质量细胞仪
试剂
外周血单个核细胞
染色
多聚甲醛
流式细胞术
硒
化学
生物
抗体
碲
分子生物学
生物化学
免疫学
体外
有机化学
无机化学
物理化学
表型
基因
遗传学
作者
Youngran Seo,Kathy Fowler,Leah M. Flick,Tracy A. Withers,Barbara Savoldo,Karen P. McKinnon,Marie A. Iannone
摘要
Abstract Barcoding viable cells combined with pooled sample staining is an effective technique that eliminates batch effects from serial cell staining and facilitates uninterrupted data acquisition. We describe three novel and isotopically pure selenium‐containing compounds (SeMals) that are useful cellular labeling tools. The maleimide‐functionalized selenophenes ( 76 SeMal, 77 SeMal, and 78 SeMal) covalently react with cellular sulfhydryl groups and uniquely label cell samples. The SeMal reagents label viable and paraformaldehyde‐fixed peripheral blood mononuclear cells (PBMC), are well resolved by the mass cytometer, and have little spill into adjacent channels. They appear non‐toxic to viable cells at working concentrations. We used SeMal reagents in combination with four isotopically pure tellurium maleimide reagents ( 124 TeMal, 126 TeMal, 128 TeMal, and 130 TeMal) to label 21 individual PBMC samples with unique combinations of selenium and tellurium isotopes (seven donors with three replicates using a 7 isotope pick 2 combinatorial schema). The individually barcoded samples were pooled, stained with an antibody cocktail as a pool, and acquired on the mass cytometer as a single suspension. The single‐cell data were de‐barcoded into separate sample‐specific files after data acquisition, enabling an uninterrupted instrument run. Each donor sample retained its unique phenotypic profile with excellent replicate reproducibility. Unlike current live cell barcoding methods, this approach does not require antibodies to surface markers, allowing for the labeling of all cells regardless of surface antigen expression. Additionally, since selenium and tellurium isotopes are not currently utilized in CyTOF antibody panels, this method expands barcoding options and frees up commonly used isotopes for more detailed cell profiling.
科研通智能强力驱动
Strongly Powered by AbleSci AI