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Genome-wide analysis of epigenetic dynamics across human developmental stages and tissues.
Zhang, Xia; Gan, Yanglan; Zou, Guobing; Guan, Jihong; Zhou, Shuigeng.
Afiliação
  • Zhang X; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Gan Y; School of Computer Science and Technology, Donghua University, Shanghai, China. ylgan@dhu.edu.cn.
  • Zou G; School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Guan J; Department of Computer Science and Technology,Tongji University, Shanghai, China.
  • Zhou S; Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China.
BMC Genomics ; 20(Suppl 2): 221, 2019 Apr 04.
Article em En | MEDLINE | ID: mdl-30967107
ABSTRACT

BACKGROUND:

Epigenome is highly dynamic during the early stages of embryonic development. Epigenetic modifications provide the necessary regulation for lineage specification and enable the maintenance of cellular identity. Given the rapid accumulation of genome-wide epigenomic modification maps across cellular differentiation process, there is an urgent need to characterize epigenetic dynamics and reveal their impacts on differential gene regulation.

METHODS:

We proposed DiffEM, a computational method for differential analysis of epigenetic modifications and identified highly dynamic modification sites along cellular differentiation process. We applied this approach to investigating 6 epigenetic marks of 20 kinds of human early developmental stages and tissues, including hESCs, 4 hESC-derived lineages and 15 human primary tissues.

RESULTS:

We identified highly dynamic modification sites where different cell types exhibit distinctive modification patterns, and found that these highly dynamic sites enriched in the genes related to cellular development and differentiation. Further, to evaluate the effectiveness of our method, we correlated the dynamics scores of epigenetic modifications with the variance of gene expression, and compared the results of our method with those of the existing algorithms. The comparison results demonstrate the power of our method in evaluating the epigenetic dynamics and identifying highly dynamic regions along cell differentiation process.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Humano / Regulação da Expressão Gênica no Desenvolvimento / Linhagem da Célula / Células-Tronco Embrionárias / Epigenômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Humano / Regulação da Expressão Gênica no Desenvolvimento / Linhagem da Célula / Células-Tronco Embrionárias / Epigenômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China