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Supporting data and materials for "Exemplary multiplex bisulfite amplicon data used to demonstrate the utility of Methpat".

Dataset type: Software, Epigenomic
Data released on November 24, 2015

Wong NC; Pope BJ; Candiloro I; Korbie D; Trau M; Wong SQ; Mikeska T; van Denderen BJ; Thompson EW; Eggers S; Doyle S; Dobrovic A (2015): Supporting data and materials for "Exemplary multiplex bisulfite amplicon data used to demonstrate the utility of Methpat". GigaScience Database. https://doi.org/10.5524/100167

DOI10.5524/100167

DNA methylation is a complex epigenetic marker that can be analysed using a wide variety of methods. Interpretation and visualisation of DNA methylation data can mask complexity in terms of methylation status at each CpG site, cellular heterogeneity of samples and allelic DNA methylation patterns within a given DNA strand. Bisulfite sequencing is considered the gold standard, however visualisation of massively parallel sequencing results remains a significant challenge.
We created a program called Methpat that facilitates visualisation and interpretation of bisulfite sequencing data generated by massively parallel sequencing. To demonstrate this, we performed multiplex PCR that targeted 48 regions of interest across 86 human samples. The regions selected included known gene promoters associated with cancer, repetitive elements, known imprinted regions and mitochondrial genomic sequences. We interrogated a range of samples including human cell lines, primary tumours and primary tissue samples. Methpat generates two forms of output: a tab delimited text file for each sample that summarises DNA methylation patterns and their read counts for each amplicon and a HTML file that summarises this data visually. Methpat can be used with publicly available whole genome bisulfite sequencing (WGBS) and reduced representation bisulfite sequencing (RRBS) datasets with sufficient read depths.
Using Methpat, complex DNA methylation data derived from massively parallel sequencing can be summarised and visualised for biological interpretation. By accounting for allelic DNA methylation states and their abundance in a sample, Methpat can unmask the complexity of DNA methylation and reveal further biological insight in existing datasets.

Additional details

Read the peer-reviewed publication(s):

  • Wong, N. C., Pope, B. J., Candiloro, I., Korbie, D., Trau, M., Wong, S. Q., Mikeska, T., van Denderen, B. J. W., Thompson, E. W., Eggers, S., Doyle, S. R., & Dobrovic, A. (2015). Exemplary multiplex bisulfite amplicon data used to demonstrate the utility of Methpat. GigaScience, 4(1). https://doi.org/10.1186/s13742-015-0098-x

Accessions (data included in GigaDB):

GEO: GSE67856
GEO: GSE71804

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Table Settings
Sample ID Common Name Scientific Name Sample Attributes Taxonomic ID Genbank Name
12A-CD19 Human Homo sapiens Description:Normal Fluorescent Activated Cell Sorted (FACS) CD19 positive bone marrow cells from individual 12A
Alternative accession-GEO:GSM1657259
9606 human
12A-CD33 Human Homo sapiens Alternative accession-GEO:GSM1657260
Description:Normal Fluorescent Activated Cell Sorted (FACS) CD33 positive bone marrow cells from individual 12A
9606 human
12A-CD34 Human Homo sapiens Description:Normal Fluorescent Activated Cell Sorted (FACS) CD34 positive bone marrow cells from individual 12A
Alternative accession-GEO:GSM1657261
9606 human
12A-CD45 Human Homo sapiens Alternative accession-GEO:GSM1657262
Description:Normal Fluorescent Activated Cell Sorted (FACS) CD45 positive bone marrow cells from individual 12A
9606 human
293 Human Homo sapiens Alternative accession-GEO:GSM1657263
Description:HEK-293 embryonic kidney cell line. ATCC CRL1573
9606 human
40424 Human Homo sapiens Description:Normal fibroblast cell line
Alternative accession-GEO:GSM1657264
9606 human
6-MDA453 Human Homo sapiens Description:MDA-MB-453 metastatic breast cancer cell line. ATCC HTB-131
Alternative accession-GEO:GSM1657265
9606 human
6C-CD19 Human Homo sapiens Alternative accession-GEO:GSM1657266
Description:Normal Fluorescent Activated Cell Sorted (FACS) CD19 positive bone marrow cells from individual 6C
9606 human
6C-CD33 Human Homo sapiens Alternative accession-GEO:GSM1657267
Description:Normal Fluorescent Activated Cell Sorted (FACS) CD33 positive bone marrow cells from individual 6C
9606 human
6C-CD34 Human Homo sapiens Description:Normal Fluorescent Activated Cell Sorted (FACS) CD34 positive bone marrow cells from individual 6C
Alternative accession-GEO:GSM1657268
9606 human

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Table Settings

File Name Description Sample ID Data Type File Format Size Release Date File Attributes Download
Readme TEXT 462 B 2015-11-11 MD5 checksum: 1e3ebbc5ca425daf7d0b7e0617c3cdf7
Sorted BAM file Methylome data BAM 4.27 MB 2015-11-11 MD5 checksum: 46b76c6e44b870cce95ce1d6580bdca6
Raw BAM file after Bismark aligment Methylome data BAM 5.54 MB 2015-11-11 MD5 checksum: 3c8dfe31bcf417ebde563d907fab4eee
Sorted BAM file Methylome data BAM 6.07 MB 2015-11-11 MD5 checksum: 53f468ceefc1030177a903447a2f1765
Raw BAM file after Bismark aligment Methylome data BAM 8.20 MB 2015-11-11 MD5 checksum: d8ff52c217b009a6dca5504d58567b51
Sorted BAM file Methylome data BAM 7.45 MB 2015-11-11 MD5 checksum: 86da6fb984397e3e91f03ccbe5d35055
Raw BAM file after Bismark aligment Methylome data BAM 10.48 MB 2015-11-11 MD5 checksum: bc5d96fc85d3399e31b48ffda7110103
Sorted BAM file Methylome data BAM 11.48 MB 2015-11-11 MD5 checksum: 980474518ac40af6f324146764cfd21c
Raw BAM file after Bismark aligment Methylome data BAM 15.26 MB 2015-11-11 MD5 checksum: f449034c60611a8329d412dd62ad297f
Sorted BAM file Methylome data BAM 2.62 MB 2015-11-11 MD5 checksum: 315c0c852acf0f741488086f27a1cc76
Funding body Awardee Award ID Comments
National Breast Cancer Foundation CG-08-07
National Breast Cancer Foundation CG-10-04
National Breast Cancer Foundation CG-12-07
National Health and Medical Research Council APP1027527
Victorian Cancer Agency
Victor Smorgon Charitable Fund
Date Action
November 24, 2015 Dataset publish
November 27, 2015 Manuscript Link added : 10.1186/s13742-015-0098-x
May 1, 2020 File readme.txt updated