Fig. 1: Samples, next-generation dataset, and genomics landscape.
From: Co-evolution of tumor and immune cells during progression of multiple myeloma
a Sample type, technology, and treatment timeline broken down by patient. Left portion shows sample technology (10xWGS, scRNA, Bulk RNA, WES, WGS) and sample type (CD138+ sorted vs. unsorted). Right portion shows each patient’s treatment timeline. Treatment length corresponds to the number of cycles. SMM smoldering multiple myeloma. b Heatmap shows the landscape of copy number variations (CNV), structural variants (SV), and driver mutations across 14 patients. Copy number amplification/gain, copy number deletion/loss, SV, and driver mutations are shown in red, blue, purple, and orange, respectively, with colors indicating the number of techniques supporting the event. Techniques for copy number events are FISH, 10xWGS, regular WGS, WES, and scRNA-seq. Techniques for SV are FISH, 10xWGS, Bulk RNA-seq, and scRNA-seq. Techniques for driver mutations are 10xWGS, WES, WGS, and Bulk RNA-seq. Number of techniques supporting an event is 0 if the only technique supporting the event is from scRNA-seq. Plasma cells percentage inferred from scRNA-seq is shown on the top of the heatmap.
