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Autophagy in Differentiation and Tissue Maintenance

Overview of attention for book
Cover of 'Autophagy in Differentiation and Tissue Maintenance'

Table of Contents

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    Book Overview
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    Chapter 64 Skeletal Muscle Lysosomal Function via Cathepsin Activity Measurement
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    Chapter 65 Autophagy in Adipocyte Differentiation
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    Chapter 66 Determination of Autophagy in the Caco-2 Spontaneously Differentiating Model of Intestinal Epithelial Cells
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    Chapter 67 The Detection Techniques for Autophagy-Associated Cell Death-Related Genes and Proteins: Gene Expression Assay and Immunohistochemistry
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    Chapter 83 Cloning of Autophagy-Related MicroRNAs
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    Chapter 84 Simultaneous Detection of Autophagy and Epithelial to Mesenchymal Transition in the Non-small Cell Lung Cancer Cells
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    Chapter 122 Methods for Monitoring Autophagy in Silkworm Organs
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    Chapter 123 Assessing Autophagy in the Leydig Cells
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    Chapter 124 Immunofluorescence Staining Protocols for Major Autophagy Proteins Including LC3, P62, and ULK1 in Mammalian Cells in Response to Normoxia and Hypoxia.
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    Chapter 125 Identification of Novel Autophagy Inhibitors via Cell-Based High-Content Screening
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    Chapter 157 Assays to Monitor Aggrephagy in Drosophila Brain
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    Chapter 158 Porcine Cell-Free System to Study Mammalian Sperm Mitophagy
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    Chapter 159 Monitoring and Measuring Mammalian Autophagy
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    Chapter 160 Autophagy in Zebrafish Extraocular Muscle Regeneration
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    Chapter 166 Induction and Detection of Autophagy in Aged Hematopoietic Stem Cells by Exposing Them to Microvesicles Secreted by HSC-Supportive Mesenchymal Stromal Cells
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    Chapter 167 Mitochondrial Redox Sensor for Drosophila Female Germline Stem Cells
  18. Altmetric Badge
    Chapter 168 Visualization and Measurement of Multiple Components of the Autophagy Flux
Attention for Chapter 166: Induction and Detection of Autophagy in Aged Hematopoietic Stem Cells by Exposing Them to Microvesicles Secreted by HSC-Supportive Mesenchymal Stromal Cells
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Chapter title
Induction and Detection of Autophagy in Aged Hematopoietic Stem Cells by Exposing Them to Microvesicles Secreted by HSC-Supportive Mesenchymal Stromal Cells
Chapter number 166
Book title
Autophagy in Differentiation and Tissue Maintenance
Published in
Methods in molecular biology, June 2018
DOI 10.1007/7651_2018_166
Pubmed ID
Book ISBNs
978-1-4939-8747-4, 978-1-4939-8748-1
Authors

Rohan S. Kulkarni, Manmohan S. Bajaj, Vaijayanti P. Kale, Kulkarni, Rohan S., Bajaj, Manmohan S., Kale, Vaijayanti P.

Abstract

Autophagy is an important cellular process for maintenance of quality and functionality of cells. This happens through repair and renewal of cellular components like proteins and mitochondria. Reduction in autophagy process in aged hematopoietic stem cells (HSCs) leads to their compromised stemness and self-renewal capacity, and consequently, their applicability in various regenerative therapies also reduces. HSC functions are regulated by their microenvironment, known as "HSC niche," which comprises of mesenchymal stromal cells (MSCs), osteoblasts, endothelial cells, etc. In this niche, the MSCs are known to closely interact with the HSCs, and therefore, they can directly influence the stem cell fate. In our earlier studies, we have demonstrated that young MSCs or aged MSCs rejuvenated by treating them with LY294002, a PI3K inhibitor (rescued aged MSCs), rejuvenate aged HSCs via intercellular transfer of microvesicles (MVs) harboring autophagy-inducing mRNAs.Here, we describe the protocol for induction of autophagy in aged HSCs by incubating them with microvesicles (MVs) collected from young MSCs or rescued aged MSCs. We also describe the protocols for determination of autophagy levels in these HSCs.

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The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Master 3 16%
Researcher 2 11%
Student > Bachelor 1 5%
Other 1 5%
Other 1 5%
Unknown 8 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 42%
Nursing and Health Professions 1 5%
Agricultural and Biological Sciences 1 5%
Medicine and Dentistry 1 5%
Unknown 8 42%
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 05 June 2019.
All research outputs
#17,982,872
of 23,094,276 outputs
Outputs from Methods in molecular biology
#7,315
of 13,207 outputs
Outputs of similar age
#238,064
of 329,256 outputs
Outputs of similar age from Methods in molecular biology
#18
of 34 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 329,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.