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Record W4210992606 · doi:10.1002/jcp.30698

The WNK1 kinase regulates the stability of transcription factors during wound healing of human corneal epithelial cells

2022· article· en· W4210992606 on OpenAlexafffund
Pascale Desjardins, Gaëtan Le‐Bel, Sergio Cortez Ghio, Lucie Germain, Sylvain L. Guérin

Bibliographic record

VenueJournal of Cellular Physiology · 2022
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsCell biologyWound healingBiologyAP-1 transcription factorExtracellular matrixTranscription factorCorneaCorneal epitheliumIntegrinGene expression profilingMicroarray analysis techniquesGene expressionMolecular biologyGeneImmunologyGeneticsCell

Abstract

fetched live from OpenAlex

Due to its superficial anatomical localization, the cornea is continuously subjected to injuries. Damages to the corneal epithelium trigger important changes in the composition of the extracellular matrix to which the basal human corneal epithelial cells (hCECs) attach. These changes are perceived by membrane-bound integrins and ultimately lead to re-epithelialization of the injured epithelium through intracellular signalin. Among the many downstream targets of the integrin-activated signaling pathways, WNK1 is the kinase whose activity is the most strongly increased during corneal wound healing. We previously demonstrated that pharmacological inhibition of WNK1 prevents proper closure of wounded human tissue-engineered cornea in vitro. In the present study, we investigated the molecular mechanisms by which WNK1 contributes to corneal wound healing. By exploiting transcription factors microarrays, electrophoretic mobility-shift assay, and gene profiling analyses, we demonstrated that the DNA binding properties and expression of numerous transcription factors (TFs), including the well-known, ubiquitous TFs specific protein 1 (Sp1) and activator protein 1 (AP1), were reduced in hCECs upon WNK1 inhibition by WNK463. This process appears to be mediated at least in part by alteration in both the ubiquitination and glycosylation status of these TFs. These changes in TFs activity and expression impacted the transcription of several genes, including that encoding the α5 integrin subunit, a well-known target of both Sp1 and AP1. Gene profiling revealed that only a moderate number of genes in hCECs had their level of expression significantly altered in response to WNK463 exposition. Interestingly, analysis of the microarray data for these deregulated genes using the ingenuity pathway analysis software predicted that hCECs would stop migrating and proliferating but differentiate more when they are grown in the presence of the WNK1 inhibitor. These results demonstrate that WNK1 plays a critical function by orienting hCECs into the appropriate biological response during the process of corneal wound healing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.087
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.026
GPT teacher head0.250
Teacher spread0.225 · 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.

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

Citations3
Published2022
Admission routes2
Has abstractyes

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