Abstract
Retinal neovascularization is one of the leading causes of vision loss and a hallmark of proliferative diabetic retinopathy (PDR). The immune system is observed to be involved in the pathogenesis of diabetic retinopathy (DR). The specific immune cell type that contributes to retinal neovascularization can be identified via a bioinformatics analysis of RNA sequencing (RNA-seq) data, known as deconvolution analysis. Previous study has identified the infiltration of macrophages in the retina of rats with hypoxia-induced retinal neovascularization and patients with PDR through a deconvolution algorithm, known as CIBERSORTx. Here, we describe the protocols of using CIBERSORTx to perform the deconvolution analysis and downstream analysis of RNA-seq data.
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Acknowledgments
This work was supported by grants from the National Health and Medical Research Council of Australia (GNT1185600). The Centre for Eye Research Australia receives Operational Infrastructure Support from the Victorian Government.
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Teh, R.Q., Liu, GS., Wang, JH. (2023). Bioinformatics Tools for Bulk Gene Expression Deconvolution in Diabetic Retinopathy. In: Liu, GS., Wang, JH. (eds) Diabetic Retinopathy. Methods in Molecular Biology, vol 2678. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3255-0_7
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DOI: https://doi.org/10.1007/978-1-0716-3255-0_7
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