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Record W1977109589 · doi:10.1101/pdb.prot080325

LysoTracker Staining to Aid in Monitoring Autophagy in <i>Drosophila</i>

2014· article· en· W1977109589 on OpenAlexafffund
Lindsay DeVorkin, Sharon M. Gorski

Bibliographic record

VenueCold Spring Harbor Protocols · 2014
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsSimon Fraser UniversityBC Cancer Agency
FundersCanadian Institutes of Health Research
KeywordsAutophagyCell biologyStainingBiologyFlow cytometryCellMolecular biologyGeneticsApoptosis

Abstract

fetched live from OpenAlex

LysoTracker is an acidotropic dye that stains cellular acidic compartments, including lysosomes and autolysosomes. LysoTracker has been used to detect autophagy-associated lysosomal activity in Drosophila tissues including the fat body, midgut, salivary gland and ovary, as well as in Drosophila cell culture. A low level of LysoTracker staining can be observed under resting or well-fed conditions, and is increased following autophagic stimuli such as starvation. Here we provide a protocol for examining LysoTracker levels in Drosophila cultured cells in vitro using standard cell culture methods and flow cytometry. We also describe how to examine LysoTracker in fixed and nonfixed Drosophila tissues using fluorescence microscopy. Ovary tissue is used as an example. Dissections of ovaries are relatively easy to perform, given their large size.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.005

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 head0.322
Teacher spread0.297 · 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 designNot applicable
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

Citations63
Published2014
Admission routes2
Has abstractyes

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