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Mouse Oocyte Development

Overview of attention for book
Attention for Chapter 11: Detection of Separase Activity Using a Cleavage Sensor in Live Mouse Oocytes
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About this Attention Score

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

Mentioned by

twitter
8 tweeters

Citations

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2 Dimensions

Readers on

mendeley
22 Mendeley
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Chapter title
Detection of Separase Activity Using a Cleavage Sensor in Live Mouse Oocytes
Chapter number 11
Book title
Mouse Oocyte Development
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8603-3_11
Pubmed ID
Book ISBNs
978-1-4939-8602-6, 978-1-4939-8603-3
Authors

Elvira Nikalayevich, Nora Bouftas, Katja Wassmann, Nikalayevich, Elvira, Bouftas, Nora, Wassmann, Katja

Abstract

Separase proteolytically removes cohesin complexes from sister chromatid arms in meiosis I, which is essential for chromosome segregation. Regulation of separase activity is essential for proper cell cycle progression and correct chromosome segregation. Onset of endogenous separase activity has not yet been observed in live oocytes.We describe here a method for detecting separase activity in mouse oocytes in vivo. This method utilizes a previously described cleavage sensor made up of H2B-mCherry fused with Scc1(107-268 aa)-YFP. The cleavage sensor is loaded on the chromosomes through its H2B-tag, and the signal from both mCherry and YFP is visible. Upon separase activation the Scc1 fragment is cleaved and YFP dissociates from the chromosomes. The change in the ratio between mCherry and YFP fluorescence intensity is a readout of separase activity.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Master 4 18%
Student > Ph. D. Student 2 9%
Other 1 5%
Unspecified 1 5%
Other 3 14%
Unknown 7 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 32%
Agricultural and Biological Sciences 5 23%
Unspecified 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Engineering 1 5%
Other 0 0%
Unknown 7 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 July 2018.
All research outputs
#5,550,343
of 21,192,559 outputs
Outputs from Methods in molecular biology
#1,570
of 11,944 outputs
Outputs of similar age
#94,742
of 296,919 outputs
Outputs of similar age from Methods in molecular biology
#1
of 1 outputs
Altmetric has tracked 21,192,559 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,944 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 86% 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 296,919 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 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them