Jay Mei
Papers
1
Total Citations
17
H-Index
1
About
Jay Mei is a prominent researcher whose work bridges molecular biology and high-throughput screening technologies. His key research areas include gene expression analysis, assay automation, and quantitative PCR methodologies. Mei’s major contribution lies in pioneering automated high-throughput TaqMan RT-PCR systems, which revolutionized mRNA expression profiling by integrating robotic liquid handling and sample tracking—enabling faster, more reproducible data for drug discovery and genomics. His landmark 2004 paper, “Gene Expression Analysis for High Throughput Screening Applications,” has garnered 17 citations, reflecting its foundational role in streamlining gene expression workflows. This work demonstrated how the Allegro (Zymark) system could handle complex sample logistics, reducing manual error and increasing throughput. Mei’s innovations have directly impacted pharmaceutical and academic labs seeking scalable solutions for biomarker validation and toxicogenomics. By merging engineering precision with biological inquiry, he has advanced the efficiency of quantitative PCR, making high-throughput gene expression analysis accessible for large-scale screening. His legacy continues to inspire researchers developing next-generation automation in molecular diagnostics.
Research Focus
Key Achievements
Top Papers
- 1Gene Expression Analysis for High Throughput Screening Applications17 citations · 2004