메뉴 건너뛰기




Volumn 16, Issue 8, 2016, Pages 897-913

Transcriptomics, proteomics and metabolomics driven biomarker discovery in COPD: an update

Author keywords

biomarkers; COPD; lipidomics; metabolomics; metabonomics; omics; proteomics; transcriptomics

Indexed keywords

BIOLOGICAL MARKER;

EID: 84979295891     PISSN: 14737159     EISSN: 17448352     Source Type: Journal    
DOI: 10.1080/14737159.2016.1198258     Document Type: Review
Times cited : (25)

References (111)
  • 1
    • 34547569572 scopus 로고    scopus 로고
    • Available from:, Jan •• This document is of considerable interest as it defines COPD, states problems about diagnosis, and also talks about possible treatments as accepted globally
    • Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of COPD. [updated 2010; cited 2016 Jan10]. Available from: www.goldcopd.org/uploads/users/files/GOLDReport_April112011.pdf•• This document is of considerable interest as it defines COPD, states problems about diagnosis, and also talks about possible treatments as accepted globally.
    • Global strategy for the diagnosis, management, and prevention of COPD
  • 2
    • 33846207657 scopus 로고    scopus 로고
    • Available from:, Jan
    • World Health Organization. Chronic respiratory diseases. Burden of COPD. [cited 2016 Jan10]. Available from: www.who.int/respiratory/copd/burden/en/
    • Chronic respiratory diseases. Burden of COPD
  • 3
    • 84896819086 scopus 로고    scopus 로고
    • New developments in the assessment of COPD: early diagnosis is key
    • N.G.Csikesz, E.J.Gartman New developments in the assessment of COPD: early diagnosis is key. Int J Chron Obstruct Pulmon Dis. 2014;9:277–286.
    • (2014) Int J Chron Obstruct Pulmon Dis , vol.9 , pp. 277-286
    • Csikesz, N.G.1    Gartman, E.J.2
  • 4
    • 84871392106 scopus 로고    scopus 로고
    • Significance of bioinformatics in research of chronic obstructive pulmonary disease
    • • This review paper is important as it stresses on the integrative understanding of COPD using omics and systems biology
    • H.Chen, X.Wang. Significance of bioinformatics in research of chronic obstructive pulmonary disease. J Clin Bioinforma. 2011;1:35.• This review paper is important as it stresses on the integrative understanding of COPD using omics and systems biology.
    • (2011) J Clin Bioinforma , vol.1 , pp. 35
    • Chen, H.1    Wang, X.2
  • 5
    • 77953222106 scopus 로고    scopus 로고
    • Using ‘omics’ to define pathogenesis and biomarkers of Parkinson’s disease
    • W.M.Caudle, T.K.Bammler, Y.Lin, et al. Using ‘omics’ to define pathogenesis and biomarkers of Parkinson’s disease. Expert Rev Neurother. 2010;10:925–942.
    • (2010) Expert Rev Neurother , vol.10 , pp. 925-942
    • Caudle, W.M.1    Bammler, T.K.2    Lin, Y.3
  • 6
    • 84929377217 scopus 로고    scopus 로고
    • Omics-based identification of biomarkers for nasopharyngeal carcinoma
    • T.Janvilisri. Omics-based identification of biomarkers for nasopharyngeal carcinoma. Dis Markers. 2015;2015:762128.
    • (2015) Dis Markers , vol.2015 , pp. 762128
    • Janvilisri, T.1
  • 9
    • 33846109344 scopus 로고    scopus 로고
    • Comparing and combining NMR spectroscopy and mass spectrometry in metabolomics
    • Z.Pan, D.Raftery. Comparing and combining NMR spectroscopy and mass spectrometry in metabolomics. Anal Bioanal Chem. 2007;387:525–527.
    • (2007) Anal Bioanal Chem , vol.387 , pp. 525-527
    • Pan, Z.1    Raftery, D.2
  • 10
    • 70349324702 scopus 로고    scopus 로고
    • High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
    • P.Soininen, A.J.Kangas, P.Würtz, et al. High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism. Analyst. 2009;134:1781–1785.
    • (2009) Analyst , vol.134 , pp. 1781-1785
    • Soininen, P.1    Kangas, A.J.2    Würtz, P.3
  • 11
    • 57749195712 scopus 로고    scopus 로고
    • RNA-seq: a revolutionary tool for transcriptomics
    • Z.Wang, M.Gerstein, M.Snyder. RNA-seq: a revolutionary tool for transcriptomics. Nat Rev Genet. 2009;10:57–63.
    • (2009) Nat Rev Genet , vol.10 , pp. 57-63
    • Wang, Z.1    Gerstein, M.2    Snyder, M.3
  • 12
    • 70349632392 scopus 로고    scopus 로고
    • Biomarkers of lung damage associated with tobacco smoke in induced sputum
    • A.Comandini, P.Rogliani, A.Nunziata, et al. Biomarkers of lung damage associated with tobacco smoke in induced sputum. Respir Med. 2009;103:1592–1613.
    • (2009) Respir Med , vol.103 , pp. 1592-1613
    • Comandini, A.1    Rogliani, P.2    Nunziata, A.3
  • 13
    • 33747843388 scopus 로고    scopus 로고
    • Use of proteomic patterns of serum biomarkers in patients with chronic obstructive pulmonary disease: correlation with clinical parameters
    • V.Pinto-Plata, J.Toso, K.Lee, et al. Use of proteomic patterns of serum biomarkers in patients with chronic obstructive pulmonary disease: correlation with clinical parameters. Proc Am Thorac Soc. 2006;3:465–466.
    • (2006) Proc Am Thorac Soc , vol.3 , pp. 465-466
    • Pinto-Plata, V.1    Toso, J.2    Lee, K.3
  • 14
    • 84878940718 scopus 로고    scopus 로고
    • Application of ’omics technologies to biomarker discovery in inflammatory lung diseases
    • •• This is a pioneering review paper defining the concept of omics technologies explaining the principles, limitations, and work done in each of the platforms in inflammatory lung diseases
    • C.E.Wheelock, V.M.Goss, D.Balgoma, et al. Application of ’omics technologies to biomarker discovery in inflammatory lung diseases. Eur Respir J. 2013;42:802–825.•• This is a pioneering review paper defining the concept of omics technologies explaining the principles, limitations, and work done in each of the platforms in inflammatory lung diseases.
    • (2013) Eur Respir J , vol.42 , pp. 802-825
    • Wheelock, C.E.1    Goss, V.M.2    Balgoma, D.3
  • 15
    • 79952117255 scopus 로고    scopus 로고
    • Gel-based and gel-free proteomic technologies
    • • An important paper focusing on the various tools available for proteome analysis with the advantages and disadvantages of each
    • P.Scherp, G.Ku, L.Coleman, et al. Gel-based and gel-free proteomic technologies. Methods Mol Biol. 2011;702:163–190.• An important paper focusing on the various tools available for proteome analysis with the advantages and disadvantages of each.
    • (2011) Methods Mol Biol , vol.702 , pp. 163-190
    • Scherp, P.1    Ku, G.2    Coleman, L.3
  • 16
    • 84905690900 scopus 로고    scopus 로고
    • Clinical proteomic biomarkers: relevant issues on study design & technical considerations in biomarker development
    • •• This review paper stresses on the several checkpoints between the different phases of discovery, verification, and validation of proteomic biomarkers before the establishment of valid biomarkers
    • M.Frantzi, A.Bhat, A.Latosinska. Clinical proteomic biomarkers: relevant issues on study design & technical considerations in biomarker development. Clin Transl Med. 2014;3:7.•• This review paper stresses on the several checkpoints between the different phases of discovery, verification, and validation of proteomic biomarkers before the establishment of valid biomarkers.
    • (2014) Clin Transl Med , vol.3 , pp. 7
    • Frantzi, M.1    Bhat, A.2    Latosinska, A.3
  • 17
    • 79952023211 scopus 로고    scopus 로고
    • Proteomics: challenges, techniques and possibilities to overcome biological sample complexity
    • K.Chandramouli, P.-Y.Qian, et al. Proteomics: challenges, techniques and possibilities to overcome biological sample complexity. Hum Genomics Proteomics. 2009;2009:1–22.
    • (2009) Hum Genomics Proteomics , vol.2009 , pp. 1-22
    • Chandramouli, K.1    Qian, P.-Y.2
  • 18
    • 79959736794 scopus 로고    scopus 로고
    • Identification of novel diagnostic biomarkers for asthma and chronic obstructive pulmonary disease
    • N.M.Verrills, J.A.Irwin, X.Y.He, et al. Identification of novel diagnostic biomarkers for asthma and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2011;183:1633–1643.
    • (2011) Am J Respir Crit Care Med , vol.183 , pp. 1633-1643
    • Verrills, N.M.1    Irwin, J.A.2    He, X.Y.3
  • 19
    • 77955681192 scopus 로고    scopus 로고
    • Proteomic biomarkers in plasma that differentiate rapid and slow decline in lung function in adult cigarette smokers with chronic obstructive pulmonary disease (COPD)
    • G.S.J.B.Rana, T.P.York, J.S.Edmiston, et al. Proteomic biomarkers in plasma that differentiate rapid and slow decline in lung function in adult cigarette smokers with chronic obstructive pulmonary disease (COPD). Anal Bioanal Chem. 2010;397:1809–1819.
    • (2010) Anal Bioanal Chem , vol.397 , pp. 1809-1819
    • Rana, G.S.J.B.1    York, T.P.2    Edmiston, J.S.3
  • 20
    • 84897054418 scopus 로고    scopus 로고
    • Analysis of the plasma proteome in COPD: novel low abundance proteins reflect the severity of lung remodeling
    • S.Merali, C.A.Barrero, R.P.Bowler, et al. Analysis of the plasma proteome in COPD: novel low abundance proteins reflect the severity of lung remodeling. Copd. 2014;11:177–189.
    • (2014) Copd , vol.11 , pp. 177-189
    • Merali, S.1    Barrero, C.A.2    Bowler, R.P.3
  • 21
    • 70349336549 scopus 로고    scopus 로고
    • Induced sputum: a window to lung pathology
    • B.Nicholas, R.Djukanović. Induced sputum: a window to lung pathology. Biochem Soc Trans. 2009;37:868–872.
    • (2009) Biochem Soc Trans , vol.37 , pp. 868-872
    • Nicholas, B.1    Djukanović, R.2
  • 22
    • 84901775122 scopus 로고    scopus 로고
    • Application of proteomics and peptidomics to COPD
    • G.Pelaia, R.Terracciano, A.Vatrella, et al. Application of proteomics and peptidomics to COPD. Biomed Res Int. 2014;2014:1–8.
    • (2014) Biomed Res Int , vol.2014 , pp. 1-8
    • Pelaia, G.1    Terracciano, R.2    Vatrella, A.3
  • 23
    • 84880448658 scopus 로고    scopus 로고
    • Identification of proteomic signatures associated with lung cancer and COPD
    • M.D.Pastor, A.Nogal, S.Molina-Pinelo, et al. Identification of proteomic signatures associated with lung cancer and COPD. J Proteomics. 2013;89:227–237.
    • (2013) J Proteomics , vol.89 , pp. 227-237
    • Pastor, M.D.1    Nogal, A.2    Molina-Pinelo, S.3
  • 24
    • 77953254220 scopus 로고    scopus 로고
    • Identification of lipocalin and apolipoprotein A1 as biomarkers of chronic obstructive pulmonary disease
    • B.L.Nicholas, P.Skipp, S.Barton, et al. Identification of lipocalin and apolipoprotein A1 as biomarkers of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2010;181:1049–1060.
    • (2010) Am J Respir Crit Care Med , vol.181 , pp. 1049-1060
    • Nicholas, B.L.1    Skipp, P.2    Barton, S.3
  • 25
    • 84856657257 scopus 로고    scopus 로고
    • Sputum proteomics identifies elevated PIGR levels in smokers and mild-to-moderate COPD
    • S.Ohlmeier, W.Mazur, A.Linja-Aho, et al. Sputum proteomics identifies elevated PIGR levels in smokers and mild-to-moderate COPD. J Proteome Res. 2012;11:599–608.
    • (2012) J Proteome Res , vol.11 , pp. 599-608
    • Ohlmeier, S.1    Mazur, W.2    Linja-Aho, A.3
  • 26
    • 84936076784 scopus 로고    scopus 로고
    • Elevated sputum BPIFB1 levels in smokers with chronic obstructive pulmonary disease: a longitudinal study
    • J.Gao, S.Ohlmeier, P.Nieminen, et al. Elevated sputum BPIFB1 levels in smokers with chronic obstructive pulmonary disease: a longitudinal study. Am J Physiol Lung Cell Mol Physiol. 2015;309:L17–L26.
    • (2015) Am J Physiol Lung Cell Mol Physiol , vol.309 , pp. L17-L26
    • Gao, J.1    Ohlmeier, S.2    Nieminen, P.3
  • 27
    • 79960816644 scopus 로고    scopus 로고
    • Peptidome profiling of induced sputum by mesoporous silica beads and MALDI-TOF MS for non-invasive biomarker discovery of chronic inflammatory lung diseases
    • R.Terracciano, M.Preianò, G.P.Palladino, et al. Peptidome profiling of induced sputum by mesoporous silica beads and MALDI-TOF MS for non-invasive biomarker discovery of chronic inflammatory lung diseases. Proteomics. 2011;11:3402–3414.
    • (2011) Proteomics , vol.11 , pp. 3402-3414
    • Terracciano, R.1    Preianò, M.2    Palladino, G.P.3
  • 28
    • 84955314531 scopus 로고    scopus 로고
    • Alterations in the sputum proteome and transcriptome in smokers and early-stage COPD subjects
    • B.Titz, A.Sewer, T.Schneider, et al. Alterations in the sputum proteome and transcriptome in smokers and early-stage COPD subjects. J Proteomics. 2015;128:306–320.
    • (2015) J Proteomics , vol.128 , pp. 306-320
    • Titz, B.1    Sewer, A.2    Schneider, T.3
  • 29
    • 84942012291 scopus 로고    scopus 로고
    • Protein networks in induced sputum from smokers and COPD patients
    • J.N.Baraniuk, B.Casado, L.K.Pannell, et al. Protein networks in induced sputum from smokers and COPD patients. Int J Chron Obstruct Pulmon Dis. 2015;10:1957–1975.
    • (2015) Int J Chron Obstruct Pulmon Dis , vol.10 , pp. 1957-1975
    • Baraniuk, J.N.1    Casado, B.2    Pannell, L.K.3
  • 30
    • 0035447553 scopus 로고    scopus 로고
    • Collection and analysis of exhaled breath condensate in humans
    • G.M.Mutlu, K.W.Garey, R.A.Robbins, et al. Collection and analysis of exhaled breath condensate in humans. Am J Respir Crit Care Med. 2001;164:731–737.
    • (2001) Am J Respir Crit Care Med , vol.164 , pp. 731-737
    • Mutlu, G.M.1    Garey, K.W.2    Robbins, R.A.3
  • 31
    • 0035987508 scopus 로고    scopus 로고
    • Protein pattern of exhaled breath condensate and saliva
    • M.Griese, J.Noss, C.von Bredow. Protein pattern of exhaled breath condensate and saliva. Proteomics. 2002;2:690–696.
    • (2002) Proteomics , vol.2 , pp. 690-696
    • Griese, M.1    Noss, J.2    von Bredow, C.3
  • 32
    • 78650584003 scopus 로고    scopus 로고
    • Advances in proteomic techniques for biomarker discovery in COPD
    • B.Casado, M.Luisetti, P.Iadarola, et al. Advances in proteomic techniques for biomarker discovery in COPD. Expert Rev Clin Immunol. 2011;7:111–123.
    • (2011) Expert Rev Clin Immunol , vol.7 , pp. 111-123
    • Casado, B.1    Luisetti, M.2    Iadarola, P.3
  • 33
    • 33747619654 scopus 로고    scopus 로고
    • Proteomics in pulmonary medicine
    • • One of the first review papers summarizing all work in proteomics in pulmonary diseases
    • R.P.Bowler, M.C.Ellison, N.Reisdorph. Proteomics in pulmonary medicine. Chest. 2006;130:567–574.• One of the first review papers summarizing all work in proteomics in pulmonary diseases.
    • (2006) Chest , vol.130 , pp. 567-574
    • Bowler, R.P.1    Ellison, M.C.2    Reisdorph, N.3
  • 34
    • 84870712973 scopus 로고    scopus 로고
    • Profiling the proteome of exhaled breath condensate in healthy smokers and COPD patients by LC-MS/MS
    • M.Fumagalli, F.Ferrari, M.Luisetti, et al. Profiling the proteome of exhaled breath condensate in healthy smokers and COPD patients by LC-MS/MS. Int J Mol Sci. 2012;13:13894–13910.
    • (2012) Int J Mol Sci , vol.13 , pp. 13894-13910
    • Fumagalli, M.1    Ferrari, F.2    Luisetti, M.3
  • 35
    • 84880985388 scopus 로고    scopus 로고
    • Protein composition of bronchoalveolar lavage fluid and airway surface liquid from newborn pigs
    • J.A.Bartlett, M.E.Albertolle, C.Wohlford-Lenane, et al. Protein composition of bronchoalveolar lavage fluid and airway surface liquid from newborn pigs. Am J Physiol Lung Cell Mol Physiol. 2013;305:L256–L266.
    • (2013) Am J Physiol Lung Cell Mol Physiol , vol.305 , pp. L256-L266
    • Bartlett, J.A.1    Albertolle, M.E.2    Wohlford-Lenane, C.3
  • 36
    • 49449100920 scopus 로고    scopus 로고
    • Proteomic analysis of undiluted lung epithelial lining fluid
    • E.Kipnis, K.Hansen, T.Sawa, et al. Proteomic analysis of undiluted lung epithelial lining fluid. Chest. 2008;134:338–345.
    • (2008) Chest , vol.134 , pp. 338-345
    • Kipnis, E.1    Hansen, K.2    Sawa, T.3
  • 37
    • 23044450101 scopus 로고    scopus 로고
    • Proteomic study of human bronchoalveolar lavage fluids from smokers with chronic obstructive pulmonary disease by combining surface-enhanced laser desorption/ionization-mass spectrometry profiling with mass spectrometric protein identification
    • D.Merkel, W.Rist, P.Seither, et al. Proteomic study of human bronchoalveolar lavage fluids from smokers with chronic obstructive pulmonary disease by combining surface-enhanced laser desorption/ionization-mass spectrometry profiling with mass spectrometric protein identification. Proteomics. 2005;5:2972–2980.
    • (2005) Proteomics , vol.5 , pp. 2972-2980
    • Merkel, D.1    Rist, W.2    Seither, P.3
  • 38
    • 84922823093 scopus 로고    scopus 로고
    • Asthma and COPD proteomics: current approaches and future directions
    • R.Terracciano, G.Pelaia, M.Preianò, et al. Asthma and COPD proteomics: current approaches and future directions. Proteomics Clin Appl. 2015;9:203–220.
    • (2015) Proteomics Clin Appl , vol.9 , pp. 203-220
    • Terracciano, R.1    Pelaia, G.2    Preianò, M.3
  • 39
    • 84884210290 scopus 로고    scopus 로고
    • Proteomic analysis of human epithelial lining fluid by microfluidics-based nanoLC-MS/MS: a feasibility study
    • L.Franciosi, N.Govorukhina, F.Fusetti, et al. Proteomic analysis of human epithelial lining fluid by microfluidics-based nanoLC-MS/MS: a feasibility study. Electrophoresis. 2013;34:2683–2694.
    • (2013) Electrophoresis , vol.34 , pp. 2683-2694
    • Franciosi, L.1    Govorukhina, N.2    Fusetti, F.3
  • 40
    • 84904539248 scopus 로고    scopus 로고
    • Susceptibility to COPD: differential proteomic profiling after acute smoking
    • L.Franciosi, D.S.Postma, M.van den Berge, et al. Susceptibility to COPD: differential proteomic profiling after acute smoking. PLoS One. 2014;9:e102037.
    • (2014) PLoS One , vol.9 , pp. e102037
    • Franciosi, L.1    Postma, D.S.2    van den Berge, M.3
  • 41
    • 33845579909 scopus 로고    scopus 로고
    • Proteome analysis of bronchoalveolar lavage in lung diseases
    • B.Magi, E.Bargagli, L.Bini, et al. Proteome analysis of bronchoalveolar lavage in lung diseases. Proteomics. 2006;6:6354–6369.
    • (2006) Proteomics , vol.6 , pp. 6354-6369
    • Magi, B.1    Bargagli, E.2    Bini, L.3
  • 42
    • 84870654727 scopus 로고    scopus 로고
    • The proteomics big challenge for biomarkers and new drug-targets discovery
    • R.Savino, S.Paduano, M.Preianò, et al. The proteomics big challenge for biomarkers and new drug-targets discovery. Int J Mol Sci. 2012;13:13926–13948.
    • (2012) Int J Mol Sci , vol.13 , pp. 13926-13948
    • Savino, R.1    Paduano, S.2    Preianò, M.3
  • 43
    • 84893852473 scopus 로고    scopus 로고
    • Large-scale, ion-current-based proteomics investigation of bronchoalveolar lavage fluid in chronic obstructive pulmonary disease patients
    • C.Tu, M.J.Mammen, J.Li, et al. Large-scale, ion-current-based proteomics investigation of bronchoalveolar lavage fluid in chronic obstructive pulmonary disease patients. J Proteome Res. 2014;13:627−629.
    • (2014) J Proteome Res , vol.13 , pp. 627-629
    • Tu, C.1    Mammen, M.J.2    Li, J.3
  • 44
    • 77954619669 scopus 로고    scopus 로고
    • Proteomics-based biomarkers in chronic obstructive pulmonary disease
    • H.Chen, D.Wang, C.Bai, et al. Proteomics-based biomarkers in chronic obstructive pulmonary disease. J Proteome Res. 2010;9:2798–2808.
    • (2010) J Proteome Res , vol.9 , pp. 2798-2808
    • Chen, H.1    Wang, D.2    Bai, C.3
  • 45
    • 42949118737 scopus 로고    scopus 로고
    • Cigarette smoke induces an unfolded protein response in the human lung: a proteomic approach
    • S.G.Kelsen, X.Duan, R.Ji, et al. Cigarette smoke induces an unfolded protein response in the human lung: a proteomic approach. Am J Respir Cell Mol Biol. 2008;38:541–550.
    • (2008) Am J Respir Cell Mol Biol , vol.38 , pp. 541-550
    • Kelsen, S.G.1    Duan, X.2    Ji, R.3
  • 46
    • 61349158636 scopus 로고    scopus 로고
    • Proteomics of human lung tissue identifies surfactant protein A as a marker of chronic obstructive pulmonary disease
    • S.Ohlmeier, M.Vuolanto, T.Toljamo, et al. Proteomics of human lung tissue identifies surfactant protein A as a marker of chronic obstructive pulmonary disease. J Proteome Res. 2008;7:5125–5132.
    • (2008) J Proteome Res , vol.7 , pp. 5125-5132
    • Ohlmeier, S.1    Vuolanto, M.2    Toljamo, T.3
  • 47
    • 60249084174 scopus 로고    scopus 로고
    • Proteomic analysis in lung tissue of smokers and COPD patients
    • E.J.Lee, K.H.In, J.H.Kim, et al. Proteomic analysis in lung tissue of smokers and COPD patients. Chest. 2009;135:344–352.
    • (2009) Chest , vol.135 , pp. 344-352
    • Lee, E.J.1    In, K.H.2    Kim, J.H.3
  • 48
    • 84869863889 scopus 로고    scopus 로고
    • Profiling the erythrocyte membrane proteome isolated from patients diagnosed with chronic obstructive pulmonary disease
    • B.M.Alexandre, N.Charro, J.Blonder, et al. Profiling the erythrocyte membrane proteome isolated from patients diagnosed with chronic obstructive pulmonary disease. J Proteomics. 2012;76:259–269.
    • (2012) J Proteomics , vol.76 , pp. 259-269
    • Alexandre, B.M.1    Charro, N.2    Blonder, J.3
  • 49
    • 79551609994 scopus 로고    scopus 로고
    • Hemoglobin α and β are ubiquitous in the human lung, decline in idiopathic pulmonary fibrosis but not in COPD
    • N.Ishikawa, S.Ohlmeier, K.Salmenkivi, et al. Hemoglobin α and β are ubiquitous in the human lung, decline in idiopathic pulmonary fibrosis but not in COPD. Respir Res. 2010;11:123.
    • (2010) Respir Res , vol.11 , pp. 123
    • Ishikawa, N.1    Ohlmeier, S.2    Salmenkivi, K.3
  • 50
    • 84979221358 scopus 로고    scopus 로고
    • Lung tissue proteomics identifies elevated transglutaminase 2 levels in stable chronic obstructive pulmonary disease
    • S.Ohlmeier, P.Nieminen, J.Gao, et al. Lung tissue proteomics identifies elevated transglutaminase 2 levels in stable chronic obstructive pulmonary disease. Am J Physiol Lung Cell Mol Physiol. 2016;310:L1155-L1165. doi:10.1152/ajplung.00021.2016.
    • (2016) Am J Physiol Lung Cell Mol Physiol , vol.310 , pp. L1155-L1165
    • Ohlmeier, S.1    Nieminen, P.2    Gao, J.3
  • 51
    • 0032694577 scopus 로고    scopus 로고
    • ‘Metabonomics’: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data
    • J.K.Nicholson, J.C.Lindon, E.Holmes. ‘Metabonomics’: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica. 1999;29:1181–1189.
    • (1999) Xenobiotica , vol.29 , pp. 1181-1189
    • Nicholson, J.K.1    Lindon, J.C.2    Holmes, E.3
  • 52
    • 66349087823 scopus 로고    scopus 로고
    • Spectroscopic and statistical techniques for information recovery in metabonomics and metabolomics
    • J.C.Lindon, J.K.Nicholson. Spectroscopic and statistical techniques for information recovery in metabonomics and metabolomics. Annu Rev Anal Chem (Palo Alto Calif). 2008;1:45–69.
    • (2008) Annu Rev Anal Chem (Palo Alto Calif) , vol.1 , pp. 45-69
    • Lindon, J.C.1    Nicholson, J.K.2
  • 53
    • 54549091125 scopus 로고    scopus 로고
    • Systems biology: metabonomics
    • •• A pioneering paper on the concept and applications of metabonomics
    • J.K.Nicholson, J.C.Lindon. Systems biology: metabonomics. Nature. 2008;455:1054–1056.•• A pioneering paper on the concept and applications of metabonomics.
    • (2008) Nature , vol.455 , pp. 1054-1056
    • Nicholson, J.K.1    Lindon, J.C.2
  • 54
  • 55
    • 58849106681 scopus 로고    scopus 로고
    • Metabonomic analysis of exhaled breath condensate in adults by nuclear magnetic resonance spectroscopy
    • G.D.Laurentiis, D.Paris, D.Melck, et al. Metabonomic analysis of exhaled breath condensate in adults by nuclear magnetic resonance spectroscopy. Eur Respir J. 2008;32:1175–1183.
    • (2008) Eur Respir J , vol.32 , pp. 1175-1183
    • Laurentiis, G.D.1    Paris, D.2    Melck, D.3
  • 56
    • 84874625331 scopus 로고    scopus 로고
    • Separating smoking-related diseases using NMR-based metabolomics of exhaled breath condensate
    • G.D.Laurentiis, D.Paris, D.Melck, et al. Separating smoking-related diseases using NMR-based metabolomics of exhaled breath condensate. J Proteome Res. 2013;12:1502–1511.
    • (2013) J Proteome Res , vol.12 , pp. 1502-1511
    • Laurentiis, G.D.1    Paris, D.2    Melck, D.3
  • 57
    • 79953647074 scopus 로고    scopus 로고
    • Is NMR-based metabolomic analysis of exhaled breath condensate accurate?
    • J.L.Izquierdo-García, G.Peces-Barba, S.Heili, et al. Is NMR-based metabolomic analysis of exhaled breath condensate accurate? Eur Respir J. 2011;37:468–470.
    • (2011) Eur Respir J , vol.37 , pp. 468-470
    • Izquierdo-García, J.L.1    Peces-Barba, G.2    Heili, S.3
  • 58
    • 76749130199 scopus 로고    scopus 로고
    • Non-invasive metabolomic analysis of breath using differential mobility spectrometry in patients with chronic obstructive pulmonary disease and healthy smokers
    • M.Basanta, R.M.Jarvis, Y.Xu, et al. Non-invasive metabolomic analysis of breath using differential mobility spectrometry in patients with chronic obstructive pulmonary disease and healthy smokers. Analyst. 2010;135:315–320.
    • (2010) Analyst , vol.135 , pp. 315-320
    • Basanta, M.1    Jarvis, R.M.2    Xu, Y.3
  • 59
    • 84865226828 scopus 로고    scopus 로고
    • Exhaled volatile organic compounds for phenotyping chronic obstructive pulmonary disease: a cross-sectional study
    • M.Basanta, B.Ibrahim, R.Dockry, et al. Exhaled volatile organic compounds for phenotyping chronic obstructive pulmonary disease: a cross-sectional study. Respir Res. 2012;13:72.
    • (2012) Respir Res , vol.13 , pp. 72
    • Basanta, M.1    Ibrahim, B.2    Dockry, R.3
  • 60
    • 82555189254 scopus 로고    scopus 로고
    • Exhaled air molecular profiling in relation to inflammatory subtype and activity in COPD
    • N.Fens, S.B.de Nijs, S.Peters, et al. Exhaled air molecular profiling in relation to inflammatory subtype and activity in COPD. Eur Respir J. 2011;38:1301–1309.
    • (2011) Eur Respir J , vol.38 , pp. 1301-1309
    • Fens, N.1    de Nijs, S.B.2    Peters, S.3
  • 61
    • 77954567884 scopus 로고    scopus 로고
    • (1)H nuclear magnetic resonance metabolomics analysis identifies novel urinary biomarkers for lung function
    • J.L.McClay, D.E.Adkins, N.G.Isern, et al. (1)H nuclear magnetic resonance metabolomics analysis identifies novel urinary biomarkers for lung function. J Proteome Res. 2010;9:3083–3090.
    • (2010) J Proteome Res , vol.9 , pp. 3083-3090
    • McClay, J.L.1    Adkins, D.E.2    Isern, N.G.3
  • 62
    • 84878809473 scopus 로고    scopus 로고
    • Metabonomic profiling of serum and urine by 1H NMR based spectroscopy discriminates patients with chronic obstructive pulmonary disease and healthy individuals
    • L.Wang, Y.Tang, S.Liu, et al. Metabonomic profiling of serum and urine by 1H NMR based spectroscopy discriminates patients with chronic obstructive pulmonary disease and healthy individuals. PLoS One. 2013;8:e65675.
    • (2013) PLoS One , vol.8 , pp. e65675
    • Wang, L.1    Tang, Y.2    Liu, S.3
  • 63
    • 84941166462 scopus 로고    scopus 로고
    • Metabolomic profiling of asthma and chronic obstructive pulmonary disease: a pilot study differentiating diseases
    • D.J.Adamko, P.Nair, I.Mayers, et al. Metabolomic profiling of asthma and chronic obstructive pulmonary disease: a pilot study differentiating diseases. J Allergy Clin Immunol. 2015;136:571–580.
    • (2015) J Allergy Clin Immunol , vol.136 , pp. 571-580
    • Adamko, D.J.1    Nair, P.2    Mayers, I.3
  • 64
    • 84944275817 scopus 로고    scopus 로고
    • Fusion of the (1)H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome
    • A.Ząbek, I.Stanimirova, S.Deja, et al. Fusion of the (1)H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructive sleep apnea syndrome. Metabolomics. 2015;11:1563–1574.
    • (2015) Metabolomics , vol.11 , pp. 1563-1574
    • Ząbek, A.1    Stanimirova, I.2    Deja, S.3
  • 65
    • 84864776788 scopus 로고    scopus 로고
    • Metabolic profiling detects biomarkers of protein degradation in COPD patients
    • B.K.Ubhi, J.H.Riley, P.A.Shaw, et al. Metabolic profiling detects biomarkers of protein degradation in COPD patients. Eur Respir J. 2012;40:345–355.
    • (2012) Eur Respir J , vol.40 , pp. 345-355
    • Ubhi, B.K.1    Riley, J.H.2    Shaw, P.A.3
  • 66
    • 84868089330 scopus 로고    scopus 로고
    • Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD
    • B.K.Ubhi, K.K.Cheng, J.Dong, et al. Targeted metabolomics identifies perturbations in amino acid metabolism that sub-classify patients with COPD. Mol Biosyst. 2012;8:3125–3133.
    • (2012) Mol Biosyst , vol.8 , pp. 3125-3133
    • Ubhi, B.K.1    Cheng, K.K.2    Dong, J.3
  • 67
    • 84908566336 scopus 로고    scopus 로고
    • Metabolomics provide new insights on lung cancer staging and discrimination from chronic obstructive pulmonary disease
    • S.Deja, I.Porebska, A.Kowal, et al. Metabolomics provide new insights on lung cancer staging and discrimination from chronic obstructive pulmonary disease. J Pharm Biomed Anal. 2014;100:369–380.
    • (2014) J Pharm Biomed Anal , vol.100 , pp. 369-380
    • Deja, S.1    Porebska, I.2    Kowal, A.3
  • 68
    • 80053586178 scopus 로고    scopus 로고
    • Pilot analysis of the plasma metabolite profiles associated with emphysematous chronic obstructive pulmonary disease phenotype
    • M.Paige, M.D.Burdick, S.Kim, et al. Pilot analysis of the plasma metabolite profiles associated with emphysematous chronic obstructive pulmonary disease phenotype. Biochem Biophys Res Commun. 2011;413:588–593.
    • (2011) Biochem Biophys Res Commun , vol.413 , pp. 588-593
    • Paige, M.1    Burdick, M.D.2    Kim, S.3
  • 69
    • 84956874199 scopus 로고    scopus 로고
    • Serum metabolite biomarkers discriminate healthy smokers from COPD smokers
    • Q.Chen, R.S.Deeb, Y.Ma, et al. Serum metabolite biomarkers discriminate healthy smokers from COPD smokers. PLoS One. 2015;10:e0143937.
    • (2015) PLoS One , vol.10 , pp. e0143937
    • Chen, Q.1    Deeb, R.S.2    Ma, Y.3
  • 70
    • 84906924000 scopus 로고    scopus 로고
    • Untargeted lipidomic analysis in chronic obstructive pulmonary disease. Uncovering sphingolipids
    • E.D.Telenga, R.F.Hoffmann, R.t’Kindt, et al. Untargeted lipidomic analysis in chronic obstructive pulmonary disease. Uncovering sphingolipids. Am J Respir Crit Care Med. 2014;190:155–164.
    • (2014) Am J Respir Crit Care Med , vol.190 , pp. 155-164
    • Telenga, E.D.1    Hoffmann, R.F.2    t’Kindt, R.3
  • 71
    • 84922308684 scopus 로고    scopus 로고
    • Plasma sphingolipids associated with chronic obstructive pulmonary disease phenotypes
    • R.P.Bowler, S.Jacobson, C.Cruickshank, et al. Plasma sphingolipids associated with chronic obstructive pulmonary disease phenotypes. Am J Respir Crit Care Med. 2015;191:275–284.
    • (2015) Am J Respir Crit Care Med , vol.191 , pp. 275-284
    • Bowler, R.P.1    Jacobson, S.2    Cruickshank, C.3
  • 72
    • 79957665988 scopus 로고    scopus 로고
    • Microarrays, deep sequencing and the true measure of the transcriptome
    • J.H.Malone, B.Oliver. Microarrays, deep sequencing and the true measure of the transcriptome. BMC Biol. 2011;9:34.
    • (2011) BMC Biol , vol.9 , pp. 34
    • Malone, J.H.1    Oliver, B.2
  • 73
    • 77954384233 scopus 로고    scopus 로고
    • Assessing the human immune system through blood transcriptomics
    • • An important review discussing the field and applications of transcriptomics
    • D.Chaussabel, V.Pascual, J.Banchereau. Assessing the human immune system through blood transcriptomics. BMC Biol. 2010;8:84.• An important review discussing the field and applications of transcriptomics.
    • (2010) BMC Biol , vol.8 , pp. 84
    • Chaussabel, D.1    Pascual, V.2    Banchereau, J.3
  • 74
    • 84864446365 scopus 로고    scopus 로고
    • Critical COPD respiratory illness is linked to increased transcriptomic activity of neutrophil proteases genes
    • R.Almansa, L.Socias, M.Sanchez-Garcia, et al. Critical COPD respiratory illness is linked to increased transcriptomic activity of neutrophil proteases genes. BMC Res Notes. 2012;5:401.
    • (2012) BMC Res Notes , vol.5 , pp. 401
    • Almansa, R.1    Socias, L.2    Sanchez-Garcia, M.3
  • 75
    • 84883185155 scopus 로고    scopus 로고
    • Peripheral blood mononuclear cell gene expression in chronic obstructive pulmonary disease
    • T.M.Bahr, G.J.Hughes, M.Armstrong, et al. Peripheral blood mononuclear cell gene expression in chronic obstructive pulmonary disease. Am J Respir Cell Mol Biol. 2013;49:316–323.
    • (2013) Am J Respir Cell Mol Biol , vol.49 , pp. 316-323
    • Bahr, T.M.1    Hughes, G.J.2    Armstrong, M.3
  • 76
    • 84897920121 scopus 로고    scopus 로고
    • Down regulation of T cell receptor expression in COPD pulmonary CD8 cells
    • S.Grundy, J.Plumb, S.Lea, et al. Down regulation of T cell receptor expression in COPD pulmonary CD8 cells. PLoS One. 2013;8:e71629.
    • (2013) PLoS One , vol.8 , pp. e71629
    • Grundy, S.1    Plumb, J.2    Lea, S.3
  • 77
    • 84979278194 scopus 로고    scopus 로고
    • CD4+ T-cell profiles and peripheral blood ex-vivo responses to T-cell directed stimulation delineate COPD phenotypes
    • M.E.P.Roberts, B.W.Higgs, P.Brohawn, et al. CD4+ T-cell profiles and peripheral blood ex-vivo responses to T-cell directed stimulation delineate COPD phenotypes. Chronic Obstr Pulm Dis (Miami). 2015;2:268–280.
    • (2015) Chronic Obstr Pulm Dis (Miami) , vol.2 , pp. 268-280
    • Roberts, M.E.P.1    Higgs, B.W.2    Brohawn, P.3
  • 78
    • 84880760566 scopus 로고    scopus 로고
    • Differential expression of vitamin E and selenium-responsive genes by disease severity in chronic obstructive pulmonary disease
    • A.H.Agler, R.G.Crystal, J.G.Mezey, et al. Differential expression of vitamin E and selenium-responsive genes by disease severity in chronic obstructive pulmonary disease. Copd. 2013;10:450–458.
    • (2013) Copd , vol.10 , pp. 450-458
    • Agler, A.H.1    Crystal, R.G.2    Mezey, J.G.3
  • 79
    • 84925310744 scopus 로고    scopus 로고
    • Comprehensive analysis of transcriptome sequencing data in the lung tissues of COPD subjects
    • W.J.Kim, J.H.Lim, J.S.Lee, et al. Comprehensive analysis of transcriptome sequencing data in the lung tissues of COPD subjects. Int J Genomics. 2015;2015:1–9.
    • (2015) Int J Genomics , vol.2015 , pp. 1-9
    • Kim, W.J.1    Lim, J.H.2    Lee, J.S.3
  • 80
    • 84971527067 scopus 로고    scopus 로고
    • Network analysis of lung transcriptomics reveals a distinct B cell signature in emphysema
    • R.Faner, T.Cruz, T.Casserras, et al. Network analysis of lung transcriptomics reveals a distinct B cell signature in emphysema. Am J Respir Crit Care Med. 2016;193:1242–1253.
    • (2016) Am J Respir Crit Care Med , vol.193 , pp. 1242-1253
    • Faner, R.1    Cruz, T.2    Casserras, T.3
  • 81
    • 79956365848 scopus 로고    scopus 로고
    • Induced sputum genes associated with spirometric and radiological disease severity in COPD ex-smokers
    • D.Singh, S.M.Fox, R.Tal-Singer, et al. Induced sputum genes associated with spirometric and radiological disease severity in COPD ex-smokers. Thorax. 2011;66:489–495.
    • (2011) Thorax , vol.66 , pp. 489-495
    • Singh, D.1    Fox, S.M.2    Tal-Singer, R.3
  • 82
    • 84871797748 scopus 로고    scopus 로고
    • Genome-wide association analysis of blood biomarkers in chronic obstructive pulmonary disease
    • D.K.Kim, M.H.Cho, C.P.Hersh, et al. Genome-wide association analysis of blood biomarkers in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2012;186:1238–1247.
    • (2012) Am J Respir Crit Care Med , vol.186 , pp. 1238-1247
    • Kim, D.K.1    Cho, M.H.2    Hersh, C.P.3
  • 83
    • 84890023096 scopus 로고    scopus 로고
    • Statistical design for biospecimen cohort size in proteomics based biomarker discovery and verification studies
    • S.J.Skates, M.A.Gillette, J.LaBaer, et al. Statistical design for biospecimen cohort size in proteomics based biomarker discovery and verification studies. J Proteome Res. 2013;12:5383–5394.
    • (2013) J Proteome Res , vol.12 , pp. 5383-5394
    • Skates, S.J.1    Gillette, M.A.2    LaBaer, J.3
  • 84
    • 70450030926 scopus 로고    scopus 로고
    • The consequences of sample pooling in proteomics: an empirical study
    • A.P.Diz, M.Truebano, D.O.F.Skibinski. The consequences of sample pooling in proteomics: an empirical study. Electrophoresis. 2009;30:2967–2975.
    • (2009) Electrophoresis , vol.30 , pp. 2967-2975
    • Diz, A.P.1    Truebano, M.2    Skibinski, D.O.F.3
  • 85
    • 15444364657 scopus 로고    scopus 로고
    • On the utility of pooling biological samples in microarray experiments
    • C.Kendziorski, R.A.Irizarry, K.-S.Chen, et al. On the utility of pooling biological samples in microarray experiments. Proc Natl Acad Sci USA. 2005;102:4252–4257.
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 4252-4257
    • Kendziorski, C.1    Irizarry, R.A.2    Chen, K.-S.3
  • 86
    • 10844254626 scopus 로고    scopus 로고
    • Optimal sample size for multiple testing
    • P.Müller, G.Parmigiani, C.Robert, et al. Optimal sample size for multiple testing. J Am Stat Assoc. 2004;99:990–100.
    • (2004) J Am Stat Assoc , vol.99 , pp. 100-990
    • Müller, P.1    Parmigiani, G.2    Robert, C.3
  • 87
    • 33646234749 scopus 로고    scopus 로고
    • A simple method for assessing sample sizes in microarray experiments
    • R.Tibshirani. A simple method for assessing sample sizes in microarray experiments. BMC Bioinformatics. 2006;7:106.
    • (2006) BMC Bioinformatics , vol.7 , pp. 106
    • Tibshirani, R.1
  • 88
    • 34147178433 scopus 로고    scopus 로고
    • Quick calculation for sample size while controlling false discovery rate with application to microarray analysis
    • P.Liu, J.T.G.Hwanga. Quick calculation for sample size while controlling false discovery rate with application to microarray analysis. Bioinformatics. 2007;23:739–746.
    • (2007) Bioinformatics , vol.23 , pp. 739-746
    • Liu, P.1    Hwanga, J.T.G.2
  • 89
    • 77949905608 scopus 로고    scopus 로고
    • Power and sample size estimation in microarray studies
    • W.-J.Lin, H.-M.Hsueh, J.J.Chen. Power and sample size estimation in microarray studies. BMC Bioinformatics. 2010;11:48.
    • (2010) BMC Bioinformatics , vol.11 , pp. 48
    • Lin, W.-J.1    Hsueh, H.-M.2    Chen, J.J.3
  • 90
    • 84887859955 scopus 로고    scopus 로고
    • MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach
    • G.Nyamundanda, I.C.Gormley, Y.Fan, et al. MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach. BMC Bioinformatics. 2013;14:338.
    • (2013) BMC Bioinformatics , vol.14 , pp. 338
    • Nyamundanda, G.1    Gormley, I.C.2    Fan, Y.3
  • 91
    • 84979865433 scopus 로고    scopus 로고
    • MetaboAnalyst 3.0––making metabolomics more meaningful
    • J.Xia, I.V.Sinelnikov, B.Han, et al. MetaboAnalyst 3.0––making metabolomics more meaningful. Nucleic Acids Res. 2015;43:W251–W257.
    • (2015) Nucleic Acids Res , vol.43 , pp. W251-W257
    • Xia, J.1    Sinelnikov, I.V.2    Han, B.3
  • 92
    • 0036051492 scopus 로고    scopus 로고
    • How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
    • W.Pan, J.Lin, C.T.Le. How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach. Genome Biol. 2002;3:research0022.
    • (2002) Genome Biol , vol.3 , pp. 22
    • Pan, W.1    Lin, J.2    Le, C.T.3
  • 93
    • 19544383638 scopus 로고    scopus 로고
    • Sample size determination in microarray experiments for class comparison and prognostic classification
    • K.Dobbin, R.Simon. Sample size determination in microarray experiments for class comparison and prognostic classification. Biostatistics. 2005;6:27–38.
    • (2005) Biostatistics , vol.6 , pp. 27-38
    • Dobbin, K.1    Simon, R.2
  • 94
    • 21444454257 scopus 로고    scopus 로고
    • False discovery rate, sensitivity and sample size for microarray studies
    • Y.Pawitan, S.Michiels, S.Koscielny, et al. False discovery rate, sensitivity and sample size for microarray studies. Bioinformatics. 2005;21:3017–3024.
    • (2005) Bioinformatics , vol.21 , pp. 3017-3024
    • Pawitan, Y.1    Michiels, S.2    Koscielny, S.3
  • 95
    • 1842535253 scopus 로고    scopus 로고
    • Microarray experimental design: power and sample size considerations
    • M.C.Yang, J.J.Yang, R.A.McIndoe, et al. Microarray experimental design: power and sample size considerations. Physiol Genomics. 2003;16:24–28.
    • (2003) Physiol Genomics , vol.16 , pp. 24-28
    • Yang, M.C.1    Yang, J.J.2    McIndoe, R.A.3
  • 97
    • 0242657579 scopus 로고    scopus 로고
    • Power analysis for real-time PCR quantification of genes in activated sludge and analysis of the variability introduced by DNA extraction
    • H.M.Dionisi, G.Harms, A.C.Layton, et al. Power analysis for real-time PCR quantification of genes in activated sludge and analysis of the variability introduced by DNA extraction. Appl Environ Microbiol. 2003;69:6597–6604.
    • (2003) Appl Environ Microbiol , vol.69 , pp. 6597-6604
    • Dionisi, H.M.1    Harms, G.2    Layton, A.C.3
  • 98
    • 77949264835 scopus 로고    scopus 로고
    • Statistical aspects of quantitative real-time PCR experiment design
    • R.R.Kitchen, M.Kubista, A.Tichopad. Statistical aspects of quantitative real-time PCR experiment design. Methods. 2010;50:231–236.
    • (2010) Methods , vol.50 , pp. 231-236
    • Kitchen, R.R.1    Kubista, M.2    Tichopad, A.3
  • 99
    • 58149463224 scopus 로고    scopus 로고
    • High resolution analysis of the 5ʹ-end transcriptome using a next generation DNA sequencer
    • S.Hashimoto, W.Qu, B.Ahsan, et al. High resolution analysis of the 5ʹ-end transcriptome using a next generation DNA sequencer. PLoS One. 2009;4:e4108.
    • (2009) PLoS One , vol.4 , pp. e4108
    • Hashimoto, S.1    Qu, W.2    Ahsan, B.3
  • 100
    • 84885030144 scopus 로고    scopus 로고
    • Sample size calculation for differential expression analysis of RNA-seq data under poisson distribution
    • C.-I.Li, P.-F.Su, Y.Guo, et al. Sample size calculation for differential expression analysis of RNA-seq data under poisson distribution. Int J Comput Biol Drug Des. 2013;6:358–375.
    • (2013) Int J Comput Biol Drug Des , vol.6 , pp. 358-375
    • Li, C.-I.1    Su, P.-F.2    Guo, Y.3
  • 101
    • 50649089207 scopus 로고    scopus 로고
    • Rnaseq: an assessment of technical reproducibility and comparison with gene expression arrays
    • J.C.Marioni, C.E.Mason, S.M.Mane, et al. Rnaseq: an assessment of technical reproducibility and comparison with gene expression arrays. Genome Res. 2008;18:1509–1517.
    • (2008) Genome Res , vol.18 , pp. 1509-1517
    • Marioni, J.C.1    Mason, C.E.2    Mane, S.M.3
  • 102
    • 75249095274 scopus 로고    scopus 로고
    • DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
    • L.Wang, Z.Feng, X.Wang, et al. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics. 2010;26:136–138.
    • (2010) Bioinformatics , vol.26 , pp. 136-138
    • Wang, L.1    Feng, Z.2    Wang, X.3
  • 103
    • 84866634300 scopus 로고    scopus 로고
    • Normalization, testing, and false discovery rate estimation for rna-sequencing data
    • J.Li, D.M.Witten, I.M.Johnstone, et al. Normalization, testing, and false discovery rate estimation for rna-sequencing data. Biostatistics. 2011;14:1–16.
    • (2011) Biostatistics , vol.14 , pp. 1-16
    • Li, J.1    Witten, D.M.2    Johnstone, I.M.3
  • 104
    • 84888343631 scopus 로고    scopus 로고
    • Calculating sample size estimates for RNA sequencing data
    • S.N.Hart, T.M.Therneau, Y.Zhang, et al. Calculating sample size estimates for RNA sequencing data. J Comput Biol. 2013;20:970–978.
    • (2013) J Comput Biol , vol.20 , pp. 970-978
    • Hart, S.N.1    Therneau, T.M.2    Zhang, Y.3
  • 105
    • 84969390634 scopus 로고    scopus 로고
    • Navigating the road ahead: addressing challenges for use of metabolomics in epidemiology studies
    • M.Haznadar, P.Maruvada, E.Mette, et al. Navigating the road ahead: addressing challenges for use of metabolomics in epidemiology studies. Metabolomics. 2014;10:176–178.
    • (2014) Metabolomics , vol.10 , pp. 176-178
    • Haznadar, M.1    Maruvada, P.2    Mette, E.3
  • 106
    • 84962486115 scopus 로고    scopus 로고
    • metabolomics and its application to acute lung diseases
    • K.A.Stringer, R.T.McKay, A.Karnovsky, et al. metabolomics and its application to acute lung diseases. Front Immunol. 2016;7:44.
    • (2016) Front Immunol , vol.7 , pp. 44
    • Stringer, K.A.1    McKay, R.T.2    Karnovsky, A.3
  • 108
    • 84909978234 scopus 로고    scopus 로고
    • Chronic obstructive pulmonary disease genetics: a review of the past and a look into the future
    • M.Hardin, E.K.Silverman. Chronic obstructive pulmonary disease genetics: a review of the past and a look into the future. Copd. 2014;1:33–46.
    • (2014) Copd , vol.1 , pp. 33-46
    • Hardin, M.1    Silverman, E.K.2
  • 109
    • 84923353061 scopus 로고    scopus 로고
    • Detection of COPD in a high-risk population: should the diagnostic work-up include bronchodilator reversibility testing?
    • P.Kjeldgaard, R.Dahl, A.Løkke, et al. Detection of COPD in a high-risk population: should the diagnostic work-up include bronchodilator reversibility testing? Int J Chron Obstruct Pulmon Dis. 2015;10:407–414.
    • (2015) Int J Chron Obstruct Pulmon Dis , vol.10 , pp. 407-414
    • Kjeldgaard, P.1    Dahl, R.2    Løkke, A.3
  • 110
    • 78649489733 scopus 로고    scopus 로고
    • Opportunities and challenges in omics
    • M.M.Ning, E.H.Lo. Opportunities and challenges in omics. Transl Stroke Res. 2010;1:233–237.
    • (2010) Transl Stroke Res , vol.1 , pp. 233-237
    • Ning, M.M.1    Lo, E.H.2
  • 111
    • 84979286180 scopus 로고    scopus 로고
    • Pitfalls and limitations in translation from biomarker discovery to clinical utility in predictive and personalised medicine
    • E.Drucker, K.Krapfenbauer. Pitfalls and limitations in translation from biomarker discovery to clinical utility in predictive and personalised medicine. Epma J. 2013;4:7.
    • (2013) Epma J , vol.4 , pp. 7
    • Drucker, E.1    Krapfenbauer, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.