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Record W2951845892 · doi:10.1016/j.celrep.2019.05.036

Influenza Virus Exploits an Interferon-Independent lncRNA to Preserve Viral RNA Synthesis through Stabilizing Viral RNA Polymerase PB1

2019· article· en· W2951845892 on OpenAlexaff
Jing Wang, Yongxin Zhang, Quanjie Li, Jianyuan Zhao, Dongrong Yi, Jiwei Ding, Fei Zhao, Siqi Hu, Jinming Zhou, Tao Deng, Xiaoyu Li, Fei Guo, Liang Chen, Shan Cen

Bibliographic record

VenueCell Reports · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsMcGill UniversityJewish General Hospital
FundersNational Key Research and Development Program of ChinaNational Infrastructure for Microbiological ResourcesChinese Academy of Meteorological SciencesNational Natural Science Foundation of China
KeywordsViral replicationBiologyInfluenza A virusVirologyInterferonPolymeraseRNAVirusRNA polymeraseGeneGenetics

Abstract

fetched live from OpenAlex

Long noncoding RNAs (lncRNAs) participate in host antiviral defense by modulating immune responses. However, it remains largely unexplored how viruses exploit interferon (IFN)-independent host lncRNAs to facilitate viral replication. Here, we have identified a group of human lncRNAs that modulate influenza A virus (IAV) replication in a loss-of-function screen and found that an IFN-independent lncRNA, called IPAN, is hijacked by IAV to assist IAV replication. IPAN is specifically induced by IAV infection independently of IFN and associates with and stabilizes viral RNA-dependent RNA polymerase PB1, enabling efficient viral RNA synthesis. Silencing IPAN results in PB1 degradation and severely impairs viral infection. Therefore, our data unveil an important role of host lncRNAs in promoting viral replication by modulating viral protein stability. Our findings may open avenues to the development of antiviral therapeutics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.286
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations87
Published2019
Admission routes1
Has abstractyes

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