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Tissue Proteomics

Overview of attention for book
Cover of 'Tissue Proteomics'

Table of Contents

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    Book Overview
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    Chapter 73 Depletion of Myofibril-Associated Proteins Using Selective Protein Extraction as a Tool in Cardiac Proteomics
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    Chapter 74 Untargeted Screening of Urinary Peptides Using Offline Nano-Liquid Chromatography: MALDI-TOF/TOF Mass Spectrometry
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    Chapter 75 Identifying Clinically Relevant Proteins for Targeted Analysis in the Development of a Multiplexed Proteomic Biomarker Assay
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    Chapter 76 GeLC-MS: A Sample Preparation Method for Proteomics Analysis of Minimal Amount of Tissue
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    Chapter 77 Isobaric Labeling-Based LC-MS/MS Strategy for Comprehensive Profiling of Human Pancreatic Tissue Proteome
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    Chapter 78 Quantitative Proteomic Analysis of Mass Limited Tissue Samples for Spatially Resolved Tissue Profiling
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    Chapter 79 HLA Class I and Class II-Induced Intracellular Signaling and Molecular Associations in Primary Human Endothelial Cells
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    Chapter 80 Differential Adipose Tissue Proteomics
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    Chapter 81 MALDI Imaging Mass Spectrometry of N-glycans and Tryptic Peptides from the Same Formalin-Fixed, Paraffin-Embedded Tissue Section
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    Chapter 82 Straightforward Protocol for Gel-Free Proteomic Analysis of Adipose Tissue
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    Chapter 85 Characterization of Protein Complexes Using Chemical Cross-Linking Coupled Electrospray Mass Spectrometry
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    Chapter 86 In Situ Hybridization and Double Immunohistochemistry for the Detection of VEGF-A mRNA and CD34/Collagen IV Proteins in Renal Transplant Biopsies
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    Chapter 87 High-Throughput Proteomic Analysis of Fresh-Frozen Biopsy Tissue Samples Using Pressure Cycling Technology Coupled with SWATH Mass Spectrometry
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    Chapter 88 Combination Strategy of Quantitative Proteomics Uncovers the Related Proteins of Colorectal Cancer in the Interstitial Fluid of Colonic Tissue from the AOM-DSS Mouse Model
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    Chapter 89 Purification of Target Proteins from Native Tissues: CCT Complex from Bovine Testes and PP2Ac from Porcine Brains
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    Chapter 90 Optimization for Peptide Sample Preparation for Urine Peptidomics
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    Chapter 91 Fractionation of Soluble Proteins Using DEAE-Sepharose, SP-Sepharose, and Phenyl Sepharose Chromatographies for Proteomics
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    Chapter 92 Discovery of Immune Reactive Human Proteins by High-Density Protein Arrays and Customized Validation of Potential Biomarkers by ELISA
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    Chapter 93 LC-SRM-Based Targeted Quantification of Urinary Protein Biomarkers
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    Chapter 94 Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers
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    Chapter 111 Targeted Proteomics Driven Verification of Biomarker Candidates Associated with Breast Cancer Aggressiveness
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    Chapter 112 Multiple Reaction Monitoring Using Double Isotopologue Peptide Standards for Protein Quantification
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    Chapter 113 Quantification of Breast Cancer Protein Biomarkers at Different Expression Levels in Human Tumors
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    Chapter 114 MALDI Imaging Combined with Laser Microdissection-Based Microproteomics for Protein Identification: Application to Intratumor Heterogeneity Studies
Attention for Chapter 112: Multiple Reaction Monitoring Using Double Isotopologue Peptide Standards for Protein Quantification
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Chapter title
Multiple Reaction Monitoring Using Double Isotopologue Peptide Standards for Protein Quantification
Chapter number 112
Book title
Tissue Proteomics
Published in
Methods in molecular biology, December 2017
DOI 10.1007/7651_2017_112
Pubmed ID
Book ISBNs
978-1-4939-7852-6, 978-1-4939-7854-0
Authors

Azad Eshghi, Christoph H. Borchers

Abstract

Multiple reaction monitoring (MRM) is a technique used in tandem mass spectrometry where the first mass analyzer preselects parent ions for fragmentation and the second mass analyzer transmits selected product ions to the detector. This targeted technique has found widespread application in bottom-up proteomics for monitoring target peptides in a complex enzymatic digest. Quantitative MRM can be performed on enzymatically digested samples using spiked-in synthetic peptide standards, providing unsurpassed quantitative accuracy and a dynamic range of four orders of magnitude, often eliminating the need for prior depletion of high-abundance proteins. The development of MRM assays requires technical rigor, and this chapter details a methodology for sample preparation, data acquisition, and analyses to successfully perform quantitative MRM assays using two distinct isotopologue peptide standards to quantify proteins in mouse plasma and heart tissue.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Professor > Associate Professor 1 20%
Other 1 20%
Unknown 2 40%
Readers by discipline Count As %
Unspecified 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Chemistry 1 20%
Unknown 2 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 December 2017.
All research outputs
#7,420,190
of 12,357,782 outputs
Outputs from Methods in molecular biology
#2,436
of 8,313 outputs
Outputs of similar age
#180,893
of 350,267 outputs
Outputs of similar age from Methods in molecular biology
#423
of 1,609 outputs
Altmetric has tracked 12,357,782 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,313 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 350,267 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,609 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.