Skip to content
CRISPR-Based SHERLOCK Platform Detects Viruses with Attomolar Sensitivity

Photo via Pexels

Discovery

Curated by Surfaced Editorial·Technology·2 min read
Share:

Researchers at the Broad Institute, led by Feng Zhang, developed SHERLOCK (Specific High-sensitivity Enzymatic Reporter unLOCKing), a CRISPR-based diagnostic platform capable of detecting specific RNA or DNA sequences with extreme precision. They successfully demonstrated its ability to identify Zika and Dengue viruses with sensitivity reaching 2 attomolar (10^-18 M) and differentiate between closely related viral strains. The methodology involves Cas13 or Cas12 enzymes, which, upon binding to a target nucleic acid, become activated and cleave nearby reporter molecules, generating a fluorescent signal. This innovative approach allows for rapid, portable, and highly sensitive diagnostics without the need for complex laboratory equipment. The initial research was published in *Science* in 2017.

Why It’s Fascinating

This discovery is groundbreaking because it moves CRISPR technology beyond gene editing into a powerful diagnostic tool, surprising experts with its remarkable sensitivity and specificity. It confirms the versatility of CRISPR enzymes, demonstrating their potential for tasks far beyond DNA cutting. Within 5-10 years, SHERLOCK could revolutionize global health by enabling rapid, on-site detection of infectious diseases, agricultural pathogens, and even cancer biomarkers in low-resource settings. Think of it as a biological 'metal detector' that can find a single invisible 'coin' (viral particle) in a vast field, making it accessible to anyone. This technology benefits clinicians, public health officials, and everyday people by enabling faster, more accurate diagnoses. How will this impact our ability to contain future pandemics? This technology offers a significant advantage over traditional PCR-based methods due to its simplicity and speed.

Enjoyed this? Get five picks like this every morning.

Free daily newsletter — zero spam, unsubscribe anytime.