Università Vita-Salute San Raffaele, Milano, Italy.
Functional Genomics of Cancer Unit, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milano, Italy.
Nat Biotechnol. 2022 Feb;40(2):235-244. doi: 10.1038/s41587-021-01031-1. Epub 2021 Oct 11.
Recent efforts have succeeded in surveying open chromatin at the single-cell level, but high-throughput, single-cell assessment of heterochromatin and its underlying genomic determinants remains challenging. We engineered a hybrid transposase including the chromodomain (CD) of the heterochromatin protein-1α (HP-1α), which is involved in heterochromatin assembly and maintenance through its binding to trimethylation of the lysine 9 on histone 3 (H3K9me3), and developed a single-cell method, single-cell genome and epigenome by transposases sequencing (scGET-seq), that, unlike single-cell assay for transposase-accessible chromatin with sequencing (scATAC-seq), comprehensively probes both open and closed chromatin and concomitantly records the underlying genomic sequences. We tested scGET-seq in cancer-derived organoids and human-derived xenograft (PDX) models and identified genetic events and plasticity-driven mechanisms contributing to cancer drug resistance. Next, building upon the differential enrichment of closed and open chromatin, we devised a method, Chromatin Velocity, that identifies the trajectories of epigenetic modifications at the single-cell level. Chromatin Velocity uncovered paths of epigenetic reorganization during stem cell reprogramming and identified key transcription factors driving these developmental processes. scGET-seq reveals the dynamics of genomic and epigenetic landscapes underlying any cellular processes.
最近的研究成功地在单细胞水平上对开放染色质进行了调查,但高通量的单细胞异染色质及其潜在基因组决定因素的评估仍然具有挑战性。我们设计了一种混合转座酶,其中包括异染色质蛋白-1α(HP-1α)的染色质结构域(CD),它通过与组蛋白 3 赖氨酸 9 上的三甲基化(H3K9me3)结合参与异染色质的组装和维持,开发了一种单细胞方法,即通过转座酶测序的单细胞基因组和表观基因组(scGET-seq),与测序的转座酶可及染色质的单细胞分析(scATAC-seq)不同,它全面探测开放和封闭染色质,并同时记录潜在的基因组序列。我们在癌症衍生的类器官和人源性异种移植(PDX)模型中测试了 scGET-seq,并鉴定了导致癌症耐药性的遗传事件和可塑性驱动机制。接下来,基于封闭和开放染色质的差异富集,我们设计了一种方法,即染色质速度(Chromatin Velocity),它可以在单细胞水平上识别表观遗传修饰的轨迹。染色质速度揭示了干细胞重编程过程中表观遗传重组的路径,并确定了驱动这些发育过程的关键转录因子。scGET-seq 揭示了任何细胞过程背后的基因组和表观基因组景观的动态。