Description
This track was produced as part of the ENCODE Project.
This track shows genome-wide assessment of DNA replication timing in
cell lines
using NimbleGen tiling CGH microarrays. Each experiment represents
the relative enrichment of early vs. late S-phase nascent strands in
a given cell line, with data represented as a loess-smoothed function
of individual timing values at probes spaced at even intervals across
the genome. Regions with high values indicate domains of early replication where
initiaion occurs earlier in S-phase or early in a higher proportion of cells.
Display Conventions and Configuration
Wavelet-smoothed Signal
Wavelet-smoothed of mean early/late S-phase ratios.
Metadata for a particular subtrack can be found by clicking the down arrow in the list of
subtracks.
Methods
Cells were grown according to the approved
ENCODE cell culture protocols.
Methods for replication timing profile creation and analysis are described in detail in
Hiratani et al. (2008) and Ryba et al. (June 2011).
Methods for individual stages are summarized below:
Extraction protocol
Replication timing data were obtained by hybridizing early and late replication intermediates to
NimbleGen oligonucleotide arrays. Replication intermediates were prepared from cells that were first
pulse-labeled with BrdU and then sorted into early (1st half of S) and late (2nd half of S) stages
of S-phase by flow cytometry, followed by anti-BrdU immunoprecipitation of the BrdU-substituted
(nascent) replication intermediates that were synthesized either early or late during S-phase.
Samples were labeled after unbiased amplification of recovered DNA by whole-genome amplification
(WGA; Sigma, GenomePlex).
Hybridization protocol
The hydridization set used the
NimbleGen standard protocol.
Cy3- and Cy5-labeled DNA samples (6 µg each) were co-hybridized to Nimblegen CGH arrays
containing evenly-spaced oligonucleotide probes across the mouse genome, with a median probe spacing
of 1.1-5.8 kb. No differences in smoothed data have been detected with probe densities from 100 bp
to 5.8 kb.
Scan protocol
NimbleGen MS 200 2 µm resolution scanner and GenePix software were used per
NimbleGen's standard protocol.
Data processing
NimbleScan software was used to obtain .pair raw data per manufacturer's instructions.
Raw early/late data (i.e., from .pair files) from two independent biological replicates in
which early- and late-replicating DNA were labeled reciprocally were loess-normalized to remove
signal intensity-dependent bias, scaled to a reference data set to have the same median absolute
deviation and then averaged (limma package, R/Bioconductor). The mean early/late ratios were used to
generate a smoothed profile (i.e., processed data) using local polynomial smoothing (loess, 300 kb
span) for each chromosome using basic functions in the statistical language R.
Verification
Technical data quality was assessed by verifying high auto-correlation between neighboring timing
values. Biological identity was confirmed by verifying consistent early or late replication by PCR
at individual loci, as well as uniformity in replication profiles between replicate experiments.
Credits
These data were generated by the FSU ENCODE group.
Contact:
David M. Gilbert
References
Hiratani I, Ryba T, Itoh M, Rathjen J, Kulik M, Papp B, Fussner E, Bazett-Jones DP, Plath K, Dalton S et al.
Genome-wide dynamics of replication timing revealed by in vitro models of mouse embryogenesis.
Genome Res. 2010 Feb;20(2):155-69.
Hiratani I, Ryba T, Itoh M, Yokochi T, Schwaiger M, Chang CW, Lyou Y, Townes TM, Schübeler D, Gilbert DM.
Global reorganization of replication domains during embryonic stem cell differentiation.
PLoS Biol. 2008 Oct 7;6(10):e245.
Pope BD, Tsumagari K, Battaglia D, Ryba T, Hiratani I, Ehrlich M, Gilbert DM.
DNA replication timing is maintained genome-wide in primary human myoblasts independent of D4Z4 contraction in FSH muscular dystrophy.
PLoS One. 2011;6(11):e27413.
Ryba T, Battaglia D, Pope BD, Hiratani I, Gilbert DM.
Genome-scale analysis of replication timing: from bench to bioinformatics.
Nat Protoc. 2011 Jun;6(6):870-95.
Ryba T, Hiratani I, Lu J, Itoh M, Kulik M, Zhang J, Schulz TC, Robins AJ, Dalton S, Gilbert DM.
Evolutionarily conserved replication timing profiles predict long-range chromatin interactions and distinguish closely related cell types.
Genome Res. 2010 Jun;20(6):761-70.
Ryba T, Hiratani I, Sasaki T, Battaglia D, Kulik M, Zhang J, Dalton S, Gilbert DM.
Replication timing: a fingerprint for cell identity and pluripotency.
PLoS Comput Biol. 2011 Oct;7(10):e1002225.
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