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Regulation of Intestinal Epithelial Thymic Stromal Lymphopoietin Expression by Retinoic Acid Receptor Alpha

2020· article· en· W3016672391 on OpenAlexaffabout
Ramsha Mahmood, Ronald Chan, Paul L. Beck, Humberto Jijon

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsThymic stromal lymphopoietinCell biologyBiologyRetinoic acidProinflammatory cytokineRetinoic acid receptorIntestinal mucosaStromal cellCancer researchIntestinal epitheliumImmune systemImmunologyInflammationCell cultureEpitheliumMedicineInternal medicine

Abstract

fetched live from OpenAlex

We have previously targeted the retinoic acid receptor alpha (RARα) isoform in murine intestinal epithelial cells (IECs) to explore the role of epithelial intrinsic retinoid signaling in intestinal immune homeostasis. We noted a significant decrease in the CD11c+ and CD103+ dendritic cell (DC) subpopulations in the intestines of intestinal‐epithelial specific RARα‐deficient (RARα villin ) mice. In the present study, we identified Thymic Stromal Lymphopoietin (TSLP) as a contributing factor that influences intrinsic RARα signaling within IECs as this epithelial‐derived cytokine preferentially stimulates CD103+ DCs to a more tolerogenic phenotype in the GI tract, induces Tregs and drives T H 2 polarization. TSLP also influences immune homeostasis by modulating the activation of myeloid cells, inhibition of proinflammatory DCs, and production of IL‐12. Notably, TSLP levels are decreased in Crohn’s disease (CD) where inflammation is driven by IL‐12. We hypothesize that RA intrinsic signaling within IECs modulates TSLP expression via activation of RARα. We sought to generate a RARα −/− murine intestinal epithelial cell line utilizing the CRISPR/CAS9 system to examine the effects of RARα ablation. Second, we aim to establish RARα’s role in regulating intestinal epithelial TSLP expression in both the RARα villin mice and the CRISPR‐generated RARα −/− cell line. Exon 5 in the open reading frame of the RARα gene in Mode‐K murine IECs was targeted using CRISPR/CAS9. CRISPR cleavage and knockdown of RARα activity was confirmed via surveyor/luciferase assays. The cell lines were phenotyped with regards to their morphology, proliferative ability, and viability. Next, we examined TSLP mRNA expression in the colons of RARα villin mice and the CRISPR RARα −/− knockout cell line via qRT‐PCR under baseline and stimulated conditions. Wild‐type (WT) and RARα−/− cells were stimulated with RARα‐selective agonist, BMS753, and muramyl dipeptide (MDP), a NOD2‐selective agonist. TSLP expression in surface colonic epithelium was elevated 2.3‐fold in RARα villin mice compared to WT litter mates. TSLP expression was elevated 10‐fold in the Mode‐K RARα−/− cells versus parent cells at baseline. BMS753 stimulation resulted in a 15‐fold increase in TSLP expression in the RARα−/− cells compared to baseline. When stimulated with MDP, a NOD2‐selective agonist and known stimulus of TSLP production, TSLP expression was elevated 60‐fold in the RARα−/− cells, but significantly impaired compared to the WT cells (400‐fold), suggesting a different regulatory mechanism under stimulated conditions. Identifying a link between dietary factors, such as RA, its receptors and the TSLP molecular pathway can facilitate our understanding of how environmental components contribute to the pathogenesis of inflammatory bowel disease. TSLP expression is controlled by RARα in colonic IECs where it may act as a repressor of TSLP promoter transactivation under baseline conditions. This suggests an important role for RA on myeloid and T cell function via effects on intestinal epithelial TSLP expression. Support or Funding Information University of Calgary, Department of Medicine and Crohn's Colitis Canada

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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
Published2020
Admission routes2
Has abstractyes

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