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Transcriptomic characterization of 20 organs and tissues from mouse at single cell resolution creates a Tabula Muris

The Tabula Muris Consortium, Stephen R. Quake, Tony Wyss-Coray, Spyros Darmanis
doi: https://doi.org/10.1101/237446
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Stephen R. Quake
Stanford University and Chan Zuckerberg Biohub;
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Tony Wyss-Coray
Stanford University;
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Spyros Darmanis
Chan Zuckerberg Biohub
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  • For correspondence: spyros.darmanis@czbiohub.org
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Abstract

We have created a compendium of single cell transcriptome data from the model organism Mus musculus comprising nearly 100,000 cells from 20 organs and tissues. These data reveal many new aspects of cell biology, including gene expression in poorly characterized cell populations and the characterization of new populations of cells in many tissues. Furthermore, they allow for direct and controlled comparison of gene expression in cell types shared between tissues, such as immune cells from distinct anatomical locations. Two distinct technical approaches were used for most organs: one approach, microfluidic droplet-based 3-end counting, enabled the survey of thousands of cells at relatively low coverage, while the other, FACS-based full length transcript analysis, enabled characterization of cell types with high sensitivity and coverage. The cumulative resource provides the foundation for a comprehensive resource of transcriptomic cell biology.

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Posted December 20, 2017.
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Transcriptomic characterization of 20 organs and tissues from mouse at single cell resolution creates a Tabula Muris
The Tabula Muris Consortium, Stephen R. Quake, Tony Wyss-Coray, Spyros Darmanis
bioRxiv 237446; doi: https://doi.org/10.1101/237446
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Transcriptomic characterization of 20 organs and tissues from mouse at single cell resolution creates a Tabula Muris
The Tabula Muris Consortium, Stephen R. Quake, Tony Wyss-Coray, Spyros Darmanis
bioRxiv 237446; doi: https://doi.org/10.1101/237446

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