TY - JOUR
T1 - Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris.
AU - Consortium, Tabula Muris
AU - coordination, Overall
AU - coordination, Logistical
AU - processing, Organ collection and
AU - sequencing, Library preparation and
AU - analysis, Computational data
AU - annotation, Cell type
AU - group, Writing
AU - group, Supplemental text writing
AU - investigators, Principal
AU - Peng, Weng Chuan
N1 - Publisher Copyright:
© 2018, Springer Nature Limited.
PY - 2018
Y1 - 2018
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.
UR - http://www.nature.com/articles/s41586-018-0590-4
papers3://publication/doi/10.1038/s41586-018-0590-4
UR - https://www.mendeley.com/catalogue/b311bfe2-d8a2-377f-8cf9-a577c5ea6b4d/
U2 - 10.1038/s41586-018-0590-4
DO - 10.1038/s41586-018-0590-4
M3 - Article
SN - 0028-0836
VL - 562
SP - 367
EP - 372
JO - Nature
JF - Nature
IS - 7727
ER -