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Record W4213328538 · doi:10.1093/jcag/gwab049.016

A17 <i>TRP53</i> REGULATES ESLF-RENEWAL AND CELL DIFFERENTIATION IN <i>KRT15+ INTESTINAL STEM CELLS</i>

2022· article· en· W4213328538 on OpenAlexaff
Anand Prakash Dubey, Alexis Gonneaud, Véronique Giroux

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsStem cellOrganoidBiologyCell biologyIntestinal epitheliumWnt signaling pathwayLGR5Paneth cellMultipotent Stem CellCellular differentiationStem cell markerAdult stem cellIntestinal mucosaCancer stem cellEpitheliumSignal transductionSmall intestineGeneticsProgenitor cellGeneInternal medicineEndocrinologyMedicine

Abstract

fetched live from OpenAlex

Abstract Background Different pools of stem cells assure the intestinal epithelium homeostasis and regeneration. We recently reported that Krt15+ intestinal cells harbor self-renewal, multipotent and regenerative capacities, characteristics consistent with a stem cell population. p53 has been associated with the development of various types of cancer, and recent studies suggested it also regulates adult stem cell behavior in some tissues. However, its role in the maintenance of intestinal stem cells has not been explicitly covered. Therefore, we hypothesize that Trp53 loss specifically in Krt15+ intestinal stem cells will perturb the epithelial homeostasis and differentiation. Aims Identify the role of Trp53 in the regulation of intestinal stem cell and intestinal homeostasis Methods To induce Trp53 loss specifically in Krt15+ cells, we generated Krt15 CrePR1;Trp53fl/fl ( Krt15△Trp53) mice and induced Cre recombination by injecting RU486 (PR agonist). Mice were euthanized after Cre recombination at different time points. Organoid cultures were established from control and experimental mice. Results Two-month post Cre recombination, we observed no major morphological changes in the intestinal epithelium. However, we observed that crypts isolated from Krt15△Trp53 mice died rapidly and had difficulties forming organoids. When hyperactivating the Wnt/beta-catenin pathway through CHIR treatment, we observed that budding capacity was maintained in experimental organoids while control organoids formed mainly cysts as expected. We also observed an increased in Paneth cell-specific genes, suggesting an enrichment in Paneth cells. Interestingly, the expression of EpHB2 receptor and its target genes was decreased in organoids derived from Krt15△Trp53 mice. Ephrin signaling plays a crucial role in intestinal homeostasis by regulating cell position and migration, and previous studies suggest that ephrin receptors are a target of p53. Indeed, twelve-month post Cre recombination, altered architecture of crypt and villi was noted in the small intestinal epithelium of Krt15△Trp53 mice. Differentiation towards secretory cell types, specifically Paneth, goblet, and tuft cells, are significantly increased in Krt15△Trp53 mice. Interestingly, we also observed crypt cells expressing both goblet and Paneth cell markers suggesting dysfunction in the cell fate decision. Finally, decreased Notch pathway activation was also observed supporting that Trp53 loss, specifically in Krt15+ cells, leads to a dysregulation of secretory cell fate. Conclusions Loss of Trp53 specifically in Krt15+ cells affects the small intestinal homeostasis and secretory cell differentiation. Decreased Notch and ephrin signaling support the possible role of Trp53 in cell fate decision and self-renewal. Funding Agencies None

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 score0.007

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 integrity0.0000.001
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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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