Jan Vrána
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Jan Vrána has a total of 741 co-authors. Here are the top co-authors by number of shared publications:
- Jaroslav Doležel
Centre of Plant Structural and Functional Genomics, Institute of Experimental Botany, Czech Academy of Sciences , Olomouc CZ-77900
70 shared publications - Anjana Anilkumar Sithara
Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
34 shared publications - David Žihala
Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
34 shared publications - Roman Hajek
Department of Haematooncology University Hospital Ostrava Ostrava Czech Republic
34 shared publications - Tomas Jelinek
Department of Hematooncology University Hospital Ostrava Ostrava Czech Republic
34 shared publications - Veronika Kapustova
Department of Hematooncology, University Hospital Ostrava, Ostrava, Czech Republic
34 shared publications
Latest Publications
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Table S2 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Summary of clinical characteristics
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S2 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Summary of clinical characteristics
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Table S8 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Quantification of PD-1–positive cells and NK cell subsets identified by FCM
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S8 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Quantification of PD-1–positive cells and NK cell subsets identified by FCM
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Table S9 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Number of cells in each cell type identified by FCM in total T cells
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S9 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Number of cells in each cell type identified by FCM in total T cells
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Figure S18 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Representative gating strategy of NK cells
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S18 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Representative gating strategy of NK cells
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Figure 2 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
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.
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure 2 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
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.
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Table S7 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Number of cells in each cell type identified by FCM in total nucleated cells
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S7 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Number of cells in each cell type identified by FCM in total nucleated cells
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Figure 4 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
EMM tumors display high proportions of CD16− NK cells. A, scRNA-seq data. UMAP showing clusters in the NK cell compartment, a total of 1,679 cells distinguishable by the color-coded legend (left). UMAP of NK subclusters separated for each sample type displaying cells in EMM, EMM_BM, and RRMM_BM, with the colors representing the same cell type as in the global UMAP of the NK compartment (right). UMAPs showing the expression of CD16 and CD56 in the NK cell compartment (bottom). B, Stacked bar plot showing patient-wise contribution to scRNA-seq NK cell clusters. The proportions sum to 100% across EMM, EMM_BM, and RRMM samples. Box plot indicating the proportion of NK cell subclusters in (C) scRNA-seq and (D) FCM cohorts, color-coded by sample type. E, Box plot indicating the proportion of cells in different cell-cycle phases in CD16+ and CD16− NK cell clusters across sample types. F, Dot plot showing the expression of a curated list of genes in NK subclusters across different sample types. 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.
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure 4 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
EMM tumors display high proportions of CD16− NK cells. A, scRNA-seq data. UMAP showing clusters in the NK cell compartment, a total of 1,679 cells distinguishable by the color-coded legend (left). UMAP of NK subclusters separated for each sample type displaying cells in EMM, EMM_BM, and RRMM_BM, with the colors representing the same cell type as in the global UMAP of the NK compartment (right). UMAPs showing the expression of CD16 and CD56 in the NK cell compartment (bottom). B, Stacked bar plot showing patient-wise contribution to scRNA-seq NK cell clusters. The proportions sum to 100% across EMM, EMM_BM, and RRMM samples. Box plot indicating the proportion of NK cell subclusters in (C) scRNA-seq and (D) FCM cohorts, color-coded by sample type. E, Box plot indicating the proportion of cells in different cell-cycle phases in CD16+ and CD16− NK cell clusters across sample types. F, Dot plot showing the expression of a curated list of genes in NK subclusters across different sample types. 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.
- Open Access
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Table S4 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Table S4 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
- 4 March 2026
- Published by American Association for Cancer Research (AACR)
Open AccessTable S4 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment
Table S4 from Composition and Functional State of T and NK Cells in the Extramedullary Myeloma Tumor Microenvironment