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- 저자 : Mahmood Solouki (검색결과 2 건)
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Rahimifard Hamedani Pouya,Solouki Mahmood,Ehsani Parastoo,Emamjomeh Abbasali,Ofoghi Hamideh 한국식물생명공학회 2021 Plant biotechnology reports Vol.15 No.3
Plants are one of the ideal models for therapeutic protein production, however the recombinant protein purifcation problems in them must be overcome. Bone Morphogenetic Protein2 (BMP2) is employed for the restoration and construction of bone tissues. Hydrophobin is a fungal based protein with high hydrophobic characteristics. Due to this specifcity, it is suitable for the purifcation of chimer protein from complex solutions when is fused to a protein utilizing an aqueous two-phase (A2P) technique. The plant optimized mature human BMP2 gene was designed and evaluated by in silico method. This process involves simulating molecular dynamics using the RMSD, RMSF and Gyration radius indexes. The synthesized Hyd-BMP2 gene was cloned into a pTRAkc-ERH plasmid and Transferred into Agrobacterium (Gv3101). The Nicotiana benthamiana plant leaves were co-agroinfltrated with HA-Hyd-BMP2 and P19-pCambia1304 containing silencing suppressor. After purifcation of plant extract utilizing the A2P method, the sample was subjected to SDS-PAGE and Western-blot. By in silico study, the simulated fusion protein proftably shows reasonable protein compactness and the efect of amino acid substitution on protein–protein interaction is not remarkable. Western-blotting using anti HA tag has shown that the A2P technique partially purifed the two 22 kDa and 44 kDa forms of Hydrophobin-BMP2. These results confrmed the presence of monomer and dimer forms of Hydrophobin-BMP2 proteins. Moreover, the expression level of the protein using P19 silencing suppressor increased six times and to 0.018% as shown by ELISA. This study presents a fast and easy technique for the purifcation of transient expressed pharmaceutical proteins from plants.
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Abbasali Emamjomeh,Elham Saboori Robat,Javad Zahiri,Mahmood Solouki,Pegah Khosravi 한국식물생명공학회 2017 Plant biotechnology reports Vol.11 No.2
Reconstruction of gene co-expression networks is a powerful tool for better understanding of gene function, biological processes, and complex disease mechanisms. In essence, co-expression network analysis has been widely used for understanding which genes are highly co-expressed through special biological processes or differentially expressed in various conditions. Development of high-throughput experiments has provided a large amount of genomic and transcriptomic data for model and nonmodel organisms. The availability of genome-wide expression data has led to the development of in silico procedures for reconstruction of gene co-expression networks. Gene co-expression networks predict unknown genes’ functions; moreover, it has been successfully applied to understand important biological processes of living organisms such as plants. In this survey, we have reviewed the algorithms, databases, and tools of gene coexpression network reconstruction, which can lead to new landscapes for further research activities. Furthermore, we explain an application of some algorithms, databases, and tools that can significantly boost our current understanding of co-expression networks in Arabidopsis thaliana as a model plant using publicly available data. The presented example shows that using co-expression networks is an efficient way to detect genes, which may involve in various critical biological processes such as defense response.
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