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Integrated gene expression profiling and functional enrichment analyses to discover biomarkers and pathways associated with Guillain-Barré syndrome and autism spectrum disorder to identify new therapeutic targets.
Hasib, Rizone Al; Ali, Md Chayan; Rahman, Md Habibur; Ahmed, Sabbir; Sultana, Shaharin; Summa, Sadia Zannat; Shimu, Mst Sharmin Sultana; Afrin, Zinia; Jamal, Mohammad Abu Hena Mostofa.
Afiliação
  • Hasib RA; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh.
  • Ali MC; Laboratory of Medical and Environmental Biotechnology Islamic University, Kushtia, Bangladesh.
  • Rahman MH; Department of Biochemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Ahmed S; Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh.
  • Sultana S; Center for Advanced Bioinformatics and Artificial Intelligent Research, Islamic University, Kushtia, Bangladesh.
  • Summa SZ; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh.
  • Shimu MSS; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh.
  • Afrin Z; Laboratory of Medical and Environmental Biotechnology Islamic University, Kushtia, Bangladesh.
  • Jamal MAHM; Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh.
J Biomol Struct Dyn ; : 1-23, 2023 Sep 29.
Article em En | MEDLINE | ID: mdl-37776011
17 common differentially expressed genes (DEGs) were identified from 693 DEGs of the GBS dataset (GSE72748) and 365 DEGs of the ASD dataset (GSE113834), which is the preliminary part of this investigation.From the PPI network analysis, a total of 10 hub genes were identified and two common DEGs named CXCL9 and CXCL10 were found in both the hub gene and essential module analysis.The identified leading pathways and GO pathways, TF-gene interaction, and TF-miRNAs network has made the process more relevant and appropriate for suggesting probable drug candidates.Among the drug candidates, imatinib was suggested as the main drug candidate due to its interaction with the hub gene CXCL9 and CXCL10 and lower p value than the other candidates. It showed the highest binding affinity score and remained stable with the CXCR3 chemokine receptor.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article