A high-resolution route map reveals distinct stages of chondrocyte dedifferentiation for cartilage regeneration

Yishan Chen , Yeke Yu , Ya Wen , Juan Chen , Junxin Lin , Zixuan Sheng , Wenyan Zhou , Heng Sun , Chengrui An , Jiansong Chen , Weiliang Wu , Chong Teng , Wei Wei , Hongwei Ouyang

Bone Research ›› 2022, Vol. 10 ›› Issue (1) : 38

PDF
Bone Research ›› 2022, Vol. 10 ›› Issue (1) : 38 DOI: 10.1038/s41413-022-00209-w
Article

A high-resolution route map reveals distinct stages of chondrocyte dedifferentiation for cartilage regeneration

Author information +
History +
PDF

Abstract

Articular cartilage damage is a universal health problem. Despite recent progress, chondrocyte dedifferentiation has severely compromised the clinical outcomes of cell-based cartilage regeneration. Loss-of-function changes are frequently observed in chondrocyte expansion and other pathological conditions, but the characteristics and intermediate molecular mechanisms remain unclear. In this study, we demonstrate a time-lapse atlas of chondrocyte dedifferentiation to provide molecular details and informative biomarkers associated with clinical chondrocyte evaluation. We performed various assays, such as single-cell RNA sequencing (scRNA-seq), live-cell metabolic assays, and assays for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq), to develop a biphasic dedifferentiation model consisting of early and late dedifferentiation stages. Early-stage chondrocytes exhibited a glycolytic phenotype with increased expression of genes involved in metabolism and antioxidation, whereas late-stage chondrocytes exhibited ultrastructural changes involving mitochondrial damage and stress-associated chromatin remodeling. Using the chemical inhibitor BTB06584, we revealed that early and late dedifferentiated chondrocytes possessed distinct recovery potentials from functional phenotype loss. Notably, this two-stage transition was also validated in human chondrocytes. An image-based approach was established for clinical use to efficiently predict chondrocyte plasticity using stage-specific biomarkers. Overall, this study lays a foundation to improve the quality of chondrocytes in clinical use and provides deep insights into chondrocyte dedifferentiation.

Cite this article

Download citation ▾
Yishan Chen, Yeke Yu, Ya Wen, Juan Chen, Junxin Lin, Zixuan Sheng, Wenyan Zhou, Heng Sun, Chengrui An, Jiansong Chen, Weiliang Wu, Chong Teng, Wei Wei, Hongwei Ouyang. A high-resolution route map reveals distinct stages of chondrocyte dedifferentiation for cartilage regeneration. Bone Research, 2022, 10(1): 38 DOI:10.1038/s41413-022-00209-w

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Vedicherla S, Buckley CT. Rapid chondrocyte isolation for tissue engineering applications: the effect of enzyme concentration and temporal exposure on the matrix forming capacity of nasal derived chondrocytes. Biomed. Res. Int., 2017, 2017: 2395138

[2]

Hiligsmann M et al. Health economics in the field of osteoarthritis: an expert’s consensus paper from the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO). Semin. Arthritis Rheum, 2013, 43: 303-313

[3]

Cohen NP, Foster RJ, Mow VC. Composition and dynamics of articular cartilage: structure, function, and maintaining healthy state. J. Orthop. Sports Phys. Ther., 1998, 28: 203-215

[4]

Nam Y, Rim YA, Lee J, Ju JH. Current therapeutic strategies for stem cell-based cartilage regeneration. Stem Cells Int., 2018, 2018: 8490489

[5]

Jiang Y et al. Human cartilage-derived progenitor cells from committed chondrocytes for efficient cartilage repair and regeneration. Stem Cells Transl. Med., 2016, 5: 733-744

[6]

Żylińska B, Silmanowicz P, Sobczyńska-Rak A, Jarosz Ł, Szponder T. Treatment of articular cartilage defects: focus on tissue engineering. Vivo, 2018, 32: 1289-1300

[7]

Demoor M et al. Cartilage tissue engineering: molecular control of chondrocyte differentiation for proper cartilage matrix reconstruction. Biochim. Biophys. Acta, 2014, 1840: 2414-2440

[8]

Minegishi Y, Hosokawa K, Tsumaki N. Time-lapse observation of the dedifferentiation process in mouse chondrocytes using chondrocyte-specific reporters. Osteoarthr. Cartil., 2013, 21: 1968-1975

[9]

Layman DL, Sokoloff L, Miller EJ. Collagen synthesis by articular in monolayer culture. Exp. Cell Res., 1972, 73: 107-112

[10]

Peterson, L. et al. Two- to 9-year outcome after autologous chondrocyte transplantation of the knee. Clin. Orthop. Relat. Res. 212–234 (2000).

[11]

Xiang C et al. Long-term functional maintenance of primary human hepatocytes in vitro. Science, 2019, 364: 399-402

[12]

Watson SA et al. Biomimetic electromechanical stimulation to maintain adult myocardial slices in vitro. Nat. Commun., 2019, 10

[13]

Chen Y, Wong PP, Sjeklocha L, Steer CJ, Sahin MB. Mature hepatocytes exhibit unexpected plasticity by direct dedifferentiation into liver progenitor cells in culture. Hepatology, 2012, 55: 563-574

[14]

Lauschke VM et al. Massive rearrangements of cellular MicroRNA signatures are key drivers of hepatocyte dedifferentiation. Hepatology, 2016, 64: 1743-1756

[15]

Rowe C et al. Proteome-wide analyses of human hepatocytes during differentiation and dedifferentiation. Hepatology, 2013, 58: 799-809

[16]

Benya PD, Shaffer JD. Dedifferentiated chondrocytes reexpress the differentiated collagen phenotype when cultured in agarose gels. Cell, 1982, 30: 215-224

[17]

Domm C, Schünke M, Christesen K, Kurz B. Redifferentiation of dedifferentiated bovine articular chondrocytes in alginate culture under low oxygen tension. Osteoarthr. Cartil., 2002, 10: 13-22

[18]

Ma B et al. Gene expression profiling of dedifferentiated human articular chondrocytes in monolayer culture. Osteoarthr. Cartil., 2013, 21: 599-603

[19]

Schnabel M et al. Dedifferentiation-associated changes in morphology and gene expression in primary human articular chondrocytes in cell culture. Osteoarthr. Cartil., 2002, 10: 62-70

[20]

Duan L et al. DNA methylation profiling in chondrocyte dedifferentiation in vitro. J. Cell Physiol., 2017, 232: 1708-1716

[21]

Sliogeryte K, Botto L, Lee DA, Knight MM. Chondrocyte dedifferentiation increases cell stiffness by strengthening membrane-actin adhesion. Osteoarthr. Cartil., 2016, 24: 912-920

[22]

Li S et al. Effects of nanoscale spatial arrangement of arginine-glycine-aspartate peptides on dedifferentiation of chondrocytes. Nano Lett., 2015, 15: 7755-7765

[23]

Duan L, Liang Y, Ma B, Zhu W, Wang D. Epigenetic regulation in chondrocyte phenotype maintenance for cell-based cartilage repair. Am. J. Transl. Res., 2015, 7: 2127-2140

[24]

Cha BH, Lee JS, Kim SW, Cha HJ, Lee SH. The modulation of the oxidative stress response in chondrocytes by Wip1 and its effect on senescence and dedifferentiation during in vitro expansion. Biomaterials, 2013, 34: 2380-2388

[25]

Ashraf S et al. Regulation of senescence associated signaling mechanisms in chondrocytes for cartilage tissue regeneration. Osteoarthr. Cartil., 2016, 24: 196-205

[26]

Kang SW, Yoo SP, Kim BS. Effect of chondrocyte passage number on histological aspects of tissue-engineered cartilage. Biomed. Mater. Eng., 2007, 17: 269-276

[27]

Das RH et al. In vitro expansion affects the response of chondrocytes to mechanical stimulation. Osteoarthr. Cartil., 2008, 16: 385-391

[28]

Charlier E et al. Chondrocyte dedifferentiation and osteoarthritis (OA). Biochem Pharm., 2019, 165: 49-65

[29]

Stenberg J et al. Clinical outcome 3 years after autologous chondrocyte implantation does not correlate with the expression of a predefined gene marker set in chondrocytes prior to implantation but is associated with critical signaling pathways. Orthop. J. Sports Med., 2014, 2: 2325967114550781

[30]

Vanlauwe JJ, Claes T, Van Assche D, Bellemans J, Luyten FP. Characterized chondrocyte implantation in the patellofemoral joint: an up to 4-year follow-up of a prospective cohort of 38 patients. Am. J. Sports Med., 2012, 40: 1799-1807

[31]

Saris DB et al. Characterized chondrocyte implantation results in better structural repair when treating symptomatic cartilage defects of the knee in a randomized controlled trial versus microfracture. Am. J. Sports Med., 2008, 36: 235-246

[32]

Gosset M, Berenbaum F, Thirion S, Jacques C. Primary culture and phenotyping of murine chondrocytes. Nat. Protoc., 2008, 3: 1253-1260

[33]

Bougault C, Paumier A, Aubert-Foucher E, Mallein-Gerin F. Investigating conversion of mechanical force into biochemical signaling in three-dimensional chondrocyte cultures. Nat. Protoc., 2009, 4: 928-938

[34]

Tryfonidou MA et al. Novel type II collagen reporter mice: new tool for assessing collagen 2α1 expression in vivo and in vitro. Dev. Dyn., 2011, 240: 663-673

[35]

Chen Y et al. High-resolution dissection of chemical reprogramming from mouse embryonic fibroblasts into fibrocartilaginous cells. Stem Cell Rep., 2020, 14: 478-492

[36]

Satija R, Farrell JA, Gennert D, Schier AF, Regev A. Spatial reconstruction of single-cell gene expression data. Nat. Biotechnol., 2015, 33: 495-502

[37]

Trapnell C et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol., 2014, 32: 381-386

[38]

Passerini V et al. The presence of extra chromosomes leads to genomic instability. Nat. Commun., 2016, 7

[39]

Brookes PS. Mitochondrial H(+) leak and ROS generation: an odd couple. Free Radic. Biol. Med., 2005, 38: 12-23

[40]

Cadenas S. Mitochondrial uncoupling, ROS generation and cardioprotection. Biochim Biophys. Acta Bioenerg., 2018, 1859: 940-950

[41]

Qureshi MA, Haynes CM, Pellegrino MW. The mitochondrial unfolded protein response: signaling from the powerhouse. J. Biol. Chem., 2017, 292: 13500-13506

[42]

Shen, G., Liu, W., Xu, L. & Wang, L. Mitochondrial unfolded protein response and its roles in stem cells. Stem Cells Dev. 29, 627–637 (2020).

[43]

Schulz AM, Haynes CM. UPR(mt)-mediated cytoprotection and organismal aging. Biochim Biophys. Acta, 2015, 1847: 1448-1456

[44]

Arnould T, Michel S, Renard P. Mitochondria retrograde signaling and the UPR mt: where are we in mammals. Int J. Mol. Sci., 2015, 16: 18224-18251

[45]

Schwarzländer M, König AC, Sweetlove LJ, Finkemeier I. The impact of impaired mitochondrial function on retrograde signalling: a meta-analysis of transcriptomic responses. J. Exp. Bot., 2012, 63: 1735-1750

[46]

Haynes CM, Fiorese CJ, Lin YF. Evaluating and responding to mitochondrial dysfunction: the mitochondrial unfolded-protein response and beyond. Trends Cell Biol., 2013, 23: 311-318

[47]

Ryan TA et al. A MAPK/c-Jun-mediated switch regulates the initial adaptive and cell death responses to mitochondrial damage in a neuronal cell model. Int. J. Biochem. Cell Biol., 2018, 104: 73-86

[48]

da Cunha FM, Torelli NQ, Kowaltowski AJ. Mitochondrial retrograde signaling: triggers, pathways, and outcomes. Oxid. Med. Cell Longev., 2015, 2015: 482582

[49]

Zhong Z et al. NF-κB restricts inflammasome activation via elimination of damaged mitochondria. Cell, 2016, 164: 896-910

[50]

Youle RJ, van der Bliek AM. Mitochondrial fission, fusion, and stress. Science, 2012, 337: 1062-1065

[51]

Vergani L, Grattarola M, Nicolini C. Modifications of chromatin structure and gene expression following induced alterations of cellular shape. Int. J. Biochem. Cell Biol., 2004, 36: 1447-1461

[52]

Buenrostro JD, Giresi PG, Zaba LC, Chang HY, Greenleaf WJ. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat. Methods, 2013, 10: 1213-1218

[53]

Schick S et al. Dynamics of chromatin accessibility and epigenetic state in response to UV damage. J. Cell Sci., 2015, 128: 4380-4394

[54]

Hennig T et al. HSV-1-induced disruption of transcription termination resembles a cellular stress response but selectively increases chromatin accessibility downstream of genes. PLoS Pathog., 2018, 14: e1006954

[55]

García-Trejo JJ, Morales-Ríos E. Regulation of the F1F0-ATP synthase rotary nanomotor in its monomeric-bacterial and dimeric-mitochondrial forms. J. Biol. Phys., 2008, 34: 197-212

[56]

Grover GJ et al. Excessive ATP hydrolysis in ischemic myocardium by mitochondrial F1F0-ATPase: effect of selective pharmacological inhibition of mitochondrial ATPase hydrolase activity. Am. J. Physiol. Heart Circ. Physiol., 2004, 287: H1747-H1755

[57]

Balaban RS. The role of Ca(2+) signaling in the coordination of mitochondrial ATP production with cardiac work. Biochim Biophys. Acta, 2009, 1787: 1334-1341

[58]

Ivanes F et al. The compound BTB06584 is an IF1 -dependent selective inhibitor of the mitochondrial F1 Fo-ATPase. Br. J. Pharm., 2014, 171: 4193-4206

[59]

Münch C. The different axes of the mammalian mitochondrial unfolded protein response. BMC Biol., 2018, 16

[60]

Jazwinski SM. The retrograde response: when mitochondrial quality control is not enough. Biochim. Biophys. Acta, 2013, 1833: 400-409

[61]

Runkel ED, Liu S, Baumeister R, Schulze E. Surveillance-activated defenses block the ROS-induced mitochondrial unfolded protein response. PLoS Genet, 2013, 9: e1003346

[62]

Nargund AM, Pellegrino MW, Fiorese CJ, Baker BM, Haynes CM. Mitochondrial import efficiency of ATFS-1 regulates mitochondrial UPR activation. Science, 2012, 337: 587-590

[63]

Yu D, Li M, Tian Y, Liu J, Shang J. Luteolin inhibits ROS-activated MAPK pathway in myocardial ischemia/reperfusion injury. Life Sci., 2015, 122: 15-25

[64]

Cavalli E et al. Characterization of polydactyly chondrocytes and their use in cartilage engineering. Sci. Rep., 2019, 9

[65]

Akkiraju H, Nohe A. Role of chondrocytes in cartilage formation, progression of osteoarthritis and cartilage regeneration. J. Dev. Biol., 2015, 3: 177-192

[66]

Hesse M, Welz A, Fleischmann BK. Heart regeneration and the cardiomyocyte cell cycle. Pflug. Arch., 2018, 470: 241-248

[67]

Merrell AJ, Stanger BZ. Adult cell plasticity in vivo: de-differentiation and transdifferentiation are back in style. Nat. Rev. Mol. Cell Biol., 2016, 17: 413-425

[68]

Tham YK, Bernardo BC, Ooi JY, Weeks KL, McMullen JR. Pathophysiology of cardiac hypertrophy and heart failure: signaling pathways and novel therapeutic targets. Arch. Toxicol., 2015, 89: 1401-1438

[69]

Walters J. Muscle hypertrophy and pseudohypertrophy. Pr. Neurol., 2017, 17: 369-379

[70]

Hall AP et al. Liver hypertrophy: a review of adaptive (adverse and non-adverse) changes-conclusions from the 3rd International ESTP Expert Workshop. Toxicol. Pathol., 2012, 40: 971-994

[71]

Jopling C, Boue S, Izpisua Belmonte JC. Dedifferentiation, transdifferentiation and reprogramming: three routes to regeneration. Nat. Rev. Mol. Cell Biol., 2011, 12: 79-89

[72]

Diaz-Romero J, Nesic D, Grogan SP, Heini P, Mainil-Varlet P. Immunophenotypic changes of human articular chondrocytes during monolayer culture reflect bona fide dedifferentiation rather than amplification of progenitor cells. J. Cell Physiol., 2008, 214: 75-83

[73]

Kondoh H et al. A high glycolytic flux supports the proliferative potential of murine embryonic stem cells. Antioxid. Redox Signal, 2007, 9: 293-299

[74]

Li X et al. MtDNA depleted PC3 cells exhibit Warburg effect and cancer stem cell features. Oncotarget, 2016, 7: 40297-40313

[75]

Somashekar BS et al. Metabolic profiling of lung granuloma in Mycobacterium tuberculosis infected guinea pigs: ex vivo 1H magic angle spinning NMR studies. J. Proteome Res., 2011, 10: 4186-4195

[76]

Xie N et al. Glycolytic reprogramming in myofibroblast differentiation and lung fibrosis. Am. J. Respir. Crit. Care Med., 2015, 192: 1462-1474

[77]

Chen Z, Liu M, Li L, Chen L. Involvement of the Warburg effect in non-tumor diseases processes. J. Cell Physiol., 2018, 233: 2839-2849

[78]

Lane JM, Brighton CT, Menkowitz BJ. Anaerobic and aerobic metabolism in articular cartilage. J. Rheumatol., 1977, 4: 334-342

[79]

Nahir AM. Aerobic glycolysis: a study of human articular cartilage. Cell Biochem. Funct., 1987, 5: 109-112

[80]

Zignego DL, Hilmer JK, June RK. Mechanotransduction in primary human osteoarthritic chondrocytes is mediated by metabolism of energy, lipids, and amino acids. J. Biomech., 2015, 48: 4253-4261

[81]

Martínez-Reyes I, Chandel NS. Mitochondrial TCA cycle metabolites control physiology and disease. Nat. Commun., 2020, 11

[82]

Passos JF et al. Mitochondrial dysfunction accounts for the stochastic heterogeneity in telomere-dependent senescence. PLoS Biol., 2007, 5: e110

[83]

Buenrostro JD, Wu B, Chang HY, Greenleaf WJ. ATAC-seq: a method for assaying chromatin accessibility genome-wide. Curr. Protoc. Mol. Biol., 2015, 109: 21.29.1-21.29.9

[84]

Yu G, Wang LG, He QY. ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics, 2015, 31: 2382-2383

[85]

Divoux A et al. Differential open chromatin profile and transcriptomic signature define depot-specific human subcutaneous preadipocytes: primary outcomes. Clin. Epigenetics, 2018, 10

[86]

Fan X et al. Single cell and open chromatin analysis reveals molecular origin of epidermal cells of the skin. Dev. Cell, 2018, 47: 21-37.e5

[87]

Cao S et al. Chromatin accessibility dynamics during chemical induction of pluripotency. Cell Stem Cell, 2018, 22: 529-542.e5

[88]

Picelli S et al. Smart-seq2 for sensitive full-length transcriptome profiling in single cells. Nat. Methods, 2013, 10: 1096-1098

Funding

the National Key R&D Program of China (2017YFA0104900), the Natural Sciences Foundation of China (31830029)

the Natural Sciences Foundation of China (82002319)

AI Summary AI Mindmap
PDF

116

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/