CRISPR-induced DNA reorganization for multiplexed nucleic acid detection.

Nucleic acid sensing powered by the sequence recognition of CRIPSR technologies has enabled major advancement toward rapid, accurate and deployable diagnostics. While exciting, there are still many challenges facing their practical implementation, such as the widespread need for a PAM sequence in the targeted nucleic acid, labile RNA inputs, and limited multiplexing. Here we report FACT (Functionalized Amplification CRISPR Tracing), a CRISPR-based nucleic acid barcoding technology compatible with Cas12a and Cas13a, enabling diagnostic outputs based on cis- and trans-cleavage from any sequence.

Toward Mail-in-Sensors for SARS-CoV-2 Detection: Interfacing Gel Switch Resonators with Cell-Free Toehold Switches.

The COVID-19 pandemic has emphasized the importance of widespread testing to control the spread of infectious diseases. The rapid development, scale-up, and deployment of viral and antibody detection methods since the beginning of the pandemic have greatly increased testing capacity. Desirable attributes of detection methods are low product costs, self-administered protocols, and the ability to be mailed in sealed envelopes for the safe analysis and subsequent logging to public health databases.

A multiplexed, electrochemical interface for gene-circuit-based sensors.

The field of synthetic biology has used the engineered assembly of synthetic gene networks to create a wide range of functions in biological systems. To date, gene-circuit-based sensors have primarily used optical proteins (for example, fluorescent, colorimetric) as reporter outputs, which has limited the potential to measure multiple distinct signals. Here we present an electrochemical interface that permits expanded multiplexed reporting for cell-free gene-circuit-based sensors.

Predictive Modeling of a Batch Filter Mating Process.

Quantitative characterizations of horizontal gene transfer are needed to accurately describe gene transfer processes in natural and engineered systems. A number of approaches to the quantitative description of plasmid conjugation have appeared in the literature. In this study, we seek to extend that work, motivated by the question of whether a mathematical model can accurately predict growth and conjugation dynamics in a batch process.