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Record W6997948698

エストロゲンによる異なった受容体を介するマクロファージ様細胞のNa, K-ATPase活性促進作用

2023· article· en· W6997948698 on OpenAlexfundno aff

Bibliographic record

VenueHokkaido University Collection of Scholarly and Academic Papers (Hokkaido University) · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsnot available
FundersMcGill University
KeywordsDownregulation and upregulationGPEREstrogen receptorReceptorProtein subunitSignal transductionPhosphorylation
DOInot available

Abstract

fetched live from OpenAlex

Many types of cells in the monocyte‒macrophage linage have been shown to be regulated by estrogen. In addition, a body of information suggests that the Na, K-ATPase pump could be a target of 17β-estradiol (E2) in various types of cells. In this study, we explored the effects of E2 on the Na, K-ATPase in macrophage-like RAW 264.7 cells. E2 treatment of RAW 264.7 cells led to biphasic stimulation of Na, K-ATPase activity: an early activation via the cell surface receptor GPR30 and a late upregulation by nuclear estrogen receptor (ER)-activated signals. Antagonization of GPR30 by G15 abolished E2-induced early activation of Na, K-ATPase, while inhibition of ER signals nullified its late upregulation of Na, K-ATPase activity in a dose-dependent manner. Furthermore, short-term treatment with E2 induced phosphorylation of the Na, K-ATPase α1- subunit at Tyr-10, which relied on was related to an increase i n the N a+ affinity of Na, K-ATPase. These results illustrate the involvement of two diffe rent signaling pathways in the regulation of Na, K-ATPase by E2.

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 score0.006

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.197
Teacher spread0.184 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueHokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)Same topicIon Transport and Channel RegulationFrench-language works237,207