Aerobic Glycolysis Is Essential for Normal Rod Function and Controls Secondary Cone Death in Retinitis Pigmentosa

Lolita Petit, Shan Ma, Joris Cipi, Shun-Yun Cheng, Marina Zieger, Nissim Hay, Claudio Punzo, Lolita Petit, Shan Ma, Joris Cipi, Shun-Yun Cheng, Marina Zieger, Nissim Hay, Claudio Punzo

Abstract

Aerobic glycolysis accounts for ∼80%-90% of glucose used by adult photoreceptors (PRs); yet, the importance of aerobic glycolysis for PR function or survival remains unclear. Here, we further established the role of aerobic glycolysis in murine rod and cone PRs. We show that loss of hexokinase-2 (HK2), a key aerobic glycolysis enzyme, does not affect PR survival or structure but is required for normal rod function. Rods with HK2 loss increase their mitochondrial number, suggesting an adaptation to the inhibition of aerobic glycolysis. In contrast, cones adapt without increased mitochondrial number but require HK2 to adapt to metabolic stress conditions such as those encountered in retinitis pigmentosa, where the loss of rods causes a nutrient shortage in cones. The data support a model where aerobic glycolysis in PRs is not a necessity but rather a metabolic choice that maximizes PR function and adaptability to nutrient stress conditions.

Keywords: aerobic glycolysis; cones; hexokinase-2; metabolic coupling; oxidative phosphorylation; retinitis pigmentosa; rod metabolism; rods.

Conflict of interest statement

DECLARATION OF INTERESTS

The authors declare no competing interests.

Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Figures

Figure 1. HK2 Expression in Cones and…
Figure 1. HK2 Expression in Cones and Rods
(A) HK2 expression (green) by IHC in adult Ai9_MCre+ retinas (red: tdTomato in Ai9_MCre+ mice). Right: no primary antibody. Blue: DAPI, removed from 60% of panels to visualize red and green signals. (B) Developmental expression and quantification of HK2 by western blot with retinal extracts (loading control: actin; n = 3; levels expressed as % of PN21 levels). (C) Developmental expression of HK2 by IHC at ages indicated with same labeling as in (A). Higher magnification of boxed area is shown to the right of each panel (arrowheads: HK2 in cones). (D) HK2 expression (green) in retinas of genotypes indicated (red, PNA detecting cones; blue, DAPI, removed from 60% of panels to visualize red and green signals; age: 1 month). Higher magnifications of areas 1 and 2 are shown below each panel. (E) Relative levels of retinal Hk2 RNA after conditional Hk2 deletion in rods (GAPDH: reference; age: 1 month). (F and G) Western blot (F) and quantification (G) of retinal HK2 protein levels in genotypes indicated (levels expressed as % of wild-type; age: 1 month). Errors bars ± SD; numbers in bars, number of retinas analyzed; OS, outer segment; IS, inner segment; ONL, outer nuclear layer; INL, inner nuclear layer; GCL, ganglion cell layer. Scale bars, 25 μm (long one), 5 μm (short one).
Figure 2. Changes in Aerobic Glycolysis upon…
Figure 2. Changes in Aerobic Glycolysis upon HK2 Loss in Rods
(A–C) One-month-old mice of genotypes indicated in panels. (A) IHC on retinal sections for proteins indicated to the left of each panel (green signal). Cones (red signal) were detected by PNA or with an anti-cone arrestin (CA) antibody (blue: DAPI, removed from 60% of panels to visualize red and green signals; higher magnification of boxed area is shown to the right of each panel). (B) Quantitative western-blot analysis with retinal extracts for proteins indicated (levels expressed as % of wild-type). (C) Quantification of lactate, NADPH and NADP+ from freshly dissected retinas. Errors bars ± SD; numbers in bars, number of biological samples (each consisting of 2 retinas from one mouse); ONL, outer nuclear layer; INL, inner nuclear layer; GCL, ganglion cell layer. Scale bars: 85 μm (long one), 10 μm (short one).
Figure 3. Rod and Cone Survival upon…
Figure 3. Rod and Cone Survival upon HK2 Loss
(A–D) Analysis of rod survival upon loss of HK2 in rods by fundus photography (A), quantification of total ONL nuclei per section (B), measurements of ONL thickness (C) and IHC on retinal sections (D) (RHO, rhodopsin red signal; PNA, green signal; blue, DAPI). (E–G) Cone survival analysis upon HK2 loss in cones performed on retinal flat mounts (E and F) stained for cone arrestin (CA) over time and PNA, medium wavelength (L/M) opsin and short wavelength (S) opsin at 1 month (F, cones per retina), and by IHC (G) for cone markers indicated in panels. Age and genotypes as indicated: blue, DAPI (D and G), removed from 60% of panels to visualize red and green signals. Errors bars ± SD; numbers in bars, number of retinas analyzed; ONL, outer nuclear layer; INL, inner nuclear layer. Scale bars, 85 μm.
Figure 4. Analysis of Rod and Cone…
Figure 4. Analysis of Rod and Cone Function upon Loss of HK2
(A–I) Scotopic and photopic ERG recordings upon HK2 loss in rods. (A) Representative scotopic single-flash (10 cd*s/m2) ERG responses from 1-month-old mice. (B) Scotopic ERG a-and b-wave responses from 1-month-old mice recorded over 5 light intensities (Hk2c/c_iRCre−: n = 17; Hk2c/+_iRCre+: n = 11; Hk2c/c_iRCre−: n = 9). (C) Representative scotopic single-flash (10 cd*s/m2) ERG responses from 1-month-old mice shown at different scales to highlight the a-wave response. (D) Amplitude of the scotopic a-wave response at fixed time point after flash onset. (E) Comparison of the leading edge of the scotopic a-wave (10 cd*s/m2) after normalization (shown are representative responses as in A and C). (F) Implicit time of b-wave responses at 1 months of age. (G) b/a-wave amplitude ratios of scotopic ERG recorded at 0.1 cd*s/m2 at time indicated. (H) b-wave amplitude of scotopic single-flash ERG responses over time at 0.01 cd*s/m2. (I) b-wave amplitude of photopic responses at 1 and 12 months. (J and K) Photopic ERG recordings upon loss of HK2 in cones. (J) Representative photopic single-flash responses from 2-month-old mice. (K) b-wave amplitude of photopic responses over time. Errors bars ± SD; numbers in bars, number of mice analyzed.
Figure 5. Increased Mitochondria Number upon Loss…
Figure 5. Increased Mitochondria Number upon Loss of HK2 in Rods
(A) Retinal sections showing increased VDAC (green, arrowheads show large VDAC+ dots) expression upon loss of HK2 in rods (red, PNA; blue, DAPI, removed from 60% of panels to visualize red and green signals). Boxed areas are shown to the right of each panel. (B) Relative levels of VDAC protein assessed by western blot of total retinal extracts. (C and D) Retinal sections stained for glutamine synthetase (GS, red) and VDAC (C, green) or HK1 (D, green) showing no colocalization of large green dots (arrowhead) with GS. Boxed areas are shown below each panel. (E) Cross-sections of Hk2c/c_iRCre+ retina showing that HK1 dots (green) do not co-localize with cone arrestin (CA, red; DAPI, blue, removed from 60% of panels to visualize red and green signals). (F) Relative number of VDAC- or HK1-positive dots in the ONL. (G) Relative level of the 5 OXPHOS complexes assessed by western blot of total retinal extracts. (H and I) Transmission electron microscopy images (H) and mitochondria quantification (I) showing a larger number of PR mitochondria (red) in the rod perinuclear region upon loss of HK2 at 1 and 12 months (blue, mitochondria located in Mueller glia processes; red dotted line, outer limiting membrane). Age in all experiments: 1 month except as indicated in (H); genotypes as indicated; results in (B), (F), and (G): % of wild-type. Error bars ± SD; numbers in bars, number of biological samples; ONL, outer nuclear layer; INL, inner nuclear layer; IS, inner segment; GCL, ganglion cell layer.
Figure 6. Retinal Function in HK2 Double…
Figure 6. Retinal Function in HK2 Double Knockout Mice
(A) ERG recordings in HK2 double knockout mice at 4 months of age showing no difference in the b-wave amplitudes of scotopic single-flash ERG responses at 0.01 cd*s/m2 between Hk2c/c_iRCre+ and Hk2c/c_iRCre+_MCre+ littermates. In contrast b-wave amplitudes of photopic responses show reduced cone function only in iRCre+_MCre+ retinas. Errors bars ± SD; numbers in bars, number of mice analyzed. (B) Representative IHC images on retinal sections for LDHB expression (green signal) at 1 (top) or 2 (bottom) months of age. Cones were detected with an anti-cone arrestin antibody (CA, red signal). Higher magnification of boxed areas is shown to the right of each panel. INL, inner nuclear layer; ONL, outer nuclear layer.
Figure 7. HK2 Promotes Cone Survival in…
Figure 7. HK2 Promotes Cone Survival in Retinitis Pigmentosa
(A) Representative retinal flat mounts at 2 months of genotypes indicated showing less central Ai9+ cones upon loss of HK2 in cones (higher magnification of boxed area). (B) Quantification of the total number of Ai9+ cones per retina at 2 months in genotypes indicated. Errors bars ± SD; numbers in bars, number of retinas analyzed.

References

    1. Adler L, 4th, Chen C, Koutalos Y. Mitochondria contribute to NADPH generation in mouse rod photoreceptors. J Biol Chem. 2014;289:1519–1528.
    1. Aït-Ali N, Fridlich R, Millet-Puel G, Clérin E, Delalande F, Jaillard C, Blond F, Perrocheau L, Reichman S, Byrne LC, et al. Rod-derived cone viability factor promotes cone survival by stimulating aerobic glycolysis. Cell. 2015;161:817–832.
    1. Ames A., 3rd CNS energy metabolism as related to function. Brain Res Brain Res Rev. 2000;34:42–68.
    1. Ames A, 3rd, Li YY, Heher EC, Kimble CR. Energy metabolism of rabbit retina as related to function: high cost of Na+ transport. J Neurosci. 1992;12:840–853.
    1. Amoroso F, Falzoni S, Adinolfi E, Ferrari D, Di Virgilio F. The P2X7 receptor is a key modulator of aerobic glycolysis. Cell Death Dis. 2012;3:e370.
    1. Arora KK, Pedersen PL. Functional significance of mitochondrial bound hexokinase in tumor cell metabolism. Evidence for preferential phosphorylation of glucose by intramitochondrially generated ATP. J Biol Chem. 1988;263:17422–17428.
    1. Casson RJ, Wood JP, Han G, Kittipassorn T, Peet DJ, Chidlow G. M-type pyruvate kinase isoforms and lactate dehydrogenase A in the mammalian retina: metabolic implications. Invest Ophthalmol Vis Sci. 2016;57:66–80.
    1. Chertov AO, Holzhausen L, Kuok IT, Couron D, Parker E, Linton JD, Sadilek M, Sweet IR, Hurley JB. Roles of glucose in photoreceptor survival. J Biol Chem. 2011;286:34700–34711.
    1. Chinchore Y, Begaj T, Wu D, Drokhlyansky E, Cepko CL. Glycolytic reliance promotes anabolism in photoreceptors. eLife. 2017;6:e25946.
    1. Cohen LH, Noell WK. Glucose catabolism of rabbit retina before and after development of visual function. J Neurochem. 1960;5:253–276.
    1. DeWaal D, Nogueira V, Terry AR, Patra KC, Jeon SM, Guzman G, Au J, Long CP, Antoniewicz MR, Hay N. Hexokinase-2 depletion inhibits glycolysis and induces oxidative phosphorylation in hepatocellular carcinoma and sensitizes to metformin. Nat Commun. 2018;9:446.
    1. Dithmar S, Curcio CA, Le NA, Brown S, Grossniklaus HE. Ultrastructural changes in Bruch’s membrane of apolipoprotein E-deficient mice. Invest Ophthalmol Vis Sci. 2000;41:2035–2042.
    1. Gershon TR, Crowther AJ, Tikunov A, Garcia I, Annis R, Yuan H, Miller CR, Macdonald J, Olson J, Deshmukh M. Hexokinase-2-mediated aerobic glycolysis is integral to cerebellar neurogenesis and pathogenesis of medulloblastoma. Cancer Metab. 2013;1:2.
    1. Hoang QV, Linsenmeier RA, Chung CK, Curcio CA. Photo-receptor inner segments in monkey and human retina: mitochondrial density, optics, and regional variation. Vis Neurosci. 2002;19:395–407.
    1. Hood DC, Birch DG. Assessing abnormal rod photoreceptor activity with the a-wave of the electroretinogram: applications and methods. Doc Ophthalmol. 1996–1997;92:253–267.
    1. Hurley JB, Lindsay KJ, Du J. Glucose, lactate, and shuttling of metabolites in vertebrate retinas. J Neurosci Res. 2015;93:1079–1092.
    1. Iqbal MA, Siddiqui FA, Gupta V, Chattopadhyay S, Gopinath P, Kumar B, Manvati S, Chaman N, Bamezai RN. Insulin enhances metabolic capacities of cancer cells by dual regulation of glycolytic enzyme pyruvate kinase M2. Mol Cancer. 2013;12:72.
    1. Iqbal MA, Gupta V, Gopinath P, Mazurek S, Bamezai RN. Pyruvate kinase M2 and cancer: an updated assessment. FEBS Lett. 2014;588:2685–2692.
    1. Joyal JS, Sun Y, Gantner ML, Shao Z, Evans LP, Saba N, Fredrick T, Burnim S, Kim JS, Patel G, et al. Retinal lipid and glucose metabolism dictates angiogenesis through the lipid sensor Ffar1. Nat Med. 2016;22:439–445.
    1. Kam JH, Jeffery G. To unite or divide: mitochondrial dynamics in the murine outer retina that preceded age related photoreceptor loss. Oncotarget. 2015;6:26690–26701.
    1. Kanow MA, Giarmarco MM, Jankowski CS, Tsantilas K, Engel AL, Du J, Linton JD, Farnsworth CC, Sloat SR, Rountree A, et al. Biochemical adaptations of the retina and retinal pigment epithelium support a metabolic ecosystem in the vertebrate eye. eLife. 2017;6:e28899.
    1. LaVail MM. Rod outer segment disk shedding in rat retina: relationship to cyclic lighting. Science. 1976;194:1071–1074.
    1. Le YZ, Ash JD, Al-Ubaidi MR, Chen Y, Ma JX, Anderson RE. Targeted expression of Cre recombinase to cone photoreceptors in transgenic mice. Mol Vis. 2004;10:1011–1018.
    1. Li S, Chen D, Sauvé Y, McCandless J, Chen YJ, Chen CK. Rhodopsin-iCre transgenic mouse line for Cre-mediated rod-specific gene targeting. Genesis. 2005;41:73–80.
    1. Linton JD, Holzhausen LC, Babai N, Song H, Miyagishima KJ, Stearns GW, Lindsay K, Wei J, Chertov AO, Peters TA, et al. Flow of energy in the outer retina in darkness and in light. Proc Natl Acad Sci USA. 2010;107:8599–8604.
    1. Ma S, Venkatesh A, Langellotto F, Le YZ, Hall MN, Rüegg MA, Punzo C. Loss of mTOR signaling affects cone function, cone structure and expression of cone specific proteins without affecting cone survival. Exp Eye Res. 2015;135:1–13.
    1. Macaluso C, Onoe S, Niemeyer G. Changes in glucose level affect rod function more than cone function in the isolated, perfused cat eye. Invest Ophthalmol Vis Sci. 1992;33:2798–2808.
    1. Mathupala SP, Rempel A, Pedersen PL. Aberrant glycolytic metabolism of cancer cells: a remarkable coordination of genetic, transcriptional, post-translational, and mutational events that lead to a critical role for type II hexokinase. J Bioenerg Biomembr. 1997;29:339–343.
    1. Mathupala SP, Ko YH, Pedersen PL. Hexokinase II: cancer’s double-edged sword acting as both facilitator and gatekeeper of malignancy when bound to mitochondria. Oncogene. 2006;25:4777–4786.
    1. Mears AJ, Kondo M, Swain PK, Takada Y, Bush RA, Saunders TL, Sieving PA, Swaroop A. Nrl is required for rod photoreceptor development. Nat Genet. 2001;29:447–452.
    1. Mergenthaler P, Kahl A, Kamitz A, van Laak V, Stohlmann K, Thomsen S, Klawitter H, Przesdzing I, Neeb L, Freyer D, et al. Mitochondrial hexokinase II (HKII) and phosphoprotein enriched in astrocytes (PEA15) form a molecular switch governing cellular fate depending on the metabolic state. Proc Natl Acad Sci USA. 2012;109:1518–1523.
    1. Mergenthaler P, Lindauer U, Dienel GA, Meisel A. Sugar for the brain: the role of glucose in physiological and pathological brain function. Trends Neurosci. 2013;36:587–597.
    1. Narayan DS, Chidlow G, Wood JP, Casson RJ. Glucose metabolism in mammalian photoreceptor inner and outer segments. Clin Experiment Ophthalmol. 2017;45:730–741.
    1. Nikonov SS, Brown BM, Davis JA, Zuniga FI, Bragin A, Pugh EN, Jr, Craft CM. Mouse cones require an arrestin for normal inactivation of phototransduction. Neuron. 2008;59:462–474.
    1. Okawa H, Sampath AP, Laughlin SB, Fain GL. ATP consumption by mammalian rod photoreceptors in darkness and in light. Curr Biol. 2008;18:1917–1921.
    1. Patra KC, Wang Q, Bhaskar PT, Miller L, Wang Z, Wheaton W, Chandel N, Laakso M, Muller WJ, Allen EL, et al. Hexokinase 2 is required for tumor initiation and maintenance and its systemic deletion is therapeutic in mouse models of cancer. Cancer Cell. 2013;24:213–228.
    1. Pellerin L, Magistretti PJ. Glutamate uptake into astrocytes stimulates aerobic glycolysis: a mechanism coupling neuronal activity to glucose utilization. Proc Natl Acad Sci USA. 1994;91:10625–10629.
    1. Perkins GA, Ellisman MH, Fox DA. Three-dimensional analysis of mouse rod and cone mitochondrial cristae architecture: bioenergetic and functional implications. Mol Vis. 2003;9:60–73.
    1. Petit L, Lhériteau E, Weber M, Le Meur G, Deschamps JY, Provost N, Mendes-Madeira A, Libeau L, Guihal C, Colle MA, et al. Restoration of vision in the pde6β-deficient dog, a large animal model of rod-cone dystrophy. Mol Ther. 2012;20:2019–2030.
    1. Petit L, Khanna H, Punzo C. Advances in gene therapy for diseases of the eye. Hum Gene Ther. 2016;27:563–579.
    1. Petit L, Ma S, Cheng SY, Gao G, Punzo C. Rod outer segment development influences AAV-mediated photoreceptor transduction after subretinal injection. Hum Gene Ther. 2017;28:464–481.
    1. Poitry-Yamate CL, Poitry S, Tsacopoulos M. Lactate released by Müller glial cells is metabolized by photoreceptors from mammalian retina. J Neurosci. 1995;15:5179–5191.
    1. Punzo C, Kornacker K, Cepko CL. Stimulation of the insulin/mTOR pathway delays cone death in a mouse model of retinitis pigmentosa. Nat Neurosci. 2009;12:44–52.
    1. Rajala A, Gupta VK, Anderson RE, Rajala RV. Light activation of the insulin receptor regulates mitochondrial hexokinase. A possible mechanism of retinal neuroprotection. Mitochondrion. 2013;13:566–576.
    1. Read JA, Winter VJ, Eszes CM, Sessions RB, Brady RL. Structural basis for altered activity of M- and H-isozyme forms of human lactate dehydrogenase. Proteins. 2001;43:175–185.
    1. Reidel B, Thompson JW, Farsiu S, Moseley MA, Skiba NP, Arshavsky VY. Proteomic profiling of a layered tissue reveals unique glycolytic specializations of photoreceptor cells. Mol Cell Proteomics. 2011;10:M110 002469.
    1. Rempel A, Mathupala SP, Griffin CA, Hawkins AL, Pedersen PL. Glucose catabolism in cancer cells: amplification of the gene encoding type II hexokinase. Cancer Res. 1996;56:2468–2471.
    1. Riddle SR, Ahmad A, Ahmad S, Deeb SS, Malkki M, Schneider BK, Allen CB, White CW. Hypoxia induces hexokinase II gene expression in human lung cell line A549. Am J Physiol Lung Cell Mol Physiol. 2000;278:L407–L416.
    1. Roberts DJ, Miyamoto S. Hexokinase II integrates energy metabolism and cellular protection: Akting on mitochondria and TORCing to autophagy. Cell Death Differ. 2015;22:248–257.
    1. Roberts DJ, Tan-Sah VP, Smith JM, Miyamoto S. Akt phosphorylates HK-II at Thr-473 and increases mitochondrial HK-II association to protect cardiomyocytes. J Biol Chem. 2013;288:23798–23806.
    1. Rueda EM, Johnson JE, Jr, Giddabasappa A, Swaroop A, Brooks MJ, Sigel I, Chaney SY, Fox DA. The cellular and compartmental profile of mouse retinal glycolysis, tricarboxylic acid cycle, oxidative phosphorylation, and ~P transferring kinases. Mol Vis. 2016;22:847–885.
    1. Stone J, van Driel D, Valter K, Rees S, Provis J. The locations of mitochondria in mammalian photoreceptors: relation to retinal vasculature. Brain Res. 2008;1189:58–69.
    1. Valvona CJ, Fillmore HL, Nunn PB, Pilkington GJ. The Regulation and Function of Lactate Dehydrogenase A: Therapeutic Potential in Brain Tumor. Brain Pathol. 2016;26:3–17.
    1. Vander Heiden MG, Cantley LC, Thompson CB. Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science. 2009;324:1029–1033.
    1. Venkatesh A, Ma S, Langellotto F, Gao G, Punzo C. Retinal gene delivery by rAAV and DNA electroporation. Curr Protoc Microbiol. 2013;Chapter 14(Unit 14D.14)
    1. Venkatesh A, Ma S, Le YZ, Hall MN, Rüegg MA, Punzo C. Activated mTORC1 promotes long-term cone survival in retinitis pigmentosa mice. J Clin Invest. 2015;125:1446–1458.
    1. Wang L, Kondo M, Bill A. Glucose metabolism in cat outer retina. Effects of light and hyperoxia. Invest Ophthalmol Vis Sci. 1997;38:48–55.
    1. Wang W, Fernandez de Castro J, Vukmanic E, Zhou L, Emery D, Demarco PJ, Kaplan HJ, Dean DC. Selective rod degeneration and partial cone inactivation characterize an iodoacetic acid model of Swine retinal degeneration. Invest Ophthalmol Vis Sci. 2011;52:7917–7923.
    1. Wang W, Lee SJ, Scott PA, Lu X, Emery D, Liu Y, Ezashi T, Roberts MR, Ross JW, Kaplan HJ, Dean DC. Two-step reactivation of dormant cones in retinitis pigmentosa. Cell Rep. 2016;15:372–385.
    1. Wilson JE. Isozymes of mammalian hexokinase: structure, subcellular localization and metabolic function. J Exp Biol. 2003;206:2049–2057.
    1. Winkler BS. Glycolytic and oxidative metabolism in relation to retinal function. J Gen Physiol. 1981;77:667–692.
    1. Wolf A, Agnihotri S, Micallef J, Mukherjee J, Sabha N, Cairns R, Hawkins C, Guha A. Hexokinase 2 is a key mediator of aerobic glycolysis and promotes tumor growth in human glioblastoma multiforme. J Exp Med. 2011;208:313–326.
    1. Woo YM, Shin Y, Lee EJ, Lee S, Jeong SH, Kong HK, Park EY, Kim HK, Han J, Chang M, Park JH. Inhibition of aerobic glycolysis represses Akt/mTOR/HIF-1α axis and restores tamoxifen sensitivity in antiestrogen-resistant breast cancer cells. PLoS ONE. 2015;10:e0132285.
    1. Wubben TJ, Pawar M, Smith A, Toolan K, Hager H, Besirli CG. Photoreceptor metabolic reprogramming provides survival advantage in acute stress while causing chronic degeneration. Sci Rep. 2017;7:17863.
    1. Zhang L, Du J, Justus S, Hsu CW, Bonet-Ponce L, Wu WH, Tsai YT, Wu WP, Jia Y, Duong JK, et al. Reprogramming metabolism by targeting sirtuin 6 attenuates retinal degeneration. J Clin Invest. 2016;126:4659–4673.
    1. Zheng X, Boyer L, Jin M, Mertens J, Kim Y, Ma L, Ma L, Hamm M, Gage FH, Hunter T. Metabolic reprogramming during neuronal differentiation from aerobic glycolysis to neuronal oxidative phosphorylation. eLife. 2016;5:e13374.
    1. Zieger M, Punzo C. Improved cell metabolism prolongs photoreceptor survival upon retinal-pigmented epithelium loss in the sodium iodate induced model of geographic atrophy. Oncotarget. 2016;7:9620–9633.

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