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The Mitotic Spindle

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Attention for Chapter 23: The Mitotic Spindle
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Chapter title
The Mitotic Spindle
Chapter number 23
Book title
The Mitotic Spindle
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3542-0_23
Pubmed ID
Book ISBNs
978-1-4939-3540-6, 978-1-4939-3542-0
Authors

Kwon, Mijung, Mijung Kwon

Editors

Paul Chang, Ryoma Ohi

Abstract

The link between centrosome amplification and cancer has been recognized for more than a century, raising many key questions about the biology of both normal and cancer cells. In particular, the presence of extra centrosomes imposes a great challenge to a dividing cell by increasing the likelihood of catastrophic multipolar divisions. Only recently have we begun to understand how cancer cells successfully divide by clustering their extra centrosomes for bipolar division. Several hurdles to dissecting centrosome clustering include limitations in the methodologies used to quantify centrosome amplification, and the lack of appropriate cell culture models. Here, we describe how to accurately assess centrosome number and create isogenic cell lines with or without centrosome amplification. We then describe how imaging of cell division in these cell culture models leads to identification of the molecular machinery uniquely required for cells with extra centrosomes. These approaches have led to the identification of molecular targets for selective cancer therapeutics that can kill cancer cells with extra centrosomes without affecting normal cells with two centrosomes. We further anticipate that the approaches described here will be broadly applicable for studying the causes and consequences of centrosome amplification in a variety of contexts across cancer pathophysiology, such as cell migration and metastasis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Bachelor 3 30%
Student > Postgraduate 1 10%
Student > Master 1 10%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 50%
Biochemistry, Genetics and Molecular Biology 2 20%
Chemistry 1 10%
Unknown 2 20%
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 20 May 2016.
All research outputs
#18,459,684
of 22,873,031 outputs
Outputs from Methods in molecular biology
#7,924
of 13,130 outputs
Outputs of similar age
#284,526
of 393,675 outputs
Outputs of similar age from Methods in molecular biology
#846
of 1,471 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,130 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 393,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.