Macromolecular crowding

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The phenomenon of macromolecular crowding alters the properties of molecules in a solution when high concentrations of macromolecules such as proteins are present.[1] Such conditions occur routinely in living cells; for instance, the cytosol of Escherichia coli contains about 300-400 mg/ml of macromolecules.[2] Crowding occurs since these high concentrations of macromolecules reduce the volume of solvent available for other molecules in the solution, which has the result of increasing their effective concentrations.

This crowding effect can make molecules in cells behave in radically different ways than in test-tube assays.[3] Consequently, measurements of the properties of enzymes or processes in metabolism that are made in the laboratory in dilute solutions may be different by many orders of magnitude from the true values seen in living cells. The study of biochemical processes under realistically crowded conditions is very important, since these conditions are a ubiquitous property of all cells and crowding may be essential for the efficient operation of metabolism.

Cause and effects

The interior of cells is a crowded environment. For example, an Escherichia coli cell is only about 2 micrometres (μm) long and 0.5 μm in diameter, with a cell volume of 0.6 - 0.7 μm3.[4] However, E. coli can contain up to 4,288 different types of proteins,[5] and about 1,000 of these types are produced at a high enough level to be easily detected.[6] Added to this mix are various forms of RNA and the cell's DNA chromosome, giving a total concentration of macromolecules of between 300 to 400 mg/ml.[2] In eukaryotes the cell's interior is further crowded by the protein filaments that make up the cytoskeleton, this meshwork divides the cytosol into a network of narrow pores.[7]

These high concentrations of macromolecules occupy a large proportion of the volume of the cell, which reduces the volume of solvent that is available for other macromolecules. This excluded volume[8][9] increases the effective concentration of macromolecules (increasing their chemical activity), which in turn alters the rates and equilibrium constants of their reactions.[10] In particular this effect alters dissociation constants by favoring the association of macromolecules, such as when multiple proteins come together to form protein complexes, or when DNA-binding proteins bind to their targets in the genome.[11] Crowding may also affect enzyme reactions involving small molecules if the reaction involves a large change in the shape of the enzyme.[10]

The size of the crowding effect depends on both the molecular mass and shape of the molecule involved, although mass seems to be the major factor – with the effect being stronger with larger molecules.[10] Notably, the size of the effect is non-linear, so macromolecules are much more strongly affected than are small molecules such as amino acids or simple sugars. Macromolecular crowding is therefore an effect exerted by large molecules on the properties of other large molecules.

Importance

Macromolecular crowding is an important effect in biochemistry and cell biology. For example, the increase in the strength of interactions between proteins and DNA produced by crowding may be of key importance in processes such as transcription and DNA replication.[12][13] Crowding has also been suggested to be involved in processes as diverse as the aggregation of hemoglobin in sickle-cell disease, and the responses of cells to changes in their volume.[3]

The importance of crowding in protein folding is of particular interest in biophysics. Here, the crowding effect can accelerate the folding process, since a compact folded protein will occupy less volume than an unfolded protein chain.[14] However, crowding can reduce the yield of correctly-folded protein by increasing the aggregation of mis-folded protein.[15][16] Crowding may also increase the effectiveness of chaperone proteins such as GroEL in the cell,[17] which could counteract this reduction in folding efficiency.[18]

A particularly striking example of the importance of crowding effects involves the crystallins that fill the interior of the lens. These proteins have to remain stable and in solution for the lens to be transparent; precipitation or aggregation of crystallins causes cataracts.[19] Crystallins are present in the lens at extremely high concentrations, over 500 mg/ml, and at these levels crowding effects are very strong. The large crowding effect adds to the thermal stability of the crystallins, increasing their resistance to denaturation.[20] This effect may partly explain the extraordinary resistance shown by the lens to damage caused by high temperatures.[21]

Study

Due to macromolecular crowding enzyme assays and biophysical measurements performed in dilute solution may fail to reflect the actual processes that take place in the cytosol. One approach to produce more accurate measurements would be to use highly-concentrated extracts of cells, to try to maintain the cell contents in a more natural state. However, when using such extracts it is very difficult to study one process in isolation.[1] Consequently, the crowded effects may be mimicked in vitro by adding high concentrations of an inert molecule such as polyethylene glycol or ficoll to assays containing purified components.[22] However, using such artificial crowding agents can be complicated, as these crowding molecules can sometimes interact in other ways with the process being examined, such as by binding weakly to one of the components.[1]

See also

References

  1. 1.0 1.1 1.2 Ellis RJ (2001). "Macromolecular crowding: obvious but underappreciated". Trends Biochem. Sci. 26 (10): 597–604. PMID 11590012. Unknown parameter |month= ignored (help)
  2. 2.0 2.1 Zimmerman SB, Trach SO (1991). "Estimation of macromolecule concentrations and excluded volume effects for the cytoplasm of Escherichia coli". J. Mol. Biol. 222 (3): 599–620. PMID 1748995. Unknown parameter |month= ignored (help)
  3. 3.0 3.1 Minton AP (2006). "How can biochemical reactions within cells differ from those in test tubes?". J. Cell. Sci. 119 (Pt 14): 2863–9. doi:10.1242/jcs.03063. PMID 16825427. Unknown parameter |month= ignored (help)
  4. Kubitschek HE (1990). "Cell volume increase in Escherichia coli after shifts to richer media". J. Bacteriol. 172 (1): 94–101. PMC 208405. PMID 2403552. Unknown parameter |month= ignored (help)
  5. Blattner FR, Plunkett G, Bloch CA; et al. (1997). "The complete genome sequence of Escherichia coli K-12". Science (journal). 277 (5331): 1453–74. PMID 9278503. Unknown parameter |month= ignored (help)
  6. Han MJ, Lee SY (2006). "The Escherichia coli proteome: past, present, and future prospects". Microbiol. Mol. Biol. Rev. 70 (2): 362–439. doi:10.1128/MMBR.00036-05. PMC 1489533. PMID 16760308. Unknown parameter |month= ignored (help)
  7. Minton AP (1992). "Confinement as a determinant of macromolecular structure and reactivity". Biophys. J. 63 (4): 1090–100. PMC 1262248. PMID 1420928. Unknown parameter |month= ignored (help)
  8. Hill TL (1986). An Introduction to Statistical Thermodynamics. New York: Dover Publications. p. 288.
  9. Hill TL (1986). An Introduction to Statistical Thermodynamics. New York: Dover Publications. p. 225.
  10. 10.0 10.1 10.2 Minton AP (2001). "The influence of macromolecular crowding and macromolecular confinement on biochemical reactions in physiological media". J. Biol. Chem. 276 (14): 10577–80. doi:10.1074/jbc.R100005200. PMID 11279227.
  11. Zhou HX, Rivas G, Minton AP (2008). "Macromolecular crowding and confinement: biochemical, biophysical, and potential physiological consequences". Annu Rev Biophys. 37: 375–97. doi:10.1146/annurev.biophys.37.032807.125817. PMID 18573087.
  12. Zimmerman SB (1993). "Macromolecular crowding effects on macromolecular interactions: some implications for genome structure and function". Biochim. Biophys. Acta. 1216 (2): 175–85. PMID 8241257. Unknown parameter |month= ignored (help)
  13. Zimmerman SB, Harrison B (1987). "Macromolecular crowding increases binding of DNA polymerase to DNA: an adaptive effect". Proc. Natl. Acad. Sci. U.S.A. 84 (7): 1871–5. PMC 304543. PMID 3550799. Unknown parameter |month= ignored (help)
  14. van den Berg B, Wain R, Dobson CM, Ellis RJ (2000). "Macromolecular crowding perturbs protein refolding kinetics: implications for folding inside the cell". EMBO J. 19 (15): 3870–5. doi:10.1093/emboj/19.15.3870. PMC 306593. PMID 10921869. Unknown parameter |month= ignored (help)
  15. van den Berg B, Ellis RJ, Dobson CM (1999). "Effects of macromolecular crowding on protein folding and aggregation". EMBO J. 18 (24): 6927–33. doi:10.1093/emboj/18.24.6927. PMC 1171756. PMID 10601015. Unknown parameter |month= ignored (help)
  16. Ellis RJ, Minton AP (2006). "Protein aggregation in crowded environments". Biol. Chem. 387 (5): 485–97. doi:10.1515/BC.2006.064. PMID 16740119. Unknown parameter |month= ignored (help)
  17. Martin J, Hartl FU (1997). "The effect of macromolecular crowding on chaperonin-mediated protein folding". Proc. Natl. Acad. Sci. U.S.A. 94 (4): 1107–12. PMC 19752. PMID 9037014. Unknown parameter |month= ignored (help)
  18. Ellis RJ (2007). "Protein misassembly: macromolecular crowding and molecular chaperones". Adv. Exp. Med. Biol. 594: 1–13. PMID 17205670.
  19. Benedek GB (1997). "Cataract as a protein condensation disease: the Proctor Lecture". Invest. Ophthalmol. Vis. Sci. 38 (10): 1911–21. PMID 9331254. Unknown parameter |month= ignored (help)
  20. Steadman BL, Trautman PA, Lawson EQ; et al. (1989). "A differential scanning calorimetric study of the bovine lens crystallins". Biochemistry. 28 (25): 9653–8. PMID 2611254. Unknown parameter |month= ignored (help)
  21. Bloemendal H, de Jong W, Jaenicke R, Lubsen NH, Slingsby C, Tardieu A (2004). "Ageing and vision: structure, stability and function of lens crystallins". Prog. Biophys. Mol. Biol. 86 (3): 407–85. doi:10.1016/j.pbiomolbio.2003.11.012. PMID 15302206. Unknown parameter |month= ignored (help)
  22. Tokuriki N, Kinjo M, Negi S; et al. (2004). "Protein folding by the effects of macromolecular crowding". Protein Sci. 13 (1): 125–33. PMC 2286514. PMID 14691228. Unknown parameter |month= ignored (help)

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