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      KCI등재 SCOPUS SCIE

      Relationship between spatial organization and biological function, analyzed using gene ontology and chromosome conformation capture of human and fission yeast genomes

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      https://www.riss.kr/link?id=A103609490

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      다국어 초록 (Multilingual Abstract)

      Cells regulate functionally related genes cisand trans-contacts in order to perform specific biological roles. To understand the cryptic spatial genomic contexts underlying these biological functions, we analyzed the gene association data from the gene ontology (GO) database and the genomic spatial organization data obtained by analysis of chromosome conformation capture (3C)-based data from the Sequence Read Archive, where GO and 3Cbased data were used to measure functional similarity and spatial proximity, respectively, between genomic loci. In the human genome and the fission yeast genome, we observed that correlation between the two measures was statistically significant on a genome-wide scale. Specifically, it is also confirmed that the genomic spatial architecture is affected by functional similarity of genes by showing better correlation of functional similarities with spatial distances estimated by contact frequencies than those estimated by genomic distances for cis-contacts.
      Furthermore, we analyzed distances between the genomic segments sharing the same GO term using the two-sample t test, found that the genomic segments identified by various GO terms are spatially located closer than the average distance over statistically-valid contacts, and provided a list of the GO terms. The results suggested that genomic loci with similar biological functions are situated in close proximity to each other in the nuclear space by aggregating functionally related genes in a short spatial range.
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      Cells regulate functionally related genes cisand trans-contacts in order to perform specific biological roles. To understand the cryptic spatial genomic contexts underlying these biological functions, we analyzed the gene association data from the gen...

      Cells regulate functionally related genes cisand trans-contacts in order to perform specific biological roles. To understand the cryptic spatial genomic contexts underlying these biological functions, we analyzed the gene association data from the gene ontology (GO) database and the genomic spatial organization data obtained by analysis of chromosome conformation capture (3C)-based data from the Sequence Read Archive, where GO and 3Cbased data were used to measure functional similarity and spatial proximity, respectively, between genomic loci. In the human genome and the fission yeast genome, we observed that correlation between the two measures was statistically significant on a genome-wide scale. Specifically, it is also confirmed that the genomic spatial architecture is affected by functional similarity of genes by showing better correlation of functional similarities with spatial distances estimated by contact frequencies than those estimated by genomic distances for cis-contacts.
      Furthermore, we analyzed distances between the genomic segments sharing the same GO term using the two-sample t test, found that the genomic segments identified by various GO terms are spatially located closer than the average distance over statistically-valid contacts, and provided a list of the GO terms. The results suggested that genomic loci with similar biological functions are situated in close proximity to each other in the nuclear space by aggregating functionally related genes in a short spatial range.

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      참고문헌 (Reference)

      1 Langmead B, "Ultrafast and memory-efficient alignment of short DNA sequences to the human genome" 10 : R25-, 2009

      2 Janga SC, "Transcriptional regulation constrains the organization of genes on eukaryotic chromosomes" 105 : 15761-15766, 2008

      3 Dixon JR, "Topological domains in mammalian genomes identified by analysis of chromatin interactions" 485 : 376-380, 2012

      4 Sexton T, "Three-dimensional folding and functional organization principles of the Drosophila genome" 148 : 458-472, 2012

      5 Diament A, "Three-dimensional eukaryotic genomic organization is strongly correlated with codon usage expression and function" 5 : 5876-, 2014

      6 Leinonen R, "The sequence read archive" 39 : D19-D21, 2011

      7 Ragoczy T, "The locus control region is required for association of the murine beta-globin locus with engaged transcription factories during erythroid maturation" 20 : 1447-1457, 2006

      8 Kent WJ, "The human genome browser at UCSC" 12 : 996-1006, 2002

      9 Glass CK, "The coregulator exchange in transcriptional functions of nuclear receptors" 14 : 121-141, 2000

      10 Mi H, "The PANTHER database of protein families, subfamilies, functions and pathways" 33 : D284-D288, 2005

      1 Langmead B, "Ultrafast and memory-efficient alignment of short DNA sequences to the human genome" 10 : R25-, 2009

      2 Janga SC, "Transcriptional regulation constrains the organization of genes on eukaryotic chromosomes" 105 : 15761-15766, 2008

      3 Dixon JR, "Topological domains in mammalian genomes identified by analysis of chromatin interactions" 485 : 376-380, 2012

      4 Sexton T, "Three-dimensional folding and functional organization principles of the Drosophila genome" 148 : 458-472, 2012

      5 Diament A, "Three-dimensional eukaryotic genomic organization is strongly correlated with codon usage expression and function" 5 : 5876-, 2014

      6 Leinonen R, "The sequence read archive" 39 : D19-D21, 2011

      7 Ragoczy T, "The locus control region is required for association of the murine beta-globin locus with engaged transcription factories during erythroid maturation" 20 : 1447-1457, 2006

      8 Kent WJ, "The human genome browser at UCSC" 12 : 996-1006, 2002

      9 Glass CK, "The coregulator exchange in transcriptional functions of nuclear receptors" 14 : 121-141, 2000

      10 Mi H, "The PANTHER database of protein families, subfamilies, functions and pathways" 33 : D284-D288, 2005

      11 Li C, "The 3DGD: a database of genome 3D structure" 30 : 1640-1642, 2014

      12 Huang DW, "Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources" 4 : 44-57, 2009

      13 Nagano T, "Single-cell Hi-C reveals cell-to-cell variability in chromosome structure" 502 : 59-64, 2013

      14 Yaffe E, "Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture" 43 : 1059-1065, 2011

      15 Wood V, "PomBase: a comprehensive online resource for fission yeast" 40 : D695-D699, 2012

      16 Hahn S, "Physical origin of the contact frequency in chromosome conformation capture data" 105 : 1786-1795, 2013

      17 Khatri P, "Onto-Tools: an ensemble of web-accessible, ontology-based tools for the functional design and interpretation of high-throughput gene expression experiments" 32 : W449-W456, 2004

      18 Fraser P, "Nuclear organization of the genome and the potential for gene regulation" 447 : 413-417, 2007

      19 Solovei I, "Nuclear architecture of rod photoreceptor cells adapts to vision in mammalian evolution" 137 : 356-368, 2009

      20 Dice LR, "Measure of the amount of ecologic association between species" 26 : 297-302, 1945

      21 Tanizawa H, "Mapping of long-range associations throughout the fission yeast genome reveals global genome organization linked to transcriptional regulation" 38 : 8164-8177, 2010

      22 Rippe K, "Making contacts on a nucleic acid polymer" 26 : 733-740, 2001

      23 Vernimmen D, "Long-range chromosomal interactions regulate the timing of the transition between poised and active gene expression" 26 : 2041-2051, 2007

      24 Imakaev M, "Iterative correction of Hi-C data reveals hallmarks of chromosome organization" 9 : 999-1003, 2012

      25 Spilianakis CG, "Interchromosomal associations between alternatively expressed loci" 435 : 637-645, 2005

      26 Hahn S, "Identifying and reducing systematic errors in chromosome conformation capture data" 10 : e0146007-, 2015

      27 Chang CW, "Identification of human housekeeping genes and tissue-selective genes by microarray meta-analysis" 6 : e22859-, 2011

      28 Zhu J, "How many human genes can be defined as housekeeping with current expression data" 9 : 172-, 2008

      29 Hu M, "HiCNorm: removing biases in Hi-C data via Poisson regression" 28 : 3131-3133, 2012

      30 Johnson DS, "Genome-wide mapping of in vivo protein-DNA interactions" 316 : 1497-1502, 2007

      31 Kalhor R, "Genome architectures revealed by tethered chromosome conformation capture and population-based modeling" 30 : 90-98, 2012

      32 Ashburner M, "Gene ontology: tool for the unification of biology. The Gene Ontology Consortium" 25 : 25-29, 2000

      33 Beissbarth T, "GOstat: find statistically overrepresented gene ontologies within a group of genes" 20 : 1464-1465, 2004

      34 Martin D, "GOToolBox: functional analysis of gene datasets based on gene ontology" 5 : R101-, 2004

      35 Li G, "Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation" 148 : 84-98, 2012

      36 Lanctot C, "Dynamic genome architecture in the nuclear space: regulation of gene expression in three dimensions" 8 : 104-115, 2007

      37 Ethier SD, "Discovering genome regulation with 3C and 3C-related technologies" 1819 : 401-410, 2012

      38 Lieberman-Aiden E, "Comprehensive mapping of long-range interactions reveals folding principles of the human genome" 326 : 289-293, 2009

      39 Warrington JA, "Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes" 2 : 143-147, 2000

      40 Neph S, "Circuitry and dynamics of human transcription factor regulatory networks" 150 : 1274-1286, 2012

      41 Cremer T, "Chromosome territories, nuclear architecture and gene regulation in mammalian cells" 2 : 292-301, 2001

      42 Gondor A, "Chromosome crosstalk in three dimensions" 461 : 212-217, 2009

      43 Tark-Dame M, "Chromatin folding–from biology to polymer models and back" 124 : 839-845, 2011

      44 Zhang Y, "Chromatin connectivity maps reveal dynamic promoter-enhancer long-range associations" 504 : 306-310, 2013

      45 Visel A, "ChIP-seq accurately predicts tissue-specific activity of enhancers" 457 : 854-858, 2009

      46 Martin P, "Capture Hi-C reveals novel candidate genes and complex longrange interactions with related autoimmune risk loci" 6 : 10069-, 2015

      47 Fullwood MJ, "An oestrogen-receptoralpha-bound human chromatin interactome" 462 : 58-64, 2009

      48 Osborne CS, "Active genes dynamically colocalize to shared sites of ongoing transcription" 36 : 1065-1071, 2004

      49 Duan Z, "A threedimensional model of the yeast genome" 465 : 363-367, 2010

      50 Chagoyen M, "A literature-based similarity metric for biological processes" 7 : 363-, 2006

      51 Kruse K, "A complex network framework for unbiased statistical analyses of DNA–DNA contact maps" 41 : 701-710, 2013

      52 Hsiao LL, "A compendium of gene expression in normal human tissues" 7 : 97-104, 2001

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      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
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      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
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