核糖核酸
计算生物学
克隆(Java方法)
细胞
生物
表型
单细胞分析
RNA序列
肿瘤异质性
DNA
基因
遗传学
基因表达
转录组
癌症
作者
Lei Yu,Xinlei Wang,Quanhua Mu,Sindy Sing Ting Tam,Danson Loi,Aden Ka‐Yin Chan,Wai‐Sang Poon,Ho‐Keung Ng,Danny Tat Ming Chan,Jiguang Wang,Angela Ruohao Wu
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2023-01-06
卷期号:9 (1)
被引量:26
标识
DOI:10.1126/sciadv.abp8901
摘要
Single-cell multi-omics can provide a unique perspective on tumor cellular heterogeneity. Most previous single-cell whole-genome RNA sequencing (scWGS-RNA-seq) methods demonstrate utility with intact cells from fresh samples. Among them, many are not applicable to frozen samples that cannot produce intact single-cell suspensions. We have developed scONE-seq, a versatile scWGS-RNA-seq method that amplifies single-cell DNA and RNA without separating them from each other and hence is compatible with frozen biobanked samples. We benchmarked scONE-seq against existing methods using fresh and frozen samples to demonstrate its performance in various aspects. We identified a unique transcriptionally normal-like tumor clone by analyzing a 2-year frozen astrocytoma sample, demonstrating that performing single-cell multi-omics interrogation on biobanked tissue by scONE-seq could enable previously unidentified discoveries in tumor biology.
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