bioRxivCancer Biology
Network analysis reveals a major role for 14q32 cluster miRNAs in determining transcriptional differences between IGHV-mutated and unmutated CLL
D. Bryant, L. Smith, K. R. Rogers-Broadway, L. Karydis, J. Woo, M. D. Blunt, F. Forconi, F. K. Stevenson, C. Goodnow, P. Humberg, A. Russell, G. K. Packham, A. J. Steele, J. C. Strefford
Abstract
Tumour cells from patients with chronic lymphocytic leukaemia (CLL) can express unmutated (U-CLL) or mutated (M-CLL) immunoglobulin heavy chain (IGHV) genes with differing clinical behaviours, variable B cell receptor (BCR) signalling capacity and distinct transcriptional profiles. As it remains unclear to what extent these differences reflect the tumour cells innate pre/post germinal centre origin or their BCR signalling competence, we applied RNA sequencing, small RNA sequencing and DNA methylation array analysis to 38 CLL cases categorised into three groups by IGHV mutational status and BCR signalling capacity. We identified 492 mRNAs and 38 miRNAs differentially expressed between U-CLL and M-CLL, but only 9 mRNAs and 0 miRNAs associated with BCR competence within M-CLL. A significant proportion of the IGHV-associated miRNAs derived from chr14q32 clusters (14/38 (37%)), where all miRNAs were co-expressed with the MEG3 lncRNA, as part of the DLK1-DIO3 genomic imprinted region, a locus of known importance in the pathogenesis of other human tumours. Integrative in silico analysis of miRNA/mRNA data revealed pronounced regulatory potential for the 14q32 miRNAs, potentially accounting for up to 25% of the IGHV-related transcriptome signature. GAB1, a positive regulator of BCR signalling, was predicted to be regulated by five 14q32 miRNAs and we confirmed that two of these (miR-409-3p and miR-411-3p) significantly repressed activity of the GAB1 3UTR. Our analysis demonstrates a potential key role of the 14q32 miRNA locus in the regulation of CLL-related gene regulation.
- organism: human
- assay: bulk RNA-seq
- assay: DNA methylation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- miRNome profiling of clonal stem cells in Ph+ CML
M. S. Ruiz, M. B. Sanchez, … M. Bianchini·bioRxiv·Mar 16, 2020
- Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia
Almut Luetge, Junyan Lu, … Thorsten Zenz·bioRxiv·Apr 16, 2021
- B cell receptor silencing reveals the origin of high-grade B cell lymphomas with MYC and BCL2 rearrangements
Gabriele Varano, Silvia Lonardi, … Stefano S Casola·Blood Cancer DiscoveryPeer-reviewed·May 22, 2025
- The miR-15a/16-1 and miR-15b/16-2 clusters regulate early B cell development by limiting IL-7 receptor expression
- Translocation-driven chr19-der(14) interaction is associated with disease-specific transcriptional programs in mantle cell lymphoma
Anna A. Karpukhina, Yelena Grishina, … Yegor S Vassetzky·bioRxiv·Jun 9, 2026
- Reliable one-step assessment of IGHV mutational status and gene mutations in Chronic Lymphocytic Leukemia by capture-based high throughput sequencing.
Y. Le Bris, F. Thonier, … M. C. Bene·bioRxiv·Mar 9, 2022