Summary

激光捕获显微切割从口腔粘膜下纤维化样本中分离具有形态学和空间信息的细胞

Published: August 11, 2023
doi:

Summary

口腔粘膜下纤维化组织的激光捕获显微切割允许从感兴趣的组织学区域精确提取细胞,以分析具有形态学和空间信息的多组学数据。

Abstract

口腔粘膜下纤维化 (OSF) 是口腔中一种常见的潜在恶性疾病。上皮萎缩以及固有层和粘膜下层的纤维化经常在组织病理学载玻片上发现。上皮发育不良、上皮萎缩和衰老成纤维细胞被认为与 OSF 的恶性转化有关。然而,由于潜在恶性口腔疾病和口腔鳞状细胞癌的异质性,很难确定OSF中恶性转化的具体分子机制。在这里,我们提出了一种通过在福尔马林固定石蜡包埋的组织载玻片上进行激光捕获显微切割来获得少量携带形态学数据和空间信息的上皮或间充质细胞的方法。使用显微镜,我们可以精确捕获微尺度(~500 个细胞)发育不良或萎缩的上皮组织和纤维化上皮下组织。提取的细胞可以通过基因组或转录组测序进行评估,以获取具有形态学和空间学信息的基因组和转录组数据。这种方法消除了大量OSF组织测序的异质性和非病变区域细胞引起的干扰,从而可以对OSF组织进行精确的空间组学分析。

Introduction

口腔粘膜下纤维化 (OSF) 是一种慢性隐匿性疾病,主要发生在颊粘膜,导致张口受限1。虽然 OSF 是一种多因素疾病,但槟榔或咀嚼槟榔是 OSF的主要原因 2,3。由于这种地理上特定的习性,OSF主要集中在东南亚和南亚的人群中3。OSF 的常见组织学特征包括口腔黏膜上皮下方结缔组织中胶原蛋白异常沉积、血管狭窄和闭塞1。OSF上皮组织可表现为萎缩或增生,甚至在口腔白斑时出现异型增生4,5

OSF 被世界卫生组织定义为一种常见的口腔潜在恶性疾病 (OPMD),具有进展为口腔鳞状细胞癌的潜力,恶性转化率为 4%-6%6,7,8,9。OSF恶性转化的机制是复杂的10。上皮细胞的异常生长,包括发育不良和萎缩,增加了致癌的可能性,基质中的衰老成纤维细胞可能通过活性氧 (ROS) 和其他分子诱导上皮-间充质转化 (EMT) 参与 OSF 的恶性进展10

空间组学分析技术生成了具有形态学和空间信息的多组学数据,为癌症机制提供了见解11,12,13。在这里,我们提出了一种通过激光显微切割从福尔马林固定石蜡包埋的OSF组织中捕获形态相关细胞群的方案。对这些样本进行多组学分析可以克服组织内异质性的挑战,并增加对 OSF14 中分子病理学和恶性转化机制的理解。

Protocol

本研究经北京大学附属学校机构评审委员会批准。已获得患者的知情同意。本研究中使用的组织样本被去标识化。研究方案如图 1所示。 1. 样品制备 在切片机上将福尔马林固定石蜡包埋的口腔粘膜下纤维化组织切成3μm和10μm厚度的连续切片。 在水中展开各部分,然后捞到载玻片上。将3μM和10μm切片分别固定在粘附显微镜载玻…

Representative Results

通过对OSF组织进行激光显微切割,我们捕获了发育不良上皮、发育不良上皮下的基质、萎缩上皮和萎缩上皮组织下的基质样本(图1)。通过提取DNA和低深度全基因组测序,我们能够分析形态学相关的拷贝数改变(CNA)15。CNA 是一种常见的基因组不稳定形式,与 OPMD15,16 中恶性转化的风险增加有关。我们在4种样本?…

Discussion

该协议报告了一个管道,用于捕获具有形态和空间信息的OSF组织样本,以便通过激光显微切割进行进一步的空间组学分析。从代表性结果中,我们在各种形态相关样品中鉴定出不同的CNA模式。

OSF 是 OPMD 的一种,是口腔鳞状细胞癌6 的常见癌前病变。据报道,基因组不稳定性与 OPMD17,18 的发展和恶性转化有关。多项?…

Disclosures

The authors have nothing to disclose.

Acknowledgements

本研究得到了国家自然科学基金(81671006、81300894)、中国医学科学院医学创新基金(2019-I2M-5-038)、国家临床重点学科建设项目(PKUSSNKP-202102)、北京大学医学部优秀博士生创新基金(BMU2022BSS001)的资助。

Materials

Adhesion microscope slides CITOTEST REF.188105
Div-haematoxylin YiLi 20230326
Eosin solution BASO BA4098
Ethanol PEKING REAGENT No.32061
Harris hematoxylin dye solution YiLi 20230326
Hot plate LEICA HI1220
Laser capture microdissection system LEICA LMD7 Machine
Laser microdissection microsystem LEICA 8.2.3.7603 Software
Micromount mounting medium LEICA REF.3801731
Microscope cover glass CITOTEST REF.10212450C
Microtome LEICA RM2235
PCR tubes AXYGEN 16421959
PEN-membrane slides LEICA No.11505158
Re-blue solution YiLi 20230326
Ultrapure distilled water Invitrogen REF.10977-015
Xylene PEKING REAGENT No.33535

References

  1. Cai, X., et al. Oral submucous fibrosis: A clinicopathological study of 674 cases in China. Journal of Oral Pathology & Medicine. 48 (4), 321-325 (2019).
  2. Cai, X., Huang, J. Clinicopathological factors associated with progression of oral submucous fibrosis: A population-based retrospective study. Oral Oncology. 130, 105949 (2022).
  3. Ray, J. G., Chatterjee, R., Chaudhuri, K. Oral submucous fibrosis: A global challenge. Rising incidence, risk factors, management, and research priorities. Periodontology 2000. 80 (1), 200-212 (2019).
  4. Shih, Y. H., Wang, T. H., Shieh, T. M., Tseng, Y. H. Oral submucous fibrosis: A Review on etiopathogenesis, diagnosis, and therapy. International Journal of Molecular Sciences. 20 (12), 2940 (2019).
  5. Cai, X., et al. The preliminary exploration of immune microenvironment in oral leukoplakia concomitant with oral submucosal fibrosis: A comparative immunohistochemical study. Journal of Oral Pathology & Medicine. , (2023).
  6. Warnakulasuriya, S., et al. Oral potentially malignant disorders: A consensus report from an international seminar on nomenclature and classification, convened by the WHO Collaborating Centre for Oral Cancer. Oral Diseases. 27 (8), 1862-1880 (2021).
  7. Cai, X., et al. Development and validation of a nomogram prediction model for malignant transformation of oral potentially malignant disorders. Oral Oncology. 123, 105619 (2021).
  8. Murthy, V., et al. Malignant transformation rate of oral submucous fibrosis: A systematic review and meta-analysis. Journal of Clinical Medicine. 11 (7), 1793 (2022).
  9. Kujan, O., Mello, F. W., Warnakulasuriya, S. Malignant transformation of oral submucous fibrosis: A systematic review and meta-analysis. Oral Diseases. 27 (8), 1936-1946 (2020).
  10. Qin, X., Ning, Y., Zhou, L., Zhu, Y. Oral submucous fibrosis: Etiological mechanism, malignant transformation, therapeutic approaches and targets. International Journal of Molecular Sciences. 24 (5), 4992 (2023).
  11. Sun, L., et al. Single-cell and spatial dissection of precancerous lesions underlying the initiation process of oral squamous cell carcinoma. Cell Discovery. 9 (1), 28 (2023).
  12. Zhu, J., et al. Delineating the dynamic evolution from preneoplasia to invasive lung adenocarcinoma by integrating single-cell RNA sequencing and spatial transcriptomics. Experimental & Molecular Medicine. 54 (11), 2060-2076 (2022).
  13. Ji, A. L., et al. Multimodal analysis of composition and spatial architecture in human squamous cell carcinoma. Cell. 182 (2), 497-514 (2020).
  14. Van den Bossche, V., et al. Microenvironment-driven intratumoral heterogeneity in head and neck cancers: clinical challenges and opportunities for precision medicine. Drug Resistance Updates. 60, 100806 (2022).
  15. Li, X., et al. Improvement in the risk assessment of oral leukoplakia through morphology-related copy number analysis. Science China. Life sciences. 64 (9), 1379-1391 (2021).
  16. Watkins, T. B. K., et al. Pervasive chromosomal instability and karyotype order in tumour evolution. Nature. 587 (7832), 126-132 (2020).
  17. Odell, E. W. Aneuploidy and loss of heterozygosity as risk markers for malignant transformation in oral mucosa. Oral Diseases. 27 (8), 1993-2007 (2021).
  18. Wood, H. M., et al. The genomic road to invasion-examining the similarities and differences in the genomes of associated oral pre-cancer and cancer samples. Genome Medicine. 9 (1), 53 (2017).
  19. Venugopal, D. C., et al. Integrated proteomics based on 2D gel electrophoresis and mass spectrometry with validations: Identification of a biomarker compendium for oral submucous fibrosis-An indian study. Journal of Personalized Medicine. 12 (2), 208 (2022).
  20. Kundu, P., Pant, I., Jain, R., Rao, S. G., Kondaiah, P. Genome-wide DNA methylation changes in oral submucous fibrosis. Oral Diseases. 28 (4), 1094-1103 (2022).
  21. Cai, X., Zhang, H., Li, T. Multi-target pharmacological mechanisms of Salvia miltiorrhiza against oral submucous fibrosis: A network pharmacology approach. Archives of Oral Biology. 126, 105131 (2021).
  22. Xiao, X., Hu, Y., Li, C., Shi, L., Liu, W. DNA content abnormality in oral submucous fibrosis concomitant leukoplakia: A preliminary evaluation of the diagnostic and clinical implications. Diagnostic Cytopathology. 48 (11), 1111-1114 (2020).
  23. Zhou, S., et al. Long non-coding RNA expression profile associated with malignant progression of oral submucous fibrosis. Journal of Oncology. 2019, 6835176 (2019).
  24. Lunde, M. L., et al. Profiling of chromosomal changes in potentially malignant and malignant oral mucosal lesions from South and Southeast Asia using array-comparative genomic hybridization. Cancer Genomics & Proteomics. 11 (3), 127-140 (2014).
  25. Sun, C., et al. Spatially resolved metabolomics to discover tumor-associated metabolic alterations. Proceedings of the National Academy of Sciences of the United States of America. 116 (1), 52-57 (2019).
  26. Ma, M., et al. Copy number alteration profiling facilitates differential diagnosis between ossifying fibroma and fibrous dysplasia of the jaws. International Journal of Oral Science. 13 (1), 21 (2021).

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Cite This Article
Cai, X., Zhang, H., Zhang, J., Li, T. Isolation of Cells with Morphological and Spatial Information from Oral Submucous Fibrosis Samples by Laser Capture Microdissection. J. Vis. Exp. (198), e65890, doi:10.3791/65890 (2023).

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