Multidisciplinary insight into clonal expansion of HTLV-1–infected cells in adult T-cell leukemia via modeling by deterministic finite automata coupled with high-throughput sequencing
作者: Amir FarmanbarSanaz FirouziSung-Joon ParkKenta NakaiKaoru UchimaruToshiki Watanabe
作者单位: 1Graduate School of Frontier Sciences, The University of Tokyo
2Institute of Medical Science, The University of Tokyo
3Institute of Medical Sciences, The University of Tokyo
4St. Marianna University School of Medicine
刊名: BMC Medical Genomics, 2017, Vol.10 (1)
来源数据库: Springer Journal
DOI: 10.1186/s12920-016-0241-2
关键词: Mathematical computational modelingDeterministic finite state automata (DFA)State-transition diagramAdult T-cell leukemiaHuman T-cell leukemia virus ype-1Integration siteClonal expansionNext-generation sequencing
英文摘要: Clonal expansion of leukemic cells leads to onset of adult T-cell leukemia (ATL), an aggressive lymphoid malignancy with a very poor prognosis. Infection with human T-cell leukemia virus type-1 (HTLV-1) is the direct cause of ATL onset, and integration of HTLV-1 into the human genome is essential for clonal expansion of leukemic cells. Therefore, monitoring clonal expansion of HTLV-1–infected cells via isolation of integration sites assists in analyzing infected individuals from early infection to the final stage of ATL development. However, because of the complex nature of clonal expansion, the underlying mechanisms have yet to be clarified. Combining computational/mathematical modeling with experimental and clinical data of integration site–based clonality analysis derived from next...
原始语种摘要: Clonal expansion of leukemic cells leads to onset of adult T-cell leukemia (ATL), an aggressive lymphoid malignancy with a very poor prognosis. Infection with human T-cell leukemia virus type-1 (HTLV-1) is the direct cause of ATL onset, and integration of HTLV-1 into the human genome is essential for clonal expansion of leukemic cells. Therefore, monitoring clonal expansion of HTLV-1–infected cells via isolation of integration sites assists in analyzing infected individuals from early infection to the final stage of ATL development. However, because of the complex nature of clonal expansion, the underlying mechanisms have yet to be clarified. Combining computational/mathematical modeling with experimental and clinical data of integration site–based clonality analysis derived from next...
全文获取路径: Springer  (合作)
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来源刊物:
影响因子:3.466 (2012)

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关键词翻译
关键词翻译
  • automata 自动机
  • modeling 制祝型
  • expansion 膨胀
  • integration 集成
  • leukemia 白血病
  • clonal 无性系的
  • computational 计算的
  • sequencing 排序
  • deterministic 确定性
  • transition 转移