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Record W122424169 · doi:10.1385/1-59259-983-4:123

Mouse Trophoblast Stem Cells

2005· article· en· W122424169 on OpenAlexaff
Jennifer A. Quinn, Tilo Kunath, Janet Rossant

Bibliographic record

VenueHumana Press eBooks · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsTrophoblastBlastocystCell biologyBiologyStem cellEmbryonic stem cellPlacentaFibroblast growth factorChimera (genetics)Inner cell massImmunologyEmbryoFetusEmbryogenesisGeneticsGeneReceptor

Abstract

fetched live from OpenAlex

The trophectoderm is one of the earliest cell types to differentiate in the forming mammalian embryo. It is responsible for the initial implantation and the formation of the trophoblast components of the placenta, an organ essential for nutrient and waste exchange between the fetus and its mother. The trophoblast can be modeled in vitro using trophoblast stem cells. Trophoblast stem cells require fibroblast growth factor (FGF)4, heparin, and contact with embryonic fibroblasts, or fibroblast-conditioned medium. They grow as tight epithelial colonies, which express markers of the early trophectoderm and have been shown to contribute to all of the components of the placenta through chimera studies. These cells can be passaged indefinitely and can be differentiated by removal of FGF4 and fibroblasts and will express genetic markers of later placental cell types. This chapter will discuss the initial derivation of trophoblast stem cells from the blastocyst stage, maintenance, differentiation, flow cytometry and transfection techniques that can be used with these cells.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.018

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 head0.034
GPT teacher head0.264
Teacher spread0.230 · 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 designBench or experimental
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

Citations49
Published2005
Admission routes1
Has abstractyes

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