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Global study of holistic morphological effectors in the budding yeast Saccharomyces cerevisiae

Overview of attention for article published in BMC Genomics, February 2018
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Title
Global study of holistic morphological effectors in the budding yeast Saccharomyces cerevisiae
Published in
BMC Genomics, February 2018
DOI 10.1186/s12864-018-4526-z
Pubmed ID
Authors

Godai Suzuki, Yang Wang, Karen Kubo, Eri Hirata, Shinsuke Ohnuki, Yoshikazu Ohya

Abstract

The size of the phenotypic effect of a gene has been thoroughly investigated in terms of fitness and specific morphological traits in the budding yeast Saccharomyces cerevisiae, but little is known about gross morphological abnormalities. We identified 1126 holistic morphological effectors that cause severe gross morphological abnormality when deleted, and 2241 specific morphological effectors with weak holistic effects but distinctive effects on yeast morphology. Holistic effectors fell into many gene function categories and acted as network hubs, affecting a large number of morphological traits, interacting with a large number of genes, and facilitating high protein expression. Holistic morphological abnormality was useful for estimating the importance of a gene to morphology. The contribution of gene importance to fitness and morphology could be used to efficiently classify genes into functional groups. Holistic morphological abnormality can be used as a reproducible and reliable gene feature for high-dimensional morphological phenotyping. It can be used in many functional genomic applications.

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The data shown below were collected from the profiles of 2 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 34%
Researcher 4 14%
Student > Ph. D. Student 3 10%
Student > Bachelor 3 10%
Professor 2 7%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 28%
Agricultural and Biological Sciences 7 24%
Engineering 3 10%
Chemistry 3 10%
Environmental Science 1 3%
Other 2 7%
Unknown 5 17%
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 11 February 2022.
All research outputs
#18,294,766
of 23,498,099 outputs
Outputs from BMC Genomics
#7,711
of 10,787 outputs
Outputs of similar age
#242,221
of 332,199 outputs
Outputs of similar age from BMC Genomics
#142
of 192 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.