Manci Li

AI-QuIC automates RT-QuIC assay analysis for misfolded protein detection, achieving high sensitivity and specificity using deep learning on a large prion dataset.

This study demonstrates that CWD prions can contaminate processing surfaces and be transferred to CWD-negative venison, but can be inactivated using bleach and potassium peroxymonosulfate.

QuICSeedR automates F-SAA data analysis, improving consistency and reproducibility across labs.

The paper investigates how high neuropeptide-producing neurons contribute to Alzheimer's disease vulnerability by analyzing transcriptomic changes and their distribution in affected brain regions.

This paper introduces Nano-QuIC, a method that improves the detection of misfolded α-synuclein in blood samples from Parkinson's patients compared to traditional RT-QuIC.

This study uses single-cell and bulk transcriptomic data to show widespread disruption of neuropeptide networks in Alzheimer's disease entorhinal cortex, with decreased NP expression and increased GPCR expression.

This study establishes a standardized method using maxpoint ratios (MPR) to improve consistency in RT-QuIC analysis for detecting chronic wasting disease.

The paper develops a field-deployable diagnostic assay, MN-QuIC, for visual detection of misfolded prions in CWD-infected deer, showing 100% consistency with established tests.

This study uses RT-QuIC to detect CWD prion seeding activity in skeletal muscles of infected white-tailed deer, finding prions in consumption-relevant tissues and highlighting their broader distribution.