Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831582/ https://www.ncbi.nlm.nih.gov/pubmed/35145077 http://dx.doi.org/10.1038/s41467-022-28266-z |
_version_ | 1784648536872189952 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Merz, Maximilian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8831582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88315822022-03-04 Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma 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 Nat Commun Article 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. Nature Publishing Group UK 2022-02-10 /pmc/articles/PMC8831582/ /pubmed/35145077 http://dx.doi.org/10.1038/s41467-022-28266-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma |
title | Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma |
title_full | Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma |
title_fullStr | Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma |
title_full_unstemmed | Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma |
title_short | Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma |
title_sort | deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831582/ https://www.ncbi.nlm.nih.gov/pubmed/35145077 http://dx.doi.org/10.1038/s41467-022-28266-z |
work_keys_str_mv | AT merzmaximilian decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT merzalmuthmariaanni decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT wangjie decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT weilei decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT huqiang decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT hutsonnicholas decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT rondeaucherie decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT celottokimberly decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT belalahmed decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT albericoronald decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT blockannemariew decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT mohammadpourhemn decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT wallacepaulk decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT tariojoseph decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT lucejesse decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT glennseant decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT singhprashant decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT herrmeganm decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT hahntheresa decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT samurmehmet decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT munshinikhil decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT liusong decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT mccarthyphilipl decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma AT hillengassjens decipheringspatialgenomicheterogeneityatasinglecellresolutioninmultiplemyeloma |