Maintenance of systemic homeostasis by kidney requires the coordinated response of diverse cell types. Use of single-cell RNA sequencing (scRNAseq) for patient samples remains fraught with difficulties. The ability to characterize immune and parenchymal cells during transplant rejection (some of which may be present at very small numbers due to injury) will be invaluable in defining transplant pathologies. Herein, we present feasibility data for multiplexing approach for droplet scRNAseq (Mux-Seq). Mux-Seq has the potential to minimize experimental batch biases and variations. Explant tissues from 6 normal and 2 transplant recipients after multiple rejection episodes leading to nephrectomy were pooled for Mux-Seq. Subsequently, a computational tool, Demuxlet was applied for demultiplexing the individual cells. Each sample was also applied individually in single microfluidic run (singleplex). We show that data from Mux-Seq correlated highly with singleplex (Pearson coefficient 0.982). Both are able to identify many known kidney cell types including immune cells. Trajectory analysis of proximal tubule and endothelial cells demonstrates separation between healthy and injured kidney from transplant explant suggesting various stages of differentiation. This study provides the technical groundwork for understanding the pathogenesis of alloimmune injury and host tissue response in transplant rejections leading to graft failure in clinical setting.