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相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.2K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Forced Transdifferentiation01:28

Forced Transdifferentiation

1.9K
Transdifferentiation, also known as lineage reprogramming, was first discovered by Selman and Kafatos in 1974 in silkmoths. They observed that the moths’ cuticle-producing cells transformed into salt-producing cells. Many such cases of natural transdifferentiation occur in organisms. In humans, pancreatic alpha cells can become beta cells. In newts, the loss of the eye’s lens causes the pigmented epithelial cells to transdifferentiate into the lens cells.
Artificial...
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Methods of Nuclear Reprogramming01:24

Methods of Nuclear Reprogramming

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Nuclear reprogramming is a process of transforming one cell type into an unrelated cell type by epigenetic changes that alter the cell’s original gene expression pattern. Such epigenetic changes force cells to express a different set of genes, which play a significant role in inducing transformation into other cell types. Nuclear reprogramming offers applications in reproductive cloning for livestock propagation and regenerative medicine — developing patient-specific cells for...
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The Central Dogma01:20

The Central Dogma

20.5K
The central dogma explains the flow of genetic information from DNA nucleotides to the amino acid sequence of proteins.
RNA is the Missing Link Between DNA and Proteins
In the early 1900s, scientists discovered that DNA stores all the information needed for cellular functions and that proteins perform most of these functions. However, the mechanisms of converting genetic information into functional proteins remained unknown for many years. Initially, it was believed that a single gene is...
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Experimental RNAi02:15

Experimental RNAi

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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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相关实验视频

Updated: Jun 6, 2025

Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

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人工智能:细胞生物学中的一个变革性机会

Ambrose Carr1, Jonah Cool1, Theofanis Karaletsos1

  • 1Chan Zuckerberg Initiative, Redwood City, CA 94063.

Molecular biology of the cell
|December 2, 2024
PubMed
概括

人工智能 (AI) 和机器学习在生物医学研究中表现有前途. 应用人工智能来理解细胞功能,生命的基本单元,为推进生物洞察提出了下一个重大挑战.

科学领域:

  • 生物医学研究生物医学研究
  • 计算生物学 计算生物学
  • 细胞生物学 细胞生物学

背景情况:

  • 人工智能 (AI) 和机器学习 (ML) 已经在预测蛋白质结构和相互作用方面取得了成功.
  • 人工智能的潜力对于加速生物医学研究具有重要意义.
  • 了解细胞功能是AI在生物学中的下一个前沿.

研究的目的:

  • 突出AI和ML在理解细胞功能方面的潜力.
  • 概述了为细胞生物学开发复杂的人工智能模型的挑战和要求.
  • 强调细胞生物学家在促进生物研究人工智能的作用.

主要方法:

  • 开发复杂的人工智能模型,整合定量,多式联运数据.
  • 将细胞结构 (分子组成,结构,形态) 与细胞功能 (细胞类型,状态) 联系起来.
  • 利用机器学习和人工智能的进步来进行生物数据分析.

主要成果:

  • 人工智能算法是推动生物医学研究的强大工具.
  • 预测细胞功能需要复杂的AI模型和全面的数据.
  • 细胞生物学家对于细胞生物学中AI模型的开发和验证至关重要.

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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

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A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments
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A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

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相关实验视频

Last Updated: Jun 6, 2025

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08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
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A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

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A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments
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A Versatile Automated Platform for Micro-scale Cell Stimulation Experiments

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结论:

  • 人工智能为了解细胞,即生命的基本单位提供了变革性的潜力.
  • 多式联运数据的整合是构建有效的细胞规模AI模型的关键.
  • 细胞生物学家必须积极参与人工智能开发,以充分利用其在生物发现中的潜力.