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Paediatric leukaemia DNA methylation profiling using MBD enrichment and SOLiD sequencing on archival bone marrow smears.

Publication ,  Journal Article
Wong, NC; Meredith, GD; Marnellos, G; Dudas, M; Parkinson-Bates, M; Halemba, MS; Chatterton, Z; Maksimovic, J; Ashley, DM; Mechinaud, F ...
Published in: Gigascience
2015

BACKGROUND: Acute Lymphoblastic Leukaemia (ALL) is the most common cancer in children. Over the past four decades, research has advanced the treatment of this cancer from a less than 60% chance of survival to over 85% today. The causal molecular mechanisms remain unclear. Here, we performed sequencing-based genomic DNA methylation profiling of eight paediatric ALL patients using archived bone marrow smear microscope slides. FINDINGS: SOLiD™ sequencing data was collected from Methyl-Binding Domain (MBD) enriched fractions of genomic DNA. The primary tumour and remission bone marrow sample was analysed from eight patients. Four patients relapsed and the relapsed tumour was analysed. Input and MBD-enriched DNA from each sample was sequenced, aligned to the hg19 reference genome and analysed for enrichment peaks using MACS (Model-based Analysis for ChIP-Seq) and HOMER (Hypergeometric Optimization of Motif EnRichment). In total, 3.67 gigabases (Gb) were sequenced, 2.74 Gb were aligned to the reference genome (average 74.66% alignment efficiency). This dataset enables the interrogation of differential DNA methylation associated with paediatric ALL. Preliminary results reveal concordant regions of enrichment indicative of a DNA methylation signature. CONCLUSION: Our dataset represents one of the first SOLiD™MBD-Seq studies performed on paediatric ALL and is the first to utilise archival bone marrow smears. Differential DNA methylation between cancer and equivalent disease-free tissue can be identified and correlated with existing and published genomic studies. Given the rarity of paediatric haematopoietic malignancies, relative to adult counterparts, our demonstration of the utility of archived bone marrow smear samples to high-throughput methylation sequencing approaches offers tremendous potential to explore the role of DNA methylation in the aetiology of cancer.

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Published In

Gigascience

DOI

EISSN

2047-217X

Publication Date

2015

Volume

4

Start / End Page

11

Location

United States

Related Subject Headings

  • Sequence Analysis, DNA
  • Leukemia
  • Humans
  • Databases, Genetic
  • DNA Methylation
  • Child
  • Cell Line, Tumor
  • Bone Marrow
 

Citation

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Wong, N. C., Meredith, G. D., Marnellos, G., Dudas, M., Parkinson-Bates, M., Halemba, M. S., … Saffery, R. (2015). Paediatric leukaemia DNA methylation profiling using MBD enrichment and SOLiD sequencing on archival bone marrow smears. Gigascience, 4, 11. https://doi.org/10.1186/s13742-015-0050-0
Wong, Nicholas Cl, Gavin D. Meredith, George Marnellos, Miroslav Dudas, Mandy Parkinson-Bates, Minhee Suh Halemba, Zac Chatterton, et al. “Paediatric leukaemia DNA methylation profiling using MBD enrichment and SOLiD sequencing on archival bone marrow smears.Gigascience 4 (2015): 11. https://doi.org/10.1186/s13742-015-0050-0.
Wong NC, Meredith GD, Marnellos G, Dudas M, Parkinson-Bates M, Halemba MS, et al. Paediatric leukaemia DNA methylation profiling using MBD enrichment and SOLiD sequencing on archival bone marrow smears. Gigascience. 2015;4:11.
Wong, Nicholas Cl, et al. “Paediatric leukaemia DNA methylation profiling using MBD enrichment and SOLiD sequencing on archival bone marrow smears.Gigascience, vol. 4, 2015, p. 11. Pubmed, doi:10.1186/s13742-015-0050-0.
Wong NC, Meredith GD, Marnellos G, Dudas M, Parkinson-Bates M, Halemba MS, Chatterton Z, Maksimovic J, Ashley DM, Mechinaud F, Craig JM, Saffery R. Paediatric leukaemia DNA methylation profiling using MBD enrichment and SOLiD sequencing on archival bone marrow smears. Gigascience. 2015;4:11.
Journal cover image

Published In

Gigascience

DOI

EISSN

2047-217X

Publication Date

2015

Volume

4

Start / End Page

11

Location

United States

Related Subject Headings

  • Sequence Analysis, DNA
  • Leukemia
  • Humans
  • Databases, Genetic
  • DNA Methylation
  • Child
  • Cell Line, Tumor
  • Bone Marrow