Volume 12, Issue 1 (January & February 2021)
BCN 2021, 12(1): 79-88 |
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Mona Zamanian Azodi1 
, Mostafa Rezaei Tavirani * 1, Majid Rezaei Tavirani2 , Mohammad Rostami Nejad3
, Mostafa Rezaei Tavirani * 1, Majid Rezaei Tavirani2 , Mohammad Rostami Nejad3
1- Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Department of Surgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
3- Research Institute For Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Department of Surgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
3- Research Institute For Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abstract:
Introduction: Down syndrome as a genetic disorder is a popular research topic in molecular studies. One way to study Down syndrome is via bioinformatics.
Methods: In this study, a gene expression profile from a microarray study was selected for more investigation.
Results: The study of Down syndrome patients shows specific genes with differential expression and network centrality properties. These genes are introduced as RHOA, FGF2, FYN, and CD44, and their level of expression is high in these patients.
Conclusion: This study suggests that besides chromosomes 21, there are additional contributing chromosomes to the risk of Down syndrome development. Besides, these genes could be used for clinical studies after more analysis.
Methods: In this study, a gene expression profile from a microarray study was selected for more investigation.
Results: The study of Down syndrome patients shows specific genes with differential expression and network centrality properties. These genes are introduced as RHOA, FGF2, FYN, and CD44, and their level of expression is high in these patients.
Conclusion: This study suggests that besides chromosomes 21, there are additional contributing chromosomes to the risk of Down syndrome development. Besides, these genes could be used for clinical studies after more analysis.
Keywords: Down Syndrome, Protein interaction Maps, Transcriptome, Differentially Expressed Genes, Biological Process
Type of Study: Original |
Subject:
Behavioral Neuroscience
Received: 2018/12/15 | Accepted: 2019/01/14 | Published: 2018/01/1
Received: 2018/12/15 | Accepted: 2019/01/14 | Published: 2018/01/1
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