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Entropy within the Cell01:22

Entropy within the Cell

12.2K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
12.2K
Entropy02:39

Entropy

32.8K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
32.8K
Entropy01:18

Entropy

3.1K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.1K
Structure of a Gene01:30

Structure of a Gene

14.6K
A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
14.6K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

60.7K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

24.2K
Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
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Related Experiment Video

Updated: Nov 10, 2025

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

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How Chaotic Is Genome Chaos?

James A Shapiro1

  • 1Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA.

Cancers
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

Cancer genome evolution is not chaotic. Identifying specific DNA change signatures reveals cellular systems driving tumor progression, offering new therapeutic targets.

Keywords:
DNA break repairalternative end-joining (alt-EJ)chromoanasynthesischromoplexychromothripsisclass switch recombination (CSR)human papillomavirus (HPV)immunoglobulin VDJ joiningretrotranspositiontarget-primed reverse transcription (TPRT)

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Microbial Communities in Nature and Laboratory - Interview
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Microbial Communities in Nature and Laboratory - Interview

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Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • Cancer genomes undergo punctuated evolution, marked by abrupt genome restructuring termed "genome chaos."
  • Understanding the mechanisms behind these genomic alterations is crucial for cancer research.

Purpose of the Study:

  • To determine if widespread cancer genome changes are truly chaotic.
  • To identify cellular systems responsible for genome restructuring and their associated DNA change signatures.

Main Methods:

  • Reviewing cell and molecular systems involved in genome restructuring.
  • Describing characteristic DNA change signatures resulting from these systems.
  • Examining case studies of genome restructuring influenced by cell type or viral infection.

Main Results:

  • Many restructured cancer genomes exhibit non-chaotic signatures.
  • These signatures can identify specific cellular systems driving major oncogenic transitions.
  • Cell type and viral infection significantly influence genome restructuring patterns.

Conclusions:

  • Cancer genome evolution, while punctuated, is not entirely chaotic.
  • Identifying "unchaotic" signatures allows for the pinpointing of cellular systems responsible for tumor progression.
  • This knowledge can lead to the development of targeted therapies to inhibit aggressive cancer development.