Our Research in Print

Explore our lab’s work on retinal disease genetics and biology.

2026

  1. Translating multi-ancestry AMD-GWAS associations into biological function via integrative functional genomics. R Ratnapriya, A Singh, K Ma, P Koladiya. Investigative Ophthalmology & Visual Science 67(7), 5807 (2026).
  2. Robust Clustering Analysis of Genes Related to Age-related Macular Degeneration using RNA-Seq. B Gutierrez, R Ratnapriya, A Barman. arXiv preprint arXiv:2604.25986 (2026).
  3. Utilizing a culture system for horizontal cells to study neural circuit assembly in the developing mouse retina. RM Perez, YH Park, A Singh, C Todora, MF Mattos, D Becerril, et al. Frontiers in Cellular Neuroscience 20, 1691122 (2026).
  4. VISDB 2.0: A manually curated resource of viral integration sites and their regulatory maps in human diseases. C Citu, A Singh, X Liu, M Ashannagari, R Ratnapriya, Z Zhao. Scientific Data 13(1), 695 (2026).

2025

  1. A Graphical Method for Identifying Gene Clusters From RNA Sequencing Data. JR Patock, R Ratnapriya, A Barman. 2025 IEEE International Conference on Data Mining Workshops (ICDMW), 485-492 (2025).
  2. Generation of iPSCs (RFSCi007-A, RFSCi008-A) from a patient with early-onset bilateral drusen and a healthy sibling for retinal disease modeling. S Singh, W Runyon, S Hu, PG Kennedy, A Singh, R Ratnapriya, R Kumar, et al. Stem Cell Research, 103862 (2025).
  3. Derivation of pluripotent stem cell lines (RFSCi005-A, RFSCi006-A) from siblings harboring identical high-risk complement variants with discordant age-related macular degeneration. N Rajendran, A Singh, W Runyon, S Hu, R Kumar, R Ratnapriya, K Csaky, et al. Stem Cell Research, 103852 (2025).
  4. Molecular and genetic landscapes of retina and brain microglia in neurodegenerative diseases. K Ma, R Ratnapriya. Genome Research 35(10), 2143-2157 (2025). PMID: 40858363; PMCID: PMC12487699.
  5. Generation of induced pluripotent stem cell lines (RFSCi003-A, RFSCi004-A) from monozygotic twins discordant for age-related macular degeneration. N Rajendran, W Runyon, S Hu, A Singh, R Ratnapriya, R Kumar, K Csaky, et al. Stem Cell Research 87, 103768 (2025).
  6. Generation of human induced pluripotent stem cell lines from an age-related macular degeneration patient with hyperreflective foci overlying drusen (RFSCi002-A) and an …. A Ashrafi, W Runyon, S Hu, R Kumar, T Catchpole, A Singh, R Ratnapriya, et al. Stem Cell Research 86, 103715 (2025).
  7. Patient-Derived iPSC-RPE Models Reveal the Complexity of AMD with Drusen and Hyperreflective Foci. SR Sripathi, A Ashrafi, A Singh, S Dey, N Rajendran, S Singh, et al. Investigative Ophthalmology & Visual Science 66(8), 5314 (2025).
  8. Molecular and Genetic Landscapes of retina and brain microglia in Age-related Macular Degeneration. R Ratnapriya, K Ma. Investigative Ophthalmology & Visual Science 66(8), 1848 (2025).
  9. Integrating explainable machine learning and transcriptomics data reveals cell-type specific immune signatures underlying macular degeneration. K Ma, H Nakajima, N Basak, A Barman, R Ratnapriya. npj Genomic Medicine 10(1), 48 (2025).
  10. Functional genomics in age-related macular degeneration: From genetic associations to understanding disease mechanisms. R Ratnapriya, F Grassman, R Chen, A Hewitt, J Du, DR Saban, et al. Experimental Eye Research 254, 110344 (2025). PMID: 40089136; PMCID: PMC12048874.
  11. Integration of multiomic data identifies core-module of inherited-retinal diseases. A Singh, R Ratnapriya. Human Molecular Genetics 34(5), 454-465 (2025). PMID: 39797395.

2024

  1. First report of RNA editing in human retina—a process central to photoreceptor health, and a risk factor for both AMD and rarer macular degeneration. BRE Ansell, R Bonelli, SN Thomas, A Manda, R Ratnapriya, M Pinelli, et al. Investigative Ophthalmology & Visual Science 65(7), 3314 (2024).
  2. Cellular and molecular changes in retinal microglia contributes to neurodegeneration in AMD. R Ratnapriya, K Ma, A Barman. Investigative Ophthalmology & Visual Science 65(7), 403 (2024).
  3. QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration. J Advani, PA Mehta, AR Hamel, S Mehrotra, C Kiel, T Strunz, et al. Nature Communications 15(1), 1972 (2024).
  4. Whole genome sequencing of 4,787 individuals identifies gene-based rare variants in age-related macular degeneration. A Kwong, M Zawistowski, LG Fritsche, X Zhan, J Bragg-Gresham, et al. Human Molecular Genetics 33(4), 374-385 (2024).
  5. The role of gene expression regulation on genetic risk of age-related macular degeneration. R Ratnapriya. Retinal Degenerative Diseases XIX: Mechanisms and Experimental Therapy, 61-66 (2024).

2023

  1. The retinal RNA editome is concentrated in photoreceptor-specific genes and genetically linked to vision loss. BRE Ansell, R Bonelli, SN Thomas, A Manda, R Ratnapriya, M Pinelli, et al. bioRxiv (2023).
  2. Machine learning approaches to identify genes related to Age-related Macular Degeneration. R Ratnapriya, K Ma, A Barman. Investigative Ophthalmology & Visual Science 64(8), 1855 (2023).

2022

  1. Artificial neural network-based classification of Age-related Macular Degeneration using gene expression profiles. R Ratnapriya, H Nakajima, D Christl. Investigative Ophthalmology & Visual Science 63(7), 1175–A0029 (2022).

For more publications, visit NCBI or Google Scholar.