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Record W4390656833 · doi:10.1101/2023.12.31.573785

An ATP-Binding Cassette Transporter Gene Links Innate and Adaptive Immune Responses

2024· preprint· en· W4390656833 on OpenAlexafffund
Sara Morgan Wilcox, Hitesh Arora, Kyung Bok Choi, Suresh Kari, Lonna Munro, Cheryl G. Pfeifer, Wilfred A. Jefferies

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsCanada's Michael Smith Genome Sciences CentreVancouver General HospitalUniversity of British Columbia
FundersCanadian Institutes of Health ResearchCentre for Blood Research, University of British ColumbiaUrology Foundation
KeywordsBiologyInnate immune systemVesicular stomatitis virusImmune systemInterferonRNA silencingTLR3VirologyCell biologyGeneImmunologyRNAVirusGeneticsRNA interferenceToll-like receptor

Abstract

fetched live from OpenAlex

Abstract Positive-strand RNA viruses and DNA viruses generate double-stranded RNA (dsRNA) during their replication processes and innate immune responses against viral infections are orchestrated by numerous interferon-stimulating genes, yet the detailed coordination of downstream signaling of anti-viral immune responses is not fully understood. Recent studies suggest 2’-5’- Oligoadenylate Synthetase 1 (OAS1) may have a protective role in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections; however, the mechanism regulating OAS1 remains uninvestigated. Our aim is to understand the regulation of OAS1 and its modulation of RNaseL activity, as this has significant implications for responses to RNA viruses, including Vesicular stomatitis virus (VSV) and SARS-CoV-2. We explore the hypothesis that ABCF1 an ATP-binding cassette family member protein, a key regulator of innate immune responses and macrophage polarization and cytokine storm, play a role in regulating the antiviral responses and downstream dsRNA signaling revealed by measuring responses to the synthetic dsRNA analog termed poly (I:C). We utilize ABCF1 haplo-insufficient mice to discover that ABCF1 modulates the amplitude and frequency of VSV-specific Cytolytic T lymphocyte in anti-viral immune responses and suggests that innate immune responses underpin this process. To understand this mechanism, we describe that ABCF1 interacts with 2’-5’-oligoadenylate synthetase 1 (OAS1) which in turn modulates essential proteins that leads to the modulation of RNaseL activity via ABCE1. Furthermore, we find that ABCF1 also influences the production of interferon-α (IFN-α) and interferon-β (IFN-β) in bone marrow-derived macrophages. Overall,, we unexpectedly discovered that ABCF1 acts as a crucial link between innate and adaptive immunity, regulating the development of adaptive Cytolytic T lymphocyte responses and interacting with OAS1, a key regulator of innate immune responses against viral infections. Exploring pharmacological agents that target ABCE1 or ABCF1 may lead to the discovery of novel modalities for countering SARS CoV-2 and other viruses where OAS1 is a crucial innate immune response gene.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.000

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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes2
Has abstractyes

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