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Metabolic Profiling

Overview of attention for book
Cover of 'Metabolic Profiling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Metabolic Profiling: Status, Challenges, and Perspective
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    Chapter 2 Quality Control and Validation Issues in LC-MS Metabolomics
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    Chapter 3 Data Treatment for LC-MS Untargeted Analysis
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    Chapter 4 Bio- and Chemoinformatics Approaches for Metabolomics Data Analysis
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    Chapter 5 HILIC-MS/MS Multi-Targeted Method for Metabolomics Applications
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    Chapter 6 Ion Pair Chromatography for Endogenous Metabolites LC-MS Analysis in Tissue Samples Following Targeted Acquisition
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    Chapter 7 LC-MS Untargeted Analysis
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    Chapter 8 NMR-Based Metabolic Profiling Procedures for Biofluids and Cell and Tissue Extracts
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    Chapter 9 Untargeted GC-MS Metabolomics
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    Chapter 10 Rat Fecal Metabolomics-Based Analysis
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    Chapter 11 GC-MS Metabolomic Profiling of Protic Metabolites Following Heptafluorobutyl Chloroformate Mediated Dispersive Liquid Microextraction Sample Preparation Protocol
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    Chapter 12 Sheathless Capillary Electrophoresis-Mass Spectrometry for the Profiling of Charged Metabolites in Biological Samples
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    Chapter 13 Two-Phase Extraction for Comprehensive Analysis of the Plant Metabolome by NMR
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    Chapter 14 NMR Spectroscopy Protocols for Food Metabolomics Applications
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    Chapter 15 Direct Injection Analysis of Fruit VOCs by PTR-ToF-MS: The Apple Case Study
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    Chapter 16 LC-MS Untargeted Protocol for the Analysis of Wine
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    Chapter 17 Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage
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    Chapter 18 UHPLC-HRMS Analysis for Steroid Profiling in Serum (Steroidomics)
  20. Altmetric Badge
    Chapter 19 Metabolomics in Human Acute-Exercise Trials: Study Design and Preparation
Attention for Chapter 17: Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Chapter title
Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage
Chapter number 17
Book title
Metabolic Profiling
Published in
Methods in molecular biology, April 2018
DOI 10.1007/978-1-4939-7643-0_17
Pubmed ID
Book ISBNs
978-1-4939-7642-3, 978-1-4939-7643-0
Authors

Panagiotis A. Vorkas, M. R. Abellona U, Jia V. Li, Vorkas, Panagiotis A., Abellona U, M. R., Li, Jia V.

Abstract

The use of tissue as a matrix to elucidate disease pathology or explore intervention comes with several advantages. It allows investigation of the target alteration directly at the focal location and facilitates the detection of molecules that could become elusive after secretion into biofluids. However, tissue metabolomics/metabonomics comes with challenges not encountered in biofluid analyses. Furthermore, tissue heterogeneity does not allow for tissue aliquoting. Here we describe a multiplatform, multi-method workflow which enables metabolic profiling analysis of tissue samples, while it can deliver enhanced metabolome coverage. After applying a dual consecutive extraction (organic followed by aqueous), tissue extracts are analyzed by reversed-phase (RP-) and hydrophilic interaction liquid chromatography (HILIC-) ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS) and nuclear magnetic resonance (NMR) spectroscopy. This pipeline incorporates the required quality control features, enhances versatility, allows provisional aliquoting of tissue extracts for future guided analyses, expands the range of metabolites robustly detected, and supports data integration. It has been successfully employed for the analysis of a wide range of tissue types.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Other 4 17%
Researcher 4 17%
Student > Bachelor 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 7 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 29%
Chemistry 3 13%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 8 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 02 May 2018.
All research outputs
#1,987,326
of 23,043,346 outputs
Outputs from Methods in molecular biology
#303
of 13,194 outputs
Outputs of similar age
#45,020
of 327,682 outputs
Outputs of similar age from Methods in molecular biology
#6
of 41 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 327,682 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.