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Time-course tracking of physical proximity and its effect on gene expression for elucidating single NK and cancer cell interactions using a microfluidic platform

ABSTRACT: We report a platform that combines the capture, co-incubation, time-lapse imaging, and gene expression profiling of doublets using the microfluidic integrated fluidic circuit (IFC) which could be used for real-time physical and transcriptional cell-cell interaction quantification. The temporal variations in natural killer (NK) - triple-negative breast cancer (TNBC) cell distances were tracked and compared with terminally-profiled cellular transcriptomes. The results showed the time-bound activities of regulatory modules and alluded to the existence of transcriptional memory. Our experimental and bioinformatic approaches serve as a proof of concept for interrogating cell interactions at doublet resolution, which can be applicable across different cancer types.

ORGANISM(S): Homo sapiens

PROVIDER: GSE181591 | GEO | 2022/10/26

REPOSITORIES: GEO

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