• 제목/요약/키워드: Human Genome

검색결과 896건 처리시간 0.028초

Meta- and Gene Set Analysis of Stomach Cancer Gene Expression Data

  • Kim, Seon-Young;Kim, Jeong-Hwan;Lee, Heun-Sik;Noh, Seung-Moo;Song, Kyu-Sang;Cho, June-Sik;Jeong, Hyun-Yong;Kim, Woo Ho;Yeom, Young-Il;Kim, Nam-Soon;Kim, Sangsoo;Yoo, Hyang-Sook;Kim, Yong Sung
    • Molecules and Cells
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    • 제24권2호
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    • pp.200-209
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    • 2007
  • We generated gene expression data from the tissues of 50 gastric cancer patients, and applied meta-analysis and gene set analysis to this data and three other stomach cancer gene expression data sets to define the gene expression changes in gastric tumors. By meta-analysis we identified genes consistently changed in gastric carcinomas, while gene set analysis revealed consistently changed biological themes. Genes and gene sets involved in digestion, fatty acid metabolism, and ion transport were consistently down-regulated in gastric carcinomas, while those involved in cellular proliferation, cell cycle, and DNA replication were consistently up-regulated. We also found significant differences between the genes and gene sets expressed in diffuse and intestinal type gastric carcinoma. By gene set analysis of cytogenetic bands, we identified many chromosomal regions with possible gross chromosomal changes (amplifications or deletions). Similar analysis of transcription factor binding sites (TFBSs), revealed transcription factors that may have caused the observed gene expression changes in gastric carcinomas, and we confirmed the overexpression of one of these, E2F1, in many gastric carcinomas by tissue array and immunohistochemistry. We have incorporated the results of our meta- and gene set analyses into a web accessible database (http://human-genome.kribb.re.kr/stomach/).

유전체맞춤의료를 둘러싼 인체유래물 및 인간유전체 정보의 도덕성 논쟁 - 잊혀질 권리와 공유할 의무를 중심으로 - (Moral Debate on the Use of Human Materials and Human Genome Information in Personalized Genomic Medicine: - A Study Focusing on the Right to be Forgotten and Duty to Share -)

  • 정창록
    • 의료법학
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    • 제17권1호
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    • pp.45-105
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    • 2016
  • 본 논문은 현대 유전체 맞춤 의료에서 인간유전체 정보를 둘러싼 잊혀질 권리와 공유할 의무를 중심으로 전개되는 논쟁들을 살펴보고 그 의의를 고찰하는 것을 목적으로 한다. 이 목적을 위해 필자는 먼저 인간유전체 맞춤 의료의 정의와 이슈를 정리해 볼 것이다. 이후 본 논문은 인체유래물 및 인간유전체 정보를 둘러싼 논란을 크게 두 방향에서 전개한다. 두 방향이란 인간유전체 정보의 소위 개인적인 측면과 공동체적 측면을 말한다. 인간유전체 정보는 과연 누구의 것일까? 한 개인의 것일까? 그 개인이 속한 가족이나 공동체의 것일까? 필자는 인간유전체 정보가 이 두 속성을 모두 갖는다고 본다. 그리고 이 두 속성은 정보가공과 관련하여 개인과 공동체의 입장차를 중심으로 정보가공자인 연구자와 정보소유를 둘러싼 몇몇 문제를 제기한다. 그리고 이렇게 제기된 문제는 또 다른 의문을 불러일으킨다. 인체유래물로부터 그 정보를 가공한 연구자는 그 정보에 대해 얼마만큼의 소유권을 주장할 수 있을 것인가? 본 논문에서 필자는 이러한 문제의식들을 가지고 헬라세포(HeLa cell), 트리스탄 다 쿠나(Tristan da Cunha)섬 사람들의 천식유전자 특허, 과이미(Guaymi)여성 세포주, 하가하이(Hagahai)남성 세포주 등의 사례를 통해 유전체 맞춤의료를 위한 연구와 유전정보데이터베이스 구축에서 벌어지는 다양한 논쟁점들을 고찰해 보려 노력한다. 마지막으로 필자는 인체유래물 및 인간유전체 정보의 잊혀질 권리와 공유할 의무의 변증법적 종합을 몇몇 도덕철학자들의 입장을 통해 시도해 본다.

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Perspectives of International Human Epigenome Consortium

  • Bae, Jae-Bum
    • Genomics & Informatics
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    • 제11권1호
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    • pp.7-14
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    • 2013
  • As the International Human Epigenome Consortium (IHEC) launched officially at the 2010 Washington meeting, a giant step toward the conquest of unexplored regions of the human genome has begun. IHEC aims at the production of 1,000 reference epigenomes to the international scientific community for next 7-10 years. Seven member institutions, including South Korea, Korea National Institute of Health (KNIH), will produce 25-200 reference epigenomes individually, and the produced data will be publically available by using a data center. Epigenome data will cover from whole genome bisulfite sequencing, histone modification, and chromatin access information to miRNA-seq. The final goal of IHEC is the production of reference maps of human epigenomes for key cellular status relevant to health and disease.

DNA Chip Technologies

  • Hwang, Seoung-Yong;Lim, Geun-Bae
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제5권3호
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    • pp.159-163
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    • 2000
  • The genome sequencing project has generated and will contitute to generate enormous amounts of sequence data. Since the first complete genome sequence of bacterium Haemophilus in fluenzae was published in 1995, the complete genome sequences of 2 eukaryotic and about 22 prokaryotic organisms have detemined. Given this everincreasing amounts of sequence information, new strategies are necessary to efficiently pursue the phase of the geome project- the elucidation of gene expression patterns and gene product function on a whole genome scale. In order to assign functional information to the genome sequence, DNA chip technology was developed to efficienfly identify the differential expression pattern of indepondent biogical samples. DNA chip provides a new tool for genome expreesion analysis that may revolutionize revolutionize many aspects of human kife including mew surg discovery and human disease diagnostics.

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Structural Variation of Alu Element and Human Disease

  • Kim, Songmi;Cho, Chun-Sung;Han, Kyudong;Lee, Jungnam
    • Genomics & Informatics
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    • 제14권3호
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    • pp.70-77
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    • 2016
  • Transposable elements are one of major sources to cause genomic instability through various mechanisms including de novo insertion, insertion-mediated genomic deletion, and recombination-associated genomic deletion. Among them is Alu element which is the most abundant element, composing ~10% of the human genome. The element emerged in the primate genome 65 million years ago and has since propagated successfully in the human and non-human primate genomes. Alu element is a non-autonomous retrotransposon and therefore retrotransposed using L1-enzyme machinery. The 'master gene' model has been generally accepted to explain Alu element amplification in primate genomes. According to the model, different subfamilies of Alu elements are created by mutations on the master gene and most Alu elements are amplified from the hyperactive master genes. Alu element is frequently involved in genomic rearrangements in the human genome due to its abundance and sequence identity between them. The genomic rearrangements caused by Alu elements could lead to genetic disorders such as hereditary disease, blood disorder, and neurological disorder. In fact, Alu elements are associated with approximately 0.1% of human genetic disorders. The first part of this review discusses mechanisms of Alu amplification and diversity among different Alu subfamilies. The second part discusses the particular role of Alu elements in generating genomic rearrangements as well as human genetic disorders.

Loss of gene function and evolution of human phenotypes

  • Oh, Hye Ji;Choi, Dongjin;Goh, Chul Jun;Hahn, Yoonsoo
    • BMB Reports
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    • 제48권7호
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    • pp.373-379
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    • 2015
  • Humans have acquired many distinct evolutionary traits after the human-chimpanzee divergence. These phenotypes have resulted from genetic changes that occurred in the human genome and were retained by natural selection. Comparative primate genome analyses reveal that loss-of-function mutations are common in the human genome. Some of these gene inactivation events were revealed to be associated with the emergence of advantageous phenotypes and were therefore positively selected and fixed in modern humans (the "less-ismore" hypothesis). Representative cases of human gene inactivation and their functional implications are presented in this review. Functional studies of additional inactive genes will provide insight into the molecular mechanisms underlying acquisition of various human-specific traits. [BMB Reports 2015; 48(7): 373-379]

Identification and Characterization of Human Genes Targeted by Natural Selection

  • Ryu, Ha-Jung;Kim, Young-Joo;Park, Young-Kyu;Kim, Jae-Jung;Park, Mi-Young;Seo, Eul-Ju;Yoo, Han-Wook;Park, In-Sook;Oh, Berm-Seok;Lee, Jong-Keuk
    • Genomics & Informatics
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    • 제6권4호
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    • pp.173-180
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    • 2008
  • The human genome has evolved as a consequence of evolutionary forces, such as natural selection. In this study, we investigated natural selection on the human genes by comparing the numbers of nonsynonymous (NS) and synonymous (S) mutations in individual genes. We initially collected all coding SNP data of all human genes from the public dbSNP. Among the human genes, we selected 3 different selection groups of genes: positively selected genes (NS/S${\geq}$3), negatively selected genes (NS/S${\leq}$1/3) and neutral selection genes (0.9