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).
Tommaso Biancalani, PhD
Broad Institute of MIT and Harvard
Gregory Hageman, PhD
University of Utah
Dejan Juric, MD
Massachusetts General Hospital, Harvard Medical School
Broad Institute of MIT and Harvard, Howard Hughes Medical Institute