{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T21:06:31Z","timestamp":1775855191230,"version":"3.50.1"},"reference-count":75,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T00:00:00Z","timestamp":1604620800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Cell Dev. Biol."],"DOI":"10.3389\/fcell.2020.602024","type":"journal-article","created":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T05:43:10Z","timestamp":1604641390000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["The Methylation Pattern for Knee and Hip Osteoarthritis"],"prefix":"10.3389","volume":"8","author":[{"given":"Zhen","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Shou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinwei","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2020,11,6]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1186\/s12891-015-0745-5","article-title":"Genome-wide DNA methylation study of hip and knee cartilage reveals embryonic organ and skeletal system morphogenesis as major pathways involved in osteoarthritis.","volume":"16","author":"Aref-Eshghi","year":"2015","journal-title":"BMC Musculoskelet. Disord."},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1007\/s11926-013-0353-z","article-title":"Epigenetic mechanisms and non-coding RNAs in osteoarthritis.","volume":"15","author":"Barter","year":"2013","journal-title":"Curr. Rheumatol. Rep."},{"key":"B3","first-page":"1005","article-title":"The relationship between spinal and peripheral osteoarthritis and bone density measurements.","volume":"20","author":"Belmonte-Serrano","year":"1993","journal-title":"J. Rheumatol."},{"key":"B4","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1016\/j.omtn.2018.05.026","article-title":"Implications of newly identified brain eQTL genes and their interactors in schizophrenia.","volume":"12","author":"Cai","year":"2018","journal-title":"Mol. Ther. Nucleic Acids"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0012726","article-title":"A unified 35-gene signature for both subtype classification and survival prediction in diffuse large B-cell lymphomas.","volume":"5","author":"Cai","year":"2010","journal-title":"PLoS One"},{"key":"B6","doi-asserted-by":"crossref","first-page":"3394","DOI":"10.1002\/jcb.26507","article-title":"Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method.","volume":"119","author":"Chen","year":"","journal-title":"J. Cell. Biochem."},{"key":"B7","doi-asserted-by":"publisher","first-page":"26582","DOI":"10.1109\/ACCESS.2017.2775703","article-title":"Identify key sequence features to improve CRISPR sgRNA efficacy.","volume":"5","author":"Chen","year":"","journal-title":"IEEE Access"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0184129","article-title":"Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways.","volume":"12","author":"Chen","year":"","journal-title":"PLoS One"},{"key":"B9","doi-asserted-by":"publisher","first-page":"3394","DOI":"10.1002\/jcb.26507","article-title":"Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method.","volume":"119","author":"Chen","year":"","journal-title":"J. Cell. Biochem."},{"key":"B10","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s00438-017-1372-7","article-title":"Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection.","volume":"293","author":"Chen","year":"","journal-title":"Mol. Genet. Genomics"},{"key":"B11","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1039\/c3mb70490d","article-title":"A hybrid method for prediction and repositioning of drug anatomical therapeutic chemical classes.","volume":"10","author":"Chen","year":"2014","journal-title":"Mol. Biosyst."},{"key":"B12","doi-asserted-by":"publisher","first-page":"128570","DOI":"10.1109\/ACCESS.2019.2939556","article-title":"Identifying essential signature genes and expression rules associated with distinctive development stages of early embryonic cells.","volume":"7","author":"Chen","year":"","journal-title":"IEEE Access"},{"key":"B13","doi-asserted-by":"publisher","first-page":"7068","DOI":"10.1002\/jcb.27977","article-title":"Tissue differences revealed by gene expression profiles of various cell lines.","volume":"120","author":"Chen","year":"","journal-title":"J. Cell. Biochem."},{"key":"B14","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.csbj.2018.12.002","article-title":"Classification of widely and rarely expressed genes with recurrent neural network.","volume":"17","author":"Chen","year":"","journal-title":"Comput. Struct. Biotechnol. J."},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.00738","article-title":"Primary tumor site specificity is preserved in patient-derived tumor xenograft models.","volume":"10","author":"Chen","year":"","journal-title":"Front. Genet."},{"key":"B16","doi-asserted-by":"publisher","first-page":"161","DOI":"10.2174\/1386207319666151110123611","article-title":"Prediction of bioactive compound pathways using chemical interaction and structural information.","volume":"19","author":"Cheng","year":"2016","journal-title":"Comb. Chem. High Throughput Screen."},{"key":"B17","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/j.jtbi.2010.12.024","article-title":"Some remarks on protein attribute prediction and pseudo amino acid composition.","volume":"273","author":"Chou","year":"2011","journal-title":"J. Theor. Biol."},{"key":"B18","doi-asserted-by":"publisher","first-page":"419","DOI":"10.2174\/1389202916666150817212711","article-title":"DNA methylation in osteoarthritis.","volume":"16","author":"den Hollander","year":"2015","journal-title":"Curr. Genomics"},{"key":"B19","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1097\/01.alc.0000108645.54345.98","article-title":"Association of GABRG3 with alcohol dependence.","volume":"28","author":"Dick","year":"2004","journal-title":"Alcohol. Clin. Exp. Res."},{"key":"B20","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1111\/j.1369-1600.2006.00035.x","article-title":"The genetics of alcoholism: identifying specific genes through family studies.","volume":"11","author":"Edenberg","year":"2006","journal-title":"Addict. Biol."},{"key":"B21","doi-asserted-by":"publisher","first-page":"1142","DOI":"10.1136\/annrheumdis-2016-210478","article-title":"Knee and hip intra-articular adipose tissues (IAATs) compared with autologous subcutaneous adipose tissue: a specific phenotype for a central player in osteoarthritis.","volume":"76","author":"Eymard","year":"2017","journal-title":"Ann. Rheum. Dis."},{"key":"B22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/s0033-8389(03)00161-1","article-title":"An update on the pathogenesis and epidemiology of osteoarthritis.","volume":"42","author":"Felson","year":"2004","journal-title":"Radiol. Clin. North Am."},{"key":"B23","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1002\/jbmr.2056","article-title":"Childhood bone mineral content is associated with methylation status of the RXRA promoter at birth.","volume":"29","author":"Harvey","year":"2014","journal-title":"J. Bone Miner. Res."},{"key":"B24","doi-asserted-by":"publisher","first-page":"3303","DOI":"10.1002\/art.24882","article-title":"DNA demethylation at specific CpG sites in the IL1B promoter in response to inflammatory cytokines in human articular chondrocytes.","volume":"60","author":"Hashimoto","year":"2009","journal-title":"Arthritis Rheum"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0067899","article-title":"An information-theoretic machine learning approach to expression QTL analysis.","volume":"8","author":"Huang","year":"2013","journal-title":"PLoS One"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-015-2328-0","article-title":"Genetic differences among ethnic groups.","volume":"16","author":"Huang","year":"2015","journal-title":"BMC Genomics"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1186\/1479-5876-6-44","article-title":"The prediction of interferon treatment effects based on time series microarray gene expression profiles.","volume":"6","author":"Huang","year":"2008","journal-title":"J. Transl. Med."},{"key":"B28","first-page":"93","article-title":"Knee osteoarthritis: the influence of environmental factors.","volume":"20","author":"Hunter","year":"2002","journal-title":"Clin. Exp. Rheumatol."},{"key":"B29","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1517\/14712598.2013.764410","article-title":"Epigenetics in osteoarthritis and its implication for future therapeutics.","volume":"13","author":"Im","year":"2013","journal-title":"Expert Opin. Biol. Ther."},{"key":"B30","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1111\/j.1440-1789.2008.00978.x","article-title":"An immunohistochemical study of GABA A receptor gamma subunits in Alzheimer\u2019s disease hippocampus: relationship to neurofibrillary tangle progression.","volume":"29","author":"Iwakiri","year":"2009","journal-title":"Neuropathology"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/287019","article-title":"Signal propagation in protein interaction network during colorectal cancer progression.","volume":"2013","author":"Jiang","year":"2013","journal-title":"Biomed Res. Int."},{"key":"B32","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1002\/art.11433","article-title":"Expression profiling of metalloproteinases and their inhibitors in cartilage.","volume":"50","author":"Kevorkian","year":"2004","journal-title":"Arthritis Rheum"},{"key":"B33","doi-asserted-by":"publisher","first-page":"2839","DOI":"10.1002\/j.1460-2075.1984.tb02217.x","article-title":"On the role of the engrailed+ gene in the internal organs of Drosophila.","volume":"3","author":"Lawrence","year":"1984","journal-title":"EMBO J."},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0088300","article-title":"Classification of non-small cell lung cancer based on copy number alterations.","volume":"9","author":"Li","year":"2014","journal-title":"PLoS One"},{"key":"B35","doi-asserted-by":"publisher","first-page":"36650","DOI":"10.18632\/oncotarget.16842","article-title":"Association between EN1 rs4144782 and susceptibility of knee osteoarthritis: a case-control study.","volume":"8","author":"Li","year":"2017","journal-title":"Oncotarget"},{"key":"B36","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.1016\/j.bbadis.2017.10.036","article-title":"Predicting and analyzing early wake-up associated gene expressions by integrating GWAS and eQTL studies.","volume":"1864","author":"Li","year":"2017","journal-title":"Biochim. Biophys. Acta Mol. Basis Dis."},{"key":"B37","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.1016\/j.bbadis.2017.10.036","article-title":"Predicting and analyzing early wake-up associated gene expressions by integrating GWAS and eQTL studies.","volume":"1864","author":"Li","year":"2018","journal-title":"Biochim. Biophys. Acta"},{"key":"B38","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2018.00246","article-title":"Identification and analysis of blood gene expression signature for osteoarthritis with advanced feature selection methods.","volume":"9","author":"Li","year":"2018","journal-title":"Front. Genet."},{"key":"B39","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1002\/jcb.27395","article-title":"Identification of synthetic lethality based on a functional network by using machine learning algorithms.","volume":"120","author":"Li","year":"","journal-title":"J. Cell. Biochem."},{"key":"B40","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1038\/s41417-019-0105-y","article-title":"Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.","volume":"27","author":"Li","year":"","journal-title":"Cancer Gene Ther."},{"key":"B41","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1080\/07391102.2016.1138142","article-title":"Analysis and prediction of drug-drug interaction by minimum redundancy maximum relevance and incremental feature selection.","volume":"35","author":"Liu","year":"2017","journal-title":"J. Biomol. Struct. Dyn."},{"key":"B42","first-page":"303","article-title":"Molecular mechanisms of cartilage destruction in osteoarthritis.","volume":"8","author":"Loeser","year":"2008","journal-title":"J. Musculoskelet. Neuronal Interact."},{"key":"B43","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1038\/nrrheum.2014.189","article-title":"Osteoarthritis: epigenetics of articular cartilage in knee and hip OA.","volume":"11","author":"Loughlin","year":"2015","journal-title":"Nat. Rev. Rheumatol."},{"key":"B44","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/j.berh.2008.02.001","article-title":"Cartilage in normal and osteoarthritis conditions.","volume":"22","author":"Martel-Pelletier","year":"2008","journal-title":"Best Pract. Res. Clin. Rheumatol."},{"key":"B45","doi-asserted-by":"publisher","first-page":"245","DOI":"10.3109\/01677060109167380","article-title":"Association analysis of chromosome 15 GABAA receptor subunit genes in autistic disorder.","volume":"15","author":"Menold","year":"2001","journal-title":"J. Neurogenet."},{"key":"B46","doi-asserted-by":"publisher","first-page":"37","DOI":"10.2174\/1874312901812010037","article-title":"DNA methylation in osteoarthritis: current status and therapeutic implications.","volume":"12","author":"Miranda-Duarte","year":"2018","journal-title":"Open Rheumatol. J."},{"key":"B47","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/674215","article-title":"Prediction of substrate-enzyme-product interaction based on molecular descriptors and physicochemical properties.","volume":"2013","author":"Niu","year":"2013","journal-title":"Biomed Res. Int."},{"key":"B48","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0102111","article-title":"Meis1 regulates epidermal stem cells and is required for skin tumorigenesis.","volume":"9","author":"Okumura","year":"2014","journal-title":"PLoS One"},{"key":"B49","doi-asserted-by":"publisher","DOI":"10.3390\/ijms20092185","article-title":"Analysis of expression pattern of snoRNAs in different cancer types with machine learning algorithms.","volume":"20","author":"Pan","year":"2019","journal-title":"Int. J. Mol. Sci."},{"key":"B50","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/tpami.2005.159","article-title":"Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.","volume":"27","author":"Peng","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"B51","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1007\/s10067-015-3087-7","article-title":"Knee and hip radiographic osteoarthritis features: differences on pain, function and quality of life.","volume":"35","author":"Pereira","year":"2016","journal-title":"Clin. Rheumatol."},{"key":"B52","doi-asserted-by":"publisher","first-page":"1844","DOI":"10.1136\/annrheumdis-2013-203405","article-title":"Genes expressed in blood link osteoarthritis with apoptotic pathways.","volume":"73","author":"Ramos","year":"2014","journal-title":"Ann. Rheum. Dis."},{"key":"B53","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.maturitas.2011.12.001","article-title":"Genetics and epigenetics of osteoarthritis.","volume":"71","author":"Reynard","year":"2012","journal-title":"Maturitas"},{"key":"B54","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1038\/s41584-020-0407-3","article-title":"Interplay between genetics and epigenetics in osteoarthritis.","volume":"16","author":"Rice","year":"2020","journal-title":"Nat. Rev. Rheumatol."},{"key":"B55","doi-asserted-by":"publisher","first-page":"2450","DOI":"10.1002\/art.38713","article-title":"Characterization of the cartilage DNA methylome in knee and hip osteoarthritis.","volume":"66","author":"Rushton","year":"2014","journal-title":"Arthritis Rheumatol."},{"key":"B56","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0110607","article-title":"Predicting A-to-I RNA editing by feature selection and random forest.","volume":"9","author":"Shu","year":"2014","journal-title":"PLoS One"},{"key":"B57","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0038845","article-title":"Associations between ionomic profile and metabolic abnormalities in human population.","volume":"7","author":"Sun","year":"2012","journal-title":"PLoS One"},{"key":"B58","doi-asserted-by":"publisher","first-page":"111","DOI":"10.2174\/1570164614666171109120615","article-title":"Identifying the characteristics of the hypusination sites using SMOTE and SVM algorithm with feature selection.","volume":"15","author":"Sun","year":"2018","journal-title":"Curr. Proteomics"},{"key":"B59","doi-asserted-by":"publisher","first-page":"994","DOI":"10.7150\/ijbs.39945","article-title":"DNA methylation is involved in the pathogenesis of osteoarthritis by regulating CtBP expression and CtBP-mediated signaling.","volume":"16","author":"Sun","year":"2020","journal-title":"Int. J. Biol. Sci."},{"key":"B60","doi-asserted-by":"publisher","first-page":"D607","DOI":"10.1093\/nar\/gky1131","article-title":"STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.","volume":"47","author":"Szklarczyk","year":"2018","journal-title":"Nucleic Acids Res."},{"key":"B61","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2164-13-636","article-title":"Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects.","volume":"13","author":"van Eijk","year":"2012","journal-title":"BMC Genomics"},{"key":"B62","doi-asserted-by":"publisher","DOI":"10.3390\/genes9030155","article-title":"Identification of differentially expressed genes between original breast cancer and xenograft using machine learning algorithms.","volume":"9","author":"Wang","year":"2018","journal-title":"Genes"},{"key":"B63","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1038\/leu.2013.260","article-title":"Regulation of MEIS1 by distal enhancer elements in acute leukemia.","volume":"28","author":"Wang","year":"2014","journal-title":"Leukemia"},{"key":"B64","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s11033-018-4463-6","article-title":"The early detection of asthma based on blood gene expression.","volume":"46","author":"Wang","year":"2019","journal-title":"Mol. Biol. Rep."},{"key":"B65","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1097\/FPC.0b013e32830162bc","article-title":"Model-based gene selection shows engrailed 1 is associated with antipsychotic response.","volume":"18","author":"Webb","year":"2008","journal-title":"Pharmacogenet. Genomics"},{"key":"B66","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/s00438-014-0922-5","article-title":"Discriminating between deleterious and neutral non-frameshifting indels based on protein interaction networks and hybrid properties.","volume":"290","author":"Zhang","year":"2014","journal-title":"Mol. Genet. Genomics"},{"key":"B67","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s00438-014-0922-5","article-title":"Discriminating between deleterious and neutral non-frameshifting indels based on protein interaction networks and hybrid properties.","volume":"290","author":"Zhang","year":"2015","journal-title":"Mol. Genet. Genomics"},{"key":"B68","doi-asserted-by":"publisher","first-page":"2750","DOI":"10.1016\/j.bbagen.2016.06.003","article-title":"Classification of cancers based on copy number variation landscapes.","volume":"1860","author":"Zhang","year":"2016","journal-title":"Biochim. Biophys. Acta Gen. Subj."},{"key":"B69","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0123147","article-title":"Classifying ten types of major cancers based on reverse phase protein array profiles.","volume":"10","author":"Zhang","year":"2015","journal-title":"PLoS One"},{"key":"B70","doi-asserted-by":"publisher","first-page":"1243","DOI":"10.3851\/imp2401","article-title":"Plasma microRNA profile as a predictor of early virological response to interferon treatment in chronic hepatitis B patients.","volume":"17","author":"Zhang","year":"2012","journal-title":"Antivir. Ther."},{"key":"B71","doi-asserted-by":"publisher","first-page":"87494","DOI":"10.18632\/oncotarget.20903","article-title":"Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets.","volume":"8","author":"Zhang","year":"2017","journal-title":"Oncotarget"},{"key":"B72","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/414327","article-title":"A novel method of predicting protein disordered regions based on sequence features.","volume":"2013","author":"Zhao","year":"2013","journal-title":"Biomed Res. Int."},{"key":"B73","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1038\/nature14878","article-title":"Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.","volume":"526","author":"Zheng","year":"2015","journal-title":"Nature"},{"key":"B74","doi-asserted-by":"publisher","first-page":"1516","DOI":"10.1002\/2211-5463.12907","article-title":"Alterations in DNA methylation profiles in cancellous bone of postmenopausal women with osteoporosis.","volume":"10","author":"Zhou","year":"2020","journal-title":"FEBS Open Bio"},{"key":"B75","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.1080\/07391102.2014.1001793","article-title":"A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis.","volume":"33","author":"Zhou","year":"2015","journal-title":"J. Biomol. Struct. Dyn."}],"container-title":["Frontiers in Cell and Developmental Biology"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fcell.2020.602024\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T05:43:13Z","timestamp":1604641393000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fcell.2020.602024\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,6]]},"references-count":75,"alternative-id":["10.3389\/fcell.2020.602024"],"URL":"https:\/\/doi.org\/10.3389\/fcell.2020.602024","relation":{},"ISSN":["2296-634X"],"issn-type":[{"value":"2296-634X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,6]]},"article-number":"602024"}}