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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 15: Pathway-Informed Discovery and Targeted Proteomic Workflows Using Mass Spectrometry
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Chapter title
Pathway-Informed Discovery and Targeted Proteomic Workflows Using Mass Spectrometry
Chapter number 15
Book title
Proteomics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6747-6_15
Pubmed ID
Book ISBNs
978-1-4939-6745-2, 978-1-4939-6747-6
Authors

Caroline S. Chu, Christine A. Miller, Andy Gieschen, Steve M. Fischer

Editors

Lucio Comai, Jonathan E. Katz, Parag Mallick

Abstract

Recent advancements in mass spectrometry (MS) and data analysis software have enabled new strategies for biological discovery using proteomics. Proteomics has evolved from routine discovery and identification of proteins to integrated multi-omics projects relating specific proteins to their genes and metabolites. Using additional information, such as that contained in biological pathways, has enabled the use of targeted protein quantitation for monitoring fold changes in expression as well as biomarker discovery. Here we discuss a full proteomic workflow from discovery proteomics on a quadrupole Time-of-Flight (Q-TOF) MS to targeted proteomics using a triple quadrupole (QQQ) MS. A discovery proteomics workflow encompassing acquisition of data-dependent proteomics data on a Q-TOF and protein database searching will be described which uses the protein abundances from identified proteins for subsequent statistical analysis and pathway visualization. From the active pathways, a protein target list is created for use in a peptide-based QQQ assay. These peptides are used as surrogates for target protein quantitation. Peptide-based QQQ assays provide sensitivity and selectivity allowing rapid and robust analysis of large batches of samples. These quantitative results are then statistically compared and visualized on the original biological pathways with a more complete coverage of proteins in the studied pathways.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Bachelor 2 22%
Unspecified 1 11%
Unknown 3 33%
Readers by discipline Count As %
Medicine and Dentistry 2 22%
Unspecified 1 11%
Agricultural and Biological Sciences 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 4 44%