Literature DB >> 35817516

An In Vivo Model of Human Macrophages in Metastatic Melanoma.

Valentin Voillet1,2, Trisha R Berger3, Kelly M McKenna3,4,5, Kelly G Paulson3, Wei Hong Tan3, Kimberly S Smythe3, Daniel S Hunter3, William J Valente4,5,6,7, Stephanie Weaver8, Jean S Campbell3,9, Teresa S Kim10, David R Byrd10, Jason H Bielas6,7,9, Robert H Pierce3, Aude G Chapuis3,11, Raphaël Gottardo1,12, Anthony Rongvaux13,14.   

Abstract

Despite recent therapeutic progress, advanced melanoma remains lethal for many patients. The composition of the immune tumor microenvironment (TME) has decisive impacts on therapy response and disease outcome, and high-dimensional analyses of patient samples reveal the heterogeneity of the immune TME. Macrophages infiltrate TMEs and generally associate with tumor progression, but the underlying mechanisms are incompletely understood. Because experimental systems are needed to elucidate the functional properties of these cells, we developed a humanized mouse model reconstituted with human immune cells and human melanoma. We used two strains of recipient mice, supporting or not supporting the development of human myeloid cells. We found that human myeloid cells favored metastatic spread of the primary tumor, thereby recapitulating the cancer-supportive role of macrophages. We next analyzed the transcriptome of human immune cells infiltrating tumors versus other tissues. This analysis identified a cluster of myeloid cells present in the TME, but not in other tissues, which do not correspond to canonical M2 cells. The transcriptome of these cells is characterized by high expression of glycolytic enzymes and multiple chemokines and by low expression of gene sets associated with inflammation and adaptive immunity. Compared with humanized mouse results, we found transcriptionally similar myeloid cells in patient-derived samples of melanoma and other cancer types. The humanized mouse model described here thus complements patient sample analyses, enabling further elucidation of fundamental principles in melanoma biology beyond M1/M2 macrophage polarization. The model can also support the development and evaluation of candidate antitumor therapies.
Copyright © 2022 by The American Association of Immunologists, Inc.

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Year:  2022        PMID: 35817516      PMCID: PMC9377377          DOI: 10.4049/jimmunol.2101109

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.426


  54 in total

1.  A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells.

Authors:  Sijin Cheng; Ziyi Li; Ranran Gao; Baocai Xing; Yunong Gao; Yu Yang; Shishang Qin; Lei Zhang; Hanqiang Ouyang; Peng Du; Liang Jiang; Bin Zhang; Yue Yang; Xiliang Wang; Xianwen Ren; Jin-Xin Bei; Xueda Hu; Zhaode Bu; Jiafu Ji; Zemin Zhang
Journal:  Cell       Date:  2021-02-04       Impact factor: 41.582

Review 2.  Macrophages: The Road Less Traveled, Changing Anticancer Therapy.

Authors:  Jennifer L Guerriero
Journal:  Trends Mol Med       Date:  2018-04-11       Impact factor: 11.951

Review 3.  Melanoma models for the next generation of therapies.

Authors:  E Elizabeth Patton; Kristen L Mueller; David J Adams; Niroshana Anandasabapathy; Andrew E Aplin; Corine Bertolotto; Marcus Bosenberg; Craig J Ceol; Christin E Burd; Ping Chi; Meenhard Herlyn; Sheri L Holmen; Florian A Karreth; Charles K Kaufman; Shaheen Khan; Sebastian Kobold; Eleonora Leucci; Carmit Levy; David B Lombard; Amanda W Lund; Kerrie L Marie; Jean-Christophe Marine; Richard Marais; Martin McMahon; Carla Daniela Robles-Espinoza; Ze'ev A Ronai; Yardena Samuels; Maria S Soengas; Jessie Villanueva; Ashani T Weeraratna; Richard M White; Iwei Yeh; Jiyue Zhu; Leonard I Zon; Marc S Hurlbert; Glenn Merlino
Journal:  Cancer Cell       Date:  2021-02-04       Impact factor: 31.743

4.  Broad CTL response is required to clear latent HIV-1 due to dominance of escape mutations.

Authors:  Kai Deng; Mihaela Pertea; Anthony Rongvaux; Leyao Wang; Christine M Durand; Gabriel Ghiaur; Jun Lai; Holly L McHugh; Haiping Hao; Hao Zhang; Joseph B Margolick; Cagan Gurer; Andrew J Murphy; David M Valenzuela; George D Yancopoulos; Steven G Deeks; Till Strowig; Priti Kumar; Janet D Siliciano; Steven L Salzberg; Richard A Flavell; Liang Shan; Robert F Siliciano
Journal:  Nature       Date:  2015-01-07       Impact factor: 49.962

5.  Molecular signatures of antibody responses derived from a systems biology study of five human vaccines.

Authors:  Shuzhao Li; Nadine Rouphael; Sai Duraisingham; Sandra Romero-Steiner; Scott Presnell; Carl Davis; Daniel S Schmidt; Scott E Johnson; Andrea Milton; Gowrisankar Rajam; Sudhir Kasturi; George M Carlone; Charlie Quinn; Damien Chaussabel; A Karolina Palucka; Mark J Mulligan; Rafi Ahmed; David S Stephens; Helder I Nakaya; Bali Pulendran
Journal:  Nat Immunol       Date:  2013-12-15       Impact factor: 25.606

6.  The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.

Authors:  Cole Trapnell; Davide Cacchiarelli; Jonna Grimsby; Prapti Pokharel; Shuqiang Li; Michael Morse; Niall J Lennon; Kenneth J Livak; Tarjei S Mikkelsen; John L Rinn
Journal:  Nat Biotechnol       Date:  2014-03-23       Impact factor: 54.908

7.  The single-cell transcriptional landscape of mammalian organogenesis.

Authors:  Junyue Cao; Malte Spielmann; Xiaojie Qiu; Xingfan Huang; Daniel M Ibrahim; Andrew J Hill; Fan Zhang; Stefan Mundlos; Lena Christiansen; Frank J Steemers; Cole Trapnell; Jay Shendure
Journal:  Nature       Date:  2019-02-20       Impact factor: 49.962

8.  Tissue-resident macrophage enhancer landscapes are shaped by the local microenvironment.

Authors:  Yonit Lavin; Deborah Winter; Ronnie Blecher-Gonen; Eyal David; Hadas Keren-Shaul; Miriam Merad; Steffen Jung; Ido Amit
Journal:  Cell       Date:  2014-12-04       Impact factor: 41.582

9.  Transcriptome-based network analysis reveals a spectrum model of human macrophage activation.

Authors:  Jia Xue; Susanne V Schmidt; Jil Sander; Astrid Draffehn; Wolfgang Krebs; Inga Quester; Dominic De Nardo; Trupti D Gohel; Martina Emde; Lisa Schmidleithner; Hariharasudan Ganesan; Andrea Nino-Castro; Michael R Mallmann; Larisa Labzin; Heidi Theis; Michael Kraut; Marc Beyer; Eicke Latz; Tom C Freeman; Thomas Ulas; Joachim L Schultze
Journal:  Immunity       Date:  2014-02-13       Impact factor: 31.745

10.  Reversed graph embedding resolves complex single-cell trajectories.

Authors:  Xiaojie Qiu; Qi Mao; Ying Tang; Li Wang; Raghav Chawla; Hannah A Pliner; Cole Trapnell
Journal:  Nat Methods       Date:  2017-08-21       Impact factor: 47.990

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