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Molecular rules governing de novo methylation in cancer

ABSTRACT: De novo methylation of CpG islands is seen in many tumors, but the general rules governing this process are not known. By analyzing DNA from tumors, as well as normal tissues, and by utilizing a wide range of published data, we have been able to identify a well-defined set of tumor targets, each of which has its own “coefficient” of methylation that is largely determined by its inherent relative ability to recruit the polycomb complex. This pattern is initially formed by a slow process of de novo methylation that occurs during aging and then undergoes expansion early in tumorigenesis, where it may play a role as an inhibitor of development-associated gene activation. We also demonstrate that DNA methylation patterns can be used to diagnose the primary tissue source of tumor metastases.

ORGANISM(S): Homo sapiens

PROVIDER: GSE38142 | GEO | 2014/03/26

SECONDARY ACCESSION(S): PRJNA167279

REPOSITORIES: GEO

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Molecular rules governing de novo methylation in cancer

Project description:De novo methylation of CpG islands is seen in many tumors, but the general rules governing this process are not known. By analyzing DNA from tumors, as well as normal tissues, and by utilizing a wide range of published data, we have been able to identify a well-defined set of tumor targets, each of which has its own M-bM-^@M-^\coefficientM-bM-^@M-^] of methylation that is largely determined by its inherent relative ability to recruit the polycomb complex. This pattern is initially formed by a slow process of de novo methylation that occurs during aging and then undergoes expansion early in tumorigenesis, where it may play a role as an inhibitor of development-associated gene activation. We also demonstrate that DNA methylation patterns can be used to diagnose the primary tissue source of tumor metastases. CpG-methylated genomic DNA was enriched using a methyl-DNA immunoprecipitation (mDIP) assay. DNA from the input and bound (enriched) DNA for each sample were labeled and hybridized on the array to define the methylation state of each region.

2014-03-26 | E-GEOD-38142 | biostudies-arrayexpress

Homo sapiens

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Rules governing translation selectivity under limiting ribosome availability

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Project description:Ribosomopathies are cell-type-specific pathologies related to a ribosomal protein (RP) gene insult. The 5q- syndrome is a somatic ribosomopathy linked to RPS14 gene haploinsufficiency and characterized by a prominent erythroid hypoplasia. Using quantitative proteomic, we show that GATA1 protein expression is low in shRPS14 cells in which ribosome quantities are diminished. Here, we investigated the cause of low GATA1 protein expression in limiting ribosome availability. A global analysis of translation in RPs deficiencies highlights the rules that drive translation selectivity. We demonstrate that in addition of the transcript length, a high codon adaptation index (CAI) and a highly structured 3’UTR are the key characteristics for a selective translation. An integrated analysis of transcriptome and proteome confirms that the post-transcriptional regulations of gene expression are directly linked to the criteria governing the translational selectivity. In particular, these criteria explain GATA1 translation default with unprecedented precision. More generally, the proteins that accumulate along normal erythropoiesis share the determinants of translation selectivity revealed by the conditions of limiting ribosome availability. We performed translatome expression profiling of cells infected with shRPS14 or shSCR

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Default DNA Methylation is Preceded by Broad, Low-Level Transcription in Fetal Male Germ Cells and Is Inversely Patterned by Dynamic H3K4 Methylation (ChIP-chip and MIRA-chip)

Project description:To understand what dictates the emerging patterns of de novo DNA methylation, we mapped DNA methylation, chromatin, and transcription changes in purified fetal mouse germ cells using MIRA-chip, ChIP-chip, and strand-specific RNA-seq, respectively. De novo methylation occurred without any apparent trigger from preexisting repressing chromatin marks but was preceded by broad, low-level transcription along the entire genome in prospermatogonia. Only distinct short sequences remained unmethylated, precisely aligned with constitutive or emerging peaks of H3K4me2. Establishment of methylation at differentially methylated regions (DMRs) of imprinted genes, CpG islands, and IAPs followed these same default rules. Transcription run-through occurred at paternal DMRs with no- or diminishing H3K4me2 peaks. Maternal DMRs remained unmethylated among highly methylated DNA at precisely aligned H3K4me2 peaks with transcription initiating at least in one strand. Our results suggest that the pattern of de novo DNA methylation in prospermatogonia is dictated by opposing actions of broad, low-level transcription and dynamic patterns of active chromatin. ChIP-chip and MIRA-chip were performed to map histone modifications and DNA methylation at different devlopmental time points in germ cells and somatic cells along known imprinted domains and control regions, using custom NimbleGen tiling arrays.

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Default DNA Methylation is Preceded by Broad, Low-Level Transcription in Fetal Male Germ Cells and Is Inversely Patterned by Dynamic H3K4 Methylation (RNA-Seq)

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