Cargando…

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

Quantitative immunoelectron microscopy uses ultrathin sections and gold particle labelling to determine distributions of molecules across cell compartments. Here, we review a portfolio of new methods for comparing labelling distributions between different compartments in one study group (method 1) a...

Descripción completa

Detalles Bibliográficos
Autores principales: Mayhew, Terry M., Lucocq, John M.
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2491712/
https://www.ncbi.nlm.nih.gov/pubmed/18553098
http://dx.doi.org/10.1007/s00418-008-0451-6
_version_ 1782158188335857664
author Mayhew, Terry M.
Lucocq, John M.
author_facet Mayhew, Terry M.
Lucocq, John M.
author_sort Mayhew, Terry M.
collection PubMed
description Quantitative immunoelectron microscopy uses ultrathin sections and gold particle labelling to determine distributions of molecules across cell compartments. Here, we review a portfolio of new methods for comparing labelling distributions between different compartments in one study group (method 1) and between the same compartments in two or more groups (method 2). Specimen samples are selected unbiasedly and then observed and expected distributions of gold particles are estimated and compared by appropriate statistical procedures. The methods can be used to analyse gold label distributed between volume-occupying (organelle) and surface-occupying (membrane) compartments, but in method 1, membranes must be treated as organelles. With method 1, gold counts are combined with stereological estimators of compartment size to determine labelling density (LD). For volume-occupiers, LD can be expressed simply as golds per test point and, for surface-occupiers, as golds per test line intersection. Expected distributions are generated by randomly assigning gold particles to compartments and expressing observed/expected counts as a relative labelling index (RLI). Preferentially-labelled compartments are identified from their RLI values and by Chi-squared analysis of observed and expected distributions. For method 2, the raw gold particle counts distributed between compartments are simply compared across groups by contingency table and Chi-squared analysis. This identifies the main compartments responsible for the differences between group distributions. Finally, we discuss labelling efficiency (the number of gold particles per target molecule) and describe how it can be estimated for volume- or surface-occupiers by combining stereological data with biochemical determinations.
format Text
id pubmed-2491712
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher Springer-Verlag
record_format MEDLINE/PubMed
spelling pubmed-24917122008-07-31 Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review Mayhew, Terry M. Lucocq, John M. Histochem Cell Biol Review Quantitative immunoelectron microscopy uses ultrathin sections and gold particle labelling to determine distributions of molecules across cell compartments. Here, we review a portfolio of new methods for comparing labelling distributions between different compartments in one study group (method 1) and between the same compartments in two or more groups (method 2). Specimen samples are selected unbiasedly and then observed and expected distributions of gold particles are estimated and compared by appropriate statistical procedures. The methods can be used to analyse gold label distributed between volume-occupying (organelle) and surface-occupying (membrane) compartments, but in method 1, membranes must be treated as organelles. With method 1, gold counts are combined with stereological estimators of compartment size to determine labelling density (LD). For volume-occupiers, LD can be expressed simply as golds per test point and, for surface-occupiers, as golds per test line intersection. Expected distributions are generated by randomly assigning gold particles to compartments and expressing observed/expected counts as a relative labelling index (RLI). Preferentially-labelled compartments are identified from their RLI values and by Chi-squared analysis of observed and expected distributions. For method 2, the raw gold particle counts distributed between compartments are simply compared across groups by contingency table and Chi-squared analysis. This identifies the main compartments responsible for the differences between group distributions. Finally, we discuss labelling efficiency (the number of gold particles per target molecule) and describe how it can be estimated for volume- or surface-occupiers by combining stereological data with biochemical determinations. Springer-Verlag 2008-06-14 2008-08 /pmc/articles/PMC2491712/ /pubmed/18553098 http://dx.doi.org/10.1007/s00418-008-0451-6 Text en © Springer-Verlag 2008
spellingShingle Review
Mayhew, Terry M.
Lucocq, John M.
Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review
title Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review
title_full Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review
title_fullStr Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review
title_full_unstemmed Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review
title_short Developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review
title_sort developments in cell biology for quantitative immunoelectron microscopy based on thin sections: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2491712/
https://www.ncbi.nlm.nih.gov/pubmed/18553098
http://dx.doi.org/10.1007/s00418-008-0451-6
work_keys_str_mv AT mayhewterrym developmentsincellbiologyforquantitativeimmunoelectronmicroscopybasedonthinsectionsareview
AT lucocqjohnm developmentsincellbiologyforquantitativeimmunoelectronmicroscopybasedonthinsectionsareview