The 3D genome of plasma cells in multiple myeloma

Multiple myeloma (MM) is a hematological malignancy characterized by expanding clonal plasma cells in the bone marrow (BM) that produce monoclonal immunoglobulin. It is an incurable disease, accounting for about 10% of blood malignancies and the second most common hematologic malignancy. Therefore, in-depth research into the molecular mechanisms and therapeutic targets of the disease is crucial. For the first time, we performed high-throughput chromosome conformation capture (Hi-C) analysis of plasma cells in five multiple myeloma patients, and integrated it with genome resequencing and transcriptomic associated with genomic variation and gene expression. As a result, 19 specific TAD (Topologically Associating Domain) boundaries in MM samples related to the immune response and Wnt signaling pathways were identified. Additionally, Loop structures were also analyzed, revealing that promoter-enhancer-associated loops were the most prevalent. Genomic characteristics of MM patients were explored, identifying SNPs, InDels, and CNVs, with variations in the CDS region potentially affecting gene function. Transcriptome analysis showed differentially expressed genes in MM patients, mainly involved in p53 signaling and cell adhesion. Multi-omics analysis identified overlapping genes related to MM, including those involved in MHC class II protein complex assembly and antigen presentation. The study provides insights into the complex genomic and transcriptomic changes in MM plasma cells, potentially aiding in identifying therapeutic targets.

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Publication Details

Journal
Scientific Reports
Published
2025-06-02
DOI
https://doi.org/10.1038/s41598-025-03132-2
Citations
2
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
3.54

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article

The 3D genome of plasma cells in multiple myeloma

He Dong, Xiaoli Fei, Lihua Lei, Xiaohong Guan et al.
2 citations
Scientific Reports
Multiple Myeloma Research and Treatments
3.54
article

The 3D genome of plasma cells in multiple myeloma

He Dong, Xiaoli Fei, Lihua Lei, Xiaohong Guan, Ming Chen, Xiaoxiao Liu, Yue Wang, Min Chen, Kaiming Zhang, Yanju Li, Tao Li, Haibo Liu
article en
2 citations

Abstract

Multiple myeloma (MM) is a hematological malignancy characterized by expanding clonal plasma cells in the bone marrow (BM) that produce monoclonal immunoglobulin. It is an incurable disease, accounting for about 10% of blood malignancies and the second most common hematologic malignancy. Therefore, in-depth research into the molecular mechanisms and therapeutic targets of the disease is crucial. For the first time, we performed high-throughput chromosome conformation capture (Hi-C) analysis of plasma cells in five multiple myeloma patients, and integrated it with genome resequencing and transcriptomic associated with genomic variation and gene expression. As a result, 19 specific TAD (Topologically Associating Domain) boundaries in MM samples related to the immune response and Wnt signaling pathways were identified. Additionally, Loop structures were also analyzed, revealing that promoter-enhancer-associated loops were the most prevalent. Genomic characteristics of MM patients were explored, identifying SNPs, InDels, and CNVs, with variations in the CDS region potentially affecting gene function. Transcriptome analysis showed differentially expressed genes in MM patients, mainly involved in p53 signaling and cell adhesion. Multi-omics analysis identified overlapping genes related to MM, including those involved in MHC class II protein complex assembly and antigen presentation. The study provides insights into the complex genomic and transcriptomic changes in MM plasma cells, potentially aiding in identifying therapeutic targets.

Scientific ReportsVol. 15(1)
Guiyang Medical University (CN), Affiliated Hospital of Guizhou Medical University (CN), Chengdu University of Traditional Chinese Medicine (CN)
Department of Science and Technology of Sichuan Province
Zero hunger
Openalex Percentile: Top 8%
Multiple Myeloma Research and Treatments
3.54
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