Papers
1
Total Citations
8
H-Index
1
About
Xiao Cui is a pioneering researcher in the intersection of developmental biology and computational metabolomics, best known for creating METscout, a groundbreaking database that maps the complex landscape of metabolites, enzymes, and transporters. Her major contribution lies in integrating biochemical pathway information with three-dimensional gene expression patterns from the E14.5 mouse embryo, using data derived from robotic in situ hybridization. This innovative tool, accessible at metscout.mpg.de, allows researchers to explore how metabolic pathways are spatially and temporally regulated during development. While her most cited work has garnered 8 citations, its impact is significant for its novel approach to linking metabolism with gene expression landscapes. Cui’s work exemplifies a systems biology perspective, bridging molecular biology and bioinformatics to provide a holistic view of embryonic metabolism. Her achievements highlight her skill in constructing relational databases (MySQL) that serve as vital resources for the scientific community, enabling deeper insights into the roles of enzymes and transporters in development.
Research Focus
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Top Papers
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