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Chaperonin 60 sustains osteoblast autophagy and counteracts glucocorticoid aggravation of osteoporosis by chaperoning RPTOR

Chung-Wen Kuo in:Nature Research journals • PubMed • Google Scholar Search for Feng-Sheng Wang in:Nature Research journals • PubMed • Google Scholar Contributions Study conception and design: WS Lian ... : WS Lian, JY Ko, FS Wang. Conflict of interest The authors declare that they have no conflict of interest. Corresponding author Correspondence to Feng-Sheng Wang. Rights and permissions Open

Model-based optimization approaches for precision medicine: A case study in presynaptic dopamine overactivity

, and MOST105-2627-M-194-001, grant recipient Prof. Feng-Sheng Wang. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

Fuzzy Decision Making Approach to Identify Optimum Enzyme Targets and Drug Dosage for Remedying Presynaptic Dopamine Deficiency

-E-194-045-MY3, MOST104-2627B-194-001, and MOST105-2627-M-194-001, grant recipient Prof. Feng-Sheng Wang. The funders had no role in study design, data collection and analysis, decision to publish, or

MicroRNA-29a Counteracts Synovitis in Knee Osteoarthritis Pathogenesis by Targeting VEGF

journals • PubMed • Google Scholar Search for Feng-Sheng Wang in:Nature Research journals • PubMed • Google Scholar Contributions Study conception and design: J.Y. Ko, M.S. Lee, W.S. Liam, W.T. Wen, Y.C ... drafting and revising: J.Y. Ko, M.S. Lee, F.S. Wang. Competing Interests The authors declare that they have no competing interests. Corresponding author Correspondence to Feng-Sheng Wang. Electronic

Fuzzy optimization for detecting enzyme targets of human uric acid metabolism

Motivation: Mathematical modeling and optimization have been used for detecting enzyme targets in human metabolic disorders. Such optimal drug design methods are generally differentiated as two stages, identification and decision-making, to find optimal targets. We developed a unified method named fuzzy equal metabolic adjustment to formulate an optimal enzyme target design...

Effects of Computer Navigation versus Conventional Total Knee Arthroplasty on Endothelial Damage Marker Levels: A Prospective Comparative Study

Total knee arthroplasty (TKA) inevitably perturbs the femoral medullary canal, which increases blood loss or morbidities associated with marrow embolization postoperatively. Computer navigation TKA reportedly minimizes medullary disturbance to alleviate perioperative blood loss. We performed a prospective comparative study, enrolling 87 patients with osteoarthritic knees from...

Activation of Mir-29a in Activated Hepatic Stellate Cells Modulates Its Profibrogenic Phenotype through Inhibition of Histone Deacetylases 4

Background Recent studies have shown that microRNA-29 (miR-29) is significantly decreased in liver fibrosis and that its downregulation influences the activation of hepatic stellate cells (HSCs). In addition, inhibition of the activity of histone deacetylases 4 (HDAC4) has been shown to strongly reduce HSC activation in the context of liver fibrosis. Objectives In this study, we...

Multi-objective optimization of enzyme manipulations in metabolic networks considering resilience effects

Background Improving the synthesis rate of desired metabolites in metabolic systems is one of the main tasks in metabolic engineering. In the last decade, metabolic engineering approaches based on the mathematical optimization have been used extensively for the analysis and manipulation of metabolic networks. Experimental evidence shows that mutants reflect resilience phenomena...

Inference of biochemical network models in S-system using multiobjective optimization approach

Pang-Kai Liu 0 Feng-Sheng Wang 0 Associate Editor: John Quackenbush 0 Department of Chemical Engineering, National Chung Cheng University , Chiayi 621-02, Taiwan , ROC Motivation: The inference of

Estimating parameters for generalized mass action models with connectivity information

Background Determining the parameters of a mathematical model from quantitative measurements is the main bottleneck of modelling biological systems. Parameter values can be estimated from steady-state data or from dynamic data. The nature of suitable data for these two types of estimation is rather different. For instance, estimations of parameter values in pathway models, such...

Evolutionary optimization with data collocation for reverse engineering of biological networks

Motivation: Modern experimental biology is moving away from analyses of single elements to whole-organism measurements. Such measured time-course data contain a wealth of information about the structure and dynamic of the pathway or network. The dynamic modeling of the whole systems is formulated as a reverse problem that requires a well-suited mathematical model and a very...

Modulation of Notch-1 Signaling Alleviates Vascular Endothelial Growth Factor–Mediated Diabetic Nephropathy

OBJECTIVE Disturbances in podocytes are typically associated with marked proteinuria, a hallmark of diabetic nephropathy. This study was conducted to investigate modulation of Notch-1 signaling in high glucose (HG)-stressed human podocytes and in a diabetic animal model.

Inferring a transcriptional regulatory network of the cytokinesis-related genes by network component analysis

Background Network Component Analysis (NCA) is a network structure-driven framework for deducing regulatory signal dynamics. In contrast to principal component analysis, which can be employed to select the high-variance genes, NCA makes use of the connectivity structure from transcriptional regulatory networks to infer dynamics of transcription factor activities. Using the...

Ortholog-based protein-protein interaction prediction and its application to inter-species interactions

Background The rapid growth of protein-protein interaction (PPI) data has led to the emergence of PPI network analysis. Despite advances in high-throughput techniques, the interactomes of several model organisms are still far from complete. Therefore, it is desirable to expand these interactomes with ortholog-based and other methods. Results Orthologous pairs of 18 eukaryotic...

POINeT: protein interactome with sub-network analysis and hub prioritization

Background Protein-protein interactions (PPIs) are critical to every aspect of biological processes. Expansion of all PPIs from a set of given queries often results in a complex PPI network lacking spatiotemporal consideration. Moreover, the reliability of available PPI resources, which consist of low- and high-throughput data, for network construction remains a significant...

Higher Spontaneous and TNFα-Induced Apoptosis of Neonatal Blood Granulocytes

Granulocytes play an important role in inflammatory diseases. Neonates tend to develop granulocytopenia under sepsis and stress. It remains unclear whether apoptosis of neonatal granulocytes is different from that of adult granulocytes. In this study, we analyzed the discrepancy of granulocyte apoptosis between cord blood (CB) and adult blood (AB). We found that spontaneous and...