Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

CpG Island Hypermethylation Mediated by DNMT3A Is a Consequence of AML Progression.

Cell | 2017

DNMT3A mutations occur in ∼25% of acute myeloid leukemia (AML) patients. The most common mutation, DNMT3AR882H, has dominant negative activity that reduces DNA methylation activity by ∼80% in vitro. To understand the contribution of DNMT3A-dependent methylation to leukemogenesis, we performed whole-genome bisulfite sequencing of primary leukemic and non-leukemic cells in patients with or without DNMT3AR882 mutations. Non-leukemic hematopoietic cells with DNMT3AR882H displayed focal methylation loss, suggesting that hypomethylation antedates AML. Although virtually all AMLs with wild-type DNMT3A displayed CpG island hypermethylation, this change was not associated with gene silencing and was essentially absent in AMLs with DNMT3AR882 mutations. Primary hematopoietic stem cells expanded with cytokines were hypermethylated in a DNMT3A-dependent manner, suggesting that hypermethylation may be a response to, rather than a cause of, cellular proliferation. Our findings suggest that hypomethylation is an initiating phenotype in AMLs with DNMT3AR882, while DNMT3A-dependent CpG island hypermethylation is a consequence of AML progression.

Pubmed ID: 28215704 RIS Download

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL128447
  • Agency: NCI NIH HHS, United States
    Id: P30 CA091842
  • Agency: NCI NIH HHS, United States
    Id: P01 CA101937
  • Agency: NCI NIH HHS, United States
    Id: R35 CA197561
  • Agency: NCI NIH HHS, United States
    Id: K08 CA190815
  • Agency: NCI NIH HHS, United States
    Id: K08 CA166229

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Roadmap Epigenomics Project (tool)

RRID:SCR_008924

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 11, 2022. Project for human epigenomic data from experimental pipelines built around next-generation sequencing technologies to map DNA methylation, histone modifications, chromatin accessibility and small RNA transcripts in stem cells and primary ex vivo tissues selected to represent normal counterparts of tissues and organ systems frequently involved in human disease. Consortium expects to deliver collection of normal epigenomes that will provide framework or reference for comparison and integration within broad array of future studies. Consortium is also committed to development, standardization and dissemination of protocols, reagents and analytical tools to enable research community to utilize, integrate and expand upon this body of data.

View all literature mentions

DESeq2 (tool)

RRID:SCR_015687

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

View all literature mentions

StringTie (tool)

RRID:SCR_016323

Software application for assembling of RNA-Seq alignments into potential transcripts. It enables improved reconstruction of a transcriptome from RNA-seq reads. This transcript assembling and quantification program is implemented in C++ .

View all literature mentions

Anti-Histone H3 (tri methyl K4) antibody - ChIP Grade (antibody)

RRID:AB_306649

This polyclonal targets Histone H3 (tri methyl K4)

View all literature mentions

CD11b/Mac-1 (antibody)

RRID:AB_1645555

This monoclonal targets CD11b (Mac-1)

View all literature mentions

CD38 (antibody)

RRID:AB_398599

This monoclonal targets CD38

View all literature mentions

CD15 (antibody)

RRID:AB_10563206

This monoclonal targets CD15

View all literature mentions

CD14 (antibody)

RRID:AB_10612009

This monoclonal targets CD14

View all literature mentions

Anti-Human CD34 (Class I; Class II; Class III; Pool) Monoclonal Antibody, Phycoerythrin Conjugated, Clone QBEnd10; Immu133; Immu409 (antibody)

RRID:AB_131210

This monoclonal targets Human CD34 (Class I; Class II; Class III; Pool) Phycoerythrin Clone QBEnd10; Immu133; Immu409

View all literature mentions

DEXSeq (software resource)

RRID:SCR_012823

Software package focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.

View all literature mentions

Bioconductor (software resource)

RRID:SCR_006442

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

View all literature mentions

featureCounts (software resource)

RRID:SCR_012919

A read summarization program, which counts mapped reads for the genomic features such as genes and exons.

View all literature mentions

TopHat (software resource)

RRID:SCR_013035

Software tool for fast and high throughput alignment of shotgun cDNA sequencing reads generated by transcriptomics technologies. Fast splice junction mapper for RNA-Seq reads. Aligns RNA-Seq reads to mammalian-sized genomes using ultra high-throughput short read aligner Bowtie, and then analyzes mapping results to identify splice junctions between exons.TopHat2 is accurate alignment of transcriptomes in presence of insertions, deletions and gene fusions.

View all literature mentions

HOMER (software resource)

RRID:SCR_010881

Software tools for Motif Discovery and next-gen sequencing analysis. Used for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of functional genomics sequencing data sets. Collection of command line programs for unix style operating systems written in Perl and C++.

View all literature mentions

BWA (software resource)

RRID:SCR_010910

Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp.

View all literature mentions

MethPipe (software resource)

RRID:SCR_005168

A computational pipeline for analyzing bisulfite sequencing data.

View all literature mentions

Bis-SNP (software resource)

RRID:SCR_005439

A software package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping and accurate DNA methylation calling in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq, RRBS and any other bisulfite treated sequencing) with Illumina directional library protocol. It contains the following key features: * Call and summarize methylation of any cytosine context provided (CpG, CHH, CHG, GCH et.al.); * Work for single end and paired-end data; * Accurtae variant detection. Enable base quality recalibration and indel calling in bisulfite sequencing; * Based on Java map-reduce framework, allow multi-thread computing. Cross-platform; * Allow multiple output format, detailed VCF files, CpG haplotype reads file for mono-allelic methylation analysis, simplified bedGraph, wig and bed format for visualization in UCSC genome broswer and IGV browser. BisSNP uses bayesian inference with locus specific methylation probabilities and bisulfite conversion rate of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other bisulfite treated sequencing) to determine genotypes and methylation levels simultaneously.

View all literature mentions

BSMAP (software resource)

RRID:SCR_005671

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 18,2023. Short reads mapping software for bisulfite sequencing reads.

View all literature mentions

AFT024 (cell line)

RRID:CVCL_5431

Cell line AFT024 is a Transformed cell line with a species of origin Mus musculus (Mouse)

View all literature mentions