Dataset Information

Exome-sequencing of human B cell lymphoma cell lines

ABSTRACT: 26 cell lines derived from human Diffuse Large B Cell lymphomas (DLBCL) or Burkit Lymphomas (BL) were subjected to whole exome sequencing. Exome capture was carried out using the SeqCap EZ Exome Library 2.0 kit (Roche/Nimblegen) and 100 bp single-read sequencing was performed on a HiSeq2500 (Illumina). 82% of the coding region was covered at least 30x.

PROVIDER: EGAS00001001463 | EGA |

REPOSITORIES: EGA

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Publications

A novel approach to detect resistance mechanisms reveals FGR as a factor mediating HDAC inhibitor SAHA resistance in B-cell lymphoma.

Joosten Maria M Ginzel Sebastian S Blex Christian C Schmidt Dmitri D Gombert Michael M Chen Cai C Linka René Martin RM Gräbner Olivia O Hain Anika A Hirsch Burkhard B Sommerfeld Anke A Seegebarth Anke A Gruber Uschi U Maneck Corinna C Zhang Langhui L Stenin Katharina K Dieks Henrik H Sefkow Michael M Münk Carsten C Baldus Claudia D CD Thiele Ralf R Borkhardt Arndt A Hummel Michael M Köster Hubert H Fischer Ute U Dreger Mathias M Seitz Volkhard V

Molecular oncology 20160609 8

Histone deacetylase (HDAC) inhibitors such as suberoylanilide hydroxamic acid (SAHA) are not commonly used in clinical practice for treatment of B-cell lymphomas, although a subset of patients with refractory or relapsed B-cell lymphoma achieved partial or complete remissions. Therefore, the purpose of this study was to identify molecular features that predict the response of B-cell lymphomas to SAHA treatment. We designed an integrative approach combining drug efficacy testing with exome and ca ...[more]

PMID: 27324824

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Project description:The B cell receptor (BCR) signaling, required for the survival and maturation of B cells, is a major deregulated pathway in B cell lymphomas. Several mutations are known to enhance the tonic BCR signal in Burkitt lymphomas (BL) or to mimic an activated receptor in some diffuse large B cell lymphomas (DLBCL). While the proximal events and kinases of the BCR signaling are well studied, less is known about the interactions of downstream effector pathways. In order to reach a less abstract description of this pathway we decided to employ the Modular Response Analysis-based modelling approach STASNet on more directly connected phosphorylation data. Using a Luminex proteomics platform we measured the phosphorylation of fourteen signaling and effector proteins after activating the B cell receptor (BCR) signaling and/or using inhibitors directed against seven intracellular signaling molecules in two independent Burkitt lymphoma cells (BL-2, BL-41). Application of a novel two step STASNet modelling pipeline unveiled novel feedback and crosstalk structures in the BCR-driven signaling network, including a crosstalk from p38 which negatively regulates MEK/ERK-activity in the presence of active BCR. Using Western Blot measurements, we verified and further characterized the p38-MEK/ERK crosstalk and demonstrated that it is a general mechanism in BL cells. Global Tandem Mass Tag (TMT) phosphoproteomic analysis on BL-2 cells found PI3K to be a major mediator of B-cell receptor signaling and manifested the p38-ERK crosstalk directly on ERK phosphosites and indirectly on seven bona fide ERK targets. We also noticed that the BL-2-learned pathway network structure was transferable to perturbation data from closely related BL-41 cells. Moreover, - compared to a literature-derived network - the BL-2-developed predictive pathway proved also to be a better starting point for network development in cells with aberrant BCR signaling in two representative cell lines derived from Diffuse large B cells (HBL-1, OCI-LY3). This indicates that models trained on activated B-cells are highly informative to be transferred to closely related cancer signaling network.

Project description:DNA methylation in CpG context is fundamental to the epigenetic regulation of gene expression in high eukaryotes. Disorganization of methylation status is implicated in many diseases, cellular differentiation, imprinting, and other biological processes. Techniques that enrich for biologically relevant CpG-rich genomic regions are desired since, depending on the size of an oragnism's methylome, the depth of sequencing required to cover all CpGs can be prohibitively expensive. Currently, restriction-enzyme based Reduced Representation Bisulfite Sequencing and its modified protocols are widely used to study methylation differences. Recently, Agilent Technologies and Roche NimbleGen have aimed to both reduce sequencing costs and capture CpGs of known biological relevance by marketing in-solution custom-capture hybridization platforms. These three methods target approximately 10-13% of the human methylome. For each platform - restriction-enzyme based enhanced reduced representation (ERRBS), capture based Agilent SureSelect Methyl-seq (SSMethylseq), and capture based Roche NimbleGen SeqCap Epi CpGiant (CpGiant) - we used human lung fibroblast cell line IMR90 DNA to make libraries according to each protocol and sequenced to equivalent depth. Overall, SSMethylSeq and CpGiant covered >95% of their designed capture regions whereas ERRBS covered 70% of its expected MspI regions. Methylation levels were concordant across the platforms. The concordance of annotations of CpG units for genomic features, displayed roughly the same proportions of genomic features. SSMethylSeq and CpGiant are most similar and cover marginally more annotated regions than ERRBS. However, the number of CpG units shared by all methods was low, ~26% of any platform. We conclude that captured based methods are largely consistent in terms of covered CpG loci although ERRBS provides comparable data at a significantly reduced price. Furthermore, library preparation for ERRBS can be performed with as little as 75ngs of starting material, whereas micrograms are needed for the capture hybridization techniques. Libraries were made from human lung fibroblast cell line IMR90 DNA for each protocol of ERRBS, Agilent SureSelect Methyl-seq, Roche NimbleGen SeqCap Epi CpGiant, and WGBS, then sequenced as paired-end 100bp on an Illumina HiSeq 2500.

Dataset Information

Exome-sequencing of human B cell lymphoma cell lines

Publications

A novel approach to detect resistance mechanisms reveals FGR as a factor mediating HDAC inhibitor SAHA resistance in B-cell lymphoma.

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