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Proteomic Profiling

Overview of attention for book
Cover of 'Proteomic Profiling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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.
  35. Altmetric Badge
    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 5: Methods for proteomics-based analysis of the human muscle secretome using an in vitro exercise model.
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Chapter title
Methods for proteomics-based analysis of the human muscle secretome using an in vitro exercise model.
Chapter number 5
Book title
Proteomic Profiling
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2550-6_5
Pubmed ID
Book ISBNs
978-1-4939-2549-0, 978-1-4939-2550-6
Authors

Scheler, Mika, de Angelis, Martin Hrabě, Al-Hasani, Hadi, Häring, Hans-Ulrich, Weigert, Cora, Lehr, Stefan, Mika Scheler, Martin Hrabě de Angelis, Hadi Al-Hasani, Hans-Ulrich Häring, Cora Weigert, Stefan Lehr, Angelis, Martin Hrabě

Abstract

Over the last decade, the skeletal muscle as a secretory organ gained in importance. A growing number of peptides are described which are produced and released by the muscle fibers and work in an autocrine, paracrine, and endocrine fashion. The contraction-induced secretion of these myokines is considered to contribute to the health-promoting effects of exercise. To gain further insights into the molecular processes that occur during contraction an in vitro exercise model, electric pulse stimulation (EPS), was established. Recent publications show that this model is suitable to electro-stimulate human skeletal muscle cells and thus mimic muscle contraction in vitro. Here, we provide a detailed protocol for the proteomics-based analysis of the human muscle secretome, starting with the cultivation of human myotubes and their electric pulse stimulation, ending with sample preparation for targeted and untargeted proteome analysis of the cell culture supernatant. This whole workflow should allow deeper insights into the complex nature of the muscle secretome and the identification of new myokines which might help to understand the crosstalk of the working muscle with different organs and the beneficial effects of exercise.

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Portugal 1 <1%
Sweden 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 30%
Researcher 18 16%
Student > Bachelor 15 13%
Student > Master 10 9%
Student > Postgraduate 7 6%
Other 11 10%
Unknown 19 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 27%
Agricultural and Biological Sciences 18 16%
Chemistry 9 8%
Medicine and Dentistry 8 7%
Engineering 7 6%
Other 19 17%
Unknown 23 20%
Attention Score in Context

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 01 April 2015.
All research outputs
#14,678,796
of 22,797,621 outputs
Outputs from Methods in molecular biology
#4,620
of 13,117 outputs
Outputs of similar age
#195,551
of 353,059 outputs
Outputs of similar age from Methods in molecular biology
#290
of 996 outputs
Altmetric has tracked 22,797,621 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,117 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 64% 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 353,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 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 70% of its contemporaries.