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RISS 인기검색어
- 검색키워드
- 저자 : Sayed Mostafa Hosseini (검색결과 2 건)
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Sara Hajipour,Sayed Mostafa Hosseini,Shiva Irani,Mahmood Tavallaie Korea Genome Organization 2023 Genomics & informatics Vol.21 No.3
Non-small cell lung cancer (NSCLC) is an important cause of cancer-associated deaths worldwide. Therefore, the exact molecular mechanisms of NSCLC are unidentified. The present investigation aims to identify the miRNAs with predictive value in NSCLC. The two datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DEmiRNA) and mRNAs (DEmRNA) were selected from the normalized data. Next, miRNA-mRNA interactions were determined. Then, co-expression network analysis was completed using the WGCNA package in R software. The co-expression network between DEmiRNAs and DEmRNAs was calculated to prioritize the miRNAs. Next, the enrichment analysis was performed for DEmiRNA and DEmRNA. Finally, the drug-gene interaction network was constructed by importing the gene list to dgidb database. A total of 3,033 differentially expressed genes and 58 DEmiRNA were recognized from two datasets. The co-expression network analysis was utilized to build a gene co- expression network. Next, four modules were selected based on the Z<sub>summary</sub> score. In the next step, a bipartite miRNA-gene network was constructed and hub miRNAs (let-7a-2-3p, let-7d-5p, let-7b-5p, let-7a-5p, and let-7b-3p) were selected. Finally, a drug-gene network was constructed while SUNITINIB, MEDROXYPROGESTERONE ACETATE, DOFETILIDE, HALOPERIDOL, and CALCITRIOL drugs were recognized as a beneficial drug in NSCLC. The hub miRNAs and repurposed drugs may act a vital role in NSCLC progression and treatment, respectively; however, these results must validate in further clinical and experimental assessments.
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Mohammad Mehdi Papari,Sayed Mostafa Hosseini,Fatemeh Fadaei-Nobandegani,Jalil Moghadasi 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.11
Ihm-Song-Mason (ISM) equation of state (EOS) has been previously employed for modeling the volumetric properties of ionic liquids (ILs). The novelty of the present work is in replacing the macroscopic scaling constants with microscopic ones. Three temperature-dependent parameters that appeared in the EOS, which are universal functions of the reduced temperature, were determined using these new microscopic scaling constants. These parameters are the effective hard-sphere diameter (σ) and the non-bonded interaction energy between two spheres (ε). The present EOS is evaluated by examination of 3997 experimental density data points for five classes of ILs. The average absolute deviation (AAD) of the calculated densities from literature values was found to be of the order of 0.38%. Our calculations involved a broad range of temperature from 293 K to 472 K and pressures from 0.1MPa up to 200MPa. Another aspect of the present study is the extension of the proposed EOS to predict density of binary mixtures involving IL+ water and IL+ IL. In the case of binary mixtures, 898 data points were taken to assess the capability of the EOS. The overall AAD of the calculated mixture densities from the literature ones was within 0.43%.
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