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Record W4211134984 · doi:10.1016/j.xpro.2022.101164

Protocol to generate mouse oviduct epithelial organoids for viral transduction and whole-mount 3D imaging

2022· article· en· W4211134984 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 · 2022
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsMcGill University
FundersFonds de Recherche du Québec - SantéCanadian Cancer SocietyCanadian Cardiovascular SocietyCanadian Cancer Society Research InstituteCancer Research Society
KeywordsOrganoidOviductCell biologyBiologySerous fluidCentrosomeEpitheliumCellTransduction (biophysics)Malignant transformationCancer researchCell cycle

Abstract

fetched live from OpenAlex

Epithelial cells lining the oviduct/fallopian tube are essential in reproduction and have been identified as the cell-of-origin in high-grade serous ovarian carcinoma (HGSOC). This protocol describes the generation of organoids from mouse oviduct epithelial cells, providing a powerful in vitro tool to study epithelial homeostasis and malignant transformation. We also outline a protocol for whole-mount immunofluorescence and 3D confocal imaging. In addition, we describe approaches of viral transduction to investigate gene function in organoid development and epithelial cell behavior. For complete details on the use and execution of this profile, please refer to Ford et al. (2021).

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)0.000
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: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.628
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.030
GPT teacher head0.346
Teacher spread0.316 · 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