{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:41:37Z","timestamp":1772138497576,"version":"3.50.1"},"reference-count":65,"publisher":"Oxford University Press (OUP)","issue":"D1","license":[{"start":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T00:00:00Z","timestamp":1665014400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001866","name":"Fonds National de la Recherche Luxembourg","doi-asserted-by":"publisher","award":["C15\/BM\/10397420"],"award-info":[{"award-number":["C15\/BM\/10397420"]}],"id":[{"id":"10.13039\/501100001866","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001866","name":"Fonds National de la Recherche Luxembourg","doi-asserted-by":"publisher","award":["C19\/BM\/13624979"],"award-info":[{"award-number":["C19\/BM\/13624979"]}],"id":[{"id":"10.13039\/501100001866","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001866","name":"National Research Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001866","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Prior knowledge of perturbation data can significantly assist in inferring the relationship between chemical perturbations and their specific transcriptional response. However, current databases mostly contain cancer cell lines, which are unsuitable for the aforementioned inference in non-cancer cells, such as cells related to non-cancer disease, immunology and aging. Here, we present ChemPert (https:\/\/chempert.uni.lu\/), a database consisting of 82\u00a0270 transcriptional signatures in response to 2566 unique perturbagens (drugs, small molecules and protein ligands) across 167 non-cancer cell types, as well as the protein targets of 57\u00a0818 perturbagens. In addition, we develop a computational tool that leverages the non-cancer cell datasets, which enables more accurate predictions of perturbation responses and drugs in non-cancer cells compared to those based onto cancer databases. In particular, ChemPert correctly predicted drug effects for treating hepatitis and novel drugs for osteoarthritis. The ChemPert web interface is user-friendly and allows easy access of the entire datasets and the computational tool, providing valuable resources for both experimental researchers who wish to find datasets relevant to their research and computational researchers who need comprehensive non-cancer perturbation transcriptomics datasets for developing novel algorithms. Overall, ChemPert will facilitate future in silico compound screening for non-cancer cells.<\/jats:p>","DOI":"10.1093\/nar\/gkac862","type":"journal-article","created":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T08:28:01Z","timestamp":1664094481000},"page":"D877-D889","source":"Crossref","is-referenced-by-count":18,"title":["ChemPert: mapping between chemical perturbation and transcriptional response for non-cancer cells"],"prefix":"10.1093","volume":"51","author":[{"given":"Menglin","family":"Zheng","sequence":"first","affiliation":[{"name":"Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg , 6 Avenue du Swing, Esch-sur-Alzette, L-4367 Belvaux, Luxembourg"}]},{"given":"Satoshi","family":"Okawa","sequence":"additional","affiliation":[{"name":"Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg , 6 Avenue du Swing, Esch-sur-Alzette, L-4367 Belvaux, Luxembourg"}]},{"given":"Miren","family":"Bravo","sequence":"additional","affiliation":[{"name":"Liver Disease Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park , Derio, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Hep\u00e1ticas y Digestivas (CIBERehd) , 48160\u00a0Bizkaia, Spain"}]},{"given":"Fei","family":"Chen","sequence":"additional","affiliation":[{"name":"German Research Center for Artificial Intelligence (DFKI) , 66123\u00a0Saarbr\u00fccken, Germany"}]},{"given":"Mar\u00eda-Luz","family":"Mart\u00ednez-Chantar","sequence":"additional","affiliation":[{"name":"Liver Disease Laboratory, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park , Derio, Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Hep\u00e1ticas y Digestivas (CIBERehd) , 48160\u00a0Bizkaia, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9926-617X","authenticated-orcid":false,"given":"Antonio","family":"del\u00a0Sol","sequence":"additional","affiliation":[{"name":"Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg , 6 Avenue du Swing, Esch-sur-Alzette, L-4367 Belvaux, Luxembourg"},{"name":"DCIC bioGUNE-BRTA (Basque Research and Technology Alliance), Bizkaia Technology Park , 801 Building, 48160 Derio, Spain"},{"name":"IKERBASQUE, Basque Foundation for Science , Bilbao 48013, Spain"}]}],"member":"286","published-online":{"date-parts":[[2022,10,6]]},"reference":[{"key":"2023010804333730800_B1","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1126\/science.1132939","article-title":"The connectivity map: using gene-expression signatures to connect small molecules, genes, and disease","volume":"313","author":"Lamb","year":"2006","journal-title":"Science"},{"key":"2023010804333730800_B2","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.1016\/j.cell.2017.10.049","article-title":"A next generation connectivity map: L1000 platform and the first 1,000,000 profiles","volume":"171","author":"Subramanian","year":"2017","journal-title":"Cell"},{"key":"2023010804333730800_B3","doi-asserted-by":"crossref","first-page":"2338","DOI":"10.1093\/bioinformatics\/btw168","article-title":"Drug-induced adverse events prediction with the LINCS L1000 data","volume":"32","author":"Wang","year":"2016","journal-title":"Bioinformatics"},{"key":"2023010804333730800_B4","doi-asserted-by":"crossref","first-page":"D1164","DOI":"10.1093\/nar\/gkab897","article-title":"CeDR atlas: a knowledgebase of cellular drug response","volume":"50","author":"Wang","year":"2022","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B5","doi-asserted-by":"crossref","first-page":"1381","DOI":"10.1016\/j.stemcr.2021.03.028","article-title":"Automatic identification of small molecules that promote cell conversion and reprogramming","volume":"16","author":"Napolitano","year":"2021","journal-title":"Stem Cell Rep."},{"key":"2023010804333730800_B6","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.gde.2019.05.001","article-title":"Large-scale datasets uncovering cell signalling networks in cancer: context matters","volume":"54","author":"Sharma","year":"2019","journal-title":"Curr. Opin. Genet. Dev."},{"key":"2023010804333730800_B7","doi-asserted-by":"crossref","first-page":"D991","DOI":"10.1093\/nar\/gks1193","article-title":"NCBI GEO: archive for functional genomics data sets\u2013update","volume":"41","author":"Barrett","year":"2013","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B8","doi-asserted-by":"crossref","first-page":"D1113","DOI":"10.1093\/nar\/gku1057","article-title":"ArrayExpress update\u2013simplifying data submissions","volume":"43","author":"QKolesnikov","year":"2015","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B9","doi-asserted-by":"crossref","first-page":"e47","DOI":"10.1093\/nar\/gkv007","article-title":"limma powers differential expression analyses for RNA-sequencing and microarray studies","volume":"43","author":"Ritchie","year":"2015","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B10","doi-asserted-by":"crossref","first-page":"D33","DOI":"10.1093\/nar\/gky822","article-title":"AnimalTFDB 3.0: a comprehensive resource for annotation and prediction of animal transcription factors","volume":"47","author":"Hu","year":"2019","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B11","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.1038\/nprot.2009.97","article-title":"Mapping identifiers for the integration of genomic datasets with the R\/Bioconductor package biomaRt","volume":"4","author":"Durinck","year":"2009","journal-title":"Nat. Protoc."},{"key":"2023010804333730800_B12","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1038\/nm.4306","article-title":"The drug repurposing hub: a next-generation drug library and information resource","volume":"23","author":"Corsello","year":"2017","journal-title":"Nat. Med."},{"key":"2023010804333730800_B13","doi-asserted-by":"crossref","first-page":"D1074","DOI":"10.1093\/nar\/gkx1037","article-title":"DrugBank 5.0: a major update to the drugbank database for 2018","volume":"46","author":"Wishart","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B14","doi-asserted-by":"crossref","first-page":"D380","DOI":"10.1093\/nar\/gkv1277","article-title":"STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data","volume":"44","author":"Szklarczyk","year":"2016","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B15","doi-asserted-by":"crossref","first-page":"7866","DOI":"10.1038\/ncomms8866","article-title":"A draft network of ligand-receptor-mediated multicellular signalling in human","volume":"6","author":"Ramilowski","year":"2015","journal-title":"Nat. Commun."},{"key":"2023010804333730800_B16","doi-asserted-by":"crossref","first-page":"R53","DOI":"10.1186\/gb-2010-11-5-r53","article-title":"A human functional protein interaction network and its application to cancer data analysis","volume":"11","author":"Wu","year":"2010","journal-title":"Genome Biol."},{"key":"2023010804333730800_B17","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1038\/nmeth.4077","article-title":"OmniPath: guidelines and gateway for literature-curated signaling pathway resources","volume":"13","author":"T\u00fcrei","year":"2016","journal-title":"Nat. Methods"},{"key":"2023010804333730800_B18","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1101\/gr.240663.118","article-title":"Benchmark and integration of resources for the estimation of human transcription factor activities","volume":"29","author":"Garcia-Alonso","year":"2019","journal-title":"Genome Res."},{"key":"2023010804333730800_B19","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1038\/ng.3593","article-title":"Functional characterization of somatic mutations in cancer using network-based inference of protein activity","volume":"48","author":"Alvarez","year":"2016","journal-title":"Nat. Genet."},{"key":"2023010804333730800_B20","doi-asserted-by":"crossref","first-page":"D649","DOI":"10.1093\/nar\/gkx1132","article-title":"The reactome pathway knowledgebase","volume":"46","author":"Fabregat","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B21","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/75556","article-title":"Gene ontology: tool for the unification of biology. The gene ontology consortium","volume":"25","author":"Ashburner","year":"2000","journal-title":"Nat. Genet."},{"key":"2023010804333730800_B22","doi-asserted-by":"crossref","first-page":"e184","DOI":"10.1371\/journal.pbio.0060184","article-title":"WikiPathways: pathway editing for the people","volume":"6","author":"Pico","year":"2008","journal-title":"PLoS Biol."},{"key":"2023010804333730800_B23","doi-asserted-by":"crossref","first-page":"W90","DOI":"10.1093\/nar\/gkw377","article-title":"Enrichr: a comprehensive gene set enrichment analysis web server 2016 update","volume":"44","author":"Kuleshov","year":"2016","journal-title":"Nucleic Acids Res."},{"key":"2023010804333730800_B24","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1186\/s12859-016-1181-8","article-title":"Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks","volume":"17","author":"Fakhry","year":"2016","journal-title":"BMC Bioinf."},{"key":"2023010804333730800_B25","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1002\/cld.1045","article-title":"Nonalcoholic fatty liver disease and recent guideline updates","volume":"17","author":"Ando","year":"2021","journal-title":"Clin Liver Dis (Hoboken)"},{"key":"2023010804333730800_B26","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1016\/j.jhep.2015.11.004","article-title":"EASL-EASD-EASO clinical practice guidelines for the management of non-alcoholic fatty liver disease","volume":"64","author":"European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD), European Association for the Study of Obesity (EASO)","year":"2016","journal-title":"J. Hepatol."},{"key":"2023010804333730800_B27","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1016\/j.cmet.2016.09.016","article-title":"Hepatocyte TAZ\/WWTR1 promotes inflammation and fibrosis in nonalcoholic steatohepatitis","volume":"24","author":"Wang","year":"2016","journal-title":"Cell Metab."},{"key":"2023010804333730800_B28","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/iep.12008","article-title":"An improved mouse model that rapidly develops fibrosis in non-alcoholic steatohepatitis","volume":"94","author":"Matsumoto","year":"2013","journal-title":"Int. J. Exp. Pathol."},{"key":"2023010804333730800_B29","doi-asserted-by":"crossref","first-page":"1685","DOI":"10.1016\/j.cmet.2021.06.005","article-title":"Liver-fibrosis-activated transcriptional networks govern hepatocyte reprogramming and intra-hepatic communication","volume":"33","author":"Loft","year":"2021","journal-title":"Cell Metab."},{"key":"2023010804333730800_B30","doi-asserted-by":"crossref","first-page":"2184","DOI":"10.1016\/S0140-6736(19)33041-7","article-title":"Obeticholic acid for the treatment of non-alcoholic steatohepatitis: interim analysis from a multicentre, randomised, placebo-controlled phase 3 trial","volume":"394","author":"Younossi","year":"2019","journal-title":"Lancet"},{"key":"2023010804333730800_B31","doi-asserted-by":"crossref","first-page":"1675","DOI":"10.1056\/NEJMoa0907929","article-title":"Pioglitazone, vitamin e, or placebo for nonalcoholic steatohepatitis","volume":"362","author":"Sanyal","year":"2010","journal-title":"N. Engl. J. Med."},{"key":"2023010804333730800_B32","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.3390\/cells8111419","article-title":"TGF-\u03b2 in hepatic stellate cell activation and liver fibrogenesis-updated 2019","volume":"8","author":"Dewidar","year":"2019","journal-title":"Cells"},{"key":"2023010804333730800_B33","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1080\/10799893.2020.1726952","article-title":"Inevitable role of TGF-\u03b21 in progression of nonalcoholic fatty liver disease","volume":"40","author":"Nair","year":"2020","journal-title":"J. Recept. Signal Transduct. Res."},{"key":"2023010804333730800_B34","doi-asserted-by":"crossref","first-page":"2219","DOI":"10.1111\/febs.13665","article-title":"TGF-\u03b2 signalling and liver disease","volume":"283","author":"Fabregat","year":"2016","journal-title":"FEBS J."},{"key":"2023010804333730800_B35","first-page":"4607197","article-title":"Mechanism by which TRAF6 participates in the immune regulation of autoimmune diseases and cancer","volume":"2020","author":"Wang","year":"2020","journal-title":"Biomed. Res. Int."},{"key":"2023010804333730800_B36","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1186\/s12935-016-0352-z","article-title":"Relationship between TRAF6 and deterioration of HCC: an immunohistochemical and in vitro study","volume":"16","author":"Li","year":"2016","journal-title":"Cancer Cell Int."},{"key":"2023010804333730800_B37","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1053\/j.gastro.2011.09.049","article-title":"A high-cholesterol diet exacerbates liver fibrosis in mice via accumulation of free cholesterol in hepatic stellate cells","volume":"142","author":"Teratani","year":"2012","journal-title":"Gastroenterology"},{"key":"2023010804333730800_B38","doi-asserted-by":"crossref","first-page":"1324","DOI":"10.1038\/nm1663","article-title":"TLR4 enhances TGF-beta signaling and hepatic fibrosis","volume":"13","author":"Seki","year":"2007","journal-title":"Nat. Med."},{"key":"2023010804333730800_B39","doi-asserted-by":"crossref","first-page":"20571","DOI":"10.1074\/jbc.M400884200","article-title":"p53 involvement in the pathogenesis of fatty liver disease","volume":"279","author":"Yahagi","year":"2004","journal-title":"J. Biol. Chem."},{"key":"2023010804333730800_B40","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.jhep.2006.09.014","article-title":"IFN-gamma abrogates profibrogenic TGF-beta signaling in liver by targeting expression of inhibitory and receptor smads","volume":"46","author":"Weng","year":"2007","journal-title":"J. Hepatol."},{"key":"2023010804333730800_B41","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1038\/nrendo.2017.95","article-title":"Liver: paradigm shift in the immunopathogenesis of NAFLD","volume":"13","author":"Holmes","year":"2017","journal-title":"Nat. Rev. Endocrinol."},{"key":"2023010804333730800_B42","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1002\/hep.28644","article-title":"Exosome-mediated activation of toll-like receptor 3 in stellate cells stimulates interleukin-17 production by \u03b3\u03b4 t cells in liver fibrosis","volume":"64","author":"Seo","year":"2016","journal-title":"Hepatology"},{"key":"2023010804333730800_B43","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.arr.2017.11.002","article-title":"FOXO1\/3: potential suppressors of fibrosis","volume":"41","author":"Xin","year":"2018","journal-title":"Ageing Res. Rev."},{"key":"2023010804333730800_B44","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1053\/j.gastro.2008.04.004","article-title":"The Kruppel-like factor 6 genotype is associated with fibrosis in nonalcoholic fatty liver disease","volume":"135","author":"Miele","year":"2008","journal-title":"Gastroenterology"},{"key":"2023010804333730800_B45","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1002\/hep.26056","article-title":"Reduced hepatic stellate cell expression of Kruppel-like factor 6 tumor suppressor isoforms amplifies fibrosis during acute and chronic rodent liver injury","volume":"57","author":"Ghiassi-Nejad","year":"2013","journal-title":"Hepatology"},{"key":"2023010804333730800_B46","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.3389\/fphar.2019.01349","article-title":"Over-Expression of inhibitor of differentiation 2 attenuates post-infarct cardiac fibrosis through inhibition of TGF-\u03b21\/Smad3\/HIF-1\u03b1\/IL-11 signaling pathway","volume":"10","author":"Yin","year":"2019","journal-title":"Front. Pharmacol."},{"key":"2023010804333730800_B47","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1007\/s10787-019-00580-x","article-title":"Activation of microglia and astrocytes: a roadway to neuroinflammation and alzheimer's disease","volume":"27","author":"Kaur","year":"2019","journal-title":"Inflammopharmacology"},{"key":"2023010804333730800_B48","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1194\/jlr.M039453","article-title":"Kr\u00fcppel-like factor 2 promotes liver steatosis through upregulation of CD36","volume":"55","author":"Chen","year":"2014","journal-title":"J. Lipid Res."},{"key":"2023010804333730800_B49","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1152\/physrev.00013.2007","article-title":"Hepatic stellate cells: protean, multifunctional, and enigmatic cells of the liver","volume":"88","author":"Friedman","year":"2008","journal-title":"Physiol. Rev."},{"key":"2023010804333730800_B50","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/S0140-6736(14)60802-3","article-title":"Osteoarthritis","volume":"386","author":"Glyn-Jones","year":"2015","journal-title":"Lancet"},{"key":"2023010804333730800_B51","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.joca.2017.11.014","article-title":"Osteoarthritis year in review 2017: clinical","volume":"26","author":"Nelson","year":"2018","journal-title":"Osteoarthritis Cartilage"},{"key":"2023010804333730800_B52","doi-asserted-by":"crossref","first-page":"734","DOI":"10.3390\/cells8070734","article-title":"NF-\u03baB signaling pathways in osteoarthritic cartilage destruction","volume":"8","author":"Choi","year":"2019","journal-title":"Cells"},{"key":"2023010804333730800_B53","doi-asserted-by":"crossref","first-page":"2580","DOI":"10.1016\/j.biocel.2013.08.018","article-title":"The NF-\u03baB signalling pathway in osteoarthritis","volume":"45","author":"Rigoglou","year":"2013","journal-title":"Int. J. Biochem. Cell Biol."},{"key":"2023010804333730800_B54","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1039\/D0FO02159H","article-title":"Oroxylin a attenuates osteoarthritis progression by dual inhibition of cell inflammation and hypertrophy","volume":"12","author":"Chen","year":"2021","journal-title":"Food Funct."},{"key":"2023010804333730800_B55","doi-asserted-by":"crossref","first-page":"730312","DOI":"10.3389\/fphar.2021.730312","article-title":"Selective STAT3 inhibitor alantolactone ameliorates osteoarthritis via regulating chondrocyte autophagy and cartilage homeostasis","volume":"12","author":"Pei","year":"2021","journal-title":"Front. Pharmacol."},{"key":"2023010804333730800_B56","doi-asserted-by":"crossref","first-page":"107657","DOI":"10.1016\/j.intimp.2021.107657","article-title":"Decursin alleviates the aggravation of osteoarthritis via inhibiting PI3K-Akt and NF-kB signal pathway","volume":"97","author":"He","year":"2021","journal-title":"Int. Immunopharmacol."},{"key":"2023010804333730800_B57","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1111\/jphp.13250","article-title":"Celastrol ameliorates endoplasmic stress-mediated apoptosis of osteoarthritis via regulating ATF-6\/CHOP signalling pathway","volume":"72","author":"Liu","year":"2020","journal-title":"J. Pharm. Pharmacol."},{"key":"2023010804333730800_B58","doi-asserted-by":"crossref","first-page":"S73","DOI":"10.1016\/j.joca.2018.02.156","article-title":"The ginger derivate 6-shogaol as a treatment in osteoarthritis. Modulation of chondrocyte hypertrophy and matrix calcification","volume":"26","author":"Gratal","year":"2018","journal-title":"Osteoarthritis Cartilage"},{"key":"2023010804333730800_B59","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1111\/jphp.12835","article-title":"Celastrol attenuates pain and cartilage damage via SDF-1\/CXCR4 signalling pathway in osteoarthritis rats","volume":"70","author":"Wang","year":"2018","journal-title":"J. Pharm. Pharmacol."},{"key":"2023010804333730800_B60","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.joca.2020.02.027","article-title":"The PI3K\/AKT\/mTOR signaling pathway in osteoarthritis: a narrative review","volume":"28","author":"Sun","year":"2020","journal-title":"Osteoarthritis Cartilage"},{"key":"2023010804333730800_B61","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s40268-015-0082-z","article-title":"mTOR: a potential therapeutic target in osteoarthritis?","volume":"15","author":"Pal","year":"2015","journal-title":"Drugs R. D."},{"key":"2023010804333730800_B62","doi-asserted-by":"crossref","first-page":"388","DOI":"10.3892\/etm.2021.9819","article-title":"Oroxylin a attenuates IL-1\u03b2- induced inflammatory reaction via inhibiting the activation of the ERK and PI3K\/AKT signaling pathways in osteoarthritis chondrocytes","volume":"21","author":"Zhang","year":"2021","journal-title":"Exp. Ther. Med."},{"key":"2023010804333730800_B63","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1002\/art.39947","article-title":"Increased activity of the chondrocyte translational apparatus accompanies osteoarthritic changes in human and rodent knee cartilage","volume":"69","author":"Katsara","year":"2017","journal-title":"Arthritis Rheumatol."},{"key":"2023010804333730800_B64","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1002\/jbmr.2828","article-title":"Targeting VEGF and its receptors for the treatment of osteoarthritis and associated pain","volume":"31","author":"Hamilton","year":"2016","journal-title":"J. Bone Miner. Res."},{"key":"2023010804333730800_B65","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1302\/2046-3758.107.BJR-2020-0200.R2","article-title":"PARP-1 inhibition attenuates the inflammatory response in the cartilage of a rat model of osteoarthritis","volume":"10","author":"Liu","year":"2021","journal-title":"Bone Joint Res"}],"container-title":["Nucleic Acids Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/nar\/article-pdf\/51\/D1\/D877\/48441554\/gkac862.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/nar\/article-pdf\/51\/D1\/D877\/48441554\/gkac862.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,7]],"date-time":"2023-01-07T23:37:59Z","timestamp":1673134679000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/nar\/article\/51\/D1\/D877\/6749535"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,6]]},"references-count":65,"journal-issue":{"issue":"D1","published-online":{"date-parts":[[2022,10,6]]},"published-print":{"date-parts":[[2023,1,6]]}},"URL":"https:\/\/doi.org\/10.1093\/nar\/gkac862","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.04.29.490084","asserted-by":"object"}]},"ISSN":["0305-1048","1362-4962"],"issn-type":[{"value":"0305-1048","type":"print"},{"value":"1362-4962","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,1,6]]},"published":{"date-parts":[[2022,10,6]]}}}