Generation of an isoform-level transcriptome atlas of macrophage activation

RNA-seq is routinely used to measure gene expression changes in response cell perturbation. Genes upregulated or downregulated following some perturbation are designated as genes of interest, and their most expressed isoform(s) would then be selected for follow-up experimentation. However, because its need fragment RNA molecules, limited ability capture isoforms patterns. This lack isoform-specific data means that based on annotation databases incomplete, not tissue specific, do provide key information levels. As a result, minority nonexistent might follow-up, leading loss valuable resources time. There therefore great comprehensively identify along with corresponding levels expression. Using the long-read nanopore-based R2C2 method, which does we generated an Isoform-level transcriptome Atlas Macrophage Activation identifies full-length primary human monocyte-derived macrophages. Macrophages critical innate immune cells important recognizing pathogens through binding pathogen-associated molecular patterns toll-like receptors, culminating initiation host defense pathways. We characterized moderately-to-highly resting receptor–activated macrophages, identified differentially between conditions, validated these by RT-qPCR. compiled into user-friendly portal within UCSC Genome Browser (https://genome.ucsc.edu/s/vollmers/IAMA). Our atlas represents resource research, providing unprecedented isoform