Technology Innovation Lab, New York Genome Center, New York, NY, USA.
NYU Center for Genomics and Systems Biology, New York Genome Center, New York, NY, USA.
Genome Biol. 2018 Dec 19;19(1):224. doi: 10.1186/s13059-018-1603-1.
Despite rapid developments in single cell sequencing, sample-specific batch effects, detection of cell multiplets, and experimental costs remain outstanding challenges. Here, we introduce Cell Hashing, where oligo-tagged antibodies against ubiquitously expressed surface proteins uniquely label cells from distinct samples, which can be subsequently pooled. By sequencing these tags alongside the cellular transcriptome, we can assign each cell to its original sample, robustly identify cross-sample multiplets, and "super-load" commercial droplet-based systems for significant cost reduction. We validate our approach using a complementary genetic approach and demonstrate how hashing can generalize the benefits of single cell multiplexing to diverse samples and experimental designs.
尽管单细胞测序技术发展迅速，但样本特异性批次效应、细胞多聚体检测和实验成本仍然是突出的挑战。在这里，我们介绍了细胞哈希（Cell Hashing），即用针对普遍表达的表面蛋白的寡核苷酸标记抗体独特地标记来自不同样本的细胞，然后将这些细胞混合。通过对这些标签与细胞转录组进行测序，我们可以将每个细胞分配到其原始样本中，稳健地识别跨样本的多聚体，并“超级加载”商业液滴式系统以显著降低成本。我们使用互补的遗传方法验证了我们的方法，并展示了哈希如何将单细胞多重分析的优势推广到不同的样本和实验设计中。
