Preview

Vavilov Journal of Genetics and Breeding

Advanced search

Whole genome sequencing identifies genetic variants associated with senescence-accelerated phenotype of OXYS rats

https://doi.org/10.18699/vjgb-26-90

Abstract

Age is the primary risk factor for age-related diseases, the early onset of which manifests as premature aging, whereas delayed development forms the basis for healthy aging and longevity. Adverse genetic variants contribute to premature aging and its diverse manifestations, including increased multimorbidity. Identifying the genetic underpinnings of premature aging and developing preventive approaches are essential to extending the human healthspan, which requires fundamental research using animal models. In this study, we performed whole-genome sequencing (coverage depth >25×) of OXYS rats – a unique model of premature aging characterized by the early onset of geriatric disorders, including cataracts, AMD-like retinopathy, Alzheimer’s disease-like pathology, osteoporosis, sarcopenia, and hypertrophic cardiomyopathy – using the parental Wistar/Icgn rat strain as a control. The screening for singlenucleotide variants (SNVs), short insertions/deletions (indels), and copy number variations (CNVs) and comparative genomic analysis revealed genetic variants unique to OXYS rats that are absent in other rat strains. Specifically, we identified a large deletion in the Fat1 enhancer, deletions in the promoter regions of Abcf1 and Gsta6, and missense variants in Cic, Akap6, Nqo2, Cerkl, Bfsp1, and Cmya5 that lead to amino acid substitutions in highly conserved protein regions. Bioinformatic analysis suggested that these variants may contribute to the key features of premature aging in OXYS rats. Notably, deletions in the Fat1 enhancer and Gsta6 promoter, alongside missense substitutions in Cic, Akap6, and Nqo2, may drive early neurodegeneration and cognitive deficits by disrupting neurogenesis, reducing neuronal survival, and impairing antioxidant defense. The deletion in the Abcf1 promoter and the missense variants in Cerkl may induce retinopathy features by disrupting retinal homeostasis and weakening the protection of photoreceptors and retinal pigment epithelium (RPE) cells against oxidative stress and apoptosis. Furthermore, the missense substitution in Bfsp1 likely contributes to early cataract development by reducing the stability of lens intermediate filaments. Finally, missense variants in Cmya5 and Akap6 may promote sarcopenia and cardiomyopathy via the destabilization of myofibrils in skeletal muscles and cardiomyocytes (Cmya5) and through impaired skeletal muscle regeneration and structural disorganization of cardiomyocytes (Akap6).

About the Authors

V. M. Petrova
Sirius University of Science and Technology
Russian Federation

Sirius Federal Territory, Krasnodar region



M. S. Protasova
Sirius University of Science and Technology; Vavilov Institute of General Genetics of the Russian Academy of Sciences
Russian Federation

Sirius Federal Territory, Krasnodar region, Moscow



A. D. Manakhov
Sirius University of Science and Technology; Vavilov Institute of General Genetics of the Russian Academy of Sciences
Russian Federation

Sirius Federal Territory, Krasnodar region. Moscow



N. A. Stefanova
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



N. G. Kolosova
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Novosibirsk



E. I. Rogaev
UMass Chan Medical School, Department of Psychiatry
United States

Shrewsbury



References

1. Abramson J., Adler J., Dunger J., Evans R., Green T., Pritzel A., Ronneberger O., … Bapst V., Kohli P., Jaderberg M., Hassabis D., Jumper J.M. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature. 2024;630(8016):493-500. doi 10.1038/s41586-024-07487-w

2. Abyzov A., Urban A.E., Snyder M., Gerstein M. CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing. Genome Res. 2011;21(6):974-984. doi 10.1101/gr.114876.110

3. Ahmed A.F., De Bock C.E., Lincz L.F., Pundavela J., Zouikr I., Sontag E., Hondermarck H., Thorne R.F. FAT1 cadherin acts upstream of Hippo signalling through TAZ to regulate neuronal differentiation. Cell Mol Life Sci. 2015;72(23):4653-4669. doi 10.1007/s00018-015-1955-6

4. Aleman T.S., Soumittra N., Cideciyan A.V., Sumaroka A.M., Ramprasad V.L., Herrera W., Windsor E.A.M., … Inglehearn C.F., Kumaramanickavel G., Stone E.M., Fishman G.A., Jacobson S.G. CERKL mutations cause an autosomal recessive cone-rod dystrophy with inner retinopathy. Invest Ophthalmol Vis Sci. 2009;50(12):5944. doi 10.1167/iovs.09-3982

5. Andrews S. FastQC: a quality control tool for high throughput sequence data. Version 0.11.9. 2010. Available at: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ (Accessed 12.25.25)

6. Andrews S.J., Das D., Anstey K.J., Easteal S. Association of AKAP6 and MIR2113 with cognitive performance in a population-based sample of older adults. Genes Brain Behav. 2017;16(4):410-418. doi 10.1111/gbb.12368

7. Broad Institute. Picard Toolkit. Version 2.26.11. 2022. Available at: https://broadinstitute.github.io/picard/ (Accessed 12.25.25)

8. Chung C.Y.T., Lo P.H.Y., Lee K.K.H. Babam2 regulates cell cycle progression and pluripotency in mouse embryonic stem cells as revealed by induced DNA damage. Biomedicines. 2020;8(10):397. doi 10.3390/biomedicines8100397

9. Danecek P., Bonfield J.K., Liddle J., Marshall J., Ohan V., Pollard M.O., Whitwham A., Keane T., McCarthy S.A., Davies R.M., Li H. Twelve years of SAMtools and BCFtools. GigaScience. 2021;10(2):giab008. doi 10.1093/gigascience/giab008

10. Davidson N.O., Shelness G.S. Apolipoprotein B: mRNA editing, lipoprotein assembly, and presecretory degradation. Annu Rev Nutr. 2000;20(1):169-193. doi 10.1146/annurev.nutr.20.1.169

11. de la Cruz N., Bromberg S., Pasko D., Shimoyama M., Twigger S., Chen J., Chen C.F., … Zuniga-Meyer A., Zhao L., Kwitek A., Tonellato P., Jacob H. The Rat Genome Database (RGD): developments towards a phenome database. Nucleic Acids Res. 2004;33(D1): D485-D491. doi 10.1093/nar/gki050

12. Devyatkin V.A., Muraleva N.A., Kolosova N.G. Identification of singlenucleotide polymorphisms in mitochondria-associated genes capable of affecting the development of hypertrophic cardiomyopathy in senescence-accelerated OXYS rats. Adv Gerontol. 2020a;10(2):121- 127. doi 10.1134/S2079057020020058

13. Devyatkin V.A., Redina O.E., Kolosova N.G., Muraleva N.A. Singlenucleotide polymorphisms associated with the senescence-accelerated phenotype of OXYS rats: a focus on Alzheimer’s disease-like and age-related-macular-degeneration-like pathologies. J Alzheimer’s Dis. 2020b;73(3):1167-1183. doi 10.3233/JAD-190956

14. Di Paolo G., Kim T.-W. Linking lipids to Alzheimer’s disease: cholesterol and beyond. Nat Rev Neurosci. 2011;12(5):284-296. doi 10.1038/nrn3012

15. Dodge-Kafka K.L., Soughayer J., Pare G.C., Carlisle Michel J.J., Langeberg L.K., Kapiloff M.S., Scott J.D. The protein kinase A anchoring protein mAKAP coordinates two integrated cAMP effector pathways. Nature. 2005;437(7058):574-578. doi 10.1038/nature03966

16. Dyer S.C., Austine-Orimoloye O., Azov A.G., Barba M., Barnes I., Barrera-Enriquez V.P., Becker A., … Finn R.D., Freeberg M.A., Harrison P.W., Martin F.J., Yates A.D. Ensembl 2025. Nucleic Acids Res. 2025;53(D1):D948-D957. doi 10.1093/nar/gkae1071

17. Eilbeck K., Lewis S.E., Mungall C.J., Yandell M., Stein L., Durbin R., Ashburner M. The Sequence Ontology: a tool for the unification of genome annotations. Genome Biol. 2005;6(5):R44. doi 10.1186/gb-2005-6-5-r44

18. El’darov Ch.M., Vays V.B., Vangeli I.M., Kolosova N.G., Bakeeva L.E. Morphometric examination of mitochondrial ultrastructure in aging cardiomyocytes. Biochemistry (Moscow). 2015;80(5):604-609. doi 10.1134/S0006297915050132

19. Figueira I., Fernandes A., Mladenovic Djordjevic A., Lopez-Contreras A., Henriques C.M., Selman C., Ferreiro E., Gonos E.S., Trejo J.L., Misra J., Rasmussen L.J., Xapelli S., Ellam T., Bellantuono I. Interventions for age-related diseases: shifting the paradigm. Mech Ageing Dev. 2016;160:69-92. doi 10.1016/j.mad.2016.09.009

20. Flood C., Gustafsson M., Pitas R.E., Arnaboldi L., Walzem R.L., Borén J. Molecular mechanism for changes in proteoglycan binding on compositional changes of the core and the surface of lowdensity lipoprotein-containing human apolipoprotein B100. Arterioscler Thromb Vasc Biol. 2004;24(3):493-500. doi 10.1161/01.ATV.0000117174.19078.85

21. Forman H.J., Zhang H., Rinna A. Glutathione: overview of its protective roles, measurement, and biosynthesis. Mol Aspects Med. 2009; 30(1-2):1-12. doi 10.1016/j.mam.2008.08.006

22. García-Arroyo R., Gavaldà-Navarro A., Villarroya F., Marfany G., Mirra S. Overexpression of CERKL protects retinal pigment epithelium mitochondria from oxidative stress effects. Antioxidants. 2021; 10(12):2018. doi 10.3390/antiox10122018

23. García-Arroyo R., Marfany G., Mirra S. CERKL, a retinal dystrophy gene, regulates mitochondrial transport and dynamics in hippocampal neurons. Int J Mol Sci. 2022;23(19):11593. doi 10.3390/ijms23

24. Ghanbari-Niaki A., Khabazian B.M., Hossaini-Kakhak S.A., Rahbarizadeh F., Hedayati M. Treadmill exercise enhances ABCA1 expression in rat liver. Biochem Biophys Res Commun. 2007;361(4):841- 846. doi 10.1016/j.bbrc.2007.07.100

25. Guo F., Ding Y., Caberoy N., Alvarado G., Wang F., Chen R., Li W. ABCF1 extrinsically regulates retinal pigment epithelial cell phagocytosis. Mol Biol Cell. 2015;26(12):2311-2320. doi 10.1091/mbc.E14-09-1343

26. Helmbacher F. Tissue-specific activities of the Fat1 cadherin cooperate to control neuromuscular morphogenesis. PLoS Biol. 2018;16(5): e2004734. doi 10.1371/journal.pbio.2004734

27. Holstege H., Hulsman M., Charbonnier C., Grenier-Boley B., Quenez O., Grozeva D., van Rooij J.G.J., … van Duijn C.M., Williams J., Nicolas G., Bellenguez C., Lambert J.C. Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease. Nat Genet. 2022;54(12):1786-1794. doi 10.1038/s41588-022-01208-7

28. Hourigan B., Balay S.D., Yee G., Sharma S., Tan Q. Capicua regulates the development of adult-born neurons in the hippocampus. Sci Rep. 2021;11(1):11725. doi 10.1038/s41598-021-91168-5

29. Islam F., Shilton B.H. Insights into the cellular function and mechanism of action of quinone reductase 2 (NQO2). Biochem J. 2025;482(6): 309-324. doi 10.1042/BCJ20240103

30. Janda E., Boutin J.A., De Lorenzo C., Arbitrio M. Polymorphisms and pharmacogenomics of NQO2: the past and the future. Genes. 2024; 15(1):87. doi 10.3390/genes15010087

31. Jiang Z., Zhang W., Zeng Z., Tang D., Li C., Cai W., Chen Y., Li Y., Jin Q., Zhang X., Yin L., Liu X., Xu Y., Dai Y. A comprehensive investigation discovered the novel methyltransferase METTL24 as one presumably prognostic gene for kidney renal clear cell carcinoma potentially modulating tumor immune microenvironment. Front Immunol. 2022;13:926461. doi 10.3389/fimmu.2022.926461

32. Kolosova N.G., Aidagulova S.V., Nepomnyashchikh G.I., Shabalina I.G., Shalbueva N.I. Dynamics of structural and functional changes in hepatocyte mitochondria of senescence-accelerated OXYS rats. Bull Exp Biol Med. 2001;132(2):814-819. doi 10.1023/a:1013014919721

33. Kolosova N.G., Shcheglova T.V., Sergeeva S.V., Loskutova L.V. Longterm antioxidant supplementation attenuates oxidative stress markers and cognitive deficits in senescent-accelerated OXYS rats. Neurobiol Aging. 2006;27(9):1289-1297. doi 10.1016/j.neurobiolaging.2005.07.022

34. Kolosova N.G., Stefanova N.A., Korbolina E.E., Fursova A.Zh., Kozhevnikova O.S. Senescence-accelerated OXYS rats: a genetic model of premature aging and age-related diseases. Adv Gerontol. 2014;4(4):294-298. doi 10.1134/S2079057014040146

35. Lee S.W., Won J.Y., Yang J., Lee J., Kim S.Y., Lee E.J., Kim H.S. AKAP6 inhibition impairs myoblast differentiation and muscle regeneration: positive loop between AKAP6 and myogenin. Sci Rep. 2015;5:16523. doi 10.1038/srep16523

36. Li H., Durbin R. Fast and accurate short read alignment with Burrows– Wheeler transform. Bioinformatics. 2009;25(14):1754-1760. doi 10.1093/bioinformatics/btp324

37. Li H., Handsaker B., Wysoker A., Fennell T., Ruan J., Homer N., Marth G., Abecasis G., Durbin R.; 1000 Genome Project Data Processing Subgroup. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078-2079. doi 10.1093/bioinformatics/btp352

38. Li Q., Ching A.K.-K., Chan B.C.-L., Chow S.K.-Y., Lim P.-L., Ho T.C.-Y., Ip W.-K., Wong C.-K., Lam C.W.-K., Lee K.K.-H., Chan J.Y.-H., Chui Y.-L. A death receptor-associated anti-apoptotic protein, BRE, inhibits mitochondrial apoptotic pathway. J Biol Chem. 2004;279(50):52106-52116. doi 10.1074/jbc.M408678200

39. Lu F., Ma Q., Xie W., Liou C.L., Zhang D., Sweat M.E., Jardin B.D., Naya F.J., Guo Y., Cheng H., Pu W.T. CMYA5 establishes cardiac dyad architecture and positioning. Nat Commun. 2022;13(1):2185. doi 10.1038/s41467-022-29902-4

40. Mackiewicz J., Tomczak J., Lisek M., Guo F., Boczek T. AKAP6 controls NFATc4 activity for BDNF-mediated neuroprotection. Mol Brain. 2024;17(1):85. doi 10.1186/s13041-024-01157-8

41. Markovets A.M., Saprunova V.B., Zhdankina A.A., Fursova A.Zh., Bakeeva L.E., Kolosova N.G. Alterations of retinal pigment epithelium cause AMD-like retinopathy in senescence-accelerated OXYS rats. Aging. 2010;3(1):44-54. doi 10.18632/aging.100243

42. McKenna A., Hanna M., Banks E., Sivachenko A., Cibulskis K., Kernytsky A., Garimella K., Altshuler D., Gabriel S., Daly M., DePristo M.A. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20(9):1297-1303. doi 10.1101/gr.107524.110

43. McLaren W., Gil L., Hunt S.E., Riat H.S., Ritchie G.R.S., Thormann A., Flicek P., Cunningham F. The Ensembl Variant Effect Predictor. Genome Biol. 2016;17(1):122. doi 10.1186/s13059-016-0974-4

44. Mirra S., García-Arroyo R., B. Domènech E., Gavaldà-Navarro A., Herrera-Úbeda C., Oliva C., Garcia-Fernàndez J., Artuch R., Villarroya F., Marfany G. CERKL, a retinal dystrophy gene, regulates mitochondrial function and dynamics in the mammalian retina. Neurobiol Dis. 2021;156:105405. doi 10.1016/j.nbd.2021.105405

45. Muraleva N.A., Devyatkin V.A., Kolosova N.G. Phosphorylation of αB-crystallin in the myocardium: analysis of relations with aging and cardiomyopathy. Exp Gerontol. 2017;95:26-33. doi 10.1016/j.exger.2017.05.009

46. Okonechnikov K., Golosova O., Fursov M.; UGENE team. Unipro UGENE: a unified bioinformatics toolkit. Bioinformatics. 2012; 28(8):1166-1167. doi 10.1093/bioinformatics/bts091

47. Öörni K., Lorey M.B. Beyond cholesterol: linking the conformation of apolipoprotein B to atherogenesis. Curr Opin Lipidol. 2025;36(5): 226-231. doi 10.1097/MOL.0000000000000997

48. Oram J.F. HDL apolipoproteins and ABCA1: partners in the removal of excess cellular cholesterol. Arterioscler Thromb Vasc Biol. 2003; 23(5):720-727. doi 10.1161/01.ATV.0000054662.44688.9A

49. Pedersen B.S., Layer R., Quinlan A.R. smoove: structural-variant calling and genotyping with existing tools. 2020. Available at: https://github.com/brentp/smoove (Accessed 12.25.25)

50. Peng Z., Gong Y., Liang X. Role of FAT1 in health and disease. Oncol Lett. 2021;21(5):398. doi 10.3892/ol.2021.12659

51. Perng M.-D., Zhang Q., Quinlan R.A. Insights into the beaded filament of the eye lens. Exp Cell Res. 2007;313(10):2180-2188. doi 10.1016/j.yexcr.2007.04.005

52. Purcell S., Neale B., Todd-Brown K., Thomas L., Ferreira M.A.R., Bender D., Maller J., Sklar P., de Bakker P.I.W., Daly M.J., Sham P.C. PLINK: a tool set for whole-genome association and populationbased linkage analyses. Am J Hum Genet. 2007;81(3):559-575. doi 10.1086/519795

53. Quinlan A.R., Hall I.M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 2010;26(6):841-842. doi 10.1093/bioinformatics/btq033

54. RatGTEx Consortium. RatGTEx Portal, version 4. UC San Diego. 2021. Available at: https://ratgtex.org,RRID:SCR_022145 (Accessed 12.25.25)

55. Rayan N.A., Kumar V., Aow J., Rastegar N., Lim M.G.L., O’Toole N., Aliwarga E., … Anacker C., Hen R., Parent C., Meaney M.J., Prabhakar S. Integrative multi-omics landscape of fluoxetine action across 27 brain regions reveals global increase in energy metabolism and region-specific chromatin remodelling. Mol Psychiatry. 2022; 27(11):4510-4525. doi 10.1038/s41380-022-01725-1

56. Riascos-Bernal D.F., Ressa G., Korrapati A., Sibinga N.E.S. The FAT1 cadherin drives vascular smooth muscle cell migration. Cells. 2023; 12(12):1621. doi 10.3390/cells12121621

57. Robinson J.T., Thorvaldsdóttir H., Winckler W., Guttman M., Lander E.S., Getz G., Mesirov J.P. Integrative genomics viewer. Nat Biotechnol. 2011;29(1):24-26. doi 10.1038/nbt.1754

58. Rousseaux M.W., Tschumperlin T., Lu H.C., Lackey E.P., Bondar V.V., Wan Y.W., Tan Q., Adamski C.J., Friedrich J., Twede H., Clark G.D., Zoghbi H.Y. ATXN1-CIC complex is the primary driver of cerebellar pathology in spinocerebellar ataxia type 1 through a gain-of-function mechanism. Neuron. 2018;97(6):1235-1243.e5. doi 10.1016/j.neuron.2018.02.013

59. Rudnitskaya E.A., Kozlova T.A., Burnyasheva A.O., Tarasova A.E., Pankova T.M., Starostina M.V., Stefanova N.A., Kolosova N.G. Features of postnatal hippocampal development in a rat model of sporadic Alzheimer’s disease. Front Neurosci. 2020;14:533. doi 10.3389/fnins.2020.00533

60. Sarparanta J. Biology of myospryn: what’s known? J Muscle Res Cell Motil. 2008;29(6-8):177-180. doi 10.1007/s10974-008-9165-6

61. Sarparanta J., Blandin G., Charton K., Vihola A., Marchand S., Milic A., Hackman P., Ehler E., Richard I., Udd B. Interactions with M-band titin and calpain 3 link myospryn (CMYA5) to tibial and limb-girdle muscular dystrophies. J Biol Chem. 2010;285(39):30304-30315. doi 10.1074/jbc.M110.108720

62. Sattarova E.A., Sinitsyna O.I., Vasyunina E.A., Duzhak A.B., Kolosova N.G., Zharkov D.O., Nevinsky G.A. Age-dependent guanine oxidation in DNA of different brain regions of Wistar rats and prematurely aging OXYS rats. Biochim Biophys Acta. 2013;1830(6): 3542-3552. doi 10.1016/j.bbagen.2013.01.027

63. Schubert M., Lindgreen S., Orlando L. AdapterRemoval v2: rapid adapter trimming, identification, and read merging. BMC Res Notes. 2016;9(1):88. doi 10.1186/s13104-016-1900-2

64. Sen P., Maitra P., Natarajan S., Sripriya S., Mathavan S., Bhende M., Manchegowda P.T. CERKL mutation causing retinitis pigmentosa(RP) in Indian population – a genotype and phenotype correlation study. Ophthalmic Genet. 2020;41(6):570-578. doi 10.1080/13816810.2020.1814347

65. Song S., Landsbury A., Dahm R., Liu Y., Zhang Q., Quinlan R.A. Functions of the intermediate filament cytoskeleton in the eye lens. J Clin Invest. 2009;119(7):1837-1848. doi 10.1172/JCI38277

66. Stefanova N.A., Kolosova N.G. The rat brain transcriptome: from infancy to aging and sporadic Alzheimer’s disease-like pathology. Int J Mol Sci. 2023;24(2):1462. doi 10.3390/ijms24021462

67. Stefanova N., Kozhevnikova O., Vitovtov A., Maksimova K., Logvinov S., Rudnitskaya E., Korbolina E., Muraleva N., Kolosova N. Senescence-accelerated OXYS rats: a model of age-related cognitive decline with relevance to abnormalities in Alzheimer disease. Cell Cycle. 2014;13(6):898-909. doi 10.4161/cc.28255

68. Stefanova N.A., Maksimova K.Y., Rudnitskaya E.A., Muraleva N.A., Kolosova N.G. Association of cerebrovascular dysfunction with the development of Alzheimer’s disease-like pathology in OXYS rats. BMC Genomics. 2018;19(Suppl.3):75. doi 10.1186/s12864-018-4480-9

69. Suvakov M., Panda A., Diesh C., Holmes I., Abyzov A. CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing. GigaScience. 2021;10(11):giab074. doi 10.1093/gigascience/giab074

70. Telegina D.V., Korbolina E.E., Ershov N.I., Kolosova N.G., Kozhevnikova O.S. Identification of functional networks associated with cell death in the retina of OXYS rats during the development of retinopathy. Cell Cycle. 2015;14(22):3544-3556. doi 10.1080/15384101.2015.1080399

71. Tikhonova M.A., Yu C.H., Kolosova N.G., Gerlinskaya L.A., Maslennikova S.O., Yudina A.V., Loskutov Y.V., Aftanas L.I. Comparison of behavioral and biochemical deficits in rats with hereditary defined or D-galactose-induced accelerated senescence: evaluating the protective effects of diosgenin. Pharmacol Biochem Behav. 2014;120:7-16. doi 10.1016/j.pbb.2014.01.012

72. Tomczak J., Mackiewicz J., Lisek M., Kaluza A., Boczek T. Exploring AKAPs in visual signaling. Front Mol Neurosci. 2024;17:1412407. doi 10.3389/fnmol.2024.1412407

73. Tuson M., Marfany G., Gonzàlez-Duarte R. Mutation of CERKL, a novel human ceramide kinase gene, causes autosomal recessive retinitis pigmentosa (RP26). Am J Hum Genet. 2004;74(1):128-138. doi 10.1086/381055

74. Tyumentsev M.A., Stefanova N.A., Muraleva N.A., Rumyantseva Y.V., Kiseleva E., Vavilin V.A., Kolosova N.G. Mitochondrial dysfunction as a predictor and driver of Alzheimer’s disease-like pathology in OXYS rats. J Alzheimer’s Dis. 2018;63(3):1075-1088. doi 10.3233/JAD-180065

75. Vays V.B., Eldarov C.M., Vangely I.M., Kolosova N.G., Bakeeva L.E., Skulachev V.P. Antioxidant SkQ1 delays sarcopenia-associated damage of mitochondrial ultrastructure. Aging. 2014;6(2):140-148. doi 10.18632/aging.100636

76. Vergarajauregui S., Becker R., Steffen U., Sharkova M., Esser T., Petzold J., Billing F., Kapiloff M.S., Schett G., Thievessen I., Engel F.B. AKAP6 orchestrates the nuclear envelope microtubule-organizing center by linking Golgi and nucleus via AKAP9. eLife. 2020;9: e61669. doi 10.7554/elife.61669

77. Wang H., Ouyang G., Zhu Y. D348N mutation of BFSP1 gene in congenital cataract: it does matter. Cell Biochem Biophys. 2023;81(4): 757-763. doi 10.1007/s12013-023-01169-6

78. Wickham H. ggplot2. Use R! Springer Cham, 2016. doi 10.1007/978-3-319-24277-4

79. Wickham H., Averick M., Bryan J., Chang W., McGowan L., François R., Grolemund G., … Takahashi K., Vaughan D., Wilke C., Woo K., Yutani H. Welcome to the Tidyverse. J Open Source Software. 2019;4(43):1686. doi 10.21105/joss.01686

80. Wilcox S.M., Arora H., Munro L., Xin J., Fenninger F., Johnson L.A., Pfeifer C.G., Choi K.B., Hou J., Hoodless P.A., Jefferies W.A. The role of the innate immune response regulatory gene ABCF1 in mammalian embryogenesis and development. PLoS One. 2017;12(5): e0175918. doi 10.1371/journal.pone.0175918

81. Wong D., Yip S. Making heads or tails – the emergence of capicua (CIC) as an important multifunctional tumour suppressor. J Pathol. 2020;250(5):532-540. doi 10.1002/path.5400

82. Wu C., Orozco C., Boyer J., Leglise M., Goodale J., Batalov S., Hodge C.L., Haase J., Janes J., Huss J.W. 3rd, Su A.I. BioGPS: an extensible and customizable portal for querying and organizing gene annotation resources. Genome Biol. 2009;10(11):R130. doi 10.1186/gb-2009-10-11-r130

83. Yip S., Butterfield Y.S., Morozova O., Chittaranjan S., Blough M.D., An J., Birol I., … Jones S.J., Morin G.B., Chan J.A., Cairncross J.G., Marra M.A. Concurrent CIC mutations, IDH mutations, and 1p/19q loss distinguish oligodendrogliomas from other cancers. J Pathol. 2012;226(1):7-16. doi 10.1002/path.2995

84. Zhang Y., Liu T., Meyer C.A., Eeckhoute J., Johnson D.S., Bernstein B.E., Nusbaum C., Myers R.M., Brown M., Li W., Liu X.S. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008; 9(9):R137. doi 10.1186/gb-2008-9-9-r137

85. Zhdankina A.A., Tikhonov D.I., Logvinov S.V., Plotnikov M.B., Khlebnikov A.I., Kolosova N.G. Suppression of age-related macular degeneration-like pathology by c-Jun N-terminal kinase inhibitor IQ-1S. Biomedicines. 2023;11(2):395. doi 10.3390/biomedicines11020395

86. Zheng X., Kong W., Dai X., You C. YBX1 modulates 8-oxoguanine recognition and repair in DNA. ACS Chem Biol. 2025;20(2):433- 442. doi 10.1021/acschembio.4c00831


Review

Views: 146

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2500-3259 (Online)