The Parse Biosciences Evercode workflow offers a novel solution for scRNA-seq, incorporating efficient multiplexed split-pool combinatorial RNA barcoding, which enables up to a million cells to be prepared and sequenced in a single experiment. Here, we present an approach utilizing INTEGRA ASSIST PLUS liquid handler, a low cost semi-automated multichannel platform, to automate the Evercode combinatorial barcoding steps, streamlining the workflow, and reducing the manual bench time by 75%.
We profile hundreds of thousands of mouse spleen-resident T cells at different stages of life. We perform transcriptome-based clustering and demonstrate that this approach identifies all major T cell populations (CD4+, CD8+, Tregs, etc.) while simultaneously detecting TCR sequences. Furthermore, we show differences in clonotype diversity that correlate with age and are consistent with previous findings. We envision our method will help researchers gain additional insights in mouse models of autoimmune and infectious diseases, as well as cancer.
