RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCOPUS SCIE

      Analysis of the potential pathways and target genes in spinal cord injury using bioinformatics methods

      한글로보기

      https://www.riss.kr/link?id=A104430726

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Spinal cord injury (SCI) remains to be the most devastating type of trauma for patients because of long lasting disability and limited response to the acute drug administration and efforts at rehabilitation. With the purpose to identify potential targ...

      Spinal cord injury (SCI) remains to be the most devastating type of trauma for patients because of long lasting disability and limited response to the acute drug administration and efforts at rehabilitation. With the purpose to identify potential targets for SCI treatment and to gain more insights into the mechanisms of SCI, the microarray data of GSE2270, including 119 raphe magnus (RM) samples and 125 sensorimotor cortex (SMTC) samples, was downloaded from the Gene Expression Omnibus database.
      Differentially expressed genes (DEGs) were screened inRM group and SMTC group compared with their corresponding controls, respectively. A protein–protein interaction (PPI) network was constructed based on the common DEGs identified in both RM group and SMTC group. Gene ontology (GO) and pathway enrichment analyses of the overlapping DEGs were performed. Furthermore, the common DEGs enriched in each pathway were analyzed to identify significant regulatory elements. Totally, 173 overlapping DEGs (130 up-regulated and 43 down-regulated) were identified in both RM and SMTC samples. These overlapping DEGs were enriched in different GO terms. Pathway enrichment analysis revealed that DEGs were mainly related to inflammation and immunity. CD68 molecule (CD68) was a hub protein in the PPI network. Moreover, the regulatory network showed that ras-related C3 botulinum toxin substrate 2 (RAC2), CD44 molecule (CD44), and actin related protein 2/3 complex (ARPC1B) were hub genes. RAC2, CD44, and ARPC1B may be significantly involved in the pathogenesis of SCI by participating significant pathways such as extracellular matrix-receptor signaling pathway and Toll-like receptor signaling pathway.

      더보기

      참고문헌 (Reference)

      1 Gautier L, "affy—analysis of Affymetrix GeneChip data at the probe level" 20 : 307-315, 2004

      2 Satake K, "Up-regulation of glial cell line-derived neurotrophic factor (GDNF) following traumatic spinal cord injury" 11 : 3877-3881, 2000

      3 Kaisho T, "Toll-like receptor function and signaling" 117 : 979-987, 2006

      4 Kigerl KA, "Toll-like receptor (TLR)-2 and TLR-4 regulate inflammation, gliosis, and myelin sparing after spinal cord injury" 102 : 37-50, 2007

      5 Hauben E, "Therapeutic vaccination for spinal cord injury: helping the body to cure itself" 24 : 7-12, 2003

      6 Desborough J, "The stress response to trauma and surgery" 85 : 109-117, 2000

      7 Xiaowei H, "The experimental study of hypoxia-inducible factor-1a and its target genes in spinal cord injury" 44 : 35-43, 2005

      8 May R, "The Arp2/3 complex: a central regulator of the actin cytoskeleton" 58 : 1607-1626, 2001

      9 Cui X, "Statistical tests for differential expression in cDNA microarray experiments" 4 : 210-, 2003

      10 McDonald JW, "Spinal-cord injury" 359 : 417-425, 2002

      1 Gautier L, "affy—analysis of Affymetrix GeneChip data at the probe level" 20 : 307-315, 2004

      2 Satake K, "Up-regulation of glial cell line-derived neurotrophic factor (GDNF) following traumatic spinal cord injury" 11 : 3877-3881, 2000

      3 Kaisho T, "Toll-like receptor function and signaling" 117 : 979-987, 2006

      4 Kigerl KA, "Toll-like receptor (TLR)-2 and TLR-4 regulate inflammation, gliosis, and myelin sparing after spinal cord injury" 102 : 37-50, 2007

      5 Hauben E, "Therapeutic vaccination for spinal cord injury: helping the body to cure itself" 24 : 7-12, 2003

      6 Desborough J, "The stress response to trauma and surgery" 85 : 109-117, 2000

      7 Xiaowei H, "The experimental study of hypoxia-inducible factor-1a and its target genes in spinal cord injury" 44 : 35-43, 2005

      8 May R, "The Arp2/3 complex: a central regulator of the actin cytoskeleton" 58 : 1607-1626, 2001

      9 Cui X, "Statistical tests for differential expression in cDNA microarray experiments" 4 : 210-, 2003

      10 McDonald JW, "Spinal-cord injury" 359 : 417-425, 2002

      11 Hayashi M, "Sequential mRNA expression for immediate early genes, cytokines, and neurotrophins in spinal cord injury" 17 : 203-218, 2000

      12 Oyinbo CA, "Secondary injury mechanisms in traumatic spinal cord injury: a nugget of this multiply cascade" 71 : 281-299, 2011

      13 Szklarczyk D, "STRING v10: protein-protein interaction networks, integrated over the tree of life" 43 : D447-D452, 2015

      14 Byrnes KR, "Role of cell cycle proteins in CNS injury" 32 : 1799-1807, 2007

      15 Cruse J, "Review of immune function, healing of pressure ulcers, and nutritional status in patients with spinal cord injury" 23 : 129-135, 1999

      16 Houle JD, "Repair of chronic spinal cord injury" 182 : 247-260, 2003

      17 Liebl DJ, "Regulation of Trk receptors following contusion of the rat spinal cord" 167 : 15-26, 2001

      18 Citron BA, "Rapid upregulation of caspase-3 in rat spinal cord after injury: mRNA, protein, and cellular localization correlates with apoptotic cell death" 166 : 213-226, 2000

      19 Joshi S, "Rac2 controls tumor growth, metastasis and M1-M2 macrophage differentiation in vivo" 9 : e95893-, 2014

      20 Ihaka R, "R: a language for data analysis and graphics" 5 : 299-314, 1996

      21 Parker HS, "Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction" 30 : 2757-2763, 2014

      22 Papa S, "Polymeric nanoparticle system to target activated microglia/macrophages in spinal cord injury" 174 : 15-26, 2014

      23 Gomez-Cambronero J, "Phosphatidic acid, phospholipase D and tumorigenesis" 54 : 197-206, 2014

      24 Boyer L, "Pathogenderived effectors trigger protective immunity via activation of the Rac2 enzyme and the IMD or Rip kinase signaling pathway" 35 : 536-549, 2011

      25 Almad A, "Oligodendrocyte fate after spinal cord injury" 8 : 262-273, 2011

      26 Basso DM, "Neuroanatomical substrates of functional recovery after experimental spinal cord injury: implications of basic science research for human spinal cord injury" 80 : 808-817, 2000

      27 Bland JM, "Multiple significance tests: the Bonferroni method" 310 : 170-, 1995

      28 Boekhoff TM, "Microglial contribution to secondary injury evaluated in a large animal model of human spinal cord trauma" 29 : 1000-1011, 2012

      29 Diboun I, "Microarray analysis after RNA amplification can detect pronounced differences in gene expression using limma" 7 : 252-, 2006

      30 Buss A, "Matrix metalloproteinases and their inhibitors in human traumatic spinal cord injury" 7 : 17-, 2007

      31 Budh CN, "Life satisfaction in individuals with a spinal cord injury and pain" 21 : 89-96, 2007

      32 Plowden J, "Innate immunity in aging: impact on macrophage function" 3 : 161-167, 2004

      33 Lee JY, "Inhibition of apoptotic cell death by ghrelin improves functional recovery after spinal cord injury" 151 : 3815-3826, 2010

      34 Donnelly DJ, "Inflammation and its role in neuroprotection, axonal regeneration and functional recovery after spinal cord injury" 209 : 378-388, 2008

      35 Yang N, "Genetic basis for phenotypic differences between different Toxoplasma gondii type I strains" 14 : 467-, 2013

      36 Di Giovanni S, "Gene profiling in spinal cord injury shows role of cell cycle in neuronal death" 53 : 454-468, 2003

      37 De Biase A, "Gene expression profiling of experimental traumatic spinal cord injury as a function of distance from impact site and injury severity" 22 : 368-381, 2005

      38 Adair-Kirk TL, "Fragments of extracellular matrix as mediators of inflammation" 40 : 1101-1110, 2008

      39 Byrnes KR, "Expression of two temporally distinct microglia-related gene clusters after spinal cord injury" 53 : 420-433, 2006

      40 Efron B, "Empirical Bayes methods and false discovery rates for microarrays" 23 : 70-86, 2002

      41 Ietta F, "Dynamic HIF1A regulation during human placental development" 75 : 112-121, 2006

      42 Gotea V, "DiRE: identifying distant regulatory elements of co-expressed genes" 36 : W133-W139, 2008

      43 Profyris C, "Degenerative and regenerative mechanisms governing spinal cord injury" 15 : 415-436, 2004

      44 Roberts AW, "Deficiency of the hematopoietic cell-specific Rho family GTPase Rac2 is characterized by abnormalities in neutrophil function and host defense" 10 : 183-196, 1999

      45 Sherman BT, "DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis" 8 : 426-, 2007

      46 Smoot ME, "Cytoscape 2.8: new features for data integration and network visualization" 27 : 431-432, 2011

      47 Tang Y, "CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks" 127 : 67-72, 2015

      48 Grossman SD, "Changes in NMDA receptor subunit expression in response to contusive spinal cord injury" 75 : 174-184, 2000

      49 Skinner M, "Cell cycle: ARPC1B—a regulator of regulators" 11 : 542-, 2010

      50 Byrnes KR, "Cell cycle activation contributes to post-mitotic cell death and secondary damage after spinal cord injury" 130 : 2977-2992, 2007

      51 Ponta H, "CD44: from adhesion molecules to signalling regulators" 4 : 33-45, 2003

      52 Sherman LS, "CD44 enhances neuregulin signaling by Schwann cells" 150 : 1071-1084, 2000

      53 Maere S, "BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks" 21 : 3448-3449, 2005

      54 Molli PR, "Arpc1b, a centrosomal protein, is both an activator and substrate of Aurora A" 190 : 101-114, 2010

      55 Xia X, "Analyzing time-series microarray data reveals key genes in spinal cord injury" 41 : 6827-6835, 2014

      56 Cortez R, "Acute spinal cord injury" 9 : 115-125, 2007

      57 Ackery A, "A global perspective on spinal cord injury epidemiology" 21 : 1355-1370, 2004

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2012-05-07 학술지명변경 한글명 : 한국유전학회지 -> Genes & Genomics KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-04-14 학술지명변경 외국어명 : Korean Journal of Genetics -> Genes and Genomics KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      1999-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.51 0.12 0.38
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.32 0.27 0.258 0.02
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼