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The Nucleus01:32

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The nucleus is a membrane-bound organelle that acts as a control center in a eukaryotic cell. It contains chromosomal DNA, which controls gene expression and precisely regulates the production of proteins within the cell. In contrast, the DNA inside the mitochondria and chloroplast only carries out functions that are specific to those organelles.
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The Nucleus01:25

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The nucleus is a membrane-bound organelle that acts as a control center in a eukaryotic cell. It contains chromosomal DNA, which controls gene expression and precisely regulates the production of proteins within the cell. In contrast, the DNA inside the mitochondria and chloroplast only carries out functions that are specific to those organelles.
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Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
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Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
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Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
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The concept of dimension is important because every mathematical equation linking physical quantities must be dimensionally consistent, implying that mathematical equations must meet the following two rules. The first rule is that, in an equation, the expressions on each side of the equal sign must have the same dimensions. This is fairly intuitive since we can only add or subtract quantities of the same type (dimension). The second rule states that, in an equation, the arguments of any of the...
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Computer-Aided Three-Dimensional Visualization in the Treatment of Locally Advanced Thyroid Cancer
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The three-dimensional cancer nucleus.

Sabine Mai1

  • 1Cell Biology, Research Institute for Oncology and Hematology, CancerCare Manitoba, The University of Manitoba, Winnipeg, Manitoba, Canada.

Genes, Chromosomes & Cancer
|December 12, 2018
PubMed
Summary
This summary is machine-generated.

The three-dimensional genome organization in cancer cells has been studied for over 100 years. Current research shows nuclear structural order can serve as a novel cancer cell biomarker.

Keywords:
BoveriHansemanncancerhistory of nuclear architecturenuclear architecturestructural biomarkers

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Area of Science:

  • Genomics
  • Cell Biology
  • Cancer Research

Background:

  • The study of the three-dimensional (3D) genome organization in cancer cells spans over a century.
  • Historical context includes early observations of aberrant mitoses and nuclei in cancer cells and Boveri's cancer cell theory.
  • Contemporary research focuses on nuclear organization and its alterations in cancer.

Purpose of the Study:

  • To trace the historical progression of research into the 3D genome organization in cancer.
  • To highlight the interplay between molecular and imaging techniques in understanding cancer cell nuclear architecture.
  • To introduce the concept of nuclear structural order as a potential cancer biomarker.

Main Methods:

  • Historical literature review tracing key discoveries.
  • Integration of molecular biology techniques and advanced imaging methods.
  • Analysis of changes in nuclear organization within cancer cells.

Main Results:

  • Established a historical timeline from early 19th-century observations to current understanding.
  • Demonstrated the synergistic role of molecular and imaging approaches in elucidating genome spatial organization.
  • Identified alterations in nuclear structure as significant in cancer development.

Conclusions:

  • The spatial organization of the cancer cell genome is a long-standing area of research with evolving insights.
  • Advances in molecular and imaging technologies have significantly improved our understanding of nuclear architecture in cancer.
  • The structural order of the nucleus presents a promising avenue for development as a cancer cell biomarker.