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Record W2410491910 · doi:10.1007/978-1-60761-404-3_7

The Application of Fluorescent Probes for the Analysis of Lipid Dynamics During Phagocytosis

2009· article· en· W2410491910 on OpenAlexafffund
Ronald S. Flannagan, Sergio Grinstein

Bibliographic record

VenueMethods in molecular biology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLipid Membrane Structure and Behavior
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of CanadaCystic Fibrosis Foundation
KeywordsPhagocytosisCell biologyFluorescenceConfocal microscopyEffectorConfocalBiologyDynamics (music)Fluorescence microscopeConfocal laser scanning microscopyBiophysicsChemistryOptics

Abstract

fetched live from OpenAlex

Phagocytosis is the process whereby specialized leukocytes ingest large particles. This is an extremely dynamic and localized process that requires the recruitment to the sites of ingestion of numerous effector proteins, together with extensive lipid remodelling. To investigate such a dynamic series of events in living cells, non-invasive methods are required. The use of fluorescent probes in conjunction with spectroscopic analysis is optimally suited for this purpose. Here we describe a method to express in RAW264.7 murine macrophages genetically encoded probes that allow for the spatio-temporal analysis of lipid distribution and metabolism during phagocytosis of immunoglobulin-opsonized beads. The fluorescence of the probes is best analysed by laser scanning or spinning disc confocal microscopy. While the focus of this chapter is on phagocytic events, this general method can be employed for the analysis of lipid distribution and dynamics during a variety of biological processes in the cell type of the investigator's choice.

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: Methods · Consensus signal: Methods
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.362
Teacher spread0.352 · 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
GenreMethods

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

Citations9
Published2009
Admission routes2
Has abstractyes

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