Whole-organ analysis of TGF-β-mediated remodelling of the tumour microenvironment by tissue clearing.
Whole-organ analysis of TGF-β-mediated remodelling of the tumour microenvironment by tissue clearing.
复制标题
通过组织清除对 TGF-β 介导的肿瘤微环境重塑进行全器官分析。
DOI:
10.1038/s42003-021-01786-y
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发表时间:
2021-03-05
影响因子:
5.9
通讯作者:
Miyazono K
中科院分区:
文献类型:
--
作者:
Kubota SI;Takahashi K;Mano T;Matsumoto K;Katsumata T;Shi S;Tainaka K;Ueda HR;Ehata S;Miyazono K
Tissue clearing is one of the most powerful strategies for a comprehensive analysis of disease progression. Here, we established an integrated pipeline that combines tissue clearing, 3D imaging, and machine learning and applied to a mouse tumour model of experimental lung metastasis using human lung adenocarcinoma A549 cells. This pipeline provided the spatial information of the tumour microenvironment. We further explored the role of transforming growth factor-β (TGF-β) in cancer metastasis. TGF-β-stimulated cancer cells enhanced metastatic colonization of unstimulated-cancer cells in vivo when both cells were mixed. RNA-sequencing analysis showed that expression of the genes related to coagulation and inflammation were up-regulated in TGF-β-stimulated cancer cells. Further, whole-organ analysis revealed accumulation of platelets or macrophages with TGF-β-stimulated cancer cells, suggesting that TGF-β might promote remodelling of the tumour microenvironment, enhancing the colonization of cancer cells. Hence, our integrated pipeline for 3D profiling will help the understanding of the tumour microenvironment. Shimpei Kubota et al. describe a pipeline for quantitative whole-organ analysis that that combines tissue clearing, 3D imaging, and machine learning for analysis of the tumour microenvironment. The authors apply this in a mouse model of lung tumour and reveal the role of TGF-β in remodelling the cellular microenvironment favouring metastatic invasion.
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影响因子:
6.6
作者:
Katsura A;Tamura Y;Hokari S;Harada M;Morikawa M;Sakurai T;Takahashi K;Mizutani A;Nishida J;Yokoyama Y;Morishita Y;Murakami T;Ehata S;Miyazono K;Koinuma D
通讯作者:
Koinuma D
影响因子:
64.8
作者:
Fischer KR;Durrans A;Lee S;Sheng J;Li F;Wong ST;Choi H;El Rayes T;Ryu S;Troeger J;Schwabe RF;Vahdat LT;Altorki NK;Mittal V;Gao D
通讯作者:
Gao D
影响因子:
50.3
作者:
Labelle M;Begum S;Hynes RO
通讯作者:
Hynes RO
影响因子:
64.8
作者:
Mariathasan S;Turley SJ;Nickles D;Castiglioni A;Yuen K;Wang Y;Kadel EE III;Koeppen H;Astarita JL;Cubas R;Jhunjhunwala S;Banchereau R;Yang Y;Guan Y;Chalouni C;Ziai J;Şenbabaoğlu Y;Santoro S;Sheinson D;Hung J;Giltnane JM;Pierce AA;Mesh K;Lianoglou S;Riegler J;Carano RAD;Eriksson P;Höglund M;Somarriba L;Halligan DL;van der Heijden MS;Loriot Y;Rosenberg JE;Fong L;Mellman I;Chen DS;Green M;Derleth C;Fine GD;Hegde PS;Bourgon R;Powles T
通讯作者:
Powles T
影响因子:
16.6
作者:
Cuccarese MF;Dubach JM;Pfirschke C;Engblom C;Garris C;Miller MA;Pittet MJ;Weissleder R
通讯作者:
Weissleder R