Whole-genome bisulfite sequencing identifies HDAC3-mediated DNA methylation in multiple myeloma

被引：1
|
作者：
Ogiya, Daisuke [1 ]
Ohguchi, Hiroto [2 ]
Liu, Jiye [1 ]
Kurata, Keiji [1 ]
Adamia, Sophia [1 ]
Hideshima, Teru [1 ]
Anderson, Kenneth C. [1 ]
机构：
[1] Dana Farber Canc Inst, Boston, MA 02115 USA
[2] Kumamoto Univ, Kumamoto, Japan
来源：
CLINICAL LYMPHOMA MYELOMA & LEUKEMIA | 2019年 / 19卷 / 10期
关键词：
DNA methylation; DNMT1; HDAC3;
D O I：
10.1016/j.clml.2019.09.114
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
FP-029
引用
收藏
页码：E72 / E72
页数：1
相关论文
共 50 条
  • [1] BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
    Luli S. Zou
    Michael R. Erdos
    D. Leland Taylor
    Peter S. Chines
    Arushi Varshney
    Stephen C. J. Parker
    Francis S. Collins
    John P. Didion
    [J]. BMC Genomics, 19
  • [2] BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
    Zou, Luli S.
    Erdos, Michael R.
    Taylor, D. Leland
    Chines, Peter S.
    Varshney, Arushi
    Parker, Stephen C. J.
    Collins, Francis S.
    Didion, John P.
    [J]. BMC GENOMICS, 2018, 19
  • [3] Coverage recommendations for methylation analysis by whole-genome bisulfite sequencing
    Ziller, Michael J.
    Hansen, Kasper D.
    Meissner, Alexander
    Aryee, Martin J.
    [J]. NATURE METHODS, 2015, 12 (03) : 230 - +
  • [4] Coverage recommendations for methylation analysis by whole-genome bisulfite sequencing
    Ziller M.J.
    Hansen K.D.
    Meissner A.
    Aryee M.J.
    [J]. Nature Methods, 2015, 12 (3) : 230 - 232
  • [5] 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
    [J]. Genome Biology, 19
  • [6] 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
    [J]. GENETICS, 2017, 205 (04) : 1443 - 1458
  • [7] 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
    [J]. GENOME BIOLOGY, 2018, 19
  • [8] Whole-genome bisulfite sequencing identifies stage- and subtype-specific DNA methylation signatures in pancreatic cancer
    Wang, Sarah S.
    Hall, Madison L.
    Lee, Eunjung
    Kim, Soon-Chan
    Ramesh, Neha
    Lee, Sang Hyub
    Jang, Jin-Young
    Bold, Richard J.
    Ku, Ja-Lok
    Hwang, Chang-Il
    [J]. ISCIENCE, 2024, 27 (04)
  • [9] Correction to: 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
    [J]. Genome Biology, 20
  • [10] epiG: statistical inference and profiling of DNA methylation from whole-genome bisulfite sequencing data
    Vincent, Martin
    Mundbjerg, Kamilla
    Pedersen, Jakob Skou
    Liang, Gangning
    Jones, Peter A.
    Orntoft, Torben Falck
    Sorensen, Karina Dalsgaard
    Wiuf, Carsten
    [J]. GENOME BIOLOGY, 2017, 18
12345