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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
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    Chapter 168 Visualization and Measurement of Multiple Components of the Autophagy Flux
Attention for Chapter 83: Cloning of Autophagy-Related MicroRNAs
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Chapter title
Cloning of Autophagy-Related MicroRNAs
Chapter number 83
Book title
Autophagy in Differentiation and Tissue Maintenance
Published in
Methods in molecular biology, October 2017
DOI 10.1007/7651_2017_83
Pubmed ID
Book ISBNs
978-1-4939-8747-4, 978-1-4939-8748-1
Authors

Deniz Gulfem Ozturk, Muhammed Kocak, Devrim Gozuacik, Ozturk, Deniz Gulfem, Kocak, Muhammed, Gozuacik, Devrim

Abstract

Autophagy is a cellular survival pathway that is necessary for the degradation of cellular constituents such as long-lived proteins and damaged organelles. Conditions resulting in cellular stress such as starvation or hypoxia might activate autophagy. Being at the crossroads of various cellular response pathways, dysregulation of autophagy might result in pathological states including cancer and neurodegenerative diseases. Autophagy has also been shown to participate in stemness. MicroRNAs were introduced as novel regulators of autophagy, and accumulating results underlined the fact that they constituted an important layer of biological control mechanism on the autophagic activity.MicroRNAs are protein noncoding small RNAs that control cellular levels of transcripts and proteins through posttrancriptional mechanisms. Novel miRNAs in human and mouse genomes are yet to be identified. Considering the emerging role of autophagy in health and disease, identification of novel autophagy-regulating miRNAs and determination of relations between miRNA expression and physiological and pathological conditions might contribute to a better understanding of mechanisms governing health and disease. High-throughput techniques were developed for miRNA profiling, yet for a thorough characterization and miRNA target determination, miRNA cloning remains as an important step. Here, we describe a modified miRNA cloning method for the characterization of novel autophagy-regulating miRNAs.

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X Demographics

The data shown below were collected from the profiles of 5 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Bachelor 1 17%
Lecturer 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 17%
Agricultural and Biological Sciences 1 17%
Neuroscience 1 17%
Medicine and Dentistry 1 17%
Unknown 2 33%
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 15 November 2018.
All research outputs
#14,369,287
of 23,009,818 outputs
Outputs from Methods in molecular biology
#4,225
of 13,157 outputs
Outputs of similar age
#180,202
of 324,834 outputs
Outputs of similar age from Methods in molecular biology
#17
of 34 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 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 64% 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 324,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% 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 has gotten more attention than average, scoring higher than 50% of its contemporaries.