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Oncogene-Induced Senescence

Overview of attention for book
Cover of 'Oncogene-Induced Senescence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Immortal Senescence
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    Chapter 2 Senescence Phenotypes Induced by Ras in Primary Cells
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    Chapter 3 Cellular Model of p21-Induced Senescence
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    Chapter 4 Detecting Markers of Therapy-Induced Senescence in Cancer Cells
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    Chapter 5 Genome-Wide miRNA Screening for Genes Bypassing Oncogene-Induced Senescence
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    Chapter 6 Detection of Dysfunctional Telomeres in Oncogene-Induced Senescence
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    Chapter 7 RT-qPCR Detection of Senescence-Associated Circular RNAs
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    Chapter 8 Oncogene-Induced Senescence
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    Chapter 9 Detecting the Senescence-Associated Secretory Phenotype (SASP) by High Content Microscopy Analysis
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    Chapter 10 Sudan Black B, The Specific Histochemical Stain for Lipofuscin: A Novel Method to Detect Senescent Cells
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    Chapter 11 Using [U- 13 C 6 ]-Glucose Tracer to Study Metabolic Changes in Oncogene-Induced Senescence Fibroblasts
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    Chapter 12 Detection of the Ubiquitinome in Cells Undergoing Oncogene-Induced Senescence
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    Chapter 13 Detection of Reactive Oxygen Species in Cells Undergoing Oncogene-Induced Senescence
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    Chapter 14 Detection of Senescent Cells by Extracellular Markers Using a Flow Cytometry-Based Approach
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    Chapter 15 Metabolic Changes Investigated by Proton NMR Spectroscopy in Cells Undergoing Oncogene-Induced Senescence
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    Chapter 16 Oncogene-Induced Senescence
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    Chapter 17 Senescence-Like Phenotypes in Human Nevi
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    Chapter 18 Detection of Oncogene-Induced Senescence In Vivo
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    Chapter 19 Detection of Senescence Markers During Mammalian Embryonic Development
  21. Altmetric Badge
    Chapter 20 Induction and Detection of Oncogene-Induced Cellular Senescence in Drosophila
Attention for Chapter 3: Cellular Model of p21-Induced Senescence
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Citations

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Chapter title
Cellular Model of p21-Induced Senescence
Chapter number 3
Book title
Oncogene-Induced Senescence
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6670-7_3
Pubmed ID
Book ISBNs
978-1-4939-6668-4, 978-1-4939-6670-7
Authors

Michael Shtutman, Bey-Dih Chang, Gary P. Schools, Eugenia V. Broude, Shtutman, Michael, Chang, Bey-Dih, Schools, Gary P., Broude, Eugenia V.

Abstract

Cellular senescence is a unique process of normal physiology, from embryonic development to aging, also known for its association with a broad range of pathological conditions. Therefore a reliable model of cellular senescence remains an indispensable tool for the investigation of senescence-associated changes and human disease. Here we describe a model of HT1080 fibrosarcoma cells with an inducible senescence phenotype. These cells are equipped with the lac repressor and exogenous p21 under the control of a lac repressor regulated promoter. The senescent phenotype is induced in these cells by isopropyl-β-D-thiogalactopyranoside (IPTG)-inducible expression of senescence-associated cell cycle inhibitor p21(Waf1/Cip1/Sdi1).

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Student > Ph. D. Student 13 13%
Student > Bachelor 11 11%
Researcher 9 9%
Student > Doctoral Student 3 3%
Other 9 9%
Unknown 39 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 31%
Medicine and Dentistry 9 9%
Agricultural and Biological Sciences 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Immunology and Microbiology 3 3%
Other 4 4%
Unknown 40 41%
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 27 October 2022.
All research outputs
#7,020,339
of 22,979,862 outputs
Outputs from Methods in molecular biology
#2,105
of 13,148 outputs
Outputs of similar age
#130,923
of 421,122 outputs
Outputs of similar age from Methods in molecular biology
#231
of 1,074 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 13,148 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 421,122 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 68% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.