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Record W4293384775 · doi:10.1016/j.xpro.2022.101638

Protocol to derive human trophoblast stem cells directly from primed pluripotent stem cells

2022· article· en· W4293384775 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.

Bibliographic record

VenueSTAR Protocols · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsUniversity of TorontoSinai Health SystemLunenfeld-Tanenbaum Research Institute
FundersYouth Innovation Promotion Association of the Chinese Academy of SciencesNatural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of China
KeywordsInduced pluripotent stem cellReprogrammingTrophoblastStem cellBiologyHuman placentaCell biologyComputational biologyEmbryonic stem cellPlacentaCellFetusGeneticsPregnancyGene

Abstract

fetched live from OpenAlex

Human trophoblast stem cells (hTSCs) are useful for studying human placenta development and diseases, but primed human pluripotent stem cells (hPSCs) routinely cultured in most laboratories do not support hTSC derivation. Here, we present a protocol to derive hTSCs directly from primed hPSCs. This approach, containing two strategies either with or without bone morphogenetic protein 4 (BMP4), provides a simple and accessible tool for deriving hTSCs to study placenta development and disease modeling without ethical limitations or reprogramming process. For complete details on the use and execution of this protocol, please refer to Wei 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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.349
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.015
GPT teacher head0.273
Teacher spread0.257 · 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