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Cell mechanics is a sub-field of biophysics that focuses on the mechanical properties and behavior of living cells and how it relates to cell function. [1] It encompasses aspects of cell biophysics , biomechanics , soft matter physics and rheology , mechanobiology and cell biology .
In 1903, Nikolai K. Koltsov proposed that the shape of cells was determined by a network of tubules that he termed the cytoskeleton. The concept of a protein mosaic that dynamically coordinated cytoplasmic biochemistry was proposed by Rudolph Peters in 1929 [12] while the term (cytosquelette, in French) was first introduced by French embryologist Paul Wintrebert in 1931.
By studying these mechanical properties, greater insight will be gained in regards to disease. Thus, the goal of understanding cell biomechanics is to combine theoretical, experimental, and computational approaches to construct a realistic description of cell mechanical behaviors to provide new insights on the role of mechanics in disease. [2]
Page of one of the first works of Biomechanics (De Motu Animalium of Giovanni Alfonso Borelli) in the 17th centuryBiomechanics is the study of the structure, function and motion of the mechanical aspects of biological systems, at any level from whole organisms to organs, cells and cell organelles, [1] using the methods of mechanics. [2]
In cell biology, the spindle apparatus is the cytoskeletal structure of eukaryotic cells that forms during cell division to separate sister chromatids between daughter cells. It is referred to as the mitotic spindle during mitosis , a process that produces genetically identical daughter cells, or the meiotic spindle during meiosis , a process ...
In order to maintain a standard for Cell and molecular biology articles a standard color scheme should be used. The accepted colors for cellular locations are described in the table. Colors for other components, such as molecules, can be chosen at the discretion of the designer, however, the following should be considered:
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These images depict space-time diagrams, in which each row of pixels shows the cells of the automaton at a single point in time, with time increasing downwards. They start with an initial automaton state in which a single cell, the pixel in the center of the top row of pixels, is in state 1 and all other cells are 0.