FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308653795> ?p ?o ?g. }

• W4308653795 abstract "Without the availability of disease-modifying drugs, there is an unmet therapeutic need for osteoarthritic patients. During osteoarthritis, the homeostasis of articular chondrocytes is dysregulated and a phenotypical transition called hypertrophy occurs, leading to cartilage degeneration. Targeting this phenotypic transition has emerged as a potential therapeutic strategy. Chondrocyte phenotype maintenance and switch are controlled by an intricate network of intracellular factors, each influenced by a myriad of feedback mechanisms, making it challenging to intuitively predict treatment outcomes, while in silico modeling can help unravel that complexity. In this study, we aim to develop a virtual articular chondrocyte to guide experiments in order to rationalize the identification of potential drug targets via screening of combination therapies through computational modeling and simulations.We developed a signal transduction network model using knowledge-based and data-driven (machine learning) modeling technologies. The in silico high-throughput screening of (pairwise) perturbations operated with that network model highlighted conditions potentially affecting the hypertrophic switch. A selection of promising combinations was further tested in a murine cell line and primary human chondrocytes, which notably highlighted a previously unreported synergistic effect between the protein kinase A and the fibroblast growth factor receptor 1.Here, we provide a virtual articular chondrocyte in the form of a signal transduction interactive knowledge base and of an executable computational model. Our in silico-in vitro strategy opens new routes for developing osteoarthritis targeting therapies by refining the early stages of drug target discovery." @default.
• W4308653795 created "2022-11-13" @default.
• W4308653795 creator A5013453828 @default.
• W4308653795 creator A5014369135 @default.
• W4308653795 creator A5030220964 @default.
• W4308653795 creator A5038807454 @default.
• W4308653795 creator A5057396360 @default.
• W4308653795 creator A5077845853 @default.
• W4308653795 date "2022-11-09" @default.
• W4308653795 modified "2023-10-14" @default.
• W4308653795 title "An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritis" @default.
• W4308653795 cites W1480255301 @default.
• W4308653795 cites W1504911372 @default.
• W4308653795 cites W1527713674 @default.
• W4308653795 cites W1586072989 @default.
• W4308653795 cites W1599969036 @default.
• W4308653795 cites W1971664778 @default.
• W4308653795 cites W1975554070 @default.
• W4308653795 cites W1978486653 @default.
• W4308653795 cites W1980297880 @default.
• W4308653795 cites W1983579606 @default.
• W4308653795 cites W1989223411 @default.
• W4308653795 cites W2000982470 @default.
• W4308653795 cites W2002092034 @default.
• W4308653795 cites W2004051437 @default.
• W4308653795 cites W2019983212 @default.
• W4308653795 cites W2029632374 @default.
• W4308653795 cites W2036824008 @default.
• W4308653795 cites W2038237044 @default.
• W4308653795 cites W2044069347 @default.
• W4308653795 cites W2048679465 @default.
• W4308653795 cites W2052449777 @default.
• W4308653795 cites W2053830789 @default.
• W4308653795 cites W2055316800 @default.
• W4308653795 cites W2062029454 @default.
• W4308653795 cites W2072189745 @default.
• W4308653795 cites W2073903631 @default.
• W4308653795 cites W2076513103 @default.
• W4308653795 cites W2089233425 @default.
• W4308653795 cites W2089453524 @default.
• W4308653795 cites W2090659299 @default.
• W4308653795 cites W2091198609 @default.
• W4308653795 cites W2095939131 @default.
• W4308653795 cites W2099669252 @default.
• W4308653795 cites W2101702091 @default.
• W4308653795 cites W2101872027 @default.
• W4308653795 cites W2105905652 @default.
• W4308653795 cites W2106555403 @default.
• W4308653795 cites W2107665951 @default.
• W4308653795 cites W2109384743 @default.
• W4308653795 cites W2128952169 @default.
• W4308653795 cites W2129325583 @default.
• W4308653795 cites W2132345567 @default.
• W4308653795 cites W2132935366 @default.
• W4308653795 cites W2138960046 @default.
• W4308653795 cites W2151840099 @default.
• W4308653795 cites W2159675211 @default.
• W4308653795 cites W2160572920 @default.
• W4308653795 cites W2161409973 @default.
• W4308653795 cites W2163432819 @default.
• W4308653795 cites W2166148611 @default.
• W4308653795 cites W2167527822 @default.
• W4308653795 cites W2207958376 @default.
• W4308653795 cites W2436013910 @default.
• W4308653795 cites W2481203471 @default.
• W4308653795 cites W2514437311 @default.
• W4308653795 cites W2518150592 @default.
• W4308653795 cites W2557833574 @default.
• W4308653795 cites W2566463892 @default.
• W4308653795 cites W2584333792 @default.
• W4308653795 cites W2606675097 @default.
• W4308653795 cites W2744099886 @default.
• W4308653795 cites W2764241857 @default.
• W4308653795 cites W2782340977 @default.
• W4308653795 cites W2789533472 @default.
• W4308653795 cites W2790873563 @default.
• W4308653795 cites W2809592431 @default.
• W4308653795 cites W2883053515 @default.
• W4308653795 cites W2900499615 @default.
• W4308653795 cites W2911595746 @default.
• W4308653795 cites W2949159188 @default.
• W4308653795 cites W2963874232 @default.
• W4308653795 cites W2969431316 @default.
• W4308653795 cites W2986455832 @default.
• W4308653795 cites W2996536787 @default.
• W4308653795 cites W3007934576 @default.
• W4308653795 cites W3009853031 @default.
• W4308653795 cites W3099289621 @default.
• W4308653795 cites W3175132890 @default.
• W4308653795 cites W3209878756 @default.
• W4308653795 cites W3213530447 @default.
• W4308653795 cites W4211017114 @default.
• W4308653795 cites W4231038223 @default.
• W4308653795 cites W4239421590 @default.
• W4308653795 cites W58125149 @default.
• W4308653795 cites W585311677 @default.
• W4308653795 doi "https://doi.org/10.1186/s12915-022-01451-8" @default.
• W4308653795 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36352408" @default.
• W4308653795 hasPublicationYear "2022" @default.
• W4308653795 type Work @default.

• next