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Record W2332851598 · doi:10.1021/ja2083569

Porphyrin FRET Acceptors for Apoptosis Induction and Monitoring

2011· article· en· W2332851598 on OpenAlex

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.

Bibliographic record

VenueJournal of the American Chemical Society · 2011
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsFörster resonance energy transferChemistryFluorophorePhotodynamic therapyPorphyrinPhotochemistrySinglet oxygenAcceptorFluorescenceRhodamineEnergy transferBiophysicsOxygenOrganic chemistry

Abstract

fetched live from OpenAlex

Photodynamic therapy (PDT) stands to benefit from improved approaches to real-time treatment monitoring. One method is to use activatable photosensitizers that can both induce cell death (via singlet oxygen) and monitor it (via caspase detection). Here, we report porphyrins as caspase-responsive Forster Resonance Energy Transfer (FRET) acceptors to organic fluorophore donors. Compared to porphyrin FRET donor constructs, singlet oxygen generation was unquenched prior to caspase activation, resulting in more efficient photosensitization in HT-29 cancer cells. The donor 5-Carboxy-X-Rhodamine (Rox) formed a robust FRET pair with the pyropheophorbide (Pyro) acceptor. The large dynamic range of the construct enabled ratiometric imaging (with Rox excitation) of caspase activation in live, single cells following induction of cell death (with Pyro excitation) using a single agent. Quantitative, unquenched activatable photosensitizers (QUaPS) hold potential for new feedback-oriented PDT approaches.

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)0.000
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 score0.046
Threshold uncertainty score0.203

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 head0.040
GPT teacher head0.325
Teacher spread0.285 · 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