HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

[Alteration of mi-RNA expression profile after interferon treatment in HCV-infected Huh7.5.1 cells].

AbstractOBJECTIVE:
To screen the mi-RNA expression profile after interferon treatment in cells infected with hepatitis C virus (HCV).
METHODS:
Huh-7.5.1 cells was infected with HCV by in vitro transcription and cultured with interferon. The mi-RNA microarray was used to measure the mi-RNA expression in the control group, HCV transcription group and interference group. Intra-group differences were analyzed by the 2 ((-delt delt CT)) method.
RESULTS:
With mi-RNA expressed in normal Huh-7.5.1 cells as a benchmark, expressions of 13 kinds of mi-RNAs were up-regulated after HCV infection and then down-regulated following interferon treatment; 7 were down-regulated after HCV infection and then up-regulated following interferon treatment.
CONCLUSION:
mi-RNA10a, mi-RNA21, mi-RNA149, mi-RNA152 and mi-RNA210 may be related to hepatitis C virus replication and transcription.
AuthorsYan Lu, Xiao-kang Xing, Guang-zhong Song, Zhi Chen
JournalZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences (Zhejiang Da Xue Xue Bao Yi Xue Ban) Vol. 40 Issue 6 Pg. 598-602 (11 2011) ISSN: 1008-9292 [Print] China
PMID22190519 (Publication Type: English Abstract, Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Interferon-alpha
  • MicroRNAs
  • RNA, Viral
  • Interferons
Topics
  • Cell Line, Tumor
  • Gene Expression Profiling
  • Hepacivirus (genetics)
  • Humans
  • Interferon-alpha (pharmacology)
  • Interferons (pharmacology)
  • MicroRNAs (drug effects, genetics)
  • RNA, Viral (genetics)
  • Transfection

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: