Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

ESRP1-regulated DNMT3B isoform switching determines the malignant potential of pancreatic cancer.

Oncogene·2026
Same author

Biomimetic lipid nanoparticles for macrophage reprogramming in cancer immunotherapy.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Evaluating the Effect of Sorafenib on Gd-EOB-DTPA-mediated Contrast Enhancement: An Experimental Study using DCE-MRI.

Molecular imaging and biology·2026
Same author

Chromatin rewiring of β-globin and MYC enhancers by TGF-β1 drives defective erythropoiesis.

Nature communications·2026
Same author

One-step knock-in CAR constructs in human NK cells enable scalable, TGFβ1-resistant immunotherapy for solid tumors.

Theranostics·2026
Same author

Tm4sf19 inhibition alleviates imiquimod-induced psoriatic dermatitis by regulating inflammatory signaling pathways and keratinocyte proliferation in mice.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]·2026

相关实验视频

Updated: Jan 9, 2026

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

17.5K

来自人类胰腺恒星细胞的炎症性和肌纤维细胞癌相关纤维细胞亚型的分子分析,使用基于机器学习的无标签拉曼光谱法.

Minju Cho1, Eun-Young Koh1, Yeounhee Kim1

  • 1Department of Convergence Medicine, Brain Korea 21 Project, University of Ulsan, College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Biomaterials research
|December 11, 2025
PubMed
概括

与癌症相关的纤维细胞 (CAFs) 是多种多样的. 拉曼光谱通过它们独特的化学特征在胰腺癌中区分CAF亚型,有助于研究和治疗.

更多相关视频

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

811
A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
10:37

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

1.0K

相关实验视频

Last Updated: Jan 9, 2026

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

17.5K
Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

811
A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells
10:37

A Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells

Published on: August 22, 2025

1.0K

科学领域:

  • 在瘤学瘤学.
  • 生物化学 生物化学
  • 频谱学是一种光谱学.

背景情况:

  • 癌症相关纤维细胞 (CAF) 是胰腺瘤微环境的关键组成部分.
  • CAF的异质性和可塑性是显著的,使亚型分化对于理解胰腺瘤发生至关重要.
  • 开发非侵入性方法来区分CAF与正常纤维细胞对于治疗进步至关重要.

研究的目的:

  • 通过拉曼光谱学来化学表征和区分人类原发性胰腺星状细胞 (HPaSC),炎症性CAF (iCAF) 和肌纤维细胞CAF (myCAF).
  • 建立一个无标签的分析方法,用于CAF亚群的分子分析.
  • 通过转录组和脂组组分析验证拉曼光谱学的发现.

主要方法:

  • 利用拉曼光谱技术进行无标签的化学表征和HPaSCs,iCAFs和myCAFs的分子分析.
  • 进行了转录组和脂组分析,以验证拉曼光谱数据.
  • 应用多变量光谱分析,包括部分最小方程区分分析 (PLS-DA),用于亚型分类.

主要成果:

  • 根据它们的内在化学特征,成功地区分了HPaSC,iCAF和myCAF亚型.
  • 证明拉曼光谱为每个纤维细胞亚型提供了不同的分子配置文件.
  • 在使用多变量光谱分析和PLS-DA的CAF亚型分类中达到95%的准确性.

结论:

  • CAF亚种群具有独特的内在分子特征,可以使用拉曼光谱来定量区分.
  • 无标签拉曼光谱为识别和表征CAF提供了一种有希望的方法,而不需要光或特定生物标志物.
  • 这种方法有可能促进胰腺癌研究和向治疗的开发.