alexa Transcriptomic Profiling of Medial Temporal Lobe Epilep
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Research Article

Transcriptomic Profiling of Medial Temporal Lobe Epilepsy

Abhilash K. Venugopal1,2,3,4, Ghantasala S. Sameer Kumar1,2, Anita Mahadevan5, Lakshmi Dhevi N. Selvan1,6, Arivusudar Marimuthu1,7,Jyoti Bajpai Dikshit8, Pramila Tata8, Ramachandra YL2, Raghothama Chaerkady1,2,3,4, Sanjib Sinha9, Chandramouli BA10, Arivazhagan A10, Parthasarathy Satishchandra9*, Shankar SK5 and Akhilesh Pandey3,4,11,12*

1Institute of Bioinformatics, International Technology Park, Bangalore, India

2Department of Biotechnology, Kuvempu University, Shimoga, India

3McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

4Departments of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

5Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bangalore, India

6School of Biotechnology, Amrita University Kollam 690525, India

7Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India

8Strand Life Sciences, Bangalore, India

9Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India

10Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India

11Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

12Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

*Corresponding Authors:
Dr. Akhilesh Pandey, MD, Ph.D
McKusick-Nathans Institute of Genetic Medicine
733 N. Broadway, BRB 527, Johns Hopkins University, Baltimore, USA
Tel: 410-502-6662
Fax: 410-502-7544
E-mail: [email protected]

Dr. Satishchandra P, MD, DM
Department of Neurology
National Institute of Mental Health and Neurosciences
Bangalore, India
Tel: 91-080-26995001/5002
Fax: 91- 080-26564830
E-mail: sa[email protected]

Received Date: December 21, 2011; Accepted Date: January 18, 2012; Published Date: January 30, 2012

Citation: Venugopal AK, Sameer Kumar GS, Mahadevan A, Selvan LDN, Marimuthu A, et al. (2012) Transcriptomic Profiling of Medial Temporal Lobe Epilepsy. J Proteomics Bioinform 5: 031-039. doi: 10.4172/jpb.1000210

Copyright: © 2012 Venugopal AK, 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.

 

Abstract

Epilepsy is one of the most prevalent neurological disorders affecting ~1% of the population. Medial temporal lobe epilepsy (MTLE) is the most frequent type of epilepsy observed in adults who do not respond to pharmacological treatment. The reason for intractability in these patients has not been systematically studied. Further, no markers are available that can predict the subset of patients who will not respond to pharmacotherapy. To identify potential biomarkers of epileptogenicity, we compared the mRNA profiles of surgically resected tissue from seizure zones with non-seizure zones from cases of intractable MTLE. We identified 413 genes that exhibited ≥ 2-fold change that were statistically significant across these two groups. Several of these differentially expressed genes have not been previously described in the context of MTLE including claudin 11 ( CLDN11 ) and bone morphogenetic protein receptor, type IB ( BMPR1B ). In addition, we found significant downregulation of a subset of gamma-aminobutyric acid (GABA) associated genes. We also identified molecules such as BACH2 and ADAMTS15 , which are already known to be associated with epilepsy. We validated one upregulated molecule, serine/threonine kinase 31 ( STK31 ) and one downregulated molecule, SMARCA4, by immunohistochemical labeling of tissue sections. These molecules need to be further confirmed in large-scale studies to determine their potential use as diagnostic as well as prognostic markers in intractable MTLE.

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