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Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing

机译:使用单细胞核和单细胞测序探测胶质母细胞瘤及其微环境

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Single-cell (scSeq) and single-nucleus sequencing (snSeq) are powerful tools to investigate cancer genomics at single cell resolution. Multiple studies have recently illuminated intratumoral heterogeneity in glioblastoma, however, the majority focused on molecular complexity of tumor cells, without considering unexplored host cell types that contribute to the microenvironment around tumor. To address the glioblastoma microenvironment composition and potential tumor-host interactions, we performed deep coverage sequencing of freshly resected primary GBM patient tissue without implementing any tumor enrichment strategies. The sequencing resulted in 902 cells and 1186 nuclei, respectively, passing quality control and with low mitochondrial gene percentage. We customized reference transcriptome by listing gene transcript loci as exons to take into account immature RNA, which greatly improved the alignment rate for single-nucleus data. We applied Cell Ranger pipelines (Version 3.0.2) and Seurat package (Version 2.3.1) and discovered 10 clusters in both scSeq and snSeq. Pathway analysis of each cluster signature in scSeq data along with known GBM microenvironment cell signatures revealed glioma tumor population along with surrounding microglia/macrophages, astrocytes, pericytes, oligodendrocytes, T cells and endothelial cells. The analysis of snSeq was able to capture the majority of cell types from patient tissues (tumor and microenvironment cells), but interestingly presented different cell type composition in microenvironment cell types such as microglia/macrophages. Integrating single-cell and single-nucleus transcriptomic data using canonical correlation analysis facilitated a comparison of snSeq and scSeq, contrasting depiction for certain cell types (e.g. NKX6-2 gene in Oligodendrocytes). Differential analysis of pathways between tumor and microenvironment cells unveiled potentially rewired pathways such as double strand break repair pathway. Our results demonstrate the cellular diversity of brain tumor microenvironment and lay a foundation to further investigate the individual tumor and host cell transcriptomes that are influenced not only by their cell identity but also by their interaction with surrounding microenvironment.
机译:单细胞(SCSEQ)和单核测序(SNSEQ)是在单细胞分辨率下调查癌症基因组学的强大工具。多种研究最近在胶质母细胞瘤中照亮了肿瘤细胞的分子复杂性的大多数,而不考虑有助于肿瘤周围微环境的未探测宿主细胞类型。为了解决胶质母细胞瘤微环境组成和潜在的肿瘤宿主相互作用,我们在不实施任何肿瘤富集策略的情况下对新鲜切除的原发性GBM患者组织进行了深度覆盖序列。测序分别导致902个细胞和1186个核,通过质量控制和低线粒体基因百分比。我们通过将基因转录物基因座作为外显子表明未成熟的RNA来定制参考转录组,这大大提高了单核数据的取向率。我们应用了Cell Ranger管道(版本3.0.2)和Seurat包(版本2.3.1),并在SCSEQ和SNSEQ中发现了10个群集。 SCSEQ数据中每个簇签名的途径分析以及已知的GBM微环境细胞签名显示胶质瘤肿瘤群以及周围的小胶质细胞/巨噬细胞,星形胶质细胞,周细胞,少突细胞,T细胞和内皮细胞。 SNSEQ的分析能够捕获患者组织(肿瘤和微环境细胞)的大多数细胞类型,但有趣地呈现在微环境细胞类型中的不同细胞类型组合物,例如小胶质细胞/巨噬细胞。使用规范相关分析整合单细胞和单核转录组数据,便于SNSEQ和SCSEQ的比较,对某些细胞类型的对比描绘(例如,少突茂细胞中的NKX6-2基因)。肿瘤和微环境细胞之间途径的差异分析揭示了潜在的重新束途径,例如双链断裂修复途径。我们的结果证明了脑肿瘤微环境的细胞多样性,并奠定了进一步研究各个肿瘤和宿主细胞转录om,其不仅受其细胞标识而影响的个体肿瘤和宿主细胞转录om。

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