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Record W4313543641 · doi:10.1016/j.xpro.2022.101987

Measuring SERCA-mediated calcium uptake in mouse muscle homogenates

2023· article· en· W4313543641 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSTAR Protocols · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsBrock University
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSERCACalciumChemistryProtocol (science)Endoplasmic reticulumCardiac muscleATPaseSkeletal muscleBiophysicsBiochemistryAnatomyBiologyEnzymePathologyMedicine

Abstract

fetched live from OpenAlex

This protocol employs the indo-1 Ca2+ fluorophore to quantify Ca2+ uptake by the sarco(endo)plasmic reticulum Ca2+ ATPase pump in murine muscle homogenates and allows for real-time kinetic measurement of Ca2+ mobilization within the muscle homogenate. This protocol can be easily adapted for other tissue types and can be modified to single-emission/single-excitation Ca2+ dyes. Fitted to a 96-well plate, this assay can be readily performed in most laboratories with minimal sample requirement and the option of multiple replicates. For complete details on the use and execution of this protocol, please refer to Braun et al. (2022),1 Braun et al. (2021a),2 Braun et al. (2021b),3 Cleverdon et al. (2022),4 and Geromella et al. (2022).5

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.

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 score0.272
Threshold uncertainty score0.425

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 head0.063
GPT teacher head0.300
Teacher spread0.237 · 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