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Record W4295065800 · doi:10.1016/j.bbrep.2022.101340

Roles of Ca2+ activity in injury-induced migration of microglia in zebrafish in vivo

2022· article· en· W4295065800 on OpenAlexaff
Tian Du, Xi Zhou, Robert Du Yang Zhang, Xu-Fei Du

Bibliographic record

VenueBiochemistry and Biophysics Reports · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsUniversity of Toronto
FundersScience and Technology Commission of Shanghai Municipality
KeywordsMicrogliaZebrafishIn vivoCell biologyImmune systemNeuroscienceExtracellularIntracellularCell migrationBiologyCellInflammationImmunologyBiochemistryGene

Abstract

fetched live from OpenAlex

Microglia are the resident immune cells in the brain. It is well known that brain injury can activate the microglia and induce its directional migration towards the injury sites for exerting immune functions. While extracellular ATP released from the injury site mediates the directionality of activated microglia's migration, what endows activated microglia with migration capability remains largely unexplored. In the present study, we used the larval zebrafish as an in vivo model to visualize the dynamics of both morphology and Ca 2+ activity of microglia during its migration evoked by local brain injury. We found that, in response to local injury, activated microglia exhibited an immediate Ca 2+ transient and later sustained Ca 2+ bursts during its migration towards the local injury site. Furthermore, suppression of Ca 2+ activities significantly retarded microglial cell migration. Thus, our study suggests that intracellular Ca 2+ activity is required for activated microglia's migration.

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 score0.008
Threshold uncertainty score0.015

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.016
GPT teacher head0.244
Teacher spread0.228 · 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

Citations8
Published2022
Admission routes1
Has abstractyes

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