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Record W4392282151 · doi:10.1016/j.xpro.2024.102923

Protocol for quantifying SA-β-gal activity as a measure of senescence in islets of a mouse model of type 1 diabetes

2024· letter· en· W4392282151 on OpenAlex
Hugo Lee, Peter J. Thompson, Feyza Engin

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 · 2024
Typeletter
Languageen
FieldMedicine
TopicPancreatic function and diabetes
Canadian institutionsUniversity of Manitoba
FundersBreakthrough T1D CanadaNational Institute of General Medical SciencesCanadian Institutes of Health ResearchJDRFNational Institute of Diabetes and Digestive and Kidney DiseasesChildren's Hospital Research Institute of ManitobaNational Institutes of Health
KeywordsSenescenceIsletFlow cytometryBiologyCell biologyPancreatic isletsMolecular biologyDiabetes mellitusEndocrinology

Abstract

fetched live from OpenAlex

A subpopulation of pancreatic beta cells becomes senescent during type 1 diabetes (T1D) progression, and removal of these populations protects against T1D in mice. Here, we present a protocol to measure senescence in murine pancreatic islet cells through analysis of senescence-associated β-galactosidase activity. We describe steps for staining with the fluorogenic substrate C12FDG and analysis by flow cytometry. Increased cell size is another marker of senescence and can also be concurrently measured in the same experiment. For complete details on the use and execution of this protocol, please refer to Lee et al.1 and Helman et al.2

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.147
GPT teacher head0.391
Teacher spread0.245 · 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