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Hypoxia

Overview of attention for book
Cover of 'Hypoxia'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Genetic Knockdown and Pharmacologic Inhibition of Hypoxia-Inducible Factor (HIF) Hydroxylases
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    Chapter 2 Kinetic Analysis of HIF Prolyl Hydroxylases
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    Chapter 3 Mass Spectrometry and Bioinformatic Analysis of Hydroxylation-Dependent Protein-Protein Interactions
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    Chapter 4 Acquisition of Temporal HIF Transcriptional Activity Using a Secreted Luciferase Assay
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    Chapter 5 Fluorescence Lifetime Imaging Microscopy (FLIM) as a Tool to Investigate Hypoxia-Induced Protein-Protein Interaction in Living Cells
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    Chapter 6 Transcriptional Profiling Using RNA-Seq to Study Hypoxia-Mediated Gene Regulation
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    Chapter 7 Chromatin Immunoprecipitation of HIF-α in Breast Tumor Cells Using Wild Type and Loss of Function Models
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    Chapter 8 Evaluating the Metabolic Impact of Hypoxia on Pancreatic Cancer Cells
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    Chapter 9 Hypoxia-Induced Metabolomic Alterations in Pancreatic Cancer Cells
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    Chapter 10 Hypoxia-Mediated In Vivo Tumor Glucose Uptake Measurement and Analysis
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    Chapter 11 Measurement of Sensory Nerve Activity from the Carotid Body
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    Chapter 12 Monitoring Functional Responses to Hypoxia in Single Carotid Body Cells
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    Chapter 13 Testing Acute Oxygen Sensing in Genetically Modified Mice: Plethysmography and Amperometry
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    Chapter 14 Immunohistochemistry of the Carotid Body
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    Chapter 15 Hypoxia Signaling and Placental Adaptations
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    Chapter 16 Evaluation of Erythrocyte Changes After Normoxic Return from Hypoxia
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    Chapter 17 Hypoxic Treatment of Zebrafish Embryos and Larvae
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    Chapter 18 Microinjection of Antisense Morpholinos, CRISPR/Cas9 RNP, and RNA/DNA into Zebrafish Embryos
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    Chapter 19 Western Blot Analysis of C. elegans Proteins
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    Chapter 20 In Vivo Manipulation of HIF-1α Expression During Glioma Genesis
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    Chapter 21 In Vitro Assays of Breast Cancer Stem Cells
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    Chapter 22 Fluorescence-Activated Cell Sorting of Murine Mammary Cancer Stem-Like Cell Subpopulations with HIF Activity
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    Chapter 23 Evaluation of Macrophage Polarization in Pancreatic Cancer Microenvironment Under Hypoxia
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    Chapter 24 Detection of Hypoxia and HIF in Paraffin-Embedded Tumor Tissues
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    Chapter 25 Analysis of Hypoxia and the Hypoxic Response in Tumor Xenografts
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    Chapter 26 Correlation of Glioma Proliferation and Hypoxia by Luciferase, Magnetic Resonance, and Positron Emission Tomography Imaging
Attention for Chapter 3: Mass Spectrometry and Bioinformatic Analysis of Hydroxylation-Dependent Protein-Protein Interactions
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Chapter title
Mass Spectrometry and Bioinformatic Analysis of Hydroxylation-Dependent Protein-Protein Interactions
Chapter number 3
Book title
Hypoxia
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7665-2_3
Pubmed ID
Book ISBNs
978-1-4939-7664-5, 978-1-4939-7665-2
Authors

Javier Rodriguez, Alex von Kriegsheim

Abstract

Characterization of how a stimulus regulates the dynamics of protein-protein interaction is critical for understanding how a particular protein is regulated in an intracellular signaling network. Protein hydroxylation, which is a posttranslational modification catalyzed by oxygen-dependent enzymes, is a crucial regulator of protein-protein interactions. Under low oxygen conditions, the activity of many hydroxylases is inhibited, which results in a reduction of substrate hydroxylation. These changes alter the interactome of the substrate, and this dynamic rewiring of signaling networks explains crucial aspects of the adaptive response to hypoxia. In order to fully understand the systemic role of hydroxylation, it is necessary to identify a comprehensive set of substrates, as well as to determine which residues are hydroxylated. In addition, hydroxylation-dependent changes in the interactome of the substrates are indicative of the molecular function of the modification. To identify new substrates of hydroxylases, we have developed an approach involving the use of a pharmacological substrate-trap strategy followed by label-free quantitative mass spectrometry. An overview is provided for the sample preparation, mass spectrometry techniques, and statistical analysis used for detection of new substrates, hydroxylated residue, and hydroxylation-dependent protein-protein interaction changes.

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X Demographics

The data shown below were collected from the profiles of 3 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 2 29%
Unspecified 1 14%
Student > Postgraduate 1 14%
Student > Master 1 14%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Unspecified 1 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%
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 14 January 2018.
All research outputs
#15,488,947
of 23,016,919 outputs
Outputs from Methods in molecular biology
#5,388
of 13,165 outputs
Outputs of similar age
#269,777
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 442,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.