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関連する概念動画

Position-effect Variegation02:32

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In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
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What is Variation?01:14

What is Variation?

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Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
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Variation01:19

Variation

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An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
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Source Transformation01:15

Source Transformation

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Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
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Design Example01:23

Design Example

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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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Genetic Variation01:25

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Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
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Visualizing Visual Adaptation
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Srcのようなテーマのバリエーションです.

Stephen C Harrison1

  • 1Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Children's Hospital, Howard Hughes Medical Institute, Boston, MA 02115, USA. harrison@crystal.harvard.edu

Cell
|March 26, 2003
PubMed
まとめ
この要約は機械生成です。

進化は,新しいものを発明するよりも,機能的なタンパク質ドメインの組み合わせを再利用することを好む. これにより,異なるゲノムコンテキストの分子解が保存され,確立されたタンパク質アーキテクチャの好みを強調します.

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科学分野:

  • タンパク質のアーキテクチャ
  • 分子進化は分子進化である.
  • ゲノミクスゲノミクスとは

背景:

  • タンパク質ドメインはモジュラリティと多様性を示し,広範な組み合わせの可能性を示唆しています.
  • 進化過程は,タンパク質ドメインの保存された組み合わせを好むように見える.

研究 の 目的:

  • 機能性タンパク質ドメインの組み合わせの進化的保存を調査する.
  • タンパク質の進化における分子溶液の再利用を理解する.

主な方法:

  • 複数のゲノムにわたるタンパク質ドメインアーキテクチャの分析.
  • 特定の機能を持つ繰り返されるドメインの組み合わせを識別する.

主要な成果:

  • 協調した機能を果たすタンパク質ドメインの特定のグループが,しばしば保存されます.
  • これらの機能ドメインの組み合わせは,多様なゲノム文脈で再現されます.
  • 確立された分子溶液の進化的再利用は,一般的な戦略です.

結論:

  • タンパク質の進化は,機能ドメインの組み合わせの保守的な選択と再利用によって特徴付けられています.
  • この再利用戦略は,分子ソリューションを最適化し,再発明の必要性を軽減します.
  • ドメイン組み合わせ保存を理解することは,タンパク質の進化と機能の洞察を提供します.