Single cell transcriptome profiling has emerged as a breakthrough technology for 38 the high-resolution understanding of complex cellular systems. Here we report a flexible, cost-39 effective and user-friendly droplet-based microfluidics system, called the Nadia Instrument, 40 that can allow 3' mRNA capture of ~50,000 single cells or individual nuclei in a single run. 41The precise pressure-based system demonstrates highly reproducible droplet size, low 42 doublet rates and high mRNA capture efficiencies that compare favorably in the field. 43Moreover, when combined with the Nadia Innovate, the system can be transformed into an 44 adaptable setup that enables use of different buffers and barcoded bead configurations to 45 facilitate diverse applications. Finally, by 3' mRNA profiling asynchronous human and mouse 46 cells at different phases of the cell cycle, we demonstrate the system's ability to readily 47 distinguish distinct cell populations and infer underlying transcriptional regulatory networks. 48Notably this identified multiple transcription factors that had little or no known link to the cell 49 cycle (e.g. DRAP1, ZKSCAN1 and CEBPZ). In summary, the Nadia platform represents a 50 promising and flexible technology for future transcriptomic studies, and other related 51 applications, at cell resolution. 523 Introduction: Single cell transcriptome profiling has recently emerged as a breakthrough 53 technology for understanding how cellular heterogeneity contributes to complex biological 54 systems. Indeed, cultured cells, microorganisms, biopsies, blood and other tissues can be 55 rapidly profiled for quantification of gene expression at cell resolution. Among a wealth of 56 notable findings, this has led to the unprecedented discovery of new cell populations such as 57 CFTR-expressing pulmonary ionocytes 1 , new cell subtypes such as the distinct disease-58 associated microglia found in both mice 2 and humans 3 , and the single-cell profiling of a whole 59 multicellular organism 4 . 60 61 Several technology platforms have been devised for single cell transcriptome profiling that 62 principally differ in amplification method, capture method, scalability and transcriptome 63 coverage (reviewed in 5 ). Methods with lower cell throughput (<10 3 ) can provide full transcript 64 coverage permitting analysis of post-transcriptional processing at cell resolution 6-8 . Meanwhile, 65 3′-digital gene expression (3′-DGE) based technologies focus on the 3' end of mRNA 66 transcripts to allow a higher throughput (>10 4 ) at reduced cost 4,9-11 . A caveat is that such 3′-67 DGE methods principally report gene-level rather than isoform-level expression. However, 68 recent adaptations allow membrane-bound proteins to be simultaneously monitored alongside 69 the transcriptome via use of antibody-derived barcoded tags that are captured and 70 concomitantly sequenced 12,13 . 71 72 Relevant to this study, droplet-based single-cell RNA-seq is a popular 3′-DGE method that 73 involves the microfluidics encapsulation of single c...