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The Mitotic Exit Network

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Cover of 'The Mitotic Exit Network'

Table of Contents

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    Book Overview
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    Chapter 1 Regulation of Mitotic Exit in Saccharomyces cerevisiae
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    Chapter 2 Methods of Synchronization of Yeast Cells for the Analysis of Cell Cycle Progression
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    Chapter 3 Analysis of Cell Cycle Progression in Saccharomyces cerevisiae Using the Budding Index and Tubulin Staining
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    Chapter 4 Determination of Cell Cycle Stage and Mitotic Exit Through the Quantification of the Protein Levels of Known Mitotic Regulators
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    Chapter 5 Cdc14 Localization as a Marker for Mitotic Exit: In Vivo Quantitative Analysis of Cdc14 Release
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    Chapter 6 In Vitro Analysis of Tem1 GTPase Activity and Regulation by the Bfa1/Bub2 GAP
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    Chapter 7 Analysis of Protein–Protein Interactions Between MEN Components
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    Chapter 8 A New Methodology for the Quantification of In Vivo Cdc14 Phosphatase Activity
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    Chapter 9 Analysis of SUMOylation in the RENT Complex by Fusion to a SUMO-Specific Protease Domain
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    Chapter 10 A Substrate Trapping Method for Identification of Direct Cdc14 Phosphatase Targets
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    Chapter 11 Localizing MEN Components by Indirect Immunofluorescence Analysis of Budding Yeast
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    Chapter 12 The Mitotic Exit Network
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    Chapter 13 Evaluation of the Dynamicity of Mitotic Exit Network and Spindle Position Checkpoint Components on Spindle Pole Bodies by Fluorescence Recovery After Photobleaching (FRAP)
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    Chapter 14 Asymmetric Localization of Components and Regulators of the Mitotic Exit Network at Spindle Pole Bodies
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    Chapter 15 Evaluation of the Nucleolar Localization of the RENT Complex to Ribosomal DNA by Chromatin Immunoprecipitation Assays
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    Chapter 16 Analysis of the Functionality of the Mitotic Checkpoints
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    Chapter 17 Cdc14 and Chromosome Condensation: Evaluation of the Recruitment of Condensin to Genomic Regions
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    Chapter 18 Studying the Role of the Mitotic Exit Network in Cytokinesis
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    Chapter 19 Hippo Signaling in Mitosis: An Updated View in Light of the MEN Pathway
Attention for Chapter 9: Analysis of SUMOylation in the RENT Complex by Fusion to a SUMO-Specific Protease Domain
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Chapter title
Analysis of SUMOylation in the RENT Complex by Fusion to a SUMO-Specific Protease Domain
Chapter number 9
Book title
The Mitotic Exit Network
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6502-1_9
Pubmed ID
Book ISBNs
978-1-4939-6500-7, 978-1-4939-6502-1
Authors

Neus Colomina, Clàudia Guasch, Jordi Torres-Rosell, Colomina, Neus, Guasch, Clàudia, Torres-Rosell, Jordi

Abstract

Protein sumoylation is a reversible posttranslational modification that controls multiple processes during cell cycle progression. Frequently, SUMO synergistically targets various subunits in a protein complex to modulate its function, leading to what has been defined as protein group sumoylation. Different subunits in the RENT (regulator of nucleolar silencing and telophase) complex, including Net1, Sir2, and Cdc14, can be coupled to SUMO, making it difficult to ascertain the role of this modification. Here we describe a method to downregulate sumoylation in RENT, consisting in the fusion of a catalytic domain of the Ulp1 SUMO protease (Ulp Domain; UD) to the C-terminus of members in the complex using epitope tags as linkers. Targeting of the UD to specific loci can be simplified by transformation of PCR-amplified cassettes. The presence of the UD in the complex allows the concurrent downregulation of sumoylated species in the RENT complex, what can be easily monitored by pull-down of SUMO conjugates. This methodology can be applied to other protein complexes exhibiting group sumoylation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Bachelor 2 15%
Student > Master 2 15%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Other 2 15%
Unknown 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 46%
Biochemistry, Genetics and Molecular Biology 4 31%
Computer Science 1 8%
Environmental Science 1 8%
Unknown 1 8%