TY - JOUR
T1 - Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris
AU - Principal investigators
AU - The Tabula Muris Consortium
AU - Overall coordination
AU - Logistical coordination
AU - Organ collection and processing
AU - Library preparation and sequencing
AU - Computational data analysis
AU - Cell type annotation
AU - Writing group
AU - Supplemental text writing group
AU - Schaum, Nicholas
AU - Karkanias, Jim
AU - Neff, Norma F.
AU - May, Andrew P.
AU - Quake, Stephen R.
AU - Wyss-Coray, Tony
AU - Darmanis, Spyros
AU - Batson, Joshua
AU - Botvinnik, Olga
AU - Chen, Michelle B.
AU - Chen, Steven
AU - Green, Foad
AU - Jones, Robert C.
AU - Maynard, Ashley
AU - Penland, Lolita
AU - Pisco, Angela Oliveira
AU - Sit, Rene V.
AU - Stanley, Geoffrey M.
AU - Webber, James T.
AU - Zanini, Fabio
AU - Baghel, Ankit S.
AU - Bakerman, Isaac
AU - Bansal, Ishita
AU - Berdnik, Daniela
AU - Bilen, Biter
AU - Brownfield, Douglas
AU - Cain, Corey
AU - Cho, Min
AU - Cirolia, Giana
AU - Conley, Stephanie D.
AU - Demers, Aaron
AU - Demir, Kubilay
AU - de Morree, Antoine
AU - Divita, Tessa
AU - du Bois, Haley
AU - Dulgeroff, Laughing Bear Torrez
AU - Ebadi, Hamid
AU - Espinoza, F. Hernán
AU - Fish, Matt
AU - Gan, Qiang
AU - George, Benson M.
AU - Gillich, Astrid
AU - Genetiano, Geraldine
AU - Gu, Xueying
AU - Gulati, Gunsagar S.
AU - Hang, Yan
AU - Hosseinzadeh, Shayan
AU - Huang, Albin
AU - Iram, Tal
AU - Isobe, Taichi
N1 - Publisher Copyright:
© 2018, Springer Nature Limited.
PY - 2018/10/18
Y1 - 2018/10/18
N2 - 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.
AB - 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.
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U2 - 10.1038/s41586-018-0590-4
DO - 10.1038/s41586-018-0590-4
M3 - Article
C2 - 30283141
AN - SCOPUS:85055080981
SN - 0028-0836
VL - 562
SP - 367
EP - 372
JO - Nature
JF - Nature
IS - 7727
ER -