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      Single-cell profiling reveals the trajectory of FOLR2-expressing tumor-associated macrophages to regulatory T cells in the progression of lung adenocarcinoma

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          Abstract

          An immunosuppressive microenvironment enriched with regulatory CD4 + T lymphocytes (Tregs) facilitates the progression of lung adenocarcinoma (LUAD). This study aims to investigate the cellular mechanism underlying the formation of the immunosuppressive microenvironment in LUAD. LUAD samples ( n = 12) and normal lung samples ( n = 3) were obtained from patients with different pathological stages of LUAD. Single-cell RNA sequencing was performed to classify cellular components and analyze the transcriptomes, including transcription factors/targets and chemokine ligands/receptors, followed by bioinformatics study such as pseudotime analysis. Myeloid cells and T cells were the most abundant cell types in tumors and normal lung tissues, while tumor-associated macrophage-folate receptor 2 (TAM-FOLR2) and CD4 + nuclear receptor subfamily 4 group A member 3 (NR4A3) exhibited sharp increases in invasive adenocarcinoma (IA). The enrichment of TAM-FOLR2 in IA might result from alveolar resident macrophage-resistin (ARM-RETN) transformation and recruitment of dendritic cells (DCs) and other TAMs, as evidenced by temporal trajectories and differential expression profiles of chemokine ligands/receptors versus those in the early stages of tumors. High expression of CCL17/19/22 was observed in IA as well as in DCs, along with the strong interaction of TAM-FOLR2 with DCs. The results of pseudotime analysis suggested that CD4 +NR4A3 might potentially convert to CD4 +FOXP3, further supported by the high expression of NR4A3 target genes in CD4 +FOXP3 cells. This study provides a single-cell transcriptome atlas from preinvasive to invasive LUAD and reveals a potential ARM-RETN/TAM-FOLR2/DCs/CD4 +NR4A3/CD4 +FOXP3 trajectory in shaping the immune suppressive microenvironment along the pathogenesis of LUAD.

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          Understanding the tumor immune microenvironment (TIME) for effective therapy

          The clinical successes in immunotherapy have been both astounding and at the same time unsatisfactory. Countless patients with varied tumor types have seen pronounced clinical response with immunotherapeutic intervention; however, many more patients have experienced minimal or no clinical benefit when provided the same treatment. As technology has advanced, so has the understanding of the complexity and diversity of the immune context of the tumor microenvironment and its influence on response to therapy. It has been possible to identify different subclasses of immune environment that have an influence on tumor initiation and response and therapy; by parsing the unique classes and subclasses of tumor immune microenvironment (TIME) that exist within a patient’s tumor, the ability to predict and guide immunotherapeutic responsiveness will improve, and new therapeutic targets will be revealed.
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            SCENIC: Single-cell regulatory network inference and clustering

            Although single-cell RNA-seq is revolutionizing biology, data interpretation remains a challenge. We present SCENIC for the simultaneous reconstruction of gene regulatory networks and identification of cell states. We apply SCENIC to a compendium of single-cell data from tumors and brain, and demonstrate that the genomic regulatory code can be exploited to guide the identification of transcription factors and cell states. SCENIC provides critical biological insights into the mechanisms driving cellular heterogeneity.
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              Reversed graph embedding resolves complex single-cell trajectories

              Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with two or more branches remains a challenging computational problem. We present Monocle 2, which uses reversed graph embedding to describe multiple fate decisions in a fully unsupervised manner. Applied to two studies of blood development, Monocle 2 revealed that mutations in key lineage transcription factors diverts cells to alternative fates.
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                Author and article information

                Contributors
                yuyang@novogene.com
                ychan@cmu.edu.cn
                Journal
                Cell Death Dis
                Cell Death Dis
                Cell Death & Disease
                Nature Publishing Group UK (London )
                2041-4889
                2 August 2023
                2 August 2023
                August 2023
                : 14
                : 8
                : 493
                Affiliations
                [1 ]GRID grid.16821.3c, ISNI 0000 0004 0368 8293, Department of Pathology, Shanghai Chest Hospital, , Shanghai Jiao Tong University School of Medicine, ; Shanghai, 200030 China
                [2 ]Novogene Co., Ltd., Beijing, 100015 China
                Author information
                http://orcid.org/0009-0007-4363-8492
                http://orcid.org/0000-0002-4145-3642
                http://orcid.org/0000-0002-2548-5492
                Article
                6021
                10.1038/s41419-023-06021-6
                10397223
                37532692
                1979d070-cbd5-440a-a68d-bd2af8cd7fb5
                © The Author(s) 2023

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 December 2022
                : 17 July 2023
                : 25 July 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100007279, Shanghai Municipal Health Bureau (Shanghai Municipal Public Health Bureau);
                Award ID: No. 2018ZHYL0213
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100008837, Shanghai Chest Hospital (SCH);
                Award ID: No. 2020YNJCM02
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001809, National Natural Science Foundation of China (National Science Foundation of China);
                Award ID: No. 820031524
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100004921, Shanghai Jiao Tong University (SJTU);
                Award ID: No. YG2019QNA50
                Award Recipient :
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                Article
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                © Associazione Differenziamento e Morte Cellulare ADMC 2023

                Cell biology
                non-small-cell lung cancer,cancer microenvironment
                Cell biology
                non-small-cell lung cancer, cancer microenvironment

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