相关实验视频
Updated: Feb 10, 2026

08:39
Culture of Bladder Cancer Organoids as Precision Medicine Tools
Published on: December 28, 2021
5.5K
作为膀癌候选生物标记物的CCT5:功能验证和机械学线索
Xiaojun Zhang1,2, Yuqiang Fu1,2, Yuelin Du1,2
1Department of Urology, Gansu Province Clinical Research Center for Urinary System Disease, The Second Hospital of Lanzhou University Lanzhou 730030, Gansu, China.
American journal of cancer research
|February 9, 2026
概括
含Chaperonin的TCP1复杂子单元5 (CCT5) 在膀癌中被上调,促进瘤生长和入侵. 它的耗尽激活Hippo/YAP信号,这表明CCT5是一个潜在的治疗目标.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 癌症基因组学 癌症基因组学
背景情况:
- 含Chaperonin的TCP1复杂子单元5 (CCT5) 与各种癌症有关.
- 在膀癌 (BC) 中CCT5的特定作用及其分子机制尚不清楚.
- 在BC中研究CCT5可能会揭示新的治疗点.
研究的目的:
- 研究CCT5在膀癌中的功能作用.
- 探索CCT5和Hippo/YAP在BC中的信号传输之间的关联.
- 评估CCT5作为潜在的预后生物标志物和BC的治疗点.
主要方法:
- 使用TCGA和GEO数据集分析CCT5表达和预后值.
- 单细胞和空间转录组学用于评估表达模式和细胞异质性.
- 在体外和体外功能测试 (异种移植),RNA-seq和西方涂抹以阐明机制.
主要成果:
- 在膀癌中,CCT5显著上调,与预后不佳和攻击性特征相关.
- CCT5在具有高副本数变异 (CNV) 评分的恶性上皮细胞中得到丰富,并激活了致癌途径.
- CCT5促进BC细胞增殖,迁移,入侵和细胞周期进展,同时抑制细胞亡;CCT5枯竭减少瘤生长并激活Hippo/YAP信号传递.
结论:
- CCT5作为膀癌的致癌因素,推动瘤的进展.
- CCT5可能通过调节Hippo/YAP信号来发挥其致癌作用.
- CCT5为膀癌治疗提供了一个有前途的生物标志物和治疗点.
相关概念视频
Reliability and Validity
14.1K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Urinary Bladder
3.5K
The urinary bladder is a hollow, muscular sac that temporarily stores urine before it is expelled from the body. It can hold approximately 600 mL of urine prior to micturition. The bladder is retroperitoneal and located behind the pubic symphysis in the pelvic floor.
In males, the bladder is situated in front of the rectum, while in females, it is positioned anterior to the vagina and uterus. The bladder floor contains an inverted triangular area called the trigone, defined by the two ureteric...
In males, the bladder is situated in front of the rectum, while in females, it is positioned anterior to the vagina and uterus. The bladder floor contains an inverted triangular area called the trigone, defined by the two ureteric...
3.5K
Data Validation
2.1K
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:
2.1K
Data Validation
6.9K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
6.9K
Mechanistic Models: Overview of Compartment Models
389
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
389
Mechanistic Models: Compartment Models in Individual and Population Analysis
270
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
270

