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单细胞转录组谱分析揭示了小鼠黑色素瘤模型中的肿瘤内异质性,并描绘了肿瘤微环境的结构。

Single-Nuclei Transcriptome Profiling Reveals Intra-Tumoral Heterogeneity and Characterizes Tumor Microenvironment Architecture in a Murine Melanoma Model.

机构信息

Department of Oncology, University of Torino, 10060 Candiolo, Italy.

Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy.

出版信息

Int J Mol Sci. 2024 Oct 18;25(20):11228. doi: 10.3390/ijms252011228.

DOI:10.3390/ijms252011228
PMID:39457009
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11508838/
Abstract

Malignant melanoma is an aggressive cancer, with a high risk of metastasis and mortality rates, characterized by cancer cell heterogeneity and complex tumor microenvironment (TME). Single cell biology is an ideal and powerful tool to address these features at a molecular level. However, this approach requires enzymatic cell dissociation that can influence cellular coverage. By contrast, single nucleus RNA sequencing (snRNA-seq) has substantial advantages including compatibility with frozen samples and the elimination of a dissociation-induced, transcriptional stress response. To better profile and understand the functional diversity of different cellular components in melanoma progression, we performed snRNA-seq of 16,839 nuclei obtained from tumor samples along the growth of murine syngeneic melanoma model carrying a BRAFV600E mutation and collected 9 days or 23 days after subcutaneous cell injection. We defined 11 different subtypes of functional cell clusters among malignant cells and 5 different subsets of myeloid cells that display distinct global transcriptional program and different enrichment in early or advanced stage of tumor growth, confirming that this approach was useful to accurately identify intratumor heterogeneity and dynamics during tumor evolution. The current study offers a deep insight into the biology of melanoma highlighting TME reprogramming through tumor initiation and progression, underlying further discovery of new TME biomarkers which may be potentially druggable.

摘要

恶性黑色素瘤是一种侵袭性癌症,具有转移和死亡率高的特点,其特征是癌细胞异质性和复杂的肿瘤微环境(TME)。单细胞生物学是在分子水平上解决这些特征的理想而强大的工具。然而,这种方法需要酶解细胞分离,这可能会影响细胞的覆盖率。相比之下,单细胞核 RNA 测序(snRNA-seq)具有显著的优势,包括与冷冻样本兼容,以及消除分离诱导的转录应激反应。为了更好地描绘和理解黑色素瘤进展过程中不同细胞成分的功能多样性,我们对携带 BRAFV600E 突变的鼠同源性黑色素瘤模型的肿瘤样本中沿生长过程获得的 16839 个细胞核进行了 snRNA-seq,并在皮下细胞注射后 9 天或 23 天收集。我们在恶性细胞中定义了 11 种不同功能细胞群的亚型,以及 5 种不同的髓样细胞亚群,它们显示出不同的全局转录程序和在肿瘤生长的早期或晚期的不同富集,证实了这种方法有助于准确识别肿瘤内异质性和肿瘤进化过程中的动态变化。本研究深入了解了黑色素瘤的生物学特性,强调了肿瘤起始和进展过程中 TME 的重编程,为进一步发现新的 TME 生物标志物提供了基础,这些生物标志物可能具有潜在的可用药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22cd/11508838/87fd866e1780/ijms-25-11228-g006.jpg
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本文引用的文献

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