DocumentCode :
683774
Title :
Analysis of gene expression in different cell types
Author :
Yanning Cai ; Xianhua Dai
Author_Institution :
Sch. of Inf. Sci. & Technol., Sun Yat-sen Univ., Guangzhou, China
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
197
Lastpage :
201
Abstract :
Cellular states are plastic, and even terminally differentiated cells can be reprogrammed to pluripotency by ectopic expression of selected transcription factors, yet it remains inefficient in practice. Cell reprogramming is remarkable for its potential to impact research and therapies because induced pluripotent stem (iPS) cells are similar to embryo stem (ES) cells in many aspects so that they are suitable substitute for ES cells. Since distinct gene expression pattern is one of the most important features of specific cell state, we analyze the relationship between gene expression and the cell state. In this paper, we chose human ES cells, iPS cells, and fibroblasts to compare. Our results show that iPS cells have an ES cell-like expression pattern and suggest that those genes which have distinct expression intensities in different cell states perform significant function in cell fate regulation. What´s more, genome-wide occupancy maps have revealed the correlation between the ectopic expression factors and the gene expression intensities.
Keywords :
cellular biophysics; gene therapy; genomics; ES cell-like expression pattern; cell fate regulation; cell reprogramming; cell therapies; cell types; cellular states; ectopic expression factor; embryo stem cells; fibroblasts; gene expression analysis; gene expression intensities; gene expression pattern; genome-wide occupancy maps; human ES cells; iPS cells; induced pluripotent stem cells; plastic state; pluripotency; specific cell states; terminally differentiated cells; transcription factor; Bioinformatics; DNA; Fibroblasts; Gene expression; Genomics; Proteins; Stem cells; ES cells; fibroblast; gene expression; iPS cells; pluripotent;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2760-9
Type :
conf
DOI :
10.1109/BMEI.2013.6746933
Filename :
6746933
Link To Document :
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