Abstract

Here we present a compendium of single-cell transcriptomic data from the model organism Mus musculus that comprises more than 100,000 cells from 20 organs and tissues. These data represent a new resource for cell biology, reveal gene expression in poorly characterized cell populations and enable the direct and controlled comparison of gene expression in cell types that are shared between tissues, such as T lymphocytes and endothelial cells from different 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, whereas the other, full-length transcript analysis based on fluorescence-activated cell sorting, enabled the characterization of cell types with high sensitivity and coverage. The cumulative data provide the foundation for an atlas of transcriptomic cell biology.

Keywords

TranscriptomeBiologyCell sortingCellCell typeCell biologyComputational biologyGene expressionGeneGenetics

MeSH Terms

AnimalsCell BiologyEndothelial CellsFemaleFlow CytometryGene Expression ProfilingMaleMiceMiceInbred C57BLMicrofluidicsOrgan SpecificitySingle-Cell AnalysisT-LymphocytesTranscription FactorsTranscriptome

Related Publications

Publication Info

Year
2018
Type
article
Volume
562
Issue
7727
Pages
367-372
Citations
2962
Access
Closed

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Social media, news, blog, policy document mentions

Citation Metrics

2962
OpenAlex
66
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Cite This

The Tabula Muris Consortium, Overall coordination, Logistical coordination et al. (2018). Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris. Nature , 562 (7727) , 367-372. https://doi.org/10.1038/s41586-018-0590-4

Identifiers

DOI
10.1038/s41586-018-0590-4
PMID
30283141
PMCID
PMC6642641

Data Quality

Data completeness: 86%