Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients
Single-cell RNA sequencing reveals gene expression differences between individual cells and also identifies different cell populations that are present in the bulk starting material. To obtain an accurate assessment of patient samples, single-cell suspensions need to be generated as soon as possible...
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Frontiers Media S.A.
2021-04-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2021.663487/full |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Duojiao Chen Duojiao Chen Duojiao Chen Mohammad I. Abu Zaid Mohammad I. Abu Zaid Jill L. Reiter Jill L. Reiter Magdalena Czader Lin Wang Patrick McGuire Patrick McGuire Xiaoling Xuei Xiaoling Xuei Hongyu Gao Hongyu Gao Hongyu Gao Kun Huang Kun Huang Kun Huang Rafat Abonour Rafat Abonour Brian A. Walker Yunlong Liu Yunlong Liu Yunlong Liu Yunlong Liu |
spellingShingle |
Duojiao Chen Duojiao Chen Duojiao Chen Mohammad I. Abu Zaid Mohammad I. Abu Zaid Jill L. Reiter Jill L. Reiter Magdalena Czader Lin Wang Patrick McGuire Patrick McGuire Xiaoling Xuei Xiaoling Xuei Hongyu Gao Hongyu Gao Hongyu Gao Kun Huang Kun Huang Kun Huang Rafat Abonour Rafat Abonour Brian A. Walker Yunlong Liu Yunlong Liu Yunlong Liu Yunlong Liu Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients Frontiers in Genetics cryopreservation multiple myeloma single-cell RNA sequencing DMSO bone marrow aspirate |
author_facet |
Duojiao Chen Duojiao Chen Duojiao Chen Mohammad I. Abu Zaid Mohammad I. Abu Zaid Jill L. Reiter Jill L. Reiter Magdalena Czader Lin Wang Patrick McGuire Patrick McGuire Xiaoling Xuei Xiaoling Xuei Hongyu Gao Hongyu Gao Hongyu Gao Kun Huang Kun Huang Kun Huang Rafat Abonour Rafat Abonour Brian A. Walker Yunlong Liu Yunlong Liu Yunlong Liu Yunlong Liu |
author_sort |
Duojiao Chen |
title |
Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients |
title_short |
Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients |
title_full |
Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients |
title_fullStr |
Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients |
title_full_unstemmed |
Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients |
title_sort |
cryopreservation preserves cell-type composition and gene expression profiles in bone marrow aspirates from multiple myeloma patients |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2021-04-01 |
description |
Single-cell RNA sequencing reveals gene expression differences between individual cells and also identifies different cell populations that are present in the bulk starting material. To obtain an accurate assessment of patient samples, single-cell suspensions need to be generated as soon as possible once the tissue or sample has been collected. However, this requirement poses logistical challenges for experimental designs involving multiple samples from the same subject since these samples would ideally be processed at the same time to minimize technical variation in data analysis. Although cryopreservation has been shown to largely preserve the transcriptome, it is unclear whether the freeze-thaw process might alter gene expression profiles in a cell-type specific manner or whether changes in cell-type proportions might also occur. To address these questions in the context of multiple myeloma clinical studies, we performed single-cell RNA sequencing (scRNA-seq) to compare fresh and frozen cells isolated from bone marrow aspirates of six multiple myeloma patients, analyzing both myeloma cells (CD138+) and cells constituting the microenvironment (CD138−). We found that cryopreservation using 90% fetal calf serum and 10% dimethyl sulfoxide resulted in highly consistent gene expression profiles when comparing fresh and frozen samples from the same patient for both CD138+ myeloma cells (R ≥ 0.96) and for CD138– cells (R ≥ 0.9). We also demonstrate that CD138– cell-type proportions showed minimal alterations, which were mainly related to small differences in immune cell subtype sensitivity to the freeze-thaw procedures. Therefore, when processing fresh multiple myeloma samples is not feasible, cryopreservation is a useful option in single-cell profiling studies. |
topic |
cryopreservation multiple myeloma single-cell RNA sequencing DMSO bone marrow aspirate |
url |
https://www.frontiersin.org/articles/10.3389/fgene.2021.663487/full |
work_keys_str_mv |
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doaj-b110c69b252c4146a79fd34d4d1010962021-04-21T06:03:47ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-04-011210.3389/fgene.2021.663487663487Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma PatientsDuojiao Chen0Duojiao Chen1Duojiao Chen2Mohammad I. Abu Zaid3Mohammad I. Abu Zaid4Jill L. Reiter5Jill L. Reiter6Magdalena Czader7Lin Wang8Patrick McGuire9Patrick McGuire10Xiaoling Xuei11Xiaoling Xuei12Hongyu Gao13Hongyu Gao14Hongyu Gao15Kun Huang16Kun Huang17Kun Huang18Rafat Abonour19Rafat Abonour20Brian A. Walker21Yunlong Liu22Yunlong Liu23Yunlong Liu24Yunlong Liu25Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of BioHealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United StatesDivision of Hematology and Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United StatesBone Marrow and Blood Stem Cell Transplantation Program, Indiana University Health, Indianapolis, IN, United StatesDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of Pathology, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of Pathology, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Medical Genomics, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Medical Genomics, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Medical Genomics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of BioHealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United StatesDivision of Hematology and Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United StatesDivision of Hematology and Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United StatesBone Marrow and Blood Stem Cell Transplantation Program, Indiana University Health, Indianapolis, IN, United StatesDivision of Hematology and Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United StatesCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, United StatesDepartment of BioHealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United StatesCenter for Medical Genomics, Indiana University School of Medicine, Indianapolis, IN, United StatesSingle-cell RNA sequencing reveals gene expression differences between individual cells and also identifies different cell populations that are present in the bulk starting material. To obtain an accurate assessment of patient samples, single-cell suspensions need to be generated as soon as possible once the tissue or sample has been collected. However, this requirement poses logistical challenges for experimental designs involving multiple samples from the same subject since these samples would ideally be processed at the same time to minimize technical variation in data analysis. Although cryopreservation has been shown to largely preserve the transcriptome, it is unclear whether the freeze-thaw process might alter gene expression profiles in a cell-type specific manner or whether changes in cell-type proportions might also occur. To address these questions in the context of multiple myeloma clinical studies, we performed single-cell RNA sequencing (scRNA-seq) to compare fresh and frozen cells isolated from bone marrow aspirates of six multiple myeloma patients, analyzing both myeloma cells (CD138+) and cells constituting the microenvironment (CD138−). We found that cryopreservation using 90% fetal calf serum and 10% dimethyl sulfoxide resulted in highly consistent gene expression profiles when comparing fresh and frozen samples from the same patient for both CD138+ myeloma cells (R ≥ 0.96) and for CD138– cells (R ≥ 0.9). We also demonstrate that CD138– cell-type proportions showed minimal alterations, which were mainly related to small differences in immune cell subtype sensitivity to the freeze-thaw procedures. Therefore, when processing fresh multiple myeloma samples is not feasible, cryopreservation is a useful option in single-cell profiling studies.https://www.frontiersin.org/articles/10.3389/fgene.2021.663487/fullcryopreservationmultiple myelomasingle-cell RNA sequencingDMSObone marrow aspirate |