Figure 2 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Year: 2026
Type: other
Abstract: Diverse subsets of T and NK cells identified by scRNA-seq. A, UMAP of T/NK subclusters, displaying a total of 12,918 cells, grouped into 14 subclusters marked by color codes (left). UMAP of T/NK subclusters separated for each sample type, displaying cells in EMM (N = 7), EMM_BM (N = 5), and RRMM_BM (N = 6), with the colors representing the same cell type as in the global UMAP of the T/NK compartment (right). B, Dot plot highlighting the expression of canonical markers and gene signatures defining the subclusters in the T/NK compartment. The marker list was curated using Friedrich and colleagues (35), and the genes for defining the signatures are adopted from Chu and colleagues (59). C, Box plot representation of the composition of cell subtypes in the T/NK compartment, grouped by sample type and marked with different colors. D, Stacked bar plots representing patient-wise contributions to individual T/NK subclusters. The proportions sum to 100% across EMM, EMM_BM, and RRMM samples. Box plots display the median (center line), the 25th and 75th percentiles (box limits), and whiskers extending to the most extreme data points within 1.5× the IQR. Statistical comparisons were performed using the Wilcoxon rank-sum test with Benjamini–Hochberg correction for multiple testing. n.s., not significant; **, P < 0.05; ***, P < 0.01; ****, P < 0.001.
Authors: Anjana Anilkumar Sithara, Veronika Kapustova, David Zihala, Ondrej Venglar, Daniel Bilek, Moutaz Helal, Mara John, Eva Radova, Lucie Broskevicova, Jan Vrana, Gabriela Havlova, Ludmila Muronova, Tereza Popkova, Jana Mihalyova, Hana Plonkova, Serafim Nenarokov, Kamlesh Bisht, Hongfang Wang, Helgi Van de Velde, Sandra Charvatova, Ivo Demel, Michal Kascak, Milan Navratil, Martin Havel, Juli Bago, Michal Simicek, Angela Riedel, Leo Rasche, Tereza Sevcikova, Ola Landgren, Roman Hajek, Tomas Jelinek
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W7133552663