MethBank 4.0: an updated database of DNA methylation across a variety of species.

Mochen Zhang, Wenting Zong, Dong Zou, Guoliang Wang, Wei Zhao, Fei Yang, Song Wu, Xinran Zhang, Xutong Guo, Yingke Ma, Zhuang Xiong, Zhang Zhang, Yiming Bao, Rujiao Li
Author Information
  1. Mochen Zhang: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China. ORCID
  2. Wenting Zong: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China. ORCID
  3. Dong Zou: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  4. Guoliang Wang: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  5. Wei Zhao: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  6. Fei Yang: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  7. Song Wu: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China. ORCID
  8. Xinran Zhang: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  9. Xutong Guo: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  10. Yingke Ma: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  11. Zhuang Xiong: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China. ORCID
  12. Zhang Zhang: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China. ORCID
  13. Yiming Bao: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
  14. Rujiao Li: National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.

Abstract

DNA methylation, as the most intensively studied epigenetic mark, regulates gene expression in numerous biological processes including development, aging, and disease. With the rapid accumulation of whole-genome bisulfite sequencing data, integrating, archiving, analyzing, and visualizing those data becomes critical. Since its first publication in 2015, MethBank has been continuously updated to include more DNA methylomes across more diverse species. Here, we present MethBank 4.0 (https://ngdc.cncb.ac.cn/methbank/), which reports an increase of 309% in data volume, with 1449 single-base resolution methylomes of 23 species, covering 236 tissues/cell lines and 15 biological contexts. Value-added information, such as more rigorous quality evaluation, more standardized metadata, and comprehensive downstream annotations have been integrated in the new version. Moreover, expert-curated knowledge modules of featured differentially methylated genes associated with biological contexts and methylation analysis tools have been incorporated as new components of MethBank. In addition, MethBank 4.0 is equipped with a series of new web interfaces to browse, search, and visualize DNA methylation profiles and related information. With all these improvements, we believe the updated MethBank 4.0 will serve as a fundamental resource to provide a wide range of data services for the global research community.

References

  1. Nucleic Acids Res. 2022 Jan 7;50(D1):D380-D386 [PMID: 34570235]
  2. Sci Rep. 2021 Jun 1;11(1):11405 [PMID: 34075163]
  3. Nat Rev Genet. 2010 Mar;11(3):204-20 [PMID: 20142834]
  4. Annu Rev Plant Biol. 2004;55:41-68 [PMID: 15725056]
  5. Nat Rev Mol Cell Biol. 2019 Oct;20(10):590-607 [PMID: 31399642]
  6. Science. 2013 Aug 9;341(6146):1237905 [PMID: 23828890]
  7. Proc Natl Acad Sci U S A. 1982 Jun;79(11):3418-22 [PMID: 6954487]
  8. Trends Plant Sci. 2019 Dec;24(12):1137-1150 [PMID: 31604599]
  9. J Clin Invest. 2020 Apr 1;130(4):1653-1668 [PMID: 32091413]
  10. Nucleic Acids Res. 2015 Jan;43(Database issue):D54-8 [PMID: 25294826]
  11. Nucleic Acids Res. 2017 Jan 4;45(D1):D97-D103 [PMID: 27794041]
  12. Nucleic Acids Res. 2022 Jan 7;50(D1):D27-D38 [PMID: 34718731]
  13. Nat Rev Mol Cell Biol. 2018 Aug;19(8):489-506 [PMID: 29784956]
  14. Epigenetics. 2022 Jun-Jul;17(7):746-758 [PMID: 34461811]
  15. Cells. 2020 Dec 10;9(12): [PMID: 33321757]
  16. Nat Biotechnol. 2010 Oct;28(10):1057-68 [PMID: 20944598]
  17. Nat Genet. 2020 Aug;52(8):778-789 [PMID: 32661416]
  18. Nucleic Acids Res. 2014 Apr;42(6):e45 [PMID: 24423865]
  19. Nat Genet. 2000 May;25(1):25-9 [PMID: 10802651]
  20. Semin Cancer Biol. 1999 Oct;9(5):349-57 [PMID: 10547343]
  21. Bioinformatics. 2016 May 15;32(10):1446-53 [PMID: 26819470]
  22. Annu Rev Plant Biol. 2011;62:411-35 [PMID: 21438682]
  23. Nucleic Acids Res. 2017 Jan 4;45(D1):D353-D361 [PMID: 27899662]
  24. Commun Biol. 2020 May 12;3(1):235 [PMID: 32398676]
  25. Nature. 2009 Nov 19;462(7271):315-22 [PMID: 19829295]
  26. Nucleic Acids Res. 2022 Jan 7;50(D1):D1004-D1009 [PMID: 34718752]
  27. Clin Epigenetics. 2021 Dec 4;13(1):214 [PMID: 34863305]
  28. Nat Rev Clin Oncol. 2018 Jul;15(7):459-466 [PMID: 29666440]
  29. Nucleic Acids Res. 2017 Jan 4;45(D1):D347-D352 [PMID: 27733503]
  30. Nucleic Acids Res. 2003 Jan 1;31(1):75-7 [PMID: 12519951]
  31. Nucleic Acids Res. 2022 Mar 24;: [PMID: 35325188]
  32. Nucleic Acids Res. 2018 Jan 4;46(D1):D288-D295 [PMID: 29161430]
  33. Philos Trans R Soc Lond B Biol Sci. 2013 Jan 5;368(1609):20110328 [PMID: 23166392]
  34. J Mol Med (Berl). 2019 Sep;97(9):1315-1327 [PMID: 31256208]
  35. Bioinformatics. 2011 Jun 1;27(11):1571-2 [PMID: 21493656]
  36. Nucleic Acids Res. 2022 Jan 7;50(D1):D1255-D1261 [PMID: 34755882]
  37. Cancer Rep (Hoboken). 2019 Apr;2(2):e1153 [PMID: 32721098]
  38. Neoplasia. 2013 Apr;15(4):373-83 [PMID: 23555183]
  39. Genome Biol. 2021 Apr 22;22(1):116 [PMID: 33888138]
  40. Front Genet. 2022 Jan 07;12:810985 [PMID: 35069703]
  41. Int J Mol Sci. 2018 Jul 23;19(7): [PMID: 30041459]
  42. Nature. 2015 Jan 15;517(7534):321-6 [PMID: 25592537]

MeSH Term

Databases, Factual
DNA Methylation
Epigenome
Epigenomics
Sequence Analysis, DNA
Whole Genome Sequencing
Databases, Genetic

Links to CNCB-NGDC Resources

Database Commons: DBC000005 (MethBank)

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