Abstract
DNA combing allows the investigation of DNA replication on genomic single DNA molecules, but the lengths that can be analysed have been restricted to molecules of 200–500 kb. We have improved the DNA combing procedure so that DNA molecules can be analysed up to the length of entire chromosomes in fission yeast and up to 12 Mb fragments in human cells. Combing multi-Mb-scale DNA molecules revealed previously undetected origin clusters in fission yeast and shows that in human cells replication origins fire stochastically forming clusters of fired origins with an average size of 370 kb. We estimate that a single human cell forms around 3200 clusters at mid S-phase and fires approximately 100,000 origins to complete genome duplication. The procedure presented here will be adaptable to other organisms and experimental conditions.
Single molecule studies have grown in importance because they allow investigation of individual molecules whose characteristics may vary greatly from molecule to molecule and from cell to cell. Traditional ensemble approaches analyse the entire population of molecules averaging their characteristics, which does not take this variability into account. DNA combing stretches single DNA molecules uniformly at high density on silane coated glass surfaces1,2. This method is used routinely for studying DNA replication3,4,5, DNA–protein interactions6, in vitro transcription7, genomic rearrangements8,9, and analysis of repetitive sequences10,11, which are difficult to investigate with DNA sequencing techniques. DNA combing does not require modification of DNA, and uses the surface tension of a receding water-air interface to extend and immobilise single DNA molecules on a solid surface. Furthermore, DNA molecules are labelled in their cellular context, an advantage over in vitro replisome reconstitution methodologies12, that have been used to analyse DNA replication on single DNA molecules but outside the cell.
DNA replication initiates at origins of replication located at specific sites along chromosomes and cells utilise a subset of available origins to complete genome duplication13. Population based approaches average the frequency of origin usage and replication fork velocities14,15. DNA combing has been used to investigate the pattern of replication origin firing and replication fork velocities on genomic single DNA molecules4,10,16,17,18. This reveals cell-to-cell differences in origin usage important for understanding how genomes are replicated during S-phase. However such studies have been limited because only relatively short DNA molecules of 200–500 kb can be analysed by DNA combing technique, which restrict the analyses to small segments of chromosomes.
Here we report a modified DNA combing protocol that allows the analysis of DNA replication on single DNA molecules up to 12 Mb in length. We have developed this methodology in the fission yeast Schizosaccharomyces pombe where we can analyse molecules whose length average is 2 Mb with some molecules occasionally reaching 5.6 Mb, allowing the entire length of all three fission yeast chromosomes to be investigated. We have extended our new combing method to human U2OS cells and have analysed single DNA molecules on average 8 Mb in length and occasionally up to 12 Mb. Changing the scale of analysis of replicating single DNA molecules by more than an order of magnitude reveals a more extended structure of origin firing. Replication origins fire stochastically and form clusters of closely spaced origins separated by regions of sparsely firing origins. Our findings suggest that the spatial organisation of fired origins is similar in different eukaryotes.
Results
DNA combing methodology
We used DNA prepared from fission yeast to develop improvements in the DNA combing procedure that can extend the length of molecules that can be analysed. DNA combing requires stretching, aligning and immobilizing protein free DNA molecules on hydrophobic surfaces such as silane or PDMS1,19. To prepare the surface, glass slides were activated in a plasma cleanser to make the glass chemically reactive. The activated slides were then placed in a gas chamber saturated with octenytrichlorosilane vapour, which reacts with the activated glass resulting in a silane-coated glass surface (Fig. 1a). Fission yeast genomic DNA was labelled in vivo with thymidine analogues such as BrdU or EdU in a synchronous cell population (Supplementary Fig. S1a), and prepared in agarose blocks which were melted and digested with β-Agarase releasing protein-free DNA molecules into solution (Fig. 1a). DNA molecules in solution bind to the vinyl group (–CH = CH2) of the silane at a pH range between 5.5 to 6.520. Pulling the slide from the solution exerts a force antiparallel to the movement of the glass slide that uncoils and stretches the DNA molecule along the slide (Fig. 1b). The DNA molecules are immobilized by dehydrating the surface, and can be stained with intercalating dyes such as YOYO-1 for imaging by epifluorescent microscopy (Fig. 1c).
Previous combing protocols break chromosomes into pieces of 200–500 kb in length2,4,21. To reduce DNA breakage we reasoned that since full-length fission yeast chromosomes up to 5.6Mb in length can be resolved in pulse field gel electrophoresis (DNA is also prepared in agarose blocks for PFGE22 as for DNA combing), DNA molecules prepared for combing are likely to be breaking after melting the block and/or during the combing process itself, but not during DNA preparation. The force applied by the receding meniscus of the air-water interface to the single DNA molecule was estimated to be around 160pN23, a force approximately 10 times lower than that is needed to break a covalent bond (~2 nN depending on the nature of the covalent bond)24. This suggested that DNA breaks are likely to occur at an earlier step such as during the pouring of the melted agarose blocks into the combing reservoir. Therefore we removed this processing step by directly melting agarose blocks into the combing reservoirs and then adding β-Agarase. This very much improved the length of molecules that could be combed and imaged to the several Mb range. However, such long single DNA molecules were not abundant and the majority of DNA fragments were still only several hundred kb in length.
To improve the effectiveness of DNA combing method we considered the factors that could influence the mechanical stability of double-stranded DNA (dsDNA) molecules such as the ionic strength and pH of the combing buffer, the temperature, the base composition and the pulling velocities exerted on the DNA molecule25,26,27,28. The force applied to single DNA molecules by the water-air interface overstretches DNA molecules to 1.6 times its contour length23,29. Applying a force that overstretches a single dsDNA molecule to 1.6 times its contour length induces melting of the dsDNA molecule generating single-stranded DNA (ssDNA) molecules25,26. This suggests that the melting of dsDNA might occur during combing. We reasoned that if closely spaced single stranded nicks are present on two complementary strands separated by a short distance, the melting of this portion of the molecule could result in the loss of the DNA molecule which is still in the solution and thus result in “broken” shorter DNA molecules after combing29. We introduced modifications to these factors, aimed at preserving the length of replicating single DNA molecules that can be combed by reducing DNA shearing. First, we constructed a DNA combing machine which generated smooth, low friction movement with limited vibration (Fig. 1b and Supplementary Fig. S6). Second, as already described, we directly melted the agarose blocks in the combing reservoir, which decreased shearing. Third, DNA molecules were combed in a buffer containing 100 mM of NaCl with a pH of 6.027. At this NaCl concentration, Na+ ions effectively screen the negatively charged phosphate groups along the backbone of the dsDNA molecules to reduce electrostatic repulsion and melting of dsDNA, thus reducing the fraction of broken DNA molecules26,29. The density of arrayed DNA molecules is also enhanced at 100 mM NaCl, when compared to DNA combing at pH 6.0 without NaCl19. Fourth, we lowered the temperature after β-Agarase incubation to room temperature before DNA combing to reduce melting of dsDNA, as it has been shown that at 40 °C dsDNA melts to ssDNA at lower stretching forces26. Fifth, we adjusted the combing speed to 900μm/second as it has been shown that the optimal motion rate of the water-air interface is around 900μm/second resulting in uniformly stretched DNA molecules with minimum breakage28. Sixth, we prepared genomic DNA in agarose blocks using a minimal incubation time (see Supplementary Methods) ensuring that almost all cells were intact in the solidified agarose block prior to cell breakage. To estimate the cumulative effect of all these changes we plotted the fraction of DNA molecules of different lengths observed under the microscope (Supplementary Fig. S2a). It can be seen that 48% of the molecules are longer than 1 Mb. Using this modified protocol we could comb DNA molecules from fission yeast on average of 2 Mb in length and occasionally up to whole chromosomes of around 5.6Mbf in length30.
Clusters of fired origins can be characterised on single multi-Mb-long DNA molecules
We used the new DNA combing method to investigate the pattern of replication origin firing on multi-Mb long single DNA molecules in fission yeast. We first synchronised cells for entry into S-phase and pulse labelled newly synthesised DNA with BrdU (Supplementary Fig. S1a,b). Genomic DNA was then combed onto silanized glass surfaces and immunodetected. Newly synthesised DNA incorporating BrdU is shown in green, with whole molecules counterstained with anti-thymidine antibody are shown in red (Fig. 2a–c). To accurately segment BrdU tracks along the DNA molecules two control experiments were performed to determine the number of pixels corresponding to false negative and false positive staining. False negative staining was quantified using combed DNA molecules from a cell population that was labelled with BrdU for an entire cell cycle (Fig. 2a). We found that BrdU staining can exhibit gaps and that 98% of these gaps are no longer than 10 contiguous pixels (but are partially labelled with the anti-single stranded DNA antibody (histogram Fig. 2a)). Therefore to exclude false negatives, we did not take into account gaps in BrdU staining of less than 10 pixels. To quantify false positive staining we combed genomic DNA prepared from an unlabelled cell population and stained with an anti-single stranded DNA antibody and an anti-BrdU antibody (Fig. 2b). We found that occasionally BrdU staining could be detected, however 98% of these false positive staining were not more than 3 contiguous pixels (histogram Fig. 2b). Therefore to exclude false positives, replication tracks were only measured for 4 or more contiguous pixels. These empirically established limits were used to segment replication tracks. Replication origins were mapped in the middle of individual replication tracks corresponding to replicons, and inter-origin distances (IODs) were estimated by the distances between midpoints of two adjacent replication tracks (Fig. 2c). We used FISH to identify the chromosomal regions being analysed (blue staining on Fig. 2c).
Comparing replication patterns on long DNA molecules imaged across consecutive microscopic fields of view requires in silico manipulation. We therefore developed an algorithm that enables representation of long, partially replicated DNA molecules as “barcode” diagrams, where stretches of replicated and un-replicated DNA are shown as coloured segments. These diagrams were built from the measurements of successive replicated and un-replicated DNA segments, together with a reference position on the chromosome determined by FISH. Due to the considerable number of measured segments, we used a machine-independent C routine that takes Excel data files as input to generate the bar code diagrams in Postscript vectorial format (see Supplementary Methods). Such barcode diagrams provide a convenient way to observe many different molecules at the multi-Mb scale aligned to corresponding chromosomal sequences identified using FISH.
One 4 Mb partially replicated single DNA molecule is shown in Supplementary Fig. 2c. This DNA molecule was imaged across 15 consecutive microscopic fields, each encompassing 270 kb of the molecule, and a composite picture was constructed. The synthetic picture of the molecule is shown represented as “barcode” diagrams where green segments represent individual replication tracks and black segments represent un-replicated DNA (Supplementary Fig. S2c below the composite image). Replication origins fire in clusters of closely spaced origins separated by regions poor in fired origins30, which differs from an earlier study which reported that fission yeast fired origins were randomly located along chromosomes with no clusters4. We investigated whether this was due to the shorter molecules of 200–500 kb that had been analysed previously, by ‘cutting’ in silico our longer molecules into fragments of 500 kb and comparing their inter replication tracks distances (IRTD) with those analysed in the earlier study. Figure 3 shows that the distribution of IRTD cumulative frequencies was essentially identical between our cut molecules (light grey circles) and those analysed in the earlier study (dark grey squares), and can be fitted with a single straight line indicative of random origin selection with no clusters. This is different from the distribution of IRTD measured on long DNA molecules which can be decomposed into two straight lines with different slopes, indicative for clustering30. This analysis demonstrates that the clusters of fired origins can only be revealed on multi-Mb-scale single DNA molecules. Comparisons between different molecules aligned to the same chromosomal sequence showed that in different cells clusters were located in different positions30 and so could not be detected in population-based approaches such as micro-arrays or DNA sequencing15,31.
Replication origin firing along human chromosomes
We next extended our improved DNA combing protocol to organisms with larger chromosomes to determine the maximum length of DNA molecules that could be analysed. We investigated the distribution of origin firing in human U2OS cells, synchronising the cells by first blocking cell cycle progression at S-phase onset using thymidine followed by release and a second block in mitosis using nocodazole (Supplementary Fig. S3a). At the end of mitotic block we plated cells in fresh media, allowing them to enter the cell cycle with high synchrony and equilibrated nucleotide pools (Supplementary Fig. S3b). We added BrdU in G1 (5 hours after release), allowing genomic DNA labelling upon entry into S-phase. Cells were collected at mid S-phase (12 hours after release) and genomic DNA was prepared for DNA combing (Supplementary Fig. S3c). We imaged an average of 8 Mb long single DNA molecules using our improved protocol, and were able to identify DNA molecules up to 12 Mb, which is 25 times longer than previously reported for human cells11,32. An example of a long single DNA molecule is shown in Fig. 4a (“cut” in silico into 44 consecutive fragments) and the synthetic image of the whole DNA molecule is shown below. Visual examination showed that replication origins fire in clusters of closely spaced origins separated by long regions with sparsely fired origins. Clusters of closely spaced origins have been reported previously for Xenopus, mouse and human cell lines33,34,35.
To analyse the distribution of origin firing along human chromosomes we analysed 7 additional single DNA molecules averaging 8 Mb in length and replicated up to 50% (Supplementary Fig. S4a and S5b). The average replication track length on these molecules was 15kb (90% of replication tracks were shorter than 30 Kb), suggesting that the majority of replication tracks most likely stemmed from a single origin (Supplementary Fig. S4b). We investigated whether the observed uneven distribution of fired origins in human U2OS cells results from random origin firing by plotting the cumulative frequencies of IODs on a semi-log plot. If origin distribution were random, a straight line would describe the cumulative frequencies of IODs. Figure 4b shows that the data points form a plot with two clear domains, both of which can be fitted with straight lines with different slopes, indicative of stochastic origin selection operating in the two domains but with different rates. The segment of the plot with the steeper slope encompasses 80% of all fired origins, with an average IOD of 20 kb, and corresponds to origins firing within clusters. The segment of the plot with the shallower slope encompasses 20% of all origins fired with an average IOD of 125 kb, and corresponds to origins firing in regions between clusters. We conclude that replication origin selection in human cells operates at different stochastic rates along chromosomes, forming clusters of closely spaced origins separated by regions with sparsely fired origins.
Next, we characterised cluster size by setting the maximal IODs within clusters to be 40 kb, twice the average 20 kb IOD, and estimated the minimal number of origins per cluster by varying the number of origins defining a cluster from two to 15, and plotting it against the number of clusters per genome. Supplementary Fig. S4c shows that the descending segment of the curve reaches saturation at 6 origins, which we have assumed to be the minimum number of origins defining a cluster. We used the values of 40 kb maximal IOD and 6 origins minimum per cluster to delineate clusters along the DNA molecules. Figure 4c shows that 85% of clusters range in size from 150 kb to 600kb with an average of 370 kb. We estimated the number of clusters within a single U2OS cell to be around 3200 at mid S-phase and that each cluster contains on average 19 fired origins. Each cell has fired approximately 70 000 origins by mid S-phase. We conclude that although the average IOD within clusters is similar for human and fission yeast cells, cluster size in human cells is roughly twice the size of those in fission yeast cells30.
We also measured replication fork velocity in U2OS cells by chasing BrdU with EdU for 20 minutes at mid S-phase (Supplementary Fig. S5a). To derive replication fork velocities we measured the length of EdU tracks immediately adjacent to BrdU tracks and divided their length by the time of the chase (Supplementary Fig. S5b). Supplementary Fig. S5c shows that in U2OS cells fork velocities range from 0.5 kb/min to 2 kb/min with an average of 1 kb/min. These values are similar to previously reported fork velocities measured on single DNA molecules for this cell line36,37. We also estimated the total number of origins firing in a single U2OS cell to complete genome duplication by counting the number of fired origins on single molecules replicated to 85%, and normalising this number to the entire genome (example molecule 3 Supplementary Fig. S5b). We found that a single cell is using approximately 100,000 origins to replicate its genome, although this may be an underestimate because in DNA molecules that are almost completely replicated a number of tracks will result from merged replicons. This number is similar to reported estimates of 80,000 origins used per cells during each S-phase38. We conclude that replication origins fire stochastically along human chromosomes forming clusters of closely spaced origins separated by regions with sparsely firing origins.
Discussion
We have modified DNA combing protocols to allow imaging of single DNA molecules up to 12Mb in length compared with previous limits of around 1 Mb. Our protocol allows analysis of origin firing and fork velocities on single DNA molecules genome-wide for organisms with small genomes and across large sub-chromosomal fragments in human cells. We showed that in human cells origin selection is a stochastic process forming clusters of closely spaced fired origins.
Previously, analysis of DNA replication on short DNA molecules resulted in different values for experimentally measured IODs and replication fork velocities for the same cell line39. These discrepancies may be due, in part, to differences in the sample size, the counterstaining of the entire DNA molecule, and the length of DNA molecules analysed in different studies. For example, the median IOD and the median fork velocities for DNA molecules with a median length of 104 kb, were 5-fold and 2-fold smaller than those measured for molecules with a median length of 378 kb39. Our improved DNA combing protocol could help to resolve these discrepancies since a relatively large sample of counterstained molecules can be imaged at the multi-Mb-scale.
Each cell must complete genome duplication in a timely fashion before the onset of mitosis. Failure to replicate even a small region of chromosomes would lead to genomic instability. Understanding the mechanisms underlying the timely completion of genome duplication will benefit from the analysis of models using experimentally measured parameters of the process of DNA replication. In organisms with small genomes and few chromosomes such as fission yeast, these parameters can be measured using DNA combing because a single DNA molecule at the scale of a full-length chromosome represents a significant part of the genome and can be used as a surrogate for the extent of DNA synthesis within the cell30. This allows an approach to estimate replication fork velocity and the rate of origin firing as an individual cell proceeds throughout S-phase.
DNA combing of multi-Mb-scale single DNA molecules allows the characterisation of the distribution of fired origins in clusters along human chromosomes. The absolute position of these clusters can be determined using FISH, allowing origins and clusters to be mapped to specific chromosomal sequences. In addition mutants and small molecules that perturb cluster characteristics can be screened to gain insights into their formation. Understanding the mechanisms responsible for cluster formation will bring insight to the higher order organisation of interphase chromosome in human cells. Finally, epigenetic modification such as DNA methylation can be detected on combed single DNA molecules using specific antibodies40. Using the protocol described here it should be possible to investigate the variability and inheritance of X chromosome inactivation, imprinted loci within the genome, transposon silencing and the repression of gene promoters on single DNA molecules. Ultimately, using specific reagents this method can be extended to analyse many kinds of DNA modification, such as ribonucleotide incorporation into DNA, single stranded nicks, or DSBs.
Methods
Fission Yeast Synchronisation and DNA Labelling
Standard fission yeast media and methods were used41. To obtain synchronised cell cultures, temperature sensitive cdc25-22 strains were grown in minimal media (EMM) at 25 °C to 1–2 × 106 cells/ml, shifted to 36 °C for 4 hours to block cells in late G2, and then released at 25 °C. 2 μM BrdU was added to a synchronised culture at 34 minutes after release (corresponding to G1-phase) allowing cells to enter S-phase in the presence of BrdU. Cell cycle progression was stopped at 75 inutes after release (corresponding to 50% of DNA replication for the population, estimated from FACS profiles) and DNA was prepared for DNA combing (Supplementary Fig. S1a,b). The combing data analysed in this study are presented in Supplementary Table S2 and are derived from previously reported fission yeast measurements30.
Human U2OS Cell Synchronisation and DNA Labelling
U2OS cells were cultured in DMEM containing 10% FBS at 37 °C with 5% CO2. To synchronise the population of cells in S-phase, cells were incubated in media containing 2.5 mM thymidine for 24 hours. Cells were then released in fresh media containing 100ng/mL nocodazole for 12 hours to block cell cycle progression in M-phase. At the end of mitotic block, rounded mitotic cells were shaken off and collected in fresh media. Five hours after mitotic release (corresponding to G1-phase for the population of cells, estimated from FACS profiles shown in Supplementary Fig. S3b) 10 μM BrdU was added to the cell culture. Cells were then collected at 12 hours after release (corresponding to mid S-phase for the population of cells, estimated from FACS profiles shown in Supplementary Fig. S3c) and samples were prepared for DNA combing. Alternatively, the BrdU label was chased with 30μM EdU for 20 minutes before samples were collected and prepared for DNA combing. The combing data analysed in this study are presented in Supplementary Table S1.
DNA Combing
Genomic DNA was prepared for combing in 1% low melting agarose Mb grade plugs (Bio-Rad)42. The plugs were washed for two days in TE 1X pH7.5 with 100 mM NaCl (buffer changes), melted for 15 minutes at 70 °C in MES 50 mM pH = 6, 100mM NaCl, and incubated overnight with 2 μl β Agarase (New England Biolabs) without mixing at 42 °C in a Teflon reservoir (produced in the machine workshop at the Rockefeller University). Glass surfaces were activated in plasma cleanser (Harrick Plasma) and coated with 7-Octenyltrichlorosilane in a gas chamber. Genomic DNA was combed on silanized glass surfaces using a combing machine (assembled with products from Thorlabs) at a speed of 900 μm/sec. After DNA denaturation biotinylated DNA probes were hybridized to combed DNA. To position and orient the combed DNA molecules on different chromosomes, sets of two probes for each chromosomal region were designed with unique signature of differing lengths and distances between them. For each experiment two controls were processed; to quantify the number of pixel corresponding to false negative staining we used fully BrdU-labelled DNA and to quantify the number of pixel corresponding to false positive staining we used un-labelled DNA. Detailed description of DNA combing methodology is provided in the Supplementary Methods.
Imaging and Quantification
Images for DNA molecules were collected in Metamorph (MDS Analytical Technologies) using an epifluorescence microscope (Axioplan 2, Carl Zeiss, Inc) equipped with a Zeiss Plan-FLUAR 63x/1.40 lense (Carl Zeiss, Inc) and CoolSNAP HQ camera (Roper Scientific).
Additional Information
How to cite this article: Kaykov, A. et al. Molecular combing of single DNA molecules on the 10 megabase scale. Sci. Rep. 6, 19636; doi: 10.1038/srep19636 (2016).
Supplementary Material
Acknowledgments
We thank Anderson Wang for helping with human U2OS cells experiments, Jessica Greenwood and members of the Nurse lab for discussions and reading of the manuscript. This work was supported by the Francis Crick Institute (grant number FCI01) which receives its core funding from Cancer Research UK, the UK Medical Research Council, and the Wellcome Trust. A.K. was supported by Irma T. Hirschl and Charles Revson postdoctoral fellowships. T.T. was supported by DARPA Biochronicity program, Grant D12AP00025 and the W.M. Keck Foundation. P.N. was supported by the Wellcome Trust (093917) and the Breast Cancer Research Foundation.
Footnotes
Author Contributions A.K. and P.N. designed the study. A.K. designed and carried out the experiments. T.T. developed the algorithm representing multi-Mb-long single DNA molecules as barcode diagrams. A.B. initially provided silane coated glass surfaces. A.K. and P.N. analysed the data and wrote the manuscript. All authors approved the final version of the manuscript.
References
- Bensimon A. et al. Alignment and sensitive detection of DNA by a moving interface. Science 265, 2096–2098 (1994). [DOI] [PubMed] [Google Scholar]
- Michalet X. et al. Dynamic molecular combing: stretching the whole human genome for high-resolution studies. Science 277, 1518–1523 (1997). [DOI] [PubMed] [Google Scholar]
- Marheineke K. & Hyrien O. Aphidicolin triggers a block to replication origin firing in Xenopus egg extracts. J Biol Chem 276, 17092–17100, 10.1074/jbc.M100271200 (2001). [DOI] [PubMed] [Google Scholar]
- Patel P. K., Arcangioli B., Baker S. P., Bensimon A. & Rhind N. DNA replication origins fire stochastically in fission yeast. Mol Biol Cell 17, 308–316, 10.1091/mbc.E05-07-0657 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Czajkowsky D. M., Liu J., Hamlin J. L. & Shao Z. DNA combing reveals intrinsic temporal disorder in the replication of yeast chromosome VI. J Mol Biol 375, 12–19, 10.1016/j.jmb.2007.10.046 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim J. H. & Larson R. G. Single-molecule analysis of 1D diffusion and transcription elongation of T7 RNA polymerase along individual stretched DNA molecules. Nucleic Acids Res 35, 3848–3858, 10.1093/nar/gkm332 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gueroui Z., Place C., Freyssingeas E. & Berge B. Observation by fluorescence microscopy of transcription on single combed DNA. Proc Natl Acad Sci USA 99, 6005–6010, 10.1073/pnas.092561399 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gad S. et al. Identification of a large rearrangement of the BRCA1 gene using colour bar code on combed DNA in an American breast/ovarian cancer family previously studied by direct sequencing. J Med Genet 38, 388–392 (2001). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koszul R., Caburet S., Dujon B. & Fischer G. Eucaryotic genome evolution through the spontaneous duplication of large chromosomal segments. EMBO J 23, 234–243, 10.1038/sj.emboj.7600024 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pasero P., Bensimon A. & Schwob E. Single-molecule analysis reveals clustering and epigenetic regulation of replication origins at the yeast rDNA locus. Genes Dev 16, 2479–2484, 10.1101/gad.232902 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lebofsky R. & Bensimon A. DNA replication origin plasticity and perturbed fork progression in human inverted repeats. Mol Cell Biol 25, 6789–6797, 10.1128/MCB.25.15.6789-6797.2005 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Georgescu R. E. et al. Mechanism of asymmetric polymerase assembly at the eukaryotic replication fork. Nat Struct Mol Biol 21, 664–670, 10.1038/nsmb.2851 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mechali M. Eukaryotic DNA replication origins: many choices for appropriate answers. Nat Rev Mol Cell Biol 11, 728–738, 10.1038/nrm2976 (2010). [DOI] [PubMed] [Google Scholar]
- Raghuraman M. K. et al. Replication dynamics of the yeast genome. Science 294, 115–121, 10.1126/science.294.5540.115 (2001). [DOI] [PubMed] [Google Scholar]
- Heichinger C., Penkett C. J., Bahler J. & Nurse P. Genome-wide characterization of fission yeast DNA replication origins. EMBO J 25, 5171–5179, 10.1038/sj.emboj.7601390 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marheineke K. & Hyrien O. Control of replication origin density and firing time in Xenopus egg extracts: role of a caffeine-sensitive, ATR-dependent checkpoint. J Biol Chem 279, 28071–28081, 10.1074/jbc.M401574200 (2004). [DOI] [PubMed] [Google Scholar]
- Conti C. et al. Replication fork velocities at adjacent replication origins are coordinately modified during DNA replication in human cells. Mol Biol Cell 18, 3059–3067, 10.1091/mbc.E06-08-0689 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Anglana M., Apiou F., Bensimon A. & Debatisse M. Dynamics of DNA replication in mammalian somatic cells: nucleotide pool modulates origin choice and interorigin spacing. Cell 114, 385–394 (2003). [DOI] [PubMed] [Google Scholar]
- Benke A., Mertig M. & Pompe W. pH- and salt-dependent molecular combing of DNA: experiments and phenomenological model. Nanotechnology 22, 035304, 10.1088/0957-4484/22/3/035304 (2011). [DOI] [PubMed] [Google Scholar]
- Allemand J. F., Bensimon D., Jullien L., Bensimon A. & Croquette V. pH-dependent specific binding and combing of DNA. Biophys J 73, 2064–2070, 10.1016/S0006-3495(97)78236-5 (1997). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bianco J. N. et al. Analysis of DNA replication profiles in budding yeast and mammalian cells using DNA combing. Methods 57, 149–157, 10.1016/j.ymeth.2012.04.007 (2012). [DOI] [PubMed] [Google Scholar]
- Smith C. L. et al. An electrophoretic karyotype for Schizosaccharomyces pombe by pulsed field gel electrophoresis. Nucleic Acids Res 15, 4481–4489 (1987). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bensimon D., Simon A. J., Croquette V. V. & Bensimon A. Stretching DNA with a receding meniscus: Experiments and models. Phys Rev Lett 74, 4754–4757 (1995). [DOI] [PubMed] [Google Scholar]
- Grandbois M., Beyer M., Rief M., Clausen-Schaumann H. & Gaub H. E. How strong is a covalent bond? Science 283, 1727–1730 (1999). [DOI] [PubMed] [Google Scholar]
- Rief M., Clausen-Schaumann H. & Gaub H. E. Sequence-dependent mechanics of single DNA molecules. Nat Struct Biol 6, 346–349, 10.1038/7582 (1999). [DOI] [PubMed] [Google Scholar]
- Clausen-Schaumann H., Rief M., Tolksdorf C. & Gaub H. E. Mechanical stability of single DNA molecules. Biophys J 78, 1997–2007, 10.1016/S0006-3495(00)76747-6 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Williams M. C., Wenner J. R., Rouzina I. & Bloomfield V. A. Effect of pH on the overstretching transition of double-stranded DNA: evidence of force-induced DNA melting. Biophys J 80, 874–881, 10.1016/S0006-3495(01)76066-3 (2001). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Otobe K. & Ohtani T. Behavior of DNA fibers stretched by precise meniscus motion control. Nucleic Acids Res 29, E109 (2001). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu Y. Y. et al. Ionic effect on combing of single DNA molecules and observation of their force-induced melting by fluorescence microscopy. J Chem Phys 121, 4302–4309, 10.1063/1.1777220 (2004). [DOI] [PubMed] [Google Scholar]
- Kaykov A. & Nurse P. The spatial and temporal organization of origin firing during the S-phase of fission yeast. Genome Res 25, 391–401, 10.1101/gr.180372.114 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xu J. et al. Genome-wide identification and characterization of replication origins by deep sequencing. Genome Biol 13, R27, 10.1186/gb-2012-13-4-r27 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guilbaud G. et al. Evidence for sequential and increasing activation of replication origins along replication timing gradients in the human genome. PLoS Comput Biol 7, e1002322, 10.1371/journal.pcbi.1002322 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blow J. J., Gillespie P. J., Francis D. & Jackson D. A. Replication origins in Xenopus egg extract Are 5-15 kilobases apart and are activated in clusters that fire at different times. J Cell Biol 152, 15–25 (2001). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cayrou C. et al. Genome-scale analysis of metazoan replication origins reveals their organization in specific but flexible sites defined by conserved features. Genome Res 21, 1438–1449, 10.1101/gr.121830.111 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Palumbo E., Tosoni E. & Russo A. General and specific replication profiles are detected in normal human cells by genome-wide and single-locus molecular combing. Exp Cell Res 319, 3081–3093, 10.1016/j.yexcr.2013.10.001 (2013). [DOI] [PubMed] [Google Scholar]
- Ge X. Q. & Blow J. J. Chk1 inhibits replication factory activation but allows dormant origin firing in existing factories. J Cell Biol 191, 1285–1297, 10.1083/jcb.201007074 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petermann E., Woodcock M. & Helleday T. Chk1 promotes replication fork progression by controlling replication initiation. Proc Natl Acad Sci USA 107, 16090–16095, 10.1073/pnas.1005031107 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mesner L. D. et al. Bubble-seq analysis of the human genome reveals distinct chromatin-mediated mechanisms for regulating early- and late-firing origins. Genome Res 23, 1774–1788, 10.1101/gr.155218.113 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Techer H. et al. Replication dynamics: biases and robustness of DNA fiber analysis. J Mol Biol 425, 4845–4855, 10.1016/j.jmb.2013.03.040 (2013). [DOI] [PubMed] [Google Scholar]
- Nemeth A. Methyl-combing: single-molecule analysis of DNA methylation on stretched DNA fibers. Methods Mol Biol 1094, 233–241, 10.1007/978-1-62703-706-8_18 (2014). [DOI] [PubMed] [Google Scholar]
- Moreno S., Klar A. & Nurse P. Molecular genetic analysis of fission yeast Schizosaccharomyces pombe. Methods Enzymol 194, 795–823 (1991). [DOI] [PubMed] [Google Scholar]
- Fan J. B. et al. Construction of a Not I restriction map of the fission yeast Schizosaccharomyces pombe genome. Nucleic Acids Res 17, 2801–2818 (1989). [DOI] [PMC free article] [PubMed] [Google Scholar]
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