Lewis-Sigler Institute for Integrative Genomics, and
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544.
G3 (Bethesda). 2020 Jan 7;10(1):143-150. doi: 10.1534/g3.119.400821.
RNA-seq has become the standard tool for collecting genome-wide expression data in diverse fields, from quantitative genetics and medical genomics to ecology and developmental biology. However, RNA-seq library preparation is still prohibitive for many laboratories. Recently, the field of single-cell transcriptomics has reduced costs and increased throughput by adopting early barcoding and pooling of individual samples -producing a single final library containing all samples. In contrast, RNA-seq protocols where each sample is processed individually are significantly more expensive and lower throughput than single-cell approaches. Yet, many projects depend on individual library generation to preserve important samples or for follow-up re-sequencing experiments. Improving on currently available RNA-seq methods we have developed TM3'seq, a 3'-enriched library preparation protocol that uses Tn5 transposase and preserves sample identity at each step. TM3'seq is designed for high-throughput processing of individual samples (96 samples in 6h, with only 3h hands-on time) at a fraction of the cost of commercial kits ($1.5 per sample). The protocol was tested in a range of human and RNA samples, recovering transcriptomes of the same quality and reliability than the commercial NEBNext kit. We expect that the cost- and time-efficient features of TM3'seq make large-scale RNA-seq experiments more permissive for the entire scientific community.
RNA-seq 已成为在不同领域(从数量遗传学和医学基因组学到生态学和发育生物学)收集全基因组表达数据的标准工具。然而,RNA-seq 文库制备对许多实验室来说仍然是昂贵的。最近,单细胞转录组学领域通过采用早期条形码和单个样本的混合,降低了成本并提高了通量 - 产生一个包含所有样本的单个最终文库。相比之下,每个样本单独处理的 RNA-seq 方案比单细胞方法昂贵得多,通量也低得多。然而,许多项目依赖于单个文库的生成来保存重要样本或进行后续重测序实验。在现有的 RNA-seq 方法的基础上,我们开发了 TM3'seq,这是一种 3' 富集文库制备方案,使用 Tn5 转座酶,并在每个步骤中保留样本身份。TM3'seq 专为高通量处理单个样本而设计(96 个样本在 6 小时内完成,实际操作时间仅为 3 小时),成本仅为商业试剂盒的一小部分(每个样本 1.5 美元)。该方案在一系列人类和 RNA 样本中进行了测试,其恢复的转录组质量和可靠性与商业的 NEBNext 试剂盒相当。我们预计,TM3'seq 的成本效益和高效特点将使大规模 RNA-seq 实验更能为整个科学界所接受。