Kiechl, S. While the first describes known associations between proteins, such as the formation of protein complexes or kinase-substrate interactions, regulatory networks are fundamental to take into account the regulation exerted by transcription factors on gene expression. Statistical analyses of zebrafish data were conducted using GraphPad Prism 6. Alanis-Lobato, G. For the adipose network, this analysis resulted in a list of 28 significant drugs, for the liver network 31 significant drugs were identified, while for the muscle network the analysis resulted in 50 significant drugs.
Francesca R. Jensenius. ∗ – Abstract. This paper estimates the constituency-level development effects of quotas for the. Scheduled Castes (SCs) in India, using a unique dataset of development indicators . therefore percent of those seats were to be assigned to be reserved (∗ = ≈ 39). Two piece bikini with low waist bottom. Top features push up style and bottom has Brazilian coverage.
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Newman, A. For pre-treatment, ibrutinib was administered into E3 fish water containing PTU. Network-based drug modules Network-based drug modules were generated by mapping drug profiles to the networks and connecting the mapped proteins.
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SB: swim bladder. The computational pipeline herein proposed depicts a systems biology approach to study the biological processes involved in MetSyn and to determine potential new pharmaceutical treatments via drug repurposing.
Metabolic Syndrome MetSyn is a highly prevalent pathological condition defined by a clustering of comorbidities that increases the risk of cardiovascular diseases and type 2 diabetes mellitus.
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Download PDF. Transparent adult zebrafish as a tool for in vivo transplantation analysis. Potential new therapeutic applications of already approved drugs are identified using a proximity score, which integrates a network-based distance and a functional similarity measurement.
The approach we followed is based on genomic regions and thus includes also genes that are not causative risk factors for metabolic syndrome. Cell detection in the defined region was performed using a highly inclusive method based on the eGFP normalized signal Supplementary fig.
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Based on the activity scores, edge weights in the range of [0, 2] are provided.
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Help us improve our products. Supplementary information. The network-based drug module was then formed by the drug target, the selected subset of drug signature proteins and the shortest paths connecting them.
Treatment of HFD-fed zebrafish larvae with ibrutinib was able to significantly diminish the expression of srebf1 Fig. Progatzky, F. The extracted SNPs were mapped to official gene symbols based on their genomic location.
In total, these networks include MetSyn genes, of which 81 are. containing either high fat cream (HFD) or high cholesterol (HCD), as shown in Fig.
8a. Francesca Lorenzini;, Valeria Savoca;, Maria Caterina Mione.
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This mouse model, when fed with a high fat diet HFDwas shown to develop obesity, insulin resistance, increased adipocyte size, and increased expression of macrophage markers Bloode49—e56 In addition to macrophages, B cells themselves have been implicated in adipose tissue inflammation and insulin resistance 5758providing additional support for BTK involvement in obesity-related inflammation.
If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. To include only the most reliable interactions, the cut-off value of 0. Additional MetSyn genes were identified using text mining of PubMed abstracts.
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|Thus, we devised a multi-step procedure to identify genes associated with MetSyn starting from the results of GWAS of relevant traits.
To test the score significance, the distance between drug and disease modules is compared to a reference distribution of scores computed with drug modules randomly chosen from the network. Moreover, we show the effectiveness of ibrutinib treatment in lowering obesity-associated inflammation in zebrafish larvae by reducing macrophage accumulation, confirming the repurposing potential of ibrutinib in the context of obesity.
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