Comparison and Analysis of Gene Expression in the Induction of Pluripotency

被引:0
|
作者
Cai, Yan-ning [1 ]
Dai, Xian-hua [1 ]
Dai, Zhi-ming [1 ]
Zhang, Qian-hua [1 ]
机构
[1] Sun Yat Sen Univ, Guangzhou Higher Educ Mega Ctr, Sch Informat Sci & Technol, Guangzhou, Guangdong, Peoples R China
来源
INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND MATERIALS ENGINEERING (EEME 2014) | 2014年
关键词
Gene expression; ES cell; Pluripotent cell; Fibroblast; REPROGRAMMING FACTORS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Pluripotent embryonic stem cells are remarkable for their potential to differentiate into diverse cell types that make up the organism. With relatively low efficiency, induced pluripotent stem (iPS) cells can be obtained from fibroblasts upon ectopic expression of Oct4, Sox2, Klf4, and c-Myc. iPS cells are similar to embryo stem (ES) cells in many aspects. Since different cell types express distinct genes and perform different functions, we analyze the relationship between gene expression and the cell state through comparisons. In this paper, we chose ES cells, iPS cells, and fibroblasts from human and mouse to compare. Our results show that iPS cells have an ES cell-like expression pattern. Gnome-wide occupancy maps have revealed the correlation between the factor binding and the gene expression intensities.
引用
收藏
页码:1087 / 1091
页数:5
相关论文
共 50 条
  • [31] Microarray analysis of gene expression in lupus
    Mary K Crow
    Jay Wohlgemuth
    Arthritis Res Ther, 5
  • [32] Global analysis of circadian gene expression
    Lacoche, S
    Delaunay, F
    PATHOLOGIE BIOLOGIE, 2003, 51 (04): : 208 - 209
  • [33] Constraint structure analysis of gene expression
    Rifkin S.A.
    Atteson K.
    Kim J.
    Functional & Integrative Genomics, 2000, 1 (3) : 174 - 185
  • [34] Gene expression analysis of prostate cancers
    Luo, JH
    Yu, YP
    Cieply, K
    Lin, F
    Deflavia, P
    Dhir, R
    Finkelstein, S
    Michalopoulos, G
    Becich, M
    MOLECULAR CARCINOGENESIS, 2002, 33 (01) : 25 - 35
  • [35] Gene expression analysis in renal biopsies
    Schmid, H
    Cohen, CD
    Henger, A
    Schlöndorff, D
    Kretzler, M
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2004, 19 (06) : 1347 - 1351
  • [36] Stochastic algorithms for gene expression analysis
    Ohno-Machado, L
    Kuo, WP
    STOCHASTIC ALGORITHMS: FOUNDATIONS AND APPLICATIONS, 2003, 2827 : 39 - 49
  • [37] Gene expression analysis in aggressive NHL
    W. C. Chan
    J. Z. Huang
    Annals of Hematology, 2001, 80 (Suppl 3) : B38 - B41
  • [38] Microarray analysis of gene expression in lupus
    Crow, MK
    Wohlgemuth, J
    ARTHRITIS RESEARCH & THERAPY, 2003, 5 (06) : 279 - 287
  • [39] Cluster Analysis of Gene Expression Data
    Eytan Domany
    Journal of Statistical Physics, 2003, 110 : 1117 - 1139
  • [40] Clustering analysis for gene expression data
    Chen, YD
    Ermolaeva, O
    Bittner, M
    Meltzer, P
    Trent, J
    Dougherty, ER
    Batman, S
    ADVANCES IN FLUORESCENCE SENSING TECHNOLOGY IV, PROCEEDINGS OF, 1999, 3602 : 422 - 428