PT - JOURNAL ARTICLE AU - Elisabetta Mereu AU - Atefeh Lafzi AU - Catia Moutinho AU - Christoph Ziegenhain AU - Davis J. MacCarthy AU - Adrian Alvarez AU - Eduard Batlle AU - Sagar AU - Dominic Grün AU - Julia K. Lau AU - Stéphane C. Boutet AU - Chad Sanada AU - Aik Ooi AU - Robert C. Jones AU - Kelly Kaihara AU - Chris Brampton AU - Yasha Talaga AU - Yohei Sasagawa AU - Kaori Tanaka AU - Tetsutaro Hayashi AU - Itoshi Nikaido AU - Cornelius Fischer AU - Sascha Sauer AU - Timo Trefzer AU - Christian Conrad AU - Xian Adiconis AU - Lan T. Nguyen AU - Aviv Regev AU - Joshua Z. Levin AU - Swati Parekh AU - Aleksandar Janjic AU - Lucas E. Wange AU - Johannes W. Bagnoli AU - Wolfgang Enard AU - Marta Gut AU - Rickard Sandberg AU - Ivo Gut AU - Oliver Stegle AU - Holger Heyn TI - Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects AID - 10.1101/630087 DP - 2019 Jan 01 TA - bioRxiv PG - 630087 4099 - http://biorxiv.org/content/early/2019/05/13/630087.short 4100 - http://biorxiv.org/content/early/2019/05/13/630087.full AB - 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.