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Series GSE65116 Query DataSets for GSE65116
Status Public on Mar 16, 2016
Title Enhanced methylome sequencing by recovery of unsequenceable fragments
Organism Plasmodium berghei ANKA
Experiment type Methylation profiling by high throughput sequencing
Summary Bisulfite sequencing is a valuable tool for mapping the position of 5-methylcytosine in the genome at single base resolution. However, the associated chemistry renders the majority of DNA fragments unsequenceable, thus necessitating PCR amplification. Furthermore, bisulfite conversion generates an A,T-rich DNA library that leads to major PCR biases that may confound methylation analysis. Here we report a method that enables accurate methylation analysis, by rebuilding the damaged DNA library after bisulfite treatment. This recovery after bisulfite treatment (ReBuilT) approach enables PCR-free bisulfite sequencing from low nanogram quantities of genomic DNA. We applied the ReBuilT method for whole methylome analysis of the A,T rich genome of Plasmodium berghei. We demonstrate substantial improvements in coverage and the reduction of sequence-context biases as compared to classical methylome analysis. Our method will be widely applicable for accurate, quantitative methylation analysis, even for technically challenging genomes, and where limited sample DNA is available.
 
Overall design From the same DNA sample we prepared 3 PCR-free Bisulfite-Seq replicates (ReBuilT) and 2 standard Bisulfite-Seq replicates (PCR-BS).
 
Contributor(s) McInroy GR, Beraldi D, Raiber EA, Modrzynska KK, van Delft P, Balasubramanian S
Citation(s) 27031619
Submission date Jan 20, 2015
Last update date May 15, 2019
Contact name Dario Beraldi
E-mail(s) dario.beraldi@cruk.cam.ac.uk
Organization name Cambridge Research Institute
Street address Robinson Way
City Cambridge
ZIP/Postal code CB2 0RE
Country United Kingdom
 
Platforms (1)
GPL19670 Illumina NextSeq 500 (Plasmodium berghei ANKA)
Samples (5)
GSM1587548 ReBuilT replicate 1
GSM1587549 ReBuilT replicate 2
GSM1587550 ReBuilT replicate 3
Relations
BioProject PRJNA273015
SRA SRP052621

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE65116_20140710.grm.met.txt.gz 274.8 Mb (ftp)(http) TXT
GSE65116_Column_Descriptions_README.txt 1.7 Kb (ftp)(http) TXT
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Processed data are available on Series record

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