bioRxivNeurosciencePreprint
Human cortical expansion involves diversification and specialization of supragranular intratelencephalic-projecting neurons
Jim BergiD, Staci A. SorenseniD, Jonathan T. TingiD, Jeremy A. MilleriD, Thomas ChartrandiD, Anatoly BuchiniD, Trygve E. BakkeniD, Agata BudzilloiD, Nick DeeiD, Song‐Lin DingiD, Nathan W. GouwensiD, Rebecca D. HodgeiD, Brian E. KalmbachiD, Changkyu LeeiD, Brian LeeiD, Lauren AlfileriD, Katherine S. BakeriD, Eliza R. BarkaniD, Allison BelleriD, Kyla BerryiD, Darren BertagnolliiD, Kris BickleyiD, Jasmine BombeniD, Thomas BrauniD, Krissy BrouneriD, , Josef ŠulciD
Abstract
The neocortex is disproportionately expanded in human compared to mouse, both in its total volume relative to subcortical structures and in the proportion occupied by supragranular layers that selectively make connections within the cortex and other telencephalic structures. Single-cell transcriptomic analyses of human and mouse cortex show an increased diversity of glutamatergic neuron types in supragranular cortex in human and pronounced gradients as a function of cortical depth. To probe the functional and anatomical correlates of this transcriptomic diversity, we describe a robust Patch-seq platform using neurosurgically-resected human tissues. We characterize the morphological and physiological properties of five transcriptomically defined human glutamatergic supragranular neuron types. Three of these types have properties that are specialized compared to the more homogeneous properties of transcriptomically defined homologous mouse neuron types. The two remaining supragranular neuron types, located exclusively in deep layer 3, do not have clear mouse homologues in supragranular cortex but are transcriptionally most similar to deep layer mouse intratelencephalic-projecting neuron types. Furthermore, we reveal the transcriptomic types in deep layer 3 that express high levels of non-phosphorylated heavy chain neurofilament protein that label long-range neurons known to be selectively depleted in Alzheimers disease. Together, these results demonstrate the power of transcriptomic cell type classification, provide a mechanistic underpinning for increased complexity of cortical function in human cortical evolution, and implicate discrete transcriptomic cell types as selectively vulnerable in disease.
- organism: human
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 34
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