Publications by authors named "Nekesa C Oliver"
Large-scale plasma proteomics studies have been transformed due to the multiplexing and automation of sample preparation workflows. However, these workflows can suffer from reproducibility issues, a lack of standardized quality control (QC) metrics, and the assessment of variation before liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The incorporation of robust QC metrics in sample preparation workflows ensures better reproducibility, lower assay variation, and better-informed decisions for troubleshooting.
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- - Proteomics research has evolved significantly due to advancements in high-throughput LC-MS/MS technology and automated workflows, enabling the analysis of large sample sizes but necessitating effective quality control (QC) measures for reliable results.
- - A study analyzed 335 patient plasma samples using TMT 16-plex methods over 10 months, with 271 pooled QC results generated from a representative plasma sample to monitor instrument performance and normalize data across batches.
- - Key metrics were assessed to develop a robust LC-MS/MS QC workflow, providing guidelines for ongoing QC checks and real-time troubleshooting to optimize instrument performance and enhance data reliability in future studies.
The vascular endothelial growth factor (VEGF) family of genes has been implicated in the clinical development of Alzheimer's Disease (AD). A previous study identified associations between gene expression of VEGF family members in the prefrontal cortex and cognitive performance and AD pathology. This study explored if those associations were also observed in the blood.
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