A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages

实现多代谱系单细胞 RNA 测序的微流体平台

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作者:Robert J Kimmerling, Gregory Lee Szeto, Jennifer W Li, Alex S Genshaft, Samuel W Kazer, Kristofor R Payer, Jacob de Riba Borrajo, Paul C Blainey, Darrell J Irvine, Alex K Shalek, Scott R Manalis2

Abstract

We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multi-generational lineage tracking under controlled culture conditions. We use this platform to generate whole-transcriptome profiles of primary, activated murine CD8+ T-cell and lymphocytic leukemia cell line lineages. Here we report that both cell types have greater intra- than inter-lineage transcriptional similarity. For CD8+ T-cells, genes with functional annotation relating to lymphocyte differentiation and function--including Granzyme B--are enriched among the genes that demonstrate greater intra-lineage expression level similarity. Analysis of gene expression covariance with matched measurements of time since division reveals cell type-specific transcriptional signatures that correspond with cell cycle progression. We believe that the ability to directly measure the effects of lineage and cell cycle-dependent transcriptional profiles of single cells will be broadly useful to fields where heterogeneous populations of cells display distinct clonal trajectories, including immunology, cancer, and developmental biology.

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