A predictable conserved DNA base composition signature defines human core DNA replication origins
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE128477 | GEO | 2020/09/28
REPOSITORIES: GEO
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Project description:DNA replication initiates from multiple genomic locations called replication origins. In metazoa, DNA sequence elements involved in origin specification remain elusive. Here, we examine pluripotent, primary, differentiating, and immortalized human cells, and demonstrate that a class of origins, termed core origins, is shared by different cell types and host ~80% of all DNA replication initiation events in any cell population. We detect a shared G-rich DNA sequence signature that coincides with most core origins in both human and mouse genomes. Transcription and G-rich elements can independently associate with replication origin activity. Computational algorithms show that core origins can be predicted, based solely on DNA sequence patterns but not on consensus motifs. Our results demonstrate that, despite an attributed stochasticity, core origins are chosen from a limited pool of genomic regions. Immortalization through oncogenic gene expression, but not normal cellular differentiation, results in increased stochastic firing from heterochromatin and decreased origin density at TAD borders.
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Project description:A predictable conserved DNA base composition signature defines human core DNA replication origins
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Project description:The origin recognition complex (ORC) specifies replication origin location. The Saccharomyces cerevisiae ORC recognizes the ARS (autonomously replicating sequence) consensus sequence (ACS), but only a subset of potential genomic sites are bound, suggesting other chromosomal features influence ORC binding. Using high-throughput sequencing to map ORC binding and nucleosome positioning, we show that yeast origins are characterized by an asymmetric pattern of positioned nucleosomes flanking the ACS. The origin sequences are sufficient to maintain a nucleosome-free origin; however, ORC is required for the precise positioning of nucleosomes flanking the origin. These findings identify local nucleosomes as an important determinant for origin selection and function.
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Project description:At every cell cycle, faithful inheritance of metazoan genomes requires the concerted activation of thousands of DNA replication origins. However, which genetic and chromatin features define metazoan replication start sites remains largely unknown. Here, we delineate the origin repertoire of the Drosophila genome at high resolution. We address the role of origin-proximal G-quadruplexes and show their ability to transiently stall replication forks in vivo. We dissect the chromatin configuration of replication origins and identify a rich spatial organization of chromatin features at initiation sites. DNA shape and chromatin configurations, not strict sequence specificity, mark and predict replication origins in higher eukaryotes. We further examine the link between transcription and origin firing and reveal that modulation of origin activity across cell types is intimately linked to cell-type-specific transcriptional programs. Our study unravels conserved origin features and provides unique insights into the relationship between DNA topology, chromatin, transcription and replication initiation across metazoa. Our dataset consists of SNS-Seq profiles in Drosophila S2 and Bg3 cells. Small nascent leading strands (SNS) have been purified with an enhanced sensitivity SNS purification protocol. For standard SNS-Seq experiments (from pooled gradient fractions, denoted as "pool"), SNS were purified from two biological replicates. For single-fraction SNS-Seq experiments, two libraries were prepared for each fraction. The genomic coordinates of S2 and Bg3 replication origins are also provided.
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Project description:Because of the lack of information, regulation of DNA replication initiation in mammals is still poorly understood. In order to identify general rules, we have mapped replication origins along 1% of the human genome in HeLa cells. We found large gene-poor regions lacking origin and G+C rich regions containing clusters of closely spaced origins. Half of the 283 origins mapped are within or near CpG islands. The connection with gene expression is further reinforced by the observation that most origins overlap with DNAseI hypersensitive sites found at transcriptional regulatory elements. We show, however, that this association is independent of chromatin structure and transcriptional activity. Replication timing analyses coupled to our origin mapping demonstrate that origin dense regions and isolated origins are replicated at every moment in S phase. All together, our data suggest that a relatively strict origin-timing programme regulates DNA replication of the human genome. Keywords: Nascent strands, ENCODE project, HeLAS3 cells, SNS-Chip Four independent preparations of Short Nascent Strands (SNS) were performed. In order to have enough material for microarray hybridisation, we coupled the stringent preparation of SNS with the TLAD method, a technique of linear amplification that can generate several µg of amplified material from 10-20 ng of DNA (Liu et al., 2003).Two were amplified by TLAD (experiments A and B) and hybridized on DNA microarrays, and the other two (experiments C and D) were used for the validation by real-time quantitative PCR (qPCR) of results obtained on micro-arrays. We performed also a gDNA/gDNA hybridization where gDNA are also amplified by TLAD to order to do a control.
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Project description:Here, we precisely determined MCM7 binding sites inHeLa cells by ChIP-Seq, classified them into firing and dormant replication origins using SNS data deposited, and analyzed their association with various chromatin signatures.
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Project description:Understanding of protein-DNA interactions is crucial for prediction of DNA-binding specificity of transcription factors and design of novel DNA-binding proteins. In this paper we develop a novel approach to analysis of protein-DNA interactions. We bring together two sources of information: (i) structures of protein-DNA complexes (PDB/NDB database) and (ii) experimentally obtained sites recognized by DNA-binding proteins. Sites are used to compute conservation (information content) of each base pair, which indicates relative importance of the base pair in specific recognition. The main result of this study is that conservation of base pairs in a site exhibits significant correlation with the number of contacts the base pairs have with the protein. In particular, base pairs that have more contacts with the protein are more conserved in evolution. As natural as it is, this result has never been reported before. We also observe that for most of the studied proteins, hydrogen bonds and hydrophobic interactions alone cannot explain the pattern of evolutionary conservation in the binding site suggesting cumulative contribution of different types of interactions to specific recognition. Implications for prediction of the DNA-binding specificity are discussed.
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Project description:Because of the lack of information, regulation of DNA replication initiation in mammals is still poorly understood. In order to identify general rules, we have mapped replication origins along 1% of the human genome in HeLa cells. We found large gene-poor regions lacking origin and G+C rich regions containing clusters of closely spaced origins. Half of the 283 origins mapped are within or near CpG islands. The connection with gene expression is further reinforced by the observation that most origins overlap with DNAseI hypersensitive sites found at transcriptional regulatory elements. We show, however, that this association is independent of chromatin structure and transcriptional activity. Replication timing analyses coupled to our origin mapping demonstrate that origin dense regions and isolated origins are replicated at every moment in S phase. All together, our data suggest that a relatively strict origin-timing programme regulates DNA replication of the human genome. Keywords: Nascent strands, ENCODE project, HeLAS3 cells, SNS-Chip
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