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Record W2057492561 · doi:10.2147/chc.s13863

Precisely delivered nanomechanical forces induce blebbing in undifferentiated mouse embryonic stem cells

2011· article· en· W2057492561 on OpenAlexfundno aff
Farlan Veraitch

Bibliographic record

VenueCell Health and Cytoskeleton · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilCanada Research Chairs
KeywordsEmbryonic stem cellCell biologyStem cellHomeobox protein NANOGCytoskeletonEmbryoid bodyBiologyConfocal microscopyChemistryCellAdult stem cellInduced pluripotent stem cellGenetics

Abstract

fetched live from OpenAlex

Abstract: The aim of this study was to probe the morphological response of single mouse embryonic stem cells (mESC) to precisely delivered nanomechanical forces. Plating mESC as single cells gave rise to either round compact or flattened fibroblastic morphologies. The expression of OCT4 and Nanog was reduced in flattened cells, indicating that this population had begun to differentiate. Upon application of >5 nN of force, using atomic force microscopy and simultaneous laser scanning confocal microscopy, round cells, but not flattened cells, were capable of forming mechanically induced blebs (miBlebs). Flattened cells appeared to have a more highly developed cytoskeleton than undifferentiated stem cells as characterized by the distribution of phospho-ezrin-radixin-moesin (pERM). Higher levels of pERM and an inability to form miBlebs in flattened cells imply that the earliest stages of embryonic stem cell differentiation are associated with the development of stronger mechanical links between the plasma membrane and the cytoskeleton. Keywords: blebbing, embryonic stem cells, atomic force microscopy, cytoskeleton development, differentiation

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 head0.024
GPT teacher head0.241
Teacher spread0.217 · 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

Citations15
Published2011
Admission routes1
Has abstractyes

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