Literature DB >> 25403623

Quantitative immunocytochemistry at the ultrastructural level: a stereology-based approach to molecular nanomorphomics.

Terry M Mayhew1.   

Abstract

Biological systems span multiple levels of structural organisation from the macroscopic, via the microscopic, to the nanoscale. Therefore, comprehensive investigation of systems biology requires application of imaging modalities that reveal structure at multiple resolution scales. Nanomorphomics is the part of morphomics devoted to the systematic study of functional morphology at the nanoscale and an important element of its achievement is the combination of immunolabelling and transmission electron microscopy (TEM). The ultimate goal of quantitative immunocytochemistry is to estimate numbers of target molecules (usually peptides, proteins or protein complexes) in biological systems and to map their spatial distributions within them. Immunogold cytochemistry utilises target-specific affinity markers (primary antibodies) and visualisation aids (e.g., colloidal gold particles or silver-enhanced nanogold particles) to detect and localise target molecules at high resolution in intact cells and tissues. In the case of post-embedding labelling of ultrathin sections for TEM, targets are localised as a countable digital readout by using colloidal gold particles. The readout comprises a spatial distribution of gold particles across the section and within the context of biological ultrastructure. The observed distribution across structural compartments (whether volume- or surface-occupying) represents both specific and non-specific labelling; an assessment by eye alone as to whether the distribution is random or non-random is not always possible. This review presents a coherent set of quantitative methods for testing whether target molecules exhibit preferential and specific labelling of compartments and for mapping the same targets in two or more groups of cells as their TEM immunogold-labelling patterns alter after experimental manipulation. The set also includes methods for quantifying colocalisation in multiple-labelling experiments and mapping absolute numbers of colloidal gold particles across compartments at specific positions within cells having a point-like inclusion (e.g., centrosome, nucleolus) and a definable vertical axis. Although developed for quantifying colloidal gold particles, the same methods can in principle be used to quantify other electron-dense punctate nanoparticles, including quantum dots.

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Year:  2014        PMID: 25403623     DOI: 10.1007/s00441-014-2038-y

Source DB:  PubMed          Journal:  Cell Tissue Res        ISSN: 0302-766X            Impact factor:   5.249


  5 in total

Review 1.  Using electron microscopes to look into the lung.

Authors:  Matthias Ochs; Lars Knudsen; Jan Hegermann; Christoph Wrede; Roman Grothausmann; Christian Mühlfeld
Journal:  Histochem Cell Biol       Date:  2016-09-29       Impact factor: 4.304

2.  Quantitative techniques for imaging cells and tissues.

Authors:  Christopher S von Bartheld; Fred S Wouters
Journal:  Cell Tissue Res       Date:  2015-04       Impact factor: 5.249

3.  FLIPPER, a combinatorial probe for correlated live imaging and electron microscopy, allows identification and quantitative analysis of various cells and organelles.

Authors:  Jeroen Kuipers; Tjakko J van Ham; Ruby D Kalicharan; Anneke Veenstra-Algra; Klaas A Sjollema; Freark Dijk; Ulrike Schnell; Ben N G Giepmans
Journal:  Cell Tissue Res       Date:  2015-03-19       Impact factor: 5.249

4.  Neurostereology protocol for unbiased quantification of neuronal injury and neurodegeneration.

Authors:  Victoria M Golub; Jonathan Brewer; Xin Wu; Ramkumar Kuruba; Jenessa Short; Maunica Manchi; Megan Swonke; Iyan Younus; Doodipala Samba Reddy
Journal:  Front Aging Neurosci       Date:  2015-10-31       Impact factor: 5.750

5.  Colocalization coefficients evaluating the distribution of molecular targets in microscopy methods based on pointed patterns.

Authors:  Lukáš Pastorek; Margarita Sobol; Pavel Hozák
Journal:  Histochem Cell Biol       Date:  2016-07-26       Impact factor: 4.304

  5 in total

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