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Serpins

Overview of attention for book
Cover of 'Serpins'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Overview of Serpins and Their Roles in Biological Systems
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    Chapter 2 Methods for Determining and Understanding Serpin Structure and Function: X-Ray Crystallography
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    Chapter 3 Serpin Phage Display: The Use of a T7 System to Probe Reactive Center Loop Libraries with Different Serine Proteinases
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    Chapter 4 Kinetic Measurement of Serpin Inhibitory Activity by Real-Time Fluorogenic Biochemical Assay
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    Chapter 5 Methods for Identifying Virus-Derived Serpins
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    Chapter 6 In Vitro Approaches for the Assessment of Serpin Polymerization
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    Chapter 7 Cellular Models for the Serpinopathies
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    Chapter 8 Binding of Serpins to Immobilized Phospholipids and Phospholipids in Suspension
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    Chapter 9 Viral Serpin Reactive Center Loop (RCL) Peptides: Design and Testing
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    Chapter 10 In Vivo Analysis of Alpha-1-Antitrypsin Functions in Autoimmune Disease Models
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    Chapter 11 Analysis of In Vivo Serpin Functions in Models of Inflammatory Vascular Disease
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    Chapter 12 Gene Delivery of Alpha-1-Antitrypsin Using Recombinant Adeno-Associated Virus (rAAV)
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    Chapter 13 Serpins in Venous Thrombosis and Venous Thrombus Resolution
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    Chapter 14 Next-Generation Sequencing Library Preparation for 16S rRNA Microbiome Analysis After Serpin Treatment
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    Chapter 15 Methods for Assessing Serpins as Neuroprotective Therapeutics
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    Chapter 16 Adeno-Associated Virus Delivery of Viral Serpins for Ocular Diseases: Design and Validation
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    Chapter 17 Serpins: Development for Therapeutic Applications
Attention for Chapter 11: Analysis of In Vivo Serpin Functions in Models of Inflammatory Vascular Disease
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Chapter title
Analysis of In Vivo Serpin Functions in Models of Inflammatory Vascular Disease
Chapter number 11
Book title
Serpins
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8645-3_11
Pubmed ID
Book ISBNs
978-1-4939-8644-6, 978-1-4939-8645-3
Authors

Hao Chen, Sriram Ambadapadi, Erbin Dai, Liying Liu, Jordan R. Yaron, Liqiang Zhang, Alexandra Lucas, Chen, Hao, Ambadapadi, Sriram, Dai, Erbin, Liu, Liying, Yaron, Jordan R., Zhang, Liqiang, Lucas, Alexandra

Abstract

Serpins have a wide range of functions in regulation of serine proteases in the thrombotic cascade and in immune responses, representing up to 2-10% of circulating proteins in the blood. Selected serpins also have cross-class inhibitory actions for cysteine proteases in inflammasome and apoptosis pathways. The arterial and venous systems transport blood throughout the mammalian body representing a central site for interactions between coagulation proteases and circulating blood cells (immune cells) and target tissues, a very extensive and complex interaction. While analysis of serpin functions in vitro in kinetics or gel shift assays or in tissue culture provides very necessary information on molecular mechanisms, the penultimate assessment of biological or physiological functions and efficacy for serpins as therapeutics requires study in vivo in whole animal models (some also consider cell culture to be an in vivo approach).Mouse models of arterial transplant with immune rejection as well as models of inflammatory vasculitis induced by infection have been used to study the interplay between the coagulation and immune response pathways. We describe here three in vivo vasculitis models that are used to study the roles of serpins in disease and as therapeutics. The models described include (1) mouse aortic allograft transplantation, (2) human temporal artery (TA) xenograft into immunodeficient mouse aorta, and (3) mouse herpes virus (MHV68)-induced inflammatory vasculitis in interferon-gamma receptor (IFNγR) knockout mice.

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Professor > Associate Professor 2 22%
Professor 1 11%
Researcher 1 11%
Unknown 3 33%
Readers by discipline Count As %
Medicine and Dentistry 3 33%
Immunology and Microbiology 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 4 44%
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 09 September 2018.
All research outputs
#15,545,423
of 23,103,436 outputs
Outputs from Methods in molecular biology
#5,412
of 13,208 outputs
Outputs of similar age
#212,577
of 336,306 outputs
Outputs of similar age from Methods in molecular biology
#97
of 247 outputs
Altmetric has tracked 23,103,436 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 13,208 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 336,306 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.