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Record W4411122332 · doi:10.1016/j.xpro.2025.103885

Protocol for measuring beta-secretase activity in cell and tissue lysate using a fluorogenic peptide substrate in a 96-well format

2025· article· en· W4411122332 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 · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsLysisSubstrate (aquarium)PeptideBETA (programming language)ChemistryBiochemistryCellMolecular biologyBiologyComputer science

Abstract

fetched live from OpenAlex

The protease β-secretase (BACE1) plays a crucial role in the formation of amyloid-beta peptides. Here, we present a protocol for real-time quantification of BACE1 activity in brain tissue and cell lysates using a fluorogenic peptide substrate in a 96-well format. We describe steps for reagent and sample preparation, preparing the plate for BACE1 activity, and incubating and reading the plate, followed by quantification and analysis. This protocol is broadly accessible for laboratories studying enzymatic activity under physiological or pathological conditions. For complete details on the use and execution of this protocol, please refer to Baranowski et al. 1

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: Protocol · Consensus signal: none
Teacher disagreement score0.269
Threshold uncertainty score0.845

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 head0.051
GPT teacher head0.347
Teacher spread0.296 · 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