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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
  6. Altmetric Badge
    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.
  8. Altmetric Badge
    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
  16. Altmetric Badge
    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
  19. Altmetric Badge
    Chapter 18 Targeted Mass Spectrometry-Based Metabolomic Profiling Through Multiple Reaction Monitoring of Liver and Other Biological Matrices
  20. Altmetric Badge
    Chapter 19 Discovery of Lamin B1 and Vimentin as Circulating Biomarkers for Early Hepatocellular Carcinoma
  21. Altmetric Badge
    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 6: Assessing heterogeneity of peroxisomes: isolation of two subpopulations from rat liver.
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Chapter title
Assessing heterogeneity of peroxisomes: isolation of two subpopulations from rat liver.
Chapter number 6
Book title
Liver Proteomics
Published in
Methods in molecular biology, August 2012
DOI 10.1007/978-1-61779-959-4_6
Pubmed ID
Book ISBNs
978-1-61779-958-7, 978-1-61779-959-4
Authors

Islinger M, Abdolzade-Bavil A, Liebler S, Weber G, Völkl A, Markus Islinger, Afsaneh Abdolzade-Bavil, Sven Liebler, Gerhardt Weber, Alfred Völkl, Islinger, Markus, Abdolzade-Bavil, Afsaneh, Liebler, Sven, Weber, Gerhardt, Völkl, Alfred

Abstract

Peroxisomes exhibit a heterogeneous morphological appearance in rat liver tissue. In this respect, the isolation and subsequent biochemical characterization of peroxisome species from different subcellular prefractions should help to solve the question of whether peroxisomes indeed diverge into functionally specialized subgroups in one tissue. As a means to address this question, we provide a detailed separation protocol for the isolation of peroxisomes from both the light (LM-Po) and the heavy (HM-Po) mitochondrial prefraction for their subsequent comparative analysis. Both isolation strategies rely on centrifugation in individually adapted Optiprep gradients. In case of the heavy mitochondrial fraction, free flow electrophoresis is appended as an additional separation step to yield peroxisomes of sufficient purity. In view of their morphology, peroxisomes isolated from both fractions are surrounded by a continuous single membrane and contain a gray-opaque inner matrix. However, beyond this overall similar appearance, HM-Po exhibit a smaller average diameter, float at lower density, and show a more negative average membrane charge when compared to LM-Po.

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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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Professor > Associate Professor 3 17%
Student > Ph. D. Student 3 17%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 50%
Agricultural and Biological Sciences 4 22%
Chemical Engineering 1 6%
Immunology and Microbiology 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 2 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 January 2015.
All research outputs
#6,918,838
of 22,689,790 outputs
Outputs from Methods in molecular biology
#2,076
of 13,045 outputs
Outputs of similar age
#50,349
of 169,199 outputs
Outputs of similar age from Methods in molecular biology
#11
of 70 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 13,045 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 83% 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 169,199 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
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 has done well, scoring higher than 82% of its contemporaries.