Journal
ANALYTICAL CHEMISTRY
Volume 85, Issue 22, Pages 11000-11006Publisher
AMER CHEMICAL SOC
DOI: 10.1021/ac402542g
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Funding
- National Science Foundation [CHE-0911191]
- Thomas C. Rumble University Graduate Research Fellowship at Wayne State University
- Direct For Mathematical & Physical Scien
- Division Of Chemistry [0911191] Funding Source: National Science Foundation
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Base-pairing interactions in proton-bound dimers of cytosine (C+center dot C) are the major forces responsible for stabilization of DNA i-motif conformations. Permethylation of cytosine in extended (CCG)center dot(CGG)(n) trinucleotide repeats has been shown to cause fragile-X syndrome, the most widespread inherited cause of mental retardation in humans. Oligonucleotides containing 5-bromo- or 5-fluorocytosine can bind to proteins that selectively bind methylated DNA, suggesting that halogenated cytosine damage products can potentially mimic methylation signals. However, the influence of methylation or halogenation on the base-pairing energies (BPEs) of proton-bound dimers of cytosine and their impact on the stability of DNA i-motif conformations is presently unknown. To address this, proton-bound homodimers of cytosine and 5-methyl-, 5-fluoro-, 5-bromo-, and 5-iodocytosine are investigated in detail both experimentally and theoretically. The BPEs of proton-bound homodimers of cytosine and the modified cytosines are measured by threshold collision-induced dissociation (TCID) techniques. 5-Methylation of cytosine is found to increase the BPE and would therefore tend to stabilize DNA i-motif conformations. In contrast, 5-halogenation lowers the BPE. However, the BPEs of the proton-bound 5-halocytosine homodimers examined here still significantly exceed that of Watson Crick G center dot C base pairs, such that DNA i-motif conformations should be preserved in the presence of these modifications. Excellent agreement between TCID measured and B3LYP calculated BPEs is found, suggesting that B3LYP calculations can be used to provide reliable energetic predictions for related systems.
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