ArticleJournal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban2008
The expression and bioinformatic analysis of a novel gene C20orf14 associated with lymphoma.
Article in Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 3 citations in OpenAlex.
- Reconstruction of an integrated genome-scale co-expression network reveals key modules involved in lung adenocarcinoma.PloS one · 2013Article
- Side population cells have the characteristics of cancer stem-like cells/cancer-initiating cells in bone sarcomas.British journal of cancer · 2009Article
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9 authors at 2 institutions in 1 country.
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Abstract
The aim of the present study was to explore the differentially expressed genes in the blood vessel endothelial cells (BVECs) between diffuse large B-cell lymphoma (DLBCL) and reactive lymph node hyperplasia (RLNH), and to perform an initial bioinformatics analysis on a novel gene, C20orf14, which is highly expressed in lymph node of lymphoma. The mRNA of the tissue from the BVECs of DLBCL and RLNH tissues was labeled with biotin respectively and hybridized with expression profile microarray, and the differentially expressed genes were obtained. Initial bioinformatics analysis was performed on a novel gene named C20orf14. Its gene structure, genomic localization, the physical and chemical characteristics of the putative protein, subcellular localization, functional domain etc. were predicted, and the systematic evolution analysis was performed on the similar proteins among several species. By using expression profile microarray, many differentially expressed genes were uncovered. The efficient bioinformatics analysis have fundamentally identified that C20orf14 was a nuclear protein, and may be involved in the post-transcription modification of mRNA. Therefore, microarray is an efficient and high throughout strategy for the detection of differentially expressed genes, and C20orf14 is thought to be a potential target for tumor metastasis researches by bioinformatics analysis.
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