Using a high-throughput genome-mapping approach, we obtained circa 50 million measurements of the
extension of internal human DNA segments in a 41 nm × 41 nm nanochannel. The underlying DNA
sequences, obtained by mapping to the reference human genome, are 2.5–393 kilobase pairs long and
contain percent GC contents between 32.5% and 60%. Using Odijk’s theory for a channel-confined
wormlike chain, these data reveal that the DNA persistence length increases by almost 20% as the percent
GC content increases. The increased persistence length is rationalized by a model, containing no adjustable
parameters, that treats the DNA as a statistical terpolymer with a sequence-dependent intrinsic persistence
length and a sequence-independent electrostatic persistence length.
The data provided here contains experimental results, all Matlab codes for statistical analysis and for generating figures in the paper.
National Institutes of Health under grants R01-HG006851
Reinhart, Wesley F., Jeff G. Reifenberger, Damini Gupta, Abhiram Muralidhar, Julian Sheats, Han Cao, and Kevin D. Dorfman. “Distribution of Distances between DNA Barcode Labels in Nanochannels Close to the Persistence Length.” The Journal of Chemical Physics 142, no. 6 (February 10, 2015): 064902.
“Extensive Sequencing of Seven Human Genomes to Characterize Benchmark Reference Materials | Scientific Data.” Accessed December 11, 2017. https://www.nature.com/articles/sdata201625.
Depositor did not specify a license. Material may be reused with appropriate attribution.
Chuang, Hui-Min; Reifenberger, Jeffrey G; Cao, Han; Dorfman, Kevin D.
(2017). Data from: Sequence-Dependent Persistence Length of Long DNA.
Retrieved from the Data Repository for the University of Minnesota,