Ezran, C. S. | Search bioRxiv

bioRxiv2022

Organism-wide mapping of MHC class I and II expression in mouse lemur cells and tissues

The major histocompatibility complex (MHC) class I and II glycoproteins have been associated with numerous disease phenotypes, mechanisms and outcomes. These associations can be due to allotypic polymorphism or to altered levels of allotype expression. Although well studied in a range of cell types and microenvironments, no study has encompassed all cell-types present in an individual mouse lemur. In this study the droplet-based single cell RNA sequence data from the mouse lemur cell atlas, Tabula Microcebus, were used to examine the patterns of MHC class I and II expression. The cell atlas comprises data obtained from 27 organs from four mouse lemurs, enabling comparison of expression pattern between both cell types and the individual lemurs. Patterns of gene expression showed a good concordance among the four mouse lemurs. Three primary patterns of expression were identified and associated with different cell-types. Mapping MHC expression onto existing cell trajectories of cell development and spatial gradients revealed fine scale differences in expression level and pattern in single tissues. The bioinformatic pipeline developed here is applicable to other cell atlas projects.

genetics↗

bioRxiv2021

Single-cell transcriptomics for the 99.9% of species without reference genomes

Single-cell RNA-seq (scRNA-seq) is a powerful tool for cell type identification but is not readily applicable to organisms without well-annotated reference genomes. Of the approximately 10 million animal species predicted to exist on Earth, >99.9% do not have any submitted genome assembly. To enable scRNA-seq for the vast majority of animals on the planet, here we introduce the concept of "k-mer homology," combining biochemical synonyms in degenerate protein alphabets with uniform data subsampling via MinHash into a pipeline called Kmermaid. Implementing this pipeline enables direct detection of similar cell types across species from transcriptomic data without the need for a reference genome. Underpinning Kmermaid is the tool Orpheum, a memory-efficient method for extracting high-confidence protein-coding sequences from RNA-seq data. After validating Kmermaid using datasets from human and mouse lung, we applied Kmermaid to the Chinese horseshoe bat (Rhinolophus sinicus), where we propagated cellular compartment labels at high fidelity. Our pipeline provides a high-throughput tool that enables analyses of transcriptomic data across divergent species transcriptomes in a genome- and gene annotation-agnostic manner. Thus, the combination of Kmermaid and Orpheum identifies cell type-specific sequences that may be missing from genome annotations and empowers molecular cellular phenotyping for novel model organisms and species.

bioinformatics↗