Suppr超能文献

通过瞬时条形码进行多重单细胞 RNA-seq,可同时对各种药物扰动进行表达谱分析。

Multiplexed single-cell RNA-seq via transient barcoding for simultaneous expression profiling of various drug perturbations.

机构信息

Department of Chemistry, Yonsei University, Seoul, Korea.

Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul, Korea.

出版信息

Sci Adv. 2019 May 15;5(5):eaav2249. doi: 10.1126/sciadv.aav2249. eCollection 2019 May.

Abstract

The development of high-throughput single-cell RNA sequencing (scRNA-seq) has enabled access to information about gene expression in individual cells and insights into new biological areas. Although the interest in scRNA-seq has rapidly grown in recent years, the existing methods are plagued by many challenges when performing scRNA-seq on multiple samples. To simultaneously analyze multiple samples with scRNA-seq, we developed a universal sample barcoding method through transient transfection with short barcode oligonucleotides. By conducting a species-mixing experiment, we have validated the accuracy of our method and confirmed the ability to identify multiplets and negatives. Samples from a 48-plex drug treatment experiment were pooled and analyzed by a single run of Drop-Seq. This revealed unique transcriptome responses for each drug and target-specific gene expression signatures at the single-cell level. Our cost-effective method is widely applicable for the single-cell profiling of multiple experimental conditions, enabling the widespread adoption of scRNA-seq for various applications.

摘要

高通量单细胞 RNA 测序 (scRNA-seq) 的发展使人们能够获取单个细胞中基因表达的信息,并深入了解新的生物学领域。尽管近年来人们对 scRNA-seq 的兴趣迅速增长,但现有的方法在对多个样本进行 scRNA-seq 时存在许多挑战。为了能够同时对多个样本进行 scRNA-seq 分析,我们通过瞬时转染短条形码寡核苷酸开发了一种通用的样本条形码方法。通过进行物种混合实验,我们验证了该方法的准确性,并证实了其识别多联体和阴性的能力。将来自 48 重药物处理实验的样本混合,并通过一次 Drop-Seq 进行分析。这揭示了每种药物的独特转录组反应,以及在单细胞水平上的靶向特异性基因表达特征。我们的这种具有成本效益的方法广泛适用于多种实验条件的单细胞分析,使 scRNA-seq 能够广泛应用于各种应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d71f/6520024/565045c639c1/aav2249-F1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验