Title :
Ethanol Effects on Transcription Factor Network Regulating Stem Cell Differentiation
Author :
Vadigepalli, Rajanikanth ; Ogony, Joshua ; Anni, Helen
Author_Institution :
Dept. of Pathology, Thomas Jefferson Univ., Philadelphia, PA, USA
fDate :
May 31 2010-June 3 2010
Abstract :
This study probes the effects of ethanol on the molecular mechanisms regulating the differentiation of embryonic stem (ES) cells towards neuroectodermal state, which may be responsible for the abnormalities observed in fetal alcohol spectrum disorders (FASD). The effects of ethanol on the early phase of ES cell differentiation have not been well characterized. Here, we investigate the stage-specific action of ethanol during early embryogenesis by an integrated experimental and computational modeling approach. Our experimental system consists of mouse ES cells and directed differentiation to neuroectodermal fate in the presence of ethanol. Experimental single-cell multiplex data on the expression of the ES core transcription factors (TFs), Sox2, Oct4 and Nanog were obtained simultaneously by multicolor flow cytometry in live cells. Single-cell flow cytometric data were analyzed by ARACNE probabilistic modeling to construct transcriptional regulatory networks and quantify the TFs interactions in a pairwisemanner. Our analysis indicates that during differentiation towards neuroectodermal fate ethanol accelerates (i) the decline of the expression levels of Sox2 and Nanog, and (ii) the decreasing strength of the correlative interactions between the core TFs which is also reflected in (iii) an advanced differentiation phenotype.
Keywords :
biochemistry; biomedical measurement; cellular biophysics; flow measurement; medical disorders; molecular biophysics; neurophysiology; obstetrics; probability; ARACNE probabilistic modeling; ES core transcription factors; Nanog; Oct4; Sox2; correlative interactions; embryogenesis; embryonic stem cells; ethanol effects; fetal alcohol spectrum disorders; molecular mechanisms; multicolor flow cytometry; neuroectodermal state; single-cell multiplex data; stage-specific action; stem cell differentiation; transcription factor network; transcriptional regulatory networks; Acceleration; Bioinformatics; Birth disorders; Embryo; Ethanol; Fluid flow measurement; Fluorescence; Mice; Nanobioscience; Stem cells; ethanol; mouse embryonic stem cells differentiation; multiparametric flow cytometry; probabilistic networks; transcription factors;
Conference_Titel :
BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4244-7494-3
DOI :
10.1109/BIBE.2010.62