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Cyclophilin A restricts rotavirus infection by enhancing type 1 interferon response in infected epithelial cells (68.1)

2012· article· en· W1509395137 on OpenAlexaff
Jintao Li, Haiyang He, Yuzhang Wu

Bibliographic record

VenueThe Journal of Immunology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCypaCyclophilin ADownregulation and upregulationRotavirusBiologyInterferonVirologyDiarrheaViral replicationImmunologyVirusMolecular biologyMedicineGeneInternal medicine

Abstract

fetched live from OpenAlex

Abstract Rotavirus (RV) infection is the main cause of acute dehydrating diarrhea in infants and young children below 5 years old worldwide. RV infection causes a global shutoff of host protein synthesis, however, previous studies have revealed that RV infection can also lead to the upregulation of host proteins, which could play crucial roles in RV infection. Using proteomic methods, we found that Cyclophilin A (CYPA), a peptidyl-prolyl cis-trans isomerase (PPIase), was upregulated in MA104 cells infected by human rotavirus (HRV). Following infection, CYPA was recruited to the viroplasm where it interacted with HRV structural protein VP2, to inhibit viral protein expressions, thus producing a repressive effect on HRV replication, which was dependent on its PPIase activity. We further show that CYPA was required for host type-1 interferon (IFN-I) response to HRV infection, and this effect was independent on its PPIase activity but dependent on JNK signaling pathway. Furthermore, we found that the expression of CYPA in enterocytes correlates to the period when BALB/c mice become resistannt to RV infection-induced diarrhea. Together, our data identify CYPA as a new host restrictive factor that confers protection against rotavirus infection.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.016
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes1
Has abstractyes

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