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. 2024 Feb 20;15:1551. doi: 10.1038/s41467-024-45000-z

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — RNA-seq, gene-based data, downloaded from CoMMpass IA14 were used to validate the biological significance of 1q&13 classification (n = 659 independent samples). a Raw transcriptome data dimensionality reduction analysis. Every dot represents a different sample: red= 1q&13 + , green=1q&13-, blue=1q/13; separate and opposite clusters were highlighted also at expression level. b Volcano plot of the 301 genes differentially expressed between 1q&13+ and 1q&13-. Stringent-significative and significative genes, as defined by Bayes-moderated t tests (“treat” and “eBayes” limma functions, respectively—additional details in “Methods”) are highlighted in cyan if upregulated and in pink if downregulated. The 301 stringent-significative genes are highlighted by a black stroke around the points. c Heatmap describing the unsupervised clustering of 7 genes representative of t-IgH expression profile. Columns represent patients. Colours are scaled row-wise according to the normalized expression values of genes. The 1q&13 classification is plotted over the heatmap (orange = 1q&13 + , blue= 1q&13-, green = 1q/13 + ).