Literature DB >> 15135242

A simple method for comparing immunogold distributions in two or more experimental groups illustrated using GLUT1 labelling of isolated trophoblast cells.

T M Mayhew1, G Desoye.   

Abstract

Colloidal gold-labelling, combined with transmission electron microscopy, is a valuable technique for high-resolution immunolocalization of identified antigens in different subcellular compartments. Whilst the technique has been applied to placental tissues, few quantitative studies have been made. Subcellular compartments exist in three main categories (viz. organelles, membranes, filaments/tubules) and this affects the possibilities for quantification. Generally, gold particles are counted in order to compare either (a) compartments within an experimental group or (b) compartmental labelling distributions between groups. For the former, recent developments make it possible to test whether or not there is differential (nonrandom) labelling of compartments. The methods (relative labelling index and labelling density) are ideally suited to analysing label in one category of compartment (organelle or membrane or filament) but may be adapted to deal with a mixture of categories. They also require information about compartment size (e.g. profile area or trace length). Here, a simple and efficient method for drawing between-group comparisons of labelling distributions is presented. The method does not require information about compartment size or specimen magnification. It relies on multistage random sampling of specimens and unbiased counting of gold particles associated with different compartments. Distributions of observed gold counts in different experimental groups are compared by contingency table analysis with degrees of freedom for chi-squared (chi(2)) values being determined by the numbers of compartments and experimental groups. Compartmental values of chi(2)which contribute substantially to total chi(2)identify the principal subcellular sites of between-group differences. The method is illustrated using datasets from immunolabelling studies on the localization of GLUT1 glucose transporters in cultured human trophoblast cells exposed to different treatments.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15135242     DOI: 10.1016/j.placenta.2003.12.002

Source DB:  PubMed          Journal:  Placenta        ISSN: 0143-4004            Impact factor:   3.481


  7 in total

Review 1.  Mapping the distributions and quantifying the labelling intensities of cell compartments by immunoelectron microscopy: progress towards a coherent set of methods.

Authors:  Terry M Mayhew
Journal:  J Anat       Date:  2011-10-17       Impact factor: 2.610

2.  Quantifying immunogold labelling patterns of cellular compartments when they comprise mixtures of membranes (surface-occupying) and organelles (volume-occupying).

Authors:  Terry M Mayhew; John M Lucocq
Journal:  Histochem Cell Biol       Date:  2008-01-05       Impact factor: 4.304

3.  Multiple-labelling immunoEM using different sizes of colloidal gold: alternative approaches to test for differential distribution and colocalization in subcellular structures.

Authors:  Terry M Mayhew; John M Lucocq
Journal:  Histochem Cell Biol       Date:  2011-02-16       Impact factor: 4.304

4.  From gross anatomy to the nanomorphome: stereological tools provide a paradigm for advancing research in quantitative morphomics.

Authors:  Terry M Mayhew; John M Lucocq
Journal:  J Anat       Date:  2015-03-09       Impact factor: 2.610

Review 5.  A stereological perspective on placental morphology in normal and complicated pregnancies.

Authors:  Terry M Mayhew
Journal:  J Anat       Date:  2008-01-02       Impact factor: 2.610

Review 6.  Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review.

Authors:  Terry M Mayhew; John M Lucocq
Journal:  Histochem Cell Biol       Date:  2008-06-14       Impact factor: 4.304

7.  Cryo-immunogold electron microscopy for prions: toward identification of a conversion site.

Authors:  Susan F Godsave; Holger Wille; Pekka Kujala; Diane Latawiec; Stephen J DeArmond; Ana Serban; Stanley B Prusiner; Peter J Peters
Journal:  J Neurosci       Date:  2008-11-19       Impact factor: 6.167

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.