New BMC Genomics publication validates novel TruDrop approach developed in collaboration with scientists at Vanderbilt University Medical Center and RootPath Genomics
1CellBio, Inc., announced today a new dual indexed library design capability that improves costs, throughput and data quality for its inDrop™ single-cell RNA sequencing (scRNA-seq) System. The TruDrop capability was developed in collaboration with scientists from the laboratory of Ken Lau, PhD, Associate Professor of Cell and Developmental Biology at Vanderbilt University School of Medicine and RootPath Genomics. The approach was described in a new BMC Genomics manuscript entitled, “Dual indexed library design enables compatibility of in-Drop single-cell RNA-sequencing with exAMP chemistry sequencing platforms.”
The TruDrop dual indexed library design capability integrates seamlessly with the current inDrop workflow and can be used for a diverse range of clinical, pharmaceutical and biological research applications. inDrop customers will be able to overcome index hopping and other common platform compatibility challenges by running TruDrop and standard Illumina libraries alongside each other on the Illumina NovaSeq 6000. As part of the study, the team of scientists demonstrated significant improvements in base-calling accuracy on the NovaSeq and provided an example of multiplexing 24 scRNA-seq libraries simultaneously. The high multiplexing enables researchers to conduct larger-scale scRNA-seq experiments or query more cells per experiment.
“In order to realize many of the advantages of the latest Illumina NGS platforms, scRNA-seq libraries must utilize a multiplex sequencing strategy that adequately addresses the problem of index hopping,” said Lauren Quigley, PhD, 1CellBio scientist and a senior author of the study. “The unique TruDrop and inDrop combination solves this problem and provides lower base call error rates, enabling scientists to generate high-quality data from hundreds of samples more cost-effectively than before.”
Source – BusinessWire