Project description:The DNA methylome of 45 primary neuroblastoma tumors is profiled by enrichment with a methyl-CpG-binding domain (MBD) and massively parallel sequencing
Project description:The DNA methylome of 42 primary neuroblastoma tumors is profiled by enrichment with a methyl-CpG-binding domain (MBD) and massively parallel sequencing
Project description:The DNA methylome of 15 primary stage 4S neuroblastoma tumors is profiled by enrichment with a methyl-CpG-binding domain (MBD) and massively parallel sequencing
Project description:The DNA methylome of 45 primary neuroblastoma tumors is profiled by enrichment with a methyl-CpG-binding domain (MBD) and massively parallel sequencing DNA of 45 primary tumors is sheared (fragments of ± 200 bp), followed by MBD-based (MethylCap kit of Diagenode) enrichement, library preparation and multiplexing. Both input DNA and captured DNA were sequenced paired-end on Illumina Hiseq2000
Project description:The DNA methylome of 15 primary stage 4S neuroblastoma tumors is profiled by enrichment with a methyl-CpG-binding domain (MBD) and massively parallel sequencing DNA of 15 primary stage 4S tumors is sheared (fragments of ± 200 bp), followed by MBD-based (MethylCap kit of Diagenode) enrichement, library preparation and multiplexing. Both input DNA and captured DNA were sequenced paired-end on Illumina Hiseq2000
Project description:Comprehensive genome-wide DNA methylation studies in neuroblastoma (NB), a childhood tumor that originates from precursor cells of the sympathetic nervous system, are scarce. Recently, we profiled the DNA methylome of 102 well-annotated primary NB tumors by methyl-CpG-binding domain (MBD) sequencing, in order to identify prognostic biomarker candidates. In this data descriptor, we give details on how this data set was generated and which bioinformatics analyses were applied during data processing. Through a series of technical validations, we illustrate that the data are of high quality and that the sequenced fragments represent methylated genomic regions. Furthermore, genes previously described to be methylated in NB are confirmed. As such, these MBD sequencing data are a valuable resource to further study the association of NB risk factors with the NB methylome, and offer the opportunity to integrate methylome data with other -omic data sets on the same tumor samples such as gene copy number and gene expression, also publically available.
Project description:Accurate assessment of neuroblastoma outcome prediction remains challenging. Therefore, this study aims at establishing novel prognostic tumor DNA methylation biomarkers. In total, 396 low- and high-risk primary tumors were analyzed, of which 87 were profiled using methyl-CpG-binding domain (MBD) sequencing for differential methylation analysis between prognostic patient groups. Subsequently, methylation-specific PCR (MSP) assays were developed for 78 top-ranking differentially methylated regions and tested on two independent cohorts of 132 and 177 samples, respectively. Further, a new statistical framework was used to identify a robust set of MSP assays of which the methylation score (i.e. the percentage of methylated assays) allows accurate outcome prediction. Survival analyses were performed on the individual target level, as well as on the combined multimarker signature. As a result of the differential DNA methylation assessment by MBD sequencing, 58 of the 78 MSP assays were designed in regions previously unexplored in neuroblastoma, and 36 are located in non-promoter or non-coding regions. In total, 5 individual MSP assays (located in CCDC177, NXPH1, lnc-MRPL3-2, lnc-TREX1-1 and one on a region from chromosome 8 with no further annotation) predict event-free survival and 4 additional assays (located in SPRED3, TNFAIP2, NPM2 and CYYR1) also predict overall survival. Furthermore, a robust 58-marker methylation signature predicting overall and event-free survival was established. In conclusion, this study encompasses the largest DNA methylation biomarker study in neuroblastoma so far. We identified and independently validated several novel prognostic biomarkers, as well as a prognostic 58-marker methylation signature.
Project description:BackgroundPolyploidization promotes species formation and is widespread in angiosperms. Genome changes dramatically bring opportunities and challenges to plants after polyploidy. Methyl-CpG-Binding Domain (MBD) proteins can recognize and bind to methylation sites and they play an important role in the physiological process related to methylation in animals and plants. However, research on the influence of the allopolyploidization process on the MBD gene family is still lacking, so it is necessary to conduct a comprehensive analysis.ResultsIn this study, twenty-two, ten and eleven MBD genes were identified in the genome of allotetraploid B. napus and its diploid ancestors, B. rapa and B. oleracea, respectively. Based on the clades of the MBD gene in Arabidopsis, rice and maize, we divided the new phylogenetic tree into 8 clades. Among them, the true MBD genes in Brassica existed in only 5 clades. Clade IV and Clade VI were unique in term of MBD genes in dicotyledons. Ka/Ks calculations showed that MBD genes underwent purifying selection in Brassica and may retain genes through sequence or functional differentiation early in evolution. In the process of allopolyploidization, the number of MBD gene introns increased, and the protein motifs changed. The MBD proteins had their own special motifs in each clade, and the MBD domains were only conserved in their clades. At the same time, the MBD genes were expressed in flower, leaf, silique, and stem tissues, and the expression levels of the different genes were significantly different, while the tissue specificity was not obvious. The allopolyploidization process may increase the number of cis-acting elements and activate the transposable elements. During allopolyploidization, the expression pattern of the MBD gene changes, which may be regulated by cis-acting elements and transposable elements. The number imbalance of cis-acting elements and transposable elements in An and Cn subgenomes may also lead to biased An subgenome expression of the MBD gene in B. napus.ConclusionsIn this study, by evaluating the number, structure, phylogeny and expression of the MBD gene in B. napus and its diploid ancestors, we increased the understanding of MBD genes in allopolyploids and provided a reference for future analysis of allopolyploidization.