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Project

Cell Atlas of the Human Eye from Birth to Old Age


Focus Central Nervous System, Eye
Method Multiomics, Single Cell Transcriptomics, Spatial Proteomics

Project Summary

This team will use single cell and single nucleus RNA-sequencing, computational inference, and histological analysis to generate a comprehensive reference atlas of cell types in the human eye, incorporating data across the natural lifespan.


Results & Resources

This group generated a complete dataset of the front-most region of the eye, comprising the lens, iris, ciliary body, trabecular meshwork, corneas, and corneoscleral wedge. They published a protocol on cell dissociation from the trabecular meshwork and developed methods to integrate single-cell RNA-sequencing, in situ hybridization, and immunohistochemistry to improve cell type identification. Additionally, the team explored various disease groups using the retinal database ECLIPSER to analyze expression quantitative trait loci (eQTLs).


Investigators

Co-Principal Investigators
Tommaso Biancalani, PhD
Tommaso Biancalani, PhD
Gregory Hageman, PhD
Gregory Hageman, PhD

Dejan Juric, MD
Dejan Juric, MD
Joshua Sanes, PhD
Joshua Sanes, PhD

Ayellet Segre, PhD
Ayellet Segre, PhD
Tavé van Zyl, MD
Tavé van Zyl, MD

Karthik Shekhar, PhD
Karthik Shekhar, PhD
Collaborators
Aviv Regev, PhD
Aviv Regev, PhD