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Record W2024174149 · doi:10.1634/stemcells.2006-0644

Concise Review: Stem Cell Antigen-1: Expression, Function, and Enigma

2007· review· en· W2024174149 on OpenAlexafffund
Christina Holmes, William L. Stanford

Bibliographic record

VenueStem Cells · 2007
Typereview
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsUniversity of Toronto
FundersInstitute of Musculoskeletal Health and ArthritisInstitute of Infection and ImmunityCanadian Institutes of Health Research
KeywordsBiologyStem cellProgenitor cellCancer stem cellHaematopoiesisStem cell markerCell biologyComputational biology

Abstract

fetched live from OpenAlex

Cloned 20 years ago, stem cell antigen-1 (Sca-1) is used extensively to enrich for murine hematopoietic stem cells. The realization that many different stem cell types share conserved biochemical pathways has led to a flood of recent research using Sca-1 as a candidate marker in the search for tissue-resident and cancer stem cells. Although surprisingly little is still known about its biochemical function, the generation and analysis of knockout mice has begun to shed light on the functions of Sca-1 in stem and progenitor cells, demonstrating that it is more than a convenient marker for stem cell biologists. This review summarizes the plethora of recent findings utilizing Sca-1 as a parenchymal stem cell marker and detailing its functional role in stem and progenitor cells and also attempts to explain the lingering mysteries surrounding its biochemical function and human ortholog. Disclosure of potential conflicts of interest is found at the end of this article.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.005

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 head0.060
GPT teacher head0.331
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations411
Published2007
Admission routes2
Has abstractyes

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