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ATAC-Seq analysis reveals a widespread decrease of chromatin accessibility in age-related macular degeneration
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Abstract
Age-related macular degeneration (AMD) is a significant cause of vision loss in the elderly. The extent to which epigenetic changes regulate AMD progression is unclear. Here we globally profile chromatin accessibility using ATAC-Seq in the retina and retinal pigmented epithelium (RPE) from AMD and control patients. Global decreases in chromatin accessibility occur in the RPE with early AMD, and in the retina of advanced disease, suggesting that dysfunction in the RPE drives disease onset. Footprints of photoreceptor and RPE-specific transcription factors are enriched in differentially accessible regions (DARs). Genes associated with DARs show altered expression in AMD. Cigarette smoke treatment of RPE cells recapitulates chromatin accessibility changes seen in AMD, providing an epigenetic link between a known risk factor for AMD and AMD pathology. Finally, overexpression of HDAC11 is partially responsible for the observed reduction in chromatin accessibility, suggesting that HDAC11 may be a potential new therapeutic target for AMD.
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“which aligns with the conclusion that chromatin accessibility alterations occur in age-related macular degeneration54.”
From Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data (2025) · cites this paper as [54]
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Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
Trapnell, C., Roberts, A., Goff, L. A., Pertea, G. M., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 12,145
Circos: An information aesthetic for comparative genomicsPreprint
Krzywinski, M. I., Schein, J. E., Birol, İ., Connors, J. M., Gascoyne, R. D., Horsman, D. E., Jones, S. J. M., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.092759.109 · Cited by 11,073
Research works printed but not linked: 1
- Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y. & Greenleaf, W. J. Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics. Nat. Methods 10, 1213 (2013). · DOI · Paper page
Cited by
Sorted by citations
Items 101–190 of 190
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Lai, S., Du, K., Shi, Y., Cao, L., Wang, G., Hu, S., Jia, X., Wang, J., & Chen, S. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s264830 · Cited by 9
Self-citationRNA-sequencing in ophthalmology research: considerations for experimental design and analysis
Owen, N., & Moosajee, M. (2019) · Therapeutic Advances in Ophthalmology · doi:10.1177/2515841419835460 · Cited by 9
Lee, J., Han, M., Wang, K., Butler, L. R., & Sinclair, D. A. (2026) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2026.101442 · Cited by 7
Shang, P., Stepicheva, N. A., Liu, H., Chowdhury, O., Franks, J. M., Sun, M., Hose, S., Ghosh, S., Yazdankhah, M., Strizhakova, A., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111979 · Cited by 8
Self-citationSmall Extracellular Vesicle-Associated MiRNAs in Polarized Retinal Pigmented Epithelium
Hernandez, B. J., Strain, M., Suarez, M. F., Stamer, W. D., Ashley‐Koch, A. E., Liu, Y., Klingeborn, M., & Rickman, C. B. (2024) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.65.13.57 · Cited by 9
Biophysical model for joint analysis of chromatin and RNA sequencing data
Felce, C., Gorin, G., & Pachter, L. S. (2024) · Physical review. E · doi:10.1103/physreve.110.064405 · Cited by 7
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Farkas, M. H., & DeAngelis, M. M. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-66014-7_9 · Cited by 7
Cantarella, S., Vezzoli, M., Carnevali, D., Morselli, M., Zemke, N. R., Montanini, B., Daussy, C. F., Wodrich, H., Teichmann, M., Pellegrini, M. A., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae615 · Cited by 6
Aqueous Fluid Transcriptome Profiling Differentiates Between Non-Neovascular and Neovascular AMD
Kaidonis, G., Lamy, R., Wu, J. H., Yang, D., Psaras, C., Doan, T. A., & Stewart, J. M. (2023) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.64.10.26 · Cited by 6
Ratnapriya, R., Grassman, F., Chen, R., Hewitt, A. W., Du, J., Saban, D. R., Klaver, C. C. W., Ash, J. D., Stambolian, D., Tumminia, S. J., et al. (2025) · Experimental Eye Research · doi:10.1016/j.exer.2025.110344 · Cited by 6
Self-citationZibetti, C. (2022) · Cells · doi:10.3390/cells11050806 · Cited by 6
Self-citationLamin A upregulation reorganizes the genome during rod photoreceptor degeneration
Herrera, I., Fernandes, J. A. L., Shir-Mohammadi, K., Levesque, J., & Mattar, P. A. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-06224-x · Cited by 5
Combustion conditions influence toxicity of flame-generated soot to ocular (ARPE-19) cells.
Mitroo, D., Das, D. N., Hamilton, P. D., Kumfer, B. M., & Ravi, N. (2024) · Environmental Pollution · doi:10.1016/j.envpol.2024.123307 · Cited by 5
Luo, T.-Y., Li, C., Zhou, L., Sun, H., & Yang, M. M. (2025) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.66.5.30 · Cited by 5
Feasibility in MacArthur’s consumer-resource model
Aparicio, A., Wang, T., Saavedra, S., & Liu, Y. (2023) · Theoretical Ecology · doi:10.1007/s12080-023-00566-0 · Cited by 5
End binding-3 inhibitor activates regenerative program in age-related macular degeneration
Lee, Q. S., Chan, W. C., Qu, X., Sun, Y., Abdelkarim, H., Le, J., Saqib, U., Sun, M., Kruse, K. J., Banerjee, A., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101223 · Cited by 5
Martin, A., Kawaguchi, R., Wang, Q., Salusky, I. B., Pereira, R. C., & Wesseling‐Perry, K. (2024) · JBMR Plus · doi:10.1093/jbmrpl/ziad015 · Cited by 5
Zhang, Y., Liang, C., Xu, H., Li, Y., Xia, K., Wang, L., Huang, X., Chen, J., Shu, J., Cheng, F., et al. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.06.018 · Cited by 6
Self-citationVerkest, A., Bourout, S., Debaveye, J., Reynaert, K., Saey, B., den Brande, I. V., & D’Halluin, K. (2018) · Plant Biotechnology Journal · doi:10.1111/pbi.13049 · Cited by 5
Optimized functional annotation of ChIP-seq data
Khomtchouk, B. B., Koehler, W. C., Booven, D. J. V., & Wahlestedt, C. (2019) · F1000Research · doi:10.12688/f1000research.18966.1 · Cited by 5
Roy, A., Hilhorst, R., Groten, J. P., Paquet‐Durand, F., & Tomar, T. (2021) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2021.07.002 · Cited by 5
Assessing chromatin accessibility in maize using ATAC-seqPreprint
Lee, Y.-J., Chang, P. P.-C., Lu, R. J.-H., Chen, P., & Wang, R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/526079 · Cited by 5
Su, D., Peters, M. A., Soltys, V., & Chan, Y. F. (2025) · BMC Genomics · doi:10.1186/s12864-025-11442-y · Cited by 5
Alfano, V., Pascucci, G. R., Corleone, G., Cocca, M., Nicola, F. D., Floriot, O., Paturel, A., di Tocco, F. C., de Fromentel, C. C., Merle, P., et al. (2025) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-025-03414-7 · Cited by 4
Chatterjee, S., Ghosh, S., Sin, Z., Babu, V. S., Preval, L. V., Davis, E., Tran, N., Bammidi, S., Gautam, P., Hose, S., et al. (2025) · Aging Cell · doi:10.1111/acel.70163 · Cited by 4
Self-citationWang, S. K., Li, J., Nair, S., Kosaraju, R., Chen, Y., Zhang, Y., Kundaje, A. B., Liu, Y., Wang, N., & Chang, H. Y. (2026) · Cell Reports · doi:10.1016/j.celrep.2025.116814 · Cited by 7
Epigenomics in tobacco risk assessment: Opportunities for integrated new approaches
Choukrallah, M.-A., Sewer, A., Talikka, M., Sierro, N., Peitsch, M. C., Hoeng, J., & Ivanov, N. V. (2018) · Current Opinion in Toxicology · doi:10.1016/j.cotox.2019.01.001 · Cited by 4
Protective effects of CRTH2 suppression in dry age-related macular degeneration
Xie, R., Wang, B., Zuo, S., Du, M., Wang, X., Yu, Y., & Yan, H. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.07.003 · Cited by 4
Merrill, C. B., Titos, I., Pabon, M. A., Montgomery, A., Rodan, A. R., & Rothenfluh, A. (2024) · Science Advances · doi:10.1126/sciadv.adi4393 · Cited by 4
Cigarette smoke and biological age induce degenerative heterogeneity in retinal pigment epitheliumPreprint
Singh, K., Jin, Y. O., Hu, M.-W., Palazzo, I., Cano, M., Hoang, T. V., Bhutto, I. A., Wang, S., Sinha, D., Blackshaw, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.27.635096 · Cited by 4
Self-citationGenetic and epigenetic control of photoreceptor development
Qu, Z., Swaroop, A., & Debbio, C. B. D. (2025) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/bs.ctdb.2025.03.007 · Cited by 3
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Kisswani, D., Carroll, C., Valdés‐Mora, F., & Rutar, M. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26157601 · Cited by 3
ATAC-seq revealing chromatin accessibility and novel motifs linked to corneal fibrosis
Sood, S., Kumar, R., Sinha, N. R., & Mohan, R. R. (2025) · Experimental Eye Research · doi:10.1016/j.exer.2025.110826 · Cited by 3
Chromatin accessibility regulates age-dependent nuclear mechanotransduction
Liao, Y., Yuan, L., Sornapudi, T. R., Land, M., Gupta, R., & Shivashankar, G. V. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2522217123 · Cited by 4
Escobedo, S. E., McGovern, S. E., Jauregui-Lozano, J. P. P., Stanhope, S. C., Anik, P., Singhal, K., DeBernardis, R., & Weake, V. M. (2023) · Frontiers in Epigenetics and Epigenomics · doi:10.3389/freae.2023.1187980 · Cited by 5
Hu, P., Zhang, G., Ba, H., Ren, J., Li, J., Wang, Z., & Li, C. (2024) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-024-00573-x · Cited by 3
ROCCO : a robust method for detection of open chromatin via convex optimization
Hamilton, N. H., & Furey, T. S. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad725 · Cited by 4
Zibetti, C. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26125817 · Cited by 4
Self-citationPotential roles of histone deacetylases in diabetic wound healing
Zhang, F., Ma, H., Zhang, B., Jiang, L.-L., Nie, K., Deng, C., & Liu, Y. (2025) · World Journal of Diabetes · doi:10.4239/wjd.v16.i10.108346 · Cited by 3
de Sompele, S. V., Small, K. W., Cicekdal, M. B., López-Soriano, V., D’haene, E., Shaya, F. S., Agemy, S. A., der Snickt, T. V., Rey, A. D., Rosseel, T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.08.481329 · Cited by 3
The AKT2/SIRT5/TFEB pathway as a potential therapeutic target in atrophic AMDPreprint
Ghosh, S., Sharma, R., Bammidi, S., Koontz, V., Nemani, M., Yazdankhah, M., Kedziora, K. M., Wallace, C. T., Yu-Wei, C., Franks, J. M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.08.552343 · Cited by 3
Self-citationWang, S. K., Li, J., Nair, S., Korasaju, R., Chen, Y., Zhang, Y., Kundaje, A. B., Liu, Y., Wang, N., & Chang, H. Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.21.644670 · Cited by 3
Wang, X., Feng, Z., Sun, S., Zhang, J., Wang, K., Wang, Y., Zhao, Y., Zhao, B., Liu, B., Sun, M., et al. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102983 · Cited by 2
Lee, S.-Y., Kim, M. J., Ahn, S. I., Choi, S. K., Min, K. Y., Choi, W. S., & You, J. S. (2023) · Bone · doi:10.1016/j.bone.2023.116918 · Cited by 2
Li, J., Chen, Y., Wang, W., Zhang, Y., Su, G., Wang, S. K., Zhang, Y., Yao, Y., Wu, S., Lu, W., et al. (2024) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.65.14.18 · Cited by 1
Molecular underpinnings of induced degenerative heterogeneity in the retinal pigment epithelium
Singh, K. K., Jin, Y. O., Hu, M.-W., Palazzo, I., Cano, M., Hoang, T., Bhutto, I. A., Wang, S., Sinha, D., Blackshaw, S., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2505412123 · Cited by 4
Self-citationSetyaningsih, W. A. W., Naderi‐Meshkin, H., Yacoub, A., Cornelius, V. A., Silva, J. D., Fitriawan, A. S., Guduric‐Fuchs, J., Tashkandi, A. J. A., Kuburas, R., Zampetaki, A., et al. (2026) · Cell Communication and Signaling · doi:10.1186/s12964-026-02696-4 · Cited by 1
Yang, Y., Deng, Y., Li, X., 周, 派., Peng, Q., & Ratnayaka, J. A. (2026) · Antioxidants · doi:10.3390/antiox15060713 · Cited by 1
Best practices for the ATAC-seq assay and its data analysis
Liu, H., Li, R., Hu, K., Ou, J., Pak, M. L., Green, M. R., & Zhu, L. J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-817218-6.00016-4 · Cited by 1
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Dharmat, R., Kim, S., Liu, H., Fu, S., Li, Y., & Chen, R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/774950 · Cited by 1
Genetic variation in correlated regulatory region of ImmunityPreprint
Avalos, D., Rey, G., Ribeiro, D. M., Ramisch, A., Dermitzakis, E. T., & Delaneau, O. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.21.500922 · Cited by 1
Chatterjee, S., Ghosh, S., Sin, Z., Davis, E., Preval, L. V., Tran, N., Bammidi, S., Gautam, P., Hose, S., Sergeev, Y. V., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.06.606634 · Cited by 1
Self-citationZhang, P.-W., Wan, Z.-H., Liu, S., Wang, J., Sripathi, S. R., Li, W., Ahn, J., Li, S., Fan, L., Berlinicke, C. A., et al. (2025) · medRxiv · doi:10.1101/2025.10.29.25338834 · Cited by 1
Self-citationSegregation, linkage, GWAS, and sequencing
Waksmunski, A. R., Main, L. R., & Haines, J. L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816222-4.00002-2
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CHAUVAUD, D. (2020) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/j.banm.2020.05.111
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Hoeng, J., Talikka, M., Titz, B., Choukrallah, M.-A., Boué, S., Ivanov, N. V., Marescotti, D., Martin, F. P., & Peitsch, M. C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820490-0.00009-2
Epigenetics in ocular medicine
Liu, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823928-5.00003-7
Okamoto, J., Wang, L., Yin, X., Luca, F., Piqué-Regi, R., Helms, A. S., Im, H. K., Morrison, J., & Wen, X. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.19.500651
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Avalos, D., Rey, G., Ribeiro, D. M., Ramisch, A., Dermitzakis, E. T., & Delaneau, O. (2022) · Research Square · doi:10.21203/rs.3.rs-1897960/v1
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Chucair‐Elliott, A. J., Ocañas, S. R., Pham, K. D., Machalinski, A. H., Plafker, S. M., Stout, M. B., Elliott, M. H., & Freeman, W. M. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4615635
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Ansere, V. A., Tooley, K. B., Srividya, K., Hoolehan, W., Pham, K. D., Ocañas, S. R., & Freeman, W. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.18.575944
Pathobiology of Non-neovascular Age-Related Macular Degeneration
Handa, J. T. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13820-1.00030-x
Self-citationYue, J., Hou, X., Liu, X., Wang, L., Gao, H., Zhao, F., Shi, L., Shi, L., Yan, H., Deng, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14527719
Yue, J., Hou, X., Liu, X., Wang, L., Gao, H., Zhao, F., Shi, L., Shi, L., Yan, H., Deng, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14527716
Yue, J., Hou, X., Liu, X., Wang, L., Gao, H., Zhao, F., Shi, L., Shi, L., Yan, H., Deng, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14527707
Yue, J., Hou, X., Liu, X., Wang, L., Gao, H., Zhao, F., Shi, L., Shi, L., Yan, H., Deng, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14527722
Yue, J., Hou, X., Liu, X., Wang, L., Gao, H., Zhao, F., Shi, L., Shi, L., Yan, H., Deng, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14527713
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Liu, D., Howard, T. R., & Cristea, I. M. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-4192-7_7
Hasegawa, H., Yata, K., Okada, Y., & Kunimatsu, J. (2024) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata62323.2024.10825894
Nair, A. P., Ghosh, S., Babu, V. S., Machiraju, P., Xin, Y., Sahu, G. R., Vaidya, T. A., Debnath, J., Raja, K., Gadde, S. G. K., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.22.634301
Self-citationSah, S. K., Yadav, A., Stahl, T. J., Hayes, J. J., Bulger, M., & Rustchenko, E. P. (2025) · Journal of Fungi · doi:10.3390/jof11020110
VandenBosch, L. S., & Cherry, T. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.22.638679
Zhang, C., Weintraub, N. L., & Tang, Y. (2025) · Biomolecules · doi:10.3390/biom15050662
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Khartchenko, A. F., Lam, T., Goldhammer, N., Bont, M., Warhadpande, S., Rosenbluth, J. M., & Herr, A. E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.25.678463
Xu, H., Yang, R., Yu, J., Lin, Y., Qu, J., Yuan, C., Lin, Y., Yang, H., & Zeng, K. (2025) · Journal of Biochemical and Molecular Toxicology · doi:10.1002/jbt.70543
Zhang, P.-W., Liu, S., Li, W., Fan, L., Li, S., Wan, Z.-H., Berlinicke, C. A., Merbs, S. L., & Zack, D. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.27.684937
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VandenBosch, L. S., Leonardson, A. S., & Cherry, T. J. (2025) · Scientific Reports · doi:10.1038/s41598-025-30821-9
Yue, J., Hou, X., Liu, X., Wang, L., Gao, H., Zhao, F., Shi, L., Shi, L., Yan, H., Deng, T., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14527710
Lian, Y., Zhong, S., Huang, J., Huang, L., Li, Y., Liang, J., Wang, X., & Ding, J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.11.723935
Yan, L., Zhang, X., Shao, P., Li, M., Huang, Q., Xu, W., & Wu, J. (2026) · Molecular Immunology · doi:10.1016/j.molimm.2026.06.012
Retina-specific long non-coding RNAs associated with inherited retinal disease genes
Delanote, E., Ruiz-Ceja, K. A., Rey, A. D., Capasso, D., Bouckaert, M., Sofia, M., Guida, M. D., Failli, M., López-Soriano, V., Lenaerts, H., et al. (2026) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-026-06259-1
3D epigenomic landscape of the human retinal pigment epithelium
Liu, X., Tang, D., Zhang, J., Li, T., Huang, J., Qu, J., Ruan, Y., Chai, H., & Chi, Z. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2526200123
Lu, Y. R., Shen, H., Kajderowicz, K. M., 艾家和, Chen-Neumann, Y. H., Hu, Y., Tyshkovskiy, A., Lou, Q., Dong, T., Grauvogel, L., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.29.755187
Mehta, T. K., Man, A., Etherington, G., Smith, A. M., Indermaur, A., Salzburger, W., Joyce, D. A., Palma, F. D., & Haerty, W. (2026) · Genome Biology and Evolution · doi:10.1093/gbe/evag247
Role of Chromatin-Associated RNAs in Eye Physiology and Pathology
Savickyte, I., & Lapinaitė, A. (2026) · Methods in molecular biology · doi:10.1007/978-1-0716-5627-3_1
BindingDB (2026) · UC San Diego · doi:10.7270/q2b85dzw
Metadata
- Authors
- Wang, J., Zibetti, C., Shang, P., Sripathi, S. R., Zhang, P., Cano, M., Hoang, T., Xia, S., Ji, H., Merbs, S. L., Zack, D. J., Handa, J. T., Sinha, D., Blackshaw, S., & Qian, J.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Blackshaw, Seth
- Qian, Jiang
- ORCID
- Venue
- Nature Communications
- Published
- 2018-04-10
- Volume
- 9
- Issue
- 1
- Pages
- 1364-1364
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5893535
- OpenAlex
- W2797486746
- Cited by
- 185
- References
- 74
- Citations by year
- 2026: 15 · 2025: 27 · 2024: 32 · 2023: 24 · 2022: 24 · 2021: 24 · 2020: 21 · 2019: 13 · 2018: 5
- FWCI
- 17.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Funders
- International Retinal Research Foundation
- National Institutes of Health
- National Eye Institute (R01EY020560, R01EY024580, R01EY023188, R01EY027691)
- National Institute of Neurological Disorders and Stroke (R01NS091165)
- Topics
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Health Sciences › Medicine › Ophthalmology › Retinal Development and Disorders
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- age-related macular degeneration, chromatin accessibility, retinal pigment epithelium, retina, epigenetic regulation, differentially accessible regions, cigarette smoke, HDAC11, histone deacetylase, therapeutic target
- MeSH terms
- Aged, Aged, 80 and over, Chromatin, Epithelial Cells, Eye Proteins, Female, Histone Deacetylases, Humans, Macular Degeneration, Male, Smoke, Nicotiana, Transcription Factors, Case-Control Studies, Epigenesis, Genetic, Complex Mixtures, Genome-Wide Association Study, Retinal Pigment Epithelium, High-Throughput Nucleotide Sequencing, Primary Cell Culture
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