1st International and 10th National Iranian Conference on Bioinformatics
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Identification of novel genes in different regions of brains: Meta-analysis of schizophrenia transcriptome data
Paper ID : 1141-ICB10
Authors:
ARSHIA ARSHIA JAHANIMOGHADAM *1, MASOUD SHAHSAVARI2, NEGIN AHMADI JAZI3, ARIA JAHANIMOGHADAM4, JAVAD ZAHIRI5
1Department of Biology, Faculty of science, Islamic Azad University of Mashhad, Mashhad, Iran
2Department of Agronomy and Plant Breeding, College of Agriculture and Natural Resources, University of Tehran, karaj, Iran
3Department of Zoology, Faculty of Biological Science, Shahid Beheshti University, Tehran, Iran
4Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany
55 Department of Neuroscience, University of California San Diego, La Jolla, CA, USA
Abstract:
Schizophrenia (SCZ) is a severe mental disorder caused by complex genetic and environmental interplay. Despite a large amount of research was carried out in SCZ, the underlying mechanism is remained to be fully understood [1]. The available drug options for SCZ treatment showed lower than expected efficiency [2]. With the advent of high-throughput sequencing techniques along with availability of sequencing data, an urgent need to data analysis has appeared [3]. Of note, meta-analysis enables us to integrate several databases and therefore increase the reliability of the results [4]. In the present study, we obtained data from different regions of brain, integrate them and introduce new genes associated with SCZ. Microarray gene expression data from 119 samples (56 normal and 63 SCZ) were retrieved from superior temporal gyrus (STG), hippocampus (HIP), Pre-frontal cortex (PFC) and associative striatum (ASR) following by analysis and integration by GEO2R and MetaDE package respectively [5]. Initially, we identify 4026 genes with p-value < 0.05 using naive sum of the ranks method. We then narrowed our list down to 32 genes owing to removing genes having expression under |0.05| in either one of the regions. Furthermore, among the 32 mentioned genes, 27 genes were investigated experimentally in previous studies. Novel genes BOD1L1, CHM, EDN3, ENDOD1, and ANGPTL4 were found to be differentially expressed genes across all the regions. These candidate genes are of importance for further investigation as they may elucidating the SCZ etiology or being used as biomarkers in the clinical context.
Keywords:
Keywords: Schizophrenia; transcriptome; meta-analysis; biomarker
Status : Paper Accepted (Poster Presentation)