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研究生: 李語婕
Lee, Yu-Chieh
論文名稱: 粒線體Lon蛋白誘導的腫瘤細胞外泌囊泡對於樹突細胞免疫抑制的角色
The Role of Mitochondrial Lon-induced Extracellular Vesicles from Tumor in the Immunosuppression of Dendritic Cells
指導教授: 李岳倫
Lee, Alan Yueh-Luen
汪宏達
Wang, Horng-Dar
口試委員: 賴品光
Lai, Charles Pin-Kuang
楊立威
Yang, Lee-Wei
學位類別: 碩士
Master
系所名稱: 生命科學暨醫學院 - 生物科技研究所
Biotechnology
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 62
中文關鍵詞: Lon蛋白酶外泌囊泡樹突細胞腫瘤微環境代謝體
外文關鍵詞: Lon, extracellular vesicles, dendritic cells, tumor microenvironment, metabolites
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  • 粒線體Lon是一種壓力蛋白,在癌症中對於在不同壓力下維持粒線體功能及細胞存活扮演重要的角色。Lon的上調透過影響細胞凋亡、線粒體自噬、代謝和腫瘤微環境來促進腫瘤的生長和轉移。先前的研究已證實,Lon上調的癌細胞可釋放細胞外泌囊泡(Extracellular Vesicles, EVs)到腫瘤微環境,會塑造出抗發炎環境。EVs中的物質,包含蛋白質、miRNA以及DNA等,可能對免疫細胞產生免疫抑制的反應。在本研究中,我們想要找到來自Lon過度表達的癌細胞所分泌的EVs的新穎分子,能夠調節樹突細胞(DCs)免疫反應。首先,我們證實了來自過表現Lon蛋白的癌細胞所分泌的EVs會導致樹突細胞的抗發炎表現。接著,我們透過對EVs進行代謝體分析,發現苯丙胺酸,酪胺酸以及色胺酸生物合成和其他胺基酸生物合成相關的代謝物,在過量表現Lon蛋白的癌細胞所分泌的EVs中會增加。我們進一步發現,在增加的代謝物中,L-酪胺酸對BMDCs產生了抗炎效果。總結,本研究發現對樹突細胞造成抗炎表型的潛在關鍵代謝物,這個由過量表現Lon的癌細胞所分泌的代謝體,可能進一步幫助腫瘤形成支持其生長的腫瘤免疫環境。


    Mitochondrial Lon is a stress protein which plays a crucial role in maintaining mitochondria function under different stress in cancer. Upregulation of Lon is involved in tumor growth, metastasis and proliferation by affecting the apoptosis, mitophagy, metabolism and tumor microenvironment (TME). Extracellular vesicles (EVs) released by cancer cells shape an anti-inflammatory environment in the TME. Previous studies have demonstrated that the substance within EVs, including protein, miRNA, DNA, cause immunosuppressive effects on immune cells. In this study, we aimed to find a new biomolecule within EVs from Lon-overexpressed cancer cells that plays a crucial role in modulating the immune response of dendritic cells (DCs), which are key antigen-presenting cells in the TME. First, we showed that EVs from Lon-overexpressed cancer cells led to anti-inflammatory phenotypes of dendritic cells. Next, by conducting metabolomics analysis from EVs, we found that the metabolites involved in phenylalanine, tyrosine, and tryptophan biosynthesis and other amino acids biosynthesis were increased in EVs from Lon-overexpressed cancer cells. We further discovered that among the increased metabolites in EVs, L-tyrosine cause an anti-inflammatory effect on BMDCs. In sum, this study shed a light on the potential metabolite secreted by cancer cells which may contribute to the anti-inflammatory phenotype of DCs, which might further assist tumor to form a pro-tumor immunity environment to support its growth.

    摘要 i Abstract ii 1. Introduction 1 1.1 Tumor microenvironment 1 1.2 Mitochondrial Lon protease 2 1.3 Extracellular vesicles in tumor progression 3 1.4 Immune response in the TME 4 1.5 Dendritic cells in the TME 6 2. Rationale and specific aims 8 2.1 Rationale 8 2.2 Specific Aims 8 3. Materials and methods 9 3.1 Materials 9 3.2 Methods 12 4. Results 25 4.1 Overexpression of mitochondria Lon in B16F10 and MC38 25 4.2 Identification of extracellular vesicles (EVs) 25 4.3 The effect of Lon-induced EVs from B16F10 on the function of DC2.4 27 4.4 DC2.4 showed anti-inflammatory phenotype after treating Lon-induced EVs from MC38. 28 4.5 Treatment of Lon-induced EVs from cancer cells caused regulatory phenotype of BMDCs 29 4.6 KEGG enrichment analysis of Lon overexpression MC38-secreted EVs showed upregulation in metabolites involving in multiple metabolism pathways. 31 4.7 Treatment of metabolites upregulated in Lon-induced EVs to BMDCs revealed preliminary information about the cause of phenotype changes in BMDCs. 33 4.8 Conclusion 34 5. Discussion 35 5.1 Limitation of DC2.4 in the experiments 35 5.2 Quantification methods for EVs treatment on dendritic cells 35 5.3 The unknown mechanism behind the increase of EVs secretion from cancer cells after Lon overexpression 37 5.4 The evidence of anti-inflammatory effects of L-tyrosine on DCs remains to be reinforced. 37 6. Figures and Table 39 Figure 1. Expression of Lon plasmid transfected in B16F10 and MC38 cell lines. 39 Figure 2. Identification of purified EVs from B16F10. 40 Figure 3. Identification of purified EVs from MC38. 41 Figure 4. The effect of Lon-induced EVs from B16F10 treatment on the function of DC2.4. 43 Figure 5. The effect of Lon-induced EVs from MC38 on the function of DC2.4. 45 Figure 6. The effects of Lon-induced EVs from B16F10 on the phenotype of BMDCs. 47 Figure 7. The effects of Lon-induced EVs from MC38 on the phenotype of BMDCs. 49 Figure 8. KEGG enrichment analysis of differentially expressed metabolites in EVs from MC38 transfected with control vector or Lon plasmids. 50 Figure 9. Detailed analysis of metabolites contributed to upregulated metabolism pathway within EVs secreted from MC38. 52 Figure 10. Preliminary findings on the functional changes of BMDCs caused by metabolites treatment 56 Table 1. The list of primers. 57 7. References 58

    1. Greaves, M. and C.C. Maley, Clonal evolution in cancer. Nature, 2012. 481(7381): p. 306-313.
    2. Fares, J., et al., Molecular principles of metastasis: a hallmark of cancer revisited. Signal Transduct Target Ther, 2020. 5(1): p. 28.
    3. de Visser, K.E. and J.A. Joyce, The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth. Cancer Cell, 2023. 41(3): p. 374-403.
    4. Xiao, Y. and D. Yu, Tumor microenvironment as a therapeutic target in cancer. Pharmacol Ther, 2021. 221: p. 107753.
    5. Mao, X., et al., Crosstalk between cancer-associated fibroblasts and immune cells in the tumor microenvironment: new findings and future perspectives. Molecular Cancer, 2021. 20(1): p. 131.
    6. Kuo, C.L., et al., Mitochondrial oxidative stress in the tumor microenvironment and cancer immunoescape: foe or friend? J Biomed Sci, 2022. 29(1): p. 74.
    7. Goldberg, A.L., et al., [25] ATP-dependent protease La (Lon) from Escherichia coli, in Methods in Enzymology. 1994, Academic Press. p. 350-375.
    8. Gottesman, S., S. Wickner, and M.R. Maurizi, Protein quality control: triage by chaperones and proteases. Genes Dev, 1997. 11(7): p. 815-23.
    9. Pinti, M., et al., Emerging role of Lon protease as a master regulator of mitochondrial functions. Biochimica et Biophysica Acta (BBA) - Bioenergetics, 2016. 1857(8): p. 1300-1306.
    10. Venkatesh, S., et al., Multitasking in the mitochondrion by the ATP-dependent Lon protease. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, 2012. 1823(1): p. 56-66.
    11. Kita, K., T. Suzuki, and T. Ochi, Diphenylarsinic acid promotes degradation of glutaminase C by mitochondrial Lon protease. J Biol Chem, 2012. 287(22): p. 18163-72.
    12. Bota, D.A. and K.J.A. Davies, Lon protease preferentially degrades oxidized mitochondrial aconitase by an ATP-stimulated mechanism. Nature Cell Biology, 2002. 4(9): p. 674-680.
    13. Fukuda, R., et al., HIF-1 Regulates Cytochrome Oxidase Subunits to Optimize Efficiency of Respiration in Hypoxic Cells. Cell, 2007. 129(1): p. 111-122.
    14. Lu, B., et al., Phosphorylation of human TFAM in mitochondria impairs DNA binding and promotes degradation by the AAA+ Lon protease. Mol Cell, 2013. 49(1): p. 121-32.
    15. Cheng, A.N., et al., Mitochondrial Lon-induced mtDNA leakage contributes to PD-L1–mediated immunoescape via STING-IFN signaling and extracellular vesicles. Journal for ImmunoTherapy of Cancer, 2020. 8(2): p. e001372.
    16. Kao, T.Y., et al., Mitochondrial Lon regulates apoptosis through the association with Hsp60–mtHsp70 complex. Cell Death & Disease, 2015. 6(2): p. e1642-e1642.
    17. Sung, Y.-J., et al., Mitochondrial Lon sequesters and stabilizes p53 in the matrix to restrain apoptosis under oxidative stress via its chaperone activity. Cell Death & Disease, 2018. 9(6): p. 697.
    18. Lee, Y.G., et al., LONP1 and ClpP cooperatively regulate mitochondrial proteostasis for cancer cell survival. Oncogenesis, 2021. 10(2): p. 18.
    19. Quirós, Pedro M., et al., ATP-Dependent Lon Protease Controls Tumor Bioenergetics by Reprogramming Mitochondrial Activity. Cell Reports, 2014. 8(2): p. 542-556.
    20. Kuo, C.-L., et al., Mitochondrial oxidative stress in the tumor microenvironment and cancer immunoescape: foe or friend? Journal of Biomedical Science, 2022. 29(1): p. 74.
    21. Tangeda, V., et al., Lon upregulation contributes to cisplatin resistance by triggering NCLX-mediated mitochondrial Ca2+ release in cancer cells. Cell Death & Disease, 2022. 13(3): p. 241.
    22. Cheng, C.W., et al., Overexpression of Lon contributes to survival and aggressive phenotype of cancer cells through mitochondrial complex I-mediated generation of reactive oxygen species. Cell Death & Disease, 2013. 4(6): p. e681-e681.
    23. Kuo, C.L., et al., Mitochondrial oxidative stress by Lon-PYCR1 maintains an immunosuppressive tumor microenvironment that promotes cancer progression and metastasis. Cancer Lett, 2020. 474: p. 138-150.
    24. van Niel, G., G. D'Angelo, and G. Raposo, Shedding light on the cell biology of extracellular vesicles. Nature Reviews Molecular Cell Biology, 2018. 19(4): p. 213-228.
    25. Gao, Y., et al., Small Extracellular Vesicles: A Novel Avenue for Cancer Management. Frontiers in Oncology, 2021. 11.
    26. Tao, S.-C. and S.-C. Guo, Role of extracellular vesicles in tumour microenvironment. Cell Communication and Signaling, 2020. 18(1): p. 163.
    27. Lue, H.W., et al., Metabolic reprogramming ensures cancer cell survival despite oncogenic signaling blockade. Genes Dev, 2017. 31(20): p. 2067-2084.
    28. Ribatti, D., The concept of immune surveillance against tumors. The first theories. Oncotarget, 2017. 8(4): p. 7175-7180.
    29. Chen, L., et al., IL‑10 secreted by cancer‑associated macrophages regulates proliferation and invasion in gastric cancer cells via c‑Met/STAT3 signaling. Oncol Rep, 2019. 42(2): p. 595-604.
    30. Kartikasari, A.E.R., et al., Tumor-Induced Inflammatory Cytokines and the Emerging Diagnostic Devices for Cancer Detection and Prognosis. Frontiers in Oncology, 2021. 11.
    31. Groth, C., et al., Immunosuppression mediated by myeloid-derived suppressor cells (MDSCs) during tumour progression. British Journal of Cancer, 2019. 120(1): p. 16-25.
    32. Tsai, H.-F. and P.-N. Hsu, Cancer immunotherapy by targeting immune checkpoints: mechanism of T cell dysfunction in cancer immunity and new therapeutic targets. Journal of Biomedical Science, 2017. 24(1): p. 35.
    33. Kurita, K., et al., Macrophages rely on extracellular serine to suppress aberrant cytokine production. Scientific Reports, 2021. 11(1): p. 11137.
    34. Munn, D.H., et al., Inhibition of T cell proliferation by macrophage tryptophan catabolism. J Exp Med, 1999. 189(9): p. 1363-72.
    35. Heras-Murillo, I., et al., Dendritic cells as orchestrators of anticancer immunity and immunotherapy. Nature Reviews Clinical Oncology, 2024. 21(4): p. 257-277.
    36. Gupta, Y.H., A. Khanom, and S.E. Acton, Control of Dendritic Cell Function Within the Tumour Microenvironment. Frontiers in Immunology, 2022. 13.
    37. Hosseini, R., et al., The roles of tumor-derived exosomes in altered differentiation, maturation and function of dendritic cells. Mol Cancer, 2021. 20(1): p. 83.
    38. Schmidt, S.V., A.C. Nino-Castro, and J.L. Schultze, Regulatory dendritic cells: there is more than just immune activation. Frontiers in Immunology, 2012. 3.
    39. Del Prete, A., et al., Dendritic cell subsets in cancer immunity and tumor antigen sensing. Cellular & Molecular Immunology, 2023. 20(5): p. 432-447.
    40. Ness, S., S. Lin, and J.R. Gordon, Regulatory Dendritic Cells, T Cell Tolerance, and Dendritic Cell Therapy for Immunologic Disease. Frontiers in Immunology, 2021. 12.
    41. Ma, H., et al., Roles of LonP1 in Oral-Maxillofacial Developmental Defects and Tumors: A Novel Insight. Int J Mol Sci, 2022. 23(21).
    42. Welsh, J.A., et al., Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches. Journal of Extracellular Vesicles, 2024. 13(2): p. e12404.
    43. Magoling, B.J.A., et al., Membrane Protein Modification Modulates Big and Small Extracellular Vesicle Biodistribution and Tumorigenic Potential in Breast Cancers In Vivo. Advanced Materials, 2023. 35(13): p. 2208966.
    44. Schmidt, S.V., A.C. Nino-Castro, and J.L. Schultze, Regulatory dendritic cells: there is more than just immune activation. Front Immunol, 2012. 3: p. 274.
    45. Alshamsan, A., et al., Validation of bone marrow derived dendritic cells as an appropriate model to study tumor-mediated suppression of DC maturation through STAT3 hyperactivation. J Pharm Pharm Sci, 2010. 13(1): p. 21-6.
    46. Wu, J.-Y., et al., Cancer-Derived Succinate Promotes Macrophage Polarization and Cancer Metastasis via Succinate Receptor. Molecular Cell, 2020. 77(2): p. 213-227.e5.
    47. de la Cruz-López, K.G., et al., Lactate in the Regulation of Tumor Microenvironment and Therapeutic Approaches. Front Oncol, 2019. 9: p. 1143.
    48. Yu, S., et al., Tumor Exosomes Inhibit Differentiation of Bone Marrow Dendritic Cells1. The Journal of Immunology, 2007. 178(11): p. 6867-6875.
    49. Sharma, P., et al., Melanoma cell-derived exosomes in plasma of melanoma patients suppress functions of immune effector cells. Sci Rep, 2020. 10(1): p. 92.
    50. Matsumoto, Y., et al., Quantification of plasma exosome is a potential prognostic marker for esophageal squamous cell carcinoma. Oncol Rep, 2016. 36(5): p. 2535-2543.
    51. Melo, S.A., et al., Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature, 2015. 523(7559): p. 177-82.
    52. Koide, S. and S.S. Sidhu, The importance of being tyrosine: lessons in molecular recognition from minimalist synthetic binding proteins. ACS Chem Biol, 2009. 4(5): p. 325-34.
    53. Wang, J.Y., et al., Tyrosine metabolic reprogramming coordinated with the tricarboxylic acid cycle to drive glioma immune evasion by regulating PD-L1 expression. Ibrain, 2023. 9(2): p. 133-147.
    54. Zhou, Y., et al., Identification and validation of a tyrosine metabolism-related prognostic prediction model and characterization of the tumor microenvironment infiltration in hepatocellular carcinoma. Frontiers in Immunology, 2022. 13.
    55. Nguyen, T.N., H.Q. Nguyen, and D.H. Le, Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses. PLoS One, 2020. 15(6): p. e0229276.
    56. Watanabe, A., et al., Serum amino acid levels in patients with hepatocellular carcinoma. Cancer, 1984. 54(9): p. 1875-82.
    57. Wiggins, T., et al., Tyrosine, Phenylalanine, and Tryptophan in Gastroesophageal Malignancy: A Systematic Review. Cancer Epidemiology, Biomarkers & Prevention, 2015. 24(1): p. 32-38.

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