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Stem Cells and Aging

Overview of attention for book
Cover of 'Stem Cells and Aging'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 118 Reprogramming of Aged Cells into Pluripotent Stem Cells by Nuclear Transfer
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    Chapter 119 Infrared Spectroscopy and Imaging in Stem Cells and Aging Research
  4. Altmetric Badge
    Chapter 120 Use of U-STELA for Accurate Measurement of Extremely Short Telomeres
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    Chapter 121 Histopathological and Behavioral Assessments of Aging Effects on Stem Cell Transplants in an Experimental Traumatic Brain Injury
  6. Altmetric Badge
    Chapter 139 Assessing Muscle Stem Cell Clonal Complexity During Aging
  7. Altmetric Badge
    Chapter 140 Generation of Transplantable Retinal Pigmented Epithelial (RPE) Cells for Treatment of Age-Related Macular Degeneration (AMD)
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    Chapter 164 Metabolomic and Proteomic Analyses of Mouse Primordial Germ Cells
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    Chapter 174 Methods and Strategies for Procurement, Isolation, Characterization, and Assessment of Senescence of Human Mesenchymal Stem Cells from Adipose Tissue
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    Chapter 189 3D Age-Specific Mortality Trajectory: A Survival Analysis Protocol
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    Chapter 190 Methods for Detection of Autophagy in Mammalian Cells
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    Chapter 197 Adipogenic and Osteogenic Differentiation of In Vitro Aged Human Mesenchymal Stem Cells
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    Chapter 198 Surface Antigen-Based Identification of In Vitro Expanded Skeletal Muscle-Derived Mesenchymal Stromal/Stem Cells Using Flow Cytometry
  14. Altmetric Badge
    Chapter 199 Human Synovium-Derived Mesenchymal Stem Cells: Ex Vivo Analysis
  15. Altmetric Badge
    Chapter 200 Complete Assessment of Multilineage Differentiation Potential of Human Skeletal Muscle-Derived Mesenchymal Stem/Stromal Cells
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    Chapter 201 Human Skeletal Muscle-Derived Mesenchymal Stem/Stromal Cell Isolation and Growth Kinetics Analysis
  17. Altmetric Badge
    Chapter 207 Column-Free Method for Isolation and Culture of C-Kit Positive Stem Cells from Atrial Explants
  18. Altmetric Badge
    Chapter 208 3D-Embedded Cell Cultures to Study Tendon Biology
  19. Altmetric Badge
    Chapter 209 Isolation and Culture of Individual Myofibers and Their Adjacent Muscle Stem Cells from Aged and Adult Skeletal Muscle
  20. Altmetric Badge
    Chapter 210 Simultaneous Isolation of Stem and Niche Cells of Skeletal Muscle: Applicability for Aging Studies
  21. Altmetric Badge
    Chapter 214 Histological Assessment of Cre-loxP Genetic Recombination in the Aging Subventricular Zone of Nestin-CreER T2 /Rosa26YFP Mice
  22. Altmetric Badge
    Chapter 215 Analysis of Stem Cells and Their Activity in Human Skeletal Muscles by Immunohistochemistry
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    Chapter 216 Targeted, Amplicon-Based, Next-Generation Sequencing to Detect Age-Related Clonal Hematopoiesis
  24. Altmetric Badge
    Chapter 217 Quantifying Senescence-Associated Phenotypes in Primary Multipotent Mesenchymal Stromal Cell Cultures
  25. Altmetric Badge
    Chapter 242 Isolation, Expansion, and Characterization of Wharton’s Jelly-Derived Mesenchymal Stromal Cell: Method to Identify Functional Passages for Experiments
  26. Altmetric Badge
    Chapter 243 CRISPR Base Editing in Induced Pluripotent Stem Cells
Attention for Chapter 190: Methods for Detection of Autophagy in Mammalian Cells
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Chapter title
Methods for Detection of Autophagy in Mammalian Cells
Chapter number 190
Book title
Stem Cells and Aging
Published in
Methods in molecular biology, September 2018
DOI 10.1007/7651_2018_190
Pubmed ID
Book ISBNs
978-1-4939-9712-1, 978-1-4939-9713-8
Authors

Bindu Singh, Sangeeta Bhaskar, Singh, Bindu, Bhaskar, Sangeeta

Abstract

Autophagy is a conserved catabolic process that degrades cytoplasmic constituents in the lysosome and thus contributes to the maintenance of intracellular homeostasis. The process of autophagy has been involved in many physiological and pathological processes. Therefore, there is a developing need to identify, quantify, and manipulate the autophagic process accurately in the cells. As autophagy involves dynamic and complex processes, therefore various approaches are needed to study this process precisely. In this chapter, we have tried to elaborate the approaches and methods to monitor autophagy, with a primary focus on mammalian macroautophagy. Autophagy induction can be detected using Western blotting of LC3 (marker protein for autophagosomes) in which LC3-II levels represent the quantity of autophagosomes formed on induction to a particular stimulus. This can also be confirmed by puncta formation assay using confocal microscopy. Further, the autophagic flux can be examined using bafilomycin A1 as inhibitor of autophagosome-lysosome fusion and acidification of lysosomal compartments, thereby leading to accumulation of autophagosomes which is represented by high LC3-II levels. The autophagolysosomal degradation or proteolysis which is the last step of autophagy can be analyzed by DQ-BSA assay.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 15%
Student > Doctoral Student 8 13%
Student > Ph. D. Student 7 12%
Researcher 6 10%
Student > Postgraduate 4 7%
Other 9 15%
Unknown 17 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 32%
Agricultural and Biological Sciences 6 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Immunology and Microbiology 3 5%
Medicine and Dentistry 3 5%
Other 8 13%
Unknown 18 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 September 2018.
All research outputs
#14,362,496
of 23,103,903 outputs
Outputs from Methods in molecular biology
#4,189
of 13,222 outputs
Outputs of similar age
#188,966
of 340,695 outputs
Outputs of similar age from Methods in molecular biology
#67
of 235 outputs
Altmetric has tracked 23,103,903 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,222 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 67% 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 340,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.