From genes to systems: new global strategies for the characterization of NCL biology.
Neuronal ceroid lipofuscinoses (NCL) are rare neurological disorders with a uniform phenotype, caused by mutations in seven known genes. NCL provide a unique model to characterize molecular pathways critical for normal neuronal development and pathological neuronal degeneration. Systems biology based approach utilizes the rapidly developing tools of genomics, proteomics, lipidomics and metabolomics and aims at thorough understanding of the functions of cells, tissues and whole organisms by molecular analysis and biocomputing-assisted modeling. The systems level understanding of NCL is now possible by utilizing different model organisms. Initial work has revealed disturbed metabolic pathways in several NCL disorders and most analyses have utilized the infantile (INCL/CLN1) and juvenile (JNCL/CLN3) disease modeling and utilized mainly human and mouse samples. To date, the data obtained from transcript and lipidomic profiling has pinpointed the role of lipid metabolism and synaptic function in the infantile NCL. Changes in glutamate utilization and amino acid metabolism have been a common theme emerging from the transcript and metabolite profiling of the juvenile NCL. Further experimental models are being developed and systematic sample collection as well as data integration projects are needed. The combined analyses of the global information should provide means to expose all the NCL-associated molecular pathways.
Jalanko
Anu
A
National Public Health Institute, Department of Molecular Medicine, Biomedicum Helsinki, Helsinki, Finland. Anu.Jalanko@ktl.fi
Tyynelä
Jaana
J
Peltonen
Leena
L
D000818:Animals; D030541:Databases, Genetic; D004195:Disease Models, Animal; D020022:Genetic Predisposition to Disease; D006801:Humans; D050356:Lipid Metabolism; D051379:Mice; D008954:Models, Biological; D009154:Mutation; D009472:Neuronal Ceroid-Lipofuscinoses / Q000235:genetics*; D009474:Neurons / Q000502:physiology; D020411:Oligonucleotide Array Sequence Analysis; D040901:Proteomics; D034622:RNA Interference; D013223:Statistics as Topic