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Hamid Farajifard - One of the best experts on this subject based on the ideXlab platform.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    Retrovirology, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that significantly affected spinal cord, nevertheless, the pathogenesis pathway and reliable biomarkers have not been well determined. This study aimed to employ high Throughput meta-analysis to find major genes that are possibly involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 832, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. The protein–protein interactions between DEGs were identified in STRING and further network analyses highlighted 24 and 6 hub genes for normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. Moreover, four biologically meaningful modules including 251 genes were identified for normal vs. ACs. Biological network analyses indicated the involvement of hub genes in many vital pathways like JAK-STAT signaling pathway, interferon, Interleukins, and immune pathways in the normal vs. HAM/TSP group and Metabolism of RNA, Viral mRNA Translation, Human T cell leukemia virus 1 infection, and Cell cycle in the normal vs. ACs group. Moreover, three major genes including STAT1, TAP1, and PSMB8 were identified by network analysis. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P = 0.01 and P = 0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P = 0.04 and P = 0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P = 0.008 and P = 0.02, respectively). No significant difference was found among three groups in terms of the percentage of T helper and cytotoxic T lymphocytes (P = 0.55 and P = 0.12). High-Throughput Data integration disclosed novel hub genes involved in important pathways in virus infection and immune systems. The comprehensive studies are needed to improve our knowledge about the pathogenesis pathways and also biomarkers of complex diseases.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    bioRxiv, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard, Mehdi Mirzaie
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that affected significantly spinal cord, nevertheless, the pathogenesis pathway. This study aimed to employ high Throughput meta-analysis to find major genes involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 385, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. STRING and further network analyses highlighted 32, 29, and 13 hub genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. Biological network analyses indicated the involvement of hub genes in the HAM/TSP group in many vital pathways like apoptosis and immune pathways. Moreover, the meta-analysis results disclosed three major genes including STAT1, TAP1, and PSMB8 which have function role in HAM/TSP progression. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P=0.01 and P=0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P=0.04 and P=0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P=0.008 and P=0.02, respectively). No significant difference was found among three groups in terms of percentage of T helper and cytotoxic T lymphocytes (P= 0.55 and P=0.12). Our results confirm that STAT1, TAP1, and PSMB8 are three important genes which their expressions levels were changed in three different groups. These proteins in association with other proteins can involve in the immune and apoptosis pathways.

Mohadeseh Zarei Ghobadi - One of the best experts on this subject based on the ideXlab platform.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    Retrovirology, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that significantly affected spinal cord, nevertheless, the pathogenesis pathway and reliable biomarkers have not been well determined. This study aimed to employ high Throughput meta-analysis to find major genes that are possibly involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 832, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. The protein–protein interactions between DEGs were identified in STRING and further network analyses highlighted 24 and 6 hub genes for normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. Moreover, four biologically meaningful modules including 251 genes were identified for normal vs. ACs. Biological network analyses indicated the involvement of hub genes in many vital pathways like JAK-STAT signaling pathway, interferon, Interleukins, and immune pathways in the normal vs. HAM/TSP group and Metabolism of RNA, Viral mRNA Translation, Human T cell leukemia virus 1 infection, and Cell cycle in the normal vs. ACs group. Moreover, three major genes including STAT1, TAP1, and PSMB8 were identified by network analysis. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P = 0.01 and P = 0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P = 0.04 and P = 0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P = 0.008 and P = 0.02, respectively). No significant difference was found among three groups in terms of the percentage of T helper and cytotoxic T lymphocytes (P = 0.55 and P = 0.12). High-Throughput Data integration disclosed novel hub genes involved in important pathways in virus infection and immune systems. The comprehensive studies are needed to improve our knowledge about the pathogenesis pathways and also biomarkers of complex diseases.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    bioRxiv, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard, Mehdi Mirzaie
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that affected significantly spinal cord, nevertheless, the pathogenesis pathway. This study aimed to employ high Throughput meta-analysis to find major genes involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 385, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. STRING and further network analyses highlighted 32, 29, and 13 hub genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. Biological network analyses indicated the involvement of hub genes in the HAM/TSP group in many vital pathways like apoptosis and immune pathways. Moreover, the meta-analysis results disclosed three major genes including STAT1, TAP1, and PSMB8 which have function role in HAM/TSP progression. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P=0.01 and P=0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P=0.04 and P=0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P=0.008 and P=0.02, respectively). No significant difference was found among three groups in terms of percentage of T helper and cytotoxic T lymphocytes (P= 0.55 and P=0.12). Our results confirm that STAT1, TAP1, and PSMB8 are three important genes which their expressions levels were changed in three different groups. These proteins in association with other proteins can involve in the immune and apoptosis pathways.

Sayedhamidreza Mozhgani - One of the best experts on this subject based on the ideXlab platform.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    Retrovirology, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that significantly affected spinal cord, nevertheless, the pathogenesis pathway and reliable biomarkers have not been well determined. This study aimed to employ high Throughput meta-analysis to find major genes that are possibly involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 832, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. The protein–protein interactions between DEGs were identified in STRING and further network analyses highlighted 24 and 6 hub genes for normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. Moreover, four biologically meaningful modules including 251 genes were identified for normal vs. ACs. Biological network analyses indicated the involvement of hub genes in many vital pathways like JAK-STAT signaling pathway, interferon, Interleukins, and immune pathways in the normal vs. HAM/TSP group and Metabolism of RNA, Viral mRNA Translation, Human T cell leukemia virus 1 infection, and Cell cycle in the normal vs. ACs group. Moreover, three major genes including STAT1, TAP1, and PSMB8 were identified by network analysis. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P = 0.01 and P = 0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P = 0.04 and P = 0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P = 0.008 and P = 0.02, respectively). No significant difference was found among three groups in terms of the percentage of T helper and cytotoxic T lymphocytes (P = 0.55 and P = 0.12). High-Throughput Data integration disclosed novel hub genes involved in important pathways in virus infection and immune systems. The comprehensive studies are needed to improve our knowledge about the pathogenesis pathways and also biomarkers of complex diseases.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    bioRxiv, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard, Mehdi Mirzaie
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that affected significantly spinal cord, nevertheless, the pathogenesis pathway. This study aimed to employ high Throughput meta-analysis to find major genes involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 385, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. STRING and further network analyses highlighted 32, 29, and 13 hub genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. Biological network analyses indicated the involvement of hub genes in the HAM/TSP group in many vital pathways like apoptosis and immune pathways. Moreover, the meta-analysis results disclosed three major genes including STAT1, TAP1, and PSMB8 which have function role in HAM/TSP progression. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P=0.01 and P=0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P=0.04 and P=0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P=0.008 and P=0.02, respectively). No significant difference was found among three groups in terms of percentage of T helper and cytotoxic T lymphocytes (P= 0.55 and P=0.12). Our results confirm that STAT1, TAP1, and PSMB8 are three important genes which their expressions levels were changed in three different groups. These proteins in association with other proteins can involve in the immune and apoptosis pathways.

Alexandra Kolla - One of the best experts on this subject based on the ideXlab platform.

  • high Throughput Data center topology design
    Networked Systems Design and Implementation, 2014
    Co-Authors: Ankit Singla, Brighten P Godfrey, Alexandra Kolla
    Abstract:

    With high Throughput networks acquiring a crucial role in supporting Data-intensive applications, a variety of Data center network topologies have been proposed to achieve high capacity at low cost. While this work explores a large number of design points, even in the limited case of a network of identical switches, no proposal has been able to claim any notion of optimality. The case of heterogeneous networks, incorporating multiple line-speeds and port-counts as Data centers grow over time, introduces even greater complexity. In this paper, we present the first non-trivial upper-bound on network Throughput under uniform traffic patterns for any topology with identical switches. We then show that random graphs achieve Throughput surprisingly close to this bound, within a few percent at the scale of a few thousand servers. Apart from demonstrating that homogeneous topology design may be reaching its limits, this result also motivates our use of random graphs as building blocks for design of heterogeneous networks. Given a heterogeneous pool of network switches, we explore through experiments and analysis, how the distribution of servers across switches and the interconnection of switches affect network Throughput. We apply these insights to a real-world heterogeneous Data center topology, VL2, demonstrating as much as 43% higher Throughput with the same equipment.

  • high Throughput Data center topology design
    arXiv: Networking and Internet Architecture, 2013
    Co-Authors: Ankit Singla, Brighten P Godfrey, Alexandra Kolla
    Abstract:

    With high Throughput networks acquiring a crucial role in supporting Data-intensive applications, a variety of Data center network topologies have been proposed to achieve high capacity at low cost. While this literature explores a large number of design points, even in the limited case of a network of identical switches, no proposal has been able to claim any notion of optimality. The case of heterogeneous networks, incorporating multiple line-speeds and port-counts as Data centers grow over time, introduces even greater complexity. In this paper, we present the first non-trivial upper-bound on network Throughput under uniform traffic patterns for any topology with identical switches. We then show that random graphs achieve Throughput surprisingly close to this bound, within a few percent at the scale of a few thousand servers. Apart from demonstrating that homogeneous topology design may be reaching its limits, this result also motivates our use of random graphs as building blocks to explore the design of heterogeneous networks. Given a heterogeneous pool of network switches, through experiments and analysis, we explore how the distribution of servers across switches and the interconnection of switches affect network Throughput. We apply these insights to a real-world heterogeneous Data center topology, VL2, demonstrating as much as 43% higher Throughput with the same equipment.

Majid Teymoorirad - One of the best experts on this subject based on the ideXlab platform.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    Retrovirology, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that significantly affected spinal cord, nevertheless, the pathogenesis pathway and reliable biomarkers have not been well determined. This study aimed to employ high Throughput meta-analysis to find major genes that are possibly involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 832, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. The protein–protein interactions between DEGs were identified in STRING and further network analyses highlighted 24 and 6 hub genes for normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. Moreover, four biologically meaningful modules including 251 genes were identified for normal vs. ACs. Biological network analyses indicated the involvement of hub genes in many vital pathways like JAK-STAT signaling pathway, interferon, Interleukins, and immune pathways in the normal vs. HAM/TSP group and Metabolism of RNA, Viral mRNA Translation, Human T cell leukemia virus 1 infection, and Cell cycle in the normal vs. ACs group. Moreover, three major genes including STAT1, TAP1, and PSMB8 were identified by network analysis. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P = 0.01 and P = 0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P = 0.04 and P = 0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P = 0.008 and P = 0.02, respectively). No significant difference was found among three groups in terms of the percentage of T helper and cytotoxic T lymphocytes (P = 0.55 and P = 0.12). High-Throughput Data integration disclosed novel hub genes involved in important pathways in virus infection and immune systems. The comprehensive studies are needed to improve our knowledge about the pathogenesis pathways and also biomarkers of complex diseases.

  • an insight to htlv 1 associated myelopathy tropical spastic paraparesis ham tsp pathogenesis evidence from high Throughput Data integration and meta analysis
    bioRxiv, 2019
    Co-Authors: Sayedhamidreza Mozhgani, Narges Valizadeh, Mehran Piran, Mohadeseh Zarei Ghobadi, Mohieddin Jafari, Talat Mokhtariazad, Seyed Mohammad Jazayeri, Majid Teymoorirad, Hamid Farajifard, Mehdi Mirzaie
    Abstract:

    Human T-lymphotropic virus 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a progressive disease of the central nervous system that affected significantly spinal cord, nevertheless, the pathogenesis pathway. This study aimed to employ high Throughput meta-analysis to find major genes involved in the pathogenesis of HAM/TSP. High-Throughput statistical analyses identified 385, 49, and 22 differentially expressed genes for normal vs. ACs, normal vs. HAM/TSP and ACs vs. HAM/TSP groups, respectively. STRING and further network analyses highlighted 32, 29, and 13 hub genes for normal vs. ACs, normal vs. HAM/TSP, and ACs vs. HAM/TSP groups, respectively. Biological network analyses indicated the involvement of hub genes in the HAM/TSP group in many vital pathways like apoptosis and immune pathways. Moreover, the meta-analysis results disclosed three major genes including STAT1, TAP1, and PSMB8 which have function role in HAM/TSP progression. Real-time PCR revealed the meaningful down-regulation of STAT1 in HAM/TSP samples than AC and normal samples (P=0.01 and P=0.02, respectively), up-regulation of PSMB8 in HAM/TSP samples than AC and normal samples (P=0.04 and P=0.01, respectively), and down-regulation of TAP1 in HAM/TSP samples than those in AC and normal samples (P=0.008 and P=0.02, respectively). No significant difference was found among three groups in terms of percentage of T helper and cytotoxic T lymphocytes (P= 0.55 and P=0.12). Our results confirm that STAT1, TAP1, and PSMB8 are three important genes which their expressions levels were changed in three different groups. These proteins in association with other proteins can involve in the immune and apoptosis pathways.