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

Distinctive Features of Adult Stem Cells vs Cancer Stem Cells01:18

Distinctive Features of Adult Stem Cells vs Cancer Stem Cells

4.5K
A stem cell is an unspecialized cell that can divide without limit as needed and can, under specific conditions, differentiate into specialized cells.
Adult stem cells
Adult stem cells are tissue-specific; hence, they divide to develop the tissue from which they originate. One type of adult stem cell is the epithelial stem cell, which gives rise to the keratinocytes in the multiple layers of epithelial cells in the epidermis of the skin. Adult bone marrow has three distinct types of stem cells:...
4.5K
Induced Pluripotent Stem Cells01:13

Induced Pluripotent Stem Cells

28.1K
Stem cells are undifferentiated cells that divide and produce different types of cells. Ordinarily, cells that have differentiated into a specific cell type are post-mitotic—that is, they no longer divide. However, scientists have found a way to reprogram these mature cells so that they “de-differentiate” and return to an unspecialized, proliferative state. These cells are also pluripotent like embryonic stem cells—able to produce all cell types—and are therefore...
28.1K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

11.5K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
11.5K
Machines01:19

Machines

581
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
581
Machines: Problem Solving II01:30

Machines: Problem Solving II

677
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
677
Machines: Problem Solving I01:22

Machines: Problem Solving I

722
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
722

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

The WHO Classification of Genetic Tumour Syndromes: Considerations for Genetics.

Clinical genetics·2026
Same author

LPAR4 mediates resistance to interferon-induced stress in soft tissue sarcoma.

Science advances·2026
Same author

Spatially-Resolved Multiomic Atlas of Leiomyosarcoma Identifies Two Clinically Relevant Epigenetically-Driven Cell States.

bioRxiv : the preprint server for biology·2026
Same author

Pan-cancer spatial atlas of tertiary lymphoid structures.

Science (New York, N.Y.)·2026
Same author

PEPN1924, A Phase II Study of Trastuzumab Deruxtecan in Patients With Recurrent Human Epidermal Growth Factor Receptor 2+ Osteosarcoma: A Children's Oncology Group Pediatric Early-Phase Clinical Trial Network Study.

JCO oncology advances·2026
Same author

A Spatial Atlas of Muscle-Invasive Bladder Cancer Reveals Lineage-Specific Vulnerabilities and Immune Architecture.

Cancer discovery·2026

相关实验视频

Updated: Feb 12, 2026

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K

机器学习识别与癌症分化相关的干细胞特征

Tathiane M Malta1, Artem Sokolov2, Andrew J Gentles3

  • 1Henry Ford Health System, Detroit, MI 48202, USA; University of São Paulo, Ribeirão Preto-SP 14049, Brazil.

Cell
|April 7, 2018
PubMed
概括
此摘要是机器生成的。

这项研究引入了使用机器学习测量癌症脱差的新型干度指数. 这些指标揭示了癌症干,瘤微环境和转移之间的联系,为瘤分化提供了新的治疗点.

关键词:
癌症基因组图谱癌症干细胞没有区别表观遗传学基因组学机器学习胰腺癌树干长度

更多相关视频

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

相关实验视频

Last Updated: Feb 12, 2026

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

科学领域:

  • 癌症学
  • 基因组学
  • 生物信息学

背景情况:

  • 癌症进展的特征是干细胞的脱差和获得类似的特征.
  • 评估瘤分化程度对于了解癌症进展至关重要.

研究的目的:

  • 开发用于量化致癌脱差的新型干度指数.
  • 确定与癌症干结相关的新生物学机制和治疗点.

主要方法:

  • 使用一类逻辑回归 (OCLR) 机器学习算法.
  • 从干细胞和分化细胞中提取转录和表观遗传特征.
  • 应用干度指数来分析瘤微环境,转移性瘤和单细胞数据.

主要成果:

  • 发现了导致癌症的新生物机制.
  • 发现癌症干细胞,免疫检查点表达和免疫细胞透之间的相关性.
  • 观察到非分化表型在转移性瘤中更为突出.
  • 使用单细胞数据分析揭示了瘤内部的分子异质性.

结论:

  • 新型干度指数提供了瘤性分化量的量度.
  • 癌症干与瘤免疫微环境和转移潜力有关.
  • 开发的指数可以确定针对瘤分化的新治疗策略.