Low levels of methylation are targeted to aberrantly methylated CGIs in human colorectal cancer cells
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Abstract
Disruption of DNA methylation patterns is a primary hallmark of cancer. One
main disruption is CpG islands (CGIs) aberrant hypermethylation which is
associated with transcriptional repression of tumour suppressor genes such as
BRCA1, MLH1, and CDKN2A (p16/ARF). However, the mechanism(s)
underpinning this process are still unknown. One hypothesis is that high de novo
methylation activity is targeted to CGIs that get aberrantly methylated in cancer.
To investigate this, I used human colorectal cancer cell line (HCT116) as a
model. Firstly, I have ectopically integrated representative aberrantly methylated
CGIs randomly into the genome and assessed their methylation at ectopic loci. I
show that integrated CGIs rarely gained methylation at ectopic locations. This
suggested that the sequence doesn’t program CGIs aberrant methylation at
ectopic loci in HCT116 and that low de novo methylation is targeted to
aberrantly methylated CGIs. Next, I wanted to confirm this result by integrating
CGIs at a chosen genomic loci in order to exclude any effects from the CGI
position on its methylation status. This was performed by recombinase mediated
cassette exchange (RMCE). Successful targeting of a RMCE cassette to the
desired chromosomal locus was achieved. However, isolating clonal cell lines
with integrated CGIs was technically infeasible due to difficulty in using the
thymidine kinase selection in HCT116. In order to investigate which CGIs have
higher de novo methylation in HCT116 on a genome wide level, I restored
DNMT3B expression in DNMTA1/DNMT3B double knockout (DKO) of HCT116.
In agreement with previous reports, DNMT3B showed higher de novo
methylation activity at CGIs overlapping H3K36me3. Most importantly,
aberrantly methylated CGIs showed ~ 78.5% less methylation gain compared to
normally methylated CGIs. To confirm results from this experiment, I treated
HCT116 with 5-Aza-2′-deoxycytidine and then allowed cells to recover
methylation. The rate of methylation recovery of CGIs was assessed. This
showed that aberrantly methylated CGIs recover slower than normally
methylated CGIs, confirming that lower de novo methylation is targeted to
aberrantly methylated CGIs compared to normally methylated ones. The work
carried out during the course of this thesis provides novel insights into the
process of de novo methylating CGIs in cancer on a genome wide level. It
suggests that low levels, rather than high levels, of methylation are targeted to
aberrantly methylated CGIs in colorectal tumours.
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