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Knockdown of circular RNA FSCN1 impairs dendritic cell immune function through regulating the NFKB and Foxo3 signaling pathways

2019· article· en· W4313365607 on OpenAlexaff
Xiufen Zheng, Cuilin Zhu, Yale Su, Bowen Wang, Dana E. O'Brien

Bibliographic record

VenueThe Journal of Immunology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsWestern University
Fundersnot available
KeywordsGene knockdownCell biologyImmune systemDendritic cellBiologyFOXO3Gene silencingCircular RNASmall interfering RNARNASignal transductionCancer researchImmunologyGeneProtein kinase BGenetics

Abstract

fetched live from OpenAlex

Abstract Circular RNAs (circRNAs) that are a new class of endogenously expressed non-coding RNAs produced from back splicing with a covalently closed loop structure have been emerging as an important gene regulator in the physiological and pathological development of cells. It remains unknown about roles of circRNAs in DCs. The objective of the study is to investigate the impact of circular RNA FSCN1 (circFSCN1) on dendritic cell immune function. Bone marrow derived dendritic cells were cultured in vitro and circRNA expression was detected by circRNA microarrays and qRT-PCR. The effect of circFSCN1 on DCs was studied. We found that the expression profiles of circRNAs were significantly different in mature immunogenic DCs v.s immature immunosuppressive DCs. circFSCN1 was the most significantly highly expressed in mature DCs compared with immature DCs. Treatment with immunosuppressive cytokines TGF β and GDF15 reduced circFSCN1 expression in DCs. Knockdown of circFSCN1 using siRNA reduced the phosphorylation of Rel Ap65, but increased phosphorylated Foxo3. Silencing of circFSCN1 impaired DCs to activate T cells, changed inflammatory cytokine production and enhanced Treg generation whereas circFSCN1 siRNA did not affect DC maturation. In conclusion, it is a first report to demonstrate that circFSCN1 is essential for DC immune response.

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 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 score0.043
Threshold uncertainty score0.408

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 science0.0000.000
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 head0.008
GPT teacher head0.211
Teacher spread0.202 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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