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CQ

CRISPR QC

CRISPR QC Analytics Platform provides real-time quantitative insights into ribonucleoprotein (RNP) formation, DNA target binding kinetics, and cleavage activity to enhance the efficiency of CRISPR gene editing workflows. By enabling researchers to pre-screen gRNA efficiency and optimize RNP assembly, the platform reduces the time and costs associated with troubleshooting and iterative screening in gene editing experiments.

San Diego, United StatesFounded 2021172K+ followers
Updated 20 months ago

Funding

$11.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

CRISPR-Cas gene editing workflows often involve iterative screening and troubleshooting due to uncertainties in ribonucleoprotein (RNP) formation, DNA target binding, and cleavage activity. These inefficiencies lead to increased time, costs, and resource consumption in gene editing experiments.

Solution

CRISPR QC Analytics Platform offers real-time quantitative analysis of CRISPR-Cas biochemistry, enabling researchers to optimize key steps in their gene editing workflows. The platform utilizes a graphene-based biosensor chip to provide insights into RNP formation, DNA target binding kinetics, and cleavage activity. By directly measuring nucleic acid-protein interactions, the platform allows for pre-screening of gRNA efficiency, RNP assembly, and RNP stability, reducing the need for costly sequencing and screening confirmation experiments. The platform's insight solutions empower researchers to make data-driven decisions, accelerate breakthroughs, and maximize CRISPR efficiency.

Target Audience

The primary target audience includes researchers in genomic studies, sustainability research, and therapeutic development who utilize CRISPR-Cas gene editing techniques.

Features

  • Real-time kinetic measurements of RNP formation, DNA target binding, and cleavage activity
  • Graphene-based biosensor chip for quantitative _in vitro_ analysis
  • Insight solutions for optimizing gRNA selection, RNP assembly, and RNP stability
  • Ability to quantify binding of RNPs to amplicon and cleavage activity of target amplicons
  • Identification of the most effective gRNA and optimization of gRNA:Cas ratios
  • Determination of optimal buffer conditions for RNP formation and stability
  • Detection of gRNA lot-to-lot variability and Cas protein activity variations
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