Lipid Nanoparticle Barcoding for Multiplexed Single-Cell RNA Sequencing

多路复用 核糖核酸 DNA条形码 计算生物学 纳米颗粒 细胞 单链 纳米技术 生物 计算机科学 遗传学 基因 进化生物学 材料科学 电信 抗体
作者
Yujun Feng,Donglai Chen,Catherine C. Applegate,Nadine Medina,Chia-Wei Kuo,Opeyemi H. Arogundade,Chris Wright,Fangxiu Xu,Jenny Drnevich,Andrew M. Smith
出处
期刊: [Cold Spring Harbor Laboratory]
标识
DOI:10.1101/2024.12.16.628827
摘要

Sample multiplexing is an emerging method in single-cell RNA sequencing (scRNA-seq) that addresses high costs and batch effects. Current multiplexing schemes use DNA labels to barcode cell samples but are limited in their stability and extent of labeling across heterogeneous cell populations. Here, we introduce Nanocoding using lipid nanoparticles (LNPs) for high barcode labeling density in multiplexed scRNA-seq. LNPs reduce dependencies on cell surface labeling mechanisms due to multiple controllable means of cell uptake, amplifying barcode loading 10-100-fold and allowing both protection and efficient release by dissolution. In cultured cell lines and heterogeneous cells from tissue digests, Nanocoding occurs in 40 minutes with stability after sample mixing and requires only commercially available reagents without novel chemical modifications. In spleen digests, 6-plex barcoded samples show minimal unlabeled cells, with all barcodes giving bimodal count distributions. Challenging samples containing lipid-rich debris and heterogeneous cells from adipose tissue of obese rodents show more than 95% labeling with all known subtypes identified. Using Nanocoding, we investigate gene expression changes related to aging in adipose tissue, profiling cells that could not be readily identified with current direct conjugate methods using lipid or antibody conjugates. This ease of generating and tuning these constructs may afford efficient and robust whole-sample multiplexing with minimal sample crosstalk.

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