메뉴 건너뛰기




Volumn 34, Issue 4, 2016, Pages 276-290

Trans-Omics: How To Reconstruct Biochemical Networks Across Multiple 'Omic' Layers

Author keywords

Metabolome; Omic data; Proteome; Trans ome wide association study (trans OWAS); Trans omics

Indexed keywords

ASSOCIATION REACTIONS; DATA INTEGRATION; ENVIRONMENTAL REGULATIONS; ENVIRONMENTAL TECHNOLOGY; METABOLISM; PHYSIOLOGY; PROTEINS;

EID: 84956858710     PISSN: 01677799     EISSN: 18793096     Source Type: Journal    
DOI: 10.1016/j.tibtech.2015.12.013     Document Type: Review
Times cited : (195)

References (135)
  • 1
    • 0036843965 scopus 로고    scopus 로고
    • Gene networks: how to put the function in genomics
    • Brazhnik P., et al. Gene networks: how to put the function in genomics. Trends Biotechnol. 2002, 20:467-472.
    • (2002) Trends Biotechnol. , vol.20 , pp. 467-472
    • Brazhnik, P.1
  • 2
    • 26944471174 scopus 로고    scopus 로고
    • The next wave in metabolome analysis
    • Nielsen J., Oliver S. The next wave in metabolome analysis. Trends Biotechnol. 2005, 23:544-546.
    • (2005) Trends Biotechnol. , vol.23 , pp. 544-546
    • Nielsen, J.1    Oliver, S.2
  • 3
    • 55549089660 scopus 로고    scopus 로고
    • Accurate whole human genome sequencing using reversible terminator chemistry
    • Bentley D.R., et al. Accurate whole human genome sequencing using reversible terminator chemistry. Nature 2008, 456:53-59.
    • (2008) Nature , vol.456 , pp. 53-59
    • Bentley, D.R.1
  • 4
    • 45549088326 scopus 로고    scopus 로고
    • The transcriptional landscape of the yeast genome defined by RNA sequencing
    • Nagalakshmi U., et al. The transcriptional landscape of the yeast genome defined by RNA sequencing. Science 2008, 320:1344-1349.
    • (2008) Science , vol.320 , pp. 1344-1349
    • Nagalakshmi, U.1
  • 5
    • 46249103973 scopus 로고    scopus 로고
    • Stem cell transcriptome profiling via massive-scale mRNA sequencing
    • Cloonan N., et al. Stem cell transcriptome profiling via massive-scale mRNA sequencing. Nat. Methods 2008, 5:613-619.
    • (2008) Nat. Methods , vol.5 , pp. 613-619
    • Cloonan, N.1
  • 6
    • 57449100870 scopus 로고    scopus 로고
    • Design and analysis of ChIP-seq experiments for DNA-binding proteins
    • Kharchenko P.V., et al. Design and analysis of ChIP-seq experiments for DNA-binding proteins. Nat. Biotechnol. 2008, 26:1351-1359.
    • (2008) Nat. Biotechnol. , vol.26 , pp. 1351-1359
    • Kharchenko, P.V.1
  • 7
    • 80053388216 scopus 로고    scopus 로고
    • Whole-genome chromatin profiling from limited numbers of cells using nano-ChIP-seq
    • Adli M., Bernstein B.E. Whole-genome chromatin profiling from limited numbers of cells using nano-ChIP-seq. Nat. Protoc. 2011, 6:1656-1668.
    • (2011) Nat. Protoc. , vol.6 , pp. 1656-1668
    • Adli, M.1    Bernstein, B.E.2
  • 8
    • 84904185974 scopus 로고    scopus 로고
    • Occupancy of tissue-specific cis-regulatory modules by Otx2 and TLE/Groucho for embryonic head specification
    • Yasuoka Y., et al. Occupancy of tissue-specific cis-regulatory modules by Otx2 and TLE/Groucho for embryonic head specification. Nat. Commun. 2014, 5:4322.
    • (2014) Nat. Commun. , vol.5 , pp. 4322
    • Yasuoka, Y.1
  • 9
    • 19944432197 scopus 로고    scopus 로고
    • Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents
    • Ross P.L., et al. Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents. Mol. Cell. Proteomics 2004, 3:1154-1169.
    • (2004) Mol. Cell. Proteomics , vol.3 , pp. 1154-1169
    • Ross, P.L.1
  • 10
    • 22844436250 scopus 로고    scopus 로고
    • Quantitative mouse brain proteomics using culture-derived isotope tags as internal standards
    • Ishihama Y., et al. Quantitative mouse brain proteomics using culture-derived isotope tags as internal standards. Nat. Biotechnol. 2005, 23:617-621.
    • (2005) Nat. Biotechnol. , vol.23 , pp. 617-621
    • Ishihama, Y.1
  • 11
    • 33750456519 scopus 로고    scopus 로고
    • Global, in vivo, and site-specific phosphorylation dynamics in signaling networks
    • Olsen J.V., et al. Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. Cell 2006, 127:635-648.
    • (2006) Cell , vol.127 , pp. 635-648
    • Olsen, J.V.1
  • 12
    • 67651229135 scopus 로고    scopus 로고
    • Large-scale proteomic analysis of tyrosine-phosphorylation induced by T-cell receptor or B-cell receptor activation reveals new signaling pathways
    • Matsumoto M., et al. Large-scale proteomic analysis of tyrosine-phosphorylation induced by T-cell receptor or B-cell receptor activation reveals new signaling pathways. Proteomics 2009, 9:3549-3563.
    • (2009) Proteomics , vol.9 , pp. 3549-3563
    • Matsumoto, M.1
  • 13
    • 84878796897 scopus 로고    scopus 로고
    • Dynamic adipocyte phosphoproteome reveals that Akt directly regulates mTORC2
    • Humphrey S.J., et al. Dynamic adipocyte phosphoproteome reveals that Akt directly regulates mTORC2. Cell Metab. 2013, 17:1009-1020.
    • (2013) Cell Metab. , vol.17 , pp. 1009-1020
    • Humphrey, S.J.1
  • 14
    • 84901677321 scopus 로고    scopus 로고
    • Quantitative phosphoproteomic analysis reveals system-wide signaling pathways downstream of SDF-1/CXCR4 in breast cancer stem cells
    • Yi T., et al. Quantitative phosphoproteomic analysis reveals system-wide signaling pathways downstream of SDF-1/CXCR4 in breast cancer stem cells. Proc. Natl. Acad. Sci. U.S.A. 2014, 111:E2182-E2190.
    • (2014) Proc. Natl. Acad. Sci. U.S.A. , vol.111 , pp. E2182-E2190
    • Yi, T.1
  • 15
    • 84896979657 scopus 로고    scopus 로고
    • A multivariate distance-based analytic framework for connectome-wide association studies
    • Shehzad Z., et al. A multivariate distance-based analytic framework for connectome-wide association studies. Neuroimage 2014, 93:74-94.
    • (2014) Neuroimage , vol.93 , pp. 74-94
    • Shehzad, Z.1
  • 16
    • 84928733586 scopus 로고    scopus 로고
    • Temporal proteomics of NGF-TrkA signaling identifies an inhibitory role for the E3 ligase Cbl-b in neuroblastoma cell differentiation
    • Emdal K.B., et al. Temporal proteomics of NGF-TrkA signaling identifies an inhibitory role for the E3 ligase Cbl-b in neuroblastoma cell differentiation. Sci. Signal. 2015, 8:ra40.
    • (2015) Sci. Signal. , vol.8 , pp. ra40
    • Emdal, K.B.1
  • 17
    • 0036583926 scopus 로고    scopus 로고
    • Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics
    • Ong S.E., et al. Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics. Mol. Cell. Proteomics 2002, 1:376-386.
    • (2002) Mol. Cell. Proteomics , vol.1 , pp. 376-386
    • Ong, S.E.1
  • 18
    • 35348863892 scopus 로고    scopus 로고
    • High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites
    • Stahl-Zeng J., et al. High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites. Mol. Cell. Proteomics 2007, 6:1809-1817.
    • (2007) Mol. Cell. Proteomics , vol.6 , pp. 1809-1817
    • Stahl-Zeng, J.1
  • 19
    • 0033757963 scopus 로고    scopus 로고
    • Metabolite profiling for plant functional genomics
    • Fiehn O., et al. Metabolite profiling for plant functional genomics. Nat. Biotechnol. 2000, 18:1157-1161.
    • (2000) Nat. Biotechnol. , vol.18 , pp. 1157-1161
    • Fiehn, O.1
  • 20
    • 68049100110 scopus 로고    scopus 로고
    • Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli
    • Bennett B.D., et al. Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli. Nat. Chem. Biol. 2009, 5:593-599.
    • (2009) Nat. Chem. Biol. , vol.5 , pp. 593-599
    • Bennett, B.D.1
  • 21
    • 84877111087 scopus 로고    scopus 로고
    • Lipidomic analysis of brain tissues and plasma in a mouse model expressing mutated human amyloid precursor protein/tau for Alzheimer's disease
    • Tajima Y., et al. Lipidomic analysis of brain tissues and plasma in a mouse model expressing mutated human amyloid precursor protein/tau for Alzheimer's disease. Lipids Health Dis. 2013, 12:68.
    • (2013) Lipids Health Dis. , vol.12 , pp. 68
    • Tajima, Y.1
  • 22
    • 0037093109 scopus 로고    scopus 로고
    • Simultaneous determination of anionic intermediates for Bacillus subtilis metabolic pathways by capillary electrophoresis electrospray ionization mass spectrometry
    • Soga T., et al. Simultaneous determination of anionic intermediates for Bacillus subtilis metabolic pathways by capillary electrophoresis electrospray ionization mass spectrometry. Anal. Chem. 2002, 74:2233-2239.
    • (2002) Anal. Chem. , vol.74 , pp. 2233-2239
    • Soga, T.1
  • 23
    • 33745209659 scopus 로고    scopus 로고
    • Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption
    • Soga T. Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption. J. Biol. Chem. 2006, 281:16768-16776.
    • (2006) J. Biol. Chem. , vol.281 , pp. 16768-16776
    • Soga, T.1
  • 24
    • 68049109441 scopus 로고    scopus 로고
    • Metabolomic profiling of anionic metabolites by capillary electrophoresis mass spectrometry
    • Soga T., et al. Metabolomic profiling of anionic metabolites by capillary electrophoresis mass spectrometry. Anal. Chem. 2009, 81:6165-6174.
    • (2009) Anal. Chem. , vol.81 , pp. 6165-6174
    • Soga, T.1
  • 25
    • 44949241572 scopus 로고    scopus 로고
    • High throughput and exhaustive analysis of diverse lipids by using supercritical fluid chromatography-mass spectrometry for metabolomics
    • Bamba T., et al. High throughput and exhaustive analysis of diverse lipids by using supercritical fluid chromatography-mass spectrometry for metabolomics. J. Biosci. Bioeng. 2008, 105:460-469.
    • (2008) J. Biosci. Bioeng. , vol.105 , pp. 460-469
    • Bamba, T.1
  • 26
    • 41149099000 scopus 로고    scopus 로고
    • Symbiotic gut microbes modulate human metabolic phenotypes
    • Li M., et al. Symbiotic gut microbes modulate human metabolic phenotypes. Proc. Natl. Acad. Sci. U.S.A. 2008, 105:2117-2122.
    • (2008) Proc. Natl. Acad. Sci. U.S.A. , vol.105 , pp. 2117-2122
    • Li, M.1
  • 27
    • 84907886121 scopus 로고    scopus 로고
    • Precision high-throughput proton NMR spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping
    • Dona A.C., et al. Precision high-throughput proton NMR spectroscopy of human urine, serum, and plasma for large-scale metabolic phenotyping. Anal. Chem. 2014, 86:9887-9894.
    • (2014) Anal. Chem. , vol.86 , pp. 9887-9894
    • Dona, A.C.1
  • 28
    • 0037815199 scopus 로고    scopus 로고
    • A functional genomics approach toward the understanding of secondary metabolism in plant cells
    • Goossens A., et al. A functional genomics approach toward the understanding of secondary metabolism in plant cells. Proc. Natl. Acad. Sci. U.S.A. 2003, 100:8595-8600.
    • (2003) Proc. Natl. Acad. Sci. U.S.A. , vol.100 , pp. 8595-8600
    • Goossens, A.1
  • 29
    • 3042750616 scopus 로고    scopus 로고
    • Integration of transcriptomics and metabolomics for understanding of global responses to nutritional stresses in Arabidopsis thaliana
    • Hirai M.Y., et al. Integration of transcriptomics and metabolomics for understanding of global responses to nutritional stresses in Arabidopsis thaliana. Proc. Natl. Acad. Sci. U.S.A. 2004, 101:10205-10210.
    • (2004) Proc. Natl. Acad. Sci. U.S.A. , vol.101 , pp. 10205-10210
    • Hirai, M.Y.1
  • 30
    • 33644527950 scopus 로고    scopus 로고
    • The model organism as a system: integrating 'omics' data sets
    • Joyce A.R., Palsson B.O. The model organism as a system: integrating 'omics' data sets. Nat. Rev. Mol. Cell Biol. 2006, 7:198-210.
    • (2006) Nat. Rev. Mol. Cell Biol. , vol.7 , pp. 198-210
    • Joyce, A.R.1    Palsson, B.O.2
  • 31
    • 34247612307 scopus 로고    scopus 로고
    • Multiple high-throughput analyses monitor the response of E. coli to perturbations
    • Ishii N., et al. Multiple high-throughput analyses monitor the response of E. coli to perturbations. Science 2007, 316:593-597.
    • (2007) Science , vol.316 , pp. 593-597
    • Ishii, N.1
  • 32
    • 77958460555 scopus 로고    scopus 로고
    • The challenges of integrating multi-omic data sets
    • Palsson B., Zengler K. The challenges of integrating multi-omic data sets. Nat. Chem. Biol. 2010, 6:787-789.
    • (2010) Nat. Chem. Biol. , vol.6 , pp. 787-789
    • Palsson, B.1    Zengler, K.2
  • 33
    • 79960964285 scopus 로고    scopus 로고
    • Regulation and control of metabolic fluxes in microbes
    • Gerosa L., Sauer U. Regulation and control of metabolic fluxes in microbes. Curr. Opin. Biotechnol. 2011, 22:566-575.
    • (2011) Curr. Opin. Biotechnol. , vol.22 , pp. 566-575
    • Gerosa, L.1    Sauer, U.2
  • 34
    • 84857672615 scopus 로고    scopus 로고
    • Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism
    • Buescher J.M., et al. Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism. Science 2012, 335:1099-1103.
    • (2012) Science , vol.335 , pp. 1099-1103
    • Buescher, J.M.1
  • 35
    • 84869430619 scopus 로고    scopus 로고
    • Regulation of yeast central metabolism by enzyme phosphorylation
    • Oliveira A.P., et al. Regulation of yeast central metabolism by enzyme phosphorylation. Mol. Syst. Biol. 2012, 8:623.
    • (2012) Mol. Syst. Biol. , vol.8 , pp. 623
    • Oliveira, A.P.1
  • 36
    • 84877296949 scopus 로고    scopus 로고
    • Systematic identification of allosteric protein-metabolite interactions that control enzyme activity in vivo
    • Link H., et al. Systematic identification of allosteric protein-metabolite interactions that control enzyme activity in vivo. Nat. Biotechnol. 2013, 31:357-361.
    • (2013) Nat. Biotechnol. , vol.31 , pp. 357-361
    • Link, H.1
  • 37
    • 84908356647 scopus 로고    scopus 로고
    • Reconstruction of insulin signal flow from phosphoproteome and metabolome data
    • Yugi K., et al. Reconstruction of insulin signal flow from phosphoproteome and metabolome data. Cell Rep. 2014, 8:1171-1183.
    • (2014) Cell Rep. , vol.8 , pp. 1171-1183
    • Yugi, K.1
  • 38
    • 84908077262 scopus 로고    scopus 로고
    • Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population
    • Wu Y., et al. Multilayered genetic and omics dissection of mitochondrial activity in a mouse reference population. Cell 2014, 158:1415-1430.
    • (2014) Cell , vol.158 , pp. 1415-1430
    • Wu, Y.1
  • 39
    • 84907192649 scopus 로고    scopus 로고
    • A dietary-wide association study (DWAS) of environmental metal exposure in US children and adults
    • Davis M.A., et al. A dietary-wide association study (DWAS) of environmental metal exposure in US children and adults. PLoS ONE 2014, 9:e104768.
    • (2014) PLoS ONE , vol.9
    • Davis, M.A.1
  • 40
    • 79960556965 scopus 로고    scopus 로고
    • Epigenome-wide association studies for common human diseases
    • Rakyan V.K., et al. Epigenome-wide association studies for common human diseases. Nat. Rev. Genet. 2011, 12:529-541.
    • (2011) Nat. Rev. Genet. , vol.12 , pp. 529-541
    • Rakyan, V.K.1
  • 41
    • 84928723640 scopus 로고    scopus 로고
    • Dynamic phosphoproteomics reveals TORC1-dependent regulation of yeast nucleotide and amino acid biosynthesis
    • Oliveira A.P., et al. Dynamic phosphoproteomics reveals TORC1-dependent regulation of yeast nucleotide and amino acid biosynthesis. Sci. Signal. 2015, 8:rs4.
    • (2015) Sci. Signal. , vol.8 , pp. rs4
    • Oliveira, A.P.1
  • 42
    • 84928720415 scopus 로고    scopus 로고
    • Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome
    • Oliveira A.P., et al. Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome. Mol. Syst. Biol. 2015, 11:802.
    • (2015) Mol. Syst. Biol. , vol.11 , pp. 802
    • Oliveira, A.P.1
  • 43
    • 0037716676 scopus 로고    scopus 로고
    • Building with a scaffold: emerging strategies for high- to low-level cellular modeling
    • Ideker T., Lauffenburger D. Building with a scaffold: emerging strategies for high- to low-level cellular modeling. Trends Biotechnol. 2003, 21:255-262.
    • (2003) Trends Biotechnol. , vol.21 , pp. 255-262
    • Ideker, T.1    Lauffenburger, D.2
  • 44
    • 33750351769 scopus 로고    scopus 로고
    • Data-driven modelling of signal-transduction networks
    • Janes K.A., Yaffe M.B. Data-driven modelling of signal-transduction networks. Nat. Rev. Mol. Cell Biol. 2006, 7:820-828.
    • (2006) Nat. Rev. Mol. Cell Biol. , vol.7 , pp. 820-828
    • Janes, K.A.1    Yaffe, M.B.2
  • 45
    • 84878668031 scopus 로고    scopus 로고
    • Models of signalling networks - what cell biologists can gain from them and give to them
    • Janes K.A., Lauffenburger D.A. Models of signalling networks - what cell biologists can gain from them and give to them. J. Cell Sci. 2013, 126:1913-1921.
    • (2013) J. Cell Sci. , vol.126 , pp. 1913-1921
    • Janes, K.A.1    Lauffenburger, D.A.2
  • 46
    • 84931273722 scopus 로고    scopus 로고
    • Data-driven integration of genome-scale regulatory and metabolic network models
    • Imam S., et al. Data-driven integration of genome-scale regulatory and metabolic network models. Front. Microbiol. 2015, 6:409.
    • (2015) Front. Microbiol. , vol.6 , pp. 409
    • Imam, S.1
  • 47
    • 84913588646 scopus 로고    scopus 로고
    • Large-scale functional analysis of the roles of phosphorylation in yeast metabolic pathways
    • Schulz J.C., et al. Large-scale functional analysis of the roles of phosphorylation in yeast metabolic pathways. Sci. Signal. 2014, 7:rs6.
    • (2014) Sci. Signal. , vol.7 , pp. rs6
    • Schulz, J.C.1
  • 48
    • 3042818018 scopus 로고    scopus 로고
    • The International Protein Index: an integrated database for proteomics experiments
    • Kersey P.J., et al. The International Protein Index: an integrated database for proteomics experiments. Proteomics 2004, 4:1985-1988.
    • (2004) Proteomics , vol.4 , pp. 1985-1988
    • Kersey, P.J.1
  • 49
    • 0033193074 scopus 로고    scopus 로고
    • IUPAC-IUBMB Joint Commission on Biochemical Nomenclature (JCBN) and Nomenclature Committee of IUBMB (NC-IUBMB), newsletter 1999
    • IUBMB
    • IUPAC-IUBMB Joint Commission on Biochemical Nomenclature (JCBN) and Nomenclature Committee of IUBMB (NC-IUBMB), newsletter 1999. Eur. J. Biochem. 1999, 264:607-609. IUBMB.
    • (1999) Eur. J. Biochem. , vol.264 , pp. 607-609
  • 50
    • 84858314394 scopus 로고    scopus 로고
    • BioMart: driving a paradigm change in biological data management
    • bar049
    • Kasprzyk A. BioMart: driving a paradigm change in biological data management. Database 2011, 2011:bar049.
    • (2011) Database , vol.2011
    • Kasprzyk, A.1
  • 51
    • 61449172037 scopus 로고    scopus 로고
    • Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
    • Huang da W., et al. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 2009, 4:44-57.
    • (2009) Nat. Protoc. , vol.4 , pp. 44-57
    • Huang da, W.1
  • 52
    • 70149085189 scopus 로고    scopus 로고
    • Extracting biological meaning from large gene lists with DAVID
    • John Wiley & Sons, Unit 13. 11, A.D. Baxevanis (Ed.)
    • Huang da W., et al. Extracting biological meaning from large gene lists with DAVID. Current Protocols in Bioinformatics 2009, John Wiley & Sons, Unit 13. 11. A.D. Baxevanis (Ed.).
    • (2009) Current Protocols in Bioinformatics
    • Huang da, W.1
  • 53
    • 60149086624 scopus 로고    scopus 로고
    • BioDBnet: the biological database network
    • Mudunuri U., et al. bioDBnet: the biological database network. Bioinformatics 2009, 25:555-556.
    • (2009) Bioinformatics , vol.25 , pp. 555-556
    • Mudunuri, U.1
  • 54
    • 77953262646 scopus 로고    scopus 로고
    • The phosphoproteome of toll-like receptor-activated macrophages
    • Weintz G., et al. The phosphoproteome of toll-like receptor-activated macrophages. Mol. Syst. Biol. 2010, 6:371.
    • (2010) Mol. Syst. Biol. , vol.6 , pp. 371
    • Weintz, G.1
  • 55
    • 84865739425 scopus 로고    scopus 로고
    • Architecture of the human regulatory network derived from ENCODE data
    • Gerstein M.B., et al. Architecture of the human regulatory network derived from ENCODE data. Nature 2012, 489:91-100.
    • (2012) Nature , vol.489 , pp. 91-100
    • Gerstein, M.B.1
  • 56
    • 70349882120 scopus 로고    scopus 로고
    • Unbiased reconstruction of a mammalian transcriptional network mediating pathogen responses
    • Amit I., et al. Unbiased reconstruction of a mammalian transcriptional network mediating pathogen responses. Science 2009, 326:257-263.
    • (2009) Science , vol.326 , pp. 257-263
    • Amit, I.1
  • 57
    • 65149083962 scopus 로고    scopus 로고
    • The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line
    • Suzuki H., et al. The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line. Nat. Genet. 2009, 41:553-562.
    • (2009) Nat. Genet. , vol.41 , pp. 553-562
    • Suzuki, H.1
  • 58
    • 0345824737 scopus 로고    scopus 로고
    • Network component analysis: reconstruction of regulatory signals in biological systems
    • Liao J.C., et al. Network component analysis: reconstruction of regulatory signals in biological systems. Proc. Natl. Acad. Sci. U.S.A. 2003, 100:15522-15527.
    • (2003) Proc. Natl. Acad. Sci. U.S.A. , vol.100 , pp. 15522-15527
    • Liao, J.C.1
  • 59
    • 0345743695 scopus 로고    scopus 로고
    • Transcriptome-based determination of multiple transcription regulator activities in Escherichia coli by using network component analysis
    • Kao K.C., et al. Transcriptome-based determination of multiple transcription regulator activities in Escherichia coli by using network component analysis. Proc. Natl. Acad. Sci. U.S.A. 2004, 101:641-646.
    • (2004) Proc. Natl. Acad. Sci. U.S.A. , vol.101 , pp. 641-646
    • Kao, K.C.1
  • 60
    • 84881430615 scopus 로고    scopus 로고
    • Statistical significance of combinatorial regulations
    • Terada A., et al. Statistical significance of combinatorial regulations. Proc. Natl. Acad. Sci. U.S.A. 2013, 110:12996-13001.
    • (2013) Proc. Natl. Acad. Sci. U.S.A. , vol.110 , pp. 12996-13001
    • Terada, A.1
  • 61
    • 67749113808 scopus 로고    scopus 로고
    • Transcriptional regulatory circuits: predicting numbers from alphabets
    • Kim H.D., et al. Transcriptional regulatory circuits: predicting numbers from alphabets. Science 2009, 325:429-432.
    • (2009) Science , vol.325 , pp. 429-432
    • Kim, H.D.1
  • 62
    • 84924063355 scopus 로고    scopus 로고
    • The landscape of long noncoding RNAs in the human transcriptome
    • Iyer M.K., et al. The landscape of long noncoding RNAs in the human transcriptome. Nat. Genet. 2015, 47:199-208.
    • (2015) Nat. Genet. , vol.47 , pp. 199-208
    • Iyer, M.K.1
  • 63
    • 79951974172 scopus 로고    scopus 로고
    • Methionine adenosyltransferase II serves as a transcriptional corepressor of Maf oncoprotein
    • Katoh Y., et al. Methionine adenosyltransferase II serves as a transcriptional corepressor of Maf oncoprotein. Mol. Cell 2011, 41:554-566.
    • (2011) Mol. Cell , vol.41 , pp. 554-566
    • Katoh, Y.1
  • 64
    • 84872160110 scopus 로고    scopus 로고
    • Influence of threonine metabolism on S-adenosylmethionine and histone methylation
    • Shyh-Chang N., et al. Influence of threonine metabolism on S-adenosylmethionine and histone methylation. Science 2013, 339:222-226.
    • (2013) Science , vol.339 , pp. 222-226
    • Shyh-Chang, N.1
  • 65
    • 0042622251 scopus 로고    scopus 로고
    • Scansite 2.0: Proteome-wide prediction of cell signaling interactions using short sequence motifs
    • Obenauer J.C., et al. Scansite 2.0: Proteome-wide prediction of cell signaling interactions using short sequence motifs. Nucleic Acids Res. 2003, 31:3635-3641.
    • (2003) Nucleic Acids Res. , vol.31 , pp. 3635-3641
    • Obenauer, J.C.1
  • 66
    • 2942564430 scopus 로고    scopus 로고
    • Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence
    • Blom N., et al. Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence. Proteomics 2004, 4:1633-1649.
    • (2004) Proteomics , vol.4 , pp. 1633-1649
    • Blom, N.1
  • 67
    • 52649145895 scopus 로고    scopus 로고
    • GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy
    • Xue Y., et al. GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy. Mol. Cell. Proteomics 2008, 7:1598-1608.
    • (2008) Mol. Cell. Proteomics , vol.7 , pp. 1598-1608
    • Xue, Y.1
  • 68
    • 55749111058 scopus 로고    scopus 로고
    • Linear motif atlas for phosphorylation-dependent signaling
    • Miller M.L., et al. Linear motif atlas for phosphorylation-dependent signaling. Sci. Signal. 2008, 1:ra2.
    • (2008) Sci. Signal. , vol.1 , pp. ra2
    • Miller, M.L.1
  • 69
    • 84901788851 scopus 로고    scopus 로고
    • KinomeXplorer: an integrated platform for kinome biology studies
    • Horn H., et al. KinomeXplorer: an integrated platform for kinome biology studies. Nat. Methods 2014, 11:603-604.
    • (2014) Nat. Methods , vol.11 , pp. 603-604
    • Horn, H.1
  • 70
    • 78651277460 scopus 로고    scopus 로고
    • PHOSIDA 2011: the posttranslational modification database
    • Gnad F., et al. PHOSIDA 2011: the posttranslational modification database. Nucleic Acids Res. 2011, 39:D253-D260.
    • (2011) Nucleic Acids Res. , vol.39 , pp. D253-D260
    • Gnad, F.1
  • 71
    • 84867153786 scopus 로고    scopus 로고
    • Systematic analysis of protein phosphorylation networks from phosphoproteomic data
    • Song C., et al. Systematic analysis of protein phosphorylation networks from phosphoproteomic data. Mol. Cell. Proteomics 2012, 11:1070-1083.
    • (2012) Mol. Cell. Proteomics , vol.11 , pp. 1070-1083
    • Song, C.1
  • 72
    • 34250743173 scopus 로고    scopus 로고
    • Systematic discovery of in vivo phosphorylation networks
    • Linding R., et al. Systematic discovery of in vivo phosphorylation networks. Cell 2007, 129:1415-1426.
    • (2007) Cell , vol.129 , pp. 1415-1426
    • Linding, R.1
  • 73
    • 78651333590 scopus 로고    scopus 로고
    • RegPhos: a system to explore the protein kinase-substrate phosphorylation network in humans
    • Lee T.Y., et al. RegPhos: a system to explore the protein kinase-substrate phosphorylation network in humans. Nucleic Acids Res. 2011, 39:D777-D787.
    • (2011) Nucleic Acids Res. , vol.39 , pp. D777-D787
    • Lee, T.Y.1
  • 74
    • 84908092742 scopus 로고    scopus 로고
    • RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals
    • Huang K.Y., et al. RegPhos 2.0: an updated resource to explore protein kinase-substrate phosphorylation networks in mammals. Database 2014, 2014:bau034.
    • (2014) Database , vol.2014
    • Huang, K.Y.1
  • 75
    • 78651320816 scopus 로고    scopus 로고
    • Phospho.ELM: a database of phosphorylation sites - update 2011
    • Dinkel H., et al. Phospho.ELM: a database of phosphorylation sites - update 2011. Nucleic Acids Res. 2011, 39:D261-D267.
    • (2011) Nucleic Acids Res. , vol.39 , pp. D261-D267
    • Dinkel, H.1
  • 76
    • 84857047339 scopus 로고    scopus 로고
    • PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse
    • Hornbeck P.V., et al. PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse. Nucleic Acids Res. 2012, 40:D261-D270.
    • (2012) Nucleic Acids Res. , vol.40 , pp. D261-D270
    • Hornbeck, P.V.1
  • 77
    • 84891361322 scopus 로고    scopus 로고
    • PhosphoNetworks: a database for human phosphorylation networks
    • Hu J., et al. PhosphoNetworks: a database for human phosphorylation networks. Bioinformatics 2014, 30:141-142.
    • (2014) Bioinformatics , vol.30 , pp. 141-142
    • Hu, J.1
  • 78
    • 77957667140 scopus 로고    scopus 로고
    • A human MAP kinase interactome
    • Bandyopadhyay S., et al. A human MAP kinase interactome. Nat. Methods 2010, 7:801-805.
    • (2010) Nat. Methods , vol.7 , pp. 801-805
    • Bandyopadhyay, S.1
  • 79
    • 84876515907 scopus 로고    scopus 로고
    • STRING v9.1: protein-protein interaction networks, with increased coverage and integration
    • Franceschini A., et al. STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 2013, 41:D808-D815.
    • (2013) Nucleic Acids Res. , vol.41 , pp. D808-D815
    • Franceschini, A.1
  • 80
    • 70350235043 scopus 로고    scopus 로고
    • Interaction networks: lessons from large-scale studies in yeast
    • Cagney G. Interaction networks: lessons from large-scale studies in yeast. Proteomics 2009, 9:4799-4811.
    • (2009) Proteomics , vol.9 , pp. 4799-4811
    • Cagney, G.1
  • 81
    • 79952674000 scopus 로고    scopus 로고
    • Interactome networks and human disease
    • Vidal M., et al. Interactome networks and human disease. Cell 2011, 144:986-998.
    • (2011) Cell , vol.144 , pp. 986-998
    • Vidal, M.1
  • 82
    • 84904752421 scopus 로고    scopus 로고
    • Protein-protein interaction detection: methods and analysis
    • Rao V.S., et al. Protein-protein interaction detection: methods and analysis. Int. J. Proteomics 2014, 2014:147648.
    • (2014) Int. J. Proteomics , vol.2014 , pp. 147648
    • Rao, V.S.1
  • 83
    • 84880048544 scopus 로고    scopus 로고
    • Identification of protein interactions involved in cellular signaling
    • Westermarck J., et al. Identification of protein interactions involved in cellular signaling. Mol. Cell. Proteomics 2013, 12:1752-1763.
    • (2013) Mol. Cell. Proteomics , vol.12 , pp. 1752-1763
    • Westermarck, J.1
  • 84
    • 0242490780 scopus 로고    scopus 로고
    • Cytoscape: a software environment for integrated models of biomolecular interaction networks
    • Shannon P., et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003, 13:2498-2504.
    • (2003) Genome Res. , vol.13 , pp. 2498-2504
    • Shannon, P.1
  • 85
    • 77649252269 scopus 로고    scopus 로고
    • Visualization of omics data for systems biology
    • Gehlenborg N., et al. Visualization of omics data for systems biology. Nat. Methods 2010, 7:S56-S68.
    • (2010) Nat. Methods , vol.7 , pp. S56-S68
    • Gehlenborg, N.1
  • 86
    • 78651330012 scopus 로고    scopus 로고
    • BRENDA, the enzyme information system in 2011
    • Scheer M., et al. BRENDA, the enzyme information system in 2011. Nucleic Acids Res. 2011, 39:D670-D676.
    • (2011) Nucleic Acids Res. , vol.39 , pp. D670-D676
    • Scheer, M.1
  • 87
    • 84941103395 scopus 로고    scopus 로고
    • BRENDA in 2015: exciting developments in its 25th year of existence
    • Chang A., et al. BRENDA in 2015: exciting developments in its 25th year of existence. Nucleic Acids Res. 2015, 43:D439-D446.
    • (2015) Nucleic Acids Res. , vol.43 , pp. D439-D446
    • Chang, A.1
  • 88
    • 78651295418 scopus 로고    scopus 로고
    • ASD: a comprehensive database of allosteric proteins and modulators
    • Huang Z., et al. ASD: a comprehensive database of allosteric proteins and modulators. Nucleic Acids Res. 2011, 39:D663-D669.
    • (2011) Nucleic Acids Res. , vol.39 , pp. D663-D669
    • Huang, Z.1
  • 89
    • 84891778690 scopus 로고    scopus 로고
    • ASD v2.0: updated content and novel features focusing on allosteric regulation
    • Huang Z., et al. ASD v2.0: updated content and novel features focusing on allosteric regulation. Nucleic Acids Res. 2014, 42:D510-D516.
    • (2014) Nucleic Acids Res. , vol.42 , pp. D510-D516
    • Huang, Z.1
  • 90
    • 78149498161 scopus 로고    scopus 로고
    • Extensive in vivo metabolite-protein interactions revealed by large-scale systematic analyses
    • Li X., et al. Extensive in vivo metabolite-protein interactions revealed by large-scale systematic analyses. Cell 2010, 143:639-650.
    • (2010) Cell , vol.143 , pp. 639-650
    • Li, X.1
  • 91
    • 78649853031 scopus 로고    scopus 로고
    • A systematic screen for protein-lipid interactions in Saccharomyces cerevisiae
    • Gallego O., et al. A systematic screen for protein-lipid interactions in Saccharomyces cerevisiae. Mol. Syst. Biol. 2010, 6:430.
    • (2010) Mol. Syst. Biol. , vol.6 , pp. 430
    • Gallego, O.1
  • 92
    • 84908384021 scopus 로고    scopus 로고
    • Global analysis of protein structural changes in complex proteomes
    • Feng Y., et al. Global analysis of protein structural changes in complex proteomes. Nat. Biotechnol. 2014, 32:1036-1044.
    • (2014) Nat. Biotechnol. , vol.32 , pp. 1036-1044
    • Feng, Y.1
  • 93
    • 0034628508 scopus 로고    scopus 로고
    • A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae
    • Uetz P., et al. A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae. Nature 2000, 403:623-627.
    • (2000) Nature , vol.403 , pp. 623-627
    • Uetz, P.1
  • 94
    • 0034614678 scopus 로고    scopus 로고
    • Protein interaction mapping in C. elegans using proteins involved in vulval development
    • Walhout A.J., et al. Protein interaction mapping in C. elegans using proteins involved in vulval development. Science 2000, 287:116-122.
    • (2000) Science , vol.287 , pp. 116-122
    • Walhout, A.J.1
  • 95
    • 0033974688 scopus 로고    scopus 로고
    • Toward a protein-protein interaction map of the budding yeast: a comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins
    • Ito T., et al. Toward a protein-protein interaction map of the budding yeast: a comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins. Proc. Natl. Acad. Sci. U.S.A. 2000, 97:1143-1147.
    • (2000) Proc. Natl. Acad. Sci. U.S.A. , vol.97 , pp. 1143-1147
    • Ito, T.1
  • 96
    • 0035836765 scopus 로고    scopus 로고
    • A comprehensive two-hybrid analysis to explore the yeast protein interactome
    • Ito T., et al. A comprehensive two-hybrid analysis to explore the yeast protein interactome. Proc. Natl. Acad. Sci. U.S.A. 2001, 98:4569-4574.
    • (2001) Proc. Natl. Acad. Sci. U.S.A. , vol.98 , pp. 4569-4574
    • Ito, T.1
  • 97
    • 57749180003 scopus 로고    scopus 로고
    • Integrative biology - a strategy for systems biomedicine
    • Liu E.T. Integrative biology - a strategy for systems biomedicine. Nat. Rev. Genet. 2009, 10:64-68.
    • (2009) Nat. Rev. Genet. , vol.10 , pp. 64-68
    • Liu, E.T.1
  • 98
    • 84864821939 scopus 로고    scopus 로고
    • From systems biology to systems biomedicine
    • Antony P.M., et al. From systems biology to systems biomedicine. Curr. Opin. Biotechnol. 2012, 23:604-608.
    • (2012) Curr. Opin. Biotechnol. , vol.23 , pp. 604-608
    • Antony, P.M.1
  • 99
    • 33747620519 scopus 로고    scopus 로고
    • Systems biology and combination therapy in the quest for clinical efficacy
    • Fitzgerald J.B., et al. Systems biology and combination therapy in the quest for clinical efficacy. Nat. Chem. Biol. 2006, 2:458-466.
    • (2006) Nat. Chem. Biol. , vol.2 , pp. 458-466
    • Fitzgerald, J.B.1
  • 100
    • 33847377573 scopus 로고    scopus 로고
    • A robustness-based approach to systems-oriented drug design
    • Kitano H. A robustness-based approach to systems-oriented drug design. Nat. Rev. Drug Discov. 2007, 6:202-210.
    • (2007) Nat. Rev. Drug Discov. , vol.6 , pp. 202-210
    • Kitano, H.1
  • 101
    • 84861229241 scopus 로고    scopus 로고
    • Systems biology and emerging technologies will catalyze the transition from reactive medicine to predictive, personalized, preventive and participatory (P4) medicine
    • Galas D.J., Hood L. Systems biology and emerging technologies will catalyze the transition from reactive medicine to predictive, personalized, preventive and participatory (P4) medicine. Interdiscip. Biol. Central 2009, 1:6.
    • (2009) Interdiscip. Biol. Central , vol.1 , pp. 6
    • Galas, D.J.1    Hood, L.2
  • 102
    • 78650323671 scopus 로고    scopus 로고
    • Predictive, preventive, personalized and participatory medicine: back to the future
    • Auffray C., et al. Predictive, preventive, personalized and participatory medicine: back to the future. Genome Med. 2010, 2:57.
    • (2010) Genome Med. , vol.2 , pp. 57
    • Auffray, C.1
  • 103
    • 77957242301 scopus 로고    scopus 로고
    • Consumer perceptions of direct-to-consumer personalized genomic risk assessments
    • Bloss C.S., et al. Consumer perceptions of direct-to-consumer personalized genomic risk assessments. Genetics Med. 2010, 12:556-566.
    • (2010) Genetics Med. , vol.12 , pp. 556-566
    • Bloss, C.S.1
  • 104
    • 84863457092 scopus 로고    scopus 로고
    • What is personalized medicine and what should it replace?
    • Whitcomb D.C. What is personalized medicine and what should it replace?. Nat. Rev. Gastroenterol. Hepatol. 2012, 9:418-424.
    • (2012) Nat. Rev. Gastroenterol. Hepatol. , vol.9 , pp. 418-424
    • Whitcomb, D.C.1
  • 105
    • 84857190262 scopus 로고    scopus 로고
    • Human genetic susceptibility to infectious disease
    • Chapman S.J., Hill A.V.S. Human genetic susceptibility to infectious disease. Nat. Rev. Genet. 2012, 13:175-188.
    • (2012) Nat. Rev. Genet. , vol.13 , pp. 175-188
    • Chapman, S.J.1    Hill, A.V.S.2
  • 106
    • 79951521421 scopus 로고    scopus 로고
    • Progress and promise of genome-wide association studies for human complex trait genetics
    • Stranger B.E., et al. Progress and promise of genome-wide association studies for human complex trait genetics. Genetics 2011, 187:367-383.
    • (2011) Genetics , vol.187 , pp. 367-383
    • Stranger, B.E.1
  • 107
    • 84896732939 scopus 로고    scopus 로고
    • Methylome-wide association study of schizophrenia: identifying blood biomarker signatures of environmental insults
    • Aberg K.A., et al. Methylome-wide association study of schizophrenia: identifying blood biomarker signatures of environmental insults. JAMA Psychiatry 2014, 71:255-264.
    • (2014) JAMA Psychiatry , vol.71 , pp. 255-264
    • Aberg, K.A.1
  • 108
    • 77749314560 scopus 로고    scopus 로고
    • On the general theory of the origins of retroviruses
    • Wayengera M. On the general theory of the origins of retroviruses. Theor. Biol. Med. Model. 2010, 7:5.
    • (2010) Theor. Biol. Med. Model. , vol.7 , pp. 5
    • Wayengera, M.1
  • 109
    • 43749087841 scopus 로고    scopus 로고
    • Human metabolic phenotype diversity and its association with diet and blood pressure
    • Holmes E., et al. Human metabolic phenotype diversity and its association with diet and blood pressure. Nature 2008, 453:396-400.
    • (2008) Nature , vol.453 , pp. 396-400
    • Holmes, E.1
  • 110
    • 84892484894 scopus 로고    scopus 로고
    • Contextual inhibition of fatty acid synthesis by metformin involves glucose-derived acetyl-CoA and cholesterol in pancreatic tumor cells
    • Cantoria M.J., et al. Contextual inhibition of fatty acid synthesis by metformin involves glucose-derived acetyl-CoA and cholesterol in pancreatic tumor cells. Metabolomics 2014, 10:91-104.
    • (2014) Metabolomics , vol.10 , pp. 91-104
    • Cantoria, M.J.1
  • 111
    • 84867074831 scopus 로고    scopus 로고
    • A metagenome-wide association study of gut microbiota in type 2 diabetes
    • Qin J., et al. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature 2012, 490:55-60.
    • (2012) Nature , vol.490 , pp. 55-60
    • Qin, J.1
  • 112
    • 84869876493 scopus 로고    scopus 로고
    • A nutrient-wide association study on blood pressure
    • Tzoulaki I., et al. A nutrient-wide association study on blood pressure. Circulation 2012, 126:2456-2464.
    • (2012) Circulation , vol.126 , pp. 2456-2464
    • Tzoulaki, I.1
  • 113
    • 77953886372 scopus 로고    scopus 로고
    • An environment-wide association study (EWAS) on type 2 diabetes mellitus
    • Patel C.J., et al. An environment-wide association study (EWAS) on type 2 diabetes mellitus. PLoS ONE 2010, 5:e10746.
    • (2010) PLoS ONE , vol.5
    • Patel, C.J.1
  • 114
    • 84873488838 scopus 로고    scopus 로고
    • Phenome-wide association study (PheWAS) for detection of pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network
    • Pendergrass S.A., et al. Phenome-wide association study (PheWAS) for detection of pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network. PLoS Genet. 2013, 9:e1003087.
    • (2013) PLoS Genet. , vol.9
    • Pendergrass, S.A.1
  • 115
    • 0037177625 scopus 로고    scopus 로고
    • Genetic dissection of transcriptional regulation in budding yeast
    • Brem R.B., et al. Genetic dissection of transcriptional regulation in budding yeast. Science 2002, 296:752-755.
    • (2002) Science , vol.296 , pp. 752-755
    • Brem, R.B.1
  • 116
    • 34548719076 scopus 로고    scopus 로고
    • Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes
    • Goring H.H., et al. Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes. Nat. Genet. 2007, 39:1208-1216.
    • (2007) Nat. Genet. , vol.39 , pp. 1208-1216
    • Goring, H.H.1
  • 117
    • 35648969195 scopus 로고    scopus 로고
    • Genetic basis of proteome variation in yeast
    • Foss E.J., et al. Genetic basis of proteome variation in yeast. Nat. Genet. 2007, 39:1369-1375.
    • (2007) Nat. Genet. , vol.39 , pp. 1369-1375
    • Foss, E.J.1
  • 118
    • 84873724658 scopus 로고    scopus 로고
    • A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis
    • Picotti P., et al. A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis. Nature 2013, 494:266-270.
    • (2013) Nature , vol.494 , pp. 266-270
    • Picotti, P.1
  • 119
    • 34247560771 scopus 로고    scopus 로고
    • Direct quantitative trait locus mapping of mammalian metabolic phenotypes in diabetic and normoglycemic rat models
    • Dumas M.E., et al. Direct quantitative trait locus mapping of mammalian metabolic phenotypes in diabetic and normoglycemic rat models. Nat. Genet. 2007, 39:666-672.
    • (2007) Nat. Genet. , vol.39 , pp. 666-672
    • Dumas, M.E.1
  • 120
    • 75749134031 scopus 로고    scopus 로고
    • A genome-wide perspective of genetic variation in human metabolism
    • Illig T., et al. A genome-wide perspective of genetic variation in human metabolism. Nat. Genet. 2010, 42:137-141.
    • (2010) Nat. Genet. , vol.42 , pp. 137-141
    • Illig, T.1
  • 121
    • 84908099654 scopus 로고    scopus 로고
    • Insights into obesity and diabetes at the intersection of mouse and human genetics
    • Kebede M.A., Attie A.D. Insights into obesity and diabetes at the intersection of mouse and human genetics. Trends Endocrinol. Metab. 2014, 25:493-501.
    • (2014) Trends Endocrinol. Metab. , vol.25 , pp. 493-501
    • Kebede, M.A.1    Attie, A.D.2
  • 122
    • 84896507396 scopus 로고    scopus 로고
    • Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights
    • Wen W., et al. Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights. Nat. Commun. 2014, 5:3438.
    • (2014) Nat. Commun. , vol.5 , pp. 3438
    • Wen, W.1
  • 123
    • 84861875050 scopus 로고    scopus 로고
    • Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize
    • Riedelsheimer C., et al. Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize. Proc. Natl. Acad. Sci. U.S.A. 2012, 109:8872-8877.
    • (2012) Proc. Natl. Acad. Sci. U.S.A. , vol.109 , pp. 8872-8877
    • Riedelsheimer, C.1
  • 124
    • 78549251736 scopus 로고    scopus 로고
    • Analysing biological pathways in genome-wide association studies
    • Wang K., et al. Analysing biological pathways in genome-wide association studies. Nat. Rev. Genet. 2010, 11:843-854.
    • (2010) Nat. Rev. Genet. , vol.11 , pp. 843-854
    • Wang, K.1
  • 125
    • 84908655447 scopus 로고    scopus 로고
    • Genetic architecture of type 2 diabetes
    • Hara K., et al. Genetic architecture of type 2 diabetes. Biochem. Biophys. Res. Commun. 2014, 452:213-220.
    • (2014) Biochem. Biophys. Res. Commun. , vol.452 , pp. 213-220
    • Hara, K.1
  • 126
    • 84865154374 scopus 로고    scopus 로고
    • Genotype-phenotype mapping in a post-GWAS world
    • Nuzhdin S.V., et al. Genotype-phenotype mapping in a post-GWAS world. Trends Genet. 2012, 28:421-426.
    • (2012) Trends Genet. , vol.28 , pp. 421-426
    • Nuzhdin, S.V.1
  • 127
    • 84864402194 scopus 로고    scopus 로고
    • Leveraging models of cell regulation and GWAS data in integrative network-based association studies
    • Califano A., et al. Leveraging models of cell regulation and GWAS data in integrative network-based association studies. Nat. Genet. 2012, 44:841-847.
    • (2012) Nat. Genet. , vol.44 , pp. 841-847
    • Califano, A.1
  • 128
    • 67650865944 scopus 로고    scopus 로고
    • Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease
    • Dobrin R., et al. Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease. Genome Biol. 2009, 10:R55.
    • (2009) Genome Biol. , vol.10 , pp. R55
    • Dobrin, R.1
  • 129
    • 84866420982 scopus 로고    scopus 로고
    • Systems genetics of metabolism: the use of the BXD murine reference panel for multiscalar integration of traits
    • Andreux P.A., et al. Systems genetics of metabolism: the use of the BXD murine reference panel for multiscalar integration of traits. Cell 2012, 150:1287-1299.
    • (2012) Cell , vol.150 , pp. 1287-1299
    • Andreux, P.A.1
  • 130
    • 84858433310 scopus 로고    scopus 로고
    • Personal omics profiling reveals dynamic molecular and medical phenotypes
    • Chen R., et al. Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell 2012, 148:1293-1307.
    • (2012) Cell , vol.148 , pp. 1293-1307
    • Chen, R.1
  • 131
    • 84861860481 scopus 로고    scopus 로고
    • Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis
    • O111.016717
    • Gillet L.C., et al. Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis. Mol. Cell. Proteomics 2012, 11. O111.016717.
    • (2012) Mol. Cell. Proteomics , vol.11
    • Gillet, L.C.1
  • 132
    • 67349266694 scopus 로고    scopus 로고
    • Universal sample preparation method for proteome analysis
    • Wisniewski J.R., et al. Universal sample preparation method for proteome analysis. Nat. Methods 2009, 6:359-362.
    • (2009) Nat. Methods , vol.6 , pp. 359-362
    • Wisniewski, J.R.1
  • 133
    • 84930642844 scopus 로고    scopus 로고
    • Posttranslational regulation of microbial metabolism
    • Kochanowski K., et al. Posttranslational regulation of microbial metabolism. Curr. Opin. Microbiol. 2015, 27:10-17.
    • (2015) Curr. Opin. Microbiol. , vol.27 , pp. 10-17
    • Kochanowski, K.1
  • 134
    • 79551712199 scopus 로고    scopus 로고
    • Metabolomic approaches toward understanding nitrogen metabolism in plants
    • Kusano M., et al. Metabolomic approaches toward understanding nitrogen metabolism in plants. J. Exp. Bot. 2011, 62:1439-1453.
    • (2011) J. Exp. Bot. , vol.62 , pp. 1439-1453
    • Kusano, M.1
  • 135
    • 0037032835 scopus 로고    scopus 로고
    • The protein kinase complement of the human genome
    • Manning G., et al. The protein kinase complement of the human genome. Science 2002, 298:1912-1934.
    • (2002) Science , vol.298 , pp. 1912-1934
    • Manning, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.