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Record W4317938354 · doi:10.1016/j.xpro.2023.102062

Click-chemistry-based protocol to quantitatively assess fatty acid uptake by Mycobacterium tuberculosis in axenic culture and inside mouse macrophages

2023· article· en· W4317938354 on OpenAlexaboutno aff
Thomas Laval, Caroline Demangel

Bibliographic record

VenueSTAR Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
FundersMinistère de l'Enseignement supérieur, de la Recherche et de l'InnovationInstitut PasteurFondation pour la Recherche MédicaleInstitut National de la Santé et de la Recherche Médicale
KeywordsAxenicClick chemistryMycobacterium tuberculosisFlow cytometryChemistryFluorescence microscopeFluorescenceTuberculosisMicrobiologyBiologyBiochemistryCell biologyBacteriaMolecular biologyCombinatorial chemistryMedicineGenetics

Abstract

fetched live from OpenAlex

Mycobacterium tuberculosis (Mtb) hijacks host-derived fatty acids (FAs) to sustain its intracellular growth inside host cells. Here, we present a click-chemistry-based protocol to assess FA import by Mtb in axenic culture or inside mouse macrophages. We describe the use of alkyne analogs of natural FAs as an alternative to structurally altered fluorescent derivatives or hazardous radiolabeled FAs. We also detail quantitative analyses of FA uptake at single bacterial or host cell level by flow cytometry and confocal fluorescence microscopy. For complete details on the use and execution of this protocol, please refer to Laval et al. (2021).1

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.355
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.403
Teacher spread0.344 · 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
GenreProtocol

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

Citations2
Published2023
Admission routes1
Has abstractyes

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