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Liver Proteomics

Overview of attention for book
Cover of 'Liver Proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cell Surface Capturing Technologies for the Surfaceome Discovery of Hepatocytes
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    Chapter 2 An On-Target Desalting and Concentration Sample Preparation Protocol for MALDI-MS and MS/MS Analysis
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    Chapter 3 Plasma Membrane Isolation Using Immobilized Concanavalin A Magnetic Beads
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    Chapter 4 Analysis of the Cattle Liver Proteome by High-Sensitive Liquid Chromatography Coupled with Mass Spectrometry Method
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    Chapter 5 Producing a One-Dimensional Proteomic Map for Human Liver Cytochromes P450
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    Chapter 6 Assessing heterogeneity of peroxisomes: isolation of two subpopulations from rat liver.
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    Chapter 7 Purification and Proteomic Analysis of Liver Membrane Skeletons
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    Chapter 8 Liver Plasma Membranes: An Effective Method to Analyze Membrane Proteome
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    Chapter 9 Quantitative Analysis of Liver Golgi Proteome in the Cell Cycle
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    Chapter 10 Glycoproteins and Glycosylation: Apolipoprotein C3 Glycoforms by Top-Down MALDI-TOF Mass Spectrometry
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    Chapter 11 Phosphoproteomic Analysis of Liver Homogenates
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    Chapter 12 A Combination of Affinity Chromatography, 2D DIGE, and Mass Spectrometry to Analyze the Phosphoproteome of Liver Progenitor Cells
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    Chapter 13 Identifying Acetylated Proteins in Mitosis
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    Chapter 14 Comparative Proteome Analysis of a Human Liver Cell Line Stably Transfected with Hepatitis D Virus Full-Length cDNA
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    Chapter 15 Identification of New Autoimmune Hepatitis-Specific Autoantigens by Using Protein Microarray Technology
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    Chapter 16 Proteomics Analysis of Human Nonalcoholic Fatty Liver
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    Chapter 17 Proteomic Methods for Biomarker Discovery in a Rat Model of Alcohol Steatosis
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    Chapter 18 Targeted Mass Spectrometry-Based Metabolomic Profiling Through Multiple Reaction Monitoring of Liver and Other Biological Matrices
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    Chapter 19 Discovery of Lamin B1 and Vimentin as Circulating Biomarkers for Early Hepatocellular Carcinoma
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    Chapter 20 Combinatorial Peptide ligand libraries to discover liver disease biomarkers in plasma samples.
  22. Altmetric Badge
    Chapter 21 Isolation of Urinary Exosomes from Animal Models to Unravel Noninvasive Disease Biomarkers
Attention for Chapter 20: Combinatorial Peptide ligand libraries to discover liver disease biomarkers in plasma samples.
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Chapter title
Combinatorial Peptide ligand libraries to discover liver disease biomarkers in plasma samples.
Chapter number 20
Book title
Liver Proteomics
Published in
Methods in molecular biology, August 2012
DOI 10.1007/978-1-61779-959-4_20
Pubmed ID
22903724
Book ISBNs
978-1-61779-958-7, 978-1-61779-959-4
Authors

D'Amici GM, Timperio AM, Rinalducci S, Zolla L, Gian Maria D’Amici, Anna Maria Timperio, Sara Rinalducci, Lello Zolla, D’Amici, Gian Maria, Timperio, Anna Maria, Rinalducci, Sara, Zolla, Lello

Abstract

High-abundance proteins present in blood plasma make the detection of low-abundance proteins extremely difficult by proteomics technology. Hexapeptide combinatorial ligand libraries can be used to investigate the hidden proteome in depth. Here we describe how liver disease biomarkers can be successfully discovered in blood plasma by two main steps: preparative methods that reduce the dynamic range of protein concentration, and analytic methods that allow resolution of proteins. Thus, blood plasma from hepatitis B virus infected patients were treated with ProteoMiner™ enrichment kit and analyzed by two dimensional gel electrophoresis and mass spectrometry. This approach allowed us to identify plasma gelsolin as possible candidate biomarker for hepatitis B-associated liver cirrhosis.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Professor > Associate Professor 1 25%
Other 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Unspecified 1 25%
Agricultural and Biological Sciences 1 25%
Attention Score in Context

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 18 December 2012.
All research outputs
#18,323,689
of 22,689,790 outputs
Outputs from Methods in molecular biology
#7,836
of 13,045 outputs
Outputs of similar age
#129,641
of 169,199 outputs
Outputs of similar age from Methods in molecular biology
#37
of 70 outputs
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So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.

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