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      KCI등재 SCOPUS SCIE

      Disrupted Pathways Associated with Neonatal Sepsis: Combination of Protein-protein Interactions and Pathway Data

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      https://www.riss.kr/link?id=A105874700

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      다국어 초록 (Multilingual Abstract)

      To identify disrupted pathways associated with neonatal sepsis, we performed a research based on the combination of protein-protein interactions (PPIs) and pathway data. Firstly, a total of 23,292 genes, 787,896 PPIs and 1,675 human pathways were obta...

      To identify disrupted pathways associated with neonatal sepsis, we performed a research based on the combination of protein-protein interactions (PPIs) and pathway data. Firstly, a total of 23,292 genes, 787,896 PPIs and 1,675 human pathways were obtained, respectively. Then, under the threshold value of false discovery rate (FDR)<0.05 and a delta cut-off value >4.36, a total of 986 differentially expressed genes (DEGs) were identified. In the following, by degree centrality for the objective PPI network, 20 hub genes were obtained. Finally, pathway enrichment analysis and randomization tests indicated that pathways of gene expression, immune system and innate immune system were with remarkable significance in neonatal sepsis. Therefore, in the present study, we presented a novel pathway method, and we successfully identified several pathways in neonatal sepsis, which might be underlying indicators in the detection and treatment of neonatal sepsis.

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      참고문헌 (Reference)

      1 He, X., "Why do hubs tend to be essential in protein networks?" 2 : e88-, 2006

      2 Dickinson, P., "Whole blood gene expression profiling of neonates with confirmed bacterial sepsis" 3 : 41-48, 2015

      3 McDonagh, S., "Viral and bacterial pathogens at the maternal-fetal interface" 190 : 826-834, 2004

      4 Sharma, A.A, "The developing human preterm neonatal immune system: a case for more research in this area" 145 : 61-68, 2012

      5 Szklarczyk, D., "The STRING database in 2011:functional interaction networks of proteins, globally integrated and scored" 39 : D561-D568, 2011

      6 Makhseed, M., "Th1 and Th2 cytokine profiles in recurrent aborters with successful pregnancy and with subsequent abortions" 16 : 2219-2226, 2001

      7 Khatri, P, "Ten years of pathway analysis: current approaches and outstanding chal lenges" 8 : e1002375-, 2012

      8 Tusher, V. G., "Significance analysis of microarrays applied to the ionizing radiation response" 98 : 5116-5121, 2001

      9 Lyu, J., "Sepsis-induced brain mitochondrial dysfunction is associated with altered mitochondrial Src and PTP1B levels" 1620 : 130-138, 2015

      10 Samsygina, G.A., "Sepsis in the newborn" (Suppl) : 1-48, 2004

      1 He, X., "Why do hubs tend to be essential in protein networks?" 2 : e88-, 2006

      2 Dickinson, P., "Whole blood gene expression profiling of neonates with confirmed bacterial sepsis" 3 : 41-48, 2015

      3 McDonagh, S., "Viral and bacterial pathogens at the maternal-fetal interface" 190 : 826-834, 2004

      4 Sharma, A.A, "The developing human preterm neonatal immune system: a case for more research in this area" 145 : 61-68, 2012

      5 Szklarczyk, D., "The STRING database in 2011:functional interaction networks of proteins, globally integrated and scored" 39 : D561-D568, 2011

      6 Makhseed, M., "Th1 and Th2 cytokine profiles in recurrent aborters with successful pregnancy and with subsequent abortions" 16 : 2219-2226, 2001

      7 Khatri, P, "Ten years of pathway analysis: current approaches and outstanding chal lenges" 8 : e1002375-, 2012

      8 Tusher, V. G., "Significance analysis of microarrays applied to the ionizing radiation response" 98 : 5116-5121, 2001

      9 Lyu, J., "Sepsis-induced brain mitochondrial dysfunction is associated with altered mitochondrial Src and PTP1B levels" 1620 : 130-138, 2015

      10 Samsygina, G.A., "Sepsis in the newborn" (Suppl) : 1-48, 2004

      11 Cuenca, A. G., "Role of innate immunity in neonatal infection" 30 : 105-112, 2013

      12 Croft, D., "Reactome: a database of reactions, pathways and biological processes" 39 : D691-D697, 2011

      13 Zhao, J, "Ranking candidate disease genes from gene expression and protein interaction: a Katz-centrality based approach" 6 : e24306-, 2011

      14 Edgington, E., "Randomization tests" CRC Press 2007

      15 Ideker, T., "Protein networks in disease" 18 : 644-652, 2008

      16 Cary, M.P, "Pathway information for systems biology" 579 : 1815-1820, 2005

      17 Streimish, I., "Neutrophil CD64 with hematologic criteria for diagnosis of neonatal sepsis" 31 : 21-30, 2014

      18 Brandes, U., "Network analysis: methodological foundations" Springer Science & Business Media 2005

      19 Vergnano, S., "Neonatal sepsis: an international perspective" F220-F224, 2005

      20 Janeway, C. A.Jr., "Innate immune recognition" 20 : 197-216, 2002

      21 Reiner, A., "Identifying differentially expressed genes using false discovery rate controlling procedures" 19 : 368-375, 2003

      22 Smith, C.L., "Identification of a human neonatal immune-metabolic network associated with bacterial infection" 5 : 4649-, 2014

      23 Allen, H.L., "Hundreds of variants clustered in genomic loci and biological pathways affect human height" 467 : 832-838, 2010

      24 Yu, H., "High-quality binary protein interaction map of the yeast interactome network" 322 : 104-110, 2008

      25 Dreze, M., "High-quality binary interactome mapping" 470 : 281-315, 2010

      26 Liu, L., "Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 200" 379 : 2151-2161, 2012

      27 Marchini, G., "Erythema toxicum neonatorum is an innate immune response to commensal microbes penetrated into the skin of the newborn infant" 58 : 613-616, 2005

      28 Stoll, B.J., "Early onset neonatal sepsis: the burden of group B Streptococcal and E. coli disease continues" 127 : 817-826, 2011

      29 Hornik, C.P., "Early and late onset sepsis in verylow-birth-weight infants from a large group of neonatal intensive care units" 88 (88): S69-S74, 2012

      30 Xu, J., "Discovering disease-genes by topological features in human protein-protein interaction network" 22 : 2800-2805, 2006

      31 Abdollahi, A, "Diagnostic Value of Simultaneous Measurement of Procalcitonin, Interleukin-6 and hs-CRP in Prediction of Early-Onset Neonatal Sepsis" 4 : e2012028-, 2012

      32 Lupu, F, "Crosstalk between the coagulation and complement systems in sepsis" 133 : S28-S31, 2014

      33 Liu, G., "Complex discovery from weighted PPI networks" 25 : 1891-1897, 2009

      34 Gu, Z., "Centrality-based pathway enrichment: a systematic approach for finding significant pathways dominated by key genes" 6 : 56-, 2012

      35 Koschützki, D., "Centrality analysis methods for biological networks and their application to gene regulatory networks" 2 : 193-, 2008

      36 Huang da, W., "Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists" 37 : 1-13, 2009

      37 Junker, B.H., "Analysis of biological networks" John Wiley & Sons 2-, 2011

      38 Venkatesan, K., "An empirical framework for binary interactome mapping" 6 : 83-90, 2009

      39 Stelzl, U., "A human protein-protein interaction network: a resource for annotating the proteome" 122 : 957-968, 2005

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : BioChip Journal
      외국어명 : BioChip Journal
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 등재학술지 선정 (기타) KCI등재
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 SCIE 등재 (신규평가) KCI등재후보
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      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.33 0.25 0.88
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.66 0.53 0.255 0.1
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