Psychiatric disorders biomarker identification: From proteomics to systems biology

Pharmacopsychiatry

Volumn 41, Issue SUPPL. 1, 2008, Pages

  Reckow, S ^a   Gormanns, P ^a   Holsboer, F ^a   Turck, C W ^a  

^a MAX PLANCK INSTITUTE OF PSYCHIATRY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; PROTEIN; PROTEOME;

DIAGNOSTIC ACCURACY; DRUG DESIGN; HIGH THROUGHPUT SCREENING; HUMAN; MENTAL DISEASE; MOOD DISORDER; NONHUMAN; PATHOPHYSIOLOGY; PRIORITY JOURNAL; PROTEOMICS; PSYCHIATRY; REVIEW; SYSTEMS BIOLOGY;

ANIMALS; BIOLOGICAL MARKERS; HUMANS; MENTAL DISORDERS; PROTEOMICS; SYSTEMS BIOLOGY;

EID: 54749149764     PISSN: 01763679     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-2008-1081483     Document Type: Review

References (30)

1. Anderson NL, Anderson NG. Proteome and proteomics: New technologies, new concepts, and new words. Electrophoresis 1998; 19 (11): 1853-1861
2. Bender W, Albus M, Möller HJ, Tretter F. Towards systemic theories in biological psychiatry. Pharmacopsychiatry 2006; 39 (Suppl 1): S4-S9
3. Bressa GM. S-adenosyl-l-methionine (SAMe) as antidepressant: Meta-analysis of clinical studies. Acta Neurol Scand Suppl 1994; 154: 7-14
4. Chen F, Wollmer MA, Hoerndli F, Munch G, Kuhla B, Rogaev EI et al. Role for glyoxalase I in Alzheimer's disease. Proc Natl Acad Sci USA 2004; 101 (20): 7687-7692
5. Carlsson A. The neurochemical circuitry of schizophrenia. Pharmacopsychiatry 2006; 39 (Suppl 1): S10-S14
6. Ditzen C, Jastorff AM, Kessler MS, Bunck M, Teplytska L, Erhardt A et al. Protein biomarkers in a mouse model of extremes in trait anxiety. Mol Cell Proteomics 2006; 5 (10): 1914-1920
7. Gross C, Hen R. The developmental origins of anxiety. Nat Rev Neurosci 2004; 5 (7): 545-552
8. Hegde AN, DiAntonio A. Ubiquitin and the synapse. Nat Rev Neurosci 2002; 3 (11): 854-861
9. Holland JH. Adaptation in natural and artificial systems 1st ed. Ann Arbor (MI): The University of Michigan Press 1975
10. Hyman SE. Can neuroscience be integrated into the DSM-V? Nat Rev Neurosci 2007; 8 (9): 725-732
11. Insel TR. From animal models to model animals. Biol Psychiatry 2007; 62 (12): 1337-1339
12. Junaid MA, Kowal D, Barua M, Pullarkat PS, Sklower Brooks S, Pullarkat RK. Proteomic studies identified a single nucleotide polymorphism in glyoxalase I as autism susceptibility factor. Am J Med Genet A 2004; 131 (1): 11-17
13. Kanehisa M. KEGG: From genes to biochemical pathways. In: Letovsky SI, editor. Bioinfornatics: Databases and Systems. Norwell (MA): Kluwer Academic Publishers 1999; 63-76
14. Kim SY, Volsky DJ. PAGE: parametric analysis of gene set enrichment. BMC Bioinformatics 2005; 6: 144
15. Kitano H. Computational systems biology. Nature 2002; 420 (6912): 206-210
16. Krömer SA, Kesser MS, Milfay D, Birg IN, Bunck M, Czibere L et al. Identification of glyoxalase-I as a protein marker in a mouse model of extremes in trait anxiety. J Neurosci 2005; 25 (17): 4375-4384
17. Ma Y, Peng Y. Co-expression Gene Discovery from Microarray for Integrative Systems Biology. In: Li X, Zaiane OR, Li Z editors. Advanced Data Mining and Applications 2006: 2nd International Conference. ADMA; 2006 August 14-16; Xian, China. Heidelberg: Springer-Verlag 2006; 809-818
18. MacCoss MJ, Wu CC, Matthews DE, Yates 3rd JR. Measurement of the isotope enrichment of stablel isotope-labeled proteins using high-resolution mass spectra of peptides. Anal Chem 2005; 77 (23): 7646-7653
19. Mill J, Petronis A. Molecular studies of major depressive disorder: the epigenetic perspective. Mol Psychiatry 2007; 12 (9): 799-814
20. Mootha VK, Lepage P, Miller K, Bunkenborg J, Reich M, Hjerrild M et al. Identification of a gene causing human cytochrome c oxidase deficiency by integrative genomics. Proc Natl Acad Sci USA 2003; 100 (2): 605-610
21. Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet 2003; 34 (3): 267-273
22. Ong SE, Mann M. Mass spectrometry-based proteornics turns quantitative. Nat Chem Biol 2005; 1 (5): 252-262
23. Saxena V, Orgill D, Kohane I. Absolute enrichment: gene set enrichment analysis for homeostatic systems. Nucleic Acids Res 2006; 34 (22): e151
24. Schlösser RGM, Koch K, Wagner G. Assessing the state space of the brain with fMRI: an integrative view of current methods. Pharmacopsychiatry 2007; 40 (Suppl 1): S85-S92
25. Sheeley DM, Breen JJ, Old SE. Building integrated approaches for the proteomics of complex, dynamic systems: NIH programs in technology and infrastructure development J Proteome Res 2005; 4 (4): 1114-1122
26. Silveri MM, Parow AM, Villafuerte RA, Damico KE, Goren J, Stoll AL et al. S-adenosyl-L-methionine: effects on brain bioenergetic status and transverse relaxation time in healthy subjects. Biol Psychiatry 2003; 54 (8): 833-839
27. Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 2005; 102 (43): 15545-15550
28. Tanna VL, Wilson AF, Winokur G, Elston RC. Linkage analysis of pure depressive disease. J Psychiatr Res 1989; 23 (2): 99-107
29. The Gene Ontology Consortium. The Gene Ontology project in 2008. Nucleic Acids Res 2008; 36 (Database issue): D440-D444
30. Tiffin N, Kelso JF, Powell AR, Pan H, Bajic VB, Hide WA. Integration of text- and data-mining using ontologies successfully selects disease gene candidates. Nucleic Acids Res 2005; 33 (5): 1544-1552