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Tan W, Chen J, Wang Y, Xiang K, Lu X, Han Q, Hou M, Yang J. Single-cell RNA sequencing in diabetic kidney disease: a literature review. Ren Fail 2024; 46:2387428. [PMID: 39099183 DOI: 10.1080/0886022x.2024.2387428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 07/06/2024] [Accepted: 07/29/2024] [Indexed: 08/06/2024] Open
Abstract
Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease (ESRD), and its pathogenesis has not been clarified. Current research suggests that DKD involves multiple cell types and extra-renal factors, and it is particularly important to clarify the pathogenesis and identify new therapeutic targets. Single-cell RNA sequencing (scRNA-seq) technology is high-throughput sequencing of the transcriptomes of individual cells at the single-cell level, which is an effective technology for exploring the development of diseases by comparing genetic information, reflecting the differences in genetic information between cells, and identifying different cell subpopulations. Accumulating evidence supports the role of scRNA-seq in revealing the pathogenesis of diabetes and strengthening our understanding of the molecular mechanisms of DKD. We reviewed the scRNA-seq data this time. Then, we analyzed and discussed the applications of scRNA-seq technology in DKD research, including annotation of cell types, identification of novel cell types (or subtypes), identification of intercellular communication, analysis of cell differentiation trajectories, gene expression detection, and analysis of gene regulatory networks, and lastly, we explored the future perspectives of scRNA-seq technology in DKD research.
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Affiliation(s)
- Wei Tan
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiaoyan Chen
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yunyan Wang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Kui Xiang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xianqiong Lu
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qiuyu Han
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mingyue Hou
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jurong Yang
- Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Liu H, Yuan S, Zheng K, Liu G, Li J, Ye B, Yin L, Li Y. IL-17 signaling pathway: A potential therapeutic target for reducing skeletal muscle inflammation. Cytokine 2024; 181:156691. [PMID: 38986253 DOI: 10.1016/j.cyto.2024.156691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 06/29/2024] [Accepted: 07/04/2024] [Indexed: 07/12/2024]
Abstract
BACKGROUND The interleukin-17 (IL-17) signaling pathway is intricately linked with immunity and inflammation; however, the association between the IL-17 signaling pathway and skeletal muscle inflammation remains poorly understood. The study aims to investigate the role of the IL-17 signaling pathway in skeletal muscle inflammation and to evaluate the therapeutic potential of anti-IL-17 antibodies in reducing muscle inflammation. METHODS A skeletal muscle inflammation model was induced by cardiotoxin (CTX) injection in C57BL6/J mice. Following treatment with an anti-IL-17 antibody, we conducted a comprehensive analysis integrating single-cell RNA sequencing (scRNA-seq), bioinformatics, enzyme-linked immunosorbent assay (ELISA), immunofluorescence, and Western blot techniques to elucidate underlying mechanisms. RESULTS scRNA-seq analysis revealed a significant increase in neutrophil numbers and activity in inflamed skeletal muscle compared to other cell types, including macrophages, T cells, B cells, endothelial cells, fast muscle cells, fibroblasts, and skeletal muscle satellite cells. The top 30 differentially expressed genes within neutrophils, along with 55 chemokines, were predominantly enriched in the IL-17 signaling pathway. Moreover, the IL-17 signaling pathway exhibited heightened expression in inflamed skeletal muscle, particularly within neutrophils. Treatment with anti-IL-17 antibody resulted in the suppression of IL-17 signaling pathway expression, accompanied by reduced levels of pro-inflammatory cytokines IL-1β, IL-6, and TNF-α, as well as decreased numbers and activity of Ly6g+/Mpo+ neutrophils compared to CTX-induced skeletal muscle inflammation. CONCLUSION Our findings suggest that the IL-17 signaling pathway plays a crucial role in promoting inflammation within skeletal muscle. Targeting this pathway may hold promise as a therapeutic strategy for ameliorating the inflammatory micro-environment and reducing cytokine production.
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Affiliation(s)
- Hongwen Liu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong Province, China; Department of Discipline Construction Office, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China
| | - Shiguo Yuan
- Department of Orthopaedic, Hainan Hospital, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Haikou, Hainan Province, China; Department of Orthopaedic, Affiliated Hospital of Chinese Medicine, Hainan Medical University, Haikou, Hainan Province, China
| | - Kai Zheng
- Department of Orthopaedic, Hainan Hospital, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Haikou, Hainan Province, China; Department of Orthopaedic, Affiliated Hospital of Chinese Medicine, Hainan Medical University, Haikou, Hainan Province, China
| | - Gaofeng Liu
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Junhua Li
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Baofei Ye
- Department of Orthopaedic, Hainan Hospital, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou University of Chinese Medicine, Haikou, Hainan Province, China; Department of Orthopaedic, Affiliated Hospital of Chinese Medicine, Hainan Medical University, Haikou, Hainan Province, China
| | - Li Yin
- Department of Discipline Construction Office, Panzhihua Central Hospital, Panzhihua, Sichuan Province, China.
| | - Yikai Li
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong Province, China; The Third Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
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3
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Yuan X, Long Q, Li W, Yan Q, Zhang P. Characteristics of the Dynamic Evolutionary Pathway of ADSCs Induced Differentiation into Astrocytes Based on scRNA-Seq Analysis. Mol Neurobiol 2024:10.1007/s12035-024-04414-y. [PMID: 39190264 DOI: 10.1007/s12035-024-04414-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 07/30/2024] [Indexed: 08/28/2024]
Abstract
We employed single-cell transcriptome sequencing to reveal the dynamic gene expression changes during the differentiation of adipose-derived stromal cells (ADSCs) into astrocytes. Single-cell RNA sequencing was conducted on cells from the ADSCs group and the induced groups at 2, 7, 14, and 21 days using the 10 × Chromium platform. Data underwent quality control and dimensionality reduction. Cell differentiation trajectories were constructed using Monocle2, and differentially expressed genes (DEGs) in each cell cluster were identified using differential selection algorithms. DEGs at each time point were annotated using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and regulatory intensities of transcription factors were analyzed using SCENIC. Integrating all groups, a total of five samples were divided into 13 cell clusters (0-12 clusters). DEGs between clusters and those compared with ADSCs at various induced time points showed distinct specificities. Monocle2 constructed cell differentiation trajectories; ADSCs can differentiate into mature astrocytes not only through the direct pathway from the 1 branch to the 3 branch but also through an indirect pathway, involving the 1 branch to the 2 branch before progressing to the 3 branch. SCENIC analysis highlighted the critical regulatory roles of STAT1, MYEF2, and SOX6 transcription factors during the differentiation of ADSCs into astrocytes. ADSCs can differentiate into mature astrocytes through two distinct pathways: direct and indirect. By the 14th day of induction, mature astrocytes have formed, characterized by a cell cycle arrest in mitosis. Further induction leads to degenerative senescence changes in differentiated cells.
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Affiliation(s)
- Xiaodong Yuan
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, 57 Xinhua East Road, Lubei District, Tangshan City, 063000, Hebei Province, China
- Hebei Provincial Key Laboratory of Neurobiological Function, 57 Xinhua East Road, Lubei District, Tangshan City, 063000, Hebei Province, China
| | - Qingxi Long
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, 57 Xinhua East Road, Lubei District, Tangshan City, 063000, Hebei Province, China
| | - Wen Li
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, 57 Xinhua East Road, Lubei District, Tangshan City, 063000, Hebei Province, China
| | - Qi Yan
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, 57 Xinhua East Road, Lubei District, Tangshan City, 063000, Hebei Province, China
| | - Pingshu Zhang
- Department of Neurology of Kailuan General Hospital Affiliated North China University of Science and Technology, 57 Xinhua East Road, Lubei District, Tangshan City, 063000, Hebei Province, China.
- Hebei Provincial Key Laboratory of Neurobiological Function, 57 Xinhua East Road, Lubei District, Tangshan City, 063000, Hebei Province, China.
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Majewska J, Agrawal A, Mayo A, Roitman L, Chatterjee R, Sekeresova Kralova J, Landsberger T, Katzenelenbogen Y, Meir-Salame T, Hagai E, Sopher I, Perez-Correa JF, Wagner W, Maimon A, Amit I, Alon U, Krizhanovsky V. p16-dependent increase of PD-L1 stability regulates immunosurveillance of senescent cells. Nat Cell Biol 2024; 26:1336-1345. [PMID: 39103548 PMCID: PMC11321988 DOI: 10.1038/s41556-024-01465-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/25/2024] [Indexed: 08/07/2024]
Abstract
The accumulation of senescent cells promotes ageing and age-related diseases, but molecular mechanisms that senescent cells use to evade immune clearance and accumulate in tissues remain to be elucidated. Here we report that p16-positive senescent cells upregulate the immune checkpoint protein programmed death-ligand 1 (PD-L1) to accumulate in ageing and chronic inflammation. We show that p16-mediated inhibition of cell cycle kinases CDK4/6 induces PD-L1 stability in senescent cells via downregulation of its ubiquitin-dependent degradation. p16-expressing senescent alveolar macrophages elevate PD-L1 to promote an immunosuppressive environment that can contribute to an increased burden of senescent cells. Treatment with activating anti-PD-L1 antibodies engaging Fcγ receptors on effector cells leads to the elimination of PD-L1 and p16-positive cells. Our study uncovers a molecular mechanism of p16-dependent regulation of PD-L1 protein stability in senescent cells and reveals the potential of targeting PD-L1 to improve immunosurveillance of senescent cells and ameliorate senescence-associated inflammation.
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Affiliation(s)
- Julia Majewska
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
| | - Amit Agrawal
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Avi Mayo
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Lior Roitman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Rishita Chatterjee
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Tomer Landsberger
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Tomer Meir-Salame
- Department of Biological Services, Weizmann Institute of Science, Rehovot, Israel
| | - Efrat Hagai
- Department of Biological Services, Weizmann Institute of Science, Rehovot, Israel
| | - Ilanit Sopher
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Juan-Felipe Perez-Correa
- Institute for Stem Cell Biology, RWTH Aachen University Medical School, Aachen, Germany
- Helmholtz Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany
| | - Wolfgang Wagner
- Institute for Stem Cell Biology, RWTH Aachen University Medical School, Aachen, Germany
- Helmholtz Institute for Biomedical Engineering, RWTH Aachen University Medical School, Aachen, Germany
| | - Avi Maimon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Ido Amit
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Uri Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Valery Krizhanovsky
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
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Wang Y, Zhang J, Yang Y, Chen J, Tan F, Zheng J. Single-cell analysis revealed that MTIF2 could promote hepatocellular carcinoma progression through modulating the ROS pathway. Heliyon 2024; 10:e34438. [PMID: 39082024 PMCID: PMC11284438 DOI: 10.1016/j.heliyon.2024.e34438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 07/09/2024] [Accepted: 07/09/2024] [Indexed: 08/02/2024] Open
Abstract
Aims To analyze the expression of mitochondrial translational initiation factor 2 (MTIF2) and the biological functions of the gene in hepatocellular carcinoma (HCC). Background The treatment of HCC treatment and its prognostic prediction are limited by a lack of comprehensive understanding of the molecular mechanisms in HCC. OBJECTIVE: To determine the cells expressing MTIF2 in HCC and the function of the MTIF2+ cell subpopulation. Methods Gene expression analysis on TIMER 2.0, UALCAN, and GEPIA databases was performed to measure the expression of MTIF2 in HCC tissues. Cell clustering subgroups and annotation were conducted based on the single-cell sequencing data of HCC and paracancerous tissues in the Gene Expression Omnibus (GEO) database. MTIF2 expression in different cell types was analyzed. Further, biological pathways potentially regulated by MTIF2 in each cell type were identified. In addition, protein-protein interaction (PPI) networks of MTIF2 with genes in its regulated biological pathways were developed. The cell function assay was performed to verify the effects of superoxide dismutase-2 (SOD2) and MTIF2 on HCC cells. Finally, we screened virtual drugs targeting MTIF2 and SOD2 employing database screening, molecular docking and molecular dynamics. Results MTIF2 showed a remarkably high expression in HCC tissues. We identified a total of 10 cell types between HCC tissues and paracancerous tissues. MTIF2 expression was upregulated in epithelial cells, macrophages, and hepatocytes. More importantly, high-expressed MTIF2 in HCC tissues was mainly derived from epithelial cells and hepatocytes, in which the reactive oxygen species (ROS) pathway was significantly positively correlated with MTIF2. In the PPI network, there was a unique interaction pair between SOD2 and MTIF2 in the ROS pathway. Cell function experiments showed that overexpression of MTIF2 enhanced the proliferative and invasive capacities of HCC, which could synergize with SOD2 to co-promote the development of HCC. Finally, molecular dynamics simulations showed that DB00183 maintained a high structural stability with MTIF2 and SOD2 proteins during the simulation process. Conclusion Our study confirmed that the high-expressed MTIF2 in HCC tissues was derived from epithelial cells and hepatocytes. MTIF2 might act on SOD2 to regulate the ROS pathway, thereby affective the progression of HCC.
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Affiliation(s)
- Yu Wang
- Medical and Healthcare Center, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570102, China
| | - Jingqiu Zhang
- Department of Dermatology, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yu Yang
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570102, China
| | - Jinhao Chen
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570102, China
| | - Fengwu Tan
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570102, China
| | - Jinfang Zheng
- Department of Hepatobiliary and Pancreatic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 570102, China
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Qiu H, Shao Z, Wen X, Qu D, Liu Z, Chen Z, Zhang X, Ding X, Zhang L. HMGB1/TREM2 positive feedback loop drives the development of radioresistance and immune escape of glioblastoma by regulating TLR4/Akt signaling. J Transl Med 2024; 22:688. [PMID: 39075517 PMCID: PMC11287841 DOI: 10.1186/s12967-024-05489-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 07/04/2024] [Indexed: 07/31/2024] Open
Abstract
BACKGROUND Radioresistance and immune escape are crucial reasons for unsatisfactory therapeutic effects of glioblastoma (GBM). Although triggering receptor expressed on myeloid cells-2 (TREM2) involved in forming immunosuppressive microenvironment, but the underlying mechanism and its roles in mediating cancer radioresistance remain unclear, moreover, the efficient delivery of drugs targeting TREM2 to GBM encounters serious challenges. Hence, this study aimed to elucidate the effect and mechanisms of targeted TREM2 silencing on reversing the radioresistance and immune escape of GBM aided by a glutathione-responsive biomimetic nanoparticle (NP) platform. METHODS Radioresistant GBM cell lines and TREM2 stable knockdown GBM cell lines were firstly established. RNA sequencing, colony formation assay, western blot, enzyme-linked immunosorbent assay and co-immunoprecipitation assay were used to detect the molecular mechanisms of TREM2 in regulating the radioresistance and immune escape of GBM. The glutathione-responsive biomimetic NP, angiopep-2 (A2)- cell membrane (CM)-NP/siTREM2/spam1, was then constructed to triply and targeted inhibit TREM2 for in vivo study. Orthotopic GBM-bearing mouse models were established to evaluate the anti-GBM effect of TREM2 inhibition, multiplex immunofluorescence assay was conducted to detect the infiltration of immune cells. RESULTS TREM2 was a regulator in accelerating the radioresistance and immune escape of GBM through participating in DNA damage repair and forming a positive feedback loop with high mobility group box 1 (HMGB1) to cascade the activation of Toll-like receptor 4 (TLR4)/protein kinase B (Akt) signaling. A2-CM-NP/siTREM2/spam1 was successfully synthesized with excellent passive targeting, active targeting and homologous targeting, and the in vivo results exhibited its remarkable anti-GBM therapeutic effect through promoting the infiltration of type 1 helper T cells and CD8+T cells, reducing the infiltration of type 2 helper T cells and regulatory T cells, repolarizing macrophages to M1-type, and decreasing the secretion of pro-tumor and immunosuppressive cytokines. CONCLUSIONS Targeting TREM2 therapy is a promising avenue for optimizing radiotherapy and immunotherapy to improve the prognosis of GBM patients.
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Affiliation(s)
- Hui Qiu
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical University, No. 9 Kunpeng North Road, Xuzhou, 221000, Jiangsu, China
| | - Zhiying Shao
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Xin Wen
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical University, No. 9 Kunpeng North Road, Xuzhou, 221000, Jiangsu, China
| | - Debao Qu
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical University, No. 9 Kunpeng North Road, Xuzhou, 221000, Jiangsu, China
| | - Zhengyang Liu
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Ziqin Chen
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Xinyan Zhang
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China
| | - Xin Ding
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical University, No. 9 Kunpeng North Road, Xuzhou, 221000, Jiangsu, China.
| | - Longzhen Zhang
- Cancer Institute, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical University, No. 9 Kunpeng North Road, Xuzhou, 221000, Jiangsu, China.
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Dunsmore G, Guo W, Li Z, Bejarano DA, Pai R, Yang K, Kwok I, Tan L, Ng M, De La Calle Fabregat C, Yatim A, Bougouin A, Mulder K, Thomas J, Villar J, Bied M, Kloeckner B, Dutertre CA, Gessain G, Chakarov S, Liu Z, Scoazec JY, Lennon-Dumenil AM, Marichal T, Sautès-Fridman C, Fridman WH, Sharma A, Su B, Schlitzer A, Ng LG, Blériot C, Ginhoux F. Timing and location dictate monocyte fate and their transition to tumor-associated macrophages. Sci Immunol 2024; 9:eadk3981. [PMID: 39058763 DOI: 10.1126/sciimmunol.adk3981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 07/03/2024] [Indexed: 07/28/2024]
Abstract
Tumor-associated macrophages (TAMs) are a heterogeneous population of cells whose phenotypes and functions are shaped by factors that are incompletely understood. Herein, we asked when and where TAMs arise from blood monocytes and how they evolve during tumor development. We initiated pancreatic ductal adenocarcinoma (PDAC) in inducible monocyte fate-mapping mice and combined single-cell transcriptomics and high-dimensional flow cytometry to profile the monocyte-to-TAM transition. We revealed that monocytes differentiate first into a transient intermediate population of TAMs that generates two longer-lived lineages of terminally differentiated TAMs with distinct gene expression profiles, phenotypes, and intratumoral localization. Transcriptome datasets and tumor samples from patients with PDAC evidenced parallel TAM populations in humans and their prognostic associations. These insights will support the design of new therapeutic strategies targeting TAMs in PDAC.
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Affiliation(s)
- Garett Dunsmore
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
- Université Paris-Saclay, Ile-de-France, France
| | - Wei Guo
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ziyi Li
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - David Alejandro Bejarano
- Quantitative Systems Biology, Life and Medical Sciences Institute, University of Bonn, 53115 Bonn, Germany
| | - Rhea Pai
- Curtin Medical School, Curtin University, Bentley, WA, Australia
| | - Katharine Yang
- Singapore Immunology Network (SIgN), A*STAR, 8A Biomedical Grove, Immunos Building, Level 3, Singapore 138648, Singapore
| | - Immanuel Kwok
- Singapore Immunology Network (SIgN), A*STAR, 8A Biomedical Grove, Immunos Building, Level 3, Singapore 138648, Singapore
| | - Leonard Tan
- Singapore Immunology Network (SIgN), A*STAR, 8A Biomedical Grove, Immunos Building, Level 3, Singapore 138648, Singapore
| | - Melissa Ng
- Singapore Immunology Network (SIgN), A*STAR, 8A Biomedical Grove, Immunos Building, Level 3, Singapore 138648, Singapore
| | - Carlos De La Calle Fabregat
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
| | - Aline Yatim
- Institut Curie, PSL University, INSERM U932, Immunity and Cancer, 75005 Paris, France
| | - Antoine Bougouin
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC Université Paris Cité, Equipe Labellisée Ligue Nationale Contre le Cancer, Paris, France
| | - Kevin Mulder
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
- Université Paris-Saclay, Ile-de-France, France
| | - Jake Thomas
- Quantitative Systems Biology, Life and Medical Sciences Institute, University of Bonn, 53115 Bonn, Germany
| | - Javiera Villar
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
| | - Mathilde Bied
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
- Université Paris-Saclay, Ile-de-France, France
| | - Benoit Kloeckner
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
- Université Paris-Saclay, Ile-de-France, France
| | - Charles-Antoine Dutertre
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
| | - Grégoire Gessain
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
| | - Svetoslav Chakarov
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Zhaoyuan Liu
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jean-Yves Scoazec
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
| | | | - Thomas Marichal
- Laboratory of Immunophysiology, GIGA Institute, Liège University, Liège, Belgium
- Faculty of Veterinary Medicine, Liège University, Liège, Belgium
- Walloon Excellence in Life Sciences and Biotechnology (WELBIO) Department, WEL Research Institute, Wavre, Belgium
| | - Catherine Sautès-Fridman
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC Université Paris Cité, Equipe Labellisée Ligue Nationale Contre le Cancer, Paris, France
| | - Wolf Herman Fridman
- Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, USPC Université Paris Cité, Equipe Labellisée Ligue Nationale Contre le Cancer, Paris, France
| | - Ankur Sharma
- Curtin Medical School, Curtin University, Bentley, WA, Australia
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, 6 Verdun Street, Nedlands, Perth, WA 6009, Australia
- Institute of Molecular and Cellular Biology, A*STAR, Singapore 138673, Singapore
- KK Research Centre, KK Women's and Children's Hospital, Singapore 229899, Singapore
- Translational Genomics Program, Garvan Institute of Medical Research and Kinghorn Cancer Centre, Darlinghurst, NSW, Australia
| | - Bing Su
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Andreas Schlitzer
- Quantitative Systems Biology, Life and Medical Sciences Institute, University of Bonn, 53115 Bonn, Germany
| | - Lai Guan Ng
- Shanghai Immune Therapy Institute Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200010, China
- Department of Microbiology and Immunology, National University of Singapore, Singapore, Singapore
| | - Camille Blériot
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
- Institut Necker Enfants Malades (INEM), CNRS UMR 8253, INSERM U1151, 160 rue de Vaugirard, 75015 Paris, France
| | - Florent Ginhoux
- Institut Gustave Roussy, INSERM U1015, Bâtiment de Médecine Moléculaire 114 rue Edouard Vaillant, 94800 Villejuif, France
- Université Paris-Saclay, Ile-de-France, France
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- Singapore Immunology Network (SIgN), A*STAR, 8A Biomedical Grove, Immunos Building, Level 3, Singapore 138648, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228 Singapore
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8
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Biswas M. Understanding tissue-resident macrophages unlocks the potential for novel combinatorial strategies in breast cancer. Front Immunol 2024; 15:1375528. [PMID: 39104525 PMCID: PMC11298421 DOI: 10.3389/fimmu.2024.1375528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 06/14/2024] [Indexed: 08/07/2024] Open
Abstract
Tissue-resident macrophages (TRMs) are an integral part of the innate immune system, but their biology is not well understood in the context of cancer. Distinctive resident macrophage populations are identified in different organs in mice using fate mapping studies. They develop from the yolk sac and self-maintain themselves lifelong in specific tissular niches. Similarly, breast-resident macrophages are part of the mammary gland microenvironment. They reside in the breast adipose tissue stroma and close to the ductal epithelium and help in morphogenesis. In breast cancer, TRMs may promote disease progression and metastasis; however, precise mechanisms have not been elucidated. TRMs interact intimately with recruited macrophages, cytotoxic T cells, and other immune cells along with cancer cells, deciding further immunosuppressive or cytotoxic pathways. Moreover, triple-negative breast cancer (TNBC), which is generally associated with poor outcomes, can harbor specific TRM phenotypes. The influence of TRMs on adipose tissue stroma of the mammary gland also contributes to tumor progression. The complex crosstalk between TRMs with T cells, stroma, and breast cancer cells can establish a cascade of downstream events, understanding which can offer new insight for drug discovery and upcoming treatment choices. This review aims to acknowledge the previous research done in this regard while exploring existing research gaps and the future therapeutic potential of TRMs as a combination or single agent in breast cancer.
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Affiliation(s)
- Manjusha Biswas
- Department of Molecular Biomedicine, Developmental Biology of the Immune System, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
- Institute of Pharmacology and Toxicology, University Hospital, University of Bonn, Bonn, Germany
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9
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Zahraeifard S, Xiao Z, So JY, Ahad A, Montoya S, Park WY, Sornapudi T, Andohkow T, Read A, Kedei N, Koparde V, Yang H, Lee M, Wong N, Cam M, Wang K, Ruppin E, Luo J, Hollander C, Yang L. Loss of tumor suppressors promotes inflammatory tumor microenvironment and enhances LAG3+T cell mediated immune suppression. Nat Commun 2024; 15:5873. [PMID: 38997291 PMCID: PMC11245525 DOI: 10.1038/s41467-024-50262-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/02/2024] [Indexed: 07/14/2024] Open
Abstract
Low response rate, treatment relapse, and resistance remain key challenges for cancer treatment with immune checkpoint blockade (ICB). Here we report that loss of specific tumor suppressors (TS) induces an inflammatory response and promotes an immune suppressive tumor microenvironment. Importantly, low expression of these TSs is associated with a higher expression of immune checkpoint inhibitory mediators. Here we identify, by using in vivo CRISPR/Cas9 based loss-of-function screening, that NF1, TSC1, and TGF-β RII as TSs regulating immune composition. Loss of each of these three TSs leads to alterations in chromatin accessibility and enhances IL6-JAK3-STAT3/6 inflammatory pathways. This results in an immune suppressive landscape, characterized by increased numbers of LAG3+ CD8 and CD4 T cells. ICB targeting LAG3 and PD-L1 simultaneously inhibits metastatic progression in preclinical triple negative breast cancer (TNBC) mouse models of NF1-, TSC1- or TGF-β RII- deficient tumors. Our study thus reveals a role of TSs in regulating metastasis via non-cell-autonomous modulation of the immune compartment and provides proof-of-principle for ICB targeting LAG3 for patients with NF1-, TSC1- or TGF-β RII-inactivated cancers.
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Affiliation(s)
- Sara Zahraeifard
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Zhiguang Xiao
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jae Young So
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Abdul Ahad
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Selina Montoya
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Woo Yong Park
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Trinadharao Sornapudi
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Tiffany Andohkow
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Abigail Read
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Noemi Kedei
- Collaborative Protein Technology Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Vishal Koparde
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
- Advanced Biomedical Computational Sciences, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Howard Yang
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Maxwell Lee
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Nathan Wong
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
- Advanced Biomedical Computational Sciences, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, 21701, USA
| | - Maggie Cam
- Collaborative Bioinformatics Resource, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kun Wang
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Ji Luo
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Christine Hollander
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Li Yang
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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10
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Jha RM, Rajasundaram D, Sneiderman C, Schlegel BT, O'Brien C, Xiong Z, Janesko-Feldman K, Trivedi R, Vagni V, Zusman BE, Catapano JS, Eberle A, Desai SM, Jadhav AP, Mihaljevic S, Miller M, Raikwar S, Rani A, Rulney J, Shahjouie S, Raphael I, Kumar A, Phuah CL, Winkler EA, Simon DW, Kochanek PM, Kohanbash G. A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets. Neuron 2024:S0896-6273(24)00456-2. [PMID: 39019041 DOI: 10.1016/j.neuron.2024.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 05/07/2024] [Accepted: 06/20/2024] [Indexed: 07/19/2024]
Abstract
Traumatic brain injury (TBI) heterogeneity remains a critical barrier to translating therapies. Identifying final common pathways/molecular signatures that integrate this heterogeneity informs biomarker and therapeutic-target development. We present the first large-scale murine single-cell atlas of the transcriptomic response to TBI (334,376 cells) across clinically relevant models, sex, brain region, and time as a foundational step in molecularly deconstructing TBI heterogeneity. Results were unique to cell populations, injury models, sex, brain regions, and time, highlighting the importance of cell-level resolution. We identify cell-specific targets and previously unrecognized roles for microglial and ependymal subtypes. Ependymal-4 was a hub of neuroinflammatory signaling. A distinct microglial lineage shared features with disease-associated microglia at 24 h, with persistent gene-expression changes in microglia-4 even 6 months after contusional TBI, contrasting all other cell types that mostly returned to naive levels. Regional and sexual dimorphism were noted. CEREBRI, our searchable atlas (https://shiny.crc.pitt.edu/cerebri/), identifies previously unrecognized cell subtypes/molecular targets and is a leverageable platform for future efforts in TBI and other diseases with overlapping pathophysiology.
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Affiliation(s)
- Ruchira M Jha
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Dhivyaa Rajasundaram
- Department of Pediatrics, Division of Health Informatics, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Chaim Sneiderman
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Brent T Schlegel
- Department of Pediatrics, Division of Health Informatics, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Casey O'Brien
- Department of Pediatrics, Division of Health Informatics, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Zujian Xiong
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Keri Janesko-Feldman
- Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Ria Trivedi
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Vincent Vagni
- Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Benjamin E Zusman
- Department of Neurology, Massachusetts General Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Joshua S Catapano
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Adam Eberle
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | | | - Ashutosh P Jadhav
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Sandra Mihaljevic
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Margaux Miller
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Sudhanshu Raikwar
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Anupama Rani
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Jarrod Rulney
- University of Arizona School of Medicine, Tucson, AZ 85724, USA
| | - Shima Shahjouie
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurology, Pennsylvania State University, Hershey, PA 17033, USA
| | - Itay Raphael
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Aditya Kumar
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Chia-Ling Phuah
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Ethan A Winkler
- Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Dennis W Simon
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Patrick M Kochanek
- Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Gary Kohanbash
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
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11
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Guimarães GR, Maklouf GR, Teixeira CE, de Oliveira Santos L, Tessarollo NG, de Toledo NE, Serain AF, de Lanna CA, Pretti MA, da Cruz JGV, Falchetti M, Dimas MM, Filgueiras IS, Cabral-Marques O, Ramos RN, de Macedo FC, Rodrigues FR, Bastos NC, da Silva JL, Lummertz da Rocha E, Chaves CBP, de Melo AC, Moraes-Vieira PMM, Mori MA, Boroni M. Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome. Nat Commun 2024; 15:5694. [PMID: 38972873 PMCID: PMC11228020 DOI: 10.1038/s41467-024-49916-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 06/19/2024] [Indexed: 07/09/2024] Open
Abstract
Tumor-associated myeloid-derived cells (MDCs) significantly impact cancer prognosis and treatment responses due to their remarkable plasticity and tumorigenic behaviors. Here, we integrate single-cell RNA-sequencing data from different cancer types, identifying 29 MDC subpopulations within the tumor microenvironment. Our analysis reveals abnormally expanded MDC subpopulations across various tumors and distinguishes cell states that have often been grouped together, such as TREM2+ and FOLR2+ subpopulations. Using deconvolution approaches, we identify five subpopulations as independent prognostic markers, including states co-expressing TREM2 and PD-1, and FOLR2 and PDL-2. Additionally, TREM2 alone does not reliably predict cancer prognosis, as other TREM2+ macrophages show varied associations with prognosis depending on local cues. Validation in independent cohorts confirms that FOLR2-expressing macrophages correlate with poor clinical outcomes in ovarian and triple-negative breast cancers. This comprehensive MDC atlas offers valuable insights and a foundation for futher analyses, advancing strategies for treating solid cancers.
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Affiliation(s)
- Gabriela Rapozo Guimarães
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Giovanna Resk Maklouf
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Cristiane Esteves Teixeira
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Leandro de Oliveira Santos
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Nayara Gusmão Tessarollo
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Nayara Evelin de Toledo
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Alessandra Freitas Serain
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Cristóvão Antunes de Lanna
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Marco Antônio Pretti
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Jéssica Gonçalves Vieira da Cruz
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Marcelo Falchetti
- Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Mylla M Dimas
- Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Igor Salerno Filgueiras
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil
| | - Otavio Cabral-Marques
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil
- Instituto D'Or de Ensino e Pesquisa, São Paulo, Brazil
- Department of Medicine, Division of Molecular Medicine, Laboratory of Medical Investigation 29, School of Medicine, University of São Paulo (USP), São Paulo, Brazil
| | - Rodrigo Nalio Ramos
- Department of Immunology, Institute of Biomedical Sciences, University of São Paulo,(USP), São Paulo, Brazil
- Instituto D'Or de Ensino e Pesquisa, São Paulo, Brazil
- Laboratory of Medical Investigation in Pathogenesis and Directed Therapy in Onco-Immuno-Hematology (LIM-31), Departament of Hematology and Cell Therapy, Hospital das Clínicas HCFMUSP, School of Medicine, University of São Paulo (USP), São Paulo, Brazil
| | | | | | - Nina Carrossini Bastos
- Division of Pathology, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Jesse Lopes da Silva
- Division of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Edroaldo Lummertz da Rocha
- Department of Microbiology, Immunology, and Parasitology, Federal University of Santa Catarina, Florianópolis, SC, Brazil
| | - Cláudia Bessa Pereira Chaves
- Division of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
- Gynecologic Oncology Section, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Andreia Cristina de Melo
- Division of Clinical Research and Technological Development, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil
| | - Pedro M M Moraes-Vieira
- Laboratory of Immunometabolism, Department of Genetics, Evolution, Microbiology, and Immunology, Institute of Biology, Universidade Estadual de Campinas, Campinas, SP, Brazil
- Obesity and Comorbidities Research Center (OCRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
- Experimental Medicine Research Cluster (EMRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Marcelo A Mori
- Obesity and Comorbidities Research Center (OCRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
- Experimental Medicine Research Cluster (EMRC), Universidade Estadual de Campinas, Campinas, SP, Brazil
- Laboratory of Aging Biology, Department of Biochemistry and Tissue Biology, Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Mariana Boroni
- Laboratory of Bioinformatics and Computational Biology, Division of Experimental and Translational Research, Brazilian National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.
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12
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Akkari L, Amit I, Bronte V, Fridlender ZG, Gabrilovich DI, Ginhoux F, Hedrick CC, Ostrand-Rosenberg S. Defining myeloid-derived suppressor cells. Nat Rev Immunol 2024:10.1038/s41577-024-01062-0. [PMID: 38969773 DOI: 10.1038/s41577-024-01062-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/18/2024] [Indexed: 07/07/2024]
Affiliation(s)
- Leila Akkari
- Division of Tumour Biology and Immunology, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Ido Amit
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel.
| | | | - Zvi G Fridlender
- Institute of Pulmonary Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
| | | | - Florent Ginhoux
- Gustave Roussy Cancer Campus, Villejuif, France.
- Paris-Saclay University, Paris, France.
| | - Catherine C Hedrick
- Immunology Center of Georgia, Augusta University, Augusta, GA, USA.
- Georgia Cancer Center, Augusta University, Augusta, GA, USA.
- Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA.
| | - Suzanne Ostrand-Rosenberg
- Department of Pathology, University of Utah, Salt Lake City, UT, USA.
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
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13
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Ertel MV, da Silva ABA, de Sousa DF, Dos Santos CJ, da Silva TM, da Silva-Sales MFM, de Oliveira Matos A, Sales-Campos H. Who is who within the universe of TREM-like transcripts (TREML)? Life Sci 2024; 348:122696. [PMID: 38710279 DOI: 10.1016/j.lfs.2024.122696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 04/29/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Abstract
The Triggering Receptor Expressed on Myeloid Cells (TREM) family of receptors plays a crucial role in the immune response across various species. Particularly, TREM-1 and TREM-2 have been extensively studied, both in terms of their applications and their expression sites and signaling pathways. However, the same is not observed for the other family members collectively known as TREM-like-transcripts (TREML). The TREML family consists of eight receptors, with TREML1-5 identified in humans and mice, TREML-6 exclusive found in mice, TREML-7 in dogs and horses, and TREML-8 in rabbits and opossums. Despite the limited data available on the TREML members, they have been implicated in different immune and non-immune activities, which have been proposed to display both pro and anti-inflammatory activities, and to influence fundamental biological processes such as coagulation, bone and neurological development. In this review, we have compiled available information regarding the already discovered members of the family and provided foundational framework for understanding the function, localization, and therapeutic potential of all TREML members. Additionally, we hope that this review may shed light on this family of receptors, whose underlying mechanisms are still awaiting elucidation, while emphasizing the need for future studies to explore their functions and potential therapeutic application.
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Affiliation(s)
- Márcia Verônica Ertel
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
| | | | - Daniel Francisco de Sousa
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
| | - Cairo José Dos Santos
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
| | - Tatiane Mendonça da Silva
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
| | | | - Amanda de Oliveira Matos
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
| | - Helioswilton Sales-Campos
- Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil.
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14
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Hegde S, Giotti B, Soong BY, Halasz L, Berichel JL, Magen A, Kloeckner B, Mattiuz R, Park MD, Marks A, Belabed M, Hamon P, Chin T, Troncoso L, Lee JJ, Ahimovic D, Bale M, Chung G, D'souza D, Angeliadis K, Dawson T, Kim-Schulze S, Flores RM, Kaufman AJ, Ginhoux F, Josefowicz SZ, Ma S, Tsankov AM, Marron TU, Brown BD, Merad M. Myeloid progenitor dysregulation fuels immunosuppressive macrophages in tumors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.24.600383. [PMID: 38979166 PMCID: PMC11230224 DOI: 10.1101/2024.06.24.600383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Monocyte-derived macrophages (mo-macs) drive immunosuppression in the tumor microenvironment (TME) and tumor-enhanced myelopoiesis in the bone marrow (BM) fuels these populations. Here, we performed paired transcriptome and chromatin analysis over the continuum of BM myeloid progenitors, circulating monocytes, and tumor-infiltrating mo-macs in mice and in patients with lung cancer to identify myeloid progenitor programs that fuel pro-tumorigenic mo-macs. Analyzing chromatin accessibility and histone mark changes, we show that lung tumors prime accessibility for Nfe2l2 (NRF2) in BM myeloid progenitors as a cytoprotective response to oxidative stress. NRF2 activity is sustained and increased during monocyte differentiation into mo-macs in the lung TME to regulate oxidative stress, in turn promoting metabolic adaptation, resistance to cell death, and contributing to immunosuppressive phenotype. NRF2 genetic deletion and pharmacological inhibition significantly reduced mo-macs' survival and immunosuppression in the TME, enabling NK and T cell therapeutic antitumor immunity and synergizing with checkpoint blockade strategies. Altogether, our study identifies a targetable epigenetic node of myeloid progenitor dysregulation that sustains immunoregulatory mo-macs in the TME.
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15
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Guo X, Zhao Y, You F. MOI is a comprehensive database collecting processed multi-omics data associated with viral infection. Sci Rep 2024; 14:14725. [PMID: 38926513 PMCID: PMC11208532 DOI: 10.1038/s41598-024-65629-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 06/21/2024] [Indexed: 06/28/2024] Open
Abstract
Viral infections pose significant public health challenges, exemplified by the global impact of COVID-19 caused by SARS-CoV-2. Understanding the intricate molecular mechanisms governing virus-host interactions is pivotal for effective intervention strategies. Despite the burgeoning multi-omics data on viral infections, a centralized database elucidating host responses to viruses remains lacking. In response, we have developed a comprehensive database named 'MOI' (available at http://www.fynn-guo.cn/ ), specifically designed to aggregate processed Multi-Omics data related to viral Infections. This meticulously curated database serves as a valuable resource for conducting detailed investigations into virus-host interactions. Leveraging high-throughput sequencing data and metadata from PubMed and Gene Expression Omnibus (GEO), MOI comprises over 3200 viral-infected samples, encompassing human and murine infections. Standardized processing pipelines ensure data integrity, including bulk RNA sequencing (RNA-seq), single-cell RNA-seq (scRNA-seq), Chromatin Immunoprecipitation sequencing (ChIP-seq), and Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq). MOI offers user-friendly interfaces presenting comprehensive cell marker tables, gene expression data, and epigenetic landscape charts. Analytical tools for DNA sequence conversion, FPKM calculation, differential gene expression, and Gene Ontology (GO)/ Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment enhance data interpretation. Additionally, MOI provides 16 visualization plots for intuitive data exploration. In summary, MOI serves as a valuable repository for researchers investigating virus-host interactions. By centralizing and facilitating access to multi-omics data, MOI aims to advance our understanding of viral pathogenesis and expedite the development of therapeutic interventions.
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Affiliation(s)
- Xuefei Guo
- Institute of Systems Biomedicine, Department of Immunology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, NHC Key Laboratory of Medical Immunology, Peking University Health Science Center, Beijing, China.
| | - Yang Zhao
- Institute of Systems Biomedicine, Department of Immunology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, NHC Key Laboratory of Medical Immunology, Peking University Health Science Center, Beijing, China
| | - Fuping You
- Institute of Systems Biomedicine, Department of Immunology, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, NHC Key Laboratory of Medical Immunology, Peking University Health Science Center, Beijing, China
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16
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Bharadwaj S, Groza Y, Mierzwicka JM, Malý P. Current understanding on TREM-2 molecular biology and physiopathological functions. Int Immunopharmacol 2024; 134:112042. [PMID: 38703564 DOI: 10.1016/j.intimp.2024.112042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/05/2024] [Accepted: 04/05/2024] [Indexed: 05/06/2024]
Abstract
Triggering receptor expressed on myeloid cells 2 (TREM-2), a glycosylated receptor belonging to the immunoglobin superfamily and especially expressed in the myeloid cell lineage, is frequently explained as a reminiscent receptor for both adaptive and innate immunity regulation. TREM-2 is also acknowledged to influence NK cell differentiation via the PI3K and PLCγ signaling pathways, as well as the partial activation or direct inhibition of T cells. Additionally, TREM-2 overexpression is substantially linked to cell-specific functions, such as enhanced phagocytosis, reduced toll-like receptor (TLR)-mediated inflammatory cytokine production, increased transcription of anti-inflammatory cytokines, and reshaped T cell function. Whereas TREM-2-deficient cells exhibit diminished phagocytic function and enhanced proinflammatory cytokines production, proceeding to inflammatory injuries and an immunosuppressive environment for disease progression. Despite the growing literature supporting TREM-2+ cells in various diseases, such as neurodegenerative disorders and cancer, substantial facets of TREM-2-mediated signaling remain inadequately understood relevant to pathophysiology conditions. In this direction, herein, we have summarized the current knowledge on TREM-2 biology and cell-specific TREM-2 expression, particularly in the modulation of pivotal TREM-2-dependent functions under physiopathological conditions. Furthermore, molecular regulation and generic biological relevance of TREM-2 are also discussed, which might provide an alternative approach for preventing or reducing TREM-2-associated deformities. At last, we discussed the TREM-2 function in supporting an immunosuppressive cancer environment and as a potential drug target for cancer immunotherapy. Hence, summarized knowledge of TREM-2 might provide a window to overcome challenges in clinically effective therapies for TREM-2-induced diseases in humans.
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Affiliation(s)
- Shiv Bharadwaj
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic.
| | - Yaroslava Groza
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic
| | - Joanna M Mierzwicka
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic
| | - Petr Malý
- Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences, BIOCEV Research Center, Průmyslová 595, 252 50 Vestec, Czech Republic.
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17
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McGinnis CS, Miao Z, Superville D, Yao W, Goga A, Reticker-Flynn NE, Winkler J, Satpathy AT. The temporal progression of lung immune remodeling during breast cancer metastasis. Cancer Cell 2024; 42:1018-1031.e6. [PMID: 38821060 PMCID: PMC11255555 DOI: 10.1016/j.ccell.2024.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 03/23/2024] [Accepted: 05/06/2024] [Indexed: 06/02/2024]
Abstract
Tumor metastasis requires systemic remodeling of distant organ microenvironments that impacts immune cell phenotypes, population structure, and intercellular communication. However, our understanding of immune phenotypic dynamics in the metastatic niche remains incomplete. Here, we longitudinally assayed lung immune transcriptional profiles in the polyomavirus middle T antigen (PyMT) and 4T1 metastatic breast cancer models from primary tumorigenesis, through pre-metastatic niche formation, to the final stages of metastatic outgrowth at single-cell resolution. Computational analyses of these data revealed a TLR-NFκB inflammatory program enacted by both peripherally derived and tissue-resident myeloid cells that correlated with pre-metastatic niche formation and mirrored CD14+ "activated" myeloid cells in the primary tumor. Moreover, we observed that primary tumor and metastatic niche natural killer (NK) cells are differentially regulated in mice and human patient samples, with the metastatic niche featuring elevated cytotoxic NK cell proportions. Finally, we identified cell-type-specific dynamic regulation of IGF1 and CCL6 signaling during metastatic progression that represents anti-metastatic immunotherapy candidate pathways.
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Affiliation(s)
- Christopher S McGinnis
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA
| | - Zhuang Miao
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
| | - Daphne Superville
- Helen Diller Family Comprehensive Cancer Center, UCSF, San Francisco, CA 94158, USA; Department of Cell and Tissue Biology, UCSF, San Francisco, CA 94143, USA; Department of Medicine, UCSF, San Francisco, CA 94143, USA
| | - Winnie Yao
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
| | - Andrei Goga
- Helen Diller Family Comprehensive Cancer Center, UCSF, San Francisco, CA 94158, USA; Department of Cell and Tissue Biology, UCSF, San Francisco, CA 94143, USA; Department of Medicine, UCSF, San Francisco, CA 94143, USA
| | | | - Juliane Winkler
- Center for Cancer Research, Medical University of Vienna, Vienna 1090, Austria.
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University, Stanford, CA 94305, USA; Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA.
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18
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Zhong J, Xing X, Gao Y, Pei L, Lu C, Sun H, Lai Y, Du K, Xiao F, Yang Y, Wang X, Shi Y, Bai F, Zhang N. Distinct roles of TREM2 in central nervous system cancers and peripheral cancers. Cancer Cell 2024; 42:968-984.e9. [PMID: 38788719 DOI: 10.1016/j.ccell.2024.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/26/2024] [Accepted: 05/01/2024] [Indexed: 05/26/2024]
Abstract
Glioblastomas (GBM) are incurable central nervous system (CNS) cancers characterized by substantial myeloid cell infiltration. Whether myeloid cell-directed therapeutic targets identified in peripheral non-CNS cancers are applicable to GBM requires further study. Here, we identify that the critical immunosuppressive target in peripheral cancers, triggering receptor expressed on myeloid cells-2 (TREM2), is immunoprotective in GBM. Genetic or pharmacological TREM2 deficiency promotes GBM progression in vivo. Single-cell and spatial sequencing reveals downregulated TREM2 in GBM-infiltrated myeloid cells. TREM2 negatively correlates with immunosuppressive myeloid and T cell exhaustion signatures in GBM. We further demonstrate that during GBM progression, CNS-enriched sphingolipids bind TREM2 on myeloid cells and elicit antitumor responses. Clinically, high TREM2 expression in myeloid cells correlates with better survival in GBM. Adeno-associated virus-mediated TREM2 overexpression impedes GBM progression and synergizes with anti-PD-1 therapy. Our results reveal distinct functions of TREM2 in CNS cancers and support organ-specific myeloid cell remodeling in cancer immunotherapy.
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Affiliation(s)
- Jian Zhong
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Xudong Xing
- Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China; Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China
| | - Yixin Gao
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Lei Pei
- Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China; Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China
| | - Chenfei Lu
- Department of Cell Biology, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Huixin Sun
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Yanxing Lai
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Kang Du
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China
| | - Feizhe Xiao
- Department of Scientific Research Section, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Ying Yang
- Institute of Pathology and Southwest Cancer Centre, Key Laboratory of Tumor Immunopathology of the Ministry of Education of China, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China; Yu-Yue Pathology Scientific Research Center and Jinfeng Laboratory, Chongqing 400039, China
| | - Xiuxing Wang
- Department of Cell Biology, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yu Shi
- Institute of Pathology and Southwest Cancer Centre, Key Laboratory of Tumor Immunopathology of the Ministry of Education of China, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, China; Yu-Yue Pathology Scientific Research Center and Jinfeng Laboratory, Chongqing 400039, China
| | - Fan Bai
- Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China; Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China.
| | - Nu Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China.
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19
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Bader JE, Wolf MM, Lupica-Tondo GL, Madden MZ, Reinfeld BI, Arner EN, Hathaway ES, Steiner KK, Needle GA, Hatem Z, Landis MD, Faneuff EE, Blackman A, Wolf EM, Cottam MA, Ye X, Bates ME, Smart K, Wang W, Pinheiro LV, Christofides A, Smith D, Boussiotis VA, Haake SM, Beckermann KE, Wellen KE, Reinhart-King CA, Serezani CH, Lee CH, Aubrey C, Chen H, Rathmell WK, Hasty AH, Rathmell JC. Obesity induces PD-1 on macrophages to suppress anti-tumour immunity. Nature 2024; 630:968-975. [PMID: 38867043 DOI: 10.1038/s41586-024-07529-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 05/07/2024] [Indexed: 06/14/2024]
Abstract
Obesity is a leading risk factor for progression and metastasis of many cancers1,2, yet can in some cases enhance survival3-5 and responses to immune checkpoint blockade therapies, including anti-PD-1, which targets PD-1 (encoded by PDCD1), an inhibitory receptor expressed on immune cells6-8. Although obesity promotes chronic inflammation, the role of the immune system in the obesity-cancer connection and immunotherapy remains unclear. It has been shown that in addition to T cells, macrophages can express PD-19-12. Here we found that obesity selectively induced PD-1 expression on tumour-associated macrophages (TAMs). Type I inflammatory cytokines and molecules linked to obesity, including interferon-γ, tumour necrosis factor, leptin, insulin and palmitate, induced macrophage PD-1 expression in an mTORC1- and glycolysis-dependent manner. PD-1 then provided negative feedback to TAMs that suppressed glycolysis, phagocytosis and T cell stimulatory potential. Conversely, PD-1 blockade increased the level of macrophage glycolysis, which was essential for PD-1 inhibition to augment TAM expression of CD86 and major histocompatibility complex I and II molecules and ability to activate T cells. Myeloid-specific PD-1 deficiency slowed tumour growth, enhanced TAM glycolysis and antigen-presentation capability, and led to increased CD8+ T cell activity with a reduced level of markers of exhaustion. These findings show that obesity-associated metabolic signalling and inflammatory cues cause TAMs to induce PD-1 expression, which then drives a TAM-specific feedback mechanism that impairs tumour immune surveillance. This may contribute to increased cancer risk yet improved response to PD-1 immunotherapy in obesity.
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Affiliation(s)
- Jackie E Bader
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Melissa M Wolf
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gian Luca Lupica-Tondo
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew Z Madden
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bradley I Reinfeld
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emily N Arner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emma S Hathaway
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - KayLee K Steiner
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gabriel A Needle
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zaid Hatem
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Madelyn D Landis
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eden E Faneuff
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amondrea Blackman
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Elysa M Wolf
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Matthew A Cottam
- Department of Surgery, Division of Surgical Oncology and Endocrine Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiang Ye
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Madison E Bates
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kyra Smart
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Wenjun Wang
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Laura V Pinheiro
- Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anthos Christofides
- Department of Medicine, Division of Hematology-Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Harvard University, Boston, MA, USA
| | - DuPreez Smith
- Department of Obstetrics and Gynecology, University of Alberta, Edmonton, Alberta, Canada
| | - Vassiliki A Boussiotis
- Department of Medicine, Division of Hematology-Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Scott M Haake
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kathryn E Beckermann
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kathryn E Wellen
- Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - C Henrique Serezani
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cheng-Han Lee
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Christa Aubrey
- Department of Obstetrics and Gynecology, University of Alberta, Edmonton, Alberta, Canada
| | - Heidi Chen
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
| | - W Kimryn Rathmell
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alyssa H Hasty
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
- US Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Jeffrey C Rathmell
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA.
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
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20
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Di Luccia B, Molgora M, Khantakova D, Jaeger N, Chang HW, Czepielewski RS, Helmink BA, Onufer EJ, Fachi JL, Bhattarai B, Trsan T, Rodrigues PF, Hou J, Bando JK, da Silva CS, Cella M, Gilfillan S, Schreiber RD, Gordon JI, Colonna M. TREM2 deficiency reprograms intestinal macrophages and microbiota to enhance anti-PD-1 tumor immunotherapy. Sci Immunol 2024; 9:eadi5374. [PMID: 38758808 PMCID: PMC11299520 DOI: 10.1126/sciimmunol.adi5374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 04/25/2024] [Indexed: 05/19/2024]
Abstract
The gut microbiota and tumor-associated macrophages (TAMs) affect tumor responses to anti-programmed cell death protein 1 (PD-1) immune checkpoint blockade. Reprogramming TAM by either blocking or deleting the macrophage receptor triggering receptor on myeloid cells 2 (TREM2) attenuates tumor growth, and lack of functional TREM2 enhances tumor elimination by anti-PD-1. Here, we found that anti-PD-1 treatment combined with TREM2 deficiency in mice induces proinflammatory programs in intestinal macrophages and a concomitant expansion of Ruminococcus gnavus in the gut microbiota. Gavage of wild-type mice with R. gnavus enhanced anti-PD-1-mediated tumor elimination, recapitulating the effect occurring in the absence of TREM2. A proinflammatory intestinal environment coincided with expansion, increased circulation, and migration of TNF-producing CD4+ T cells to the tumor bed. Thus, TREM2 remotely controls anti-PD-1 immune checkpoint blockade through modulation of the intestinal immune environment and microbiota, with R. gnavus emerging as a potential probiotic agent for increasing responsiveness to anti-PD-1.
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Affiliation(s)
- Blanda Di Luccia
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Martina Molgora
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Darya Khantakova
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Natalia Jaeger
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Hao-Wei Chang
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Rafael S. Czepielewski
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Beth A. Helmink
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Emily J. Onufer
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - José L. Fachi
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Bishan Bhattarai
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Tihana Trsan
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Patrick F. Rodrigues
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - JinChao Hou
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Jennifer K. Bando
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
- Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA
| | - Cristiane Sécca da Silva
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Marina Cella
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Susan Gilfillan
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Robert D. Schreiber
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
| | - Jeffrey I. Gordon
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Marco Colonna
- Department of Pathology and Immunology, Washington University School of Medicine in Saint Louis, St. Louis, MO 63110, USA
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21
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Chapman NM, Chi H. Metabolic rewiring and communication in cancer immunity. Cell Chem Biol 2024; 31:862-883. [PMID: 38428418 PMCID: PMC11177544 DOI: 10.1016/j.chembiol.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/29/2024] [Accepted: 02/08/2024] [Indexed: 03/03/2024]
Abstract
The immune system shapes tumor development and progression. Although immunotherapy has transformed cancer treatment, its overall efficacy remains limited, underscoring the need to uncover mechanisms to improve therapeutic effects. Metabolism-associated processes, including intracellular metabolic reprogramming and intercellular metabolic crosstalk, are emerging as instructive signals for anti-tumor immunity. Here, we first summarize the roles of intracellular metabolic pathways in controlling immune cell function in the tumor microenvironment. How intercellular metabolic communication regulates anti-tumor immunity, and the impact of metabolites or nutrients on signaling events, are also discussed. We then describe how targeting metabolic pathways in tumor cells or intratumoral immune cells or via nutrient-based interventions may boost cancer immunotherapies. Finally, we conclude with discussions on profiling and functional perturbation methods of metabolic activity in intratumoral immune cells, and perspectives on future directions. Uncovering the mechanisms for metabolic rewiring and communication in the tumor microenvironment may enable development of novel cancer immunotherapies.
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Affiliation(s)
- Nicole M Chapman
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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22
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Xiao J, Wang S, Chen L, Ding X, Dang Y, Han M, Zheng Y, Shen H, Wu S, Wang M, Yang D, Li N, Dong C, Hu M, Su C, Li W, Hui L, Ye Y, Tang H, Wei B, Wang H. 25-Hydroxycholesterol regulates lysosome AMP kinase activation and metabolic reprogramming to educate immunosuppressive macrophages. Immunity 2024; 57:1087-1104.e7. [PMID: 38640930 DOI: 10.1016/j.immuni.2024.03.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/22/2023] [Accepted: 03/27/2024] [Indexed: 04/21/2024]
Abstract
Macrophages are critical to turn noninflamed "cold tumors" into inflamed "hot tumors". Emerging evidence indicates abnormal cholesterol metabolites in the tumor microenvironment (TME) with unclear function. Here, we uncovered the inducible expression of cholesterol-25-hydroxylase (Ch25h) by interleukin-4 (IL-4) and interleukin-13 (IL-13) via the transcription factor STAT6, causing 25-hydroxycholesterol (25HC) accumulation. scRNA-seq analysis confirmed that CH25Hhi subsets were enriched in immunosuppressive macrophage subsets and correlated to lower survival rates in pan-cancers. Targeting CH25H abrogated macrophage immunosuppressive function to enhance infiltrating T cell numbers and activation, which synergized with anti-PD-1 to improve anti-tumor efficacy. Mechanically, lysosome-accumulated 25HC competed with cholesterol for GPR155 binding to inhibit the kinase mTORC1, leading to AMPKα activation and metabolic reprogramming. AMPKα also phosphorylated STAT6 Ser564 to enhance STAT6 activation and ARG1 production. Together, we propose CH25H as an immunometabolic checkpoint, which manipulates macrophage fate to reshape CD8+ T cell surveillance and anti-tumor response.
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Affiliation(s)
- Jun Xiao
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Department of Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Shuang Wang
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Longlong Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xinyu Ding
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanhao Dang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Mingshun Han
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuxiao Zheng
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Huan Shen
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Sifan Wu
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Mingchang Wang
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Dan Yang
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Na Li
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chen Dong
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Miao Hu
- Department of Gastroenterology, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Shanghai, China
| | - Chen Su
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Science, Shanghai 201210, China
| | - Weiyun Li
- Cancer Center, Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai 200072, China
| | - Lijian Hui
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Youqiong Ye
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, State Key Laboratory of Oncogenes and Related Genes, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Huiru Tang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
| | - Bin Wei
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; Cancer Center, Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai 200072, China; Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
| | - Hongyan Wang
- Key Laboratory of RNA Science and Engineering, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
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23
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Sheng Y, Hu W, Chen S, Zhu X. Efferocytosis by macrophages in physiological and pathological conditions: regulatory pathways and molecular mechanisms. Front Immunol 2024; 15:1275203. [PMID: 38779685 PMCID: PMC11109379 DOI: 10.3389/fimmu.2024.1275203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 04/17/2024] [Indexed: 05/25/2024] Open
Abstract
Efferocytosis is defined as the highly effective phagocytic removal of apoptotic cells (ACs) by professional or non-professional phagocytes. Tissue-resident professional phagocytes ("efferocytes"), such as macrophages, have high phagocytic capacity and are crucial to resolve inflammation and aid in homeostasis. Recently, numerous exciting discoveries have revealed divergent (and even diametrically opposite) findings regarding metabolic immune reprogramming associated with efferocytosis by macrophages. In this review, we highlight the key metabolites involved in the three phases of efferocytosis and immune reprogramming of macrophages under physiological and pathological conditions. The next decade is expected to yield further breakthroughs in the regulatory pathways and molecular mechanisms connecting immunological outcomes to metabolic cues as well as avenues for "personalized" therapeutic intervention.
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Affiliation(s)
- Yan−Ran Sheng
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Wen−Ting Hu
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Siman Chen
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Xiao−Yong Zhu
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
- Key Laboratory of Reproduction Regulation of NPFPC, SIPPR, IRD, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Fudan University, Shanghai, China
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24
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Peshoff MM, Gupta P, Oberai S, Trivedi R, Katayama H, Chakrapani P, Dang M, Migliozzi S, Gumin J, Kadri DB, Lin JK, Milam NK, Maynard ME, Vaillant BD, Parker-Kerrigan B, Lang FF, Huse JT, Iavarone A, Wang L, Clise-Dwyer K, Bhat KP. Triggering receptor expressed on myeloid cells 2 (TREM2) regulates phagocytosis in glioblastoma. Neuro Oncol 2024; 26:826-839. [PMID: 38237157 PMCID: PMC11066944 DOI: 10.1093/neuonc/noad257] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND Glioblastomas (GBMs) are central nervous system tumors that resist standard-of-care interventions and even immune checkpoint blockade. Myeloid cells in the tumor microenvironment can contribute to GBM progression; therefore, emerging immunotherapeutic approaches include reprogramming these cells to achieve desirable antitumor activity. Triggering receptor expressed on myeloid cells 2 (TREM2) is a myeloid signaling regulator that has been implicated in a variety of cancers and neurological diseases with contrasting functions, but its role in GBM immunopathology and progression is still under investigation. METHODS Our reverse translational investigations leveraged single-cell RNA sequencing and cytometry of human gliomas to characterize TREM2 expression across myeloid subpopulations. Using 2 distinct murine glioma models, we examined the role of Trem2 on tumor progression and immune modulation of myeloid cells. Furthermore, we designed a method of tracking phagocytosis of glioma cells in vivo and employed in vitro assays to mechanistically understand the influence of TREM2 signaling on tumor uptake. RESULTS We discovered that TREM2 expression does not correlate with immunosuppressive pathways, but rather showed strong a positive association with the canonical phagocytosis markers lysozyme (LYZ) and macrophage scavenger receptor (CD163) in gliomas. While Trem2 deficiency was found to be dispensable for gliomagenesis, Trem2+ myeloid cells display enhanced tumor uptake compared to Trem2- cells. Mechanistically, we demonstrate that TREM2 mediates phagocytosis via Syk signaling. CONCLUSIONS These results indicate that TREM2 is not associated with immunosuppression in gliomas. Instead, TREM2 is an important regulator of phagocytosis that may be exploited as a potential therapeutic strategy for brain tumors.
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Affiliation(s)
- Mekenzie M Peshoff
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Pravesh Gupta
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Shivangi Oberai
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Rakesh Trivedi
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Hiroshi Katayama
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Prashanth Chakrapani
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Minghao Dang
- Department of Genomic Medicine, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Simona Migliozzi
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Joy Gumin
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Divya B Kadri
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jessica K Lin
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Nancy K Milam
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Mark E Maynard
- Department of Electrical and Computer Engineering, University of Houston, Houston, Texas, USA
| | - Brian D Vaillant
- Departments of Translational Molecular Pathology, Dell Medical School, University of Texas at Austin, Austin, Texas, USA
| | - Brittany Parker-Kerrigan
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Frederick F Lang
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jason T Huse
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Antonio Iavarone
- Department of Neurological Surgery, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Linghua Wang
- Department of Genomic Medicine, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Karen Clise-Dwyer
- Department of Hematopoietic Biology & Malignancy, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Krishna P Bhat
- Department of Translational Molecular Pathology, Neurosurgery at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, UTHealth Houston Graduate School of Biomedical Sciences, Houston, Texas, USA
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25
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Zheng J, Wang L, Zhao S, Zhang W, Chang Y, Bosco DB, Huang T, Dheer A, Gao S, Xu S, Ayasoufi K, Al-Kharboosh R, Qi F, Xie M, Johnson AJ, Dong H, Quiñones-Hinojosa A, Wu LJ. TREM2 mediates MHCII-associated CD4+ T-cell response against gliomas. Neuro Oncol 2024; 26:811-825. [PMID: 37941134 PMCID: PMC11066911 DOI: 10.1093/neuonc/noad214] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND Myeloid cells comprise up to 50% of the total tumor mass in glioblastoma (GBM) and have been implicated in promoting tumor progression and immunosuppression. Modulating the response of myeloid cells to the tumor has emerged as a promising new approach for cancer treatment. In this regard, we focus on the Triggering Receptor Expressed on Myeloid Cells 2 (TREM2), which has recently emerged as a novel immune modulator in peripheral tumors. METHODS We studied the TREM2 expression profile in various patient tumor samples and conducted single-cell transcriptomic analysis in both GBM patients and the GL261 mouse glioma model. We utilized multiple mouse glioma models and employed state-of-the-art techniques such as invivo 2-photon imaging, spectrum flow cytometry, and in vitro co-culture assays to study TREM2 function in myeloid cell-mediated phagocytosis of tumor cells, antigen presentation, and response of CD4+ T cells within the tumor hemispheres. RESULTS Our research revealed significantly elevated levels of TREM2 expression in brain tumors compared to other types of tumors in patients. TREM2 was predominantly localized in tumor-associated myeloid cells and was highly expressed in nearly all microglia, as well as various subtypes of macrophages. Surprisingly, in preclinical glioma models, TREM2 deficiency did not confer a beneficial effect; instead, it accelerated glioma progression. Through detailed investigations, we determined that TREM2 deficiency impaired the ability of tumor-myeloid cells to phagocytose tumor cells and led to reduced expression of MHCII. This deficiency further significantly decreased the presence of CD4+ T cells within the tumor hemispheres. CONCLUSIONS Our study unveiled a previously unrecognized protective role of tumor-myeloid TREM2. Specifically, we found that TREM2 enhances the phagocytosis of tumor cells and promotes an immune response by facilitating MHCII-associated CD4+ T-cell responses against gliomas.
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Affiliation(s)
- Jiaying Zheng
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Lingxiao Wang
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Shunyi Zhao
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Wenjing Zhang
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Yuzhou Chang
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Dale B Bosco
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Tao Huang
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aastha Dheer
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Shan Gao
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
| | - Shengze Xu
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Rawan Al-Kharboosh
- Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota, USA
- Department of Neurologic Surgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Fangfang Qi
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Manling Xie
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Aaron J Johnson
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA
| | - Haidong Dong
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Long-Jun Wu
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Immunology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
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26
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Xie J, Zhang P, Xu X, Zhou X, Zhao S, Zhang M, Qi M. PANoptosis-related signature in melanoma: Transcriptomic mapping and clinical prognostication. ENVIRONMENTAL TOXICOLOGY 2024; 39:2545-2559. [PMID: 38189554 DOI: 10.1002/tox.24126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/19/2023] [Accepted: 12/25/2023] [Indexed: 01/09/2024]
Abstract
Programmed cell death plays a pivotal role in maintaining tissue homeostasis, and recent advancements in cell biology have uncovered PANoptosis-a novel paradigm integrating pyroptosis, apoptosis, and necroptosis. This study investigates the implications of PANoptosis in melanoma, a formidable skin cancer known for its metastatic potential and resistance to conventional therapies. Leveraging bulk and single-cell transcriptome analyses, machine learning modeling, and immune correlation assessments, we unveil the molecular intricacies of PANoptosis in melanoma. Single-cell sequencing identifies diverse cell types involved in PANoptosis, while bulk transcriptome analysis reveals key gene sets correlated with PANoptosis. Machine learning algorithms construct a robust prognostic model, demonstrating consistent predictive power across diverse cohorts. Patients with different cohorts can be divided into high-risk and low-risk groups according to this PANoptosis score, with the high-risk group having a significantly worse prognosis. Immune correlation analyses unveil a link between PANoptosis and immunotherapy response, with potential therapeutic implications. Mutation analysis and enrichment studies provide insights into the mutational landscape associated with PANoptosis. Finally, we used cell experiments to verify the expression and function of key gene PARVA, showing that PARVA was highly expressed in melanoma cell lines, and after PARVA is knocked down, cell invasion, migration, and colony formation ability were significantly decreased. This study advances our understanding of PANoptosis in melanoma, offering a comprehensive framework for targeted therapeutic interventions and personalized medicine strategies in combating this aggressive malignancy.
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Affiliation(s)
- Jiaheng Xie
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Pengpeng Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xiaolong Xu
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Xinxin Zhou
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Songyun Zhao
- Department of Neurosurgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Min Zhang
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Min Qi
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China
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27
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Lei X, Gou YN, Hao JY, Huang XJ. Mechanisms of TREM2 mediated immunosuppression and regulation of cancer progression. Front Oncol 2024; 14:1375729. [PMID: 38725629 PMCID: PMC11079285 DOI: 10.3389/fonc.2024.1375729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
Cancer immunotherapy has recently emerged as a key strategy for cancer treatment. TREM2, a key target for regulating the tumor immune microenvironment, is important in cancer treatment and progression. TREM2 is an immune signaling hub that regulates multiple pathological pathways. It not only suppresses anti-tumor immune responses by inhibiting T cell-mediated immune responses, but it also influences tumorigenesis by affecting NK cell-mediated anti-tumor immunity. Noticeably, TREM2 expression levels also vary significantly among different tumor cells, and it can regulate tumor progression by modulating various signaling pathways. Above all, by summarizing the role of TREM2 in cancer immunotherapy and the mechanism by which TREM2 regulates tumor progression, this paper clarifies TREM2's role in both tumor progression and cancer therapy, identifying a new therapeutic target for oncology diseases.
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Affiliation(s)
| | | | | | - Xiao Jun Huang
- Department of Gastroenterology, Second Hospital of Lanzhou University, Lanzhou, China
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28
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Wang H, Ma J, Li X, Peng Y, Wang M. FDA compound library screening Baicalin upregulates TREM2 for the treatment of cerebral ischemia-reperfusion injury. Eur J Pharmacol 2024; 969:176427. [PMID: 38428662 DOI: 10.1016/j.ejphar.2024.176427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 03/03/2024]
Abstract
Acute ischemic stroke (AIS) is a leading cause of global incidence and mortality rates. Oxidative stress and inflammation are key factors in the pathogenesis of AIS neuroinjury. Therefore, it is necessary to develop drugs that target neuroinflammation and oxidative stress in AIS. The Triggering Receptor Expressed on Myeloid Cells 2 (TREM2), primarily expressed on microglial cell membranes, plays a critical role in reducing inflammation and oxidative stress in AIS. In this study, we employed a high-throughput screening (HTS) strategy to evaluate 2625 compounds from the (Food and Drug Administration) FDA library in vitro to identify compounds that upregulate the TREM2 receptor on microglia. Through this screening, we identified Baicalin as a potential drug for AIS treatment. Baicalin, a flavonoid compound extracted and isolated from the root of Scutellaria baicalensis, demonstrated promising results. Next, we established an in vivo mouse model of cerebral ischemia-reperfusion injury (MCAO/R) and an in vitro microglia cell of oxygen-glucose deprivation reperfusion (OGD/R) to investigate the role of Baicalin in inflammation injury, oxidative stress, and neuronal apoptosis. Our results showed that baicalin effectively inhibited microglia activation, reactive oxygen species (ROS) production, and inflammatory responses in vitro. Additionally, baicalin suppressed neuronal cell apoptosis. In the in vivo experiments, baicalin not only improved neurological functional deficits and reduced infarct volume but also inhibited microglia activation and inflammatory responses. Overall, our findings demonstrate the efficacy of Baicalin in treating MCAO/R by upregulating TREM2 to reduce inflammatory responses and inhibit neuronal apoptosis.
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Affiliation(s)
- Hongxia Wang
- Department of Neurology, Lanzhou University Second Hospital, Cuiying Biomedical Research Center of Lanzhou University Second Hospital, Lanzhou, 730030, China
| | - Jialiang Ma
- Department of Neurology, Lanzhou University Second Hospital, Cuiying Biomedical Research Center of Lanzhou University Second Hospital, Lanzhou, 730030, China
| | - Xiaoling Li
- Department of Neurology, Lanzhou University Second Hospital, Cuiying Biomedical Research Center of Lanzhou University Second Hospital, Lanzhou, 730030, China
| | - Yanhui Peng
- Department of Neurology, The Sixth Affiliated Hospital of Xinjiang Medical University, Ürümqi 830000, China
| | - Manxia Wang
- Department of Neurology, Lanzhou University Second Hospital, Cuiying Biomedical Research Center of Lanzhou University Second Hospital, Lanzhou, 730030, China.
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29
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Coulter EM, Bewicke-Copley F, Mossner M, Graham TA, Fitzgibbon J, Okosun J. Defining an Optimized Workflow for Enriching and Analyzing Residual Tumor Populations Using Intracellular Markers. J Mol Diagn 2024; 26:245-256. [PMID: 38280422 DOI: 10.1016/j.jmoldx.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 12/12/2023] [Accepted: 01/11/2024] [Indexed: 01/29/2024] Open
Abstract
Tumor relapse is well recognized to arise from treatment-resistant residual populations. Strategies enriching such populations for in-depth downstream analyses focus on tumor-specific surface markers; however, enrichment using intracellular biomarkers remains challenging. Using B-cell lymphoma as an exemplar, we demonstrate feasibility to enrich B-cell lymphoma 2 (BCL2)high populations, a surrogate marker for t(14;18)+ lymphomas, for use in downstream applications. Different fixation protocols were assessed for impact on antibody expression and RNA integrity; glyoxal fixation demonstrated superior results regarding minimal effects on surface and intracellular expression, and RNA quality, compared with alternative fixatives evaluated. Furthermore, t(14;18)+ B cells were effectively detected using intracellular BCL2 overexpression to facilitate tumor cell enrichment. Tumor cell populations were enriched using the cellenONE F1.4 single-cell sorting platform, which detected and dispensed BCL2high-expressing cells directly into library preparation reagents for transcriptome analyses. Sorted glyoxal-fixed cells generated good quality sequencing libraries, with high concordance between live and fixed single-cell transcriptomic profiles, discriminating cell populations predominantly on B-cell biology. Overall, we successfully developed a proof-of-concept workflow employing a robust cell preparation protocol for intracellular markers combined with cell enrichment using the cellenONE platform, providing an alternative to droplet-based technologies when cellular input is low or requires prior enrichment to detect rare populations. This workflow has wider prognostic and therapeutic potential to study residual cells in a pan-cancer setting.
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Affiliation(s)
- Eve M Coulter
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.
| | - Findlay Bewicke-Copley
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Maximilian Mossner
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom; Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom; Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Jude Fitzgibbon
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom; AstraZeneca, Waltham, Massachusetts
| | - Jessica Okosun
- Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.
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30
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Tian T, Lin S, Yang C. Beyond single cells: microfluidics empowering multiomics analysis. Anal Bioanal Chem 2024; 416:2203-2220. [PMID: 38008783 DOI: 10.1007/s00216-023-05028-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 10/26/2023] [Accepted: 10/30/2023] [Indexed: 11/28/2023]
Abstract
Single-cell multiomics technologies empower simultaneous measurement of multiple types of molecules within individual cells, providing a more profound comprehension compared with the analysis of discrete molecular layers from different cells. Microfluidic technology, on the other hand, has emerged as a pivotal facilitator for high-throughput single-cell analysis, offering precise control and manipulation of individual cells. The primary focus of this review encompasses an appraisal of cutting-edge microfluidic platforms employed in the realm of single-cell multiomics analysis. Furthermore, it discusses technological advancements in various single-cell omics such as genomics, transcriptomics, epigenomics, and proteomics, with their perspective applications. Finally, it provides future prospects of these integrated single-cell multiomics methodologies, shedding light on the possibilities for future biological research.
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Affiliation(s)
- Tian Tian
- Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, China
| | - Shichao Lin
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, Xiamen, 361005, China
| | - Chaoyong Yang
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province, Xiamen, 361005, China.
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China.
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31
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Pan X, Ni S, Hu K. Nanomedicines for reversing immunosuppressive microenvironment of hepatocellular carcinoma. Biomaterials 2024; 306:122481. [PMID: 38286109 DOI: 10.1016/j.biomaterials.2024.122481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 01/18/2024] [Accepted: 01/20/2024] [Indexed: 01/31/2024]
Abstract
Although immunotherapeutic strategies such as immune checkpoint inhibitors (ICIs) have gained promising advances, their limited efficacy and significant toxicity remain great challenges for hepatocellular carcinoma (HCC) immunotherapy. The tumor immunosuppressive microenvironment (TIME) with insufficient T-cell infiltration and low immunogenicity accounts for most HCC patients' poor response to ICIs. Worse still, the current immunotherapeutics without precise delivery may elicit enormous autoimmune side effects and systemic toxicity in the clinic. With a better understanding of the TIME in HCC, nanomedicines have emerged as an efficient strategy to achieve remodeling of the TIME and superadditive antitumor effects via targeted delivery of immunotherapeutics or multimodal synergistic therapy. Based on the typical characteristics of the TIME in HCC, this review summarizes the recent advancements in nanomedicine-based strategies for TIME-reversing HCC treatment. Additionally, perspectives on the awaiting challenges and opportunities of nanomedicines in modulating the TIME of HCC are presented. Acquisition of knowledge of nanomedicine-mediated TIME reversal will provide researchers with a better opportunity for clinical translation of HCC immunotherapy.
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Affiliation(s)
- Xier Pan
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China; Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Shuting Ni
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Kaili Hu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
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32
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Choi C, Jeong YL, Park KM, Kim M, Kim S, Jo H, Lee S, Kim H, Choi G, Choi YH, Seong JK, Namgoong S, Chung Y, Jung YS, Granneman JG, Hyun YM, Kim JK, Lee YH. TM4SF19-mediated control of lysosomal activity in macrophages contributes to obesity-induced inflammation and metabolic dysfunction. Nat Commun 2024; 15:2779. [PMID: 38555350 PMCID: PMC10981689 DOI: 10.1038/s41467-024-47108-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/20/2024] [Indexed: 04/02/2024] Open
Abstract
Adipose tissue (AT) adapts to overnutrition in a complex process, wherein specialized immune cells remove and replace dysfunctional and stressed adipocytes with new fat cells. Among immune cells recruited to AT, lipid-associated macrophages (LAMs) have emerged as key players in obesity and in diseases involving lipid stress and inflammation. Here, we show that LAMs selectively express transmembrane 4 L six family member 19 (TM4SF19), a lysosomal protein that represses acidification through its interaction with Vacuolar-ATPase. Inactivation of TM4SF19 elevates lysosomal acidification and accelerates the clearance of dying/dead adipocytes in vitro and in vivo. TM4SF19 deletion reduces the LAM accumulation and increases the proportion of restorative macrophages in AT of male mice fed a high-fat diet. Importantly, male mice lacking TM4SF19 adapt to high-fat feeding through adipocyte hyperplasia, rather than hypertrophy. This adaptation significantly improves local and systemic insulin sensitivity, and energy expenditure, offering a potential avenue to combat obesity-related metabolic dysfunction.
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Affiliation(s)
- Cheoljun Choi
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Yujin L Jeong
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
| | - Koung-Min Park
- Department of Anatomy and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Minji Kim
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Sangseob Kim
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Honghyun Jo
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Sumin Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Heeseong Kim
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Garam Choi
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Yoon Ha Choi
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
| | - Je Kyung Seong
- Korea Mouse Phenotyping Center (KMPC), and Laboratory of Developmental Biology and Genomics, College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea
| | - Sik Namgoong
- Department of Plastic Surgery, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yeonseok Chung
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Young-Suk Jung
- Department of Pharmacy, College of Pharmacy, Research Institute for Drug Development, Pusan National University, Busan, Republic of Korea.
| | - James G Granneman
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.
| | - Young-Min Hyun
- Department of Anatomy and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Jong Kyoung Kim
- Department of Life Sciences, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
| | - Yun-Hee Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Republic of Korea.
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Jiménez-Gracia L, Marchese D, Nieto JC, Caratù G, Melón-Ardanaz E, Gudiño V, Roth S, Wise K, Ryan NK, Jensen KB, Hernando-Momblona X, Bernardes JP, Tran F, Sievers LK, Schreiber S, van den Berge M, Kole T, van der Velde PL, Nawijn MC, Rosenstiel P, Batlle E, Butler LM, Parish IA, Plummer J, Gut I, Salas A, Heyn H, Martelotto LG. FixNCut: single-cell genomics through reversible tissue fixation and dissociation. Genome Biol 2024; 25:81. [PMID: 38553769 PMCID: PMC10979608 DOI: 10.1186/s13059-024-03219-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 03/18/2024] [Indexed: 04/02/2024] Open
Abstract
The use of single-cell technologies for clinical applications requires disconnecting sampling from downstream processing steps. Early sample preservation can further increase robustness and reproducibility by avoiding artifacts introduced during specimen handling. We present FixNCut, a methodology for the reversible fixation of tissue followed by dissociation that overcomes current limitations. We applied FixNCut to human and mouse tissues to demonstrate the preservation of RNA integrity, sequencing library complexity, and cellular composition, while diminishing stress-related artifacts. Besides single-cell RNA sequencing, FixNCut is compatible with multiple single-cell and spatial technologies, making it a versatile tool for robust and flexible study designs.
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Affiliation(s)
- Laura Jiménez-Gracia
- Centro Nacional de Análisis Genómico (CNAG), 08028, Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Domenica Marchese
- Centro Nacional de Análisis Genómico (CNAG), 08028, Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Juan C Nieto
- Centro Nacional de Análisis Genómico (CNAG), 08028, Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Ginevra Caratù
- Centro Nacional de Análisis Genómico (CNAG), 08028, Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Elisa Melón-Ardanaz
- Inflammatory Bowel Disease Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Victoria Gudiño
- Inflammatory Bowel Disease Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Sara Roth
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
- Monash University Department of Surgery, Alfred Hospital, Melbourne, VIC, Australia
| | - Kellie Wise
- Adelaide Centre for Epigenetics (ACE), University of Adelaide, Adelaide, South Australia, Australia
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, South Australia, Australia
- Australian Genomics Research Facility, Adelaide, South Australia, Australia
| | - Natalie K Ryan
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, South Australia, Australia
- Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Kirk B Jensen
- Adelaide Centre for Epigenetics (ACE), University of Adelaide, Adelaide, South Australia, Australia
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, South Australia, Australia
- Australian Genomics Research Facility, Adelaide, South Australia, Australia
| | - Xavier Hernando-Momblona
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
| | - Joana P Bernardes
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Florian Tran
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
- Department of Internal Medicine I, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany
| | - Laura Katharina Sievers
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
- Department of Internal Medicine I, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
- Department of Internal Medicine I, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany
| | - Maarten van den Berge
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Tessa Kole
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Petra L van der Velde
- Groningen Research Institute for Asthma and COPD, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Martijn C Nawijn
- Groningen Research Institute for Asthma and COPD, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Eduard Batlle
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain
- ICREA, Barcelona, Spain
| | - Lisa M Butler
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, South Australia, Australia
- Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Ian A Parish
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Jasmine Plummer
- St Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Ivo Gut
- Centro Nacional de Análisis Genómico (CNAG), 08028, Barcelona, Spain
- Universitat de Barcelona (UB), Barcelona, Spain
| | - Azucena Salas
- Inflammatory Bowel Disease Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Holger Heyn
- Centro Nacional de Análisis Genómico (CNAG), 08028, Barcelona, Spain.
- Universitat de Barcelona (UB), Barcelona, Spain.
- Omniscope, Barcelona, Spain.
| | - Luciano G Martelotto
- Adelaide Centre for Epigenetics (ACE), University of Adelaide, Adelaide, South Australia, Australia.
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, South Australia, Australia.
- Omniscope, Barcelona, Spain.
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Li L, Chen D, Chen X, Zhu J, Bao W, Li C, Miao F, Feng R. An androgen receptor-based signature to predict prognosis and identification of ORC1 as a therapeutical target for prostate adenocarcinoma. PeerJ 2024; 12:e16850. [PMID: 38562999 PMCID: PMC10984180 DOI: 10.7717/peerj.16850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 01/08/2024] [Indexed: 04/04/2024] Open
Abstract
Background Aberrant activation of androgen receptor (AR) signaling plays a crucial role in the progression of prostate adenocarcinoma (PRAD) and contributes significantly to the development of enzalutamide resistance. In this study, we aimed to identify a novel AR-driven signature that can predict prognosis and endows potentially reveal novel therapeutic targets for PRAD. Methods The Seurat package was used to preprocess the single-cell RNA sequencing (scRNA-seq). Differentially expressed genes were visualized using limma and pheamap packages. LASSO and multi-variate Cox regression models were established using glmnet package. The package "Consensus Cluster Plus" was utilized to perform the consensus clustering analysis. The biological roles of origin recognition complex subunit 1 (ORC1) in PRAD were determined by gain- and loss-of-function studies in vitro and in vivo. Result We characterized the scRNA-seq data from GSE99795 and identified 10 AR-associated genes (ARGs). The ARGs model was trained and validated in internal and external cohorts. The ARGs were identified as an independent hazard factor in PRAD and correlated with clinical risk characteristics. In addition, the ARGs were found to be correlated with somatic tumor mutation burden (TMB) levels. Two groups that have distinct prognostic and molecular features were identified through consensus clustering analysis. ORC1 was identified as a critical target among these ARGs, and it ORC1 promoted proliferation and stem-like properties of PRAD cells. Chromatin immunoprecipitation (ChIP)-qPCR assay confirmed that AR could directly bind the promoter of ORC1. Activated AR/ORC1 axis contributed to enzalutamide resistance, and targeting ORC1 rendered PRAD cells more susceptible to enzalutamide. Conclusions This study defines an AR-driven signature that AR activates ORC1 expressions to promote PRAD progression and enzalutamide resistance, which may provide novel targets for PRAD treatment.
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Affiliation(s)
- Linjin Li
- Department of Urology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, WenZhou, Zhejiang, China
| | - Dake Chen
- Department of Urology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, WenZhou, Zhejiang, China
| | - Xiang Chen
- Department of Urology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, WenZhou, Zhejiang, China
| | - Jianlong Zhu
- Department of Urology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, WenZhou, Zhejiang, China
| | - Wenshuo Bao
- Department of Urology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, WenZhou, Zhejiang, China
| | - Chengpeng Li
- Department of Urology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, WenZhou, Zhejiang, China
| | - Feilong Miao
- Department of Urology, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated Hospital of Shanghai University, Wenzhou People’s Hospital, WenZhou, Zhejiang, China
| | - Rui Feng
- Zhenjiang Hospital of Chinese Traditional and Western Medicine, Zhenjiang, Jiangsu, China
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Li X, Xu L, Demaree B, Noecker C, Bisanz JE, Weisgerber DW, Modavi C, Turnbaugh PJ, Abate AR. Microbiome single cell atlases generated with a commercial instrument. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.08.08.551713. [PMID: 37609281 PMCID: PMC10441329 DOI: 10.1101/2023.08.08.551713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, we present EASi-seq (Easily Accessible Single microbe sequencing). By adapting the single cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbes' genomes. EASi-seq allows thousands of microbes to be sequenced per run and, as we show, can generate detailed atlases of human and environmental microbiomes. The ability to capture large shotgun genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, we develop a companion bioinformatic pipeline that clusters microbes by similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, we demonstrate integration of metagenomic contigs with the EASi-seq datasets to reduce capture bias and increase coverage. Overall, EASi-seq enables high quality single cell genomic data for microbiome samples using an accessible workflow that can be run on a commercially available platform.
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36
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Kashima Y, Reteng P, Haga Y, Yamagishi J, Suzuki Y. Single-cell analytical technologies: uncovering the mechanisms behind variations in immune responses. FEBS J 2024; 291:819-831. [PMID: 36082537 DOI: 10.1111/febs.16622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/25/2022] [Accepted: 09/08/2022] [Indexed: 11/30/2022]
Abstract
The immune landscape varies among individuals. It determines the immune response and results in surprisingly diverse symptoms, even in response to similar external stimuli. However, the detailed mechanisms underlying such diverse immune responses have remained mostly elusive. The utilization of recently developed single-cell multimodal analysis platforms has started to answer this question. Emerging studies have elucidated several molecular networks that may explain diversity with respect to age or other factors. An elaborate interplay between inherent physical conditions and environmental conditions has been demonstrated. Furthermore, the importance of modifications by the epigenome resulting in transcriptome variation among individuals is gradually being revealed. Accordingly, epigenomes and transcriptomes are direct indicators of the medical history and dynamic interactions with environmental factors. Coronavirus disease 2019 (COVID-19) has recently become one of the most remarkable examples of the necessity of in-depth analyses of diverse responses with respect to various factors to improve treatment in severe cases and to prevent viral transmission from asymptomatic carriers. In fact, determining why some patients develop serious symptoms is still a pressing issue. Here, we review the current "state of the art" in single-cell analytical technologies and their broad applications to healthy individuals and representative diseases, including COVID-19.
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Affiliation(s)
- Yukie Kashima
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Patrick Reteng
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Yasuhiko Haga
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Junya Yamagishi
- Division of Collaboration and Education, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
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37
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Miyake K, Ito J, Takahashi K, Nakabayashi J, Brombacher F, Shichino S, Yoshikawa S, Miyake S, Karasuyama H. Single-cell transcriptomics identifies the differentiation trajectory from inflammatory monocytes to pro-resolving macrophages in a mouse skin allergy model. Nat Commun 2024; 15:1666. [PMID: 38396021 PMCID: PMC10891131 DOI: 10.1038/s41467-024-46148-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
Both monocytes and macrophages are heterogeneous populations. It was traditionally understood that Ly6Chi classical (inflammatory) monocytes differentiate into pro-inflammatory Ly6Chi macrophages. Accumulating evidence has suggested that Ly6Chi classical monocytes can also differentiate into Ly6Clo pro-resolving macrophages under certain conditions, while their differentiation trajectory remains to be fully elucidated. The present study with scRNA-seq and flow cytometric analyses reveals that Ly6ChiPD-L2lo classical monocytes recruited to the allergic skin lesion sequentially differentiate into Ly6CloPD-L2hi pro-resolving macrophages, via intermediate Ly6ChiPD-L2hi macrophages but not Ly6Clo non-classical monocytes, in an IL-4 receptor-dependent manner. Along the differentiation, classical monocyte-derived macrophages display anti-inflammatory signatures followed by metabolic rewiring concordant with their ability to phagocytose apoptotic neutrophils and allergens, therefore contributing to the resolution of inflammation. The failure in the generation of these pro-resolving macrophages drives the IL-1α-mediated cycle of inflammation with abscess-like accumulation of necrotic neutrophils. Thus, we clarify the stepwise differentiation trajectory from Ly6Chi classical monocytes toward Ly6Clo pro-resolving macrophages that restrain neutrophilic aggravation of skin allergic inflammation.
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Affiliation(s)
- Kensuke Miyake
- Inflammation, Infection and Immunity Laboratory, Advanced Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.
| | - Junya Ito
- Inflammation, Infection and Immunity Laboratory, Advanced Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
| | - Kazufusa Takahashi
- Inflammation, Infection and Immunity Laboratory, Advanced Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
| | - Jun Nakabayashi
- College of Liberal Arts and Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
| | - Frank Brombacher
- Institute of Infectious Disease and Molecular Medicine, International Center for Genetic and Biotechnology Cape Town Component & University of Cape Town, Cape Town, South Africa
| | - Shigeyuki Shichino
- Division of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute of Biomedical Sciences, Tokyo University of Science, Noda, Japan
| | - Soichiro Yoshikawa
- Department of Immunology, Juntendo University School of Medicine, Tokyo, Japan
| | - Sachiko Miyake
- Department of Immunology, Juntendo University School of Medicine, Tokyo, Japan
| | - Hajime Karasuyama
- Inflammation, Infection and Immunity Laboratory, Advanced Research Institute, Tokyo Medical and Dental University (TMDU), Tokyo, Japan
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Jin S, Guo Y, Wang X. Development of Platinum Complexes for Tumor Chemoimmunotherapy. Chemistry 2024; 30:e202302948. [PMID: 38171804 DOI: 10.1002/chem.202302948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Indexed: 01/05/2024]
Abstract
Platinum complexes are potential antitumor drugs in chemotherapy. Their impact on tumor treatment could be greatly strengthened by combining with immunotherapy. Increasing evidences indicate that the antitumor activity of platinum complexes is not limited to chemical killing effects, but also extends to immunomodulatory actions. This review introduced the general concept of chemoimmunotherapy and summarized the progress of platinum complexes as chemoimmunotherapeutic agents in recent years. Platinum complexes could be developed into inducers of immunogenic cell death, blockers of immune checkpoint, regulators of immune signaling pathway, and modulators of tumor immune microenvironment, etc. The synergy between chemotherapeutic and immunomodulatory effects reinforces the antitumor activity of platinum complexes, and helps them circumvent the drug resistance and systemic toxicity. The exploration of platinum complexes for chemoimmunotherapy may create new opportunities to revive the discovery of metal anticancer drugs.
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Affiliation(s)
- Suxing Jin
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, P. R. China
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, P. R. China
| | - Yan Guo
- School of Materials and Chemical Engineering, Henan University of Urban Construction, Pingdingshan, 467036, Henan, P. R. China
| | - Xiaoyong Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, 210023, P. R. China
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Yang W, Liu S, Mao M, Gong Y, Li X, Lei T, Liu C, Wu S, Hu Q. T-cell infiltration and its regulatory mechanisms in cancers: insights at single-cell resolution. J Exp Clin Cancer Res 2024; 43:38. [PMID: 38303018 PMCID: PMC10835979 DOI: 10.1186/s13046-024-02960-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/19/2024] [Indexed: 02/03/2024] Open
Abstract
Tumor-infiltrating T cells recognize, attack, and clear tumor cells, playing a central role in antitumor immune response. However, certain immune cells can impair this response and help tumor immune escape. Therefore, exploring the factors that influence T-cell infiltration is crucial to understand tumor immunity and improve therapeutic effect of cancer immunotherapy. The use of single-cell RNA sequencing (scRNA-seq) allows the high-resolution analysis of the precise composition of immune cells with different phenotypes and other microenvironmental factors, including non-immune stromal cells and the related molecules in the tumor microenvironment of various cancer types. In this review, we summarized the research progress on T-cell infiltration and the crosstalk of other stromal cells and cytokines during T-cell infiltration using scRNA-seq to provide insights into the mechanisms regulating T-cell infiltration and contribute new perspectives on tumor immunotherapy.
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Affiliation(s)
- Wenhui Yang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Shimao Liu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Mengyun Mao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yandong Gong
- State Key Laboratory of Experimental Hematology, Senior Department of Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, 100071, China
| | - Xiaohui Li
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China
| | - Tianyu Lei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Chao Liu
- Department of Radiation Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Shikai Wu
- Department of Medical Oncology, Peking University First Hospital, Beijing, 100034, China.
| | - Qinyong Hu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
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Jiang G, Hong J, Sun L, Wei H, Gong W, Wang S, Zhu J. Glycolysis regulation in tumor-associated macrophages: Its role in tumor development and cancer treatment. Int J Cancer 2024; 154:412-424. [PMID: 37688376 DOI: 10.1002/ijc.34711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/27/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023]
Abstract
Tumor-associated macrophages constitute the main cell population in the tumor microenvironment and play a crucial role in regulating the microenvironment composition. Emerging evidence has revealed that the metabolic profile determines the tumor-associated macrophage phenotype. Tumor-associated macrophage function is highly dependent on glucose metabolism, with glycolysis being the major metabolic pathway. Recent reports have demonstrated diversity in glucose flux of tumor-associated macrophages and complex substance communication with cancer cells. However, how the glucose flux in tumor-associated macrophages connects with glycolysis to influence tumor progression and the tumor microenvironment is still obscure. Moreover, while the development of single-cell sequencing technology allows a clearer and more accurate classification of tumor-associated macrophages, the metabolic profiles of tumor-associated macrophages from the perspective of single-cell omics has not been well summarized. Here, we review the current state of knowledge on glucose metabolism in tumor-associated macrophages and summarize the metabolic profiles of different tumor-associated macrophage subtypes from the perspective of single-cell omics. Additionally, we describe the current strategies targeting glycolysis in tumor-associated macrophages for cancer therapy.
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Affiliation(s)
- Guangyi Jiang
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Junjie Hong
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Lu Sun
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Haibin Wei
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Wangang Gong
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
| | - Shu Wang
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Jianqing Zhu
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Zhejiang, Hangzhou, China
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41
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Wang X, Wu X, Hong N, Jin W. Progress in single-cell multimodal sequencing and multi-omics data integration. Biophys Rev 2024; 16:13-28. [PMID: 38495443 PMCID: PMC10937857 DOI: 10.1007/s12551-023-01092-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 06/27/2023] [Indexed: 03/19/2024] Open
Abstract
With the rapid advance of single-cell sequencing technology, cell heterogeneity in various biological processes was dissected at different omics levels. However, single-cell mono-omics results in fragmentation of information and could not provide complete cell states. In the past several years, a variety of single-cell multimodal omics technologies have been developed to jointly profile multiple molecular modalities, including genome, transcriptome, epigenome, and proteome, from the same single cell. With the availability of single-cell multimodal omics data, we can simultaneously investigate the effects of genomic mutation or epigenetic modification on transcription and translation, and reveal the potential mechanisms underlying disease pathogenesis. Driven by the massive single-cell omics data, the integration method of single-cell multi-omics data has rapidly developed. Integration of the massive multi-omics single-cell data in public databases in the future will make it possible to construct a cell atlas of multi-omics, enabling us to comprehensively understand cell state and gene regulation at single-cell resolution. In this review, we summarized the experimental methods for single-cell multimodal omics data and computational methods for multi-omics data integration. We also discussed the future development of this field.
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Affiliation(s)
- Xuefei Wang
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Xinchao Wu
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Ni Hong
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Wenfei Jin
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
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Morris JA, Sun JS, Sanjana NE. Next-generation forward genetic screens: uniting high-throughput perturbations with single-cell analysis. Trends Genet 2024; 40:118-133. [PMID: 37989654 PMCID: PMC10872607 DOI: 10.1016/j.tig.2023.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/22/2023] [Accepted: 10/23/2023] [Indexed: 11/23/2023]
Abstract
Programmable genome-engineering technologies, such as CRISPR (clustered regularly interspaced short palindromic repeats) nucleases and massively parallel CRISPR screens that capitalize on this programmability, have transformed biomedical science. These screens connect genes and noncoding genome elements to disease-relevant phenotypes, but until recently have been limited to individual phenotypes such as growth or fluorescent reporters of gene expression. By pairing massively parallel screens with high-dimensional profiling of single-cell types/states, we can now measure how individual genetic perturbations or combinations of perturbations impact the cellular transcriptome, proteome, and epigenome. We review technologies that pair CRISPR screens with single-cell multiomics and the unique opportunities afforded by extending pooled screens using deep multimodal phenotyping.
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Affiliation(s)
- John A Morris
- New York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA
| | - Jennifer S Sun
- New York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA
| | - Neville E Sanjana
- New York Genome Center, New York, NY 10013, USA; Department of Biology, New York University, New York, NY 10003, USA.
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Sun R, Lei C, Xu Z, Gu X, Huang L, Chen L, Tan Y, Peng M, Yaddanapudi K, Siskind L, Kong M, Mitchell R, Yan J, Deng Z. Neutral ceramidase regulates breast cancer progression by metabolic programming of TREM2-associated macrophages. Nat Commun 2024; 15:966. [PMID: 38302493 PMCID: PMC10834982 DOI: 10.1038/s41467-024-45084-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 01/15/2024] [Indexed: 02/03/2024] Open
Abstract
The tumor microenvironment is reprogrammed by cancer cells and participates in all stages of tumor progression. Neutral ceramidase is a key regulator of ceramide, the central intermediate in sphingolipid metabolism. The contribution of neutral ceramidase to the reprogramming of the tumor microenvironment is not well understood. Here, we find that deletion of neutral ceramidase in multiple breast cancer models in female mice accelerates tumor growth. Our result show that Ly6C+CD39+ tumor-infiltrating CD8 T cells are enriched in the tumor microenvironment and display an exhausted phenotype. Deletion of myeloid neutral ceramidase in vivo and in vitro induces exhaustion in tumor-infiltrating Ly6C+CD39+CD8+ T cells. Mechanistically, myeloid neutral ceramidase is required for the generation of lipid droplets and for the induction of lipolysis, which generate fatty acids for fatty-acid oxidation and orchestrate macrophage metabolism. Metabolite ceramide leads to reprogramming of macrophages toward immune suppressive TREM2+ tumor associated macrophages, which promote CD8 T cells exhaustion.
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Affiliation(s)
- Rui Sun
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, P. R. China
| | - Chao Lei
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
| | - Zhishan Xu
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
| | - Xuemei Gu
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
| | - Liu Huang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, P.R. China
| | - Liang Chen
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
| | - Yi Tan
- Department of Pediatrics and Pediatric Research Institute, University of Louisville, Louisville, KY, USA
| | - Min Peng
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, P. R. China
| | - Kavitha Yaddanapudi
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
| | - Leah Siskind
- Department of Pharmacology & Toxicology, University of Louisville, Louisville, KY, 40202, USA
| | - Maiying Kong
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
- Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA
| | - Robert Mitchell
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
| | - Jun Yan
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA
| | - Zhongbin Deng
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA.
- Brown Cancer Center, University of Louisville, Louisville, KY, KY40202, USA.
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Lasser SA, Ozbay Kurt FG, Arkhypov I, Utikal J, Umansky V. Myeloid-derived suppressor cells in cancer and cancer therapy. Nat Rev Clin Oncol 2024; 21:147-164. [PMID: 38191922 DOI: 10.1038/s41571-023-00846-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2023] [Indexed: 01/10/2024]
Abstract
Anticancer agents continue to dominate the list of newly approved drugs, approximately half of which are immunotherapies. This trend illustrates the considerable promise of cancer treatments that modulate the immune system. However, the immune system is complex and dynamic, and can have both tumour-suppressive and tumour-promoting effects. Understanding the full range of immune modulation in cancer is crucial to identifying more effective treatment strategies. Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population of myeloid cells that develop in association with chronic inflammation, which is a hallmark of cancer. Indeed, MDSCs accumulate in the tumour microenvironment, where they strongly inhibit anticancer functions of T cells and natural killer cells and exert a variety of other tumour-promoting effects. Emerging evidence indicates that MDSCs also contribute to resistance to cancer treatments, particularly immunotherapies. Conversely, treatment approaches designed to eliminate cancer cells can have important additional effects on MDSC function, which can be either positive or negative. In this Review, we discuss the interplay between MDSCs and various other cell types found in tumours as well as the mechanisms by which MDSCs promote tumour progression. We also discuss the relevance and implications of MDSCs for cancer therapy.
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Affiliation(s)
- Samantha A Lasser
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
- Skin Cancer Unit, German Cancer Research Center (Deutsches Krebsforschungszentrum (DKFZ)), Heidelberg, Germany
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany
| | - Feyza G Ozbay Kurt
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
- Skin Cancer Unit, German Cancer Research Center (Deutsches Krebsforschungszentrum (DKFZ)), Heidelberg, Germany
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany
| | - Ihor Arkhypov
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
- Skin Cancer Unit, German Cancer Research Center (Deutsches Krebsforschungszentrum (DKFZ)), Heidelberg, Germany
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany
| | - Jochen Utikal
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
- Skin Cancer Unit, German Cancer Research Center (Deutsches Krebsforschungszentrum (DKFZ)), Heidelberg, Germany
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany
| | - Viktor Umansky
- Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.
- Skin Cancer Unit, German Cancer Research Center (Deutsches Krebsforschungszentrum (DKFZ)), Heidelberg, Germany.
- DKFZ-Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany.
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Bi S, Jing Y, Cui X, Gong Y, Zhang J, Feng X, Shi Z, Zheng Q, Li D. A novel polysaccharide isolated from Coriolus versicolor polarizes M2 macrophages into an M1 phenotype and reversesits immunosuppressive effect on tumor microenvironment. Int J Biol Macromol 2024; 259:129352. [PMID: 38218293 DOI: 10.1016/j.ijbiomac.2024.129352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 12/18/2023] [Accepted: 01/07/2024] [Indexed: 01/15/2024]
Abstract
Converting M2 macrophages into an M1 phenotype in the tumor microenvironment, provides a new direction for tumor treatment. Here, we further report CVPW-1, a new polysaccharide of 1.03 × 106 Da that was isolated from Coriolus versicolor. Its monosaccharide was composed of mannose, glucose, and galactose at a ratio of 1.00:8.73:1.68. The backbone of CVPW-1 was composed of (1 → 3)-linked α-D-Glcp residues and (1 → 3,6)-linked α-D-Glcp residues that branched at O-6. The branch consisted of (1 → 6)-linked α-D-Glcp residues and (1 → 4)-linked α-D-Glap, and some branches were terminated with (1→)-linked β-D-Manp residues according to the results of HPLC, FT-IR, GC-MS, 1D and 2D NMR. Meanwhile, CVPW-1 could polarize M2 macrophages to M1 phenotypein vitro by binding to TLR4 and inducing the activation of Akt, JNK and NF-κB. This process involved reversing the functional inhibition of CD8+ T lymphocytes by inhibiting the expression of TREM2 in M2 macrophages. The in vivo experiments showed that oral administration of CVPW-1 could inhibit the growth of tumor in mice and polarize TAMs to M1 phenotype. Thus, the novel polysaccharide CVPW-1 from Coriolus versicolor might activate a variety of immune cells and then play an anti-tumor role. These results demonstrated that CVPW-1 could be developed as a potential immuno-oncology treatment reagent.
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Affiliation(s)
- Sixue Bi
- Featured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai 264003, Shandong, PR China
| | - Yongshuai Jing
- College of Chemistry and Pharmaceutical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, Hebei, PR China
| | - Xuehui Cui
- Featured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai 264003, Shandong, PR China
| | - Yitong Gong
- School of Basic Medical Sciences, Binzhou Medical University, Yantai 264003, Shandong, PR China
| | - Junli Zhang
- Yantai Affiliated Hospital of Binzhou Medical University, The Second Clinical Medical College of Binzhou Medical University, Yantai 264100, Shandong, PR China
| | - Xiaofei Feng
- Yantai Affiliated Hospital of Binzhou Medical University, The Second Clinical Medical College of Binzhou Medical University, Yantai 264100, Shandong, PR China
| | - Zhen Shi
- School of Basic Medical Sciences, Binzhou Medical University, Yantai 264003, Shandong, PR China
| | - Qiusheng Zheng
- Featured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai 264003, Shandong, PR China
| | - Defang Li
- Featured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai 264003, Shandong, PR China.
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Elfstrum AK, Bapat AS, Schwertfeger KL. Defining and targeting macrophage heterogeneity in the mammary gland and breast cancer. Cancer Med 2024; 13:e7053. [PMID: 38426622 PMCID: PMC10905685 DOI: 10.1002/cam4.7053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/09/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024] Open
Abstract
INTRODUCTION Macrophages are innate immune cells that are associated with extensive phenotypic and functional plasticity and contribute to normal development, tissue homeostasis, and diseases such as cancer. In this review, we discuss the heterogeneity of tissue resident macrophages in the normal mammary gland and tumor-associated macrophages in breast cancer. Tissue resident macrophages are required for mammary gland development, where they have been implicated in promoting extracellular matrix remodeling, apoptotic clearance, and cellular crosstalk. In the context of cancer, tumor-associated macrophages are key drivers of growth and metastasis via their ability to promote matrix remodeling, angiogenesis, lymphangiogenesis, and immunosuppression. METHOD We identified and summarized studies in Pubmed that describe the phenotypic and functional heterogeneity of macrophages and the implications of targeting individual subsets, specifically in the context of mammary gland development and breast cancer. We also identified and summarized recent studies using single-cell RNA sequencing to identify and describe macrophage subsets in human breast cancer samples. RESULTS Advances in single-cell RNA sequencing technologies have yielded nuances in macrophage heterogeneity, with numerous macrophage subsets identified in both the normal mammary gland and breast cancer tissue. Macrophage subsets contribute to mammary gland development and breast cancer progression in differing ways, and emerging studies highlight a role for spatial localization in modulating their phenotype and function. CONCLUSION Understanding macrophage heterogeneity and the unique functions of each subset in both normal mammary gland development and breast cancer progression may lead to more promising targets for the treatment of breast cancer.
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Affiliation(s)
- Alexis K. Elfstrum
- Microbiology, Immunology, and Cancer Biology Graduate ProgramUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Aditi S. Bapat
- Molecular Pharmacology and Therapeutics Graduate ProgramUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Kathryn L. Schwertfeger
- Department of Laboratory Medicine and PathologyUniversity of MinnesotaMinneapolisMinnesotaUSA
- Masonic Cancer CenterUniversity of MinnesotaMinneapolisMinnesotaUSA
- Center for ImmunologyUniversity of MinnesotaMinneapolisMinnesotaUSA
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Li M, Lu M, Li J, Gui Q, Xia Y, Lu C, Shu H. Single-cell data revealed CD14-type and FCGR3A-type macrophages and relevant prognostic factors for predicting immunotherapy and prognosis in stomach adenocarcinoma. PeerJ 2024; 12:e16776. [PMID: 38274323 PMCID: PMC10809984 DOI: 10.7717/peerj.16776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Background Stomach adenocarcinoma (STAD) exhibits profound tumor heterogeneity and represents a great therapeutic challenge. Single-cell sequencing technology is a powerful tool to identify characteristic cell types. Methods Single-cell sequencing data (scRNA-seq) GSE167297 and bulk RNA-seq data from TCGA, GTEx, GSE26901 and GSE15459 database were included in this study. By downscaling and annotating the cellular data in scRNA-seq, critical cell types in tumor progression were identified by AUCell score. Relevant gene modules were then identified by weighted gene co-expression network analysis (WGCNA). A prognostic scoring system was constructed by identifying prognostic factors in STAD by Least absolute shrinkage and selection operator (LASSO) COX model. The prognosis and model performance in the RiskScore groups were measured by Kaplan-Meier (K-M) curves and Receiver operating characteristic (ROC) curves. Nomogram was drawn based on RiskScore and prognosis-related clinical factors. In addition, we evaluated patient's feedback on immunotherapy in the RiskScore groups by TIMER, ESTIMATE and TIDE analysis. Finally, the expression levels of prognostic factors were verified in gastric cancer cell lines (MKN7 and MKN28) and human normal gastric mucosal epithelial cells (GES-1), and the effects of prognostic factors on the viability of gastric cancer cells were examined by the CCK8 assay and cell cycle. Results scRNA-seq analysis revealed that 11 cell types were identified, and macrophages exhibited relatively higher AUCell scores and specifically expressed CD14 and FCGR3A. High macrophage scores worsened the prognosis of STAD patients. We intersected the specifically expressed genes in macrophages subgroups (670) and macrophage module genes (2,360) obtained from WGCNA analysis. Among 86 common genes, seven prognostic factors (RGS2, GNAI2, ANXA5, MARCKS, CD36, NRP1 and PDE4A) were identified and composed a RiskScore model. Patients in low Risk group showed a better survival advantage. Nomogram also provided a favorable prediction for survival at 1, 3 and 5 years in STAD patients. Besides, we found positive feedback to immunotherapy in patients with low RiskScore. The expression tendency of the seven prognostic factors in MKN7 and MKN28 was consistent with that in the RNA-seq data in addition to comparison of protein expression levels in the public HPA (The Human Protein Atlas) database. Further functional exploration disclosed that MARCKS was an important prognostic factor in regulating cell viability in STAD. Conclusion This study preliminary uncovered a single cell atlas for STAD patients, and Macrophages relevant gene signature and nomogram displayed favorable immunotherapy and prognostic prediction ability. Collectively, our work provides a new insight into the molecular mechanisms and therapeutic approach for LUAD patients.
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Affiliation(s)
- Mengling Li
- Department of General Practice, Shangrao People’s Hospital, Shangrao, China
| | - Ming Lu
- Health Service Center, Shangrao Municipal Health Commission, Shangrao, China
| | - Jun Li
- Department of General Practice, Shangrao People’s Hospital, Shangrao, China
| | | | - Yibin Xia
- HaploX Genomics Center, Shangrao, China
| | - Chao Lu
- HaploX Genomics Center, Shangrao, China
| | - Hongchun Shu
- Digestive System Department, Shangrao People’s Hospital, Shangrao, China
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Kirschenbaum D, Xie K, Ingelfinger F, Katzenelenbogen Y, Abadie K, Look T, Sheban F, Phan TS, Li B, Zwicky P, Yofe I, David E, Mazuz K, Hou J, Chen Y, Shaim H, Shanley M, Becker S, Qian J, Colonna M, Ginhoux F, Rezvani K, Theis FJ, Yosef N, Weiss T, Weiner A, Amit I. Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma. Cell 2024; 187:149-165.e23. [PMID: 38134933 DOI: 10.1016/j.cell.2023.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/15/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023]
Abstract
Deciphering the cell-state transitions underlying immune adaptation across time is fundamental for advancing biology. Empirical in vivo genomic technologies that capture cellular dynamics are currently lacking. We present Zman-seq, a single-cell technology recording transcriptomic dynamics across time by introducing time stamps into circulating immune cells, tracking them in tissues for days. Applying Zman-seq resolved cell-state and molecular trajectories of the dysfunctional immune microenvironment in glioblastoma. Within 24 hours of tumor infiltration, cytotoxic natural killer cells transitioned to a dysfunctional program regulated by TGFB1 signaling. Infiltrating monocytes differentiated into immunosuppressive macrophages, characterized by the upregulation of suppressive myeloid checkpoints Trem2, Il18bp, and Arg1, over 36 to 48 hours. Treatment with an antagonistic anti-TREM2 antibody reshaped the tumor microenvironment by redirecting the monocyte trajectory toward pro-inflammatory macrophages. Zman-seq is a broadly applicable technology, enabling empirical measurements of differentiation trajectories, which can enhance the development of more efficacious immunotherapies.
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Affiliation(s)
- Daniel Kirschenbaum
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Ken Xie
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Florian Ingelfinger
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | | | - Kathleen Abadie
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Thomas Look
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Fadi Sheban
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Truong San Phan
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Baoguo Li
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Pascale Zwicky
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Ido Yofe
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Eyal David
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Kfir Mazuz
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Jinchao Hou
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Yun Chen
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Hila Shaim
- Department of Stem Cell Transplantation and Cellular Therapy, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mayra Shanley
- Department of Stem Cell Transplantation and Cellular Therapy, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Soeren Becker
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jiawen Qian
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Marco Colonna
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Florent Ginhoux
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore 138648, Singapore; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research, Singapore 138648, Singapore
| | - Katayoun Rezvani
- Department of Stem Cell Transplantation and Cellular Therapy, the University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nir Yosef
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Assaf Weiner
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Ido Amit
- Department of Systems Immunology, Weizmann Institute of Science, 7610001 Rehovot, Israel.
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Han Y, Huang C, Pan Y, Gu X. Single Cell Sequencing Technology and Its Application in Alzheimer's Disease. J Alzheimers Dis 2024; 97:1033-1050. [PMID: 38217599 DOI: 10.3233/jad-230861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2024]
Abstract
Alzheimer's disease (AD) involves degeneration of cells in the brain. Due to insidious onset and slow progression, AD is often not diagnosed until it gets progressed to a more severe stage. The diagnosis and treatment of AD has been a challenge. In recent years, high-throughput sequencing technologies have exhibited advantages in exploring the pathogenesis of diseases. However, the types of cells of the central nervous system are complex and traditional bulk sequencing cannot reflect their heterogeneity. Single-cell sequencing technology enables study at the individual cell level and has an irreplaceable advantage in the study of complex diseases. In recent years, this field has expanded rapidly and several types of single-cell sequencing technologies have emerged, including transcriptomics, epigenomics, genomics and proteomics. This review article provides an overview of these single-cell sequencing technologies and their application in AD.
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Affiliation(s)
- Yuru Han
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China
- School of Pharmacy, Shanghai University of Medicine & Health Sciences, Shanghai, China
- School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Congying Huang
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China
- School of Pharmacy, Shanghai University of Medicine & Health Sciences, Shanghai, China
- School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Yuhui Pan
- Center for Disease Control and Prevention of Harbin, Harbin, China
| | - Xuefeng Gu
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China
- School of Pharmacy, Shanghai University of Medicine & Health Sciences, Shanghai, China
- School of Health Sciences and Engineering, University of Shanghai for Science and Technology, Shanghai, China
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50
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Hu Y, Wang H, Liu Y. NETosis: Sculpting tumor metastasis and immunotherapy. Immunol Rev 2024; 321:263-279. [PMID: 37712361 DOI: 10.1111/imr.13277] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 09/16/2023]
Abstract
The process of neutrophil extracellular traps (NETs) formation, called NETosis, is a peculiar death modality of neutrophils, which was first observed as an immune response against bacterial infection. However, recent work has revealed the unique biology of NETosis in facilitating tumor metastatic process. Neutrophil extracellular traps released by the tumor microenvironment (TME) shield tumor cells from cytotoxic immunity, leading to impaired tumor clearance. Besides, tumor cells tapped by NETs enable to travel through vessels and subsequently seed distant organs. Targeted ablation of NETosis has been proven to be beneficial in potentiating the efficacy of cancer immunotherapy in the metastatic settings. This review outlines the impact of NETosis at almost all stages of tumor metastasis. Furthermore, understanding the multifaceted interplay between NETosis and the TME components is crucial for supporting the rational development of highly effective combination immunotherapeutic strategies with anti-NETosis for patients with metastatic disease.
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Affiliation(s)
- Yanyan Hu
- Department of Digestive Diseases 1, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Houhong Wang
- Department of General Surgery, The Affiliated Bozhou Hospital of Anhui Medical University, Bozhou, China
| | - Yang Liu
- Department of Gastric Surgery, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China
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