MétaCan
Menu
Back to cohort
Record W2124847038 · doi:10.1081/erc-200043776

Role of Extracellular Matrix Components in Adult Rat Adrenal Gland Homeostasis

2004· article· en· W2124847038 on OpenAlexafffund
Shirley Campbell, Mélissa Otis, Nicole Gallo‐Payet, Marcel D. Payet

Bibliographic record

VenueEndocrine Research · 2004
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchUniversity of California, Santa Cruz
KeywordsHomeostasisExtracellular matrixAdrenal glandCell biologyEndocrinologyInternal medicineMatrix (chemical analysis)BiologyExtracellularChemistryMedicine

Abstract

fetched live from OpenAlex

Numerous studies have demonstrated that the cellular environment could alter cell functions. The aim of the present study was to determine the extracellular matrix components and their integrin receptors within the rat adrenal gland and to evaluate the role of these components in rat adrenal glomerulosa cells behavior. RT-PCR and Western blot experiments showed that integrins a5 and av as well as their fibronectin receptor partners b1 and b3, were present in rat glomerulosa cells in culture. Furthermore, we report that rat glomerulosa cells in culture plated on poly-l-lysine coverslips are able to produce and secrete ECM components in their environment. Laminin (LN), fibronectin (FN), and collagen I (Col I) are found to be secreted and still in interaction with the glomerulosa cells. Finally, immunohistochemistry experiments done on paraffin section of rat adrenal glands, using specific antibodies, showed that FN, Col I, and LN present differential expression throughout the adrenal glands. Given that we showed that Arg-Gly-Asp (RGD) peptide and a fibronectin matrix could stimulate aldosterone secretion, these results suggested that the binding of integrins to extracellular matrix components could be important for adult rat adrenal glands homeostasis.

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)0.001
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 score0.048
Threshold uncertainty score0.807

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.376
Teacher spread0.328 · 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
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueEndocrine ResearchSame topicCell Adhesion Molecules ResearchFrench-language works237,207