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| Status |
Public on May 23, 2018 |
| Title |
MLL-fusion-driven leukemia requires SETD2 to safeguard genomic integrity |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
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| Summary |
MLL-fusions represent a large group of leukemia drivers, whose diversity originates from the vast molecular heterogeneity of C-terminal fusion partners of MLL. While studies of selected MLL-fusions have revealed critical molecular pathways, unifying mechanisms across all MLL-fusions remain poorly understood. We present the first comprehensive survey of protein-protein interactions of seven distantly related MLL-fusion proteins. Functional investigation of 128 conserved MLL-fusion-interactors identified a specific role for the lysine methyltransferase SETD2 in MLL-leukemia. SETD2 loss caused growth arrest and differentiation of AML cells, and led to increased DNA damage. In addition to its role in H3K36 tri-methylation, SETD2 was required to maintain high H3K79 di-methylation and MLL-AF9 binding to critical target genes, such as Hoxa9. SETD2 loss synergized with pharmacologic inhibition of the H3K79 methyltransferase DOT1L to induce DNA damage, growth arrest, differentiation and apoptosis. These results uncover a dependency for SETD2 during MLL-leukemogenesis, revealing a novel actionable vulnerability in this disease.
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| Overall design |
ChIP-Seq with spike in Drosophila Melanogaster chromatin of 3 different histone modifications: H3K4me3, H3K36me3, H3K79me2 after inducible knockdown of Setd2 or Renilla (negative control); RNA-Seq performed after inducible knockdown of Setd2 or Renilla (negative control)
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| Contributor(s) |
Skucha A, Ebner J, Schmöllerl J, Roth M, Eder T, César-Razquin A, Stukalov A, Vittori S, Muhar M, Lu B, Aichinger M, Jude J, Müller AC, Győrffy B, Vakoc CR, Valent P, Bennett KL, Zuber J, Superti-Furga G, Grebien F |
| Citation(s) |
29777171 |
| Submission date |
Feb 13, 2018 |
| Last update date |
Mar 19, 2019 |
| Contact name |
Thomas Eder |
| E-mail(s) |
Thomas.Eder@vetmeduni.ac.at
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| Organization name |
University of Veterinary Medicine, Vienna
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| Department |
Institute for Medical Biochemistry
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| Lab |
Grebien Lab
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| Street address |
Veterinaerplatz 1
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| City |
Vienna |
| ZIP/Postal code |
A-1210 |
| Country |
Austria |
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| Platforms (2) |
| GPL21103 |
Illumina HiSeq 4000 (Mus musculus) |
| GPL21493 |
Illumina HiSeq 3000 (Mus musculus) |
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| Samples (27)
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| Relations |
| BioProject |
PRJNA433925 |
| SRA |
SRP132773 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE110521_DESeq2_output_REN_SETD2_1638.txt.gz |
859.6 Kb |
(ftp)(http) |
TXT |
| GSE110521_DESeq2_output_REN_SETD2_6880.txt.gz |
858.0 Kb |
(ftp)(http) |
TXT |
| GSE110521_RAW.tar |
6.7 Gb |
(http)(custom) |
TAR (of BW) |
| GSE110521_RNA-seq_counts.txt.gz |
278.1 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
| Processed data are available on Series record |
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