Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Cell Death Discovery
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. cell death discovery
  3. articles
  4. article
Comparative phenotypic and molecular profiling of replicative and chemically-induced senescence in articular chondrocytes
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 23 February 2026

Comparative phenotypic and molecular profiling of replicative and chemically-induced senescence in articular chondrocytes

  • Maria Belen Arteaga1 na1,
  • Karyna Tarasova1 na1,
  • Angkana Kidtiwong1,
  • Sinan Gültekin1,
  • Iris Gerner1,2 na2 &
  • …
  • Florien Jenner  ORCID: orcid.org/0000-0002-6977-19841,2 na2 

Cell Death Discovery , Article number:  (2026) Cite this article

  • 15 Altmetric

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Osteoarthritis
  • Senescence

Abstract

Osteoarthritis (OA) is a degenerative joint disease characterized by the accumulation of senescent chondrocytes, which drive inflammation and cartilage degradation. However, in vitro models often fail to recapitulate the complexity of OA-associated senescence. This study compares three senescence induction strategies in chondrocytes—replicative senescence (HP), and stress-induced premature senescence (SIPS) via doxorubicin (DOX) and dexamethasone (DEX)—to establish a physiologically relevant in vitro model for OA research. To this end ovine chondrocytes (n = 3) were subjected to serial passaging (to P40) or exposed to optimized concentrations of DOX (50 nM) or DEX (1 µM). Low passage (P3) cells served as controls. Cellular senescence was assessed via proliferation assays, cell cycle analysis, SA-β-gal activity, telomere length, ROS levels, mitochondrial function, transcriptomic profiling (NGS), and high-resolution mass spectrometry proteomic analysis. All models induced key senescence hallmarks including cell cycle and proliferation arrest, increased SA-β-gal activity, and mitochondrial dysfunction. HP cells showed telomere shortening, ROS accumulation, ATP depletion, and SASP secretion. DOX induced strong DNA damage responses and elevated apoptosis markers, while DEX induced senescence without significant ROS or apoptosis, suggesting distinct SIPS mechanisms. Transcriptomics revealed convergent downregulation of oxidative phosphorylation and selenoamino acid metabolism pathways, implicating mitochondrial dysfunction and redox imbalance as shared features. However, HP induced broad transcriptional suppression, also of inflammatory pathways, while DOX and DEX activated immune and SASP-related pathways. Proteomics confirmed divergent secretory profiles, with DOX/DEX increasing SASP-factors and HP enriching matrix proteins. In summary, although all models recapitulate fundamental aspects of senescence, they diverge in stress responses, immune signaling, and apoptosis profiles. HP most closely mimics aging-associated senescence, whereas DOX and DEX model distinct SIPS relevant to oxidative or pharmacological stress. These findings underscore the importance of model selection in senescence-focused OA research and highlight mitochondrial dysfunction as a central mechanistic hub across senescence pathways.

Similar content being viewed by others

Extracellular vesicles enriched in connexin 43 promote a senescent phenotype in bone and synovial cells contributing to osteoarthritis progression

Article Open access 05 August 2022

Dexamethasone: a double-edged sword in the treatment of osteoarthritis

Article Open access 07 April 2025

Cross-talk of inflammation and cellular senescence: a new insight into the occurrence and progression of osteoarthritis

Article Open access 03 December 2024

Data availability

The datasets generated and analysed during the current study are included in the paper and its supplementary materials. Please use the following link for the deposited RNA-Seq data: https://dataview.ncbi.nlm.nih.gov/object/PRJNA1347060?reviewer=cunkk64deujh7e6iggfprgkje0.

References

  1. Cui A, Li H, Wang D, Zhong J, Chen Y, Lu H. Global, regional prevalence, incidence and risk factors of knee osteoarthritis in population-based studies. EClinicalMedicine. 2020;29:100587.

    Google Scholar 

  2. Arra M, Abu-Amer Y. Cross-talk of inflammation and chondrocyte intracellular metabolism in osteoarthritis. Osteoarthr Cartil. 2023;31:1012–21.

    Google Scholar 

  3. Thomas E, Peat G, Croft P. Defining and mapping the person with osteoarthritis for population studies and public health. Rheumatology. 2014;53:338–45.

    Google Scholar 

  4. Liu Y, Zhang Z, Li J, Chang B, Lin Q, Wang F, et al. Piezo1 transforms mechanical stress into pro senescence signals and promotes osteoarthritis severity. Mech Ageing Dev. 2023;216:111880.

    Google Scholar 

  5. Coryell PR, Diekman BO, Loeser RF. Mechanisms and therapeutic implications of cellular senescence in osteoarthritis. Nat Rev Rheumatol. 2021;17:47–57.

    Google Scholar 

  6. Bolduc JA, Collins JA, Loeser RF. Reactive oxygen species, aging and articular cartilage homeostasis. Free Radic Biol Med. 2019;132:73–82.

    Google Scholar 

  7. Mobasheri A, Matta C, Zákány R, Musumeci G. Chondrosenescence: definition, hallmarks and potential role in the pathogenesis of osteoarthritis. Maturitas. 2015;80:237–44.

    Google Scholar 

  8. Jiang W, Chen H, Lin Y, Cheng K, Zhou D, Chen R, et al. Mechanical stress abnormalities promote chondrocyte senescence - The pathogenesis of knee osteoarthritis. Biomed Pharmacother. 2023;167:115552.

    Google Scholar 

  9. Xu M, Bradley EW, Weivoda MM, Hwang SM, Pirtskhalava T, Decklever T, et al. Transplanted senescent cells induce an osteoarthritis-like condition in mice. J Gerontol Ser A: Biomed Sci Méd Sci. 2017;72:780–5.

    Google Scholar 

  10. Minguzzi M, Cetrullo S, D’Adamo S, Silvestri Y, Flamigni F, Borzì RM. Emerging players at the intersection of chondrocyte loss of maturational arrest, oxidative stress, senescence and low-grade inflammation in osteoarthritis. Oxid Med Cell Longev. 2018;2018:3075293.

    Google Scholar 

  11. Han Z, Wang K, Ding S, Zhang M. Cross-talk of inflammation and cellular senescence: a new insight into the occurrence and progression of osteoarthritis. Bone Res. 2024;12:69.

    Google Scholar 

  12. Ramasamy TS, Yee YM, Khan IM. Chondrocyte aging: the molecular determinants and therapeutic opportunities. Front Cell Dev Biol. 2021;9:625497.

    Google Scholar 

  13. Vidal-Bralo L, Lopez-Golan Y, Mera-Varela A, Rego-Perez I, Horvath S, Zhang Y, et al. Specific premature epigenetic aging of cartilage in osteoarthritis. Aging. 2016;8:2222–30.

    Google Scholar 

  14. Harbo M, Delaisse JM, Kjaersgaard-Andersen P, Soerensen FB, Koelvraa S, Bendix L. The relationship between ultra-short telomeres, aging of articular cartilage and the development of human hip osteoarthritis. Mech Ageing Dev. 2013;134:367–72.

    Google Scholar 

  15. Jeon OH, Kim C, Laberge R-M, Demaria M, Rathod S, Vasserot AP, et al. Local clearance of senescent cells attenuates the development of post-traumatic osteoarthritis and creates a pro-regenerative environment. Nat Med. 2017;23:775–81.

    Google Scholar 

  16. Jeon OH, David N, Campisi J, Elisseeff JH. Senescent cells and osteoarthritis: a painful connection. J Clin Investig. 2018;128:1229–37.

    Google Scholar 

  17. Martin JA, Buckwalter JA. Telomere erosion and senescence in human articular cartilage chondrocytes. J Gerontol Ser A: Biol Sci Méd Sci. 2001;56:B172–B179.

    Google Scholar 

  18. Ogrodnik, Acosta M, Adams JC, Fagagna PD, d’Adda di F, Baker DJ, et al. Guidelines for minimal information on cellular senescence experimentation in vivo. Cell. 2024;187:4150–75.

    Google Scholar 

  19. Ajoolabady A, Pratico D, Bahijri S, Tuomilehto J, Uversky VN, Ren J. Hallmarks of cellular senescence: biology, mechanisms, regulations. Exp Mol Med 2025;57:1482–1491.

  20. Rossiello F, Jurk D, Passos JF, Fagagna F, d’Adda di. Telomere dysfunction in ageing and age-related diseases. Nat Cell Biol. 2022;24:135–47.

    Google Scholar 

  21. Atasoy-Zeybek A, Hawse GP, Nagelli CV, Padilla CMLD, Abdel MP, Evans CH. Transcriptomic changes during the replicative senescence of human articular chondrocytes. Int J Mol Sci. 2024;25:12130.

    Google Scholar 

  22. Fragkiadaki P, Nikitovic D, Kalliantasi K, Sarandi E, Thanasoula M, Stivaktakis PD, et al. Telomere length and telomerase activity in osteoporosis and osteoarthritis. Exp Ther Med. 2020;19:1626–32.

    Google Scholar 

  23. Zhang X-X, He S-H, Liang X, Li W, Li T-F, Li D-F. Aging, cell senescence, the pathogenesis and targeted therapies of osteoarthritis. Front Pharm. 2021;12:728100.

    Google Scholar 

  24. Goldring MB, Otero M, Tsuchimochi K, Ijiri K, Li Y. Defining the roles of inflammatory and anabolic cytokines in cartilage metabolism. Ann Rheum Dis. 2008;67:iii75.

    Google Scholar 

  25. Roach H, Aigner T, Soder S, Haag J, Welkerling H. Pathobiology of osteoarthritis: pathomechanisms and potential therapeutic targets. Curr Drug Targets. 2007;8:271–82.

    Google Scholar 

  26. Liu Y, Zhang Z, Li T, Xu H, Zhang H. Senescence in osteoarthritis: from mechanism to potential treatment. Arthritis Res Ther. 2022;24:174.

    Google Scholar 

  27. Georget M, Defois A, Guiho R, Bon N, Allain S, Boyer C, et al. Development of a DNA damage-induced senescence model in osteoarthritic chondrocytes. Aging 2023;15:8576–93.

    Google Scholar 

  28. Wang N, He Y, Liu S, Makarcyzk MJ, Lei G, Chang A, et al. Engineering osteoarthritic cartilage model through differentiating senescent human mesenchymal stem cells for testing disease-modifying drugs. Sci China Life Sci. 2022;65:309–27.

    Google Scholar 

  29. Hayflick L, Moorhead PS. The serial cultivation of human diploid cell strains. Exp Cell Res. 1961;25:585–621.

    Google Scholar 

  30. Casella G, Munk R, Kim KM, Piao Y, De S, Abdelmohsen K, et al. Transcriptome signature of cellular senescence. Nucleic Acids Res. 2019;47:7294–305.

    Google Scholar 

  31. Tarasova K, Arteaga MB, Kidtiwong A, Gueltekin S, Bileck A, Gerner C, et al. Dexamethasone: a double-edged sword in the treatment of osteoarthritis. Sci Rep. 2025;15:11832.

    Google Scholar 

  32. Poulsen RC, Watts AC, Murphy RJ, Snelling SJ, Carr AJ, Hulley PA. Glucocorticoids induce senescence in primary human tenocytes by inhibition of sirtuin 1 and activation of the p53/p21 pathway: in vivo and in vitro evidence. Ann Rheum Dis. 2014;73:1405.

    Google Scholar 

  33. Bielak-Zmijewska A, Wnuk M, Przybylska D, Grabowska W, Lewinska A, Alster O, et al. A comparison of replicative senescence and doxorubicin-induced premature senescence of vascular smooth muscle cells isolated from human aorta. Biogerontology. 2014;15:47–64.

    Google Scholar 

  34. Hernandez-Segura A, Rubingh R, Demaria M. Identification of stable senescence-associated reference genes. Aging Cell. 2019;18:e12911.

    Google Scholar 

  35. Kirsch V, Ramge J-M, Schoppa A, Ignatius A, Riegger J. In vitro characterization of Doxorubicin-mediated stress-induced premature senescence in human chondrocytes. Cells. 2022;11:1106.

    Google Scholar 

  36. Black R, Grodzinsky A. Dexamethasone: chondroprotective corticosteroid or catabolic killer? Eur cells Mater. 2019;38:246–63.

    Google Scholar 

  37. Sabatini FM, Cohen-Rosenblum A, Eason TB, Hannon CP, Mounce SD, Krueger CA, et al. Incidence of rapidly progressive osteoarthritis following intra-articular hip corticosteroid injection: a systematic review and meta-analysis. Arthroplast Today. 2023;24:101242.

    Google Scholar 

  38. McAlindon TE, LaValley MP, Harvey WF, Price LL, Driban JB, Zhang M, et al. Effect of Intra-articular triamcinolone vs saline on knee cartilage volume and pain in patients with knee osteoarthritis: a randomized clinical trial. JAMA. 2017;317:1967–75.

    Google Scholar 

  39. Zeng C, Lane NE, Hunter DJ, Wei J, Choi HK, McAlindon TE, et al. Intra-articular corticosteroids and the risk of knee osteoarthritis progression: results from the Osteoarthritis Initiative. Osteoarthr Cartil. 2019;27:855–62.

    Google Scholar 

  40. Samuels J, Pillinger MH, Jevsevar D, Felson D, Simon LS. Critical appraisal of intra-articular glucocorticoid injections for symptomatic osteoarthritis of the knee. Osteoarthr Cartil. 2021;29:8–16.

    Google Scholar 

  41. Cao Y, Chen Z, Qin Z, Qian K, Liu T, Zhang Y. CDKN2AIP-induced cell senescence and apoptosis of testicular seminoma are associated with CARM1 and eIF4β. Acta Biochim Biophys Sin. 2022;54:604–14.

    Google Scholar 

  42. Passos JF, Saretzki G, Ahmed S, Nelson G, Richter T, Peters H, et al. Mitochondrial dysfunction accounts for the stochastic heterogeneity in telomere-dependent senescence. PLoS Biol. 2007;5:e110.

    Google Scholar 

  43. Miwa S, Kashyap S, Chini E, Zglinicki T, von. Mitochondrial dysfunction in cell senescence and aging. J Clin Investig. 2022;132:e158447.

    Google Scholar 

  44. Martini H, Passos JF. Cellular senescence: all roads lead to mitochondria. FEBS J. 2023;290:1186–202.

    Google Scholar 

  45. Hunter RG, Seligsohn M, Rubin TG, Griffiths BB, Ozdemir Y, Pfaff DW, et al. Stress and corticosteroids regulate rat hippocampal mitochondrial DNA gene expression via the glucocorticoid receptor. Proc Natl Acad Sci USA. 2016;113:9099–104.

    Google Scholar 

  46. Aoki S, Morita M, Hirao T, Yamaguchi M, Shiratori R, Kikuya M, et al. Shift in energy metabolism caused by glucocorticoids enhances the effect of cytotoxic anti-cancer drugs against acute lymphoblastic leukemia cells. Oncotarget. 2017;8:94271–85.

    Google Scholar 

  47. Weber K, Brück P, Mikes Z, Küpper J-H, Klingenspor M, Wiesner RJ. Glucocorticoid hormone stimulates mitochondrial biogenesis specifically in skeletal muscle. Endocrinology. 2002;143:177–84.

    Google Scholar 

  48. Luan G, Li G, Ma X, Jin Y, Hu N, Li J, et al. Dexamethasone-induced mitochondrial dysfunction and insulin resistance-study in 3T3-L1 adipocytes and mitochondria isolated from mouse liver. Molecules. 2019;24:1982.

    Google Scholar 

  49. Graybeal K, Sanchez L, Zhang C, Stiles L, Zheng JJ. Characterizing the metabolic profile of dexamethasone treated human trabecular meshwork cells. Exp Eye Res. 2022;214:108888.

    Google Scholar 

  50. Hammad G, Legrain Y, Touat-Hamici Z, Duhieu S, Cornu D, Bulteau A-L, et al. Interplay between selenium levels and replicative senescence in WI-38 human fibroblasts: a proteomic approach. Antioxidants. 2018;7:19.

    Google Scholar 

  51. Bjørklund G, Shanaida M, Lysiuk R, Antonyak H, Klishch I, Shanaida V, et al. Selenium: an antioxidant with a critical role in anti-aging. Molecules. 2022;27:6613.

    Google Scholar 

  52. Lee MY, Ojeda-Britez S, Ehrbar D, Samwer A, Begley TJ, Melendez JA. Selenoproteins and the senescence-associated epitranscriptome. Exp Biol Med. 2022;247:2090–102.

    Google Scholar 

  53. Blanco FJ, Rego I, Ruiz-Romero C. The role of mitochondria in osteoarthritis. Nat Rev Rheumatol. 2011;7:161–9.

    Google Scholar 

  54. Koike M, Nojiri H, Ozawa Y, Watanabe K, Muramatsu Y, Kaneko H, et al. Mechanical overloading causes mitochondrial superoxide and SOD2 imbalance in chondrocytes resulting in cartilage degeneration. Sci Rep. 2015;5:11722.

    Google Scholar 

  55. Toh WS, Brittberg M, Farr J, Foldager CB, Gomoll AH, Hui JHP, et al. Cellular senescence in aging and osteoarthritis. Acta Orthopaedica. 2016;87:6–14.

    Google Scholar 

  56. Diekman BO, Loeser RF. Aging and the emerging role of cellular senescence in osteoarthritis. Osteoarthr Cartil. 2024;32:365–71.

    Google Scholar 

  57. Mobasheri A, Rayman MP, Gualillo O, Sellam J, Kraan P, van der, et al. The role of metabolism in the pathogenesis of osteoarthritis. Nat Rev Rheumatol. 2017;13:302–11.

    Google Scholar 

  58. Iltis C, Moskalevska I, Debiesse A, Seguin L, Fissoun C, Cervera L, et al. A ganglioside-based immune checkpoint enables senescent cells to evade immunosurveillance during aging. Nat Aging. 2025;5:219–36.

    Google Scholar 

  59. Wang C, Kaur K, Xu C, Abu-Amer Y, Mbalaviele G. Chemotherapy activates inflammasomes to cause inflammation-associated bone loss. eLife. 2024;13:RP92885.

    Google Scholar 

  60. Ronchetti S, Ricci E, Migliorati G, Gentili M, Riccardi C. How glucocorticoids affect the neutrophil life. Int J Mol Sci. 2018;19:4090.

    Google Scholar 

  61. Kozhukharova I, Zemelko V, Kovaleva Z, Alekseenko L, Lyublinskaya O, Nikolsky N. Therapeutic doses of doxorubicin induce premature senescence of human mesenchymal stem cells derived from menstrual blood, bone marrow and adipose tissue. Int J Hematol. 2018;107:286–96.

    Google Scholar 

  62. Zhang X, Xiang S, Zhang Y, Liu S, Lei G, Hines S, et al. In vitro study to identify ligand-independent function of estrogen receptor-α in suppressing DNA damage-induced chondrocyte senescence. FASEB J. 2023;37:e22746.

    Google Scholar 

  63. Gilliam LAA, Fisher-Wellman KH, Lin C-T, Maples JM, Cathey BL, Neufer PD. The anticancer agent doxorubicin disrupts mitochondrial energy metabolism and redox balance in skeletal muscle. Free Radic Biol Med. 2013;65:988–96.

    Google Scholar 

  64. Ueno M, Kakinuma Y, Yuhki K, Murakoshi N, Iemitsu M, Miyauchi T, et al. Doxorubicin induces apoptosis by activation of Caspase-3 in cultured cardiomyocytes in vitro and rat cardiac ventricles in vivo. J Pharm Sci. 2006;101:151–8.

    Google Scholar 

  65. Kuznetsov AV, Margreiter R, Amberger A, Saks V, Grimm M. Changes in mitochondrial redox state, membrane potential and calcium precede mitochondrial dysfunction in doxorubicin-induced cell death. Biochim Biophys Acta (BBA) - Mol Cell Res. 2011;1813:1144–52.

    Google Scholar 

  66. Ma W, Brenmoehl J, Trakooljul N, Wimmers K, Murani E. Dexamethasone has profound influence on the energy metabolism of porcine blood leukocytes and prevents the LPS-induced glycolytic switch. Front Immunol. 2025;16:1514061.

    Google Scholar 

  67. Vaiserman A, Krasnienkov D. Telomere length as a marker of biological age: state-of-the-art, open issues, and future perspectives. Front Genet. 2021;11:630186.

    Google Scholar 

  68. Huang H-L, Hsing H-W, Lai T-C, Chen Y-W, Lee T-R, Chan H-T, et al. Trypsin-induced proteome alteration during cell subculture in mammalian cells. J Biomed Sci. 2010;17:36.

    Google Scholar 

  69. Halliwell B. Oxidative stress in cell culture: an under-appreciated problem? FEBS Lett. 2003;540:3–6.

    Google Scholar 

  70. Lordon B, Campion T, Gibot L, Gallot G. Impact of trypsin on cell cytoplasm during detachment of cells studied by terahertz sensing. Biophys J. 2024;123:2476–83.

    Google Scholar 

  71. Kurashina Y, Imashiro C, Hirano M, Kuribara T, Totani K, Ohnuma K, et al. Enzyme-free release of adhered cells from standard culture dishes using intermittent ultrasonic traveling waves. Commun Biol. 2019;2:393.

    Google Scholar 

  72. Ribitsch I, Bileck A, Egerbacher M, Gabner S, Mayer RL, Janker L, et al. Fetal immunomodulatory environment following cartilage injury—the key to CARTILAGE regeneration? Int J Mol Sci. 2021;22:12969.

    Google Scholar 

  73. Wahlmueller M, Narzt M-S, Missfeldt K, Arminger V, Krasensky A, Lämmermann I, et al. Establishment of in vitro models by stress-induced premature senescence for characterizing the stromal vascular niche in human adipose tissue. Life. 2022;12:1459.

    Google Scholar 

  74. Xue E, Zhang Y, Song B, Xiao J, Shi Z. Effect of autophagy induced by dexamethasone on senescence in chondrocytes. Mol Med Rep. 2016;14:3037–44.

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge the Vetcore facility of the University of Veterinary Medicine Vienna, especially Dr. Ursula Reichart and Dr. Stephan Handschuh for their support with Imunofluorescence assays by Zeiss Observer. The authors acknowledge the use of ChatGPT (OpenAI) for linguistic refinement of the manuscript. All intellectual content, data interpretation, and conclusions remain the sole responsibility of the authors.

Funding

Funded by wings4innovation and the KHAN-I technology transfer fund.

Author information

Author notes
  1. These authors contributed equally: Maria Belen Arteaga, Karyna Tarasova.

  2. These authors jointly supervised this work: Iris Gerner, Florien Jenner.

Authors and Affiliations

  1. Department for Small Animals and Horses, Centre for Equine Health and Research, Equine Surgery Unit, Veterinary Tissue Engineering and Regenerative Medicine Laboratory, University of Veterinary Medicine Vienna, Vienna, Austria

    Maria Belen Arteaga, Karyna Tarasova, Angkana Kidtiwong, Sinan Gültekin, Iris Gerner & Florien Jenner

  2. Austrian Cluster for Tissue Regeneration, Vienna, Austria

    Iris Gerner & Florien Jenner

Authors
  1. Maria Belen Arteaga
    View author publications

    Search author on:PubMed Google Scholar

  2. Karyna Tarasova
    View author publications

    Search author on:PubMed Google Scholar

  3. Angkana Kidtiwong
    View author publications

    Search author on:PubMed Google Scholar

  4. Sinan Gültekin
    View author publications

    Search author on:PubMed Google Scholar

  5. Iris Gerner
    View author publications

    Search author on:PubMed Google Scholar

  6. Florien Jenner
    View author publications

    Search author on:PubMed Google Scholar

Contributions

MBA and KT: study design, data acquisition, analysis and interpretation, manuscript preparation; AK and SG: data acquisition; IG: study design, data analysis and interpretation; FJ: study conception and design, data analysis and interpretation, manuscript preparation. All authors reviewed the manuscript.

Corresponding author

Correspondence to Florien Jenner.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Materials, Results, Figures and Tables

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Arteaga, M.B., Tarasova, K., Kidtiwong, A. et al. Comparative phenotypic and molecular profiling of replicative and chemically-induced senescence in articular chondrocytes. Cell Death Discov. (2026). https://doi.org/10.1038/s41420-026-02961-y

Download citation

  • Received: 01 August 2025

  • Revised: 27 November 2025

  • Accepted: 09 February 2026

  • Published: 23 February 2026

  • DOI: https://doi.org/10.1038/s41420-026-02961-y

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Collections
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Journal Information
  • About the Editors
  • Contact
  • About the Partner
  • Upcoming Conferences
  • Open Access Fees and Funding

Publish with us

  • For Authors & Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Cell Death Discovery (Cell Death Discov.)

ISSN 2058-7716 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited