Genome-scale network analysis of imprinted human metabolic genes

Epigenetics

Volumn 4, Issue 1, 2009, Pages 43-46

  Sigurdsson, Martin I ^a,b   Jamshidi, Neema ^c   Jonsson, Jon J ^a,b   Palsson, Bernhard Ø ^a,c,d  

^a UNIVERSITY OF ICELAND   (Iceland)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^d NONE   (United States)

Author keywords

ATP10A; Epigenetics; Human reconstruction; Obesity; Systems biology

Indexed keywords

ADENOSINE TRIPHOSPHATE;

AMINO ACID METABOLISM; BIOSYNTHESIS; CARBOHYDRATE METABOLISM; CELL METABOLISM; COMPUTER MODEL; COMPUTER SIMULATION; FAMILY THEORY; GENE DELETION; GENE EXPRESSION; GENE IDENTIFICATION; GENE LOCATION; GENE MUTATION; GENETIC DISORDER; GENETIC VARIABILITY; GENOME ANALYSIS; GENOME IMPRINTING; GENOTYPE; HAPPY PUPPET SYNDROME; LIPID METABOLISM; METABOLIC DISORDER; METABOLISM; OBESITY; PHENOTYPE; PRADER WILLI SYNDROME; PREDICTION; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 66349089524     PISSN: 15592294     EISSN: 15592308     Source Type: Journal    
DOI: 10.4161/epi.4.1.7603     Document Type: Review

References (20)

1. Reik W, Walter J. Genomic imprinting: parental influence on the genome. Nat Rev Genet 2001; 2:21-32.
2. Amor DJ, Halliday J. A review of known imprinting syndromes and their association with assisted reproduction technologies. Hum Reprod 2008; 23:2826-34.
3. Luedi PP, Dietrich FS, Weidman JR, Bosko JM, Jirtle RL, Hartemink AJ. Computational and experimental identification of novel human imprinted genes. Genome Res 2007; 17:1723-30.
4. Moore T, Haig D. Genomic imprinting in mammalian development: a parental tug-of-war. Trends Genet 1991; 7:45-9.
5. Hurst LD, McVean GT. Growth effects of uniparental disomies and the conflict theory of genomic imprinting. Trends Genet 1997; 13:436-43.
6. Duarte NC, Becker SA, Jamshidi N, Thiele I, Mo ML, Vo TD, et al. Global reconstruction of the human metabolic network based on genomic and bibliomic data. Proc Natl Acad Sci USA 2007; 104:1777-82.
7. Shlomi T, Cabili MN, Herrgard MJ, Palsson BO, Ruppin E. Network-based prediction of human tissue-specific metabolism. Nat Biotechnol 2008; 26:1003-10.
8. Lee DS, Park J, Kay KA, Christakis NA, Oltvai ZN, Barabasi AL. The implications of human metabolic network topology for disease comorbidity. Proc Natl Acad Sci USA 2008; 105:9880-5.
9. Jamshidi N, Palsson BO. Systems biology of SNPs. Mol Syst Biol 2006; 2:38.
10. Mahadevan R, Schilling CH. The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. Metab Eng 2003; 5:264-76.
11. Meguro M, Kashiwagi A, Mitsuya K, Nakao M, Kondo I, Saitoh S, et al. A novel maternally expressed gene, ATP10C, encodes a putative aminophospholipid translocase associated with Angelman syndrome. Nat Genet 2001; 28:19-20.
12. Dhar M, Webb LS, Smith L, Hauser L, Johnson D, West DB. A novel ATPase on mouse chromosome 7 is a candidate gene for increased body fat. Physiol Genomics 2000; 4:93-100.
13. Cattanach BM, Barr JA, Beechey CV, Martin J, Noebels J, Jones J. A candidate model for Angelman syndrome in the mouse. Mamm Genome 1997; 8:472-8.
14. Gillessen-Kaesbach G, Demuth S, Thiele H, Theile U, Lich C, Horsthemke B. A previously unrecognised phenotype characterised by obesity, muscular hypotonia and ability to speak in patients with Angelman syndrome caused by an imprinting defect. Eur J Hum Genet 1999; 7:638-44.
15. OMIM. Online Mendelian Inheritance in Man, OMIM (TM). Johns Hopkins University, Baltimore, MD 2008.
16. Mitchell J, Schinzel A, Langlois S, Gillessen-Kaesbach G, Schuffenhauer S, Michaelis R, et al. Comparison of phenotype in uniparental disomy and deletion Prader-Willi syndrome: sex specific differences. Am J Med Genet 1996; 65:133-6.
17. Feist AM, Palsson BO. The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli. Nat Biotechnol 2008; 26:659-67.
18. Shlomi T, Berkman O, Ruppin E. Regulatory on/off minimization of metabolic flux changes after genetic perturbations. Proc Natl Acad Sci USA 2005; 102:7695-700.
19. Sheikh K, Forster J, Nielsen LK. Modeling hybridoma cell metabolism using a generic genome-scale metabolic model of Mus musculus. Biotechnol Prog 2005; 21:112-21.
20. Becker SA, Feist AM, Mo ML, Hannum G, Palsson BO, Herrgard MJ. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox. Nat Protoc 2007; 2:727-38.