[1]

Wood JD, Enser M, Fisher AV, Nute GR, Sheard PR, et al. 2008. Fat deposition, fatty acid composition and meat quality: a review. Meat Science 78:343−358

doi: 10.1016/j.meatsci.2007.07.019
[2]

Zheng Q, Lin J, Huang J, Zhang H, Zhang R, et al. 2017. Reconstitution of UCP1 using CRISPR/Cas9 in the white adipose tissue of pigs decreases fat deposition and improves thermogenic capacity. Proceedings of the National Academy of Sciences of the United States of America 114:E9474−E9482

doi: 10.1073/pnas.1707853114
[3]

Meurens F, Summerfield A, Nauwynck H, Saif L, Gerdts V. 2012. The pig: a model for human infectious diseases. Trends in Microbiology 20:50−57

doi: 10.1016/j.tim.2011.11.002
[4]

Fan N, Lai L. 2013. Genetically modified pig models for human diseases. Journal of Genetics and Genomics 40:67−73

doi: 10.1016/j.jgg.2012.07.014
[5]

Rong P, Mu Y, Wang M, Chen L, Liu F, et al. 2025. Targeting IGF1 to alleviate obesity through regulating energy expenditure and fat deposition. Science China Life Sciences 68:1662−1675

doi: 10.1007/s11427-024-2768-y
[6]

Keles U, Ow JR, Kuentzel KB, Zhao LN, Kaldis P. 2022. Liver-derived metabolites as signaling molecules in fatty liver disease. Cellular and Molecular Life Sciences 80:4

doi: 10.1007/s00018-022-04658-8
[7]

Zhao BS, Roundtree IA, He C. 2017. Post-transcriptional gene regulation by mRNA modifications. Nature Reviews Molecular Cell Biology 18:31−42

doi: 10.1038/nrm.2016.132
[8]

Boulias K, Greer EL. 2023. Biological roles of adenine methylation in RNA. Nature Reviews Genetics 24:143−160

doi: 10.1038/s41576-022-00534-0
[9]

Dominissini D, Moshitch-Moshkovitz S, Schwartz S, Salmon-Divon M, Ungar L, et al. 2012. Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq. Nature 485:201−206

doi: 10.1038/nature11112
[10]

Linder B, Grozhik AV, Olarerin-George AO, Meydan C, Mason CE, et al. 2015. Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome. Nature Methods 12:767−772

doi: 10.1038/nmeth.3453
[11]

Liu J, Yue Y, Han D, Wang X, Fu Y, et al. 2014. A METTL3−METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation. Nature Chemical Biology 10:93−95

doi: 10.1038/nchembio.1432
[12]

Liu J, Dou X, Chen C, Chen C, Liu C, et al. 2020. N6-methyladenosine of chromosome-associated regulatory RNA regulates chromatin state and transcription. Science 367:580−586

doi: 10.1126/science.aay6018
[13]

Jia G, Fu Y, Zhao X, Dai Q, Zheng G, et al. 2011. N6-methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO. Nature Chemical Biology 7:885−887

doi: 10.1038/nchembio.687
[14]

Zheng G, Dahl JA, Niu Y, Fedorcsak P, Huang CM, et al. 2013. ALKBH5 is a mammalian RNA demethylase that impacts RNA metabolism and mouse fertility. Molecular Cell 49:18−29

doi: 10.1016/j.molcel.2012.10.015
[15]

Wang X, Zhao BS, Roundtree IA, Lu Z, Han D, et al. 2015. N6-methyladenosine modulates messenger RNA translation efficiency. Cell 161:1388−1399

doi: 10.1016/j.cell.2015.05.014
[16]

Wang X, Lu Z, Gomez A, Hon GC, Yue Y, et al. 2014. N6-methyladenosine-dependent regulation of messenger RNA stability. Nature 505:117−120

doi: 10.1038/nature12730
[17]

Shi H, Wang X, Lu Z, Zhao BS, Ma H, et al. 2017. YTHDF3 facilitates translation and decay of N6-methyladenosine-modified RNA. Cell Research 27:315−328

doi: 10.1038/cr.2017.15
[18]

Xu C, Wang X, Liu K, Roundtree IA, Tempel W, et al. 2014. Structural basis for selective binding of m6A RNA by the YTHDC1 YTH domain. Nature Chemical Biology 10:927−929

doi: 10.1038/nchembio.1654
[19]

Hsu PJ, Zhu Y, Ma H, Guo Y, Shi X, et al. 2017. Ythdc2 is an N6-methyladenosine binding protein that regulates mammalian spermatogenesis. Cell Research 27:1115−1127

doi: 10.1038/cr.2017.99
[20]

Huang H, Weng H, Sun W, Qin X, Shi H, et al. 2018. Recognition of RNA N6-methyladenosine by IGF2BP proteins enhances mRNA stability and translation. Nature Cell Biology 20:285−295

doi: 10.1038/s41556-018-0045-z
[21]

Xiao W, Adhikari S, Dahal U, Chen YS, Hao YJ, et al. 2016. Nuclear m6A reader YTHDC1 regulates mRNA splicing. Molecular Cell 61:507−519

doi: 10.1016/j.molcel.2016.01.012
[22]

Roundtree IA, Luo GZ, Zhang Z, Wang X, Zhou T, et al. 2017. YTHDC1 mediates nuclear export of N6-methyladenosine methylated mRNAs. eLife 6:e31311

doi: 10.7554/eLife.31311
[23]

Liu N, Dai Q, Zheng G, He C, Parisien M, et al. 2015. N6-methyladenosine-dependent RNA structural switches regulate RNA−protein interactions. Nature 518:560−564

doi: 10.1038/nature14234
[24]

Roost C, Lynch SR, Batista PJ, Qu K, Chang HY, et al. 2015. Structure and thermodynamics of N6-methyladenosine in RNA: a spring-loaded base modification. Journal of the American Chemical Society 137:2107−2115

doi: 10.1021/ja513080v
[25]

Wang X, Wu R, Liu Y, Zhao Y, Bi Z, et al. 2020. m6A mRNA methylation controls autophagy and adipogenesis by targeting Atg5 and Atg7. Autophagy 16:1221−1235

doi: 10.1080/15548627.2019.1659617
[26]

Li Y, Zhang Y, Zhang T, Ping X, Wang D, et al. 2023. Rna M6a methylation regulates glycolysis of beige fat and contributes to systemic metabolic homeostasis. Advanced Science 10:e2300436

doi: 10.1002/advs.202300436
[27]

Wu R, Guo G, Bi Z, Liu Y, Zhao Y, et al. 2019. m6A methylation modulates adipogenesis through JAK2-STAT3-C/EBPβ signaling. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 1862:796−806

doi: 10.1016/j.bbagrm.2019.06.008
[28]

Wu R, Chen Y, Liu Y, Zhuang L, Chen W, et al. 2021. m6A methylation promotes white-to-beige fat transition by facilitating Hif1a translation. EMBO Reports 22:e52348

doi: 10.15252/embr.202052348
[29]

Chao M, Wang M, Han H, Liu Y, Sun X, et al. 2024. Profiling of m6A methylation in porcine intramuscular adipocytes and unravelling PHKG1 represses porcine intramuscular lipid deposition in an m6A-dependent manner. International Journal of Biological Macromolecules 272:132728

doi: 10.1016/j.ijbiomac.2024.132728
[30]

Lin J, Cao C, Tao C, Ye R, Dong M, et al. 2017. Cold adaptation in pigs depends on UCP3 in beige adipocytes. Journal of Molecular Cell Biology 9:364−375

doi: 10.1093/jmcb/mjx018
[31]

Chen S, Zhou Y, Chen Y, Gu J. 2018. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34:i884−i890

doi: 10.1093/bioinformatics/bty560
[32]

Ewels P, Magnusson M, Lundin S, Käller M. 2016. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics 32:3047−3048

doi: 10.1093/bioinformatics/btw354
[33]

Warr A, Affara N, Aken B, Beiki H, Bickhart DM, et al. 2020. An improved pig reference genome sequence to enable pig genetics and genomics research. GigaScience 9:giaa051

doi: 10.1093/gigascience/giaa051
[34]

Kim D, Paggi JM, Park C, Bennett C, Salzberg SL. 2019. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nature Biotechnology 37:907−915

doi: 10.1038/s41587-019-0201-4
[35]

Liao Y, Smyth GK, Shi W. 2013. The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote. Nucleic Acids Research 41:e108

doi: 10.1093/nar/gkt214
[36]

Love MI, Huber W, Anders S. 2014. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology 15:550

doi: 10.1186/s13059-014-0550-8
[37]

Ramírez F, Dündar F, Diehl S, Grüning BA, Manke T. 2014. deepTools: a flexible platform for exploring deep-sequencing data. Nucleic Acids Research 42:W187−W191

doi: 10.1093/nar/gku365
[38]

Yu G, Wang LG, Han Y, He QY. 2012. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics 16:284−287

doi: 10.1089/omi.2011.0118
[39]

Yu G, Wang LG, He QY. 2015. ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics 31:2382−2383

doi: 10.1093/bioinformatics/btv145
[40]

Liu L, Zhang SW, Huang Y, Meng J. 2017. QNB: differential RNA methylation analysis for count-based small-sample sequencing data with a quad-negative binomial model. BMC Bioinformatics 18:387

doi: 10.1186/s12859-017-1808-4
[41]

Heinz S, Benner C, Spann N, Bertolino E, Lin YC, et al. 2010. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Molecular Cell 38:576−589

doi: 10.1016/j.molcel.2010.05.004
[42]

Quinlan AR, Hall IM. 2010. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26:841−842

doi: 10.1093/bioinformatics/btq033
[43]

Kanehisa M, Furumichi M, Sato Y, Ishiguro-Watanabe M, Tanabe M. 2021. KEGG: integrating viruses and cellular organisms. Nucleic Acids Research 49:D545−D551

doi: 10.1093/nar/gkaa970
[44]

Fischer J, Koch L, Emmerling C, Vierkotten J, Peters T, et al. 2009. Inactivation of the Fto gene protects from obesity. Nature 458:894−898

doi: 10.1038/nature07848
[45]

Tontonoz P, Spiegelman BM. 2008. Fat and beyond: the diverse biology of PPARgamma. Annual Review of Biochemistry 77:289−312

doi: 10.1146/annurev.biochem.77.061307.091829
[46]

Meyer KD, Saletore Y, Zumbo P, Elemento O, Mason CE, et al. 2012. Comprehensive analysis of mRNA methylation reveals enrichment in 3' UTRs and near stop codons. Cell 149:1635−1646

doi: 10.1016/j.cell.2012.05.003
[47]

Mao Y, Dong L, Liu XM, Guo J, Ma H, et al. 2019. m6A in mRNA coding regions promotes translation via the RNA helicase-containing YTHDC2. Nature Communications 10:5332

doi: 10.1038/s41467-019-13317-9
[48]

Zhang H, Shi X, Huang T, Zhao X, Chen W, et al. 2020. Dynamic landscape and evolution of m6A methylation in human. Nucleic Acids Research 48:6251−6264

doi: 10.1093/nar/gkaa347
[49]

Mandl M, Wagner SA, Hatzmann FM, Mitterberger-Vogt MC, Zwierzina ME, et al. 2019. Sprouty1 is a weight-loss target gene in human adipose stem/progenitor cells that is mandatory for the initiation of adipogenesis. Cell Death & Disease 10:411

doi: 10.1038/s41419-019-1657-3
[50]

Ding F, Zheng P, Yan XY, Chen HJ, Fang HT, et al. 2024. Adipocyte-secreted PRELP promotes adipocyte differentiation and adipose tissue fibrosis by binding with p75(NTR) to activate FAK/MAPK signaling. International Journal of Biological Macromolecules 279:135376

doi: 10.1016/j.ijbiomac.2024.135376
[51]

Lefterova MI, Haakonsson AK, Lazar MA, Mandrup S. 2014. PPARγ and the global map of adipogenesis and beyond. Trends in Endocrinology & Metabolism 25:293−302

doi: 10.1016/j.tem.2014.04.001
[52]

Guo L, Li X, Tang QQ. 2015. Transcriptional regulation of adipocyte differentiation: a central role for CCAAT/enhancer-binding protein (C/EBP) β. Journal of Biological Chemistry 290:755−761

doi: 10.1074/jbc.R114.619957
[53]

Lowe CE, O'Rahilly S, Rochford JJ. 2011. Adipogenesis at a glance. Journal of Cell Science 124:2681−2686

doi: 10.1242/jcs.079699
[54]

Kang Q, Zhu X, Ren D, Ky A, MacDougald OA, et al. 2023. Adipose METTL14-elicited N6-methyladenosine promotes obesity, insulin resistance, and NAFLD through suppressing β adrenergic signaling and lipolysis. Advanced Science 10:e2301645

doi: 10.1002/advs.202301645
[55]

Merkestein M, Laber S, McMurray F, Andrew D, Sachse G, et al. 2015. FTO influences adipogenesis by regulating mitotic clonal expansion. Nature Communications 6:6792

doi: 10.1038/ncomms7792
[56]

Chao X, Guo L, Ye C, Liu A, Wang X, et al. 2024. ALKBH5 regulates chicken adipogenesis by mediating LCAT mRNA stability depending on m6A modification. BMC Genomics 25:634

doi: 10.1186/s12864-024-10537-2
[57]

Wu Q, Li B, Li Z, Li J, Sun S, et al. 2019. Cancer-associated adipocytes: key players in breast cancer progression. Journal of Hematology & Oncology 12:95

doi: 10.1186/s13045-019-0778-6
[58]

Attané C, Muller C. 2020. Drilling for oil: tumor-surrounding adipocytes fueling cancer. Trends in Cancer 6:593−604

doi: 10.1016/j.trecan.2020.03.001
[59]

Cha YJ, Kim ES, Koo JS. 2018. Tumor-associated macrophages and crown-like structures in adipose tissue in breast cancer. Breast Cancer Research and Treatment 170:15−25

doi: 10.1007/s10549-018-4722-1
[60]

Liu XM, Zhou J, Mao Y, Ji Q, Qian SB. 2019. Programmable RNA N6-methyladenosine editing by CRISPR-Cas9 conjugates. Nature Chemical Biology 15:865−871

doi: 10.1038/s41589-019-0327-1
[61]

Wilson C, Chen PJ, Miao Z, Liu DR. 2020. Programmable m6A modification of cellular RNAs with a Cas13-directed methyltransferase. Nature Biotechnology 38:1431−1440

doi: 10.1038/s41587-020-0572-6
[62]

Xiang JF, Yang Q, Liu CX, Wu M, Chen LL, et al. 2018. N6-methyladenosines modulate A-to-I RNA editing. Molecular Cell 69:126−135.E6

doi: 10.1016/j.molcel.2017.12.006
[63]

Xia Z, Tang M, Ma J, Zhang H, Gimple RC, et al. 2021. Epitranscriptomic editing of the RNA N6-methyladenosine modification by dCasRx conjugated methyltransferase and demethylase. Nucleic Acids Research 49:7361−7374

doi: 10.1093/nar/gkab517