Expression and network analysis of YBX1 interactors for identification of new drug targets in lung adenocarcinoma.

Journal of Genomics Pub Date : 2018-06-26 eCollection Date: 2018-01-01 DOI:10.7150/jgen.20581
Suriya Narayanan Murugesan, Birendra Singh Yadav, Pramod Kumar Maurya, Amit Chaudhary, Swati Singh, Ashutosh Mani
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引用次数: 9

Abstract

Y-Box Binding protein 1 (YBX-1) is known to be involved in various types of cancers. It's interactors also play major role in various cellular functions. Present work aimed to study the expression profile of the YBX-1 interactors during lung adenocarcinoma (LUAD). The differential expression analysis involved 57 genes from 95 lung adenocarcinoma samples, construction of gene network and topology analysis. A Total of 43 genes were found to be differentially expressed from which 17 genes were found to be down regulated and 26 genes were up-regulated. We observed that Polyadenylate-binding protein 1 (PABPC1), a protein involved in YBX1 translation, is highly correlated with YBX1. The interaction network analysis for a differentially expressed non-coding RNA Growth Arrest Specific 5 (GAS5) suggests that two proteins namely, Growth Arrest Specific 2 (GAS2) and Peripheral myelin protein 22 (PMP22) are potentially involved in LUAD progression. The network analysis and differential expression suggests that Collagen type 1 alpha 2 (COL1A2) can be potential biomarker and target for LUAD.

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Abstract Image

Abstract Image

YBX1相互作用因子的表达及网络分析用于肺腺癌新药靶点的鉴定。
已知Y-Box结合蛋白1 (YBX-1)与多种类型的癌症有关。它的相互作用物在各种细胞功能中也起着重要作用。本研究旨在研究YBX-1相互作用因子在肺腺癌(LUAD)中的表达谱。对95份肺腺癌样本中的57个基因进行差异表达分析,构建基因网络并进行拓扑分析。共发现43个差异表达基因,其中17个基因下调,26个基因上调。我们发现,参与YBX1翻译的多聚腺苷酸结合蛋白1 (PABPC1)与YBX1高度相关。对差异表达的非编码RNA生长阻滞特异性5 (GAS5)的相互作用网络分析表明,两种蛋白即生长阻滞特异性2 (GAS2)和外周髓鞘蛋白22 (PMP22)可能参与LUAD的进展。网络分析和差异表达提示COL1A2可能是LUAD潜在的生物标志物和靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
11
审稿时长
12 weeks
期刊介绍: Journal of Genomics publishes papers of high quality in all areas of gene, genetics, genomics, proteomics, metabolomics, DNA/RNA, computational biology, bioinformatics, and other relevant areas of research and application. Articles published by the journal are rigorously peer-reviewed. Types of articles include: Research paper, Short research communication, Review or mini-reviews, Commentary, Database, Software.
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