Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris.

Tabula Muris Consortium, Overall coordination, Logistical coordination, Organ collection and processing, Library preparation and sequencing, Computational data analysis, Cell type annotation, Writing group, Supplemental text writing group, Principal investigators
Author Information

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.

References

  1. Phys Rev Lett. 2001 Apr 30;86(18):4163-6 [PMID: 11328121]
  2. Hum Immunol. 2004 Apr;65(4):282-90 [PMID: 15120183]
  3. BMC Bioinformatics. 2006 Jan 06;7:3 [PMID: 16398926]
  4. Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Jul;74(1 Pt 2):016110 [PMID: 16907154]
  5. Dev Cell. 2010 Apr 20;18(4):675-85 [PMID: 20412781]
  6. Nat Biotechnol. 2011 Nov 13;29(12):1120-7 [PMID: 22081019]
  7. Nat Biotechnol. 2012 Aug;30(8):777-82 [PMID: 22820318]
  8. Nat Methods. 2014 Jan;11(1):41-6 [PMID: 24141493]
  9. Nature. 2014 May 15;509(7500):371-5 [PMID: 24739965]
  10. Nat Neurosci. 2015 Jan;18(1):145-53 [PMID: 25420068]
  11. Science. 2015 Mar 6;347(6226):1138-42 [PMID: 25700174]
  12. Cell. 2015 May 21;161(5):1187-1201 [PMID: 26000487]
  13. Cell. 2015 May 21;161(5):1202-1214 [PMID: 26000488]
  14. Proc Natl Acad Sci U S A. 2015 Jun 9;112(23):7285-90 [PMID: 26060301]
  15. Cell Rep. 2016 Jul 26;16(4):1126-1137 [PMID: 27425622]
  16. Nature. 2017 Feb 16;542(7641):352-356 [PMID: 28166538]
  17. Science. 2017 Apr 21;356(6335): [PMID: 28428369]
  18. Science. 2017 Aug 18;357(6352):661-667 [PMID: 28818938]
  19. Nat Methods. 2017 Sep 29;14(10):935-936 [PMID: 28960196]
  20. Cell. 2017 Oct 5;171(2):321-330.e14 [PMID: 28965763]
  21. Nature. 2017 Nov 2;551(7678):100-104 [PMID: 29072293]
  22. Cell Rep. 2017 Oct 31;21(5):1399-1410 [PMID: 29091775]
  23. Nature. 2017 Nov 16;551(7680):333-339 [PMID: 29144463]
  24. Cell. 2017 Nov 16;171(5):1206-1220.e22 [PMID: 29149607]
  25. BMC Bioinformatics. 2017 Dec 21;18(Suppl 17):559 [PMID: 29322913]
  26. Cell. 2018 Feb 22;172(5):1091-1107.e17 [PMID: 29474909]
  27. Nature. 2018 Apr 5;556(7699):108-112 [PMID: 29590089]

Grants

  1. R01 DC016892/NIDCD NIH HHS
  2. DP1 LM012179/NLM NIH HHS
  3. P01 AG036695/NIA NIH HHS
  4. DP1 AG053015/NIA NIH HHS
  5. K08 DK101603/NIDDK NIH HHS
  6. I01 RX001222/RRD VA
  7. P30 DK116074/NIDDK NIH HHS
  8. P30 DK026743/NIDDK NIH HHS
  9. R01 CA157877/NCI NIH HHS
  10. I01 BX002324/BLRD VA
  11. R00 HL127267/NHLBI NIH HHS

MeSH Term

Animals
Cell Biology
Endothelial Cells
Female
Flow Cytometry
Gene Expression Profiling
Male
Mice
Mice, Inbred C57BL
Microfluidics
Organ Specificity
Single-Cell Analysis
T-Lymphocytes
Transcription Factors
Transcriptome

Chemicals

Transcription Factors