A comprehensive analysis framework for evaluating commercial single-cell RNA sequencing technologies
This study examined nine prominent commercially available single-cell RNA sequencing (scRNA-seq) kits across four technology groups. Each kit was characterized using peripheral blood mononuclear cells (PBMCs) from a single donor, which enabled consistent assessment of factors such as analytical performance, protocol duration and cost. The Chromium Fixed RNA Profiling kit from 10× Genomics, with its probe-based RNA detection method, demonstrated the best overall performance. The Rhapsody WTA kit from Becton Dickinson exhibited a balance between performance and cost. Importantly, we introduce the read utilization metric, which differentiates scRNA-seq kits based on the efficiency of converting sequencing reads into usable counts. Thus, read utilization is an important feature that substantially impacts sensitivity and cost. With data from 169, 262 cells, our work provides a comprehensive comparison of commercial scRNA-seq technologies to facilitate the effective implementation of single-cell studies.
Authors
- Marco De Simone (ORCID: https://orcid.org/0000-0002-7593-8314)
- Jessica Lund
- Spyros Darmanis (ORCID: https://orcid.org/0000-0003-4002-8158)
- Hayley M. Bennett (ORCID: https://orcid.org/0000-0001-8879-2855)
- Jonathan Hoover (ORCID: https://orcid.org/0000-0002-2893-4425)
- Yuxin Liang (ORCID: https://orcid.org/0000-0001-6872-5030)
- Amelia Au‐Yeung
- William O’Gorman (ORCID: https://orcid.org/0000-0003-0753-3355)
- Ahmet Kurdoglu
- Ana Xavier‐Magalhães (ORCID: https://orcid.org/0000-0001-8538-2818)
- Zora Modrušan (ORCID: https://orcid.org/0009-0003-5647-5195)
- Sean Lear
- Bing Wu (ORCID: https://orcid.org/0009-0002-7124-1074)
- Cynthia Chen (ORCID: https://orcid.org/0000-0003-4604-2241)
- Daniel D. Le (ORCID: https://orcid.org/0009-0008-1338-410X)
- Hari Menon
- Minyi Shi (ORCID: https://orcid.org/0000-0003-1616-8353)
- J. Lau
- Samir Vaidya
Institutions
- Genomic Health (United States) (US)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2024-12-16
- DOI
- https://doi.org/10.1093/nar/gkae1186
- Citations
- 24
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 5.61
Funders
- Genentech Foundation
- Genentech