RESCOT: Restriction enzyme set and combination optimization tools for rNMP capture techniques


The incorporation of ribonucleoside monophosphates (rNMPs) in genomic DNA is a frequent phenomenon in many species, often associated with genome instability and disease. The ribose-seq technique is one of a few techniques designed to capture and map rNMPs embedded in genomic DNA. The first step of ribose-seq is restriction enzyme (RE) fragmentation, which cuts the genome into smaller fragments for subsequent rNMP capture. The RE selection chosen for genomic DNA fragmentation in the first step of the rNMP-capture techniques determines the genomic regions in which the rNMPs can be captured. Here, we designed a computational method, Restriction Enzyme Set and Combination Optimization Tools (RESCOT), to calculate the genomic coverage of rNMP-captured regions for a given RE set and to optimize the RE set to significantly increase the rNMP-captured-region coverage. Analyses of ribose-seq libraries for which the RESCOT tools were applied reveal that many rNMPs were captured in the expected genomic regions. Since different rNMP-mapping techniques utilize RE fragmentation and purification steps based on size-selection of the DNA fragments in the protocol, we discuss the possible usage of RESCOT for other rNMP-mapping techniques. In summary, RESCOT generates optimized RE sets for the fragmentation step of many rNMP capture techniques to maximize rNMP capture rate and thus enable researchers to better study characteristics of rNMP incorporation.

Theoretical Computer Science
Penghao Xu
Penghao Xu
Research Scientist

Research Scientist at Meta. Ph.D. in Bioinformatics at Georgia Tech.