MétaCan
Menu
Back to cohort
Record W2767123741 · doi:10.1016/j.celrep.2017.09.096

Mass Cytometric Analysis Reveals Viable Activated Caspase-3+ Luminal Progenitors in the Normal Adult Human Mammary Gland

2017· article· en· W2767123741 on OpenAlexafffund
David J. H. F. Knapp, Nagarajan Kannan, Davide Pellacani, Connie J. Eaves

Bibliographic record

VenueCell Reports · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsBC Cancer Agency
FundersCanadian Cancer Society Research Institute
KeywordsClonogenic assayBiologyEpidermal growth factorProgenitor cellMammary glandIn vitroCell biologyImmunohistochemistryProgenitorBasal (medicine)Molecular biologyCell cultureEndocrinologyImmunologyStem cellBiochemistryBreast cancerGeneticsCancer

Abstract

fetched live from OpenAlex

The normal adult human female mammary gland is a bilayered structure consisting of an outer basal layer and two readily distinguished subsets of cells within the inner luminal layer. We now present a validated methodology for undertaking large-scale multi-parameter mass cytometric analyses of these cell types at single-cell resolution. In addition, we show how combining this approach with in vitro clonogenic assays of the proliferative and signaling responses of normal human mammary cells to epidermal growth factor (EGF) allows additional subsets with different EGF responses to be discerned. This included the identification of a subset of cells within the phenotypically defined luminal progenitor fraction that displays an elevated content of active caspase-3, including some that generate clones in vitro in response to EGF, with immunohistochemical evidence of their presence in situ in fixed preparations of normal human breast tissue.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations24
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueCell ReportsSame topicCancer Cells and MetastasisFrench-language works237,207