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Record W2154374239 · doi:10.1139/y09-118

Flickering calcium microdomains signal turning of migrating cellsThis article is one of a selection of papers published in this special issue on Calcium Signaling.

2010· review· en· W2154374239 on OpenAlexvenueno aff
Chaoliang Wei, Xianhua Wang, Min Chen, Kunfu Ouyang, Ming Zheng, Heping Cheng

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2010
Typereview
Languageen
FieldNeuroscience
TopicIon Channels and Receptors
Canadian institutionsnot available
Fundersnot available
KeywordsCalciumCalcium signalingEndoplasmic reticulumRyanodine receptorCalcium in biologyBiophysicsCalcium pumpCell biologyTransient receptor potential channelVoltage-dependent calcium channelInositol trisphosphateChemistryInositolReceptorSignal transductionBiologyIntracellularBiochemistry

Abstract

fetched live from OpenAlex

It has been well-established that polarized migrating cells exhibit a stable and transient gradient of intracellular calcium concentration ([Ca2+]i), increasing from front-to-rear, that is thought to be responsible for rear retraction. The paradox that arises is how calcium at the front of a cell catalyzes critical high-threshold calcium-dependent processes during cell migration and particularly in decision-making for a cell to turn. In this brief review, we discuss the recent discovery of flickering high-[Ca2+]i microdomains ("calcium flickers") at the front of migrating fibroblasts and their common role in transducing local membrane mechanical stress (via TRPM7, a stretch-activated calcium-permeating transient receptor potential channel) and chemoattractant-elicited signals (via type 2 inositol 1,4,5-trisphosphate receptor in the endoplasmic reticulum). Furthermore, we present a new model for patterned calcium flicker activity as the mechanism for steering the turning of a migrating cell.

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 categoriesInsufficient payload (model declined to judge)
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 score0.126
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.000

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 head0.043
GPT teacher head0.313
Teacher spread0.270 · 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 teacher head, not a consensus.

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

Citations32
Published2010
Admission routes1
Has abstractyes

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