Tripathi Rashmi, Soni Apoorva, Varadwaj Pritish Kumar
Department of Bioinformatics, Indian Institute of Information Technology, Allahabad, U.P, India.
Department of Molecular and Cellular Engineering, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad, U.P, India.
Noncoding RNA Res. 2016 Sep 21;1(1):35-42. doi: 10.1016/j.ncrna.2016.09.002. eCollection 2016 Oct.
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 (), lnc-PCP4 (), and lnc-FAM ( 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.
在所有测序技术中，RNA测序（RNA-seq）已迅速发展，几乎在基因调控研究、发育生物学和临床研究等每个生物分析领域都采用了转录组数据的分析。最近，在不同条件下发现差异表达基因突破了遗传和表观遗传调控的障碍。本研究鉴定并分析了乳腺癌中差异表达的新型长链非编码RNA（lncRNA）。该研究采用了一个复杂的计算流程，其中包括对18498个差异表达基因进行分析，其中4114个转录本上调，3475个转录本下调。lnc-MTAP（）、lnc-PCP4（）和lnc-FAM（）在乳腺细胞中的过表达表明这些lncRNA可能在乳腺癌中发挥重要作用。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。该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，这些lncRNA可能作为乳腺癌诊断和早期检测的潜在生物标志物。
