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Record W3128641117 · doi:10.1038/s41467-020-20639-6

A glucose meter interface for point-of-care gene circuit-based diagnostics

2021· article· en· W3128641117 on OpenAlex
Evan Amalfitano, Margot Karlikow, Masoud Norouzi, Katariina Jaenes, Seray Cicek, Fahim Masum, Peivand Sadat Mousavi, Yuxiu Guo, Laura Tang, Andrew M. Sydor, Duo Ma, Joel D. Pearson, Daniel Trcka, Mathieu Pinette, Aruna Ambagala, Shawn Babiuk, Bradley Pickering, Jeffrey L. Wrana, Rod Bremner, Tony Mazzulli, David Sinton, John H. Brumell, Alexander A. Green, Keith Pardee

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNature Communications · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsUniversity of ManitobaSinai Health SystemCanadian Food Inspection AgencyLunenfeld-Tanenbaum Research InstituteHospital for Sick ChildrenHydro One (Canada)SickKids FoundationUniversity of Toronto
FundersNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesNational Institute of General Medical SciencesInternational Development Research CentreNational Institutes of HealthCanada First Research Excellence FundUniversity of TorontoCanadian Food Inspection AgencyArizona Biomedical Research CommissionGordon and Betty Moore FoundationCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaBill and Melinda Gates Foundation
KeywordsPoint of careAnalyteComputer scienceMultiplexingInterface (matter)Molecular diagnosticsNanotechnologyComputational biologyChemistryBiologyBioinformaticsMaterials scienceMedicineTelecommunications

Abstract

fetched live from OpenAlex

Recent advances in cell-free synthetic biology have given rise to gene circuit-based sensors with the potential to provide decentralized and low-cost molecular diagnostics. However, it remains a challenge to deliver this sensing capacity into the hands of users in a practical manner. Here, we leverage the glucose meter, one of the most widely available point-of-care sensing devices, to serve as a universal reader for these decentralized diagnostics. We describe a molecular translator that can convert the activation of conventional gene circuit-based sensors into a glucose output that can be read by off-the-shelf glucose meters. We show the development of new glucogenic reporter systems, multiplexed reporter outputs and detection of nucleic acid targets down to the low attomolar range. Using this glucose-meter interface, we demonstrate the detection of a small-molecule analyte; sample-to-result diagnostics for typhoid, paratyphoid A/B; and show the potential for pandemic response with nucleic acid sensors for SARS-CoV-2.

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.

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)0.001
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: none
Teacher disagreement score0.558
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.327
Teacher spread0.310 · 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