数据库名称：MeKO
数据库简述：Metabolomic Characterization of Knock-Out Mutants in Arabidopsis – Development of a Metabolite Profiling Database for Knock-Out Mutants in Arabidopsis
所属国家/地区：Japan
数据库主要信息：Despite recent intensive research efforts in functional genomics, the functions of only a limited number of Arabidopsis (Arabidopsis thaliana) genes have been determined experimentally and improving gene annotation remains a major challenge in plant science. As metabolite profiling can characterize the metabolomic phenotype of a genetic perturbation in the plant metabolism, it provides clues to the function(s) of genes of interest. We chose 50 Arabidopsis mutants including a set of characterized and uncharacterized mutants, that resemble wild-type plants. We performed metabolite profiling of the plants using gas chromatography?mass spectrometry (GC-MS). To make the dataset available as an efficient public functional genomics tool for hypothesis generation, we developed our MeKO database. It allows evaluation of whether a mutation affects metabolism during normal plant growth and contains images of mutants, data on differences in metabolite accumulation, and interactive analysis tools. Non-processed data, including chromatograms, mass spectra, and experimental metadata, follow the guidelines set by Metabolomics Standards Initiative (MSI) and are freely downloadable. Proof-of-concept analysis suggests that the MeKO database is highly useful for the generation of hypotheses for genes of interest and for improving gene annotation.
建立年份：2014
联系信息：Contact information
University/Institution:
Chiba University
Address:
Graduate School of Pharmaceutical Sciences, Chiba University, Chiba-shi, Chiba 263-8522, Japan
City:
Province/State:
Country/Region:
Japan
Contact name (PI/Team):
Saito K
Contact email (PI/Helpdesk):
kazuki.saito@riken.jp.
