Searching the Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
We created a mouse model wherein conditional expression of an Mll-AF4 fusion oncogene induces B precursor acute lymphoblastic (ALL) or acute myeloid leukemias (AML). Gene expression profile analysis of the ALL cells demonstrated significant overlap with human MLL-rearranged ALL. ChIP-chip analysis demonstrated histone H3 lysine 79 (H3K79) methylation profiles that correlated with Mll-AF4-associated gene expression profiles in murine ALLs and in human MLL-rearranged leukemias. Human MLL-rearranged ALLs could be distinguished from other ALLs by their H3K79 profiles, and suppression of the H3K79 methyltransferase DOT1L inhibited expression of critical MLL-AF4 target genes. We thus demonstrate that ectopic H3K79 methylation is a distinguishing feature of murine and human MLL-AF4 ALLs and is important for maintenance of MLL-AF4-driven gene expression.
Pubmed ID: 18977325
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.
Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.
View all literature mentionsSoftware 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
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
