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Progranulin

Overview of attention for book
Cover of 'Progranulin'

Table of Contents

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    Book Overview
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    Chapter 1 A Brief Overview of Progranulin in Health and Disease
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    Chapter 2 Chromatographic Methods for the Purification of Granulin Peptides
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    Chapter 3 Methods for Expression and Purification of Biologically Active Recombinant Progranulin
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    Chapter 4 Large-Scale Generation of Recombinant Granulin Peptides in E. coli
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    Chapter 5 Nuclear Magnetic Resonance Spectroscopy in Analysis of Granulin Three-Dimensional Structure and Cysteine Bridging
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    Chapter 6 Data Mining: Applying the AD&FTD Mutation Database to Progranulin
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    Chapter 7 Measurement of Circulating Progranulin (PGRN/GP88/GEP) by Enzyme-Linked Immunosorbent Assay and Application in Human Diseases
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    Chapter 8 Immunohistochemical Detection of Progranulin (PGRN/GP88/GEP) in Tumor Tissues as a Cancer Prognostic Biomarker
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    Chapter 9 Analysis of Progranulin-Mediated Akt and MAPK Activation
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    Chapter 10 Mouse Monoclonal Antibodies Against Progranulin (PGRN/GEP) as Therapeutics in Preclinical Cancer Models
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    Chapter 11 Methods to Analyze the Role of Progranulin (PGRN/GEP) on Cancer Stem Cell Features
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    Chapter 12 Methods to Study the Role of Progranulin in the Tumor Microenvironment
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    Chapter 13 Methods to Investigate the Molecular Basis of Progranulin Action on Neurons In Vivo Using Caenorhabditis elegans
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    Chapter 14 The Use of Caenorhabditis elegans to Study Progranulin in the Regulation of Programmed Cell Death and Stress Response
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    Chapter 15 Application of Zebrafish and Knockdown Technology to Define Progranulin Neuronal Function
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    Chapter 16 Methods to Investigate the Molecular Basis of Progranulin Actions on Brain and Behavior In Vivo Using Knockout Mice
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    Chapter 17 Methods to Investigate the Protection Against Neurodegenerative Disorders Provided by Progranulin Gene Transfer in the Brain
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    Chapter 18 The Interaction Between Progranulin with Sortilin and the Lysosome
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    Chapter 19 Methods to Study the Role of Progranulin in Preimplantation Mouse Embryo Development
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    Chapter 20 Establishment of a Modified Collagen-Induced Arthritis Mouse Model to Investigate the Anti-inflammatory Activity of Progranulin in Inflammatory Arthritis
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    Chapter 21 Methods for Studying the Function of Progranulin in Atherosclerosis Using Both Knockout Mice Models and In Vitro Studies
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    Chapter 22 Methods to Investigate the Roles of Progranulin in Angiogenesis Using In Vitro Strategies and Transgenic Mouse Models
Attention for Chapter 14: The Use of Caenorhabditis elegans to Study Progranulin in the Regulation of Programmed Cell Death and Stress Response
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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Chapter title
The Use of Caenorhabditis elegans to Study Progranulin in the Regulation of Programmed Cell Death and Stress Response
Chapter number 14
Book title
Progranulin
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8559-3_14
Pubmed ID
Book ISBNs
978-1-4939-8557-9, 978-1-4939-8559-3
Authors

Tsung-Yuan Hsu, Victoria J. Butler, Aimee W. Kao, Hsu, Tsung-Yuan, Butler, Victoria J., Kao, Aimee W.

Abstract

The nematode Caenorhabditis elegans (C. elegans) has proven to be a powerful model organism for the study of many biological processes, with major implications for human health and disease. As progranulin is a pleiotropic, secreted protein with both cell autonomous and non-autonomous roles, a multicellular organism such as C. elegans is ideal for the investigation of its normal function and pathological effects. The C. elegans genome contains a progranulin-like gene known as pgrn-1. The nematode pgrn-1 encodes a protein with three cysteine-rich granulin domains, compared to the seven and a half granulins in the human protein. We have shown that C. elegans mutants lacking pgrn-1 appear grossly normal, but exhibit accelerated apoptotic cell engulfment as well as a stress resistance phenotype (Kao et al., Proc Natl Acad Sci U S A 108:4441-4446, 2011; Judy et al., PLoS Genet 9:e1003714, 2013). In addition, the roles of individual granulins can also be dissected in C. elegans (Salazar et al., J Neurosci 35:9315-9328, 2015). Here, we describe methods for studying apoptosis and stress response in C. elegans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 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 %
Student > Bachelor 1 25%
Lecturer 1 25%
Student > Postgraduate 1 25%
Other 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Agricultural and Biological Sciences 1 25%
Social Sciences 1 25%
Medicine and Dentistry 1 25%
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 08 April 2019.
All research outputs
#6,566,769
of 23,253,955 outputs
Outputs from Methods in molecular biology
#1,990
of 13,319 outputs
Outputs of similar age
#132,629
of 443,527 outputs
Outputs of similar age from Methods in molecular biology
#180
of 1,501 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,319 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 443,527 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 69% of its contemporaries.
We're also able to compare this research output to 1,501 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.