Genome-wide identification and characterisation of human DNA replication origins by initiation site sequencing (ini-seq)

被引:75
|
作者
Langley, Alexander R. [1 ]
Graf, Stefan [2 ,3 ]
Smith, James C. [1 ]
Krude, Torsten [4 ]
机构
[1] Francis Crick Inst, Mill Hill Lab, London NW7 1AA, England
[2] Univ Cambridge, Dept Med, Cambridge CB2 0QQ, England
[3] Univ Cambridge, Dept Haematol, Cambridge CB2 0PT, England
[4] Univ Cambridge, Dept Zool, Downing St, Cambridge CB2 3EJ, England
基金
英国惠康基金; 英国医学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
CELL-FREE SYSTEM; C-MYC GENE; START SITES; HELA-CELLS; REVEALS; ORGANIZATION; COMPLEX; MOTIFS; VISUALIZATION; TRANSCRIPTION;
D O I
10.1093/nar/gkw760
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Next-generation sequencing has enabled the genome-wide identification of human DNA replication origins. However, different approaches to mapping replication origins, namely (i) sequencing isolated small nascent DNA strands (SNS-seq); (ii) sequencing replication bubbles (bubble-seq) and (iii) sequencing Okazaki fragments (OK-seq), show only limited concordance. To address this controversy, we describe here an independent high-resolution origin mapping technique that we call initiation site sequencing (ini-seq). In this approach, newly replicated DNA is directly labelled with digoxigenind-UTP near the sites of its initiation in a cell-free system. The labelled DNA is then immunoprecipitated and genomic locations are determined by DNA sequencing. Using this technique we identify > 25,000 discrete origin sites at sub-kilobase resolution on the human genome, with high concordance between biological replicates. Most activated origins identified by ini-seq are found at transcriptional start sites and contain G-quadruplex (G4) motifs. They tend to cluster in early-replicating domains, providing a correlation between early replication timing and local density of activated origins. Origins identified by ini-seq show highest concordance with sites identified by SNS-seq, followed by OK-seq and bubble-seq. Furthermore, germline origins identified by positive nucleotide distribution skew jumps overlap with origins identified by ini-seq and OK-seq more frequently and more specifically than do sites identified by either SNS-seq or bubble-seq.
引用
收藏
页码:10230 / 10247
页数:18
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