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A novel interaction perturbation analysis reveals a comprehensive regulatory principle underlying various biochemical oscillators

Overview of attention for article published in BMC Systems Biology, October 2017
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Title
A novel interaction perturbation analysis reveals a comprehensive regulatory principle underlying various biochemical oscillators
Published in
BMC Systems Biology, October 2017
DOI 10.1186/s12918-017-0472-7
Pubmed ID
Authors

Jun Hyuk Kang, Kwang-Hyun Cho

Abstract

Biochemical oscillations play an important role in maintaining physiological and cellular homeostasis in biological systems. The frequency and amplitude of oscillations are regulated to properly adapt to environments by numerous interactions within biomolecular networks. Despite the advances in our understanding of biochemical oscillators, the relationship between the network structure of an oscillator and its regulatory function still remains unclear. To investigate such a relationship in a systematic way, we have developed a novel analysis method called interaction perturbation analysis that enables direct modulation of the strength of every interaction and evaluates its consequence on the regulatory function. We have applied this new method to the analysis of three representative types of oscillators. The results of interaction perturbation analysis showed different regulatory features according to the network structure of the oscillator: (1) both frequency and amplitude were seldom modulated in simple negative feedback oscillators; (2) frequency could be tuned in amplified negative feedback oscillators; (3) amplitude could be modulated in the incoherently amplified negative feedback oscillators. A further analysis of naturally-occurring biochemical oscillator models supported such different regulatory features according to their network structures. Our results provide a clear evidence that different network structures have different regulatory features in modulating the oscillation frequency and amplitude. Our findings may help to elucidate the fundamental regulatory roles of network structures in biochemical oscillations.

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Ph. D. Student 2 18%
Student > Master 2 18%
Researcher 2 18%
Professor > Associate Professor 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Engineering 3 27%
Medicine and Dentistry 1 9%
Computer Science 1 9%
Unknown 3 27%
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 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from BMC Systems Biology
#836
of 1,144 outputs
Outputs of similar age
#248,437
of 324,392 outputs
Outputs of similar age from BMC Systems Biology
#14
of 22 outputs
Altmetric has tracked 23,005,189 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 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.