One-Pot Ligation LAMP Assay to Detect miRNA-222: A Glioma Biomarker

dc.contributor.advisorSpirito, Catherine
dc.contributor.authorAdane, Yedidya
dc.contributor.authorAnjum, Azkah
dc.contributor.authorBogusch, Alejandra
dc.contributor.authorFernandes, Catarina
dc.contributor.authorNaseem, Zoya
dc.contributor.authorPallavajjala, Roshni
dc.contributor.authorVempaty, Nitya
dc.date.accessioned2024-04-10T20:36:05Z
dc.date.available2024-04-10T20:36:05Z
dc.date.issued2024
dc.description.abstractModern day cancer diagnostic methods are invasive, time-consuming, expensive, and inaccessible to most. Delayed cancer diagnosis can lower patient survival rates. By designing a Ligation Loop-Mediated Isothermal Amplification (Ligation LAMP) assay, an alternative amplification method to PCR, we can detect miRNA-222: an established biomarker that is found in elevated levels in the bloodstream of early-stage glioma patients. Employing an experimental design, this study confirms that miRNA-222 elicits a detectable colorimetric and fluorescent output through the Ligation LAMP assay, demonstrating its specificity and sensitivity to our biomarker. We are currently working on implementing our assay into a one-pot system, using Thermally Responsive Alkane Partitions (TRAPs). This innovative approach may transform current diagnostic tools and thus increase glioma survival rates.
dc.identifierhttps://doi.org/10.13016/wrvh-c7yp
dc.identifier.urihttp://hdl.handle.net/1903/32412
dc.language.isoen
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.relation.isAvailableAtOffice of Undergraduate Research
dc.subjectFirst-Year Innovation and Research Experience (FIRE)
dc.subjectearly detection
dc.subjectLoop-Mediated Isothermal Amplification (LAMP)
dc.subjectglioma
dc.titleOne-Pot Ligation LAMP Assay to Detect miRNA-222: A Glioma Biomarker
dc.typeOther
local.equitableAccessSubmissionNo

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2024_URD_Adane_Yedidya.pdf
Size:
951.77 KB
Format:
Adobe Portable Document Format