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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/1773| Rapid, field-deployable nucleobase detection and identification using FnCas9 | |
| Azhar Mohd.. Phutela Rhythm. Ansari Asgar Hussain. Sinha Dipanjali. Sharma Namrata. Kumar Manoj. Aich Meghali. Sharma Saumya. Singhal Khushboo. Lad Harsha. Patra Pradeep. Makharia Govind. Chandak Giriraj Ratan. Chakraborty Debojyoti. Maiti Souvik. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.1101/2020.04.07.028167 | |
| Detection of pathogenic sequences or variants in DNA and RNA through a point-of-care diagnostic approach is valuable for rapid clinical prognosis. In recent times, CRISPR based detection of nucleic acids has provided an economical and quicker alternative to sequencing-based platforms which are often difficult to implement in the field. Here, we present FnCas9 Editor Linked Uniform Detection Assay (FELUDA) that employs a highly accurate enzymatic readout for detecting nucleotide sequences, identifying nucleobase identity and inferring zygosity with precision. We demonstrate that FELUDA output can be adapted to multiple signal detection platforms and can be quickly designed and deployed for versatile applications including rapid diagnosis during infectious disease outbreaks like COVID-19. | |
| www.biorxiv.org | |
| 2020 | |
| Artículo | |
| https://www.biorxiv.org/content/biorxiv/early/2020/04/09/2020.04.07.028167.full.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| 1100044.pdf | 39.68 MB | Adobe PDF | Visualizar/Abrir |