Joshua R. Sanes

The paper reconstructs the evolutionary origins of retinal amacrine cell diversity using transcriptomic data from 24 vertebrate species, identifying 42 orthologous cell types and suggesting a hybrid precursor origin.

The paper compares retinal cell composition and visual coding between diurnal and nocturnal mice to show how evolutionary changes in cell types reconfigure visual information processing.

The paper generates a large-scale single-cell RNA-seq dataset of the mouse retina and integrates it with public data to create a comprehensive cell atlas.

The paper identifies two rod bipolar cell types in zebrafish that are related to mammalian rod bipolar cells, suggesting the primary rod pathway evolved over 400 million years ago.

This study profiles marmoset foveal and peripheral retinal cells across development, revealing conserved cell types and distinct molecular maturation paths.

The paper integrates single-cell transcriptomic data from 17 vertebrate species to study the evolution of retinal cell types, finding conserved cell classes and subclasses with variation increasing from outer to inner retina.

This study identifies DNMT3a as a key inhibitor of optic nerve regeneration in adult mice and shows that its suppression restores vision after injury.

The paper creates a comprehensive human retina cell atlas using single-cell multi-omics data, revealing over 110 cell types and their gene regulatory networks, and enables fine-mapping of GWAS and eQTL variants.

The paper shows that hippocampal neurogenesis remodeling causes forgetting by altering engram accessibility, using genetic and optogenetic manipulations in mice.

This study uses scRNA-seq to analyze molecular maturation of mouse retinal ganglion cells, showing visual activity is not required for type identity but is needed for full maturation.

The paper identifies four ATF/CEBP transcription factors that drive injury-induced neurodegeneration of retinal ganglion cells and shows their role in glaucoma.

The paper identifies transcriptional programs that enhance survival and axon regeneration of injured retinal ganglion cells using single-cell transcriptomics and computational analysis.

This study uses single-cell RNA-seq to show that mouse retinal ganglion cell precursors diversify into discrete types through gradual fate restriction after mitosis.

The paper classifies mouse retinal ganglion cells into 42 types using functional, morphological, and transcriptomic data and provides an online database for classification.

The paper classifies zebrafish retinal ganglion cells using single-cell transcriptomics, identifies marker genes, and links molecular profiles to functional behaviors.

The paper generates a chick retina cell atlas using scRNA-seq, identifying 136 cell types and analyzing their molecular and spatial organization.

The paper uses scRNA-seq to analyze 85,000 retinal cells from humans, identifies 58 cell types, and compares gene expression between fovea, peripheral retina, and macaques to study blinding diseases.

This paper identifies 63 amacrine cell types in the mouse retina using scRNA-seq and provides molecular markers, neurotransmitter profiles, and transcription factors for each type.

The paper identifies neuroprotective genes in retinal ganglion cells by analyzing their resilience to injury using single-cell RNA-seq and functional assays.

The paper classifies and compares cell types in primate fovea and peripheral retina using single-cell RNA-seq, finding conserved and divergent features across species and regions.

The paper maps transgene insertion sites in mice and shows that transgene integration affects neighboring endogenous gene expression.

The paper introduces RANbodies, nanobody-reporter fusions that enable sensitive and scalable detection of molecules in cells and tissues.