• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

组织透明化的全器官分析方法研究 TGF-β 介导的肿瘤微环境重塑

Whole-organ analysis of TGF-β-mediated remodelling of the tumour microenvironment by tissue clearing.

机构信息

Department of Molecular Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Department of Systems Pharmacology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

出版信息

Commun Biol. 2021 Mar 5;4(1):294. doi: 10.1038/s42003-021-01786-y.

DOI:10.1038/s42003-021-01786-y
PMID:33674758
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7935961/
Abstract

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.

摘要

组织透明化是全面分析疾病进展最有效的策略之一。在这里,我们建立了一个集成的工作流程,结合组织透明化、3D 成像和机器学习,并应用于使用人肺腺癌细胞 A549 的实验性肺转移小鼠肿瘤模型。该工作流程提供了肿瘤微环境的空间信息。我们进一步探讨了转化生长因子-β(TGF-β)在癌症转移中的作用。当两种细胞混合时,TGF-β 刺激的癌细胞增强了未受刺激的癌细胞在体内的转移定植。RNA 测序分析显示,TGF-β 刺激的癌细胞中与凝血和炎症相关的基因表达上调。此外,整体器官分析显示,血小板或巨噬细胞在 TGF-β 刺激的癌细胞中积累,这表明 TGF-β 可能促进肿瘤微环境的重塑,增强癌细胞的定植。因此,我们的 3D 分析集成工作流程将有助于理解肿瘤微环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/8843cd7a851b/42003_2021_1786_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/acec5e47198b/42003_2021_1786_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/e4c6136e529e/42003_2021_1786_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/6b0c9e16c227/42003_2021_1786_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/2b0faa1650ea/42003_2021_1786_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/dcbda1c16ae5/42003_2021_1786_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/ece09bd4b7c4/42003_2021_1786_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/8843cd7a851b/42003_2021_1786_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/acec5e47198b/42003_2021_1786_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/e4c6136e529e/42003_2021_1786_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/6b0c9e16c227/42003_2021_1786_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/2b0faa1650ea/42003_2021_1786_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/dcbda1c16ae5/42003_2021_1786_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/ece09bd4b7c4/42003_2021_1786_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4af5/7935961/8843cd7a851b/42003_2021_1786_Fig7_HTML.jpg

相似文献

1
Whole-organ analysis of TGF-β-mediated remodelling of the tumour microenvironment by tissue clearing.组织透明化的全器官分析方法研究 TGF-β 介导的肿瘤微环境重塑
Commun Biol. 2021 Mar 5;4(1):294. doi: 10.1038/s42003-021-01786-y.
2
A critical role of platelet TGF-β release in podoplanin-mediated tumour invasion and metastasis.血小板 TGF-β 释放在 podoplanin 介导的肿瘤侵袭和转移中的关键作用。
Sci Rep. 2017 Feb 8;7:42186. doi: 10.1038/srep42186.
3
Cyano Enone-Bearing Triterpenoid Soloxolone Methyl Inhibits Epithelial-Mesenchymal Transition of Human Lung Adenocarcinoma Cells In Vitro and Metastasis of Murine Melanoma In Vivo.含氰烯酮的三萜类化合物 Soloxolone 甲酯抑制人肺腺癌细胞体外上皮间质转化和体内黑色素瘤转移。
Molecules. 2020 Dec 14;25(24):5925. doi: 10.3390/molecules25245925.
4
PTTG1 knockdown enhances radiation-induced antitumour immunity in lung adenocarcinoma.PTTG1 敲低增强肺腺癌放疗诱导的抗肿瘤免疫。
Life Sci. 2021 Jul 15;277:119594. doi: 10.1016/j.lfs.2021.119594. Epub 2021 May 11.
5
Chinese medicine Bu-Fei decoction attenuates epithelial-mesenchymal transition of non-small cell lung cancer via inhibition of transforming growth factor β1 signaling pathway in vitro and in vivo.中药补肺汤通过在体内外抑制转化生长因子β1信号通路减轻非小细胞肺癌的上皮-间质转化
J Ethnopharmacol. 2017 May 23;204:45-57. doi: 10.1016/j.jep.2017.04.008. Epub 2017 Apr 12.
6
MicroRNA-206 suppresses TGF-β signalling to limit tumor growth and metastasis in lung adenocarcinoma.miR-206 抑制 TGF-β 信号通路以限制肺腺癌的肿瘤生长和转移。
Cell Signal. 2018 Oct;50:25-36. doi: 10.1016/j.cellsig.2018.06.008. Epub 2018 Jun 20.
7
C/EBPδ-Slug-Lox1 axis promotes metastasis of lung adenocarcinoma via oxLDL uptake.C/EBPδ-Slug-Lox1 轴通过摄取 oxLDL 促进肺腺癌转移。
Oncogene. 2020 Jan;39(4):833-848. doi: 10.1038/s41388-019-1015-z. Epub 2019 Sep 27.
8
In-vitro Pre-Treatment of Cancer Cells with TGF-β1: A Novel Approach of Tail Vein Lung Cancer Metastasis Mouse Model for Anti-Metastatic Studies.用 TGF-β1 对癌细胞进行体外预处理:一种新型尾静脉肺癌转移小鼠模型用于抗转移研究的方法。
Curr Mol Pharmacol. 2019;12(4):249-260. doi: 10.2174/1874467212666190306165703.
9
The long noncoding RNA TUG1 is required for TGF-β/TWIST1/EMT-mediated metastasis in colorectal cancer cells.长链非编码 RNA TUG1 是结直肠癌细胞中 TGF-β/TWIST1/EMT 介导转移所必需的。
Cell Death Dis. 2020 Jan 27;11(1):65. doi: 10.1038/s41419-020-2254-1.
10
EEF1A2 interacts with HSP90AB1 to promote lung adenocarcinoma metastasis via enhancing TGF-β/SMAD signalling.EEF1A2 通过与 HSP90AB1 相互作用促进肺腺癌转移,通过增强 TGF-β/SMAD 信号通路。
Br J Cancer. 2021 Mar;124(7):1301-1311. doi: 10.1038/s41416-020-01250-4. Epub 2021 Jan 21.

引用本文的文献

1
InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping.InterpolAI:基于深度学习的光流插值与生物医学图像恢复,用于改进三维组织映射
Nat Methods. 2025 May 28. doi: 10.1038/s41592-025-02712-4.
2
Tissue clearing method in visualization of cancer progression and metastasis.组织透明化方法在癌症进展和转移可视化中的应用。
Ups J Med Sci. 2024 Apr 9;129. doi: 10.48101/ujms.v129.10634. eCollection 2024.
3
Increased Multiplexity in Optical Tissue Clearing-Based Three-Dimensional Immunofluorescence Microscopy of the Tumor Microenvironment by Light-Emitting Diode Photobleaching.

本文引用的文献

1
Whole-Brain Profiling of Cells and Circuits in Mammals by Tissue Clearing and Light-Sheet Microscopy.哺乳动物通过组织透明化和光片显微镜进行全脑细胞和回路分析。
Neuron. 2020 May 6;106(3):369-387. doi: 10.1016/j.neuron.2020.03.004.
2
Epigenetic remodelling shapes inflammatory renal cancer and neutrophil-dependent metastasis.表观遗传重塑塑造炎症性肾癌和中性粒细胞依赖性转移。
Nat Cell Biol. 2020 Apr;22(4):465-475. doi: 10.1038/s41556-020-0491-2. Epub 2020 Mar 23.
3
Machine learning analysis of whole mouse brain vasculature.机器学习分析全鼠脑血管结构
通过发光二极管光漂白提高基于光学组织通透的三维免疫荧光显微镜检测肿瘤微环境的多重性。
Lab Invest. 2024 Jun;104(6):102072. doi: 10.1016/j.labinv.2024.102072. Epub 2024 Apr 26.
4
Generative interpolation and restoration of images using deep learning for improved 3D tissue mapping.利用深度学习进行图像生成插值和恢复以改进3D组织映射
bioRxiv. 2024 Mar 28:2024.03.07.583909. doi: 10.1101/2024.03.07.583909.
5
Volume imaging to interrogate cancer cell-tumor microenvironment interactions in space and time.体积成像技术用于在时空上研究癌细胞-肿瘤微环境相互作用。
Front Immunol. 2023 May 16;14:1176594. doi: 10.3389/fimmu.2023.1176594. eCollection 2023.
6
Accelerated Degradation of Poly-ε-caprolactone Composite Scaffolds for Large Bone Defects.用于大骨缺损的聚己内酯复合支架的加速降解
Polymers (Basel). 2023 Jan 28;15(3):670. doi: 10.3390/polym15030670.
7
New aspects of TGF-β superfamily signaling in development and disease (2022 FASEB meeting review).转化生长因子-β超家族信号在发育和疾病中的新进展(2022年美国实验生物学联合会会议综述)
Fac Rev. 2022 Dec 15;11:36. doi: 10.12703/r/11-36. eCollection 2022.
8
A practical spatial analysis method for elucidating the biological mechanisms of cancers with abdominal dissemination in vivo.一种实用的空间分析方法,用于阐明体内具有腹部扩散的癌症的生物学机制。
Sci Rep. 2022 Nov 24;12(1):20303. doi: 10.1038/s41598-022-24827-w.
9
Three-dimensional mapping reveals heterochronic development of the neuromuscular system in postnatal mouse skeletal muscles.三维图谱揭示了出生后小鼠骨骼肌神经肌肉系统的异时发育。
Commun Biol. 2022 Nov 8;5(1):1200. doi: 10.1038/s42003-022-04159-1.
10
An analysis modality for vascular structures combining tissue-clearing technology and topological data analysis.一种结合组织透明化技术和拓扑数据分析的血管结构分析模式。
Nat Commun. 2022 Sep 12;13(1):5239. doi: 10.1038/s41467-022-32848-2.
Nat Methods. 2020 Apr;17(4):442-449. doi: 10.1038/s41592-020-0792-1. Epub 2020 Mar 11.
4
Publisher Correction: Tissue clearing and its applications in neuroscience.出版商更正:组织透明化及其在神经科学中的应用。
Nat Rev Neurosci. 2020 May;21(5):298. doi: 10.1038/s41583-020-0291-5.
5
Lymphatic endothelial cells of the lymph node.淋巴结内的淋巴管内皮细胞。
Nat Rev Immunol. 2020 Sep;20(9):566-578. doi: 10.1038/s41577-020-0281-x. Epub 2020 Feb 24.
6
Mapping the Fine-Scale Organization and Plasticity of the Brain Vasculature.绘制大脑脉管系统的精细结构组织和可塑性图谱。
Cell. 2020 Feb 20;180(4):780-795.e25. doi: 10.1016/j.cell.2020.01.028. Epub 2020 Feb 13.
7
SciPy 1.0: fundamental algorithms for scientific computing in Python.SciPy 1.0:Python 中的科学计算基础算法。
Nat Methods. 2020 Mar;17(3):261-272. doi: 10.1038/s41592-019-0686-2. Epub 2020 Feb 3.
8
Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.深度学习揭示了全身的癌症转移和治疗性抗体靶向。
Cell. 2019 Dec 12;179(7):1661-1676.e19. doi: 10.1016/j.cell.2019.11.013.
9
Comparative analysis of TTF-1 binding DNA regions in small-cell lung cancer and non-small-cell lung cancer.小细胞肺癌和非小细胞肺癌中 TTF-1 结合 DNA 区域的比较分析。
Mol Oncol. 2020 Feb;14(2):277-293. doi: 10.1002/1878-0261.12608. Epub 2019 Dec 15.
10
ilastik: interactive machine learning for (bio)image analysis.ilastik:用于(生物)图像处理的交互式机器学习。
Nat Methods. 2019 Dec;16(12):1226-1232. doi: 10.1038/s41592-019-0582-9. Epub 2019 Sep 30.