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Record W2036876826 · doi:10.1089/scd.2008.0055

ALDH1 as a Functional Marker of Cancer Stem and Progenitor Cells

2008· review· en· W2036876826 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

VenueStem Cells and Development · 2008
Typereview
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersCanadian Institutes of Health ResearchChina Scholarship Council
KeywordsBiologyStem cellCancer stem cellProgenitor cellStem cell markerPopulationAdult stem cellSomatic cellCell biologyCancer researchEndothelial stem cellGeneticsIn vitroGeneMedicine

Abstract

fetched live from OpenAlex

Stem cells have now been described in a variety of tissues, even in those where the cells' turn over rate is slow, such as the brain and the resting mammary gland. There is also accumulating evidence that tumors are derived from and are maintained by a rare population of dysregulated stem cells. However, discrepancies in the markers used and reported have slowed down the functional characterization of these somatic stem cells. To circumvent this challenging issue, universal stem cell markers with properties common to all stem cell types must be discovered and exploited. In line with this idea, the measurement of aldehyde dehydrogenase isoform 1 (ALDH1) activity shows promising potential as a universal marker for the identification and isolation of stem cells from multiple sources. Herein, we review the available data reporting utilization of ALDH1 activity as a means to identify and isolate stem cells and cancer stem cells, with a special focus on the mammary gland and breast cancer.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.057
GPT teacher head0.301
Teacher spread0.244 · 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