Camille Ezran

The paper identifies and characterizes quiescent stem cells in a non-human primate, showing their in vivo self-renewal and similarity to human cells.

This study characterizes peripheral glia in the lung and other organs using scRNA-seq, identifying molecularly distinct populations and conserved gene expression across species.

This paper uses a mouse lemur transcriptomic atlas to identify new genes, splice junctions, and disease-related features, highlighting their relevance to primate biology and human disease.

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

Nearly 500,000 cells from 24 human tissues, many from one donor, characterize over 400 cell types and enable within-donor study of T-cell clones, B-cell mutation rates and splicing.

FIRM integrates heterogeneous scRNA-seq datasets across tissues and platforms, accurately preserving cell type identities and structure.

This study maps MHC class I and II expression across all cell types in mouse lemurs using single-cell RNA sequencing data from the Tabula Microcebus atlas, identifying three expression patterns and their association with cell types.

The paper creates an organism-wide hormone signaling atlas in mouse lemurs, identifying hormone-producing and -target cells and revealing species-specific rewiring and conservation compared to humans and mice.

The paper creates a comprehensive cell atlas of mouse lemurs using single-cell RNA sequencing, identifying over 750 cell types and comparing their molecular profiles to humans, mice, and macaques.

This paper introduces Kmermaid and Orpheum to enable scRNA-seq analysis in species without reference genomes by detecting cell type-specific sequences without gene annotations.

On patterned flow cells using exclusion amplification, up to 5-10% of reads are credited to the wrong sample in a pool, traced to free index primers surviving library cleanup.