Fischer, Stephan, Gillis, Jesse (November 2021) How many markers are needed to robustly determine a cell's type? iScience, 24 (11). p. 103292. ISSN 2589-0042
![]() |
PDF
2021.Fischer.Cell_type.pdf Available under License Creative Commons Attribution. Download (3MB) |
Abstract
Our understanding of cell types has advanced considerably with the publication of single-cell atlases. Marker genes play an essential role for experimental validation and computational analyses such as physiological characterization, annotation, and deconvolution. However, a framework for quantifying marker replicability and selecting replicable markers is currently lacking. Here, using high-quality data from the Brain Initiative Cell Census Network (BICCN), we systematically investigate marker replicability for 85 neuronal cell types. We show that, due to dataset-specific noise, we need to combine 5 datasets to obtain robust differentially expressed (DE) genes, particularly for rare populations and lowly expressed genes. We estimate that 10 to 200 meta-analytic markers provide optimal downstream performance and make available replicable marker lists for the 85 BICCN cell types. Replicable marker lists condense interpretable and generalizable information about cell types, opening avenues for downstream applications, including cell type annotation, selection of gene panels, and bulk data deconvolution.
Item Type: | Paper |
---|---|
Subjects: | Investigative techniques and equipment > brain atlas organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons Investigative techniques and equipment > assays > Single cell sequencing |
CSHL Authors: | |
Communities: | CSHL labs > Gillis Lab |
SWORD Depositor: | CSHL Elements |
Depositing User: | CSHL Elements |
Date: | 19 November 2021 |
Date Deposited: | 17 Nov 2021 15:53 |
Last Modified: | 17 Nov 2021 15:53 |
PMCID: | PMC8571500 |
URI: | https://repository.cshl.edu/id/eprint/40421 |
Actions (login required)
![]() |
Administrator's edit/view item |