Identification of Biomarkers Based on Bioinformatics Analysis: The Expression of Ubiquitin-Conjugating Enzyme E2T (UBE2T) in the Carcinogenesis and Progression of Hepatocellular Carcinoma

Xuemiao Zhao; Wei Weng; Miao Jin; Sunjian Li; Qingwei Chen; Bingrong Li; Zhou Zhou; Chuanqiang Lan; Yunjun Yang

doi:10.12659/MSM.929023

04 March 2021 : Database Analysis

Identification of Biomarkers Based on Bioinformatics Analysis: The Expression of Ubiquitin-Conjugating Enzyme E2T (UBE2T) in the Carcinogenesis and Progression of Hepatocellular Carcinoma

Xuemiao Zhao^1ABEF, Wei Weng^2ACDE, Miao Jin^3CD, Sunjian Li^4AB, Qingwei Chen^5EF, Bingrong Li^2BC, Zhou Zhou^6BC, Chuanqiang Lan^2BE, Yunjun Yang^1AEF*

DOI: 10.12659/MSM.929023

Med Sci Monit 2021; 27:e929023

Authors information Article notes Copyright and License information

Background Material and Methods Results Discussion Conclusions References

Related articles Order reprints Share article Share by email

View HTML version

Figure 3 BP analysis and hierarchical cluster analysis of key gene. (A) In the BP graph drawn by the BINGO plug-in in Cytoscape, the size of the node was decided by the number of corresponding genes. (B) Hierarchical cluster analysis graph shows the expression of 12 hub genes in primary hepatocellular carcinoma (HCC) tissue and normal tissue. Upregulated genes are marked in red, downregulated genes are marked in blue.

Back to the Article

Identification of Biomarkers Based on Bioinformatics Analysis: The Expression of Ubiquitin-Conjugating Enzyme E2T (UBE2T) in the Carcinogenesis and Progression of Hepatocellular Carcinoma

Your Privacy