ArticleMicrobiology spectrum2025
High-resolution melting curve FRET-qPCR rapidly distinguishes
Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- IRAK-M Knockout Exacerbates Inflammation in Mice Infected withMicroorganisms · 2026Article
- Septic arthritis caused byASM case reports · 2026Article
- Innovations, Applications, and Future Trends in Veterinary Diagnostic Technologies.Transboundary and emerging diseases · 2026Review
- Dual-Emission FRET-PCR Outperforms SYBR Green and EvaGreen for Accurate Discrimination of Primary Canine Dermatophytes:Journal of fungi (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed a fluorescence resonance energy transfer (FRET)-based real-time PCR (qPCR) assay coupled with high-resolution melting (HRM) analysis to differentiate IMPORTANCE: Accurately identifying the cause of respiratory infections in horses is essential for proper treatment and preventing outbreaks. This study introduces a rapid and reliable test that distinguishes between
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.