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Dual indexed library design enables compatibility of in-Drop single-cell RNA-sequencing with exAMP chemistry sequencing platforms

Authors :
Austin N. Southard-Smith
Alan J. Simmons
Bob Chen
Angela L. Jones
Marisol A. Ramirez Solano
Paige N. Vega
Cherie’ R. Scurrah
Yue Zhao
Michael J. Brenan
Jiekun Xuan
Martha J. Shrubsole
Ely B. Porter
Xi Chen
Colin J. H. Brenan
Qi Liu
Lauren N. M. Quigley
Ken S. Lau
Source :
BMC Genomics, Vol 21, Iss 1, Pp 1-15 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background The increasing demand of single-cell RNA-sequencing (scRNA-seq) experiments, such as the number of experiments and cells queried per experiment, necessitates higher sequencing depth coupled to high data quality. New high-throughput sequencers, such as the Illumina NovaSeq 6000, enables this demand to be filled in a cost-effective manner. However, current scRNA-seq library designs present compatibility challenges with newer sequencing technologies, such as index-hopping, and their ability to generate high quality data has yet to be systematically evaluated. Results Here, we engineered a dual-indexed library structure, called TruDrop, on top of the inDrop scRNA-seq platform to solve these compatibility challenges, such that TruDrop libraries and standard Illumina libraries can be sequenced alongside each other on the NovaSeq. On scRNA-seq libraries, we implemented a previously-documented countermeasure to the well-described problem of index-hopping, demonstrated significant improvements in base-calling accuracy on the NovaSeq, and provided an example of multiplexing twenty-four scRNA-seq libraries simultaneously. We showed favorable comparisons in transcriptional diversity of TruDrop compared with prior inDrop libraries. Conclusions Our approach enables cost-effective, high throughput generation of sequencing data with high quality, which should enable more routine use of scRNA-seq technologies.

Details

Language :
English
ISSN :
14712164
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.85d9c14a13754f6b9a913a50e3805c93
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-020-06843-0