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Development of bisulfite-free DNA methylation sequencing methods and their application to cell-free DNA for cancer detection

Abstract:

5-Methylcytosine (5mC) is the most abundant epigenetic mark in DNA regulating gene expression and influencing crucial cellular processes. Aberrant DNA methylation is involved in pathogenesis of human malignancies. Detection of cancer-specific methylation patterns in cell-free DNA (cfDNA) is a promising approach for development of minimally invasive, liquid biopsy assays. Most of methylation sequencing methods are based on bisulfite treatment that causes an extensive DNA damage, therefore are not ideal for analysis of minute amount of cfDNA. Unfortunately, technological limitations affect whole-genome methylation analysis of cfDNA. During the course of this project, we developed and validated novel approaches addressing the most important drawbacks of currently available technologies.

First, we developed and validated enrichment-based cfMeSeal approach by combining enzymatic and chemical labelling for cost-effective 5mC sequencing in cfDNA.

Second, we designed and developed a bisulfite-free method, Tet-assisted Pyridine Borane Sequencing (TAPS) for base-resolution 5mC sequencing. We demonstrated that TAPS is a mild reaction and outperforms bisulfite sequencing (BS-seq) at many aspects including improved sequence quality, better mapping statistics and direct conversion of modified sites. Finally, we confirmed that TAPS can be applied for cfDNA methylation sequencing and provides comprehensive information of cfDNA methylation and fragmentation. Information gained from cfDNA TAPS sequencing enables detection of hepatocellular carcinoma and pancreatic cancer with high accuracy.

Together, we demonstrated that newly developed sequencing tools can outperform existing technologies and facilitate comprehensive cfDNA methylation sequencing and provide multidimensional information about cfDNA with high cancer predictive potential.

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Authors

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Division:
MSD
Department:
NDM
Sub department:
Oxford Ludwig Institute
Research group:
Chunxiao Song
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0003-3284-6249

Contributors

Division:
MSD
Department:
NDM
Sub department:
Oxford Ludwig Institute
Oxford college:
Kellogg College
Role:
Supervisor
ORCID:
0000-0002-2273-5994
Division:
MSD
Department:
NDM
Sub department:
Oxford Ludwig Institute
Oxford college:
Kellogg College
Role:
Supervisor


More from this funder
Funder identifier:
http://dx.doi.org/10.13039/501100000289
Funding agency for:
Siejka-Zielinska, P
Programme:
Ludwig studentship
More from this funder
Funding agency for:
Song, C
Grant:
C63763/A26394
C63763/A27122


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Language:
English
Keywords:
Subjects:
Pubs id:
2043629
Local pid:
pubs:2043629
Deposit date:
2021-01-14
ARK identifier:

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