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Record W4400387256 · doi:10.1101/2024.07.05.602279

Autophagy inhibition in intestinal stem cells favors enteroendocrine cell differentiation through Stat92E activity

2024· preprint· en· W4400387256 on OpenAlexaff
Camille Lacarrière-Keïta, Sonya Nassari, Steve Jean

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsAutophagyEnteroendocrine cellCell biologyBiologyStem cellCellular differentiationEnterocyteLysosomeIntestinal epitheliumATG16L1EpitheliumGeneticsEndocrinologyHormoneEndocrine systemBiochemistryGeneApoptosisSmall intestine

Abstract

fetched live from OpenAlex

ABSTRACT Because the intestinal epithelium faces many stresses, dysregulation of essential mechanisms governing gut homeostasis, such as autophagy, has been associated with inflammatory bowel pathologies. In Drosophila melanogaster , the inhibition of autophagy, specifically in adult intestinal stem cells (ISCs), affects their number differently through aging. Appropriate intestinal renewal requires a balance between ISC proliferation and differentiation. Herein, we show that in adult ISCs, the loss of core autophagy genes and regulators of autophagosome-lysosome fusion increased the enteroendocrine cell population and transcriptional activity of Stat92E. Functional experiments with cell fate regulators involved in enteroendocrine or enterocyte differentiation or proliferation suggested that dysfunctional autophagy in adult ISCs enhanced Stat92E activity downstream of Hop/JAK kinase. Finally, lineage-tracing analyses confirmed that autophagy inhibition autonomously promotes enteroendocrine cell differentiation without affecting enterocyte differentiation. Thus, our data demonstrates that, under homeostatic conditions, basal autophagy limits enteroendocrine cell differentiation by controlling Stat92E activity.

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)0.000
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 score0.036
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.020
GPT teacher head0.208
Teacher spread0.187 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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