Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 70,230 bioRxiv papers from 306,634 authors.
Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects
Davis J. MacCarthy,
Julia K. Lau,
Stéphane C Boutet,
Robert C. Jones,
Lan T. Nguyen,
Joshua Z. Levin,
Lucas E. Wange,
Johannes W. Bagnoli,
Posted 13 May 2019
bioRxiv DOI: 10.1101/630087
Posted 13 May 2019
Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in-depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. We have generated benchmark datasets to systematically evaluate techniques in terms of their power to comprehensively describe cell types and states. We performed a multi-center study comparing 13 commonly used single-cell and single-nucleus RNA-seq protocols using a highly heterogeneous reference sample resource. Comparative and integrative analysis at cell type and state level revealed marked differences in protocol performance, highlighting a series of key features for cell atlas projects. These should be considered when defining guidelines and standards for international consortia, such as the Human Cell Atlas project.
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