用RNA-Seq方法定量分析乳腺癌基因特征中ECI2的表达

2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE) Pub Date : 2018-10-01 DOI:10.1109/BIBE.2018.00055

Ming-Yi Yen, H. Chu, Yu-Ching Chen, J. Tsai

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引用次数: 0

摘要

ECI2基因编码哺乳动物过氧化物酶体的异构酶，其中一个ECI2亚型被发现是一种重要的癌症抗原，称为肝细胞癌相关抗原64 (HCA64)。最近，它也被发现是乳腺癌和前列腺癌等其他癌症预后的基因标志。高通量RNA测序已成为测量基因表达水平的最先进方法。本文利用乳腺癌RNA-Seq数据集中的Hisat2和RSEM程序对乳腺癌基因特征进行了表达分析。结果表明，HCA64转录本仅在部分乳腺癌样本中表达。

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Quantitative Analysis of ECI2 Expression from RNA-Seq for Breast Cancer Gene Signatures

The ECI2 gene encodes a isomerase of mammalian peroxisomes, and one of ECI2 isoforms was found as an important cancer antigen called as hepatocellular carcinoma-associated antigen 64 (HCA64). Recently, it was also found as a gene signature for the prognosis of other cancers such as breast cancer and prostate cancer. High-throughput RNA sequencing has become the state-of-the-art method for measuring the levels of gene expression. This paper studies the expression analysis of breast cancer gene signatures with both Hisat2 and RSEM programs from breast cancer RNA-Seq datasets. The results showed that the transcript of HCA64 was only expressed in only part of breast cancer samples.

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2018 IEEE 18th International Conference on Bioinformatics and Bioengineering (BIBE)

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