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Record W2178570213 · doi:10.1093/jmcb/mjv030

Ectodermal progenitors derived from epiblast stem cells by inhibition of Nodal signaling

2015· article· en· W2178570213 on OpenAlexaff
Lingyu Li, Lu Song, Chang Liu, Jun Chen, Guangdun Peng, Ran Wang, Pingyu Liu, Ke Tang, Janet Rossant, Naihe Jing

Bibliographic record

VenueJournal of Molecular Cell Biology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPluripotent Stem Cells Research
Canadian institutionsHospital for Sick Children
FundersChinese Academy of Sciences
KeywordsEpiblastEctodermBiologyCell biologyEmbryonic stem cellNeuroectodermGerm layerNODALNodal signalingGastrulationStem cellProgenitor cellMesodermEmbryogenesisInduced pluripotent stem cellGeneticsEmbryo

Abstract

fetched live from OpenAlex

The ectoderm has the capability to generate epidermis and neuroectoderm and plays imperative roles during the early embryonic development. Our recent study uncovered a region with ectodermal progenitor potential in mouse embryo at embryonic day 7.0 and revealed that Nodal inhibition is essential for its formation. Here, we demonstrate that through brief inhibition of Nodal signaling in vitro, mouse embryonic stem cell (ESC)-derived epiblast stem cells (ESD-EpiSCs) could be committed to transient ectodermal progenitor populations, which possess the ability to give rise to neural or epidermal ectoderm in the absence or presence of BMP4, respectively. Mechanistic studies reveal that BMP4 recruits distinct transcriptional targets in ESD-EpiSCs and ectoderm-like cells. Furthermore, FGF-Erk signaling may also be alleviated during the generation of ectoderm-like cells. Thus, our data suggest that instructive interactions among several extracellular signals participate in the commitment of ectoderm from ESD-EpiSCs, which shed new light on the understanding of the formation of ectoderm during the gastrulation in early mouse embryo development.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.244
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

Citations29
Published2015
Admission routes1
Has abstractyes

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