Annotation of long non-coding RNAs expressed in Collaborative Cross founder mice in response to respiratory virus infection reveals a new class of interferon-stimulated transcripts
long non-coding rna
[SDV.IMM] Life Sciences [q-bio]/Immunology
Gene Expression Regulation/drug effects
Interferon-alpha/*administration & dosage/pharmacology
Inbred C57BL
Antiviral Agents
influenza virus
Cell Line
Mice
03 medical and health sciences
sars-cov
RNA Virus Infections
Influenza A virus/drug effects/physiology
Animals
Antiviral Agents/*administration & dosage/pharmacology
Lung/metabolism/*virology
Lung
Molecular Biology
collaborative cross
Severe acute respiratory syndrome-related coronavirus/drug effects/physiology
0303 health sciences
Sequence Analysis, RNA
Gene Expression Profiling
Interferon-alpha
Molecular Sequence Annotation
interferon
Cell Biology
3. Good health
Mice, Inbred C57BL
RNA Virus Infections/*drug therapy/*genetics/virology
Gene Expression Regulation
Severe acute respiratory syndrome-related coronavirus
rna-seq
Influenza A virus
Long Noncoding/*genetics
RNA
Female
RNA, Long Noncoding
Sequence Analysis
Research Paper
DOI:
10.4161/rna.29442
Publication Date:
2014-06-12T22:15:08Z
AUTHORS (15)
ABSTRACT
The outcome of respiratory virus infection is determined by a complex interplay viral and host factors. Some potentially important factors for the antiviral response, whose functions remain largely unexplored, are long non-coding RNAs (lncRNAs). Here we systematically inferred regulatory lncRNAs in response to influenza A severe acute syndrome coronavirus (SARS-CoV) based on their similarity expression with genes known function. We performed total RNA-Seq viral-infected lungs from eight mouse strains, yielding large data set transcriptional responses. Overall 5,329 were differentially expressed after infection. Most co-expressed coding modules enriched associated lung homeostasis pathways or immune processes. Each lncRNA was further individually annotated using rank-based method, enabling us associate 5,295 at least one gene predict potential cis effects. validated predicted be interferon-stimulated profiling responses interferon-α treatment. Altogether, these results provide broad categorization identify subsets likely key roles pathogenesis. These fully accessible through MOuse NOn-Code Lung interactive database (MONOCLdb).
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CITATIONS (94)
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