Publication: Improving gonorrhoea molecular diagnostics: Genome mining-based identification of identical multi-repeat sequences (IMRS) in Neisseria gonorrhoeae
dc.contributor.author | Shiluli, Clement | |
dc.contributor.author | Kamath, Shwetha | |
dc.contributor.author | Kanoi, Bernard N. | |
dc.contributor.author | Klapperich, Catherine M. | |
dc.contributor.author | Lolabattu, Srinivasa Raju | |
dc.contributor.author | Gitaka, Jesse | |
dc.contributor.author | Gitaka, Jesse | |
dc.date.accessioned | 2024-08-26T12:26:41Z | |
dc.date.available | 2024-08-26T12:26:41Z | |
dc.date.issued | 2024-03-06 | |
dc.description.abstract | Background: Curable sexually transmitted infections (STIs), such as Neisseria gonorrhoeae (N. gonorrhoeae), are a major cause of poor pregnancy outcomes. The infection is often asymp- tomatic in pregnant women, and a syndrome-based approach of testing leads to a missed diag- nosis. Culture followed by microscopy is inadequate and time-consuming. The gold standard nucleic acid amplification tests require advanced infrastructure settings, whereas point-of-care tests are limited to immunoassays with sensitivities and specificities insufficient to accurately diagnose asymptomatic cases. This necessitates the development and validation of assays that are fit for purpose. Methods: We identified new diagnostic target biomarker regions for N. gonorrhoeae using an al- gorithm for genome mining of identical multi-repeat sequences (IMRS). These were then devel- oped as DNA amplification primers to design better diagnostic assays. To test the primer pair, genomic DNA was 10-fold serially diluted (100 pg/μL to 1 × 10 | |
dc.identifier.uri | https://doi.org/10.1016/j.heliyon.2024.e27344 | |
dc.identifier.uri | https://erepository.mku.ac.ke/handle/123456789/6352 | |
dc.language.iso | en | |
dc.publisher | Heliyon 10 | |
dc.title | Improving gonorrhoea molecular diagnostics: Genome mining-based identification of identical multi-repeat sequences (IMRS) in Neisseria gonorrhoeae | |
dc.type | Article | |
dspace.entity.type | Publication |