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The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts

The tumor microenvironment (TME) is comprised of non-malignant cells that interact with each other and with cancer cells, critically impacting cancer biology. The TME is complex, and understanding it requires simplifying approaches. Here we provide an experimental-mathematical approach to decompose...

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Autores principales: Mayer, Shimrit, Milo, Tomer, Isaacson, Achinoam, Halperin, Coral, Miyara, Shoval, Stein, Yaniv, Lior, Chen, Pevsner-Fischer, Meirav, Tzahor, Eldad, Mayo, Avi, Alon, Uri, Scherz-Shouval, Ruth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509226/
https://www.ncbi.nlm.nih.gov/pubmed/37726308
http://dx.doi.org/10.1038/s41467-023-41518-w
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author Mayer, Shimrit
Milo, Tomer
Isaacson, Achinoam
Halperin, Coral
Miyara, Shoval
Stein, Yaniv
Lior, Chen
Pevsner-Fischer, Meirav
Tzahor, Eldad
Mayo, Avi
Alon, Uri
Scherz-Shouval, Ruth
author_facet Mayer, Shimrit
Milo, Tomer
Isaacson, Achinoam
Halperin, Coral
Miyara, Shoval
Stein, Yaniv
Lior, Chen
Pevsner-Fischer, Meirav
Tzahor, Eldad
Mayo, Avi
Alon, Uri
Scherz-Shouval, Ruth
author_sort Mayer, Shimrit
collection PubMed
description The tumor microenvironment (TME) is comprised of non-malignant cells that interact with each other and with cancer cells, critically impacting cancer biology. The TME is complex, and understanding it requires simplifying approaches. Here we provide an experimental-mathematical approach to decompose the TME into small circuits of interacting cell types. We find, using female breast cancer single-cell-RNA-sequencing data, a hierarchical network of interactions, with cancer-associated fibroblasts (CAFs) at the top secreting factors primarily to tumor-associated macrophages (TAMs). This network is composed of repeating circuit motifs. We isolate the strongest two-cell circuit motif by culturing fibroblasts and macrophages in-vitro, and analyze their dynamics and transcriptomes. This isolated circuit recapitulates the hierarchy of in-vivo interactions, and enables testing the effect of ligand-receptor interactions on cell dynamics and function, as we demonstrate by identifying a mediator of CAF-TAM interactions - RARRES2, and its receptor CMKLR1. Thus, the complexity of the TME may be simplified by identifying small circuits, facilitating the development of strategies to modulate the TME.
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spelling pubmed-105092262023-09-21 The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts Mayer, Shimrit Milo, Tomer Isaacson, Achinoam Halperin, Coral Miyara, Shoval Stein, Yaniv Lior, Chen Pevsner-Fischer, Meirav Tzahor, Eldad Mayo, Avi Alon, Uri Scherz-Shouval, Ruth Nat Commun Article The tumor microenvironment (TME) is comprised of non-malignant cells that interact with each other and with cancer cells, critically impacting cancer biology. The TME is complex, and understanding it requires simplifying approaches. Here we provide an experimental-mathematical approach to decompose the TME into small circuits of interacting cell types. We find, using female breast cancer single-cell-RNA-sequencing data, a hierarchical network of interactions, with cancer-associated fibroblasts (CAFs) at the top secreting factors primarily to tumor-associated macrophages (TAMs). This network is composed of repeating circuit motifs. We isolate the strongest two-cell circuit motif by culturing fibroblasts and macrophages in-vitro, and analyze their dynamics and transcriptomes. This isolated circuit recapitulates the hierarchy of in-vivo interactions, and enables testing the effect of ligand-receptor interactions on cell dynamics and function, as we demonstrate by identifying a mediator of CAF-TAM interactions - RARRES2, and its receptor CMKLR1. Thus, the complexity of the TME may be simplified by identifying small circuits, facilitating the development of strategies to modulate the TME. Nature Publishing Group UK 2023-09-19 /pmc/articles/PMC10509226/ /pubmed/37726308 http://dx.doi.org/10.1038/s41467-023-41518-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mayer, Shimrit
Milo, Tomer
Isaacson, Achinoam
Halperin, Coral
Miyara, Shoval
Stein, Yaniv
Lior, Chen
Pevsner-Fischer, Meirav
Tzahor, Eldad
Mayo, Avi
Alon, Uri
Scherz-Shouval, Ruth
The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts
title The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts
title_full The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts
title_fullStr The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts
title_full_unstemmed The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts
title_short The tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts
title_sort tumor microenvironment shows a hierarchy of cell-cell interactions dominated by fibroblasts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10509226/
https://www.ncbi.nlm.nih.gov/pubmed/37726308
http://dx.doi.org/10.1038/s41467-023-41518-w
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