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相关概念视频

What are Cells?01:07

What are Cells?

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Cells are the smallest and basic units of life, whether it is a single cell that forms the entire organism, e.g., in a bacterium or trillions of them, e.g., in humans. No matter what organism a cell is a part of, they share specific characteristics.
Basic Characteristics of Cells
A living cell has a plasma membrane, a bilayer of lipids that separates the aqueous solution inside the cell called the cytoplasm from the outside environment.
Furthermore, a living cell possesses genetic information...
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The Tree of Life - Bacteria, Archaea, Eukaryotes02:40

The Tree of Life - Bacteria, Archaea, Eukaryotes

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The “tree of life” describes the evolution of life and the evolutionary relationships between organisms. The root of the tree is the common ancestor to all life on Earth. All other species radiate from this point, much like the branches of a tree. The numerous tips of these branches on the tree of life represent every living, or extant, species. Extinct species, which are species that no longer exist, can be found towards the center of the tree. Currently, these organisms, both...
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What are Cells?01:15

What are Cells?

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Cells are the smallest and basic units of life, whether it is a single cell that forms the entire organism, e.g., in a bacterium, or trillions of them, e.g., in humans. No matter what organism a cell is a part of, they share specific characteristics.
Basic Characteristics of Cells
A living cell has a plasma membrane, a bilayer of lipids that separates the aqueous solution inside the cell called the cytoplasm from the outside environment.
Furthermore, a living cell possesses genetic information...
30.9K
Eukaryotic Evolution01:24

Eukaryotic Evolution

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The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
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Zygotic Development And Stem Cell Formation01:10

Zygotic Development And Stem Cell Formation

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The development of all multicellular organisms starts with the fusion of haploid cells called sperm and egg to form a diploid zygote. A zygote is a totipotent cell that can develop into a complete organism. The zygote undergoes cell division or cleavage to form an 8-cell mass. Until this stage, the cells are spherical, loosely attached, and remain totipotent. Totipotent cells are capable of developing both the embryonic and the extraembryonic tissues. However, as they continue to divide, they...
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Cell Diversity01:13

Cell Diversity

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The concept of a cell started with microscopic observations of dead cork tissue by Robert Hooke in 1665. Hooke coined the term "cell" based on the resemblance of the small subdivisions in the cork to the rooms that monks inhabited, called cells. About ten years later, Antonie van Leeuwenhoek became the first person to observe the living and moving cells under a microscope. In the century that followed, the theory that cells represented the basic unit of life developed.
Multicellular...
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Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
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甲动物细胞系的简单性

Ricardo B R Azevedo1, Rolf Lohaus, Volker Braun

  • 1Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204-5001, USA. razevedo@uh.edu

Nature
|January 15, 2005
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概括
此摘要是机器生成的。

胚胎发育中的生物复杂性是惊人的简单. 新的研究引入了测量细胞系的算法复杂性,发现元生动物的发育比预期的要简单,并通过选择减少复杂性来塑造.

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科学领域:

  • 进化发育生物学 进化发育生物学
  • 计算生物学是一种计算生物学.
  • 系统生物学 系统生物学

背景情况:

  • 发育过程是复杂的,但很少在物种之间得到量化.
  • 测量生物复杂性仍然是一个重大挑战.

研究的目的:

  • 引入一种基于算法信息理论的生物复杂性的新测量方法.
  • 量化和比较胚胎细胞系的复杂性在元动物.

主要方法:

  • 通过其子系来定义细胞系的算法复杂性.
  • 这项测量适用于四种甲动物物种的胚胎系.
  • 进行了进化模拟,以探索在约束条件下的复杂性进化.

主要成果:

  • 甲动物胚胎细胞系比随机细胞系要简单得多.
  • 被调查的血统接近于在强烈的发展约束下可以实现的最小复杂度.
  • 进化模拟支持发展约束和稳定选择的作用.

结论:

  • 减少复杂性的选择是塑造元动物细胞系的主要因素.
  • 算法复杂性为研究发育进化的研究提供了定量框架.
  • 发育过程可能会朝着简单而不是复杂的方向发展.