John J. Trombetta

TL;DR: Div-Sequ is developed, which combines scalable single-nucleus RNA-Seq (sNuc-Sepp) with pulse labeling of proliferating cells by 5-ethynyl-2′-deoxyuridine (EdU) to profile individual dividing cells and open the way for unbiased analysis of diverse complex tissues.

TL;DR: In this paper, the authors profiled mouse lung-resident ILCs using single-cell RNA sequencing at steady state and after in vivo stimulation with the alarmin cytokines IL-25 and IL-33.

TL;DR: In this paper, the authors characterize transcriptional heterogeneity in Pluripotent Stem Cells (PSCs) by single-cell single-input single-out (SISO) experiments.

TL;DR: Div-Seq as mentioned in this paper combines scalable single-nucleus RNA sequencing with pulse labeling of proliferating cells by 5-ethynyl-2′-deoxyuridine (EdU) to profile individual dividing cells.

TL;DR: This unit describes a method that merges several important technologies to produce, in high‐throughput, single‐cell RNA‐Seq libraries, the heterogeneity that exists within these populations of transcriptomics.