Project description:Single cell RNA sequencing of the mouse colonic mesenchyme. Mesenchymal/lamina propria cells were isolated from the middle and distal colon of wild type mice and were pooled. The vast majority of intestinal epithelial cells were depleted by Ethylenediaminetetraacetic acid (EDTA) treatment of the tissue samples and mesenchymal/lamina propria cells were isolated after enzymatic treatment with collagenase XI and dispase. Single cell RNA sequencing was performed with the Drop-seq protocol.
Project description:Single cell RNA sequencing of the mouse colonic mesenchyme. Mesenchymal/lamina propria cells were isolated from the middle and distal colon of wild type mice in two biological replicates. For each biological replicate the colons of n = 2 mice were pooled. The vast majority of intestinal epithelial cells were depleted by Ethylenediaminetetraacetic acid (EDTA) treatment of the tissue samples and mesenchymal/lamina propria cells were isolated after enzymatic treatment with collagenase XI and dispase. Single cell RNA sequencing was performed with the Drop-seq protocol. N =5 Drop-seq collections (samples) were processed in total, two from the first biological replicate and three from the second.
Project description:Macrophages have been associated with drug response and resistance in diverse settings, thus raising the possibility of using macrophage imaging as a companion diagnostic to inform personalized patient treatment strategies. Nanoparticle-based contrast agents are especially promising because they efficiently deliver fluorescent, magnetic, and/or radionuclide labels by leveraging the intrinsic capacity of macrophages to accumulate nanomaterials in their role as professional phagocytes. Unfortunately, current clinical imaging modalities are limited in their ability to quantify broad molecular programs that may explain (a) which particular cell subsets a given imaging agent is actually labeling, and (b) what mechanistic role those cells play in promoting drug response or resistance. Highly multiplexed single-cell approaches including single-cell RNA sequencing (scRNAseq) have emerged as resources to help answer these questions. In this review, we query recently published scRNAseq datasets to support companion macrophage imaging, with particular focus on using dextran-based nanoparticles to predict the action of anti-cancer nanotherapies and monoclonal antibodies.