The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Age-Related Alterations in Neurons of the Mouse Retina
Open accessAbstract
The behavioral consequences of age-related alterations in neural function are well documented, but less is known about their cellular bases. To characterize such changes, we analyzed 14 molecularly identified subsets of mouse retinal projection neurons (retinal ganglion cells or RGCs) and interneurons (amacrine, bipolar, and horizontal cells). The retina thinned but expanded with age, maintaining its volume. There was minimal decline in the number of RGCs, interneurons, or photoreceptors, but the diameter of RGC dendritic arbors decreased with age. Together, the increased retinal area and the decreased dendritic area may lead to gaps in RGC coverage of the visual field. Axonal arbors of RGCs in the superior colliculus also atrophied with age, suggesting that the relay of visual information to central targets may decline over time. On the other hand, the laminar restriction of RGC dendrites and the interneuronal processes that synapse on them were not detectably disturbed, and RGC subtypes exhibited distinct electrophysiological responses to complex visual stimuli. Other neuronal types aged in different ways: amacrine cell arbors did not remodel detectably, whereas horizontal cell processes sprouted into the photoreceptor layer. Bipolar cells showed arbor-specific alterations: their dendrites sprouted but their axons remained stable. In summary, retinal neurons exhibited numerous age-related quantitative alterations (decreased areas of dendritic and axonal arbors and decreased density of cells and synapses), whereas their qualitative features (molecular identity, laminar specificity, and feature detection) were largely preserved. Together, these data reveal selective age-related alterations in neural circuitry, some of which could underlie declines in visual acuity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source doesn’t support the claim as written.
In the citing paper
“Old mice develop opaque lenses and lose retinal ganglion cells (RGCs) in the innermost retinal layer (Calkins, 2013; Downs, 2015; Samuel et al., 2011; Wolf et al., 2000) (Figure 7J).”
From Loss of epigenetic information as a cause of mammalian aging (2023) · cites this paper as Samuel et al., 2011
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Classical Complement Cascade Mediates CNS Synapse Elimination
Stevens, B., Allen, N. J., Vazquez, L. E., Howell, G. R., Christopherson, K. S., Nouri, N., Micheva, K. D., Mehalow, A. K., Huberman, A. D., Stafford, B., et al. (2007) · Cell · doi:10.1016/j.cell.2007.10.036 · Cited by 3,313
Imaging Neuronal Subsets in Transgenic Mice Expressing Multiple Spectral Variants of GFP
Feng, G., Mellor, R. H., Bernstein, M., Keller-Peck, C., Nguyen, Q. T., Wallace, M., Nerbonne, J. M., Lichtman, J. W., & Sanes, J. R. (2000) · Neuron · doi:10.1016/s0896-6273(00)00084-2 · Cited by 3,042
Self-citationInsights into the ageing mind: a view from cognitive neuroscience
Hedden, T., & Gabrieli, J. D. E. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1323 · Cited by 2,223
Neural plasticity in the ageing brain
Burke, S. N., & Barnes, C. A. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1809 · Cited by 1,709
Life and Death of Neurons in the Aging Brain
Morrison, J. H., & Hof, P. R. (1997) · Science · doi:10.1126/science.278.5337.412 · Cited by 1,344
Neural mechanisms of ageing and cognitive decline
Bishop, N. A., Lu, T., & Yankner, B. A. (2010) · Nature · doi:10.1038/nature08983 · Cited by 1,323
Parallel processing in the mammalian retina
Wässle, H. (2004) · Nature reviews. Neuroscience · doi:10.1038/nrn1497 · Cited by 1,253
The fundamental plan of the retina
Masland, R. H. (2001) · Nature Neuroscience · doi:10.1038/nn0901-877 · Cited by 1,247
Nagai, T., Yamada, S., Tominaga, T., Ichikawa, M., & Miyawaki, A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400417101 · Cited by 1,030
The suprachiasmatic nucleus of the human brain in relation to sex, age and senile dementia
Swaab, D. F., Fliers, E., & Partiman, T. S. (1985) · Brain Research · doi:10.1016/0006-8993(85)91350-2 · Cited by 847
Research works printed but not linked: 1
- 10.1097/00006324-199502000-00005 · DOI
Cited by
Sorted by citations
Items 101–184 of 184
Chen, J., Tseng, G., Wang, Y., & Wang, T. (2014) · Experimental Gerontology · doi:10.1016/j.exger.2014.06.010 · Cited by 12
NGF Expression in Reelin-Deprived Retinal Cells: A Potential Neuroprotective Effect
Balzamino, B. O., Esposito, G., Marino, R., Keller, F., & Micera, A. (2015) · NeuroMolecular Medicine · doi:10.1007/s12017-015-8360-z · Cited by 12
Differences in nonlinearities determine retinal cell types
Trapani, F., Spampinato, G. L. B., Yger, P., & Marre, O. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00243.2022 · Cited by 11
Chauhan, P., Kho, A. M., & Srinivasan, V. J. (2023) · Ophthalmology Science · doi:10.1016/j.xops.2023.100321 · Cited by 11
Characterization of the retinal pigment epithelium in Friedreich ataxia
Crombie, D. E., Bergen, N. V., Davidson, K. C., Virmouni, S. A., McKelvie, P. A., Chrysostomou, V., Conquest, A., Corben, L. A., Pook, M. A., Kulkarni, T., et al. (2015) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2015.09.003 · Cited by 11
Johnson, V. R., Xiang, M., Chen, Z., & Junge, H. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132013 · Cited by 11
Zhang, J., & Zhou, Y. (2015) · Europe PMC (PubMed Central) · doi:10.3980/j.issn.2222-3959.2015.04.24 · Cited by 10
Genetic basis of age-dependent synaptic abnormalities in the retina
Higuchi, H., Macke, E. L., Russell, W. L., Miller, S. A., Xu, J. C., Ikeda, S., & Ikeda, A. (2014) · Mammalian Genome · doi:10.1007/s00335-014-9546-7 · Cited by 10
Petralia, R. S., Wang, Y., Mattson, M. P., & Yao, P. J. (2017) · NeuroMolecular Medicine · doi:10.1007/s12017-017-8445-y · Cited by 10
The first synapse in vision in the aging mouse retina
Gierke, K., Lux, U. T., Regus‐Leidig, H., & Brandstätter, J. H. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1291054 · Cited by 9
Chou, T.-H., Feuer, W. J., Schwartz, O., Rojas, M. J., Roebber, J. K., & Porciatti, V. (2015) · Experimental Eye Research · doi:10.1016/j.exer.2015.11.008 · Cited by 9
Glial cells as a promising therapeutic target of glaucoma: beyond the IOP
Shinozaki, Y., Namekata, K., Guo, X., & Harada, T. (2024) · Frontiers in Ophthalmology · doi:10.3389/fopht.2023.1310226 · Cited by 9
Endogenous Apelin Is Protective Against Age-Associated Loss of Retinal Ganglion Cells in Mice
Ishimaru, Y., Sumino, A., Shibagaki, F., Yamamuro, A., Yoshioka, Y., & Maeda, S. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00058 · Cited by 9
The Effects of Aging on Rod Bipolar Cell Ribbon Synapses
Shrestha, A. P., Rameshkumar, N., Boff, J. M., Rajmanna, R., Chandrasegaran, T., Frederick, C., Zenisek, D., & Vaithianathan, T. (2023) · Cells · doi:10.3390/cells12192385 · 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
Visual Function and Survival of Injured Retinal Ganglion Cells in Aged Rbfox1 Knockout Animals
Gu, L., Kwong, J. M. K., Caprioli, J., & Piri, N. (2022) · Cells · doi:10.3390/cells11213401 · Cited by 8
Zhang, X., Zhu, J., Chen, X., Zhang, J., Li, X., Luo, L., Huang, H., Liu, W., Zhou, X., Yan, J., et al. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00272 · Cited by 8
Sfrp1 deficiency makes retinal photoreceptors prone to degeneration
Cisneros, E., Marco, F. D., Rueda‐Carrasco, J., Lillo, C., Pereyra, G., Martín‐Bermejo, M. J., Vargas, A., Sanchez, R., Sandonís, Á., Esteve, P., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-61970-8 · Cited by 8
Age-specific influences of refractive error and illuminance on pupil diameter
Lee, Y.-S., Kim, H.-J., Lim, D.-K., Kim, M., & Lee, K.-J. (2022) · Medicine · doi:10.1097/md.0000000000029859 · Cited by 8
No evidence for age-related alterations in the marmoset retina
Haverkamp, S., Reinhard, K., Peichl, L., & Mietsch, M. (2022) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2022.945295 · Cited by 7
Mohtashami, Z., Singh, M. K., Neto, F. J. T., Salimiaghdam, N., Hasanpour, H., & Kenney, M. C. (2023) · Antioxidants · doi:10.3390/antiox12020518 · Cited by 9
Chan, J. W. Y., Li, C.-T., Chau, S. W. H., Chan, N. Y., Li, T. M. H., Huang, B., Tsoh, J., Li, S. X., Chong, K. K. L., Roecklein, K. A., et al. (2024) · SLEEP · doi:10.1093/sleep/zsae239 · Cited by 8
Hanke‐Gogokhia, C., Zapadka, T. E., Finkelstein, S., Klingeborn, M., Maugel, T. K., Singer, J. H., Arshavsky, V. Y., & Demb, J. B. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1379-23.2024 · Cited by 7
Berkowitz, B. A., Podolsky, R. H., Childers, K. L., Roberts, R., Schneider, M., Graffice, E., Sinan, K., Berri, A. M., & Harp, L. (2021) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.62.6.24 · Cited by 6
Age-Related Changes of the Synucleins Profile in the Mouse Retina
Dias, S. B., de Lemos, L., Sousa, L., Bitoque, D. B., Silva, G. A., Seabra, M. C., & Tenreiro, S. (2023) · Biomolecules · doi:10.3390/biom13010180 · Cited by 6
Lyu, P., Palazzo, I., Jin, Y. O., Campbell, L. J., Santiago, C. P., Carmen‐Orozco, R. P., Hoang, T. V., Tangeman, J. A., Park, A. D., Yang, S. H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.09.673285 · Cited by 6
Chrysostomou, V., Ellis, S. A., Fry, L. E., Hatch, R. J., Fahy, E. T., Bell, K. C., Trounce, I. A., van Wijngaarden, P., Petrou, S., & Crowston, J. G. (2025) · Aging Cell · doi:10.1111/acel.70005 · Cited by 5
Understanding how ageing impacts ganglion cell susceptibility to injury in glaucoma
van Koeverden, A. K., Afiat, B. C., Nguyen, C. T. O., Bui, B. V., & Lee, P. Y. (2023) · Clinical and Experimental Optometry · doi:10.1080/08164622.2023.2279734 · Cited by 5
Early Alterations in Inner-Retina Neural and Glial Saturated Responses in Lens-Induced Myopia
Ablordeppey, R., Nieu, R., Lin, C., & Benavente-Perez, A. (2024) · Translational Vision Science & Technology · doi:10.1167/tvst.13.4.16 · Cited by 5
SOX2 haploinsufficiency promotes impaired vision at advanced age
Moreno‐Cugnon, L., Anasagasti, A., Ezquerra-Inchausti, M., Izeta, A., de la Villa, P., Ruiz‐Ederra, J., & Matheu, A. (2018) · Oncotarget · doi:10.18632/oncotarget.26393 · Cited by 5
Hedberg‐Buenz, A., Meyer, K. J., van der Heide, C. J., Deng, W., Lee, K., Soukup, D. A., Kettelson, M., Pellack, D. R., Mercer, H. E., Wang, K., et al. (2022) · Translational Vision Science & Technology · doi:10.1167/tvst.11.9.17 · Cited by 5
Early onset of age-related changes in the retina of cystine/glutamate antiporter knockout mice
Martis, R. M., Knight, L. J., Acosta, M. L., Black, J. M., Ng, R. J., Ji, L. C. L., Donaldson, P. J., & Lim, J. C.-H. (2022) · Experimental Eye Research · doi:10.1016/j.exer.2022.109364 · Cited by 5
Goodman, C., Podolsky, R. H., Childers, K. L., Roberts, R., Katz, R., Waseem, R., Paruchuri, A., Stanek, J., & Berkowitz, B. A. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1280453 · Cited by 4
Lin, F., Li, Y., Wang, J., Jardines, S., King, R., Chrenek, M. A., Wiggs, J. L., Boatright, J. H., & Geisert, E. E. (2024) · Scientific Reports · doi:10.1038/s41598-024-60444-5 · Cited by 4
Li, Y., Wang, J., King, R., & Geisert, E. E. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.28.968503 · Cited by 4
Hedberg‐Buenz, A., Meyer, K. J., van der Heide, C. J., Deng, W., Lee, K., Soukup, D. A., Kettelson, M., Pellack, D. R., Mercer, H. E., Wang, K., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.23.423848 · Cited by 4
Reinehr, S., Zehge, J. P., Klöster, K., Mueller, M., Hendek, H. H., Sendtner, M., Dick, H. B., Gold, R., Joachim, S. C., & Faissner, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-21423-6 · Cited by 3
RetractedUnwanted help from T cells in the aging central nervous system
Negredo, P. N., & Brunet, A. (2021) · Nature Aging · doi:10.1038/s43587-021-00053-3 · Cited by 3
Inner Plexiform Layer Substrata Are Discernible with Commercial OCT and Affected by Aging
Correa, V., Emfietzoglou, M., Sakuno, G., Naafs, R., Miller, J. W., Charonis, A. C., & Vavvas, D. G. (2025) · Ophthalmology Science · doi:10.1016/j.xops.2025.100815 · Cited by 3
Liu, B., Wang, M., Pu, N., Wang, J., Fan, W., Qu, C., Wu, H., Song, Z., & Tao, Y. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102788 · Cited by 3
Yang, R., Chen, S.-L., Ng, T. K., Liang, J., Huang, S., Deng, M., Wu, Z., Sun, Y., Fu, C., Pang, C. P., et al. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02043-7 · Cited by 3
Microvascular and Morphologic Changes of the Macula over Lifetime
Lever, M., Chen, Y., Glaser, M., Unterlauft, J. D., Lommatzsch, C., Bechrakis, N. E., & Böhm, M. R. R. (2022) · Life · doi:10.3390/life12040568 · Cited by 3
The Profile of Retinal Ganglion Cell Death and Cellular Senescence in Mice with Aging
Wang, W., Bin, X., Xu, Y., Chen, S., Zhou, S., Chen, S., Cao, Y., Qiu, K., & Ng, T. K. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26125436 · Cited by 4
The Lack of Amyloidogenic Activity Is Persistent in Old WT and APPswe/PS1ΔE9 Mouse Retinae
Joly, S., Rodriguez, L., & Pernet, V. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111344 · Cited by 2
The rod synapse in aging wildtype and Dscaml1 mutant mice
Clemons, M. R., Dimico, R. H., Black, C. X., Schlussler, M. K., Camerino, M. J., Aldinger-Gibson, K., Bartle, A., Reynolds, N., Eisenbrandt, D., Rogers, A., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0290257 · Cited by 2
A biometric survey of known and prospective murine models of posterior microphthalmia-nanophthalmia
Gogna, N., Pinkney, J., Stone, L. V., Khorzom, M. M., Zhao, F., Collin, G. B., Naggert, J. K., Krebs, M. P., & Nishina, P. M. (2025) · Experimental Eye Research · doi:10.1016/j.exer.2025.110335 · Cited by 2
Genetic Loss of RORα Impairs Visual Function With Rod Bipolar Cell Degeneration In Mice
Bora, K., Liu, C., Kushwah, N., Maurya, M., Pavlovich, M. C., Solt, L. A., Sun, Y., Fu, Z., Akula, J. D., & Chen, J. (2025) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.66.11.20 · Cited by 2
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
Barney, S. T., Becerril, D., Monga, S., Flores, S., Lee, A., Mattos, M. F., Perez, R. M., Blixt, F. W., Maniskas, M. E., Huang, S., et al. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-026-01698-7 · Cited by 2
Age-related differences in retinal function and structure in C57BL/6J and Thy1-YFPh mice
Lee, P. Y., & Bui, B. V. (2024) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.06.005 · Cited by 3
Muraleva, N. A., Tikhonov, D. I., Александровна, Ж. А., Плотников, М. Б., Khlebnikov, А. I., Logvinov, S. V., & Kolosova, N. G. (2025) · Cells · doi:10.3390/cells14120896 · Cited by 2
MacNeil, M. A., Arain, S., Mentor, W., García‐Marín, V., & Birk, A. V. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.01.045 · Cited by 2
FMR protein: Evidence of an emerging role in retinal aging?
Ardourel, M., Ranchon‐Cole, I., Pâris, A., Felgerolle, C., Acar, N., Lesne, F., Briault, S., & Perche, O. (2022) · Experimental Eye Research · doi:10.1016/j.exer.2022.109282 · Cited by 2
Functional properties of aged hypothalamic cells
Masliukov, P. M. (2024) · Vitamins and hormones · doi:10.1016/bs.vh.2024.07.003 · Cited by 1
Aging affects retinal oxygen and blood flow metrics in mice
Abdolahi, F., Rahimi, M., Zinjal, R., Sakadžić, S., & Shahidi, M. (2025) · Experimental Eye Research · doi:10.1016/j.exer.2025.110363 · Cited by 1
Ythdf2 Ablation Protects Aged Retina From RGC Dendrite Shrinking and Visual Decline
Niu, F., Long, G., Zhang, J., Yu, J., & Ji, S. (2025) · Aging Cell · doi:10.1111/acel.70107 · Cited by 1
Age-related decline in retinal function in marmosets
Noro, T., Guo, X., Kikuchi, R., Sato, K., Namekata, K., Shinozaki, Y., Harada, C., Yurimoto, T., Hashimoto, N., Moriya‐Ito, K., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-05262-z · Cited by 1
Retinal structural changes and aging in Parkinson’s disease: Evidence from the Persian cohort study
Nikparast, F., Ganji, Z., Sharak, N. A., Shoeibi, A., Shoeibi, N., & Zare, H. (2025) · Photodiagnosis and Photodynamic Therapy · doi:10.1016/j.pdpdt.2025.104710 · Cited by 1
Retinal Ganglion Cell Replacement: A Bridge to the Brain
Baranov, P. Y., & Oswald, J. (2018) · Fundamental biomedical technologies · doi:10.1007/978-3-319-98080-5_8 · Cited by 1
Herrera‐Zamora, J. M., Osuna‐López, F., Reyes‐Méndez, M. E., Valadez-Lemus, R. E., Sánchez-Pastor, E. A., Navarro‐Polanco, R. A., Moreno-Galindo, E. G., & Alamilla, J. (2024) · Journal of Neuroscience Research · doi:10.1002/jnr.25331 · Cited by 1
Santana, N. N. M., Silva, E. H. A., dos Santos, S. F., Bezerra, L. L. F., da Silva, M. M. O., Cavalcante, J. S., Fiuza, F. P., Morais, P. L. A. D. G., & Engelberth, R. C. G. J. (2024) · The Journal of Comparative Neurology · doi:10.1002/cne.25649 · Cited by 1
Koller, A., Preishuber‐Pflügl, J., Mayr, D., Brunner, S. M., Ladek, A., Runge, C., Aigner, L., Reitsamer, H. A., & Trost, A. (2025) · Aging · doi:10.18632/aging.206193 · Cited by 1
Vercelli, A., Boido, M., & Jhaveri, S. (2012) · Italian Journal of Anatomy and Embryology · doi:10.36253/ijae-1133 · Cited by 1
The elephant retina examined across a range of agesPreprint
Freed, J., Joyce, S., Whalley, R., Purse, E., Ingram, T. L., Yon, L., & Chakrabarti, L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.20.427452 · Cited by 1
Mosaics and Lamination in the Retina
Fuerst, P. G. (2016) · Springer eBooks · doi:10.1007/978-4-431-56050-0_10
Multipronged Approach to Study Glaucoma-Associated Phenotypes
Chintalapudi, S. R. (2016) · doi:10.21007/etd.cghs.2016.0410
On the Auditory System: genes, DNA repair and ion channels
Nagtegaal, A. P. (2013)
Steinbach, M. J. (2012) · Canadian Journal of Ophthalmology · doi:10.1016/j.jcjo.2011.12.014
Développement de la vision, évolution de la réfraction
Quoc, E. B. (2022) · Elsevier eBooks · doi:10.1016/b978-2-294-77315-0.00002-1
Ythdf2 ablation protects aged retina from RGC dendrite shrinking and visual declinePreprint
Niu, F., Long, G., Zhang, J., She, Y., Yu, J., & Ji, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.05.522855
Microtubule decay is a driver of neuronal ageing and a promising target for interventionPreprint
Okenve-Ramos, P., Gosling, R., Chojnowska-Monga, M., Gupta, K., Shields, S., & Sánchez‐Soriano, N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.11.523590
Visible light optical coherence tomography reveals age-related photoreceptor changes in the mouse
Chauhan, P., Kho, A. M., Yiu, G. C., Dang, B. Q., & Srinivasan, V. J. (2023) · Ophthalmic Technologies · doi:10.1117/12.2649364
Wada, I., Mori, K., Sreekumar, P. G., Ji, R., Spee, C. K., Hong, E., Ishikawa, K., Sonoda, K., & Kannan, R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.04.552052
Axonal spheroids are regulated by Schwann cells after peripheral nerve injury
Hunter-Chang, S., Kim-Aun, C., Karim, H., Jones, M., Vegiraju, T., Степанова, Е. И., Manke, B., Kucenas, S., & Deppmann, C. D. (2025) · Glial health research. · doi:10.1016/j.ghres.2025.100005
Lin, C. R., Ablordeppey, R. K., & Benavente-Pérez, A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26062824
Henderson, D. C., & Chauhan, B. C. (2025) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2025.101595 · Cited by 1
Predicting Vision Loss In Healthy Aging With Manganese-Enhanced Mri Of The Rat Eye
Bissig, D. (2012) · Human Biology
Scholl, S., & Augustin, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-13983-3.00007-9
Modélisation du vieillissement dans le système visuel & la boîte à outils Python de Convis
Huth, J. (2018) · theses.fr (ABES) · doi:10.70675/1cc42d27zfc3ez46f4z9550z7cf7150b8e30
Features of retina remodeling during its physiological aging and age-related macular degeneration
Зуева, М. В., Kotelin, V. I., & Neroeva, N. V. (2026) · Russian Ophthalmological Journal · doi:10.21516/2072-0076-2026-19-1-179-184
Fazeli, S. M. S., Tarzjani, S. P. C., Daneshvar, P., & Fazeli, S. A. S. (2026) · Metabolic Brain Disease · doi:10.1007/s11011-026-01889-7
Metadata
- Authors
- Samuel, M. A., Zhang, Y., Meister, M., & Sanes, J. R.
- Affiliations
- Harvard University (US)
- Corresponding author
- Sanes, Joshua R.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-11-02
- Volume
- 31
- Issue
- 44
- Pages
- 16033-16044
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3238393
- OpenAlex
- W2117429439
- Cited by
- 184
- References
- 71
- Citations by year
- 2026: 5 · 2025: 21 · 2024: 14 · 2023: 23 · 2022: 17 · 2021: 13 · 2020: 11 · 2019: 10 · 2018: 8 · 2017: 11 · 2016: 8 · 2015: 17 · 2014: 11 · 2013: 9 · 2012: 6
- FWCI
- 3.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
- Funders
- Damon Runyon Cancer Research Foundation
- National Institutes of Health
- National Institute on Aging (R01AG032322)
- National Institute of Neurological Disorders and Stroke (R01NS029169)
- Topics
- Health Sciences › Medicine › Ophthalmology › Retinal Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- retinal aging, retinal ganglion cells, amacrine cells, bipolar cells, horizontal cells, superior colliculus, retinal interneurons, photoreceptors, synaptic density, visual acuity loss, mouse retina, neural circuits
- MeSH terms
- Age Factors, Aging, Animals, Axons, Dendrites, Eye Proteins, Female, Flow Cytometry, Gene Expression Regulation, Immunoglobulins, Luminescent Proteins, Male, Membrane Potentials, Mice, Inbred C57BL, Mice, Transgenic, Nerve Tissue Proteins, Neurons, Retina, Retinal Ganglion Cells, Visual Pathways, Cell Adhesion Molecules, Patch-Clamp Techniques, Thy-1 Antigens, Photoreceptor Cells, Vertebrate, Amacrine Cells, Mice, Junctional Adhesion Molecule B, In Vitro Techniques
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review