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High-throughput functional analysis of lncRNA core promoters elucidates rules governing tissue specificity

ABSTRACT: High-throughput functional analysis of lncRNA core promoters elucidates rules governing tissue specificity

PROVIDER: PRJNA482608 | ENA |

REPOSITORIES: ENA

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High-throughput functional analysis of lncRNA core promoters elucidates rules governing tissue specificity

Project description:Bidirectional transcription initiates at both coding and non-coding genomic elements, including mRNA and long non-coding RNA (lncRNA) promoters and enhancer RNAs (eRNAs). However, each class has different tissue-specific expression profiles with lncRNAs and eRNAs being the most tissue-specific. How these complex differences in expression profiles and tissue-specificities are encoded in a single DNA sequence, however, remains an open question. Here, we address this question using multiple computational and experimental approaches, including massively parallel reporter assays (MPRA). As most transcription factors (TFs) are enriched near the transcription start sites (TSSs) of both promoters and enhancers, we focus our analyses on these core promoter regions. We find that divergent lncRNA and mRNA core promoters have higher capacities to drive transcription than non-divergent lncRNA and mRNA core promoters, respectively. Conversely, lincRNAs and eRNAs are more tissue-specific than divergent genes. This higher tissue-specificity is strongly associated with having less complex TF motif profiles at the core promoter. We confirm these findings using single-nucleotide deletions in MPRA and we identify specific TFs regulating a set of disease-related lncRNAs. Finally, we assess the effects of genetic variation at core promoters and find that 22% of common single nucleotide polymorphisms show significant regulatory effects. Collectively, our findings characterize the important role of core promoter sequences in determining expression levels across both coding and non-coding gene classes and highlight an unexpected role of TF motif architecture in explaining the more restricted expression patterns of lncRNAs and eRNAs.

2019-01-08 | GSE117594 | GEO

High-throughput functional analysis of lncRNA core promoters elucidates rules governing tissue specificity.

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Rules governing translation selectivity under limiting ribosome availability

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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.

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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 “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.

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Rules governing translation selectivity under limiting ribosome availability

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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Transcriptional cofactors display specificity for distinct types of core promoters.

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Transcriptional cofactors display core promoter class-specificity

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