bioRxivGenomicsPreprint
CoolMPS™: Advanced massively parallel sequencing using antibodies specific to each natural nucleobase
Snezana Drmanac, Matthew J. Callow, Linsu Chen, Ping Zhou, Leon Eckhardt, Chongjun XuiD, Meihua GongiD, Scott Gablenz, Jyothi Rajagopal, Qing Yuan YangiD, Christian Villarosa, Anthony Au, Kyle Davis, Alexander Jorjorian, Jingjing Wang, Ao CheniD, Xian ZhangiD, Adam Borcherding, Xiaofang Wei, Mingxuan ZhangiD, Yonghui XieiD, Nina Barua, Jay Shafto, Yuliang DongiD, Yue ZhengiD, , Radoje Drmanac
Abstract
Massively parallel sequencing (MPS) on DNA nanoarrays provides billions of reads at relatively low cost and enables a multitude of genomic applications. Further improvement in read length, sequence quality and cost reduction will enable more affordable and accurate comprehensive health monitoring tests. Currently the most efficient MPS uses dye-labeled reversibly terminated nucleotides (RTs) that are expensive to make and challenging to incorporate. Furthermore, a part of the dye-linker (scar) remains on the nucleobase after cleavage and interferes with subsequent sequencing cycles. We describe here the development of a novel MPS chemistry (CoolMPS) utilizing unlabeled RTs and four natural nucleobase-specific fluorescently labeled antibodies with fast (30 sec) binding. We implemented CoolMPS on MGIs PCR-free DNBSEQ MPS platform using arrays of 200nm DNA nanoballs (DNBs) generated by rolling circle replication and demonstrate 3-fold improvement in signal intensity and elimination of scar interference. Single-end 100-400 base and pair-end 2x150 base reads with high quality were readily generated with low out-of-phase incorporation. Furthermore, DNBs with less than 50 template copies were successfully sequenced by strong-signal CoolMPS with 3-times higher accuracy than in standard MPS. CoolMPS chemistry based on natural nucleobases has potential to provide longer, more accurate and less expensive MPS reads, including highly accurate "4-color sequencing" on the most efficient dye-crosstalk-free 2-color imagers with an estimated sequencing error rate of 0.00058% (one error in 170,000 base calls) in a proof-of-concept demonstration.
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