CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical Development
Aug 18, 2024ยท
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An Wang ็ๅฎ
Lanlan Ji
Shreyash Sonthalia
Daniel Naiman
Laurent Younes
Carlo Colantuoni
Donald Geman

Abstract
Definition of cell classes across the tissues of living organisms is central in the analysis of growing atlases of single-cell RNA sequencing (scRNA-seq) data across biomedicine. Marker genes for cell classes are most often defined by differential expression (DE) methods that serially assess individual genes across landscapes of diverse cells. This serial approach has been extremely useful, but is limited because it ignores possible redundancy or complementarity across genes that can only be captured by analyzing multiple genes simultaneously. We aim to identify discriminating panels of genes. To efficiently explore the vast space of possible marker panels, leverage the large number of cells often sequenced, and overcome zero-inflation in scRNA-seq data, we propose viewing gene panel selection as a variation of the minimal set-covering problem in combinatorial optimization. We show that this new method, CellCover, performs as good or better than DE and other methods in defining cell-type discriminating gene panels, but captures cell class-specific signals that are distinct from those defined by DE methods. Transfer learning experiments across mouse, primate, and human data demonstrate that CellCover identifies markers of conserved cell classes in neurogenesis, as well as developmental progression in both progenitors and neurons. Exploring markers of human outer radial glia (oRG, or basal RG) across mammals, we show that transcriptomic elements of this key cell type in the expansion of the human cortex appeared in gliogenic precursors of the rodent before the full program emerged in neurogenic cells of the primate lineage. We have assembled the public datasets we use in this report within the NeMO analytics multi-omic data exploration environment, where the expression of individual genes (NeMO Individual Genes) and marker gene panels can be freely explored at NeMO: Telley 3 Sets Covering Panels, NeMO: Telley 12 Sets Covering Panels, and NeMO: Sorted Brain Cell Covering Panels.
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