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Record W3105692689 · doi:10.1002/anie.202012444

Selection and Characterization of an RNA‐Cleaving DNAzyme Activated by <i>Legionella pneumophila</i>

2020· article· en· W3105692689 on OpenAlexafffund
Meghan Rothenbroker, Erin M. McConnell, Jason Gu, Malene L. Urbanus, Sahar Esmaeili Samani, Alex W. Ensminger, Carlos D. M. Filipe, Yingfu Li

Bibliographic record

VenueAngewandte Chemie International Edition · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsUniversity of TorontoMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDeoxyribozymeLegionella pneumophilaChemistryRNASelection (genetic algorithm)LegionellaMicrobiologyBiochemistryBiologyDNAGeneticsGeneBacteriaComputer science

Abstract

fetched live from OpenAlex

Legionella pneumophila is a deadly bacterial pathogen that has caused numerous Legionnaires' disease outbreaks, where cooling towers were the most common source of exposure. Bacterial culturing is used for L. pneumophila detection, but this method takes approximately 10 days to complete. In this work, an RNA-cleaving fluorogenic DNAzyme, named LP1, was isolated. Extensive characterization revealed that LP1 is reactive with multiple infectious isolates of L. pneumophila but inactive with 25 other common bacterial species. LP1 is likely activated by a protein target, capable of generating a detectable signal in the presence of as few as 10 colony-forming units of L. pneumophila, and able to maintain its activity in cooling tower water from diverse sources. Given that similar DNAzymes have been incorporated into many sensitive assays for bacterial detection, LP1 holds the potential for the development of biosensors for monitoring the contamination of L. pneumophila in exposure sources.

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 score0.009
Threshold uncertainty score0.446

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 head0.012
GPT teacher head0.249
Teacher spread0.237 · 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

Citations59
Published2020
Admission routes2
Has abstractyes

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