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Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Osteolytic lesions (OL) characterize symptomatic multiple myeloma. The mechanisms of how malignant plasma cells (PC) cause OL in one region while others show no signs of bone destruction despite subtotal infiltration remain unknown. We report on a single-cell RNA sequencing (scRNA-seq) study of PC obtained prospectively from random bone marrow aspirates (BM) and paired imaging-guided biopsies of OL. We analyze 148,630 PC from 24 different locations in 10 patients and observe vast inter- and intra-patient heterogeneity based on scRNA-seq analyses. Beyond the limited evidence for spatial heterogeneity from whole-exome sequencing, we find an additional layer of complexity by integrated analysis of anchored scRNA-seq datasets from the BM and OL. PC from OL are characterized by differentially expressed genes compared to PC from BM, including upregulation of genes associated with myeloma bone disease like DKK1, HGF and TIMP-1 as well as recurrent downregulation of JUN/FOS, DUSP1 and HBB. Assessment of PC from longitudinally collected samples reveals transcriptional changes after induction therapy. Our study contributes to the understanding of destructive myeloma bone disease.
- Subjects :
- Multidisciplinary
Science
Resolution (electron density)
Cell
Plasma Cells
General Physics and Astronomy
Computational biology
Genomics
General Chemistry
Biology
medicine.disease
General Biochemistry, Genetics and Molecular Biology
Gene Expression Regulation, Neoplastic
Genetic Heterogeneity
medicine.anatomical_structure
Bone Marrow
Exome Sequencing
medicine
Cluster Analysis
Humans
Bone Diseases
Multiple Myeloma
Multiple myeloma
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature Communications
- Accession number :
- edsair.doi.dedup.....987e81162b982dcc2696723f9ce336f6