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Integrated analysis of dysregulated lncRNA expression in breast cancer cell identified by RNA-seq study

机译:通过RNA-seq研究鉴定的乳腺癌细胞lncRNA表达失调的综合分析

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摘要

Among all the sequencing techniques, RNA sequencing (RNA-seq) has galloped with pace adopting the profiling of transcriptomic data in almost every biological analytics area like gene regulation study, development biology and clinical research. Recently the discovery of differentially expressed genes across different conditions has outshone the barrier of genetic & epigenetic regulations. The present work identified and analyzed differentially expressed novel long non-coding RNAs (lncRNAs) for breast cancer. A complex computational pipeline was adopted for the study which includes analysis of 18498 differentially expressed genes with 4114 up-regulated and 3475 down-regulated transcripts. The overexpression of lnc-MTAP (CDKN2B-AS1), lnc-PCP4 (DSCAM-S1), and lnc-FAM (H19) in breast cells suggests that these lncRNAs may have significant role to play in breast cancer. These results validated the relevance of the dysregulation pattern in cancer cells due to the presence of lncRNAs. The study further opens a new scope for experimental analysis to confirm the aberrant expression pattern of these lncRNAs which may act as potential bio-markers for the diagnosis and early detection of breast cancer.
机译:在所有测序技术中,RNA测序(RNA-seq)一直在飞速发展,几乎在每个生物分析领域(如基因调控研究,发育生物学和临床研究)中都采用转录组数据分析。最近,发现在不同条件下差异表达基因的发现已经超越了遗传和表观遗传调控的障碍。本工作确定和分析差异表达的新型长非编码RNA(lncRNA)的乳腺癌。该研究采用了复杂的计算流程,其中包括分析18498个差异表达基因,其中4114个上调和3475个下调的转录本。乳腺癌细胞中lnc-MTAP(CDKN2B-AS1),lnc-PCP4(DSCAM-S1)和lnc-FAM(H19)的过度表达表明这些lncRNA在乳腺癌中可能起重要作用。这些结果证实了由于lncRNA的存在,癌细胞中失调模式的相关性。这项研究进一步为实验分析开辟了新的领域,以确认这些lncRNA的异常表达模式,这可能成为诊断和早期发现乳腺癌的潜在生物标记。

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