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231224s2011 xx |||||o 00| ||eng c |
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|a 10.1093/jxb/err176
|2 doi
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|a pubmed25n0696.xml
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|a (NLM)21633081
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Mayhew, Terry M
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Quantifying immunogold localization on electron microscopic thin sections
|b a compendium of new approaches for plant cell biologists
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|c 2011
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 06.12.2011
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|a Date Revised 13.12.2023
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a A review is presented of recently developed methods for quantifying electron microscopical thin sections on which colloidal gold-labelled markers are used to identify and localize interesting molecules. These efficient methods rely on sound principles of random sampling, event counting, and statistical evaluation. Distributions of immunogold particles across cellular compartments can be compared within and between experimental groups. They can also be used to test for co-localization in multilabelling studies involving two or more sizes of gold particle. To test for preferential labelling of compartments, observed and expected gold particle distributions are compared by χ(2) analysis. Efficient estimators of gold labelling intensity [labelling density (LD) and/or relative labelling index (RLI)] are used to analyse volume-occupying compartments (e.g. Golgi vesicles) and/or surface-occupying compartments (e.g. cell membranes). Compartment size is estimated by counting chance events after randomly superimposing test lattices of points and/or line probes. RLI=1 when there is random labelling and RLI >1 when there is preferential labelling. Between-group comparisons do not require information about compartment size but, instead, raw gold particle counts in different groups are compared by combining χ(2) and contingency table analyses. These tests may also be used to assess co-distribution of different sized gold particles in compartments. Testing for co-labelling involves identifying sets of compartmental profiles that are unlabelled and labelled for one or both of two gold marker sizes. Numbers of profiles in each labelling set are compared by contingency table analysis and χ(2) analysis or Fisher's exact probability test. The various methods are illustrated with worked examples based on empirical and synthetic data and will be of practical benefit to those applying single or multiple immunogold labelling in their research
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|a Journal Article
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|a Recombinant Fusion Proteins
|2 NLM
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|a Green Fluorescent Proteins
|2 NLM
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|a 147336-22-9
|2 NLM
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|a Galactosyltransferases
|2 NLM
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| 650 |
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|a EC 2.4.1.-
|2 NLM
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|a MUR3 protein, Arabidopsis
|2 NLM
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| 650 |
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|a EC 2.4.1.-
|2 NLM
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| 650 |
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|a Glutathione
|2 NLM
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| 650 |
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|a GAN16C9B8O
|2 NLM
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| 773 |
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|i Enthalten in
|t Journal of experimental botany
|d 1985
|g 62(2011), 12 vom: 07. Aug., Seite 4101-13
|w (DE-627)NLM098182706
|x 1460-2431
|7 nnns
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|g volume:62
|g year:2011
|g number:12
|g day:07
|g month:08
|g pages:4101-13
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| 856 |
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|u http://dx.doi.org/10.1093/jxb/err176
|3 Volltext
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