ReviewFrontiers in cell and developmental biology2020
New Technologies to Study Functional Genomics of Age-Related Macular Degeneration.
Review in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Molecular mechanisms and intervention strategies for age-related macular degeneration.International journal of ophthalmology · 2026Review
- Age-Related RPE changes in Wildtype C57BL/6J Mice between 2 and 32 Months.bioRxiv : the preprint server for biology · 2024Article
- Knockout of AMD-associated geneAging · 2023Article
- Development of a CRISPRi Human Retinal Pigmented Epithelium Model for Functional Study of Age-Related Macular Degeneration Genes.International journal of molecular sciences · 2023Article
- Proteotranscriptomic analyses reveal distinct interferon-beta signaling pathways and therapeutic targets in choroidal neovascularization.Frontiers in immunology · 2023Article
- Novel Epigenetic Clock Biomarkers of Age-Related Macular Degeneration.Frontiers in medicine · 2022Article
- Generation and Staging of Human Retinal Organoids Based on Self-Formed Ectodermal Autonomous Multi-Zone System.Frontiers in cell and developmental biology · 2021Article
- Methods forFrontiers in cell and developmental biology · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Age-related macular degeneration (AMD) is the most common cause of irreversible vision loss in people over 50 years old in developed countries. Currently, we still lack a comprehensive understanding of the genetic factors contributing to AMD, which is critical to identify effective therapeutic targets to improve treatment outcomes for AMD patients. Here we discuss the latest technologies that can facilitate the identification and functional study of putative genes in AMD pathology. We review improved genomic methods to identify novel AMD genes, advances in single cell transcriptomics to profile gene expression in specific retinal cell types, and summarize recent development of
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