bioRxivNeurosciencePreprint
Inter-individual variation in human cortical cell type abundance and expression
Nelson JohanseniD, Saroja SomasundaramiD, Kyle J. TravagliniiD, Anna Marie YannyiD, Maya ShumyatcheriD, Tamara CasperiD, Charles CobbsiD, Nick DeeiD, Richard G. EllenbogeniD, Manuel Lima FerreiraiD, Jeff GoldyiD, Junitta GuzmaniD, Ryder P. GwinniD, Daniel HirschsteiniD, Nikolas L. JorstadiD, Christopher Dirk KeeneiD, Andrew Lin KoiD, Boaz P. LeviiD, Jeffrey G. OjemanniD, Thanh Thi Mai Pham, Nadiya V. ShapovalovaiD, Daniel L. SilbergeldiD, Josef ŠulciD, Amy TorkelsoniD, Herman TungiD, , Jeremy A. MilleriD
Abstract
Single cell transcriptomic studies have identified a conserved set of neocortical cell types from small post-mortem cohorts. We extend these efforts by assessing cell type variation across 75 adult individuals undergoing epilepsy and tumor surgeries. Nearly all nuclei map to one of 125 robust cell types identified in middle temporal gyrus, but with varied abundances and gene expression signatures across donors, particularly in deep layer glutamatergic neurons. A minority of variance is explainable by known factors including donor identity and small contributions from age, sex, ancestry, and disease state. Genomic variation was significantly associated with variable expression of 150-250 genes for most cell types. Thus, human individuals display a highly consistent cellular makeup, but with significant variation reflecting donor characteristics, disease condition, and genetic regulation. One-Sentence SummaryInter-individual variation in human cortex is greatest for deep layer excitatory neurons and largely unexplainable by known factors.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 5
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