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Proteomic Profiling

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Cover of 'Proteomic Profiling'

Table of Contents

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    Book Overview
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    Chapter 1 Mechanical/Physical Methods of Cell Distribution and Tissue Homogenization
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    Chapter 2 Sample Preservation Through Heat Stabilization of Proteins: Principles and Examples
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    Chapter 3 Isolating Peripheral Lymphocytes by Density Gradient Centrifugation and Magnetic Cell Sorting
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    Chapter 4 Investigating the Adipose Tissue Secretome: A Protocol to Generate High-Quality Samples Appropriate for Comprehensive Proteomic Profiling
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    Chapter 5 Methods for proteomics-based analysis of the human muscle secretome using an in vitro exercise model.
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    Chapter 6 Urinary Pellet Sample Preparation for Shotgun Proteomic Analysis of Microbial Infection and Host–Pathogen Interactions
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    Chapter 7 A Protocol for the Parallel Isolation of Intact Mitochondria from Rat Liver, Kidney, Heart, and Brain
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    Chapter 8 Isolation of Mitochondria from Cultured Cells and Liver Tissue Biopsies for Molecular and Biochemical Analyses
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    Chapter 9 Dynamic Range Compression with ProteoMiner™: Principles and Examples
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    Chapter 10 Qualitative and Quantitative Proteomic Analysis of Formalin-Fixed Paraffin-Embedded (FFPE) Tissue
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    Chapter 11 Full-Length Protein Extraction Protocols and Gel-Based Downstream Applications in Formalin-Fixed Tissue Proteomics
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    Chapter 12 Enrichment of Low-Abundant Protein Targets by Immunoprecipitation Upstream of Mass Spectrometry
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    Chapter 13 Principles of Protein Labeling Techniques
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    Chapter 14 Isolation of extracellular vesicles for proteomic profiling.
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    Chapter 15 A Protocol for Exosome Isolation and Characterization: Evaluation of Ultracentrifugation, Density-Gradient Separation, and Immunoaffinity Capture Methods
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    Chapter 16 Chloroplast Isolation and Affinity Chromatography for Enrichment of Low-Abundant Proteins in Complex Proteomes
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    Chapter 17 Depletion of RuBisCO Protein Using the Protamine Sulfate Precipitation Method
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    Chapter 18 Step-by-Step Preparation of Proteins for Mass Spectrometric Analysis
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    Chapter 19 Identification of Protein N-Termini Using TMPP or Dimethyl Labeling and Mass Spectrometry
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    Chapter 20 Optimization of Cell Lysis and Protein Digestion Protocols for Protein Analysis by LC-MS/MS
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    Chapter 21 Comprehensive Protocol to Simultaneously Study Protein Phosphorylation, Acetylation, and N-Linked Sialylated Glycosylation
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    Chapter 22 Protein Profiling and Phosphoprotein Analysis by Isoelectric Focusing
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    Chapter 23 Principles and Examples of Gel-Based Approaches for Phosphoprotein Analysis
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    Chapter 24 Neutral Phosphate-Affinity SDS-PAGE System for Profiling of Protein Phosphorylation
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    Chapter 25 Proteomic Profiling
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    Chapter 26 In-Gel Peptide IEF Sample Preparation for LC/MS Analysis
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    Chapter 27 Proteomic Profiling
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    Chapter 28 2-D Western Blotting for Evaluation of Antibodies Developed for Detection of Host Cell Protein
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    Chapter 29 Free Flow Electrophoresis for Separation of Native Membrane Protein Complexes
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    Chapter 30 Three-Dimensional Electrophoresis for Quantitative Profiling of Complex Proteomes
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    Chapter 31 A Bead-Based Multiplex Sandwich Immunoassay to Assess the Abundance and Posttranslational Modification State of β-Catenin
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    Chapter 32 Identification of SUMO E3 Ligase-Specific Substrates Using the HuProt Human Proteome Microarray.
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    Chapter 33 Amyloid-binding proteins: affinity-based separation, proteomic identification, and optical biosensor validation.
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    Chapter 34 Proteomic profiling by nanomaterials-based matrix-assisted laser desorption/ionization mass spectrometry for high-resolution data and novel protein information directly from biological samples.
Attention for Chapter 6: Urinary Pellet Sample Preparation for Shotgun Proteomic Analysis of Microbial Infection and Host–Pathogen Interactions
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Chapter title
Urinary Pellet Sample Preparation for Shotgun Proteomic Analysis of Microbial Infection and Host–Pathogen Interactions
Chapter number 6
Book title
Proteomic Profiling
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2550-6_6
Pubmed ID
Book ISBNs
978-1-4939-2549-0, 978-1-4939-2550-6
Authors

Yanbao Yu, Rembert Pieper

Abstract

Urine is one of the most important biofluids in clinical proteomics, and in the past decades many potential disease biomarkers have been identified using mass spectrometry-based proteomics. Current studies mainly perform analyses of the urine supernatant devoid of cells and cell debris, and the pellet (or sediment) fraction is discarded. However, the pellet fraction is biologically of interest. It may contain whole human cells shed into the urine from anatomically proximal tissues and organs (e.g., kidney, prostate, bladder, urothelium, and genitals), disintegrated cells and cell aggregates derived from such tissues, viruses and microbial organisms which colonize or infect the urogenital tract. Knowledge of the function, abundance, and tissue of origin of such proteins can explain a pathological process, identify a microbe as the cause of urinary tract infection, and measure the human immune response to the infection-associated pathogen(s). Successful detection of microbial species in the urinary pellet via proteomics can serve as a clinical diagnostic alternative to traditional cell culture-based laboratory tests. Filter-aided sample preparation (FASP) has been widely used in shotgun proteomics. The methodology presented here implements an effective lysis of cells present in urinary pellets, solubilizes the majority of the proteins derived from microbial and human cells, and generates enzymatic digestion-compatible protein mixtures using FASP followed by optimized desalting procedures to provide a peptide fraction for sensitive and comprehensive LC-MS/MS analysis. A highly parallel sample preparation method in 96-well plates to allow scaling up such experiments is discussed as well. Separating peptides by nano-LC in one dimension followed by online MS/MS analysis on a Q-Exactive mass spectrometer, we have shown that more than 1,000 distinct microbial proteins and 1,000 distinct human proteins can be identified from a single experiment.

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Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Student > Ph. D. Student 3 14%
Researcher 2 10%
Other 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 9 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 24%
Medicine and Dentistry 3 14%
Nursing and Health Professions 1 5%
Unknown 12 57%