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

被引:6
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
来源
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY | 2021年 / 9卷
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.
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页数:9
相关论文
共 34 条
  • [1] The oncogene ERG: a key factor in prostate cancer
    Adamo, P.
    Ladomery, M. R.
    [J]. ONCOGENE, 2016, 35 (04) : 403 - 414
  • [2] Aibar S, 2017, NAT METHODS, V14, P1083, DOI [10.1038/NMETH.4463, 10.1038/nmeth.4463]
  • [3] Pan-cancer analysis of the extent and consequences of intratumor heterogeneity
    Andor, Noemi
    Graham, Trevor A.
    Jansen, Marnix
    Xia, Li C.
    Aktipis, C. Athena
    Petritsch, Claudia
    Ji, Hanlee P.
    Maley, Carlo C.
    [J]. NATURE MEDICINE, 2016, 22 (01) : 105 - +
  • [4] Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer
    Budinska, Eva
    Popovici, Vlad
    Tejpar, Sabine
    D'Ario, Giovanni
    Lapique, Nicolas
    Sikora, Katarzyna Otylia
    Di Narzo, Antonio Fabio
    Yan, Pu
    Hodgson, John Graeme
    Weinrich, Scott
    Bosman, Fred
    Roth, Arnaud
    Delorenzi, Mauro
    [J]. JOURNAL OF PATHOLOGY, 2013, 231 (01) : 63 - 76
  • [5] Chen BB, 2018, METHODS MOL BIOL, V1711, P243, DOI 10.1007/978-1-4939-7493-1_12
  • [6] Poor-prognosis colon cancer is defined by a molecularly distinct subtype and develops from serrated precursor lesions
    De Sousa E Melo, Felipe
    Wang, Xin
    Jansen, Marnix
    Fessler, Evelyn
    Trinh, Anne
    de Rooij, Laura P. M. H.
    de Jong, Joan H.
    de Boer, Onno J.
    van Leersum, Ronald
    Bijlsma, Maarten F.
    Rodermond, Hans
    van der Heijden, Maartje
    van Noesel, Carel J. M.
    Tuynman, Jurriaan B.
    Dekker, Evelien
    Markowetz, Florian
    Medema, Jan Paul
    Vermeulen, Louis
    [J]. NATURE MEDICINE, 2013, 19 (05) : 614 - 618
  • [7] CellPhoneDB: inferring cell-cell communication from combined expression of multi-subunit ligand-receptor complexes
    Efremova, Mirjana
    Vento-Tormo, Miquel
    Teichmann, Sarah A.
    Vento-Tormo, Roser
    [J]. NATURE PROTOCOLS, 2020, 15 (04) : 1484 - 1506
  • [8] CMScaller: an R package for consensus molecular subtyping of colorectal cancer pre-clinical models
    Eide, Peter W.
    Bruun, Jarle
    Lothe, Ragnhild A.
    Sveen, Anita
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [9] The consensus molecular subtypes of colorectal cancer
    Guinney, Justin
    Dienstmann, Rodrigo
    Wang, Xin
    de Reynies, Aurelien
    Schlicker, Andreas
    Soneson, Charlotte
    Marisa, Laetitia
    Roepman, Paul
    Nyamundanda, Gift
    Angelino, Paolo
    Bot, Brian M.
    Morris, Jeffrey S.
    Simon, Iris M.
    Gerster, Sarah
    Fessler, Evelyn
    Melo, Felipe De Sousa E.
    Missiaglia, Edoardo
    Ramay, Hena
    Barras, David
    Homicsko, Krisztian
    Maru, Dipen
    Manyam, Ganiraju C.
    Broom, Bradley
    Boige, Valerie
    Perez-Villamil, Beatriz
    Laderas, Ted
    Salazar, Ramon
    Gray, Joe W.
    Hanahan, Douglas
    Tabernero, Josep
    Bernards, Rene
    Friend, Stephen H.
    Laurent-Puig, Pierre
    Medema, Jan Paul
    Sadanandam, Anguraj
    Wessels, Lodewyk
    Delorenzi, Mauro
    Kopetz, Scott
    Vermeulen, Louis
    Tejpar, Sabine
    [J]. NATURE MEDICINE, 2015, 21 (11) : 1350 - 1356
  • [10] GSVA: gene set variation analysis for microarray and RNA-Seq data
    Haenzelmann, Sonja
    Castelo, Robert
    Guinney, Justin
    [J]. BMC BIOINFORMATICS, 2013, 14