Sip-L, a member of the Cupin superfamily, is a hepatic factor capable of supporting hepatitis C virus (HCV) replication in an otherwise non-permissive cell line. HCV-positive serum was used to infect Huh-7 and 293 cells stably expressing Sip-L. Using the culture medium of the infected cells as an infection source, sequential viral passages were carried out in both cell lines. Efficient viral passage was observed in 293-Sip-L cells but not in Huh-7-Sip-L cells. The viral concentrations in the culture medium increased gradually from less than 10(2) copies/mL to 5.3 x 10(4) copies/mL after 25 sequential passages in 293-Sip-L cells. Sequence analysis of the viral genomes obtained from both the initial and final inocula revealed emergence of mutation clusters in NS2, NS3, and NS5A coding regions. Immunofluorescence study revealed that only a small percentage of infected cells expressed a detectable level of viral protein. Caspase 3 activities in the infected cells increased progressively during the viral passages. In conclusion, perpetual propagation of HCV was achieved using Sip-L expressing cells, allowing for the development of mutation clusters in the genome. The mutant HCV can be used as an infection source to study the molecular mechanism of HCV replication.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jviromet.2005.05.026DOI Listing

Publication Analysis

Top Keywords

mutation clusters
12
viral passages
12
infected cells
12
cells
9
emergence mutation
8
sequential viral
8
sip-l expressing
8
expressing cells
8
hcv replication
8
culture medium
8

Similar Publications

To evaluate the predictive utility of N6-methyladenosine (m6A)-associated long non-coding RNAs (lncRNAs) for the prognosis and immunotherapy response in papillary renal cell carcinoma (pRCC). Transcriptomic data of pRCC samples were extracted from the TCGA database. The m6A-related lncRNAs were identified by Pearson correlation analysis.

View Article and Find Full Text PDF

In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness of ICIs for patients at the same TNM stage remains a challenge. In this study, we first combined multi-omics data (mRNA, lncRNA, miRNA, DNA methylation, and somatic mutations) and 10 clustering algorithms, successfully identifying two distinct cancer subtypes (CSs) (CS1 and CS2).

View Article and Find Full Text PDF

Multiomics integration and machine learning reveal prognostic programmed cell death signatures in gastric cancer.

Sci Rep

December 2024

Clinical Teaching Hospital of Medical School, Nanjing Children's Hospital, Nanjing University, Nanjing, 210008, China.

Gastric cancer (GC) is characterized by notable heterogeneity and the impact of molecular subtypes on treatment and prognosis. The role of programmed cell death (PCD) in cellular processes is critical, yet its specific function in GC is underexplored. This study applied multiomics approaches, integrating transcriptomic, epigenetic, and somatic mutation data, with consensus clustering algorithms to classify GC molecular subtypes and assess their biological and immunological features.

View Article and Find Full Text PDF

Hoxa5 plays numerous roles in development, but its downstream molecular effects are mostly unknown. We applied bulk RNA-seq assays to characterize the transcriptional impact of the loss of Hoxa5 gene function in seven different biological contexts, including developing respiratory and musculoskeletal tissues that present phenotypes in Hoxa5 mouse mutants. This global analysis revealed few common transcriptional changes, suggesting that HOXA5 acts mainly via the regulation of context-specific effectors.

View Article and Find Full Text PDF

Metastasis in patients with oral squamous cell carcinoma has been associated with a poor prognosis. However, sensitive and reliable tests for monitoring their occurrence are unavailable, with the exception of PET-CT. Circulating tumor cells and cell-free DNA have emerged as promising biomarkers for determining treatment efficacy and as prognostic predictors in solid tumors such as breast cancer and colorectal cancer.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!