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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...

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Autores principales: Ysebaert, Loic, Quillet-Mary, Anne, Tosolini, Marie, Pont, Frederic, Laurent, Camille, Fournié, Jean-Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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.
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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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