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The Golgi Complex

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Cover of 'The Golgi Complex'

Table of Contents

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    Book Overview
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    Chapter 1 4D Confocal Imaging of Yeast Organelles
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    Chapter 2 Imaging the Polarized Sorting of Proteins from the Golgi Complex in Live Neurons
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    Chapter 3 Imaging Golgi Outposts in Fixed and Living Neurons
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    Chapter 4 Analysis of Arf1 GTPase-Dependent Membrane Binding and Remodeling Using the Exomer Secretory Vesicle Cargo Adaptor
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    Chapter 5 STEM Tomography Imaging of Hypertrophied Golgi Stacks in Mucilage-Secreting Cells
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    Chapter 6 Reconstitution of COPI Vesicle and Tubule Formation
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    Chapter 7 Reconstitution of Phospholipase A2-Dependent Golgi Membrane Tubules
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    Chapter 8 Proteomic Characterization of Golgi Membranes Enriched from Arabidopsis Suspension Cell Cultures
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    Chapter 9 High-Content Analysis of the Golgi Complex by Correlative Screening Microscopy
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    Chapter 10 Activity Detection of GalNAc Transferases by Protein-Based Fluorescence Sensors In Vivo
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    Chapter 11 In Situ Proximity Ligation Assay (PLA) Analysis of Protein Complexes Formed Between Golgi-Resident, Glycosylation-Related Transporters and Transferases in Adherent Mammalian Cell Cultures
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    Chapter 12 Creating Knockouts of Conserved Oligomeric Golgi Complex Subunits Using CRISPR-Mediated Gene Editing Paired with a Selection Strategy Based on Glycosylation Defects Associated with Impaired COG Complex Function
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    Chapter 13 Reversible Controlled Aggregation of Golgi Resident Enzymes to Assess Their Transport/Dynamics Along the Secretory Pathway
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    Chapter 14 Assays to Study the Fragmentation of the Golgi Complex During the G2–M Transition of the Cell Cycle
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    Chapter 15 The Role of Lysophospholipid Acyltransferases in the Golgi Complex
  17. Altmetric Badge
    Chapter 16 Methods to Purify and Assay Secretory Pathway Kinases
Attention for Chapter 5: STEM Tomography Imaging of Hypertrophied Golgi Stacks in Mucilage-Secreting Cells
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Chapter title
STEM Tomography Imaging of Hypertrophied Golgi Stacks in Mucilage-Secreting Cells
Chapter number 5
Book title
The Golgi Complex
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6463-5_5
Pubmed ID
27632001
Book ISBNs
978-1-4939-6461-1, 978-1-4939-6463-5
Authors

Byung-Ho Kang, Kang, Byung-Ho

Editors

William J. Brown

Abstract

Because of the weak penetrating power of electrons, the signal-to-noise ratio of a transmission electron micrograph (TEM) worsens as section thickness increases. This problem is alleviated by the use of the scanning transmission electron microscopy (STEM). Tomography analyses using STEM of thick sections from yeast and mammalian cells are of higher quality than are bright-field (BF) images. In this study, we compared regular BF tomograms and STEM tomograms from 500-nm thick sections from hypertrophied Golgi stacks of alfalfa root cap cells. Due to their thickness and intense heavy metal staining, BF tomograms of the thick sections suffer from poor contrast and high noise levels. We were able to mitigate these drawbacks by using STEM tomography. When we performed STEM tomography of densely stained chloroplasts of Arabidopsis cotyledon, we observed similar improvements relative to BF tomograms. A longer time is required to collect a STEM tilt series than similar BF TEM images, and dynamic autofocusing required for STEM imaging often fails at high tilt angles. Despite these limitations, STEM tomography is a powerful method for analyzing structures of large or dense organelles of plant cells.

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 September 2016.
All research outputs
#20,341,859
of 22,888,307 outputs
Outputs from Methods in molecular biology
#9,921
of 13,132 outputs
Outputs of similar age
#330,770
of 393,716 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
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So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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