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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 3: Proteome Characterization of a Chromatin Locus Using the Proteomics of Isolated Chromatin Segments Approach
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Chapter title
Proteome Characterization of a Chromatin Locus Using the Proteomics of Isolated Chromatin Segments Approach
Chapter number 3
Book title
Proteomics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6747-6_3
Pubmed ID
Book ISBNs
978-1-4939-6745-2, 978-1-4939-6747-6
Authors

Sophie L. Kan, Nehmé Saksouk, Jérome Déjardin

Editors

Lucio Comai, Jonathan E. Katz, Parag Mallick

Abstract

The biological functions of given genomic regions are ruled by the local chromatin composition. The Proteomics of Isolated Chromatin segments approach (PICh) is a powerful and unbiased method to analyze the composition of chosen chromatin segments, provided they are abundant (repeated) or that the organism studied has a small genome. PICh can be used to identify novel and unexpected regulatory factors, or when combined with quantitative mass spectrometric approaches, to characterize the function of a defined factor at the chosen locus, by quantifying composition changes at the locus upon removal/addition of that factor.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 5 11%
Student > Bachelor 4 9%
Student > Master 4 9%
Other 3 7%
Other 4 9%
Unknown 15 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 30%
Agricultural and Biological Sciences 7 16%
Medicine and Dentistry 4 9%
Computer Science 1 2%
Earth and Planetary Sciences 1 2%
Other 3 7%
Unknown 15 34%