流式细胞术
化学
仿形(计算机编程)
现象
计算生物学
生物
生物化学
计算机科学
分子生物学
表型
操作系统
基因
作者
Xixian Wang,Lihui Ren,Zhidian Diao,Yuehui He,Ping Zhang,Min Liu,Yuandong Li,Lijun Sun,Rongze Chen,Yuetong Ji,Jian Xu,Bo Ma
标识
DOI:10.1002/advs.202207497
摘要
A full-spectrum spontaneous single-cell Raman spectrum (fs-SCRS) captures the metabolic phenome for a given cellular state of the cell in a label-free, landscape-like manner. Herein a positive dielectrophoresis induced deterministic lateral displacement-based Raman flow cytometry (pDEP-DLD-RFC) is established. This robust flow cytometry platform utilizes a periodical positive dielectrophoresis induced deterministic lateral displacement (pDEP-DLD) force that is exerted to focus and trap fast-moving single cells in a wide channel, which enables efficient fs-SCRS acquisition and extended stable running time. It automatically produces deeply sampled, heterogeneity-resolved, and highly reproducible ramanomes for isogenic cell populations of yeast, microalgae, bacteria, and human cancers, which support biosynthetic process dissection, antimicrobial susceptibility profiling, and cell-type classification. Moreover, when coupled with intra-ramanome correlation analysis, it reveals state- and cell-type-specific metabolic heterogeneity and metabolite-conversion networks. The throughput of ≈30-2700 events min
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