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Record W4383186708 · doi:10.1002/anie.202306272

A Fluorogenic DNAzyme for A Thermally Stable Protein Biomarker from <i>Fusobacterium nucleatum</i>, a Human Bacterial Pathogen

2023· article· en· W4383186708 on OpenAlexafffund
Qian Feng, Sandy Zakaria, Devon Morrison, Kha Tram, Jim Gu, Bruno J. Salena, Yingfu Li

Bibliographic record

VenueAngewandte Chemie International Edition · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsFusobacterium nucleatumPathogenHuman pathogenSalivaBiomarkerComputational biologyBiologyMicrobiologyChemistryBiochemistryBacteriaGeneticsPorphyromonas gingivalis

Abstract

fetched live from OpenAlex

Fusobacterium nucleatum has been correlated to many poor human conditions including oral infections, adverse pregnancies and cancer, and thus molecular tools capable of detecting this human pathogen can be used to develop diagnostic tests for them. Using a new selection method targeting thermally stable proteins without a counter-selection step, we derived an fluorogenic RNA-cleaving DNAzyme, named RFD-FN1, that can be activated by a thermally stable protein target that is unique to F. nucleatum subspecies. High thermal stability of protein targets is a very desirable attribute for DNAzyme-based biosensing directly with biological samples because nucleases found inherently in these samples can be heat-inactivated. We further demonstrate that RFD-FN1 can function as a fluorescent sensor in both human saliva and human stool samples. The discovery of RFD-FN1 paired with a highly thermal stable protein target presents opportunities for developing simpler diagnostic tests for this important pathogen.

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 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 score0.052
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.277
Teacher spread0.260 · 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.

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

Citations31
Published2023
Admission routes2
Has abstractyes

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