Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma

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 o...

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Vydáno v:	Nature communications Ročník 13; číslo 1; s. 807 - 15
Hlavní autoři:	Merz, Maximilian, Merz, Almuth Maria Anni, Wang, Jie, Wei, Lei, Hu, Qiang, Hutson, Nicholas, Rondeau, Cherie, Celotto, Kimberly, Belal, Ahmed, Alberico, Ronald, Block, AnneMarie W., Mohammadpour, Hemn, Wallace, Paul K., Tario, Joseph, Luce, Jesse, Glenn, Sean T., Singh, Prashant, Herr, Megan M., Hahn, Theresa, Samur, Mehmet, Munshi, Nikhil, Liu, Song, McCarthy, Philip L., Hillengass, Jens
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 10.02.2022 Nature Publishing Group Nature Portfolio
Témata:	38/91 45/23 631/67/2329 631/67/69 692/308/575 692/4028/67/1990/804 692/420/755 Biomedical materials Biopsy Bone diseases Bone Diseases - genetics Bone imaging Bone marrow Bone Marrow - metabolism Cluster Analysis Dkk1 protein Gene Expression Regulation, Neoplastic Gene sequencing Genes Genetic Heterogeneity Genomics Heterogeneity Humanities and Social Sciences Humans Induction therapy Lesions multidisciplinary Multiple myeloma Multiple Myeloma - genetics Multiple Myeloma - metabolism Multiple Myeloma - pathology Osteolysis Plasma Cells Ribonucleic acid RNA Science Science (multidisciplinary) Spatial heterogeneity Tissue inhibitor of metalloproteinase 1 Transcription Whole Exome Sequencing
ISSN:	2041-1723, 2041-1723
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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. Osteolytic lesions (OL) are frequent in multiple myeloma (MM), but are poorly understood. Here, the authors characterise OLs in MM patient samples using single-cell RNA-seq, revealing genes that are specifically regulated in OL compared to random bone marrow aspirates and that reflect the response to induction therapy.
AbstractList	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. 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. Osteolytic lesions (OL) are frequent in multiple myeloma (MM), but are poorly understood. Here, the authors characterise OLs in MM patient samples using single-cell RNA-seq, revealing genes that are specifically regulated in OL compared to random bone marrow aspirates and that reflect the response to induction therapy. 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.Osteolytic lesions (OL) are frequent in multiple myeloma (MM), but are poorly understood. Here, the authors characterise OLs in MM patient samples using single-cell RNA-seq, revealing genes that are specifically regulated in OL compared to random bone marrow aspirates and that reflect the response to induction therapy. 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.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. Osteolytic lesions (OL) are frequent in multiple myeloma (MM), but are poorly understood. Here, the authors characterise OLs in MM patient samples using single-cell RNA-seq, revealing genes that are specifically regulated in OL compared to random bone marrow aspirates and that reflect the response to induction therapy. 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.
ArticleNumber	807
Author	Merz, Maximilian Munshi, Nikhil Block, AnneMarie W. Glenn, Sean T. Liu, Song Wei, Lei Wallace, Paul K. Hutson, Nicholas Celotto, Kimberly Singh, Prashant Samur, Mehmet Tario, Joseph Alberico, Ronald Hahn, Theresa Wang, Jie Mohammadpour, Hemn Merz, Almuth Maria Anni Luce, Jesse Rondeau, Cherie Herr, Megan M. Hillengass, Jens McCarthy, Philip L. Hu, Qiang Belal, Ahmed
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Snippet	Osteolytic lesions (OL) characterize symptomatic multiple myeloma. The mechanisms of how malignant plasma cells (PC) cause OL in one region while others show... Osteolytic lesions (OL) are frequent in multiple myeloma (MM), but are poorly understood. Here, the authors characterise OLs in MM patient samples using...
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SubjectTerms	38/91 45/23 631/67/2329 631/67/69 692/308/575 692/4028/67/1990/804 692/420/755 Biomedical materials Biopsy Bone diseases Bone Diseases - genetics Bone imaging Bone marrow Bone Marrow - metabolism Cluster Analysis Dkk1 protein Gene Expression Regulation, Neoplastic Gene sequencing Genes Genetic Heterogeneity Genomics Heterogeneity Humanities and Social Sciences Humans Induction therapy Lesions multidisciplinary Multiple myeloma Multiple Myeloma - genetics Multiple Myeloma - metabolism Multiple Myeloma - pathology Osteolysis Plasma Cells Ribonucleic acid RNA Science Science (multidisciplinary) Spatial heterogeneity Tissue inhibitor of metalloproteinase 1 Transcription Whole Exome Sequencing
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Title	Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma
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