 |
 |
GEO help: Mouse over screen elements for information. |
|
| Status |
Public on Apr 22, 2021 |
| Title |
Developing RT-LAMP Assays for Detection of SARS-CoV-2 in Saliva |
| Organisms |
Homo sapiens; synthetic construct |
| Experiment type |
Other
|
| Summary |
Reverse transcription loop-mediated isothermal amplification (RT-LAMP) is a fast and convenient method to amplify and identify the transcripts of a targeted pathogen. We combined bioinformatic and experimental analyses to improve the RT-LAMP assay performance for COVID-19 diagnosis. First, we developed an improved algorithm to design LAMP primers targeting the nucleocapsid (N), membrane (M), and spike (S) genes of SARS-CoV-2. Next, we rigorously validated these new assays for their efficacy and specificity. Further, we demonstrated that multiplexed RT-LAMP assays could directly detect as low as a few copies of SARS-CoV-2 RNA in saliva, without the need of RNA isolation. Importantly, further testing using saliva samples from COVID-19 patients indicated that the new RT-LAMP assays were in total agreement in sensitivity and specificity with standard RT-qPCR. In summary, our new LAMP primer design algorithm along with the validated assays provide a fast and reliable method for the diagnosis of COVID-19 cases.
|
| |
|
| Overall design |
Validated RT-LAMP assays could directly detect SARS-CoV-2 RNA in saliva
|
| |
|
| Contributor(s) |
Wang X, Huang X, Tang G |
| Citation(s) |
34922321 |
| |
| Submission date |
Apr 22, 2021 |
| Last update date |
Jan 07, 2022 |
| Contact name |
Xiaowei Wang |
| Organization name |
University of Illinois at Chicago
|
| Street address |
909 S Wolcott Ave, Rm 5137
|
| City |
Chicago |
| State/province |
IL |
| ZIP/Postal code |
60612 |
| Country |
USA |
| |
|
| Platforms (2) |
| GPL22790 |
Illumina MiniSeq (Homo sapiens) |
| GPL26967 |
Illumina MiniSeq (synthetic construct) |
|
| Samples (2) |
|
| Relations |
| BioProject |
PRJNA723769 |
| SRA |
SRP315855 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE173086_Read_counts.txt.gz |
262.5 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
|
|
|
|
 |
