{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T12:23:05Z","timestamp":1778070185987,"version":"3.51.4"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1006663","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T00:00:00Z","timestamp":1547424000000}}],"reference-count":86,"publisher":"Public Library of Science (PLoS)","issue":"1","license":[{"start":{"date-parts":[[2019,1,2]],"date-time":"2019-01-02T00:00:00Z","timestamp":1546387200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1006663","type":"journal-article","created":{"date-parts":[[2019,1,2]],"date-time":"2019-01-02T13:34:21Z","timestamp":1546436061000},"page":"e1006663","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":41,"title":["Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods"],"prefix":"10.1371","volume":"15","author":[{"given":"Song-Yao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1305-7447","authenticated-orcid":true,"given":"Shao-Wu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Nan","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3455-205X","authenticated-orcid":true,"given":"Jia","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yidong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shou-Jiang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6268-5357","authenticated-orcid":true,"given":"Yufei","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2019,1,2]]},"reference":[{"issue":"7","key":"ref1","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1016\/j.cell.2012.05.003","article-title":"Comprehensive analysis of mRNA methylation reveals enrichment in 3' UTRs and near stop codons","volume":"149","author":"KD Meyer","year":"2012","journal-title":"Cell"},{"issue":"7397","key":"ref2","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1038\/nature11112","article-title":"Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq","volume":"485","author":"D Dominissini","year":"2012","journal-title":"Nature"},{"issue":"2","key":"ref3","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1038\/cr.2014.3","article-title":"Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase","volume":"24","author":"XL Ping","year":"2014","journal-title":"Cell research"},{"issue":"2","key":"ref4","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1038\/ncb2902","article-title":"N6-methyladenosine modification destabilizes developmental regulators in embryonic stem cells","volume":"16","author":"Y Wang","year":"2014","journal-title":"Nat Cell Biol"},{"issue":"12","key":"ref5","doi-asserted-by":"crossref","first-page":"1832","DOI":"10.1093\/bioinformatics\/btw074","article-title":"Gene expression inference with deep learning","volume":"32","author":"Y Chen","year":"2016","journal-title":"Bioinformatics"},{"issue":"6","key":"ref6","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1016\/j.cell.2015.05.014","article-title":"N(6)-methyladenosine Modulates Messenger RNA Translation Efficiency","volume":"161","author":"X Wang","year":"2015","journal-title":"Cell"},{"issue":"7574","key":"ref7","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1038\/nature15377","article-title":"Dynamic m(6)A mRNA methylation directs translational control of heat shock response","volume":"526","author":"J Zhou","year":"2015","journal-title":"Nature"},{"issue":"4","key":"ref8","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1016\/j.cell.2013.10.026","article-title":"RNA-Methylation-Dependent RNA Processing Controls the Speed of the Circadian Clock","volume":"155","author":"J-M Fustin","year":"2013","journal-title":"Cell"},{"issue":"1","key":"ref9","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.molcel.2012.10.015","article-title":"ALKBH5 is a mammalian RNA demethylase that impacts RNA metabolism and mouse fertility","volume":"49","author":"G Zheng","year":"2013","journal-title":"Mol Cell"},{"issue":"2","key":"ref10","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/j.cell.2017.03.031","article-title":"Transcription Impacts the Efficiency of mRNA Translation via Co-transcriptional N6-adenosine Methylation","volume":"169","author":"B Slobodin","year":"2017","journal-title":"Cell"},{"issue":"12","key":"ref11","doi-asserted-by":"crossref","first-page":"7531","DOI":"10.1074\/jbc.M706082200","article-title":"Post-transcriptional regulation of neuro-oncological ventral antigen 1 by the neuronal RNA-binding proteins ELAV","volume":"283","author":"A Ratti","year":"2008","journal-title":"Journal of Biological Chemistry"},{"issue":"1","key":"ref12","doi-asserted-by":"crossref","first-page":"45","DOI":"10.2174\/1568009023334088","article-title":"WT1 as a novel target antigen for cancer immunotherapy","volume":"2","author":"Y Oka","year":"2002","journal-title":"Current cancer drug targets"},{"issue":"3","key":"ref13","first-page":"921","article-title":"Wilms\u2019 tumor suppressor gene (WT1) is expressed in primary breast tumors despite tumor-specific promoter methylation","volume":"61","author":"DM Loeb","year":"2001","journal-title":"Cancer research"},{"issue":"5","key":"ref14","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1038\/leu.2014.16","article-title":"WTAP is a novel oncogenic protein in acute myeloid leukemia","volume":"28","author":"H Bansal","year":"2014","journal-title":"Leukemia"},{"issue":"4","key":"ref15","doi-asserted-by":"crossref","first-page":"e58350","DOI":"10.1371\/journal.pone.0058350","article-title":"Evaluating genome-wide association study-identified breast cancer risk variants in African-American women","volume":"8","author":"J Long","year":"2013","journal-title":"PLoS One"},{"issue":"1","key":"ref16","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1186\/1471-2350-12-52","article-title":"The role of the fat mass and obesity associated gene (FTO) in breast cancer risk","volume":"12","author":"V Kaklamani","year":"2011","journal-title":"BMC medical genetics"},{"issue":"8","key":"ref17","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1515\/cclm-2013-0168","article-title":"ABO blood group: old dogma, new perspectives","volume":"51","author":"M Franchini","year":"2013","journal-title":"Clinical Chemistry and Laboratory Medicine"},{"issue":"1","key":"ref18","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ccell.2016.11.017","article-title":"FTO Plays an Oncogenic Role in Acute Myeloid Leukemia as a N6-Methyladenosine RNA Demethylase","volume":"31","author":"Z Li","year":"2017","journal-title":"Cancer cell"},{"issue":"3","key":"ref19","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1016\/j.cell.2007.04.019","article-title":"Hypoxia-inducible factors, stem cells, and cancer","volume":"129","author":"B Keith","year":"2007","journal-title":"Cell"},{"issue":"14","key":"ref20","doi-asserted-by":"crossref","first-page":"E2047","DOI":"10.1073\/pnas.1602883113","article-title":"Hypoxia induces the breast cancer stem cell phenotype by HIF-dependent and ALKBH5-mediated m6A-demethylation of NANOG mRNA","volume":"113","author":"C Zhang","year":"2016","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"ref21","article-title":"The m 6 A Methyltransferase METTL3 Promotes Translation in Human Cancer Cells","author":"S Lin","year":"2016","journal-title":"Molecular cell"},{"issue":"5","key":"ref22","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1016\/j.chom.2016.10.002","article-title":"Dynamics of Human and Viral RNA Methylation during Zika Virus Infection","volume":"20","author":"G Lichinchi","year":"2016","journal-title":"Cell Host Microbe"},{"issue":"5","key":"ref23","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1016\/j.chom.2016.04.002","article-title":"Posttranscriptional m(6)A Editing of HIV-1 mRNAs Enhances Viral Gene Expression","volume":"19","author":"EM Kennedy","year":"2016","journal-title":"Cell Host Microbe"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.15528","article-title":"N(6)-methyladenosine of HIV-1 RNA regulates viral infection and HIV-1 Gag protein expression","volume":"5","author":"N Tirumuru","year":"2016","journal-title":"Elife"},{"issue":"1","key":"ref25","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1038\/s41564-017-0056-8","article-title":"Viral and cellular N 6-methyladenosine and N 6, 2\u2032-O-dimethyladenosine epitranscriptomes in the KSHV life cycle","volume":"3","author":"B Tan","year":"2018","journal-title":"Nature microbiology"},{"issue":"D1","key":"ref26","doi-asserted-by":"crossref","first-page":"D281","DOI":"10.1093\/nar\/gkx1080","article-title":"MeT-DB V2. 0: elucidating context-specific functions of N 6-methyl-adenosine methyltranscriptome","volume":"46","author":"H Liu","year":"2017","journal-title":"Nucleic acids research"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.ab.2015.12.017","article-title":"pRNAm-PC: Predicting N 6-methyladenosine sites in RNA sequences via physical\u2013chemical properties","volume":"497","author":"Z Liu","year":"2016","journal-title":"Analytical biochemistry"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.ab.2015.08.021","article-title":"iRNA-Methyl: Identifying N 6-methyladenosine sites using pseudo nucleotide composition","volume":"490","author":"W Chen","year":"2015","journal-title":"Analytical biochemistry"},{"issue":"10","key":"ref29","doi-asserted-by":"crossref","first-page":"e91","DOI":"10.1093\/nar\/gkw104","article-title":"SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features","volume":"44","author":"Y Zhou","year":"2016","journal-title":"Nucleic acids research"},{"issue":"10","key":"ref30","doi-asserted-by":"crossref","first-page":"e0162707","DOI":"10.1371\/journal.pone.0162707","article-title":"RNAMethPre: A Web Server for the Prediction and Query of mRNA m 6 A Sites","volume":"11","author":"S Xiang","year":"2016","journal-title":"PloS one"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.1038\/srep46757","article-title":"Identifying N6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine","volume":"7","author":"P Xing","year":"2017","journal-title":"Scientific Reports"},{"issue":"3","key":"ref32","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1080\/07391102.2016.1157761","article-title":"MethyRNA: a web server for identification of N6-methyladenosine sites","volume":"35","author":"W Chen","year":"2017","journal-title":"Journal of Biomolecular Structure and Dynamics"},{"key":"ref33","article-title":"Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites","author":"L Wei","year":"2018","journal-title":"Neurocomputing"},{"issue":"5","key":"ref34","doi-asserted-by":"crossref","DOI":"10.1093\/gigascience\/giy035","article-title":"m6ASNP: a tool for annotating genetic variants by m6A function","volume":"7","author":"S Jiang","year":"2018","journal-title":"GigaScience"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.ab.2015.08.021","article-title":"iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition","volume":"490","author":"W Chen","year":"2015","journal-title":"Analytical biochemistry"},{"issue":"3","key":"ref36","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.ymeth.2014.06.008","article-title":"A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R\/Bioconductor package","volume":"69","author":"J Meng","year":"2014","journal-title":"Methods"},{"key":"ref37","article-title":"MeTDiff: a Novel Differential RNA Methylation Analysis for MeRIP-Seq Data","author":"X Cui","year":"2015","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"issue":"11","key":"ref38","doi-asserted-by":"crossref","first-page":"3333","DOI":"10.1039\/C6MB00536E","article-title":"AthMethPre: A web server for the prediction and query of mRNA m 6 A sites in Arabidopsis thaliana","volume":"12","author":"S Xiang","year":"2016","journal-title":"Molecular BioSystems"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"40242","DOI":"10.1038\/srep40242","article-title":"Detecting N 6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines","volume":"7","author":"W Chen","year":"2017","journal-title":"Scientific reports"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"46757","DOI":"10.1038\/srep46757","article-title":"Identifying N 6-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine","volume":"7","author":"P Xing","year":"2017","journal-title":"Scientific reports"},{"issue":"12","key":"ref41","doi-asserted-by":"crossref","first-page":"1565","DOI":"10.1093\/bioinformatics\/btt171","article-title":"Exome-based analysis for RNA epigenome sequencing data","volume":"29","author":"J Meng","year":"2013","journal-title":"Bioinformatics"},{"issue":"12","key":"ref42","doi-asserted-by":"crossref","first-page":"i378","DOI":"10.1093\/bioinformatics\/btw281","article-title":"A novel algorithm for calling mRNA m 6 A peaks by modeling biological variances in MeRIP-seq data","volume":"32","author":"X Cui","year":"2016","journal-title":"Bioinformatics"},{"issue":"12","key":"ref43","doi-asserted-by":"crossref","first-page":"e1005287","DOI":"10.1371\/journal.pcbi.1005287","article-title":"m6A-Driver: identifying context-specific mRNA m6A methylation-driven gene interaction networks","volume":"12","author":"S-Y Zhang","year":"2016","journal-title":"PLoS computational biology"},{"issue":"11","key":"ref44","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","article-title":"Gradient-based learning applied to document recognition","volume":"86","author":"Y LeCun","year":"1998","journal-title":"Proceedings of the IEEE"},{"issue":"8","key":"ref45","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1038\/nmeth.3453","article-title":"Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome","volume":"12","author":"B Linder","year":"2015","journal-title":"Nature methods"},{"issue":"2","key":"ref46","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1038\/ng.3168","article-title":"Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes","volume":"47","author":"MD Leiserson","year":"2015","journal-title":"Nature genetics"},{"issue":"9","key":"ref47","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1093\/bioinformatics\/btq108","article-title":"Genome-wide inferring gene\u2013phenotype relationship by walking on the heterogeneous network","volume":"26","author":"Y Li","year":"2010","journal-title":"Bioinformatics"},{"issue":"2","key":"ref48","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/0197-2456(81)90001-5","article-title":"Introduction to sample size determination and power analysis for clinical trials","volume":"2","author":"JM Lachin","year":"1981","journal-title":"Controlled clinical trials"},{"issue":"2","key":"ref49","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1111\/j.2517-6161.1953.tb00135.x","article-title":"New light on the correlation coefficient and its transforms","volume":"15","author":"H. Hotelling","year":"1953","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"ref50","article-title":"The BioGRID interaction database: 2015 update","author":"A Chatr-aryamontri","year":"2014","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"ref51","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1186\/1752-0509-6-92","article-title":"HINT: High-quality protein interactomes and their applications in understanding human disease","volume":"6","author":"J Das","year":"2012","journal-title":"BMC systems biology"},{"issue":"6","key":"ref52","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1038\/nmeth.1597","article-title":"Next-generation sequencing to generate interactome datasets","volume":"8","author":"H Yu","year":"2011","journal-title":"Nature methods"},{"issue":"3","key":"ref53","doi-asserted-by":"crossref","first-page":"e1002886","DOI":"10.1371\/journal.pcbi.1002886","article-title":"Interpretation of genomic variants using a unified biological network approach","volume":"9","author":"E Khurana","year":"2013","journal-title":"PLoS computational biology"},{"issue":"1","key":"ref54","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1186\/1471-2105-9-405","article-title":"iRefIndex: a consolidated protein interaction database with provenance","volume":"9","author":"S Razick","year":"2008","journal-title":"BMC bioinformatics"},{"issue":"19","key":"ref55","doi-asserted-by":"crossref","first-page":"2037","DOI":"10.1101\/gad.269415.115","article-title":"A majority of m6A residues are in the last exons, allowing the potential for 3\u2032 UTR regulation","volume":"29","author":"S Ke","year":"2015","journal-title":"Genes & development"},{"key":"ref56","article-title":"Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks","author":"X Pan","year":"2018","journal-title":"Bioinformatics"},{"key":"ref57","unstructured":"Zeiler MD. ADADELTA: an adaptive learning rate method. arXiv preprint arXiv:12125701. 2012."},{"key":"ref58","article-title":"Guitar: an R\/bioconductor package for gene annotation guided Transcriptomic analysis of RNA-related genomic features","volume":"2016","author":"X Cui","year":"2016","journal-title":"BioMed Research International"},{"issue":"9","key":"ref59","doi-asserted-by":"crossref","first-page":"R60","DOI":"10.1186\/gb-2003-4-9-r60","article-title":"DAVID: database for annotation, visualization, and integrated discovery","volume":"4","author":"G Dennis","year":"2003","journal-title":"Genome biology"},{"issue":"12","key":"ref60","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1038\/cr.2014.151","article-title":"FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis","volume":"24","author":"X Zhao","year":"2014","journal-title":"Cell research"},{"issue":"15","key":"ref61","doi-asserted-by":"crossref","first-page":"1837","DOI":"10.1101\/gad.14.15.1837","article-title":"Wnt signaling and cancer","volume":"14","author":"P. Polakis","year":"2000","journal-title":"Genes & development"},{"issue":"7035","key":"ref62","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1038\/nature03319","article-title":"Wnt signalling in stem cells and cancer","volume":"434","author":"T Reya","year":"2005","journal-title":"Nature"},{"issue":"2","key":"ref63","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/S0092-8674(00)00122-7","article-title":"Linking colorectal cancer to Wnt signaling","volume":"103","author":"M Bienz","year":"2000","journal-title":"Cell"},{"issue":"1","key":"ref64","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s13073-016-0395-8","article-title":"Emerging links between m 6 A and misregulated mRNA methylation in cancer","volume":"9","author":"SR Jaffrey","year":"2017","journal-title":"Genome medicine"},{"issue":"6","key":"ref65","doi-asserted-by":"crossref","first-page":"2254","DOI":"10.1002\/hep.29683","article-title":"RNA N6\u2010methyladenosine methyltransferase\u2010like 3 promotes liver cancer progression through YTHDF2\u2010dependent posttranscriptional silencing of SOCS2","volume":"67","author":"M Chen","year":"2018","journal-title":"Hepatology"},{"key":"ref66","article-title":"The epitranscriptome of noncoding RNAs in cancer","author":"M Esteller","year":"2017","journal-title":"Cancer discovery"},{"issue":"58","key":"ref67","doi-asserted-by":"crossref","first-page":"98918","DOI":"10.18632\/oncotarget.22041","article-title":"Reduced m6A mRNA methylation is correlated with the progression of human cervical cancer","volume":"8","author":"X Wang","year":"2017","journal-title":"Oncotarget"},{"issue":"5","key":"ref68","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1038\/leu.2014.16","article-title":"WTAP is a novel oncogenic protein in acute myeloid leukemia","volume":"28","author":"H Bansal","year":"2014","journal-title":"Leukemia"},{"issue":"11","key":"ref69","doi-asserted-by":"crossref","first-page":"1369","DOI":"10.1038\/nm.4416","article-title":"The N 6-methyladenosine (m 6 A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells","volume":"23","author":"LP Vu","year":"2017","journal-title":"Nature medicine"},{"issue":"1","key":"ref70","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ccell.2016.11.017","article-title":"FTO plays an oncogenic role in acute myeloid leukemia as a N 6-methyladenosine RNA demethylase","volume":"31","author":"Z Li","year":"2017","journal-title":"Cancer Cell"},{"issue":"6","key":"ref71","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1016\/j.cell.2015.05.014","article-title":"N 6-methyladenosine modulates messenger RNA translation efficiency","volume":"161","author":"X Wang","year":"2015","journal-title":"Cell"},{"issue":"3","key":"ref72","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.molcel.2016.03.021","article-title":"The m 6 A Methyltransferase METTL3 Promotes Translation in Human Cancer Cells","volume":"62","author":"S Lin","year":"2016","journal-title":"Molecular cell"},{"key":"ref73","doi-asserted-by":"crossref","DOI":"10.1210\/jc.2018-00619","article-title":"Glucose is involved in the dynamic regulation of m6A in patients with type 2 diabetes","author":"Y Yang","year":"2018","journal-title":"The Journal of clinical endocrinology and metabolism"},{"issue":"56","key":"ref74","doi-asserted-by":"crossref","first-page":"96103","DOI":"10.18632\/oncotarget.21726","article-title":"The M6A methyltransferase METTL3: acting as a tumor suppressor in renal cell carcinoma","volume":"8","author":"X Li","year":"2017","journal-title":"Oncotarget"},{"issue":"1","key":"ref75","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.trsl.2014.04.003","article-title":"RNA epigenetics","volume":"165","author":"N Liu","year":"2015","journal-title":"Translational Research"},{"issue":"6","key":"ref76","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1093\/gerona\/61.6.547","article-title":"A polymorphism of the YTHDF2 gene (1p35) located in an Alu-rich genomic domain is associated with human longevity","volume":"61","author":"M Cardelli","year":"2006","journal-title":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences"},{"issue":"7","key":"ref77","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1016\/j.cell.2012.05.003","article-title":"Comprehensive analysis of mRNA methylation reveals enrichment in 3\u2032 UTRs and near stop codons","volume":"149","author":"KD Meyer","year":"2012","journal-title":"Cell"},{"issue":"4","key":"ref78","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1016\/j.ccell.2017.02.013","article-title":"m 6 A demethylase ALKBH5 maintains tumorigenicity of glioblastoma stem-like cells by sustaining FOXM1 expression and cell proliferation program","volume":"31","author":"S Zhang","year":"2017","journal-title":"Cancer cell"},{"key":"ref79","doi-asserted-by":"crossref","DOI":"10.1093\/database\/bav028","article-title":"DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes","volume":"2015","author":"J Pi\u00f1ero","year":"2015","journal-title":"Database"},{"issue":"7683","key":"ref80","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1038\/nature24678","article-title":"Promoter-bound METTL3 maintains myeloid leukaemia by m 6 A-dependent translation control","volume":"552","author":"I Barbieri","year":"2017","journal-title":"Nature"},{"key":"ref81","doi-asserted-by":"crossref","first-page":"D940","DOI":"10.1093\/nar\/gkr972","article-title":"Disease Ontology: a backbone for disease semantic integration","volume":"40","author":"LM Schriml","year":"2012","journal-title":"Nucleic Acids Res"},{"issue":"4","key":"ref82","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1093\/bioinformatics\/btu684","article-title":"DOSE: an R\/Bioconductor package for disease ontology semantic and enrichment analysis","volume":"31","author":"GC Yu","year":"2015","journal-title":"Bioinformatics"},{"issue":"suppl_1","key":"ref83","first-page":"D514","article-title":"Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders","volume":"33","author":"A Hamosh","year":"2005","journal-title":"Nucleic acids research"},{"issue":"3","key":"ref84","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1038\/nprot.2012.016","article-title":"Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks","volume":"7","author":"C Trapnell","year":"2012","journal-title":"Nature protocols"},{"key":"ref85","article-title":"Pan-cancer identification of mutated pathways and protein complexes","author":"MD Leiserson","year":"2014","journal-title":"AACR"},{"key":"ref86","unstructured":"Milo R, Kashtan N, Itzkovitz S, Newman ME, Alon U. On the uniform generation of random graphs with prescribed degree sequences. arXiv preprint cond-mat\/0312028. 2003."}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1006663","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T00:00:00Z","timestamp":1547424000000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006663","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T12:00:25Z","timestamp":1662724825000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006663"}},"subtitle":[],"editor":[{"given":"Andrey","family":"Rzhetsky","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2019,1,2]]},"references-count":86,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,1,2]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1006663","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/461673","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,2]]}}}