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Record W7139756705

The Role of ALPK1-TIFA Signalling in Intestinal Epithelial Cells

2025· dissertation· W7139756705 on OpenAlexaff
Shawn Goyal

Bibliographic record

VenueTSpace (University of Toronto) · 2025
Typedissertation
Language
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsInnate immune systemImmune systemSignallingInnate lymphoid cellIntestinal epitheliumImmunitySignal transductionInterleukin 22Classical complement pathway
DOInot available

Abstract

fetched live from OpenAlex

The intestinal epithelium serves as a vital barrier, selectively absorbing nutrients while restricting commensal and pathogenic microbes from invading deeper tissues and causing aberrant inflammation. This epithelial barrier must continuously withstand the harsh conditions of the intestine, and numerous mechanisms have evolved to ensure its integrity. Of these mechanisms, innate immune signalling is a significant pathway in maintaining homeostasis. Immune signalling is often thought of as the activation of immune cells during sickness; however, the functions of these pathways are far more widespread than this. In its most basic form, innate immunity is simply the ability of a cell to detect signals of damage or danger. These damage or danger signals may be derived from the host, as in the case of dying cells, or from microbial organisms, including both pathogens and commensals. Activation of innate immune signalling is responsible for reinforcing the intestinal barrier by regulating proteins that create the biochemical and physical barriers of the intestine. While there has been much progress in understanding the role innate immune signalling plays in regulating the intestinal epithelium, the regulation of intestinal stem cells (ISCs) is less characterized. ISCs are a crucial component of this barrier, as they divide rapidly to replace shed and dying cells continually. Although we know microbes likely play an essential role in regulating ISC function, the mechanisms underlying this regulation remain poorly characterized. To this end, the work presented in this thesis demonstrates a functional role for innate immune signalling in ISCs. ADP-Heptose (ADP-Hep), a metabolite produced by Gram-negative bacteria as an intermediate of lipopolysaccharide biosynthesis, is detected in the host cytosol by the kinase ALPK1, which engages TIFA-dependent innate immune responses. In the intestinal epithelium, ALPK1 and TIFA were mainly expressed by the ISC pool, where they controlled the replacement of homeostatic ISCs by new revival stem cells (revSCs) following injury. Mechanistically, ADP-Hep triggered pro-inflammatory NF-κB signalling and TNF-dependent ISC apoptosis, which initiated a TGF-β- and YAP-dependent revSC program. Single-cell transcriptomics and lineage-tracing experiments identified Paneth cells as a cell of origin for revSC induction in response to ADP-Hep. In vivo, revSC emergence following irradiation or dextran sodium sulphate-induced injury was blunted in Tifa-/- mice. Together, our work reveals that ALPK1-TIFA signalling contributes to ISC turnover in response to bacterial detection in the intestine.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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
Published2025
Admission routes1
Has abstractyes

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