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Record W7026526193

Afficheurs microfluidiques pour la caractérisation de la dynamique de la voie de signalisation cellulaire Notch

2024· other· fr· W7026526193 on OpenAlexaboutno aff

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2024
Typeother
Languagefr
FieldPhysics and Astronomy
TopicNonlinear Waves and Solitons
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)LimitingContext (archaeology)Gloom
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ: La signalisation cellulaire est le processus biologique fondamental par lequel les cellules communiquent entre elles et avec leur environnement par l’entremise de différents signaux. La réponse cellulaire diffère selon la nature et l’intensité du signal, mais il est désormais connu que son évolution dans le temps a également un effet important. Notamment, la voie de signalisation Notch, importante dans le développement et le maintien de l’homéostasie, peut mener à des réponses cellulaires différentes selon sa dynamique d’activation. Ainsi, l’étude de la dynamique de signalisation cellulaire nécessite une résolution temporelle précise de livraison d’un signal aux cellules. Or, les techniques traditionnelles en biologie cellulaire axées sur le pipetage manuel des réactifs ne permettent pas d’atteindre cette résolution. Le laboratoire de Pr Thomas Gervais (Polytechnique Montréal) a développé une technologie, les afficheurs microfluidiques, qui pourrait pallier ce problème. Ces dispositifs de microfluidique ouverte permettent le contrôle spatio-temporel précis de fluides et la livraison de réactifs sur une surface ouverte, telle un plat de Pétri. L’objectif principal de ce projet est de démontrer la pertinence des afficheurs microfluidiques pour l’étude de la dynamique des voies de signalisation. ABSTRACT: Cell signaling is the fundamental biological process by which cells communicate with each other and their environment through the interaction of different signals. Cell response varies depending on the nature and intensity of a signal, but it is now well known that its temporal profile also plays an important role. Notably, the Notch signaling pathway, important in development and maintaining homeostasis, can lead to different cellular responses depending on its activation dynamics. Thus, the study of cell signaling dynamics requires precise temporal resolution of signal delivery to cells. However, traditional techniques in cell biology focused on manual reagent pipetting do not allow this resolution to be achieved. Pr Thomas Gervais’s research group (Polytechnique Montreal) has developed a technology, the microfluidic display, that could overcome this challenge. These open-space microfluidic devices provide precise spatiotemporal control of fluids and enable delivery of reagents to an open surface, such as a culture dish. The main objective of this project is to demonstrate the potential of microfluidic displays for the study of cell signaling dynamics.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.241
Teacher spread0.235 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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