OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Ugandan healers near Rwenzori Mountains use 95 plants as medicine
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
OpenAlex:
Understanding the control of perpetual flowering and cont...
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
Target-to-signal conversion and spatial enrichment cascade boost CRISPR/Cas12a biosensing for trace-level pathogen detection.
PubMed · 2026-05-28
Scientists developed a two-stage molecular detection system that dramatically amplifies weak signals from pathogens, making CRISPR-based diagnostic tools sensitive enough to detect disease-causing organisms at trace levels.
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A dual-stage cascade system (target-to-signal conversion + spatial enrichment) was engineered to amplify CRISPR/Cas12a detection sensitivity to trace levels.
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The approach enables detection of pathogens at concentrations far below what standard CRISPR biosensors can achieve, though specific numerical limits of detection were not provided in the abstract.
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Spatial enrichment of signals—concentrating them in one location—was identified as a key innovation boosting overall biosensor performance.