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Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

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The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent...
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

516
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
516
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

681
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
681
Random Error01:04

Random Error

880
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
880
Random and Systematic Errors01:20

Random and Systematic Errors

10.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
10.9K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

73.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
73.7K

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相关实验视频

Updated: Jun 26, 2025

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
10:38

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Published on: September 27, 2012

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基于积累的随机变化的老化时钟.

David H Meyer1,2, Björn Schumacher3,4

  • 1Institute for Genome Stability in Aging and Disease, University Hospital and University of Cologne, Cologne, Germany. david.meyer@uni-koeln.de.

Nature aging
|May 9, 2024
PubMed
概括
此摘要是机器生成的。

累积数据中的随机变化可以创建精确的衰老时钟,挑战编程衰老过程的想法. 这些时钟可以预测生物年龄,并跟踪与年龄有关的疾病的干预措施.

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A Computational Method to Quantify Fly Circadian Activity
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A Computational Method to Quantify Fly Circadian Activity

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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

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相关实验视频

Last Updated: Jun 26, 2025

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
10:38

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Published on: September 27, 2012

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A Computational Method to Quantify Fly Circadian Activity
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A Computational Method to Quantify Fly Circadian Activity

Published on: October 28, 2017

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Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

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科学领域:

  • 老龄化的生物学.
  • 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
  • 计算生物学是一种计算生物学.

背景情况:

  • 老龄化时钟是老龄化研究的关键突破,可能表明对与年龄有关的疾病的干预措施的有效性.
  • 老时钟的可复制性引发了关于老化是否是一个被编程的过程的争论.

研究的目的:

  • 调查是否积累随机变化,而不是一个编程过程,足以构建精确的老化时钟.
  • 确定现有的老化时钟模型是否与随机变化积累兼容.

主要方法:

  • 模拟数据分析以建模衰老过程.
  • 使用DNA甲基化和转录基因数据对第一代和第二代老化时钟的评估.
  • 基于随机变化的时间和生物年龄预测准确性的评估.

主要成果:

  • 在模拟数据中积累随机变化足以构建功能老化的时钟.
  • 第一代和第二代老化时钟与随机变化积累模型保持一致.
  • 随机变化成功预测了时间和生物年龄,显示了吸烟和卡路里限制等干预措施的显著差异.

结论:

  • 随机变化积累足以产生衰老时钟,预测生物年龄和评估干预措施.
  • 结果表明,时钟的衰老可能是随机变化的结果,不一定是被编程的衰老过程.
  • 这些发现为老化和老化时钟的发展背后的机制提供了新的视角.