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Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics
High-definition transcriptomic studies through single-cell RNA sequencing (scRNA-Seq) have revealed the heterogeneity and functionality of the various microenvironments across numerous solid tumors. Those pioneer studies have highlighted different cellular signatures correlated with clinical respons...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959738/ https://www.ncbi.nlm.nih.gov/pubmed/33732232 http://dx.doi.org/10.3389/fimmu.2021.597651 |
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author | Ysebaert, Loic Quillet-Mary, Anne Tosolini, Marie Pont, Frederic Laurent, Camille Fournié, Jean-Jacques |
author_facet | Ysebaert, Loic Quillet-Mary, Anne Tosolini, Marie Pont, Frederic Laurent, Camille Fournié, Jean-Jacques |
author_sort | Ysebaert, Loic |
collection | PubMed |
description | High-definition transcriptomic studies through single-cell RNA sequencing (scRNA-Seq) have revealed the heterogeneity and functionality of the various microenvironments across numerous solid tumors. Those pioneer studies have highlighted different cellular signatures correlated with clinical response to immune checkpoint inhibitors. scRNA-Seq offers also a unique opportunity to unravel the intimate heterogeneity of the ecosystems across different lymphoma entities. In this review, we will first cover the basics and future developments of the technology, and we will discuss its input in the field of translational lymphoma research, from determination of cell-of-origin and functional diversity, to monitoring of anti-cancer targeted drugs response and toxicities, and how new improvements in both data collection and interpretation will further foster precision medicine in the upcoming years. |
format | Online Article Text |
id | pubmed-7959738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79597382021-03-16 Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics Ysebaert, Loic Quillet-Mary, Anne Tosolini, Marie Pont, Frederic Laurent, Camille Fournié, Jean-Jacques Front Immunol Immunology High-definition transcriptomic studies through single-cell RNA sequencing (scRNA-Seq) have revealed the heterogeneity and functionality of the various microenvironments across numerous solid tumors. Those pioneer studies have highlighted different cellular signatures correlated with clinical response to immune checkpoint inhibitors. scRNA-Seq offers also a unique opportunity to unravel the intimate heterogeneity of the ecosystems across different lymphoma entities. In this review, we will first cover the basics and future developments of the technology, and we will discuss its input in the field of translational lymphoma research, from determination of cell-of-origin and functional diversity, to monitoring of anti-cancer targeted drugs response and toxicities, and how new improvements in both data collection and interpretation will further foster precision medicine in the upcoming years. Frontiers Media S.A. 2021-02-26 /pmc/articles/PMC7959738/ /pubmed/33732232 http://dx.doi.org/10.3389/fimmu.2021.597651 Text en Copyright © 2021 Ysebaert, Quillet-Mary, Tosolini, Pont, Laurent and Fournié http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Ysebaert, Loic Quillet-Mary, Anne Tosolini, Marie Pont, Frederic Laurent, Camille Fournié, Jean-Jacques Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics |
title | Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics |
title_full | Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics |
title_fullStr | Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics |
title_full_unstemmed | Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics |
title_short | Lymphoma Heterogeneity Unraveled by Single-Cell Transcriptomics |
title_sort | lymphoma heterogeneity unraveled by single-cell transcriptomics |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959738/ https://www.ncbi.nlm.nih.gov/pubmed/33732232 http://dx.doi.org/10.3389/fimmu.2021.597651 |
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