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Biological Aging

Overview of attention for book
Cover of 'Biological Aging'

Table of Contents

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    Book Overview
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    Chapter 1 Cell senescence culturing methods.
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    Chapter 2 Digital Image Analysis of Cells Stained with the Senescence-Associated β-Galactosidase Assay
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    Chapter 3 Analysis of biomarkers of caloric restriction in aging cells.
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    Chapter 4 Cell Sorting of Young and Senescent Cells
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    Chapter 5 Biological Aging
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    Chapter 6 Methods for Creating Mutations in C. elegans That Extend Lifespan
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    Chapter 7 Aging Studies in Drosophila Melanogaster
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    Chapter 8 The Use of Calorie Restriction Mimetics to Study Aging
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    Chapter 9 Using Somatic-Cell Nuclear Transfer to Study Aging
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    Chapter 10 Induction of Cellular Senescence by Oncogenic RAS
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    Chapter 11 Methods of Cellular Senescence Induction Using Oxidative Stress
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    Chapter 12 Methods of Testing Pharmacological Drugs Effects on Aging and Life Span in Mice
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    Chapter 13 Mitochondria-Targeted Antiaging Gene Therapy with Adeno-associated Viral Vectors
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    Chapter 14 Real-Time Bioluminescence Functional Imaging for Monitoring Tissue Formation and Regeneration
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    Chapter 15 Exometabolomic Mapping of Caenorhabditis elegans: A Tool to Noninvasively Investigate Aging
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    Chapter 16 Detecting Polymorphisms in Human Longevity Studies: HLA Typing and SNP Genotyping by Amplicon Sequencing.
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    Chapter 17 Gel Electrophoresis-Based Proteomics of Senescent Tissues
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    Chapter 18 Single-Cell Semiconductor Sequencing
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    Chapter 19 Application of DNA Microarray Technology to Gerontological Studies
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    Chapter 20 Epigenetic biomarker to determine replicative senescence of cultured cells.
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    Chapter 21 Single-Neuron Transcriptome and Methylome Sequencing for Epigenomic Analysis of Aging
Attention for Chapter 16: Detecting Polymorphisms in Human Longevity Studies: HLA Typing and SNP Genotyping by Amplicon Sequencing.
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Chapter title
Detecting Polymorphisms in Human Longevity Studies: HLA Typing and SNP Genotyping by Amplicon Sequencing.
Chapter number 16
Book title
Biological Aging
Published in
Methods in molecular biology, August 2013
DOI 10.1007/978-1-62703-556-9_16
Pubmed ID
23929108
Book ISBNs
978-1-62703-555-2, 978-1-62703-556-9
Authors

Vargas-Alarcón G, Flores-Domínguez C, Gilberto Vargas-Alarcón, Carmina Flores-Domínguez

Abstract

Life expectancy has always been associated to several determinants, such as environmental and genetic factors. Studies have related human lifespan as being 25-32 % due to genetic polymorphisms between individuals associated to longevity and aging. Nonetheless, no single gene will convey a phenotype like longevity. Aging is a process that occurs from changes in various levels of the cell, from genes to functions. Longevity is the ability to cope and repair the damage that results from these changes. It has been described as the result of an optimal performance of immune system and as an overexpression of anti-inflammatory sequence variants of immune/inflammatory genes.Longevity gene candidates can be separated into the following categories: inflammatory and immune-related, stress response elements, mediators of glucose and lipid metabolism, DNA repair components and cellular proliferation, and DNA haplogroups.Studies have related lifespan with Common Single-Nucleotide Polymorphisms (SNPs); polygenic effects can explain an important part of how genetics influence it. In this chapter we describe how to sequence Class I HLA allele polymorphism, as well as SNP sequencing, two methodologies most frequently used in polymorphism detection.

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

Geographical breakdown

Country Count As %
Japan 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 67%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Agricultural and Biological Sciences 2 33%
Medicine and Dentistry 1 17%
Unknown 1 17%
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 10 September 2013.
All research outputs
#15,279,577
of 22,721,584 outputs
Outputs from Methods in molecular biology
#5,305
of 13,083 outputs
Outputs of similar age
#122,007
of 197,557 outputs
Outputs of similar age from Methods in molecular biology
#20
of 60 outputs
Altmetric has tracked 22,721,584 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 13,083 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 197,557 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 60 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.

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