis or as new targets for therapy. Recently, a new technique using high density oligonucleotide arrays has been developed to simultaneously screen for the expression of thousands of genes. We used this technique to compare the mRNA expression patterns of two human melanoma cell lines with different metastatic behaviour. Eight differentially expressed genes, namely apolipoprotein CII, tyrosinase-related protein 1, transforming growth factor-beta superfamily, subtilisin-like protein, elongation factor 1 alpha2, alpha2-macroglobulin, human cell division cycle 10 and serine/threonine protein kinase (DYRK1A), were selected to validate the array results by Northern blotting and reverse transcription-polymerase chain reaction (RT-PCR). Furthermore, a reliable correlation between differential expression of these genes in the melanoma cell lines and in fresh lesions of melanocytic tumour progression was demonstrated by RT-PCR analysis. Altogether, our data indicate that high density oligonucleotide arrays are a valuable and reliable tool to screen for differentially expressed genes, and that our study may be considered a basic step in the characterization of genes that are involved in the (malignant) progression of melanoma.

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Year:  2002        PMID: 11828259     DOI: 10.1097/00008390-200202000-00009

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  15 in total

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Journal:  J Mol Med (Berl)       Date:  2003-08-01       Impact factor: 4.599

2.  Role of microarray in cancer diagnosis.

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3.  A facile consensus ranking approach enhances virtual screening robustness and identifies a cell-active DYRK1α inhibitor.

Authors:  Maria E Mavrogeni; Filippos Pronios; Danae Zareifi; Sofia Vasilakaki; Olivier Lozach; Leonidas Alexopoulos; Laurent Meijer; Vassilios Myrianthopoulos; Emmanuel Mikros
Journal:  Future Med Chem       Date:  2018-10-16       Impact factor: 3.808

4.  Integrating multidimensional omics data for cancer outcome.

Authors:  Ruoqing Zhu; Qing Zhao; Hongyu Zhao; Shuangge Ma
Journal:  Biostatistics       Date:  2016-03-14       Impact factor: 5.899

5.  Identification of a novel binding protein of FAT10: eukaryotic translation elongation factor 1A1.

Authors:  Xin Yu; Xiuxia Liu; Tiande Liu; Kui Hong; Jun Lei; Rongfa Yuan; Jianghua Shao
Journal:  Dig Dis Sci       Date:  2012-05-09       Impact factor: 3.199

6.  Eukaryotic translation elongation factor 1-alpha 1 inhibits p53 and p73 dependent apoptosis and chemotherapy sensitivity.

Authors:  Alvaro Blanch; Fiona Robinson; Ian R Watson; Lynn S Cheng; Meredith S Irwin
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

Review 7.  New molecular methods for classification, diagnosis and therapy prediction of hematological malignancies.

Authors:  Agnes Zvara; László Hackler; Zsolt B Nagy; Tamás Micsik; László G Puskás
Journal:  Pathol Oncol Res       Date:  2003-02-11       Impact factor: 2.874

8.  Gene network analyses point to the importance of human tissue kallikreins in melanoma progression.

Authors:  Waleska K Martins; Gustavo H Esteves; Otávio M Almeida; Gisele G Rezze; Gilles Landman; Sarah M Marques; Alex F Carvalho; Luiz F L Reis; João P Duprat; Beatriz S Stolf
Journal:  BMC Med Genomics       Date:  2011-10-27       Impact factor: 3.063

9.  Characterization of the human DYRK1A promoter and its regulation by the transcription factor E2F1.

Authors:  Barbara Maenz; Paul Hekerman; Eva M Vela; Juan Galceran; Walter Becker
Journal:  BMC Mol Biol       Date:  2008-03-26       Impact factor: 2.946

Review 10.  The role of protein elongation factor eEF1A2 in ovarian cancer.

Authors:  Jonathan M Lee
Journal:  Reprod Biol Endocrinol       Date:  2003-10-07       Impact factor: 5.211

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