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Record W2899971410 · doi:10.1039/c8ob02255k

Methyl 5-MeO-<i>N</i>-aminoanthranilate, a minimalist fluorogenic probe for sensing cellular aldehydic load

2018· article· en· W2899971410 on OpenAlexafffund
Mojmı́r Suchý, Caitlin Lazurko, Alexia Kirby, Trina Dang, Chaojie Liu, Adam J. Shuhendler

Bibliographic record

VenueOrganic & Biomolecular Chemistry · 2018
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsChemistryBiophysics

Abstract

fetched live from OpenAlex

Methyl 5-MeO-N-aminoanthranilate, a fluorogenic probe comprising a single substituted benzene ring has been applied towards the fluorescence detection of endogenous carbonyls through rapid, catalyst-free complexation of these bio-derived markers of cell stress under physiological conditions. The products formed during the reaction between the probe and aldehydic products of lipid peroxidation, including malondialdehyde and long-chain aliphatic aldehydes relevant to the oxidative decomposition of cell membranes, have been evaluated. Live cell imaging of diethyl maleate-induced oxidative stress with or without pretreatment with α-tocopherol was carried out, with the result suggesting that the presented molecule might serve as a minimalist molecular probe capable of cellular "Aldehydic Load" detection by fluorescence microscopy. This work also outlines functional constraints of the fluorogenic probe (i.e. intramolecular cyclization), providing a realistic evaluation of methyl 5-MeO-N-aminoanthranilate for fluorescence-based aldehyde detection.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.225
Teacher spread0.216 · 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

Citations15
Published2018
Admission routes2
Has abstractyes

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