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Functional Proteomics

Overview of attention for book
Cover of 'Functional Proteomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Making the Case for Functional Proteomics
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    Chapter 2 Methods to Monitor the Functional Subproteomes of SERPIN Protease Inhibitors
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    Chapter 3 Two-Dimensional 16-BAC/SDS Polyacrylamide Gel Electrophoresis of Mitochondrial Membrane Proteins
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    Chapter 4 Systematic Glycolytic Enzyme Activity Analysis from Human Serum with PEP Technology
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    Chapter 5 A Protein Decomplexation Strategy in Snake Venom Proteomics
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    Chapter 6 Fractionation Techniques to Increase Plant Proteome Coverage: Combining Separation in Parallel at the Protein and the Peptide Level
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    Chapter 7 A Systematic Analysis Workflow for High-Density Customized Protein Microarrays in Biomarker Screening
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    Chapter 8 Metaproteomics Study of the Gut Microbiome
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    Chapter 9 Double One-Dimensional Electrophoresis (D1-DE) Adapted for Immunoproteomics
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    Chapter 10 BioID: A Proximity-Dependent Labeling Approach in Proteomics Study
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    Chapter 11 Functional Application of Snake Venom Proteomics in In Vivo Antivenom Assessment
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    Chapter 12 Proteomic Detection of Carbohydrate-Active Enzymes (CAZymes) in Microbial Secretomes
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    Chapter 13 An Overview of Mass Spectrometry-Based Methods for Functional Proteomics
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    Chapter 14 Functional Proteomic Analysis to Characterize Signaling Crosstalk
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    Chapter 15 Identification of Unexpected Protein Modifications by Mass Spectrometry-Based Proteomics
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    Chapter 16 Label-Free LC-MS/MS Strategy for Comprehensive Proteomic Profiling of Human Islets Collected Using Laser Capture Microdissection from Frozen Pancreata
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    Chapter 17 Targeted Proteomics
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    Chapter 18 Metabolomic Investigation of Staphylococcus aureus Antibiotic Susceptibility by Liquid Chromatography Coupled to High-Resolution Mass Spectrometry
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    Chapter 19 Nuts and Bolts of Protein Quantification by Online Trypsin Digestion Coupled LC-MS/MS Analysis
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    Chapter 20 Proteases: Pivot Points in Functional Proteomics
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    Chapter 21 The Use of Combinatorial Hexapeptide Ligand Library (CPLL) in Allergomics
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    Chapter 22 Efficient Extraction and Digestion of Gluten Proteins
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    Chapter 23 Glycosylation Profiling of Tumor Marker in Plasma Using Bead-Based Immunoassay
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    Chapter 24 Protein-Specific Analysis of Invertebrate Glycoproteins
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    Chapter 25 The Use of Proteomics Studies in Identifying Moonlighting Proteins
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    Chapter 26 Two-Dimensional Biochemical Purification for Global Proteomic Analysis of Macromolecular Protein Complexes
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    Chapter 27 A Data Analysis Protocol for Quantitative Data-Independent Acquisition Proteomics
Attention for Chapter 27: A Data Analysis Protocol for Quantitative Data-Independent Acquisition Proteomics
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Chapter title
A Data Analysis Protocol for Quantitative Data-Independent Acquisition Proteomics
Chapter number 27
Book title
Functional Proteomics
Published in
Methods in molecular biology, October 2018
DOI 10.1007/978-1-4939-8814-3_27
Pubmed ID
Book ISBNs
978-1-4939-8813-6, 978-1-4939-8814-3
Authors

Sami Pietilä, Tomi Suomi, Juhani Aakko, Laura L. Elo

Abstract

Data-independent acquisition (DIA) mode of mass spectrometry, such as the SWATH-MS technology, enables accurate and consistent measurement of proteins, which is crucial for comparative proteomics studies. However, there is lack of free and easy to implement data analysis protocols that can handle the different data processing steps from raw spectrum files to peptide intensity matrix and its downstream analysis. Here, we provide a data analysis protocol, named diatools, covering all these steps from spectral library building to differential expression analysis of DIA proteomics data. The data analysis tools used in this protocol are open source and the protocol is distributed at Docker Hub as a complete software environment that supports Linux, Windows, and macOS operating systems.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 2 17%
Other 1 8%
Student > Master 1 8%
Student > Bachelor 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 42%
Chemistry 2 17%
Computer Science 2 17%
Mathematics 1 8%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2018.
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#10,372,743
of 13,594,271 outputs
Outputs from Methods in molecular biology
#3,779
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Outputs of similar age
#184,362
of 264,552 outputs
Outputs of similar age from Methods in molecular biology
#1
of 2 outputs
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