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超载和非包封(OAK)-基于液滴的组合索引,用于超高通量单细胞多组学分析。

Overloading And unpacKing (OAK) - droplet-based combinatorial indexing for ultra-high throughput single-cell multiomic profiling.

机构信息

Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.

Department of Discovery Oncology, Genentech, South San Francisco, CA, USA.

出版信息

Nat Commun. 2024 Oct 23;15(1):9146. doi: 10.1038/s41467-024-53227-z.

Abstract

Multiomic profiling of single cells by sequencing is a powerful technique for investigating cellular diversity. Existing droplet-based microfluidic methods produce many cell-free droplets, underutilizing bead barcodes and reagents. Combinatorial indexing on microplates is more efficient for barcoding but labor-intensive. Here we present Overloading And unpacKing (OAK), which uses a droplet-based barcoding system for initial compartmentalization followed by a second aliquoting round to achieve combinatorial indexing. We demonstrate OAK's versatility with single-cell RNA sequencing as well as paired single-nucleus RNA sequencing and accessible chromatin profiling. We further showcase OAK's performance on complex samples, including differentiated bronchial epithelial cells and primary retinal tissue. Finally, we examine transcriptomic responses of over 400,000 melanoma cells to a RAF inhibitor, belvarafenib, discovering a rare resistant cell population (0.12%). OAK's ultra-high throughput, broad compatibility, high sensitivity, and simplified procedures make it a powerful tool for large-scale molecular analysis, even for rare cells.

摘要

通过测序对单细胞进行多组学分析是研究细胞多样性的一种强大技术。现有的基于液滴的微流控方法产生了许多无细胞液滴,浪费了珠子条码和试剂。微孔板上的组合索引在条码方面更有效,但劳动强度大。本文提出了 Overloading And unpacKing(OAK),它使用基于液滴的条码系统进行初始分隔,然后进行第二轮分注以实现组合索引。我们通过单细胞 RNA 测序以及配对的单细胞核 RNA 测序和可及染色质分析展示了 OAK 的多功能性。我们进一步展示了 OAK 在复杂样本中的性能,包括分化的支气管上皮细胞和原代视网膜组织。最后,我们检查了超过 400,000 个黑色素瘤细胞对 RAF 抑制剂 belvarafenib 的转录组反应,发现了一个罕见的耐药细胞群(0.12%)。OAK 的超高通量、广泛的兼容性、高灵敏度和简化的程序使其成为大规模分子分析的强大工具,即使是稀有细胞也是如此。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/826b/11499997/55c4f56dfab3/41467_2024_53227_Fig1_HTML.jpg

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