CoLAMP: CRISPR-based one-pot loop-mediated isothermal amplification enables at-home diagnosis of SARS-CoV-2 RNA with nearly eliminated contamination utilizing amplicons depletion strategy.

Rapid point-of-care diagnostics, essential in settings such as airport on-site testing and home-based screening, displayed important implications for infectious disease control during the SARS-CoV-2 outbreak. However, the deployment of simple and sensitive assays in real-life scenarios still faces the concern of aerosol contamination. Here, we report an amplicon-depleting CRISPR-based one-pot loop-mediated isothermal amplification (CoLAMP) assay for point-of-care diagnosis of SARS-CoV-2 RNA. In this work, AapCas12b sgRNA is designed to recognize the activator sequence sited in the loop region of the LAMP product, which is crucial for exponential amplification. By destroying the aerosol-prone amplifiable products at the end of each amplification reaction, our design can significantly reduce the amplicons contamination that causes false positive results in point-of-care diagnostics. For at-home self-testing, we designed a low-cost sample-to-result device for fluorescence-based visual interpretation. As well, a commercial portable electrochemical platform was deployed as a proof-of-concept of ready-to-use point-of-care diagnostic systems. The field deployable CoLAMP assay can detect as low as 0.5 copies/µL of SARS-CoV-2 RNA in clinical nasopharyngeal swab samples within 40 min without the need for specialists for its operation.

Prediction of Aptamer-Small-Molecule Interactions Using Metastable States from Multiple Independent Molecular Dynamics Simulations.

Understanding aptamer-ligand interactions is necessary to rationally design aptamer-based systems. Commonly used in silico tools have proven to be accurate to predict RNA and DNA oligonucleotide tertiary structures. However, given the complexity of nucleic acids, the most thermodynamically stable conformation is not necessarily the one with the highest affinity for a specific ligand. Because many metastable states may coexist, it remains challenging to predict binding sites through molecular docking simulations using available computational pipelines. In this study, we used independent simulations to broaden the conformational diversity sampled from DNA initial models of distinct stability and assessed the binding affinity of selected metastable representative structures. In our results, utilizing multiple metastable conformations for molecular docking analysis helped identify structures favorable for ligand binding and accurately predict the binding sites. Our workflow was able to correctly identify the binding sites of the characterized adenosine monophosphate and l-argininamide aptamers. Additionally, we demonstrated that our pipeline can be used to aid the design of competition assays that are conducive to aptasensing strategies using an uncharacterized aflatoxin B1 aptamer. We foresee that this approach may help rationally design effective and truncated aptamer sequences interacting with protein biomarkers or small molecules of interest for drug design and sensor applications.