Single-cell transcriptomics examines the gene expression level of individual cells in a given population by measuring the messenger RNA (mRNA) concentration of hundreds to thousands of genes simultaneously. wikipedia 
This makes possible the unraveling of heterogenous cell populations, reconstruction of cellular developmental trajectories, and modeling of transcriptional dynamics.
I think there’s a term that we should get out of the way. I’ve been reading it when I read about your stuff: single-cell transcriptomics. What is it? And how does it relate to inflammation studies? quanta
The past decade has seen a revolution in single-cell transcriptomics. Here we describe advances made and the transformation that this powerful approach has on our ability to build detailed cellular maps of tissues, gaining unique insights in health and disease. nature pdf
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The unraveling of heterogenous cell populations, reconstruction of cellular developmental trajectories, and modeling of transcriptional dynamics — all previously masked in bulk transcriptome measurements — are made possible through analysis of this transcriptomic data