New CRISPR-based test for COVID-19 uses a smartphone camera

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Title : New CRISPR-based test for COVID-19 uses a smartphone camera
Link : New CRISPR-based test for COVID-19 uses a smartphone camera

In a new study published in the scientific journal Cell, the team from Gladstone, UC Berkeley, and UCSF has outlined the technology for a CRISPR-based test for COVID-19 that uses a smartphone camera to provide accurate results in under 30 minutes.

The technique was designed in collaboration with UC Berkeley bioengineer Daniel Fletcher, Ph.D., as well as Jennifer Doudna, Ph.D., who is a senior investigator at Gladstone, a professor at UC Berkeley, president of the Innovative Genomics Institute, and an investigator of the Howard Hughes Medical Institute. Doudna recently won the 2020 Nobel Prize in Chemistry for co-discovering CRISPR-Cas genome editing, the technology that underlies this work.

Not only can their new diagnostic test generate a positive or negative result, it also measures the viral load (or the concentration of SARS-CoV-2, the virus that causes COVID-19) in a given sample.

"When coupled with repeated testing, measuring viral load could help determine whether an infection is increasing or decreasing," says Fletcher, who is also a Chan Zuckerberg Biohub Investigator. "Monitoring the course of a patient's infection could help health care professionals estimate the stage of infection and predict, in real time, how long is likely needed for recovery." (Read More)