Spatial transcriptomic analysis of the human retina reveals long-term molecular alterations following COVID‑19

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Authors: Vijay K. Jidigam
Cited by: 0

Abstract

This repository contains R scripts used to reproduce the analyses and figures presented in the associated manuscript. The code implements cross-platform validation of NanoString GeoMx DSP expression data against human retinal and RPE scRNA-seq datasets, layer-restricted deconvolution using non-negative least squares (NNLS), and downstream visualization and pathway analyses. Each script corresponds to a specific main or supplementary figure in the manuscript and is provided for transparency and reproducibility. This version (v1.0) reflects the analyses used in the submitted manuscript.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Retinal and Optic Conditions Retinal Development and Disorders

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 January 2026
Language
EN