Olsen Timothy R, Talla Pranay, Furnari Julia, Bruce Jeffrey N, Canoll Peter, Zha Shan, Sims Peter A
Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032.
Department of Neurological Surgery, Columbia University Irving Medical Center, New York, NY 10032.
bioRxiv. 2023 Feb 10:2023.02.09.527940. doi: 10.1101/2023.02.09.527940.
The ideal technology for directly investigating the relationship between genotype and phenotype would analyze both RNA and DNA genome-wide and with single-cell resolution. However, existing tools lack the throughput required for comprehensive analysis of complex tumors and tissues. We introduce a highly scalable method for jointly profiling DNA and expression following nucleosome depletion (DEFND-seq). In DEFND-seq, nuclei are nucleosome-depleted, tagmented, and separated into individual droplets for mRNA and genomic DNA barcoding. Once nuclei have been depleted of nucleosomes, subsequent steps can be performed using the widely available 10x Genomics droplet microfluidic technology and commercial kits without experimental modification. We demonstrate the production of high-complexity mRNA and gDNA sequencing libraries from thousands of individual nuclei from both cell lines and archived surgical specimens for associating gene expression phenotypes with both copy number and single nucleotide variants.
直接研究基因型与表型之间关系的理想技术应能在全基因组范围内以单细胞分辨率同时分析RNA和DNA。然而,现有工具缺乏对复杂肿瘤和组织进行全面分析所需的通量。我们引入了一种高度可扩展的方法,用于在核小体去除后联合分析DNA和表达情况(DEFND-seq)。在DEFND-seq中,细胞核被去除核小体、片段化,并被分离到单个液滴中进行mRNA和基因组DNA条形码标记。一旦细胞核中的核小体被去除,后续步骤可以使用广泛可用的10x Genomics液滴微流控技术和商业试剂盒进行,无需进行实验修改。我们展示了从细胞系和存档手术标本的数千个单个细胞核中生成高复杂性mRNA和gDNA测序文库,以将基因表达表型与拷贝数和单核苷酸变异相关联。