生物
转录组
小RNA
基因
蛋白质组
计算生物学
剪接体
遗传学
基因表达谱
核糖核酸
基因表达
癌症研究
生物信息学
RNA剪接
作者
Fang Xu,Liya Jiang,Qianwei Zhao,Zhibiao Zhang,Yixian Liu,Shuangshuang Yang,Mengdan Yu,Huiping Chen,Jianying Zhang,Jintao Zhang
出处
期刊:Oncogene
[Springer Nature]
日期:2021-06-21
卷期号:40 (29): 4820-4831
被引量:18
标识
DOI:10.1038/s41388-021-01908-0
摘要
Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer and one of the leading causes of cancer-related death worldwide. To gain more insights into the transcriptomic landscape and molecular mechanism of HCC, we performed TMT-labelled tandem mass spectrometry (n = 4) and whole-transcriptome sequencing (n = 3) based on HCC tumour (T) and adjacent normal (N) tissues from seven HCC patients. To comprehensively evaluate the gene-regulatory circuits in HCC, differential expression and enrichment analyses were performed on the differentially expressed proteins (DEPs), genes (DEGs), miRNAs (555), lncRNAs (29) and circRNAs (895). A total of 977 proteins and 243 genes were found to be differentially expressed in HCC tumours compared with adjacent normal tissues. HCC data from The Cancer Genome Atlas were used to validate the results. Combined with the results above, 56 DEP-DEGs with common changes in relative quantity were identified. Functional pathway analysis showed that the DEP-DEGs were mainly enriched in the spliceosome and various metabolic processes. Bioinformatics analysis showed that hsa-miR-1266-5p, hsa-miR-128-1-5p, hsa-miR-139-5p, hsa-miR-34b-3p and hsa-miR-570-3p were involved in the regulation of the hub genes mentioned above. The crucial coexpression (lncRNA-mRNA, circRNA-mRNA) and competing endogenous RNA interaction axes showed the possible functions of the lncRNAs and circRNAs. We explored potential cancer biomarkers by combining proteomic and transcriptomic studies. Our study provides a valuable resource for understanding regulatory mechanisms at the RNA level and may ultimately further assist in the development of diagnostic and/or therapeutic targets for HCC.
科研通智能强力驱动
Strongly Powered by AbleSci AI