The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals1. Here, using high-throughput transcriptomic and epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys and mice, we demonstrate a broadly conserved cellular makeup of this region, with similarities that mirror evolutionary distance and are consistent between the transcriptome and epigenome. The core conserved molecular identities of neuronal and non-neuronal cell types allow us to generate a cross-species consensus classification of cell types, and to infer conserved properties of cell types across species. Despite the overall conservation, however, many species-dependent specializations are apparent, including differences in cell-type proportions, gene expression, DNA methylation and chromatin state. Few cell-type marker genes are conserved across species, revealing a short list of candidate genes and regulatory mechanisms that are responsible for conserved features of homologous cell types, such as the GABAergic chandelier cells. This consensus transcriptomic classification allows us to use patch–seq (a combination of whole-cell patch-clamp recordings, RNA sequencing and morphological characterization) to identify corticospinal Betz cells from layer 5 in non-human primates and humans, and to characterize their highly specialized physiology and anatomy. These findings highlight the robust molecular underpinnings of cell-type diversity in M1 across mammals, and point to the genes and regulatory pathways responsible for the functional identity of cell types and their species-specific adaptations.
23The primary motor cortex (M1) is essential for voluntary fine motor control and is functionally conserved 24 across mammals. Using high-throughput transcriptomic and epigenomic profiling of over 450,000 single 25 nuclei in human, marmoset monkey, and mouse, we demonstrate a broadly conserved cellular makeup 26 of this region, whose similarity mirrors evolutionary distance and is consistent between the 27 transcriptome and epigenome. The core conserved molecular identity of neuronal and non-neuronal 28 types allowed the generation of a cross-species consensus cell type classification and inference of 29 conserved cell type properties across species. Despite overall conservation, many species 30 specializations were apparent, including differences in cell type proportions, gene expression, DNA 31 methylation, and chromatin state. Few cell type marker genes were conserved across species, 32 providing a short list of candidate genes and regulatory mechanisms responsible for conserved features 33 of homologous cell types, such as the GABAergic chandelier cells. This consensus transcriptomic 34 classification allowed the Patch-seq identification of layer 5 (L5) corticospinal Betz cells in non-human 35 primate and human and characterization of their highly specialized physiology and anatomy. These 36 findings highlight the robust molecular underpinnings of cell type diversity in M1 across mammals and 37 point to the genes and regulatory pathways responsible for the functional identity of cell types and their 38 species-specific adaptations. 39 40 distinguished on the basis of regions of open chromatin or DNA methylation 5,9,10 . Furthermore, several 48 recent studies have shown that transcriptomically-defined cell types can be aligned across species 2,11-49 13 , indicating that these methods provide a path to quantitatively study evolutionary conservation and 50 divergence at the level of cell types. However, application of these methods has been highly 51 fragmented to date. Human and mouse comparisons have been performed in different cortical regions, 52 using single-cell (with biases in cell proportions) versus single-nucleus (with biases in transcript 53 makeup) analysis, and most single-cell transcriptomic and epigenomic studies have been performed 54 independently. 55 56The primary motor cortex (MOp in mouse, M1 in human and non-human primates, all referred to as M1 57 herein) provides an ideal cortical region to address questions about cellular evolution in rodents and 58 primates by integrating these approaches. Unlike the primary visual cortex (V1), which is highly 59 specialized in primates, or frontal and temporal association areas, whose homologues in rodents 60 remain poorly defined, M1 is essential for fine motor control and is functionally conserved across 61 placental mammals. M1 is an agranular cortex, lacking a defined L4, although neurons with L4-like 62properties have been described 14 . L5 of carnivore and primate M1 contains exceptionally large 63 "giganto-cellular" corticospinal neurons (Betz c...
BackgroundSingle cell transcriptomics is critical for understanding cellular heterogeneity and identification of novel cell types. Leveraging the recent advances in single cell RNA sequencing (scRNA-Seq) technology requires novel unsupervised clustering algorithms that are robust to high levels of technical and biological noise and scale to datasets of millions of cells.ResultsWe present novel computational approaches for clustering scRNA-seq data based on the Term Frequency - Inverse Document Frequency (TF-IDF) transformation that has been successfully used in the field of text analysis.ConclusionsEmpirical experimental results show that TF-IDF methods consistently outperform commonly used scRNA-Seq clustering approaches.
High-affinity MHC I-peptide interactions are considered essential for immunogenicity. However, some neo-epitopes with low affinity for MHC I have been reported to elicit CD8 T cell dependent tumor rejection in immunization-challenge studies. Here we show in a mouse model that a neo-epitope that poorly binds to MHC I is able to enhance the immunogenicity of a tumor in the absence of immunization. Fibrosarcoma cells with a naturally occurring mutation are edited to their wild type counterpart; the mutation is then re-introduced in order to obtain a cell line that is genetically identical to the wild type except for the neo-epitope-encoding mutation. Upon transplantation into syngeneic mice, all three cell lines form tumors that are infiltrated with activated T cells. However, lymphocytes from the two tumors that harbor the mutation show significantly stronger transcriptional signatures of cytotoxicity and TCR engagement, and induce greater breadth of TCR reactivity than those of the wild type tumors. Structural modeling of the neo-epitope peptide/MHC I pairs suggests increased hydrophobicity of the neo-epitope surface, consistent with higher TCR reactivity. These results confirm the in vivo immunogenicity of low affinity or ‘non-binding’ epitopes that do not follow the canonical concept of MHC I-peptide recognition.
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