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ThinkMind // GLOBAL HEALTH 2012, The First International Conference on Global Health Challenges // View article global_health_2012_2_10_50024


Application of Structural Equation Modeling for Inferring Toxicity-Dependent Regulation in Human Embryonic Stem Cells

Authors:
Sachiyo Aburatani
Wataru Fujibuchi

Keywords: Structural Equation Modeling; Embryonic Stem Cell; Gene Regulatory Network; Chemical Toxicity

Abstract:
Chemical toxicity threat our daily health, especially for embryos. Reveling toxicity-dependant regulation in human embryo is one of the effective approaches to prevent some chemical effects. In previous study, we developed a network inference approach, based on Structural Equation Modeling (SEM). In this study, we improved the SEM approach and applied this enhanced approach to expression profiles in human embryonic stem cells exposed to various chemicals. The inferred gene regulatory models among neurodevelopment related genes clarify the differences between chemicals, and the network shapes reflected the features of chemical toxicities. The effects of Acrylamide toxicity finally aggregated to a neuronal cell-related gene, even though Diethylnitrosamine disturbed normal cell differentiation-related genes. Furthermore, gene regulatory network with Thalidomide was complicated, but embryonic development-related genes were estimated as the finally effected genes by Thalidomide toxicity.

Pages: 27 to 32

Copyright: Copyright (c) The Government of National Institute of Advanced Industrial Science and Technology, 2012. Used by permission to IARIA.

Publication date: October 21, 2012

Published in: conference

ISSN: 2308-4553

ISBN: 978-1-61208-243-1

Location: Venice, Italy

Dates: from October 21, 2012 to October 26, 2012

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