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Aurora A, MCAK, and Kif18b promote Eg5-independent spindle formation

Overview of attention for article published in Chromosoma, June 2016
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Title
Aurora A, MCAK, and Kif18b promote Eg5-independent spindle formation
Published in
Chromosoma, June 2016
DOI 10.1007/s00412-016-0607-4
Pubmed ID
Authors

Roy G. H. P. van Heesbeen, Jonne A. Raaijmakers, Marvin E. Tanenbaum, Vincentius A. Halim, Daphne Lelieveld, Cor Lieftink, Albert J. R. Heck, David A. Egan, René H. Medema

Abstract

Inhibition of the microtubule (MT) motor protein Eg5 results in a mitotic arrest due to the formation of monopolar spindles, making Eg5 an attractive target for anti-cancer therapies. However, Eg5-independent pathways for bipolar spindle formation exist, which might promote resistance to treatment with Eg5 inhibitors. To identify essential components for Eg5-independent bipolar spindle formation, we performed a genome-wide siRNA screen in Eg5-independent cells (EICs). We find that the kinase Aurora A and two kinesins, MCAK and Kif18b, are essential for bipolar spindle assembly in EICs and in cells with reduced Eg5 activity. Aurora A promotes bipolar spindle assembly by phosphorylating Kif15, hereby promoting Kif15 localization to the spindle. In turn, MCAK and Kif18b promote bipolar spindle assembly by destabilizing the astral MTs. One attractive way to interpret our data is that, in the absence of MCAK and Kif18b, excessive astral MTs generate inward pushing forces on centrosomes at the cortex that inhibit centrosome separation. Together, these data suggest a novel function for astral MTs in force generation on spindle poles and how proteins involved in regulating microtubule length can contribute to bipolar spindle assembly.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 34%
Researcher 9 17%
Student > Bachelor 6 11%
Student > Master 5 9%
Professor 2 4%
Other 5 9%
Unknown 8 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 55%
Agricultural and Biological Sciences 9 17%
Medicine and Dentistry 5 9%
Social Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 8 15%
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 29 March 2018.
All research outputs
#14,268,160
of 22,880,230 outputs
Outputs from Chromosoma
#552
of 758 outputs
Outputs of similar age
#201,642
of 352,012 outputs
Outputs of similar age from Chromosoma
#3
of 9 outputs
Altmetric has tracked 22,880,230 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 758 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 25th percentile – i.e., 25% 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 352,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.