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Transcriptomics analysis of entecavir resistant hepatitis B virus stable replication cell line
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Xiao-Lu Zhang1, Lan Yang1, Yan-Song Sun1, Dong-Ping Xu2, Xiao-Feng Li1, Yan Liu2, *, Hao Li1, *
Medical Journal of Chinese People’s Liberation Army | 2021, 46(5) : 448 - 455
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Medical Journal of Chinese People’s Liberation Army | 2021, 46(5): 448-455
Basic Research
Transcriptomics analysis of entecavir resistant hepatitis B virus stable replication cell line
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Xiao-Lu Zhang1, Lan Yang1, Yan-Song Sun1, Dong-Ping Xu2, Xiao-Feng Li1, Yan Liu2, *, Hao Li1, *
Affiliations
  • 1State Key Laboratory of Pathogenic Microorganism Biosafety, Institute of Microbiology and Epidemiology, Academy of Military Medicine, Academy of Military Sciences, Beijing 100071, China
  • 2Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China
Published: 2021-05-28 doi: 10.11855/j.issn.0577-7402.2021.05.04
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Objective To profile transcriptome dynamics in the entecavir resistant hepatitis B virus (ETV-r HBV) stably transfected cell line, and provide fundamental data for future studies to understand mechanisms of infection using this cell line. Methods ETV-r HBV stably transfected cell lines (HepG2.A64) and the corresponding isogenic cell lines (HepG2) were used to profile the transcriptome (n=3). We used DESeq2 software to analyze the sequencing results to identify differentially expressed genes with |log2 Fold Change|>2, padj<0.05. GO and KEGG functional enrichment analysis of differential genes were performed by clusterProfiler software, and then the transcriptional and protein levels of related genes in the DNA repair pathway were detected by RT-qPCR and Western blotting. Results A total of 613 differentially expressed genes were identified in the cell lines before and after stable ETV-r HBV transfection, of which 401 were up-regulated and 212 down-regulated (padj<0.05). GO and KEGG enrichment analysis showed that differentially expressed genes were mainly involved in the inflammatory response, PI3K/Akt signal pathway, PPAR signal pathway, NF-κB signal pathway and immune-related biological processes. Through the analysis of the relevant genes in the DNA repair pathway and the verification by RT-qPCR and Western blotting, it was found that after stable transfection of ETV-r HBV, the mRNA expression of RAD52 and XRCC2 genes in the DNA repair pathway decreased by 68.96%±7.59% and 69.58%±6.32%, respectively, and the protein expression decreased by 69.93%±3.88% and 26.47%±12.7%, respectively, and the differences were statistically significant (P<0.05). Conclusion Compared with the original background cell line HepG2, a lot of genes are differentially expressed at the transcription level in HBV stable cell line, and the DNA repair-related genes in the HepG2.A64 cell line had been decreased significantly.

hepatitis B virus  /  DNA repair  /  computational biology  /  transcriptome sequencing  /  entecavir  /  HepG2.A64 cell line
Xiao-Lu Zhang, Lan Yang, Yan-Song Sun, Dong-Ping Xu, Xiao-Feng Li, Yan Liu, Hao Li. Transcriptomics analysis of entecavir resistant hepatitis B virus stable replication cell line[J]. Medical Journal of Chinese People’s Liberation Army, 2021 , 46 (5) : 448 -455 . DOI: 10.11855/j.issn.0577-7402.2021.05.04
  • National Natural Science Foundation of China(81573676)
  • Natural Science Foundation of Beijing(7194302)
Year 2021 volume 46 Issue 5
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Article Info
doi: 10.11855/j.issn.0577-7402.2021.05.04
  • Receive Date:2021-02-18
  • Online Date:2025-12-24
  • Published:2021-05-28
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History
  • Received:2021-02-18
  • Revised:2021-04-15
Funding
National Natural Science Foundation of China(81573676)
Natural Science Foundation of Beijing(7194302)
Affiliations
    1State Key Laboratory of Pathogenic Microorganism Biosafety, Institute of Microbiology and Epidemiology, Academy of Military Medicine, Academy of Military Sciences, Beijing 100071, China
    2Department of Infectious Diseases, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China

Corresponding:

*Li Hao, E-mail: ;
Liu Yan, E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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