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Record W4416356080 · doi:10.1021/acssensors.5c01191

Novel Near-Infrared Fluorescent Protein for Biliverdin Biosensing with a Hydrogel Scaffold

2025· article· en· W4416356080 on OpenAlexaff
Y Zhao, Benjamin Kim, Victor Mun-Sing Sit, Lidija Malic, Teodor Veres, Michael Z. Lin

Bibliographic record

VenueACS Sensors · 2025
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsMedical Council of CanadaNational Research Council CanadaUniversity of Toronto
FundersNational Science Foundation Graduate Research Fellowship ProgramSchool of Medicine, Stanford UniversityNational Institutes of Health
KeywordsBiliverdinFluorescenceFluorescent proteinGreen fluorescent proteinEnzymeBiosensorBiliverdin reductaseProtein engineeringProtein design

Abstract

fetched live from OpenAlex

We report the first infrared fluorescent protein engineered from a bilin reductase scaffold. Unlike existing near-infrared fluorescent proteins, which are derived from photoreceptor domains, our design is based on phycocyanobilin:ferredoxin oxidoreductase (PcyA), an enzyme that normally catalyzes the reduction of biliverdin (BV) to phycocyanobilin. By disabling its catalytic activity and remodeling its chromophore-binding pocket, we repurposed PcyA to stably accommodate BV as a fluorescent chromophore, generating a BV reporter with infrared output (BRIO). Finally, we demonstrated that hydrogel-encapsulated BRIO-expressing cells can serve as an inexpensive and robust platform for BV detection in biological samples. This work expands the landscape of fluorescent protein design beyond photoreceptors, demonstrating that metabolic enzymes can be reprogrammed into bright fluorescent reporters.

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 score0.015
Threshold uncertainty score0.539

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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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