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Record W2535609205 · doi:10.1155/2016/2735347

Hydrogen Sulfide Regulates the [Ca<sup>2+</sup>]<sub>i</sub> Level in the Primary Medullary Neurons

2016· article· en· W2535609205 on OpenAlexaff
Xiaoni Liu, Nana Zhang, Ying-Jiong Ding, Dongqing Cao, Ying Huang, Xiangjun Chen, Rui Wang, Ning Lü

Bibliographic record

VenueOxidative Medicine and Cellular Longevity · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsLaurentian University
FundersNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsHydrogen sulfidePrimary (astronomy)Medullary cavityChemistrySulfideHydrogenBiophysicsBiologyPhysicsSulfurAnatomyOrganic chemistry

Abstract

fetched live from OpenAlex

In the present study, we attempted to elucidate mechanisms for the regulation of intracellular calcium levels by H 2 S in primary rat medullary neurons. Our results showed that NaHS significantly increased the level of in rat medullary neurons in a concentration‐dependent manner. L‐Cysteine and SAM significantly raised the level of in the medullary neurons while HA and/or AOAA produced a reversal effect. In addition, L‐cysteine and SAM significantly increased but HA and/or AOAA decreased the production of H 2 S in the cultured neurons. The elevation induced by H 2 S was significantly diminished by EGTA‐Ca 2+ ‐free solutions, and this elevation was also reduced by nifedipine or nimodipine and mibefradil, suggesting the role of L‐type and/or T‐type Ca 2+ channels. Moreover, the effect of H 2 S on level in neurons was significantly attenuated by BAPTA‐AM and thapsigargin, suggesting the source of Ca 2+ . Therefore, we concluded that both exogenous and endogenous H 2 S elevates level in primarily cultured rat medullary neurons via both increasing calcium influx and mobilizing intracellular Ca 2+ stores from ER.

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 score0.043
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.240
Teacher spread0.217 · 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

Citations11
Published2016
Admission routes1
Has abstractyes

Explore more

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