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Record W2888110689 · doi:10.1134/s000635091803020x

A Method to Simultaneously Detect Changes in Intracellular Ca2+ Concentration and Cell Volume

2018· article· en· W2888110689 on OpenAlexaff
Olga Ponomarchuk, F. Boudreault, Г. В. Максимов, Ryszard Grygorczyk, Sergei N. Orlov

Bibliographic record

VenueBIOPHYSICS · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsIntracellularTonicityCalcium in biologyKineticsA549 cellBiophysicsChemistryCalciumVolume (thermodynamics)Fura-2CellSwellingCell biologyBiochemistryMaterials scienceBiologyCytosol

Abstract

fetched live from OpenAlex

A method to simultaneously assess the changes in intracellular calcium concentration and cell volume in single cells was developed using the Ca 2+ -sensitive fluorescent probe Fura-2 and a three-dimensional image-surface reconstruction technique, respectively. Studies with this method showed that Fura-2 loading had no significant effect on the kinetics of A549 human epithelial cell swelling in a hypotonic solution, as well as the volume restoration kinetics. Significant changes in intracellular Ca 2+ concentration were not observed in the examined volume modulation range. The results suggest that Ca 2+ -mediated signaling pathways are not involved in the autoregulation of the cell volume in A549 cells exposed to hypotonic conditions.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.007
GPT teacher head0.251
Teacher spread0.243 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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