Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells

Breast cancer tumors display different cellular phenotypes. A growing body of evidence points toward a population of cancer stem cells (CSCs) that is important for metastasis and treatment resistance, although the characteristics of these cells are incomplete. We used mammosphere formation assay and...

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Main Authors: Emma Jonasson, Salim Ghannoum, Emma Persson, Joakim Karlsson, Thomas Kroneis, Erik Larsson, Göran Landberg, Anders Ståhlberg
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00500/full
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spelling doaj-bb62f6251ebd405f904b6720b34d4e782020-11-25T02:18:54ZengFrontiers Media S.A.Frontiers in Genetics1664-80212019-05-011010.3389/fgene.2019.00500445784Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 CellsEmma Jonasson0Salim Ghannoum1Emma Persson2Joakim Karlsson3Thomas Kroneis4Thomas Kroneis5Erik Larsson6Göran Landberg7Göran Landberg8Anders Ståhlberg9Anders Ståhlberg10Anders Ståhlberg11Department of Pathology and Genetics, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Pathology and Genetics, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Pathology and Genetics, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Pathology and Genetics, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center, Medical University of Graz, Graz, AustriaDepartment of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Pathology and Genetics, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, SwedenDepartment of Pathology and Genetics, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy at University of Gothenburg, Gothenburg, SwedenDepartment of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, SwedenWallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, SwedenBreast cancer tumors display different cellular phenotypes. A growing body of evidence points toward a population of cancer stem cells (CSCs) that is important for metastasis and treatment resistance, although the characteristics of these cells are incomplete. We used mammosphere formation assay and label-retention assay as functional cellular approaches to enrich for cells with different degree of CSC properties in the breast cancer cell line MDA-MB-231 and performed single-cell RNA sequencing. We clustered the cells based on their gene expression profiles and identified three subpopulations, including a CSC-like population. The cell clustering into these subpopulations overlapped with the cellular enrichment approach applied. To molecularly define these groups, we identified genes differentially expressed between the three subpopulations which could be matched to enriched gene sets. We also investigated the transition process from CSC-like cells into more differentiated cell states. In the CSC population we found 14 significantly upregulated genes. Some of these potential breast CSC markers are associated to reported stem cell properties and clinical survival data, but further experimental validation is needed to confirm their cellular functions. Detailed characterization of CSCs improve our understanding of mechanisms for tumor progression and contribute to the identification of new treatment targets.https://www.frontiersin.org/article/10.3389/fgene.2019.00500/fullbreast cancercancer stem cellcell proliferation assaymammosphere assaysingle-cell analysissingle-cell RNA sequencing
collection DOAJ
language English
format Article
sources DOAJ
author Emma Jonasson
Salim Ghannoum
Emma Persson
Joakim Karlsson
Thomas Kroneis
Thomas Kroneis
Erik Larsson
Göran Landberg
Göran Landberg
Anders Ståhlberg
Anders Ståhlberg
Anders Ståhlberg
spellingShingle Emma Jonasson
Salim Ghannoum
Emma Persson
Joakim Karlsson
Thomas Kroneis
Thomas Kroneis
Erik Larsson
Göran Landberg
Göran Landberg
Anders Ståhlberg
Anders Ståhlberg
Anders Ståhlberg
Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
Frontiers in Genetics
breast cancer
cancer stem cell
cell proliferation assay
mammosphere assay
single-cell analysis
single-cell RNA sequencing
author_facet Emma Jonasson
Salim Ghannoum
Emma Persson
Joakim Karlsson
Thomas Kroneis
Thomas Kroneis
Erik Larsson
Göran Landberg
Göran Landberg
Anders Ståhlberg
Anders Ståhlberg
Anders Ståhlberg
author_sort Emma Jonasson
title Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
title_short Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
title_full Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
title_fullStr Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
title_full_unstemmed Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells
title_sort identification of breast cancer stem cell related genes using functional cellular assays combined with single-cell rna sequencing in mda-mb-231 cells
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2019-05-01
description Breast cancer tumors display different cellular phenotypes. A growing body of evidence points toward a population of cancer stem cells (CSCs) that is important for metastasis and treatment resistance, although the characteristics of these cells are incomplete. We used mammosphere formation assay and label-retention assay as functional cellular approaches to enrich for cells with different degree of CSC properties in the breast cancer cell line MDA-MB-231 and performed single-cell RNA sequencing. We clustered the cells based on their gene expression profiles and identified three subpopulations, including a CSC-like population. The cell clustering into these subpopulations overlapped with the cellular enrichment approach applied. To molecularly define these groups, we identified genes differentially expressed between the three subpopulations which could be matched to enriched gene sets. We also investigated the transition process from CSC-like cells into more differentiated cell states. In the CSC population we found 14 significantly upregulated genes. Some of these potential breast CSC markers are associated to reported stem cell properties and clinical survival data, but further experimental validation is needed to confirm their cellular functions. Detailed characterization of CSCs improve our understanding of mechanisms for tumor progression and contribute to the identification of new treatment targets.
topic breast cancer
cancer stem cell
cell proliferation assay
mammosphere assay
single-cell analysis
single-cell RNA sequencing
url https://www.frontiersin.org/article/10.3389/fgene.2019.00500/full
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