DOI: 10.57760/sciencedb.16641
title: Cell Autophagy Experimental Dataset for Biomedical Engineering
title: 生物医学工程的细胞自噬实验数据集

description: 1、 Background Introduction Cellular autophagy is an important process in biology that involves the degradation and reuse of damaged, aged, or excess proteins and organelles within cells. This process is crucial for maintaining cellular homeostasis and function. With the development of biomedical engineering, research on cell autophagy has become increasingly in-depth, resulting in a large amount of experimental data. In order to better analyze and understand these data, it has become particularly important to construct specialized datasets for autophagy experiments. 2、 Dataset Overview This dataset is a comprehensive dataset on cell autophagy experiments, covering various data from basic experiments to advanced research. The data mainly comes from biomedical laboratories, research institutions, and experimental data in public literature. 3、 Data content 1. Cell sample information: including basic information such as cell type, source, and culture conditions. 2. Experimental conditions: including experimental temperature, pH value, drug treatment, gene knockout, and other experimental conditions. 3. Autophagy marker expression data: expression levels of key autophagy markers such as LC3 and p62. 4. Cell viability and mortality data: reflect the cell survival status during autophagy. 5. Image data: including autophagy images under fluorescence microscopy and autophagosome structures under transmission electron microscopy. 4、 Data characteristics 1. Diversity: The dataset covers various cell types, experimental conditions, and autophagy induction methods, providing a rich data foundation for comprehensive analysis of cell autophagy. 2. Standardization: All data is standardized to ensure data quality and comparability. 3. Visualization: Provides data visualization tools to facilitate users to analyze and understand data intuitively. 5、 Application scenarios This dataset can be widely applied in fields such as biomedical engineering, cell biology, and drug development. By delving deeper into datasets, researchers can better understand the regulatory mechanisms of cellular autophagy, providing new ideas and methods for disease diagnosis and treatment. 6、 Summary The cell autophagy experimental dataset is an important resource in the field of biomedical engineering, providing rich data support for the study of cell autophagy. By utilizing this dataset reasonably, we can delve deeper into the regulatory mechanisms of cellular autophagy, providing strong support for biomedical research and applications. 
description: 1、 Background Introduction Cellular autophagy is an important process in biology that involves the degradation and reuse of damaged, aged, or excess proteins and organelles within cells. This process is crucial for maintaining cellular homeostasis and function. With the development of biomedical engineering, research on cell autophagy has become increasingly in-depth, resulting in a large amount of experimental data. In order to better analyze and understand these data, it has become particularly important to construct specialized datasets for autophagy experiments. 2、 Dataset Overview This dataset is a comprehensive dataset on cell autophagy experiments, covering various data from basic experiments to advanced research. The data mainly comes from biomedical laboratories, research institutions, and experimental data in public literature. 3、 Data content 1. Cell sample information: including basic information such as cell type, source, and culture conditions. 2. Experimental conditions: including experimental temperature, pH value, drug treatment, gene knockout, and other experimental conditions. 3. Autophagy marker expression data: expression levels of key autophagy markers such as LC3 and p62. 4. Cell viability and mortality data: reflect the cell survival status during autophagy. 5. Image data: including autophagy images under fluorescence microscopy and autophagosome structures under transmission electron microscopy. 4、 Data characteristics 1. Diversity: The dataset covers various cell types, experimental conditions, and autophagy induction methods, providing a rich data foundation for comprehensive analysis of cell autophagy. 2. Standardization: All data is standardized to ensure data quality and comparability. 3. Visualization: Provides data visualization tools to facilitate users to analyze and understand data intuitively. 5、 Application scenarios This dataset can be widely applied in fields such as biomedical engineering, cell biology, and drug development. By delving deeper into datasets, researchers can better understand the regulatory mechanisms of cellular autophagy, providing new ideas and methods for disease diagnosis and treatment. 6、 Summary The cell autophagy experimental dataset is an important resource in the field of biomedical engineering, providing rich data support for the study of cell autophagy. By utilizing this dataset reasonably, we can delve deeper into the regulatory mechanisms of cellular autophagy, providing strong support for biomedical research and applications.