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Proteomics

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Cover of 'Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 A Robust Protocol for Protein Extraction and Digestion
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    Chapter 2 Improving Proteome Coverage and Sample Recovery with Enhanced FASP (eFASP) for Quantitative Proteomic Experiments
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    Chapter 3 Proteome Characterization of a Chromatin Locus Using the Proteomics of Isolated Chromatin Segments Approach
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    Chapter 4 Profiling Cell Lines Nuclear Sub-proteome
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    Chapter 5 Optimized Enrichment of Phosphoproteomes by Fe-IMAC Column Chromatography
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    Chapter 6 Full Membrane Protein Coverage Digestion and Quantitative Bottom-Up Mass Spectrometry Proteomics
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    Chapter 7 Hydrophilic Strong Anion Exchange (hSAX) Chromatography Enables Deep Fractionation of Tissue Proteomes
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    Chapter 8 High pH Reversed-Phase Micro-Columns for Simple, Sensitive, and Efficient Fractionation of Proteome and (TMT labeled) Phosphoproteome Digests
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    Chapter 9 Multi-Lectin Affinity Chromatography for Separation, Identification, and Quantitation of Intact Protein Glycoforms in Complex Biological Mixtures
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    Chapter 10 Parallel Exploration of Interaction Space by BioID and Affinity Purification Coupled to Mass Spectrometry
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    Chapter 11 LUMIER: A Discovery Tool for Mammalian Protein Interaction Networks
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    Chapter 12 Dual-Color, Multiplex Analysis of Protein Microarrays for Precision Medicine
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    Chapter 13 Quantitative Proteomics Using SILAC
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    Chapter 14 Relative Protein Quantification Using Tandem Mass Tag Mass Spectrometry
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    Chapter 15 Pathway-Informed Discovery and Targeted Proteomic Workflows Using Mass Spectrometry
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    Chapter 16 Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers
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    Chapter 17 Annotating Mutational Effects on Proteins and Protein Interactions: Designing Novel and Revisiting Existing Protocols
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    Chapter 18 Protein Micropatterning Assay: Quantitative Analysis of Protein–Protein Interactions
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    Chapter 19 Designing Successful Proteomics Experiments
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    Chapter 20 Automated SWATH Data Analysis Using Targeted Extraction of Ion Chromatograms
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    Chapter 21 Virtualization of Legacy Instrumentation Control Computers for Improved Reliability, Operational Life, and Management
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    Chapter 22 Statistical Assessment of QC Metrics on Raw LC-MS/MS Data
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    Chapter 23 Data Conversion with ProteoWizard msConvert
Attention for Chapter 11: LUMIER: A Discovery Tool for Mammalian Protein Interaction Networks
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Chapter title
LUMIER: A Discovery Tool for Mammalian Protein Interaction Networks
Chapter number 11
Book title
Proteomics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6747-6_11
Pubmed ID
Book ISBNs
978-1-4939-6745-2, 978-1-4939-6747-6
Authors

Miriam Barrios-Rodiles, Jonathan D. Ellis, Benjamin J. Blencowe, Jeffrey L. Wrana Ph.D., F.R.S.C., Jeffrey L. Wrana

Editors

Lucio Comai, Jonathan E. Katz, Parag Mallick

Abstract

Protein-protein interactions (PPIs) play an essential role in all biological processes. In vivo, PPIs occur dynamically and depend on extracellular cues. To discover novel protein-protein interactions in mammalian cells, we developed a high-throughput automated technology called LUMIER (LUminescence-based Mammalian IntERactome). In this approach, we co-express a Luciferase (LUC)-tagged fusion protein along with a Flag-tagged protein in an efficiently transfectable cell line such as HEK-293T cells. The interaction between the two proteins is determined by co-immunoprecipitation using an anti-Flag antibody, and the presence of the LUC-tagged interactor in the complex is subsequently detected via its luciferase activity. LUMIER can easily detect transmembrane protein partners, interactions that are signaling- or splice isoform-dependent, as well as those that may occur only in the presence of posttranslational modifications. Using various collections of Flag-tagged proteins, we have generated protein interaction networks for several TGF-β family receptors, Wnt pathway members, and have systematically analyzed the effect of neural-specific alternative splicing on protein interaction networks. The results have provided important insights into the physiological and functional relevance of some of the novel interactions found. LUMIER is highly scalable and can be used for both low- and high-throughput strategies. LUMIER is thus a valuable tool for the identification and characterization of dynamically regulated PPIs in mammalian systems. Here, we describe a manual version of LUMIER in a 96-well format that can be easily implemented in any laboratory.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Researcher 4 15%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Professor 2 7%
Other 3 11%
Unknown 8 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 30%
Chemistry 3 11%
Agricultural and Biological Sciences 3 11%
Medicine and Dentistry 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 1 4%
Unknown 9 33%