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Series GSE67417 Query DataSets for GSE67417
Status Public on Jul 01, 2015
Title The MEF2B Regulatory Network - Expression microarray data
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Myocyte enhancer factor 2B (MEF2B) is a transcription factor with somatic mutation hotspots at K4, Y69 and D83 in diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). The recurrence of these mutations indicates that they may drive lymphoma development. However, inferring the mechanisms by which they may drive lymphoma development was complicated by our limited understanding of MEF2B’s normal functions. To expand our understanding of the cellular activities of wildtype (WT) and mutant MEF2B, I developed and addressed two hypotheses: (1) identifying genes regulated by WT MEF2B will allow identification of cellular phenotypes affected by MEF2B activity and (2) contrasting the DNA binding sites, effects on gene expression and effects on cellular phenotypes of mutant and WT MEF2B will help refine hypotheses about how MEF2B mutations may contribute to lymphoma development. To address these hypotheses, I first identified genome-wide WT MEF2B binding sites and transcriptome-wide gene expression changes mediated by WT MEF2B. Using these data I identified and validated novel MEF2B target genes. I found that target genes of MEF2B included the cancer genes MYC, TGFB1, CARD11, NDRG1, RHOB, BCL2 and JUN. Identification of target genes led to findings that WT MEF2B promotes expression of mesenchymal markers, promotes HEK293A cell migration, and inhibits DLBCL cell chemotaxis. I then investigated how K4E, Y69H and D83V mutations change MEF2B’s activity. I found that K4E, Y69H and D83V mutations decreased MEF2B DNA binding and decreased MEF2B’s capacity to promote gene expression in both HEK293A and DLBCL cells. These mutations also reduced MEF2B’s capacity to alter HEK293A and DLBCL cell movement. From these data, I hypothesize that MEF2B mutations may promote DLBCL and FL development by reducing expression of MEF2B target genes that would otherwise function to help confine germinal centre B-cells to germinal centres. Overall, my research demonstrates how observations from genome-scale data can be used to identify cellular effects of candidate driver mutations. Moreover, my work provides a unique resource for exploring the role of MEF2B in cell biology: I map for the first time the MEF2B ‘regulome’, demonstrating connections between a relatively understudied transcription factor and genes significant to oncogenesis.
 
Overall design We analysed Affymetrix Human Exon 1.0 ST array data from HEK293A cells stably transfected with WT or mutant (K4E, Y69H or D83V) MEF2B-V5 and untransfected control cells. Data was collected in triplicate from all cell types under DMSO treatment, as well as from triplicates of WT and untransfected cells that were ionomycin treated (1.5uM for 6hr).
 
Contributor(s) Pon J, Marra MA
Citation(s) 26245647
Submission date Mar 30, 2015
Last update date Feb 18, 2019
Contact name Patrick Plettner
E-mail(s) pplettner@bcgsc.ca
Organization name BC Cancer Agency GSC
Street address 100-570 West 7th Avenue
City Vancouver
State/province BC
ZIP/Postal code V5Z 4S6
Country Canada
 
Platforms (1)
GPL5175 [HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [transcript (gene) version]
Samples (21)
GSM1646518 WT_DMSO 1
GSM1646519 WT_DMSO 2
GSM1646520 WT_DMSO 3
This SubSeries is part of SuperSeries:
GSE67458 The MEF2B Regulatory Network
Relations
BioProject PRJNA279862

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE67417_RAW.tar 535.5 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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