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Updated: Jan 30, 2026

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Published on: June 10, 2017
Comparison of SureSelect and Nextera Exome Capture Performance in Single-Cell Sequencing
Wendy J Huss1, Qiang Hu2, Sean T Glenn3,4
1Department of Pharmacology and Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Agilent SureSelectXT (AGL) offers superior performance for single-cell whole exome sequencing (scWES) compared to Nextera rapid capture (NXT). AGL provides better data quality and variant calling accuracy for rare cell analysis in cancer research.
Area of Science:
- Genomics and Molecular Biology
- Cancer Research
- Single-Cell Analysis
Background:
- Single-cell sequencing enables detailed examination of rare cells like circulating tumor cells.
- Single-cell whole exome sequencing (scWES) is crucial for understanding cancer at a single-cell level.
- Limited knowledge exists regarding the performance of different exome capture kits for scWES.
Purpose of the Study:
- To compare the performance of Agilent SureSelectXT (AGL) and Nextera rapid capture (NXT) exome capture kits for scWES.
- To evaluate data quality and variant calling accuracy between AGL and NXT in scWES applications.
Main Methods:
- DNA libraries were generated from 192 single cells isolated from melanoma spheres using Fluidigm C1.
- Twelve high-yield cells underwent dual-exome capture and sequencing using both AGL and NXT kits in parallel.
- Performance was assessed through mapping rates, coverage uniformity, capture efficiency, and variant calling accuracy.
Main Results:
- AGL demonstrated superior performance over NXT in coverage uniformity, mapping rates, exome capture rates, and reduced PCR duplicates.
- AGL showed better germline variant calling accuracy, with higher overlap with dbSNP and appropriate transition-transversion ratios.
- AGL-based scWES achieved high positive predictive values and good sensitivity for somatic mutation detection compared to bulk sequencing.
Conclusions:
- Agilent SureSelectXT (AGL) is a viable and high-performing option for single-cell whole exome sequencing (scWES).
- AGL yields superior data quality compared to the Fluidigm protocol utilizing NXT, especially when sufficient DNA is available.
- This finding enhances the toolkit for detailed genomic analysis of rare cells in cancer research.
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