Figure 2 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment

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Authors: Anjana Anilkumar Sithara, Veronika Kapustová, David Žihala, Ondrej Venglár, Daniel Bilek, Moutaz Helal, Mara John, Eva Radova, Lucie Broskevičová, Jan Vrána, Gabriela Havlova, Ludmila Muroňová
+20 more Tereza Popková, Jana Mihályová, Hana Plonková, Serafim Nenarokov, Kamlesh Kumar Bisht, Hongfang Wang, Helgi J. Van de Velde, Sandra Charvátová, Ivo Demel, Michal Kaščák, Milan Navratil, Martin Havel, Juli Bago, Michal Šimíček, Angela Riedel, Leo Rasche, Tereza Ševčíková, Ola Landgren, Roman Hajek, Tomas Jelínek
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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.

Fields of Study & Subjects

Multiple Myeloma Research and Treatments Cancer Immunotherapy and Biomarkers T-cell and B-cell Immunology

Publication details

Publication date
4 March 2026
Language
EN