| Literature DB >> 33372656 |
Jeremy A Miller1, Nathan W Gouwens1, Bosiljka Tasic1, Forrest Collman1, Cindy Tj van Velthoven1, Trygve E Bakken1, Michael J Hawrylycz1, Hongkui Zeng1, Ed S Lein1, Amy Bernard1.
Abstract
The advancement of single-cell RNA-sequencing technologies has led to an explosion of cell type definitions across multiple organs and organisms. While standards for data and metadata intake are arising, organization of cell types has largely been left to individual investigators, resulting in widely varying nomenclature and limited alignment between taxonomies. To facilitate cross-dataset comparison, the Allen Institute created the common cell type nomenclature (CCN) for matching and tracking cell types across studies that is qualitatively similar to gene transcript management across different genome builds. The CCN can be readily applied to new or established taxonomies and was applied herein to diverse cell type datasets derived from multiple quantifiable modalities. The CCN facilitates assigning accurate yet flexible cell type names in the mammalian cortex as a step toward community-wide efforts to organize multi-source, data-driven information related to cell type taxonomies from any organism.Entities:
Keywords: RNA; cell type; human; mouse; neuroscience; nomenclature; standards; taxonomy; transcriptomics
Mesh:
Year: 2020 PMID: 33372656 PMCID: PMC7790494 DOI: 10.7554/eLife.59928
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140