Time-Resolved Förster Resonance Energy Transfer Nanoassay Based on CdTe Quantum Dots for Sensitive Detection of Prostate Cancer Antigen 3
Bibliographic record
Abstract
Prostate Cancer Antigen 3 (PCA3) is a long noncoding RNA highly expressed in prostate cancer cells, making it a promising biomarker for noninvasive prostate cancer diagnosis. Simple and rapid detection using nanoprobes can potentially overcome the limitations of traditional diagnostic techniques. Here, we designed, characterized, and applied a DNA-strand displacement assay based on Förster Resonance Energy Transfer (FRET) between terbium (Tb) ions and semiconductor quantum dots (QDs) as a proof-of-concept for sensitive and specific mix-and-measure quantification of a synthetic DNA analogue of PCA3. The assay utilized QDs synthesized through an aqueous one-pot method. The time-resolved (TR) FRET assays achieved a detection limit of 0.65 nmol L –1 by using a SPARK benchtop fluorescence plate reader and 0.32 nmol L –1 by using a KRYPTOR Compact PLUS clinical plate reader. Despite slightly decreased performance, the TR-FRET nanoassay demonstrated reliable quantification of nanomolar PCA3 concentrations also in samples containing up to 50% of serum. These findings underscore the potential of Tb-to-QD FRET assays for rapid clinical prostate cancer diagnostics, offering a promising tool for the early detection of PCA3 in a noninvasive manner.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".