Mapping the single-cell landscape of acral melanoma and analysis of the molecular regulatory network of the tumor microenvironments

被引:15
|
作者
He, Zan [1 ]
Xin, Zijuan [2 ,3 ,4 ,5 ]
Yang, Qiong [2 ,3 ,4 ,5 ]
Wang, Chen [2 ,3 ,4 ,5 ]
Li, Meng [2 ,3 ,4 ,5 ]
Rao, Wei [1 ]
Du, Zhimin [1 ]
Bai, Jia [1 ]
Guo, Zixuan [6 ]
Ruan, Xiuyan [2 ,3 ,4 ,5 ]
Zhang, Zhaojun [2 ,3 ,4 ,5 ]
Fang, Xiangdong [2 ,3 ,4 ,5 ]
Zhao, Hua [1 ]
机构
[1] Peoples Liberat Army, Dept Dermatol, Med Gen Hosp 1, Beijing, Peoples R China
[2] Chinese Acad Sci, Beijing Inst Genom, Beijing, Peoples R China
[3] Chinese Acad Sci, China Natl Ctr Bioinformat, Beijing, Peoples R China
[4] Univ Chinese Acad Sci, Beijing, Peoples R China
[5] Beijing Key Lab Genome & Precis Med Technol, Beijing, Peoples R China
[6] Peoples Liberat Army, Sr Dept Orthoped, Gen Hosp, Med Ctr 4, Beijing, Peoples R China
来源
ELIFE | 2022年 / 11卷
基金
中国国家自然科学基金;
关键词
acral melanoma; single-cell RNA sequencing; tumor microenvironment; Human; Skin; IMMUNE CELLS; CANCER; FIBROBLASTS; METASTASIS; HALLMARKS; CARCINOMA; EXCLUSION; BLOCKADE; SURVIVAL; BIOLOGY;
D O I
10.7554/eLife.78616
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Acral melanoma (AM) exhibits a high incidence in Asian patients with melanoma, and it is not well treated with immunotherapy. However, little attention has been paid to the characteristics of the immune microenvironment in AM. Therefore, in this study, we collected clinical samples from Chinese patients with AM and conducted single-cell RNA sequencing to analyze the heterogeneity of its tumor microenvironments (TMEs) and the molecular regulatory network. Our analysis revealed that genes, such as TWIST1, EREG, TNFRSF9, and CTGF could drive the deregulation of various TME components. The molecular interaction relationships between TME cells, such as MIF-CD44 and TNFSF9-TNFRSF9, might be an attractive target for developing novel immunotherapeutic agents.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] Single-cell tumor dormancy model of uveal melanoma
    Patrick T. Logan
    Bruno F. Fernandes
    Sebastian Di Cesare
    Jean-Claude A. Marshall
    Shawn C. Maloney
    Miguel N. Burnier
    Clinical & Experimental Metastasis, 2008, 25 : 509 - 516
  • [22] Single-cell immune profiling of antitumor infiltrating lymphocytes in primary acral lentiginous melanoma
    Minowa, Tomoyuki
    Murata, Kenji
    Hirohashi, Yoshihiko
    Uhara, Hisashi
    Torigoe, Toshihiko
    CANCER SCIENCE, 2024, 115 : 2073 - 2073
  • [23] RECONSTRUCTING BLOOD STEM CELL REGULATORY NETWORK MODELS FROM SINGLE-CELL MOLECULAR PROFILES
    Hamey, Fiona
    Nestorowa, Sonia
    Kinston, Sarah
    Kent, David
    Wilson, Nicola
    Gottgens, Berthold
    EXPERIMENTAL HEMATOLOGY, 2017, 53 : S47 - S47
  • [24] Reconstructing blood stem cell regulatory network models from single-cell molecular profiles
    Hamey, Fiona K.
    Nestorowa, Sonia
    Kinston, Sarah J.
    Kent, David G.
    Wilson, Nicola K.
    Gottgens, Berthold
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (23) : 5822 - 5829
  • [25] Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation
    Buenrostro, Jason D.
    Corces, M. Ryan
    Lareau, Caleb A.
    Wu, Beijing
    Schep, Alicia N.
    Aryee, Martin J.
    Majeti, Ravindra
    Chang, Howard Y.
    Greenleaf, William J.
    CELL, 2018, 173 (06) : 1535 - +
  • [26] Mapping the tumor microenvironment in clear cell renal carcinoma by single-cell transcriptome analysis
    Wang, Yuxiong
    Wang, Yishu
    Liu, Bin
    Gao, Xin
    Li, Yunkuo
    Li, Faping
    Zhou, Honglan
    FRONTIERS IN GENETICS, 2023, 14
  • [27] SCENIC: single-cell regulatory network inference and clustering
    Aibar, Sara
    Gonzalez-Blas, Carmen Bravo
    Moerman, Thomas
    Van Anh Huynh-Thu
    Imrichova, Hana
    Hulselmans, Gert
    Rambow, Florian
    Marine, Jean-Christophe
    Geurts, Pierre
    Aerts, Jan
    van den Oord, Joost
    Atak, Zeynep Kalender
    Wouters, Jasper
    Aerts, Stein
    NATURE METHODS, 2017, 14 (11) : 1083 - +
  • [28] Gene regulatory network inference in single-cell biology
    Akers, Kyle
    Murali, T. M.
    CURRENT OPINION IN SYSTEMS BIOLOGY, 2021, 26 : 87 - 97
  • [29] SCENIC: single-cell regulatory network inference and clustering
    Sara Aibar
    Carmen Bravo González-Blas
    Thomas Moerman
    Vân Anh Huynh-Thu
    Hana Imrichova
    Gert Hulselmans
    Florian Rambow
    Jean-Christophe Marine
    Pierre Geurts
    Jan Aerts
    Joost van den Oord
    Zeynep Kalender Atak
    Jasper Wouters
    Stein Aerts
    Nature Methods, 2017, 14 : 1083 - 1086
  • [30] Enabling comparative gene regulatory network analysis on single-cell data with SCORPION
    Osorio, Daniel
    Kuijjer, Marieke L.
    NATURE COMPUTATIONAL SCIENCE, 2024, 4 (03): : 167 - 168