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Updated: Jan 29, 2026

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
Published on: November 28, 2018
Comprehensive Transcriptomic Profiling Reveals Rotavirus-Induced Alterations in Both Coding and Long Non-Coding RNA
Xiaopeng Song1, Yanwei Wu1, Xiaocai Yin1
1Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Science & Peking Union Medical College, Kunming 650118, China.
This study maps the long noncoding RNA (lncRNA) landscape during rotavirus (RV) infection, revealing significant changes in gene expression that activate innate immunity and suppress metabolism. Novel lncRNAs are identified as key regulators of the host antiviral response.
Area of Science:
- Virology
- Molecular Biology
- Genomics
Background:
- Rotavirus (RV) causes severe gastroenteritis in children.
- The role of long noncoding RNAs (lncRNAs) in the host response to RV is poorly understood.
Purpose of the Study:
- To comprehensively map the lncRNA and mRNA expression profiles in RV-infected cells.
- To identify novel lncRNAs involved in the host's antiviral defense against RV.
Main Methods:
- Integrated transcriptomic analysis of mRNA and lncRNA in RV-infected MA104 cells.
- Deep sequencing and quantitative real-time PCR (qRT-PCR) for expression profiling.
- Functional enrichment analysis and target prediction for lncRNAs.
Main Results:
- Identification of 11,919 high-confidence lncRNAs, with 3651 mRNAs and 4655 lncRNAs differentially expressed.
- Upregulation of innate immunity pathways (RIG-I-like receptor, Toll-like receptor, TNF signaling) and suppression of metabolic pathways.
- Discovery of two novel lncRNAs (lncRNA-6479, lncRNA-4290) and immune-related mRNAs (OASL, C3) upregulated during RV infection.
Conclusions:
- lncRNAs play a crucial role in coordinating host antiviral defense against rotavirus, primarily through transregulation.
- This study provides a valuable genome-wide resource for investigating host-RV interactions and identifying therapeutic targets.
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