Considerations for building and using integrated single-cell atlases

被引:0
|
作者
Karin Hrovatin [1 ]
Lisa Sikkema [2 ]
Vladimir A. Shitov [1 ]
Graham Heimberg [2 ]
Maiia Shulman [1 ]
Amanda J. Oliver [3 ]
Michaela F. Mueller [4 ]
Ignacio L. Ibarra [5 ]
Hanchen Wang [1 ]
Ciro Ramírez-Suástegui [2 ]
Peng He [6 ]
Anna C. Schaar [1 ]
Sarah A. Teichmann [1 ]
Fabian J. Theis [5 ]
Malte D. Luecken [7 ]
机构
[1] Helmholtz Zentrum München,Department of Computational Health, Institute of Computational Biology
[2] Technical University of Munich,TUM School of Life Sciences Weihenstephan
[3] Helmholtz Zentrum München; Member of the German Center for Lung Research (DZL),Comprehensive Pneumology Center (CPC) with the CPC
[4] Genentech,M bioArchive / Institute of Lung Health and Immunity (LHI)
[5] Genentech,Department of OMNI Bioinformatics
[6] Wellcome Genome Campus,Department of Biological Research | AI Development
[7] Stanford University,Wellcome Sanger Institute
[8] University of California,Department of Computer Science
[9] San Francisco,Department of Pathology
[10] Technical University of Munich,TUM School of Computation, Information and Technology
[11] University of Cambridge,Theory of Condensed Matter Group, Department of Physics, Cavendish Laboratory
[12] University of Cambridge,Cambridge Stem Cell Institute and Department of Medicine
[13] CIFAR MacMillan Multiscale Human Programme,Department of Mathematics
[14] Technical University of Munich,undefined
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D O I
10.1038/s41592-024-02532-y
中图分类号
学科分类号
摘要
The rapid adoption of single-cell technologies has created an opportunity to build single-cell ‘atlases’ integrating diverse datasets across many laboratories. Such atlases can serve as a reference for analyzing and interpreting current and future data. However, it has become apparent that atlasing approaches differ, and the impact of these differences are often unclear. Here we review the current atlasing literature and present considerations for building and using atlases. Importantly, we find that no one-size-fits-all protocol for atlas building exists, but rather we discuss context-specific considerations and workflows, including atlas conceptualization, data collection, curation and integration, atlas evaluation and atlas sharing. We further highlight the benefits of integrated atlases for analyses of new datasets and deriving biological insights beyond what is possible from individual datasets. Our overview of current practices and associated recommendations will improve the quality of atlases to come, facilitating the shift to a unified, reference-based understanding of single-cell biology.
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页码:41 / 57
页数:16
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