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Record W7037259746

The dynamics of cadherin-mediated cell-cell adhesion tissue separation in Xenopus Laevis

2013· dissertation· en· W7037259746 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsXenopusDynamics (music)Embryonic stem cellCell adhesionActinCadherinAdhesionConfocal microscopyEmbryo
DOInot available

Abstract

fetched live from OpenAlex

The formation and maintenance of boundaries between embryonic regions are crucial to preserve the organization of the embryo during development. One important parameter that needs to be regulated at the interface between cells of two different tissues is cell-cell adhesion. In the present study, we attempted to understand and characterize the dynamics of cadherin-mediated cell-cell adhesion at the ectoderm-mesoderm boundary of the Xenopus gastrula. At this boundary, it has been recently shown that cells undergo cycles of attachments and detachments as the result of ephrin/Eph signaling (Rohani, Canty, Luu, Fagotto, & Winklbauer, 2011). Using three-dimensional live confocal microscopy, we found that the total levels of cadherin at the membrane do not change reproducibly during local repulsive events between ectodermal and mesodermal cells. Cadherin clusters, however, appear during contact establishment and often begin to fade away prior to the start of cell detachments. While the role of acto-myosin contraction in this process is still not fully elucidated, we found that cortical actin was upregulated during cell detachments, and that phospho-myosin was enriched at the endogenous ectoderm-mesoderm boundary. Furthermore, our data suggest that there may be two pools of activated myosin, and that the one that is most prominent at the boundary is the one involved in global cortical tension.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.228
Teacher spread0.212 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2013
Admission routes1
Has abstractyes

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