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Record W4401286465 · doi:10.1021/acsomega.4c04998

PACS-1 Interacts with TRPC3 and ESyt1 to Mediate Protein Trafficking while Promoting SOCE and Cooperatively Regulating Hormone Secretion

2024· article· en· W4401286465 on OpenAlexafffund
Steven M. Trothen, Jack E. Teplitsky, Ryan E. Armstong, Rong Xuan Zang, Antony Lurie, Mitchell J. Mumby, Cassandra R. Edgar, Matthew W. Grol, Jimmy D. Dikeakos

Bibliographic record

VenueACS Omega · 2024
Typearticle
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaSchulich School of Medicine and DentistryCanadian Institutes of Health Research
KeywordsTRPC3SecretionEndoplasmic reticulumCell biologySTIM1Adrenocorticotropic hormoneInternal medicineEndocrinologyReceptorChemistryBiologyTransient receptor potential channelHormoneTRPCMedicine

Abstract

fetched live from OpenAlex

Corticotropic cells of the anterior pituitary gland release adrenocorticotropic hormone (ACTH) in a regulated manner to promote the production of cortisol and androgens. The process of ACTH secretion is partly mediated by the phosphofurin acidic cluster sorting protein 1 (PACS-1); however, the underlying mechanisms behind this regulation remain unclear. Herein, we demonstrated PACS-1 interactions with the short transient receptor potential channel 3 (TRPC3) calcium transporter and the extended synaptotagmin-1 (ESyt1) endoplasmic reticulum-plasma membrane tethering protein. Importantly, PACS-1 promoted interactions between TRPC3 and ESyt1 and regulated their plasma membrane localization. Lastly, we demonstrated that PACS-1 is required for a proper store-operated calcium entry (SOCE) response and that ESyt1 regulates ACTH secretion through an unknown mechanism regulated by PACS-1. Overall, our study provides new insights into the physiological role PACS-1 plays in modulating intracellular calcium levels and regulating ACTH secretion in corticotropic cells.

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 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 score0.013
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.022
GPT teacher head0.252
Teacher spread0.230 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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