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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Main Authors: Duojiao Chen, Mohammad I. Abu Zaid, Jill L. Reiter, Magdalena Czader, Lin Wang, Patrick McGuire, Xiaoling Xuei, Hongyu Gao, Kun Huang, Rafat Abonour, Brian A. Walker, Yunlong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.663487/full
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language English
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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
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spelling 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