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A Protocol for Analyzing Hepatitis C Virus Replication
Published on: June 26, 2014
ENCODE tiling array analysis identifies differentially expressed annotated and novel 5' capped RNAs in hepatitis C
Milan E Folkers1, Don A Delker, Christopher I Maxwell
1Department of Medicine, University of Utah, Salt Lake City, Utah, United States of America.
Plos One
|March 2, 2011
Summary
Analyzing 5' capped RNA with ENCODE tiling arrays reveals novel genes and unannotated transcripts in hepatitis C virus (HCV) infection, improving host response understanding.
Area of Science:
- Genomics
- Molecular Biology
- Virology
Background:
- Hepatitis C virus (HCV) infection studies using microarrays offer insights into host responses.
- Recent transcriptome data reveal pervasive transcription and short/absent poly(A) tails in RNA transcripts.
- Investigating novel transcripts is crucial for understanding HCV pathogenesis.
Purpose of the Study:
- To identify novel annotated and unannotated genes differentially expressed in the liver during HCV infection.
- To evaluate the utility of 5' cap-purified RNA and ENCODE tiling arrays for transcript discovery.
- To characterize the host response in HCV infection beyond polyadenylated transcripts.
Main Methods:
- Utilized ENCODE tiling arrays to analyze both 5'-capped and poly(A)+ RNA populations.
- Employed affinity purification of Pol II RNAs via their 5' m⁷GpppN cap.
- Performed bioinformatic analysis, PCR, RACE, and qPCR for transcript verification and quantification.
Main Results:
- Identified 64 upregulated and 31 downregulated annotated genes in HCV cirrhotic liver compared to controls.
- Discovered that 42% of upregulated and 50% of downregulated genes were exclusively identified by analyzing 5' capped RNA.
- Revealed upregulated Pol II transcriptionally active regions in unannotated genomic areas, verified by PCR and RACE.
- Confirmed upregulation of novel unannotated transcripts and specific genes (IRF1, TRIM22, MET) in HCV-infected liver biopsies.
Conclusions:
- Analyzing 5' capped RNA alongside ENCODE tiling arrays enhances gene expression information and identifies novel transcripts in HCV infection.
- This approach reveals previously undescribed Pol II transcripts in HCV-infected liver.
- The method is valuable for defining differentially regulated Pol II transcripts in disease states and studying RNA regulation.
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