Whole-genome bisulfite sequencing identifies stage- and subtype-specific DNA methylation signatures in pancreatic cancer

被引:4
|
作者
Wang, Sarah S. [1 ]
Hall, Madison L. [1 ]
Lee, Eunjung [1 ]
Kim, Soon-Chan [6 ,7 ]
Ramesh, Neha [1 ]
Lee, Sang Hyub [2 ,3 ]
Jang, Jin-Young [4 ,5 ]
Bold, Richard J. [8 ,9 ]
Ku, Ja-Lok [6 ,7 ]
Hwang, Chang-Il [1 ,9 ]
机构
[1] Univ Calif Davis, Coll Biol Sci, Dept Microbiol & Mol Genet, Davis, CA 95616 USA
[2] Seoul Natl Univ, Seoul Natl Univ Coll Med, Dept Internal Med, Coll Med, Seoul, South Korea
[3] Seoul Natl Univ, Seoul Natl Univ Coll Med, Liver Res Inst, Coll Med, Seoul, South Korea
[4] Seoul Natl Univ, Dept Surg, Coll Med, Seoul, South Korea
[5] Seoul Natl Univ, Canc Res Inst, Coll Med, Seoul, South Korea
[6] Seoul Natl Univ, Dept Biomed Sci, Lab Cell Biol, Korean Cell Line Bank,Coll Med, Seoul, South Korea
[7] Seoul Natl Univ, Canc Res Inst, Coll Med, Seoul, South Korea
[8] Univ Calif Davis, Dept Surg, Div Surg Oncol, Sacramento, CA USA
[9] Univ Calif Davis, Comprehens Canc Ctr, Sacramento, CA 95817 USA
关键词
DUCTAL ADENOCARCINOMA; MOLECULAR SUBTYPES; CELL; HYPOMETHYLATION; METASTASIS; ANNOTATION; EXPRESSION; SELECTION; PATTERNS; ELEMENTS;
D O I
10.1016/j.isci.2024.109414
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In pancreatic ductal adenocarcinoma (PDAC), no recurrent metastasis -specific mutation has been found, suggesting that epigenetic mechanisms, such as DNA methylation, are the major contributors of latestage disease progression. Here, we performed the first whole-genome bisulfite sequencing (WGBS) on mouse and human PDAC organoid models to identify stage -specific and molecular subtype -specific DNA methylation signatures. With this approach, we identified thousands of differentially methylated regions (DMRs) that can distinguish between the stages and molecular subtypes of PDAC. Stage -specific DMRs are associated with genes related to nervous system development and cell -cell adhesions, and are enriched in promoters and bivalent enhancers. Subtype -specific DMRs showed hypermethylation of GATA6 foregut endoderm transcriptional networks in the squamous subtype and hypermethylation of EMT transcriptional networks in the progenitor subtype. These results indicate that aberrant DNA methylation contributes to both PDAC progression and subtype differentiation, resulting in significant and reoccurring DNA methylation patterns with diagnostic and prognostic potential.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Whole genome bisulfite sequencing of human and mouse organoid models of PDAC progression identifies stage- and subtype-specific DNA methylation signatures
    Wang, Sarah S.
    Hall, Madison
    Lee, Eun Jung
    Ramesh, Neha
    Lee, Sang Hyub
    Jang, Jin-Young
    Ku, Ja-Lok
    Hwang, Chang-Il
    CANCER RESEARCH, 2024, 84 (02)
  • [2] Whole-genome bisulfite sequencing identifies HDAC3-mediated DNA methylation in multiple myeloma
    Ogiya, Daisuke
    Ohguchi, Hiroto
    Liu, Jiye
    Kurata, Keiji
    Adamia, Sophia
    Hideshima, Teru
    Anderson, Kenneth C.
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2019, 19 (10): : E72 - E72
  • [3] Whole-genome bisulfite sequencing of goat skins identifies signatures associated with hair cycling
    Chao Li
    Yan Li
    Guangxian Zhou
    Ye Gao
    Sen Ma
    Yulin Chen
    Jiuzhou Song
    Xiaolong Wang
    BMC Genomics, 19
  • [4] Whole-genome bisulfite sequencing of goat skins identifies signatures associated with hair cycling
    Li, Chao
    Li, Yan
    Zhou, Guangxian
    Gao, Ye
    Ma, Sen
    Chen, Yulin
    Song, Jiuzhou
    Wang, Xiaolong
    BMC GENOMICS, 2018, 19
  • [5] Coverage recommendations for methylation analysis by whole-genome bisulfite sequencing
    Ziller, Michael J.
    Hansen, Kasper D.
    Meissner, Alexander
    Aryee, Martin J.
    NATURE METHODS, 2015, 12 (03) : 230 - +
  • [6] Coverage recommendations for methylation analysis by whole-genome bisulfite sequencing
    Ziller M.J.
    Hansen K.D.
    Meissner A.
    Aryee M.J.
    Nature Methods, 2015, 12 (3) : 230 - 232
  • [7] Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
    Nelly Olova
    Felix Krueger
    Simon Andrews
    David Oxley
    Rebecca V. Berrens
    Miguel R. Branco
    Wolf Reik
    Genome Biology, 19
  • [8] A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation
    Rackham, Owen J. L.
    Langley, Sarah R.
    Oates, Thomas
    Vradi, Eleni
    Harmston, Nathan
    Srivastava, Prashant K.
    Behmoaras, Jacques
    Dellaportas, Petros
    Bottolo, Leonardo
    Petretto, Enrico
    GENETICS, 2017, 205 (04) : 1443 - 1458
  • [9] Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
    Olova, Nelly
    Krueger, Felix
    Andrews, Simon
    Oxley, David
    Berrens, Rebecca, V
    Branco, Miguel R.
    Reik, Wolf
    GENOME BIOLOGY, 2018, 19
  • [10] Whole-Genome DNA Methylation Profiling Identifies Epigenetic Signatures of Uterine Carcinosarcoma
    Li, Jing
    Xing, Xiaoyun
    Li, Daofeng
    Zhang, Bo
    Mutch, David G.
    Hagemann, Ian S.
    Wang, Ting
    NEOPLASIA, 2017, 19 (02): : 100 - 111