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ISSN: 0974-8369

Biology and Medicine
Open Access

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Review Article

Integrative Bioinformatics Approaches to Analyze Molecular Events in Pluripotency

Priyanka Narad* and Upadhyaya KC

Amity Institute of Biotechnology, Amity University, Noida, Uttar Pradesh, India

*Corresponding Author:
Priyanka Narad
Amity Institute of Biotechnology
Amity University, Noida
Uttar Pradesh-201301, India
Tel: 09999302904
Email: [email protected]

Received Date: July 21, 2014; Accepted Date: August 23, 2014; Published Date:August 30, 2014

Citation: Priyanka Narad and Upadhyaya KC (2014) Integrative Bioinformatics Approaches to Analyze Molecular Events in Pluripotency. Biol Med 6:208. doi:10.4172/0974-8369.1000208

Copyright: © 2014 Narad P, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Human embryonic stem cells (hESCs) have the capacity to proliferate almost indefinitely. Analysis of gene expression profiles of hESCs could offer an insight into the crucial genes concerned in maintaining pluripotency and the genes that may be involved in cell differentiation. Combining network and high throughput data enables to understand the role of epigenetic mechanisms, signalling pathways and transcription factors responsible in human pluripotency and screening of putative mechanistic relationships, validation of existing knowledge, yielding hypotheses, and suggestions for new experiments. Decoding the hub of factors and their associated interactions is an important beginning to understand the complexities associated with the hESCs and transfer the knowledge for creation of human induced pluripotent stem cells (hIPS). This review is aimed at increasing the elemental information of integrative bioinformatics approaches useful for studying self-renewal and differentiation processes using new holistic data on gene expression and epigenetic marks associated with cell pluripotency. Two basic approaches namely the representation as biological networks and semantic web technology have been described for the management of the ever increasing high throughput data. An integrated approach to disentangle the biological intricacies would be highly beneficial in the field of medical and health sciences


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