A Laboratory Information Management System for High-Throughput Experimental Lipidomics: Minimal Information Required for the Analysis of Lipidomics Experiments (MIALE)

Sequencing of the human genome has opened the way and provided the impetus for building a comprehensive picture of a mammalian cell. Significant efforts are underway in the fields of genomics and proteomics to identify all genes and proteins in a given organism. The goal is a complete map of the genes, gene products, and their interaction networks in a functioning cell. The next step in establishing a comprehensive picture of a cell will be to integrate the cell's metabolome with the rapidly developing genomic and proteomic maps. A cell's metabolome, however, is such an enormous and complex entity that characterizing it can only be approached in sections. Our group of laboratories, the LIPID MAPS consortium, has focused on the lipid section of the metabolome. We have implemented a Lipid Metabolites and Pathways Strategy, termed LIPID MAPS, that applies a global integrated approach to the study of lipidomics in cells and tissues. This paper describes key aspects of the design, implementation, and accessibility features of a Laboratory Information Management System (LIMS) which serves the LIPID MAPS consortium. This software serves as a model system for integrating experimental information obtained by laboratories participating in metabolomics studies. (JALA 2007;12:230–8)