Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and Perspectives
Single-cell technologies allow precise identification of tumor composition at the single-cell level, providing high-resolution insights into the intratumoral heterogeneity and transcriptional activity of cells in the tumor microenvironment (TME) that previous approaches failed to capture. Malignant...
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MDPI AG
2021-08-01
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author | Bozena Kaminska Natalia Ochocka Pawel Segit |
author_facet | Bozena Kaminska Natalia Ochocka Pawel Segit |
author_sort | Bozena Kaminska |
collection | DOAJ |
description | Single-cell technologies allow precise identification of tumor composition at the single-cell level, providing high-resolution insights into the intratumoral heterogeneity and transcriptional activity of cells in the tumor microenvironment (TME) that previous approaches failed to capture. Malignant gliomas, the most common primary brain tumors in adults, are genetically heterogeneous and their TME consists of various stromal and immune cells playing an important role in tumor progression and responses to therapies. Previous gene expression or immunocytochemical studies of immune cells infiltrating TME of malignant gliomas failed to dissect their functional phenotypes. Single-cell RNA sequencing (scRNA-seq) and cytometry by time-of-flight (CyTOF) are powerful techniques allowing quantification of whole transcriptomes or >30 protein targets in individual cells. Both methods provide unprecedented resolution of TME. We summarize the findings from these studies and the current state of knowledge of a functional diversity of immune infiltrates in malignant gliomas with different genetic alterations. A precise definition of functional phenotypes of myeloid and lymphoid cells might be essential for designing effective immunotherapies. Single-cell omics studies have identified crucial cell subpopulations and signaling pathways that promote tumor progression, influence patient survival or make tumors vulnerable to immunotherapy. We anticipate that the widespread usage of single-cell omics would allow rational design of oncoimmunotherapeutics. |
first_indexed | 2024-03-10T07:49:00Z |
format | Article |
id | doaj.art-1033f135001647139277fb7d261f371d |
institution | Directory Open Access Journal |
issn | 2073-4409 |
language | English |
last_indexed | 2024-03-10T07:49:00Z |
publishDate | 2021-08-01 |
publisher | MDPI AG |
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series | Cells |
spelling | doaj.art-1033f135001647139277fb7d261f371d2023-11-22T12:23:21ZengMDPI AGCells2073-44092021-08-01109226410.3390/cells10092264Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and PerspectivesBozena Kaminska0Natalia Ochocka1Pawel Segit2Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 02-093 Warsaw, PolandLaboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 02-093 Warsaw, PolandLaboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 02-093 Warsaw, PolandSingle-cell technologies allow precise identification of tumor composition at the single-cell level, providing high-resolution insights into the intratumoral heterogeneity and transcriptional activity of cells in the tumor microenvironment (TME) that previous approaches failed to capture. Malignant gliomas, the most common primary brain tumors in adults, are genetically heterogeneous and their TME consists of various stromal and immune cells playing an important role in tumor progression and responses to therapies. Previous gene expression or immunocytochemical studies of immune cells infiltrating TME of malignant gliomas failed to dissect their functional phenotypes. Single-cell RNA sequencing (scRNA-seq) and cytometry by time-of-flight (CyTOF) are powerful techniques allowing quantification of whole transcriptomes or >30 protein targets in individual cells. Both methods provide unprecedented resolution of TME. We summarize the findings from these studies and the current state of knowledge of a functional diversity of immune infiltrates in malignant gliomas with different genetic alterations. A precise definition of functional phenotypes of myeloid and lymphoid cells might be essential for designing effective immunotherapies. Single-cell omics studies have identified crucial cell subpopulations and signaling pathways that promote tumor progression, influence patient survival or make tumors vulnerable to immunotherapy. We anticipate that the widespread usage of single-cell omics would allow rational design of oncoimmunotherapeutics.https://www.mdpi.com/2073-4409/10/9/2264malignant gliomasglioma heterogeneityglioma associated microglia/macrophagestumor infiltrating lymphocytessingle-cell RNA sequencingmass cytometry |
spellingShingle | Bozena Kaminska Natalia Ochocka Pawel Segit Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and Perspectives Cells malignant gliomas glioma heterogeneity glioma associated microglia/macrophages tumor infiltrating lymphocytes single-cell RNA sequencing mass cytometry |
title | Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and Perspectives |
title_full | Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and Perspectives |
title_fullStr | Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and Perspectives |
title_full_unstemmed | Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and Perspectives |
title_short | Single-Cell Omics in Dissecting Immune Microenvironment of Malignant Gliomas—Challenges and Perspectives |
title_sort | single cell omics in dissecting immune microenvironment of malignant gliomas challenges and perspectives |
topic | malignant gliomas glioma heterogeneity glioma associated microglia/macrophages tumor infiltrating lymphocytes single-cell RNA sequencing mass cytometry |
url | https://www.mdpi.com/2073-4409/10/9/2264 |
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