RPB0407

Pathogen Description

Target Pathogen Pathogen Name NCBI Taxonomy ID Order Family Genus Species Pathogen type
SARS-CoV-2 SARS-CoV-2, 2019-nCoV, COVID-19, COVID-19 virus, SARS2, Wuhan coronavirus, Human coronavirus 2019, COVID19, HCoV-19, SARS-2, SARS-CoV4 2697049 Nidovirales Coronaviridae Betacoronavirus Severe acute respiratory syndrome-related coronavirus virus

Primer Description

Primer Name Sequence(5'-3') Length(bp) Primer Final Concentration(μM) GC Content(%) Predicted Melting Temperature(℃) Molecular Weight(g/moles) Positions in GenBank accession number
ORF1ab-F GAAATTAATACGACTCACTATAGGGCGAAGTTGTAGGAGACATTATACTTAAACC 55 10 μM 36.36 63 16998.14 \
ORF1ab-R TAGTAAGACTAGAATTGTCTACATAAGCAGC 31 20 uM 35.48 54.98 9551.3 \

Gene Description

Target Gene GenBank ID
ORF1ab \

Assay Description

Application Assay Primer Designing Software Reaction Time(min) Assay Temperature(℃) Readout System(s) Limit of Detection(LoD) Sensitivity(%) Specificity(%)
a specific, sensitive, and rapid one-pot SHERLOCK assay for SARS-CoV-2 detection. RT, RPA, T7, and CRISPR\Cas13a \ 20 min 37 °C CRISPR\Cas13a 100 cp/μL \ \

Publication Description

Year of Publication Title Author(s) Journal PMID DOI
2023 Strategies to Improve Multi-enzyme Compatibility and Coordination in One-Pot SHERLOCK Hongzhao Li,Dominic M S Kielich,Guodong Liu,Greg Smith,Alexander Bello,James E Strong,Bradley S Pickering Analytical Chemistry 37390127 10.1021/acs.analchem.2c05032

Strategies to Improve Multi-enzyme Compatibility and Coordination in One-Pot SHERLOCK

Author(s):

Hongzhao Li,Dominic M S Kielich,Guodong Liu,Greg Smith,Alexander Bello,James E Strong,Bradley S Pickering

Journal:

Analytical Chemistry

Year:

2023

Abstract:

While molecular diagnostics generally require heating elements that supply high temperatures such as 95 °C in polymerase chain reaction and 60-69 °C in loop-mediated isothermal amplification, the recently developed CRISPR-based SHERLOCK (specific high-sensitivity enzymatic reporter unlocking) platform can operate at 37 °C or a similar ambient temperature. This unique advantage may be translated into highly energy-efficient or equipment-free molecular diagnostic systems with unrestricted deployability. SHERLOCK is characterized by ultra-high sensitivity when performed in a traditional two-step format. For RNA sensing, the first step combines reverse transcription with recombinase polymerase amplification, while the second step consists of T7 transcription and CRISPR-Cas13a detection. The sensitivity drops dramatically, however, when all these components are combined into a single reaction mixture, and it largely remains an unmet need in the field to establish a high-performance one-pot SHERLOCK assay. An underlying challenge, conceivably, is the extremely complex nature of a one-pot formulation, crowding a large number of reaction types using at least eight enzymes/proteins. Although previous work has made substantial improvements by serving individual enzymes/reactions with accommodating conditions, we reason that the interactions among different enzymatic reactions could be another layer of complicating factors. In this study, we seek optimization strategies by which inter-enzymatic interference may be eliminated or reduced and cooperation created or enhanced. Several such strategies are identified for SARS-CoV-2 detection, each leading to a significantly improved reaction profile with faster and stronger signal amplification. Designed based on common molecular biology principles, these strategies are expected to be customizable and generalizable with various buffer conditions or pathogen types, thus holding broad applicability for integration into future development of one-pot diagnostics in the form of a highly coordinated multi-enzyme reaction system.