Single-Cell RNA Sequencing Analysis of the Heterogeneity in Gene Regulatory Networks in Colorectal Cancer

被引:4
|
作者
Wang, Rui-Qi [1 ]
Zhao, Wei [1 ]
Yang, Hai-Kui [1 ]
Dong, Jia-Mei [1 ]
Lin, Wei-Jie [1 ]
He, Fa-Zhong [1 ]
Cui, Min [1 ]
Zhou, Zhi-Ling [1 ]
机构
[1] Jinan Univ, Zhuhai Peoples Hosp, Zhuhai Hosp, Dept Pharm, Zhuhai, Peoples R China
关键词
colorectal cancer; single-cell RNA sequencing; consensus molecular subtypes; gene regulation networks; ERG; MOLECULAR SUBTYPES; COLON-CANCER; INVASION;
D O I
10.3389/fcell.2021.765578
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Colorectal cancer (CRC) manifests as gastrointestinal tumors with high intratumoral heterogeneity. Recent studies have demonstrated that CRC may consist of tumor cells with different consensus molecular subtypes (CMS). The advancements in single-cell RNA sequencing have facilitated the development of gene regulatory networks to decode key regulators for specific cell types. Herein, we comprehensively analyzed the CMS of CRC patients by using single-cell RNA-sequencing data. CMS for all malignant cells were assigned using CMScaller. Gene set variation analysis showed pathway activity differences consistent with those reported in previous studies. Cell-cell communication analysis confirmed that CMS1 was more closely related to immune cells, and that monocytes and macrophages play dominant roles in the CRC tumor microenvironment. On the basis of the constructed gene regulation networks (GRNs) for each subtype, we identified that the critical transcription factor ERG is universally activated and upregulated in all CMS in comparison with normal cells, and that it performed diverse roles by regulating the expression of different downstream genes. In summary, molecular subtyping of single-cell RNA-sequencing data for colorectal cancer could elucidate the heterogeneity in gene regulatory networks and identify critical regulators of CRC.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Integration of bulk RNA sequencing data and single-cell RNA sequencing analysis on the heterogeneity in patients with colorectal cancer
    Zhang, Jiawei
    Wu, Yangsheng
    Shen, Zhong
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2023, 23 (03)
  • [2] Integration of bulk RNA sequencing data and single-cell RNA sequencing analysis on the heterogeneity in patients with colorectal cancer
    Jiawei Zhang
    Yangsheng Wu
    Zhong Shen
    Functional & Integrative Genomics, 2023, 23
  • [3] Elucidating cancer stem cells heterogeneity in colorectal cancer by single-cell RNA sequencing
    Lin, Kangyu
    Shen, John Paul
    CANCER RESEARCH, 2022, 82 (12)
  • [4] Investigating the role of senescence biomarkers in colorectal cancer heterogeneity by bulk and single-cell RNA sequencing
    Ding, Chengsheng
    Xu, Ximo
    Zhang, Xian
    Zhang, Enkui
    Li, Shuchun
    Fan, Xiaodong
    Ma, Junjun
    Yang, Xiao
    Zang, Lu
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [5] Understanding the cellular and molecular heterogeneity in colorectal cancer through the use of single-cell RNA sequencing
    Chen, Yuemiao
    Huang, Jian
    Fan, Yufang
    Huang, Lifeng
    Cai, Xiaoping
    TRANSLATIONAL ONCOLOGY, 2025, 55
  • [6] Integrated analysis of single-cell RNA sequencing and bulk RNA data reveals gene regulatory networks and targets in dilated cardiomyopathy
    Zhang, Min
    Zhang, Xin
    Niu, Jiayin
    Hua, Cuncun
    Liu, Pengfei
    Zhong, Guangzhen
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [7] Analysis of infiltrating MC subsets in Colorectal Cancer by single-cell RNA-sequencing
    Putro, Erisa
    Carnevale, Alessia
    Marangio, Caterina
    Peruzzi, Giovanna
    Fionda, Cinzia
    Stabile, Helena
    Pietropaolo, Giuseppe
    Sciume, Giuseppe
    Gismondi, Angela
    Molfetta, Rosa
    Fulci, Valerio
    Paolini, Rossella
    EUROPEAN JOURNAL OF IMMUNOLOGY, 2024, 54 : 1102 - 1102
  • [8] Single-cell RNA sequencing analysis of T helper cell differentiation and heterogeneity
    Jarousek, Radim
    Mikulova, Antonia
    Dad'ova, Petra
    Taus, Petr
    Kurucova, Terezia
    Plevova, Karla
    Tichy, Boris
    Kubala, Lukas
    BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH, 2022, 1869 (10):
  • [9] Identification of EMT signaling cross-talk and gene regulatory networks by single-cell RNA sequencing
    Deshmukh, Abhijeet P.
    Vasaikar, Suhas V.
    Tomczak, Katarzyna
    Tripathi, Shubham
    den Hollander, Petra
    Arslan, Emre
    Chakraborty, Priyanka
    Soundararajan, Rama
    Jolly, Mohit Kumar
    Rai, Kunal
    Levine, Herbert
    Mani, Sendurai A.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2021, 118 (19)
  • [10] Identification of Colorectal Cancer Cell Stemness from Single-Cell RNA Sequencing
    Lin, Kangyu
    Chowdhury, Saikat
    Zeineddine, Mohammad A.
    Zeineddine, Fadl A.
    Hornstein, Nicholas J.
    Villarreal, Oscar E.
    Maru, Dipen M.
    Haymaker, Cara L.
    Vauthey, Jean-Nicolas
    Chang, George J.
    Bogatenkova, Elena
    Menter, David
    Kopetz, Scott
    Shen, John Paul
    MOLECULAR CANCER RESEARCH, 2024, 22 (04) : 337 - 346