메뉴 건너뛰기




Volumn 19, Issue 2, 2014, Pages 183-192

Case study: The role of mechanistic network models in systems toxicology

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; CIGARETTE SMOKE;

EID: 84895918030     PISSN: 13596446     EISSN: 18785832     Source Type: Journal    
DOI: 10.1016/j.drudis.2013.07.023     Document Type: Review
Times cited : (64)

References (77)
  • 2
    • 79952851109 scopus 로고    scopus 로고
    • New directions in toxicity testing
    • D. Krewski et al. New directions in toxicity testing Annu. Rev. Public Health 32 2011 161 178
    • (2011) Annu. Rev. Public Health , vol.32 , pp. 161-178
    • Krewski, D.1
  • 3
    • 79959310697 scopus 로고    scopus 로고
    • Toxicity testing in the 21 century: Defining new risk assessment approaches based on perturbation of intracellular toxicity pathways
    • S. Bhattacharya et al. Toxicity testing in the 21 century: defining new risk assessment approaches based on perturbation of intracellular toxicity pathways PLoS ONE 6 2011 e20887
    • (2011) PLoS ONE , vol.6 , pp. 20887
    • Bhattacharya, S.1
  • 4
    • 84859082867 scopus 로고    scopus 로고
    • Identification and characterization of adverse effects in 21st century toxicology
    • D.A. Keller et al. Identification and characterization of adverse effects in 21st century toxicology Toxicol. Sci. 126 2012 291 297
    • (2012) Toxicol. Sci. , vol.126 , pp. 291-297
    • Keller, D.A.1
  • 5
    • 0037186905 scopus 로고    scopus 로고
    • In vitro preclinical lead optimisation technologies (PLOTs) in pharmaceutical development
    • C.K. Atterwill, and M.G. Wing In vitro preclinical lead optimisation technologies (PLOTs) in pharmaceutical development Toxicol. Lett. 127 2002 143 151
    • (2002) Toxicol. Lett. , vol.127 , pp. 143-151
    • Atterwill, C.K.1    Wing, M.G.2
  • 6
    • 57149092133 scopus 로고    scopus 로고
    • Inferring pathway activity toward precise disease classification
    • E. Lee et al. Inferring pathway activity toward precise disease classification PLoS Comput. Biol. 4 2008 e1000217
    • (2008) PLoS Comput. Biol. , vol.4 , pp. 1000217
    • Lee, E.1
  • 7
    • 84860698978 scopus 로고    scopus 로고
    • A network-based approach to quantifying the impact of biologically active substances
    • J. Hoeng et al. A network-based approach to quantifying the impact of biologically active substances Drug Discov. Today 17 2012 413 418
    • (2012) Drug Discov. Today , vol.17 , pp. 413-418
    • Hoeng, J.1
  • 8
    • 33749335282 scopus 로고    scopus 로고
    • The Connectivity Map: Using gene-expression signatures to connect small molecules, genes, and disease
    • J. Lamb et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease Sci. Signal. 313 2006 1929
    • (2006) Sci. Signal. , vol.313 , pp. 1929
    • Lamb, J.1
  • 9
    • 77957044703 scopus 로고    scopus 로고
    • Discovery of drug mode of action and drug repositioning from transcriptional responses
    • F. Iorio et al. Discovery of drug mode of action and drug repositioning from transcriptional responses Proc. Natl. Acad. Sci. U. S. A. 107 2010 14621 14626
    • (2010) Proc. Natl. Acad. Sci. U. S. A. , vol.107 , pp. 14621-14626
    • Iorio, F.1
  • 10
    • 84894557576 scopus 로고    scopus 로고
    • Divergence weighted independence graphs for the exploratory analysis of biological expression data
    • 10.4172/2157-7420 S2-001
    • Y. Xiang et al. Divergence weighted independence graphs for the exploratory analysis of biological expression data J. Health Med. Inform. S2 2011 10.4172/2157-7420 S2-001
    • (2011) J. Health Med. Inform. , vol.2 S
    • Xiang, Y.1
  • 11
    • 84874715571 scopus 로고    scopus 로고
    • Biological network inference for drug discovery
    • P. Lecca, and C. Priami Biological network inference for drug discovery Drug Discov. Today 18 2013 256 264
    • (2013) Drug Discov. Today , vol.18 , pp. 256-264
    • Lecca, P.1    Priami, C.2
  • 12
    • 77950910419 scopus 로고    scopus 로고
    • Revealing strengths and weaknesses of methods for gene network inference
    • D. Marbach et al. Revealing strengths and weaknesses of methods for gene network inference Proc. Natl. Acad. Sci. U. S. A. 107 2010 6286 6291
    • (2010) Proc. Natl. Acad. Sci. U. S. A. , vol.107 , pp. 6286-6291
    • Marbach, D.1
  • 13
    • 0036081347 scopus 로고    scopus 로고
    • MIPS: A database for genomes and protein sequences
    • H.-W. Mewes et al. MIPS: a database for genomes and protein sequences Nucleic Acids Res. 30 2002 31 34
    • (2002) Nucleic Acids Res. , vol.30 , pp. 31-34
    • Mewes, H.-W.1
  • 14
    • 0036088133 scopus 로고    scopus 로고
    • DIP, the Database of Interacting Proteins: A research tool for studying cellular networks of protein interactions
    • I. Xenarios et al. DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions Nucleic Acids Res. 30 2002 303 305
    • (2002) Nucleic Acids Res. , vol.30 , pp. 303-305
    • Xenarios, I.1
  • 15
    • 33846073818 scopus 로고    scopus 로고
    • MINT: The Molecular Interaction Database
    • A. Chatr-Aryamontri et al. MINT: the Molecular Interaction Database Nucleic Acids Res. 35 2007 D572 D574
    • (2007) Nucleic Acids Res. , vol.35
    • Chatr-Aryamontri, A.1
  • 16
    • 9144248312 scopus 로고    scopus 로고
    • IntAct: An open source molecular interaction database
    • H. Hermjakob et al. IntAct: an open source molecular interaction database Nucleic Acids Res. 32 2004 D452 D455
    • (2004) Nucleic Acids Res. , vol.32
    • Hermjakob, H.1
  • 17
    • 21044456097 scopus 로고    scopus 로고
    • Biomolecular interaction network database
    • D. Gilbert Biomolecular interaction network database Brief Bioinform. 6 2005 194 198
    • (2005) Brief Bioinform. , vol.6 , pp. 194-198
    • Gilbert, D.1
  • 18
    • 58149305794 scopus 로고    scopus 로고
    • An empirical framework for binary interactome mapping
    • K. Venkatesan et al. An empirical framework for binary interactome mapping Nat. Methods 6 2008 83 90
    • (2008) Nat. Methods , vol.6 , pp. 83-90
    • Venkatesan, K.1
  • 19
    • 84873298120 scopus 로고    scopus 로고
    • A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity
    • C. Lei, and J. Ruan A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity Bioinformatics 29 2013 355 364
    • (2013) Bioinformatics , vol.29 , pp. 355-364
    • Lei, C.1    Ruan, J.2
  • 20
    • 78751662180 scopus 로고    scopus 로고
    • Reverse engineering of metabolic networks, a critical assessment
    • D.M. Hendrickx et al. Reverse engineering of metabolic networks, a critical assessment Mol. Biosyst. 7 2011 511 520
    • (2011) Mol. Biosyst. , vol.7 , pp. 511-520
    • Hendrickx, D.M.1
  • 21
    • 0032919364 scopus 로고    scopus 로고
    • KEGG: Kyoto encyclopedia of genes and genomes
    • H. Ogata et al. KEGG: Kyoto encyclopedia of genes and genomes Nucleic Acids Res. 27 1999 29 34
    • (1999) Nucleic Acids Res. , vol.27 , pp. 29-34
    • Ogata, H.1
  • 22
    • 77951612556 scopus 로고    scopus 로고
    • BiGG: A biochemical genetic and genomic knowledgebase of large scale metabolic reconstructions
    • J. Schellenberger BiGG: a biochemical genetic and genomic knowledgebase of large scale metabolic reconstructions BMC Bioinformatics 11 2010 213
    • (2010) BMC Bioinformatics , vol.11 , pp. 213
    • Schellenberger, J.-A.1
  • 23
    • 84864628515 scopus 로고    scopus 로고
    • Network analysis has diverse roles in drug discovery
    • S. Hasan et al. Network analysis has diverse roles in drug discovery Drug Discov. Today 17 2012 869 874
    • (2012) Drug Discov. Today , vol.17 , pp. 869-874
    • Hasan, S.1
  • 24
    • 35148838537 scopus 로고    scopus 로고
    • Drug-target network
    • M.A. YIldIrIm et al. Drug-target network Nat. Biotechnol. 25 2007 1119
    • (2007) Nat. Biotechnol. , vol.25 , pp. 1119
    • Yildirim, M.A.1
  • 25
    • 54249155522 scopus 로고    scopus 로고
    • Network pharmacology: The next paradigm in drug discovery
    • A.L. Hopkins Network pharmacology: the next paradigm in drug discovery Nat. Chem. Biol. 4 2008 682 690
    • (2008) Nat. Chem. Biol. , vol.4 , pp. 682-690
    • Hopkins, A.L.1
  • 26
    • 33644873677 scopus 로고    scopus 로고
    • Pathguide: A pathway resource list
    • G.D. Bader et al. Pathguide: a pathway resource list Nucleic Acids Res. 34 2006 D504 D506
    • (2006) Nucleic Acids Res. , vol.34
    • Bader, G.D.1
  • 27
    • 77956664073 scopus 로고    scopus 로고
    • The BioPAX community standard for pathway data sharing
    • E. Demir et al. The BioPAX community standard for pathway data sharing Nat. Biotechnol. 28 2010 935 942
    • (2010) Nat. Biotechnol. , vol.28 , pp. 935-942
    • Demir, E.1
  • 28
    • 84884695502 scopus 로고    scopus 로고
    • Quantitative assessment of biological impact using transcriptomic data and mechanistic network models
    • T.M. Thomson et al. Quantitative assessment of biological impact using transcriptomic data and mechanistic network models Toxicol. Appl. Pharmacol. 2013
    • (2013) Toxicol. Appl. Pharmacol.
    • Thomson, T.M.1
  • 29
    • 84861643512 scopus 로고    scopus 로고
    • Assessment of network perturbation amplitude by applying high-throughput data to causal biological networks
    • F. Martin et al. Assessment of network perturbation amplitude by applying high-throughput data to causal biological networks BMC Syst. Biol. 6 2012 54
    • (2012) BMC Syst. Biol. , vol.6 , pp. 54
    • Martin, F.1
  • 30
    • 80054106639 scopus 로고    scopus 로고
    • A computable cellular stress network model for non-diseased pulmonary and cardiovascular tissue
    • W.K. Schlage et al. A computable cellular stress network model for non-diseased pulmonary and cardiovascular tissue BMC Syst. Biol. 5 2011 168
    • (2011) BMC Syst. Biol. , vol.5 , pp. 168
    • Schlage, W.K.1
  • 31
    • 84874921123 scopus 로고    scopus 로고
    • Construction of a computable network model for DNA damage, autophagy, cell death, and senescence
    • S. Gebel et al. Construction of a computable network model for DNA damage, autophagy, cell death, and senescence Bioinform. Biol. Insights 7 2013 97 117
    • (2013) Bioinform. Biol. Insights , vol.7 , pp. 97-117
    • Gebel, S.1
  • 32
    • 84887870659 scopus 로고    scopus 로고
    • Reverse causal reasoning: Applying qualitative causal knowledge to the interpretation of high-throughput data
    • N.L. Catlett et al. Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data BMC Bioinformatics 2013
    • (2013) BMC Bioinformatics
    • Catlett, N.L.1
  • 33
    • 84858983547 scopus 로고    scopus 로고
    • KEGG for integration and interpretation of large-scale molecular data sets
    • M. Kanehisa et al. KEGG for integration and interpretation of large-scale molecular data sets Nucleic Acids Res. 40 2012 D109 D114
    • (2012) Nucleic Acids Res. , vol.40
    • Kanehisa, M.1
  • 34
    • 79551587720 scopus 로고    scopus 로고
    • Cytoscape 2.8: New features for data integration and network visualization
    • M.E. Smoot et al. Cytoscape 2.8: new features for data integration and network visualization Bioinformatics 27 2011 431 432
    • (2011) Bioinformatics , vol.27 , pp. 431-432
    • Smoot, M.E.1
  • 35
    • 30144432574 scopus 로고    scopus 로고
    • Substrate specificity of human hepatic Udp-glucuronosyltransferases
    • B. Burchell et al. Substrate specificity of human hepatic Udp-glucuronosyltransferases Methods Enzymol. 400 2005 46 57
    • (2005) Methods Enzymol. , vol.400 , pp. 46-57
    • Burchell, B.1
  • 36
    • 0034973773 scopus 로고    scopus 로고
    • Common and uncommon cytochrome P450 reactions related to metabolism and chemical toxicity
    • F.P. Guengerich Common and uncommon cytochrome P450 reactions related to metabolism and chemical toxicity Chem. Res. Toxicol. 14 2001 611 650
    • (2001) Chem. Res. Toxicol. , vol.14 , pp. 611-650
    • Guengerich, F.P.1
  • 37
    • 0037152628 scopus 로고    scopus 로고
    • Tobacco smoke carcinogens, DNA damage and p 53 mutations in smoking-associated cancers
    • G.P. Pfeifer et al. Tobacco smoke carcinogens, DNA damage and p 53 mutations in smoking-associated cancers Oncogene 21 2002 7435 7451
    • (2002) Oncogene , vol.21 , pp. 7435-7451
    • Pfeifer, G.P.1
  • 38
    • 0031595916 scopus 로고    scopus 로고
    • Metabolism of benzo[a]pyrene and benzo[a]pyrene-7,8-diol by human cytochrome P450 1B1
    • J.H. Kim et al. Metabolism of benzo[a]pyrene and benzo[a]pyrene-7,8-diol by human cytochrome P450 1B1 Carcinogenesis 19 1998 1847 1853
    • (1998) Carcinogenesis , vol.19 , pp. 1847-1853
    • Kim, J.H.1
  • 39
    • 0034059311 scopus 로고    scopus 로고
    • Expression of CYP1A1, CYP1B1 and CYP3A, and polycyclic aromatic hydrocarbon-DNA adduct formation in bronchoalveolar macrophages of smokers and non-smokers
    • R. Piipari et al. Expression of CYP1A1, CYP1B1 and CYP3A, and polycyclic aromatic hydrocarbon-DNA adduct formation in bronchoalveolar macrophages of smokers and non-smokers Int. J. Cancer 86 2000 610 616
    • (2000) Int. J. Cancer , vol.86 , pp. 610-616
    • Piipari, R.1
  • 40
    • 0025115875 scopus 로고
    • Influence of cigarette smoking on the levels of DNA adducts in human bronchial epithelium and white blood cells
    • D.H. Phillips et al. Influence of cigarette smoking on the levels of DNA adducts in human bronchial epithelium and white blood cells Int. J. Cancer 46 1990 569 575
    • (1990) Int. J. Cancer , vol.46 , pp. 569-575
    • Phillips, D.H.1
  • 41
    • 36049049383 scopus 로고    scopus 로고
    • Effect of active smoking on the human bronchial epithelium transcriptome
    • R. Chari et al. Effect of active smoking on the human bronchial epithelium transcriptome BMC Genomics 8 2007 297
    • (2007) BMC Genomics , vol.8 , pp. 297
    • Chari, R.1
  • 42
    • 3042719079 scopus 로고    scopus 로고
    • Effects of cigarette smoke on the human airway epithelial cell transcriptome
    • A. Spira et al. Effects of cigarette smoke on the human airway epithelial cell transcriptome Proc. Natl. Acad. Sci. U. S. A. 101 2004 10143 10148
    • (2004) Proc. Natl. Acad. Sci. U. S. A. , vol.101 , pp. 10143-10148
    • Spira, A.1
  • 43
    • 0028276386 scopus 로고
    • Complete cDNA sequence of a human dioxin-inducible mRNA identifies a new gene subfamily of cytochrome P450 that maps to chromosome 2
    • T.R. Sutter et al. Complete cDNA sequence of a human dioxin-inducible mRNA identifies a new gene subfamily of cytochrome P450 that maps to chromosome 2 J. Biol. Chem. 269 1994 13092 13099
    • (1994) J. Biol. Chem. , vol.269 , pp. 13092-13099
    • Sutter, T.R.1
  • 44
    • 0030008731 scopus 로고    scopus 로고
    • Activation of chemically diverse procarcinogens by human cytochrome P-450 1B1
    • T. Shimada et al. Activation of chemically diverse procarcinogens by human cytochrome P-450 1B1 Cancer Res. 56 1996 2979 2984
    • (1996) Cancer Res. , vol.56 , pp. 2979-2984
    • Shimada, T.1
  • 45
    • 20144387888 scopus 로고    scopus 로고
    • Overexpression of the aldo-keto reductase family protein AKR1B10 is highly correlated with smokers' non-small cell lung carcinomas
    • S. Fukumoto et al. Overexpression of the aldo-keto reductase family protein AKR1B10 is highly correlated with smokers' non-small cell lung carcinomas Clin. Cancer Res. 11 2005 1776 1785
    • (2005) Clin. Cancer Res. , vol.11 , pp. 1776-1785
    • Fukumoto, S.1
  • 46
    • 0347927399 scopus 로고    scopus 로고
    • Glutathione S-transferases and aromatic DNA adducts in smokers' bronchoalveolar macrophages
    • R. Piipari et al. Glutathione S-transferases and aromatic DNA adducts in smokers' bronchoalveolar macrophages Lung Cancer 39 2003 265 272
    • (2003) Lung Cancer , vol.39 , pp. 265-272
    • Piipari, R.1
  • 47
    • 79957822290 scopus 로고    scopus 로고
    • Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq
    • J. Beane et al. Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq Cancer Prev. Res. (Phila.) 4 2011 803 817
    • (2011) Cancer Prev. Res. (Phila.) , vol.4 , pp. 803-817
    • Beane, J.1
  • 48
    • 1242307956 scopus 로고    scopus 로고
    • Gene expression profiling in respiratory tissues from rats exposed to mainstream cigarette smoke
    • S. Gebel et al. Gene expression profiling in respiratory tissues from rats exposed to mainstream cigarette smoke Carcinogenesis 25 2004 169 178
    • (2004) Carcinogenesis , vol.25 , pp. 169-178
    • Gebel, S.1
  • 49
    • 33748753955 scopus 로고    scopus 로고
    • The kinetics of transcriptomic changes induced by cigarette smoke in rat lungs reveals a specific program of defense, inflammation, and circadian clock gene expression
    • S. Gebel et al. The kinetics of transcriptomic changes induced by cigarette smoke in rat lungs reveals a specific program of defense, inflammation, and circadian clock gene expression Toxicol. Sci. 93 2006 422 431
    • (2006) Toxicol. Sci. , vol.93 , pp. 422-431
    • Gebel, S.1
  • 51
    • 38849107498 scopus 로고    scopus 로고
    • Reversible and permanent effects of tobacco smoke exposure on airway epithelial gene expression
    • J. Beane et al. Reversible and permanent effects of tobacco smoke exposure on airway epithelial gene expression Genome Biol. 8 2007 R201
    • (2007) Genome Biol. , vol.8 , pp. 201
    • Beane, J.1
  • 52
    • 60549084170 scopus 로고    scopus 로고
    • MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium
    • F. Schembri et al. MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium Proc. Natl. Acad. Sci. 106 2009 2319 2324
    • (2009) Proc. Natl. Acad. Sci. , vol.106 , pp. 2319-2324
    • Schembri, F.1
  • 53
    • 78650214523 scopus 로고    scopus 로고
    • Threshold of biologic responses of the small airway epithelium to low levels of tobacco smoke
    • Y. Strulovici-Barel et al. Threshold of biologic responses of the small airway epithelium to low levels of tobacco smoke Am. J. Respir. Crit. Care Med. 182 2010 1524
    • (2010) Am. J. Respir. Crit. Care Med. , vol.182 , pp. 1524
    • Strulovici-Barel, Y.1
  • 54
    • 84864830720 scopus 로고    scopus 로고
    • Molecular signature of smoking in human lung tissues
    • Y. Bosse et al. Molecular signature of smoking in human lung tissues Cancer Res. 72 2012 3753 3763
    • (2012) Cancer Res. , vol.72 , pp. 3753-3763
    • Bosse, Y.1
  • 55
    • 0036367311 scopus 로고    scopus 로고
    • An in vitro model of differentiated human airway epithelia
    • P.H. Karp et al. An in vitro model of differentiated human airway epithelia Methods Mol. Biol. 188 2002 115 137
    • (2002) Methods Mol. Biol. , vol.188 , pp. 115-137
    • Karp, P.H.1
  • 56
    • 34447556625 scopus 로고    scopus 로고
    • Human bronchial epithelial cell transcriptome: Gene expression changes following acute exposure to whole cigarette smoke in vitro
    • H. Maunders et al. Human bronchial epithelial cell transcriptome: gene expression changes following acute exposure to whole cigarette smoke in vitro Am. J. Physiol. Lung Cell. Mol. Physiol. 292 2007 L1248 L1256
    • (2007) Am. J. Physiol. Lung Cell. Mol. Physiol. , vol.292
    • Maunders, H.1
  • 57
    • 78650653743 scopus 로고    scopus 로고
    • The air-liquid interface and use of primary cell cultures are important to recapitulate the transcriptional profile of in vivo airway epithelia
    • A.A. Pezzulo et al. The air-liquid interface and use of primary cell cultures are important to recapitulate the transcriptional profile of in vivo airway epithelia Am. J. Physiol. Lung Cell. Mol. Physiol. 300 2011 L25 L31
    • (2011) Am. J. Physiol. Lung Cell. Mol. Physiol. , vol.300
    • Pezzulo, A.A.1
  • 58
    • 84878227954 scopus 로고    scopus 로고
    • Human bronchial epithelial cells exposed in vitro to cigarette smoke at the air-liquid interface resemble bronchial epithelium from human smokers
    • C. Mathis et al. Human bronchial epithelial cells exposed in vitro to cigarette smoke at the air-liquid interface resemble bronchial epithelium from human smokers Am. J. Physiol. Lung Cell. Mol. Physiol. 304 2013 L489 L503
    • (2013) Am. J. Physiol. Lung Cell. Mol. Physiol. , vol.304
    • Mathis, C.1
  • 59
    • 33845338724 scopus 로고    scopus 로고
    • Projections of global mortality and burden of disease from 2002 to 2030
    • C.D. Mathers, and D. Loncar Projections of global mortality and burden of disease from 2002 to 2030 PLoS Med. 3 2006 e442
    • (2006) PLoS Med. , vol.3 , pp. 442
    • Mathers, C.D.1    Loncar, D.2
  • 60
    • 42049101172 scopus 로고    scopus 로고
    • Mechanisms of cigarette smoke-induced COPD: Insights from animal models
    • A. Churg et al. Mechanisms of cigarette smoke-induced COPD: insights from animal models Am. J. Physiol. Lung Cell. Mol. Physiol. 294 2008 L612 L631
    • (2008) Am. J. Physiol. Lung Cell. Mol. Physiol. , vol.294
    • Churg, A.1
  • 61
    • 4143051640 scopus 로고    scopus 로고
    • Burden and clinical features of chronic obstructive pulmonary disease (COPD)
    • R.A. Pauwels, and K.F. Rabe Burden and clinical features of chronic obstructive pulmonary disease (COPD) Lancet 364 2004 613 620
    • (2004) Lancet , vol.364 , pp. 613-620
    • Pauwels, R.A.1    Rabe, K.F.2
  • 62
    • 34548660457 scopus 로고    scopus 로고
    • Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary
    • K.F. Rabe et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary Am. J. Respir. Crit. Care Med. 176 2007 532 555
    • (2007) Am. J. Respir. Crit. Care Med. , vol.176 , pp. 532-555
    • Rabe, K.F.1
  • 64
    • 84875224340 scopus 로고    scopus 로고
    • A new short-term mouse model of chronic obstructive pulmonary disease identifies a role for mast cell tryptase in pathogenesis
    • E.L. Beckett et al. A new short-term mouse model of chronic obstructive pulmonary disease identifies a role for mast cell tryptase in pathogenesis J. Allergy Clin. Immunol. 131 2013 752 762
    • (2013) J. Allergy Clin. Immunol. , vol.131 , pp. 752-762
    • Beckett, E.L.1
  • 65
    • 84879307956 scopus 로고    scopus 로고
    • A modular cell-type focused inflammatory process network model for non-diseased pulmonary tissue
    • J.W. Westra et al. A modular cell-type focused inflammatory process network model for non-diseased pulmonary tissue Bioinform. Biol. Insights 7 2013 167 192
    • (2013) Bioinform. Biol. Insights , vol.7 , pp. 167-192
    • Westra, J.W.1
  • 66
    • 84873810977 scopus 로고    scopus 로고
    • Lung inflammatory effects, tumorigenesis, and emphysema development in a long-term inhalation study with cigarette mainstream smoke in mice
    • W. Stinn et al. Lung inflammatory effects, tumorigenesis, and emphysema development in a long-term inhalation study with cigarette mainstream smoke in mice Toxicol. Sci. 131 2013 596 611
    • (2013) Toxicol. Sci. , vol.131 , pp. 596-611
    • Stinn, W.1
  • 67
    • 84880807708 scopus 로고    scopus 로고
    • Construction of a computable network model of tissue repair and angiogenesis in the lung
    • J.S. Park et al. Construction of a computable network model of tissue repair and angiogenesis in the lung J. Clinic. Toxicol. 2013 2013 S12 S22
    • (2013) J. Clinic. Toxicol. , vol.2013
    • Park, J.S.1
  • 68
    • 84870882114 scopus 로고    scopus 로고
    • An omics strategy for discovering pulmonary biomarkers potentially relevant to the evaluation of tobacco products
    • H. Wang et al. An omics strategy for discovering pulmonary biomarkers potentially relevant to the evaluation of tobacco products Biomarkers 6 2012 849 860
    • (2012) Biomarkers , vol.6 , pp. 849-860
    • Wang, H.1
  • 69
    • 80052730617 scopus 로고    scopus 로고
    • Verification of systems biology research in the age of collaborative competition
    • P. Meyer et al. Verification of systems biology research in the age of collaborative competition Nat. Biotechnol. 29 2011 811 815
    • (2011) Nat. Biotechnol. , vol.29 , pp. 811-815
    • Meyer, P.1
  • 70
    • 84860475570 scopus 로고    scopus 로고
    • Industrial methodology for process verification in research (IMPROVER): Toward systems biology verification
    • P. Meyer et al. Industrial methodology for process verification in research (IMPROVER): toward systems biology verification Bioinformatics 28 2012 1193 1201
    • (2012) Bioinformatics , vol.28 , pp. 1193-1201
    • Meyer, P.1
  • 71
    • 84869508905 scopus 로고    scopus 로고
    • Modulation of atherogenic lipidome by cigarette smoke in apolipoprotein E-deficient mice
    • S. Boue et al. Modulation of atherogenic lipidome by cigarette smoke in apolipoprotein E-deficient mice Atherosclerosis 225 2012 328 334
    • (2012) Atherosclerosis , vol.225 , pp. 328-334
    • Boue, S.1
  • 72
    • 84873965504 scopus 로고    scopus 로고
    • Towards the validation of a lung tumorigenesis model with mainstream cigarette smoke inhalation using the A/J mouse
    • W. Stinn et al. Towards the validation of a lung tumorigenesis model with mainstream cigarette smoke inhalation using the A/J mouse Toxicology 305 2013 49 64
    • (2013) Toxicology , vol.305 , pp. 49-64
    • Stinn, W.1
  • 75
    • 28744458859 scopus 로고    scopus 로고
    • Bioconductor: Open software development for computational biology and bioinformatics
    • R.C. Gentleman et al. Bioconductor: open software development for computational biology and bioinformatics Genome Biol. 5 2004 R80
    • (2004) Genome Biol. , vol.5 , pp. 80
    • Gentleman, R.C.1
  • 76
    • 0142121516 scopus 로고    scopus 로고
    • Exploration, normalization, and summaries of high density oligonucleotide array probe level data
    • R.A. Irizarry et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data Biostatistics 4 2003 249 264
    • (2003) Biostatistics , vol.4 , pp. 249-264
    • Irizarry, R.A.1
  • 77
    • 79959759890 scopus 로고    scopus 로고
    • Construction of a computable cell proliferation network focused on non-diseased lung cells
    • J.W. Westra et al. Construction of a computable cell proliferation network focused on non-diseased lung cells BMC Syst. Biol. 5 2011 105
    • (2011) BMC Syst. Biol. , vol.5 , pp. 105
    • Westra, J.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.