Many types of cancer and neurodegenerative diseases are caused by abnormalities and variations in the genome. We have designed a high-resolution imaging technique with high throughput and low cost for determining structural variations of genes related to genetic diseases. We initially mapped all seven nicking sites of Nb.BbvCI endonuclease enzyme on lambda DNA. Then we resolved densely labeled patterns of 107 nicking sites on human BAC DNA that is digested by Nb.BsmI and Nb.BbvCI endonuclease enzymes. This high density resulted in several dyes being closer together than the diffraction limit. Overall, detailed DNA nicking sites mapping with 100bp resolution was achieved, which has the potential to reveal information about genetic variance and to facilitate medical diagnosis of several genetic diseases.
Multicolor Super-Resolution DNA Imaging for Genetic Analysis
Creators
Murat Baday - University of Illinois at Urbana-Champaign
Aaron Cravens - University of Illinois at Urbana-Champaign
Alex Hastie - BioNano Genomics (United States)
HyeongJun Kim - University of Illinois at Urbana-Champaign
Deren E. Kudeki - University of Illinois at Urbana-Champaign
Pui-Yan Kwok - University of California, San Francisco
Ming Xiao - BioNano Genomics (United States)
Paul R. Selvin - University of Illinois at Urbana-Champaign
Publication Details
Nano letters, v 12(7), pp 3861-3866
Publisher
American Chemical Society; Washington, DC
Number of pages
6
Grant note
1063188 / Direct For Biological Sciences; National Science Foundation (NSF); NSF - Directorate for Biological Sciences (BIO)
Network for Computational Nanotechnology at Illinois
DBI-02-15869; 082265 / NSF; National Science Foundation (NSF)
068625; R01-HG005946 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
R01HG005946 / NATIONAL HUMAN GENOME RESEARCH INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Human Genome Research Institute (NHGRI)
Resource Type
Journal article
Language
English
Academic Unit
School of Biomedical Engineering, Science, and Health Systems
Web of Science ID
WOS:000306296200085
Scopus ID
2-s2.0-84863847010
Other Identifier
991019167900104721
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