Two-dimensional gel electrophoresis explained

Two-dimensional gel electrophoresis, abbreviated as 2-DE or 2-D electrophoresis, is a form of gel electrophoresis commonly used to analyze proteins. Mixtures of proteins are separated by two properties in two dimensions on 2D gels. 2-DE was first independently introduced by O'Farrell[1] and Klose[2] in 1975.

Basis for separation

2-D electrophoresis begins with electrophoresis in the first dimension and then separates the molecules perpendicularly from the first to create an electropherogram in the second dimension. In electrophoresis in the first dimension, molecules are separated linearly according to their isoelectric point. In the second dimension, the molecules are then separated at 90 degrees from the first electropherogram according to molecular mass. Since it is unlikely that two molecules will be similar in two distinct properties, molecules are more effectively separated in 2-D electrophoresis than in 1-D electrophoresis.

The two dimensions that proteins are separated into using this technique can be isoelectric point, protein complex mass in the native state, or protein mass.

Detecting proteins

The result of this is a gel with proteins spread out on its surface. These proteins can then be detected by a variety of means, but the most commonly used stains are silver and Coomassie brilliant blue staining. In the former case, a silver colloid is applied to the gel. The silver binds to cysteine groups within the protein. The silver is darkened by exposure to ultra-violet light. The amount of silver can be related to the darkness, and therefore the amount of protein at a given location on the gel. This measurement can only give approximate amounts, but is adequate for most purposes. Silver staining is 100x more sensitive than Coomassie brilliant blue with a 40-fold range of linearity.[3]

Molecules other than proteins can be separated by 2D electrophoresis. In supercoiling assays, coiled DNA is separated in the first dimension and denatured by a DNA intercalator (such as ethidium bromide or the less carcinogenic chloroquine) in the second. This is comparable to the combination of native PAGE/SDS-PAGE in protein separation.

Common techniques

IPG-DALT

A common technique is to use an Immobilized pH gradient (IPG) in the first dimension. This technique is referred to as IPG-DALT. The sample is first separated onto IPG gel (which is commercially available) then the gel is cut into slices for each sample which is then equilibrated in SDS-mercaptoethanol and applied to an SDS-PAGE gel for resolution in the second dimension. Typically IPG-DALT is not used for quantification of proteins due to the loss of low molecular weight components during the transfer to the SDS-PAGE gel.[4]

IEF SDS-PAGE

See Isoelectric focusing

2D gel analysis software

In quantitative proteomics, these tools primarily analyze bio-markers by quantifying individual proteins, and showing the separation between one or more protein "spots" on a scanned image of a 2-DE gel. Additionally, these tools match spots between gels of similar samples to show, for example, proteomic differences between early and advanced stages of an illness. Software packages include Delta2D (discontinued), ImageMaster (discontinued), Melanie, PDQuest (discontinued), SameSpots and REDFIN – among others. While this technology is widely utilized, the intelligence has not been perfected. For example, while PDQuest and SameSpots tend to agree on the quantification and analysis of well-defined well-separated protein spots, they deliver different results and analysis tendencies with less-defined less-separated spots.[5] Comparative studies have previously been published to guide researchers on the "best" software for their analysis.[6] Although typically used for standard gel electrophoresis, Sciugo can also be used for figure-creation and quantification.

Challenges for automatic software-based analysis include incompletely separated (overlapping) spots (less-defined or separated), weak spots / noise (e.g., "ghost spots"), running differences between gels (e.g., protein migrates to different positions on different gels), unmatched/undetected spots, leading to missing values,[7] [8] mismatched spots, errors in quantification (several distinct spots may be erroneously detected as a single spot by the software and parts of a spot may be excluded from quantification), and differences in software algorithms and therefore analysis tendencies

Generated picking lists can be exported from some software packages[9] and used for the automated in-gel digestion of protein spots, and subsequent identification of the proteins by mass spectrometry. Mass spectrometry analysis can identify precise mass measurements along with the sequencing of peptides that range from 1000–4000 atomic mass units.[10] For an overview of the current approach for software analysis of 2DE gel images, see Berth et al.[11] or Bandow et al.[12]

See also

External links

Notes and References

  1. O'Farrell, PH . 1975 . High resolution two-dimensional electrophoresis of proteins . J. Biol. Chem. . 250 . 4007–21 . 2874754 . 236308 . 10. 10.1016/S0021-9258(19)41496-8 . free .
  2. 1093965. 1975. Klose. J. Protein mapping by combined isoelectric focusing and electrophoresis of mouse tissues. A novel approach to testing for induced point mutations in mammals. Humangenetik. 26. 3. 231–43. 10.1007/bf00281458. 30981877 . subscription.
  3. Switzer RC 3rd, Merril CR, Shifrin S . A highly sensitive silver stain for detecting proteins and peptides in polyacrylamide gels . Analytical Biochemistry . 1979 . 98 . 231–37 . 94518 . 10.1016/0003-2697(79)90732-2 . 1.
  4. Book: Mikkelsen . Susan . Cortón . Eduardo. Bioanalytical Chemistry . limited . 2004 . John Wiley & Sons, Inc. . 978-0-471-62386-1 . 224.
  5. Arora PS, Yamagiwa H, Srivastava A, Bolander ME, Sarkar G . Comparative evaluation of two two-dimensional gel electrophoresis image analysis software applications using synovial fluids from patients with joint disease . J Orthop Sci . 10 . 2 . 160–66 . 2005 . 15815863 . 10.1007/s00776-004-0878-0 . 45193214 .
  6. Kang . Yunyi . Techanukul . Tanasit . Mantalaris . Anthanasios . Nagy . Judit M. . February 2009 . Comparison of three commercially available DIGE analysis software packages: minimal user intervention in gel-based proteomics . Journal of Proteome Research . 8 . 2 . 1077–1084 . 10.1021/pr800588f . 1535-3893 . 19133722.
  7. Pedreschi R, Hertog ML, Carpentier SC, etal . Treatment of missing values for multivariate statistical analysis of gel-based proteomics data . Proteomics . 8 . 7 . 1371–83 . April 2008 . 18383008 . 10.1002/pmic.200700975 . 1942/8262 . 21152053 . free .
  8. https://web.archive.org/web/20150312131240/http://www.totallab.com/products/samespots/support/faq/missing-values.aspx What are missing values, and why are they a problem?
  9. Web site: 2-D Gel Electrophoresis Proteomics Analysis Software SameSpots . 2024-07-08 . TotalLab . en.
  10. Lepedda, Antonio J, and Marilena Formato. "Applications of Two-Dimensional Electrophoresis Technology to the Study of Atherosclerosis." EJIFCC vol. 19,3 146–159. 20 Dec. 2008
  11. Berth M, Moser FM, Kolbe M, Bernhardt J . The state of the art in the analysis of two-dimensional gel electrophoresis images . Appl. Microbiol. Biotechnol. . 76 . 6 . 1223–43 . October 2007 . 17713763 . 2279157 . 10.1007/s00253-007-1128-0 .
  12. Bandow JE, Baker JD, Berth M, etal . Improved image analysis workflow for 2-D gels enables large-scale 2-D gel-based proteomics studies--COPD biomarker discovery study . Proteomics . 8 . 15 . 3030–41 . August 2008 . 18618493 . 10.1002/pmic.200701184 . 206361897 .