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When ubiquitination meets phosphorylation: a systems biology perspective of EGFR/MAPK signalling

Overview of attention for article published in Cell Communication and Signaling, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
157 Dimensions

Readers on

mendeley
255 Mendeley
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Title
When ubiquitination meets phosphorylation: a systems biology perspective of EGFR/MAPK signalling
Published in
Cell Communication and Signaling, July 2013
DOI 10.1186/1478-811x-11-52
Pubmed ID
Authors

Lan K Nguyen, Walter Kolch, Boris N Kholodenko

Abstract

Ubiquitination, the covalent attachment of ubiquitin to target proteins, has emerged as a ubiquitous post-translational modification (PTM) whose function extends far beyond its original role as a tag for protein degradation identified three decades ago. Although sharing parallel properties with phosphorylation, ubiquitination distinguishes itself in important ways. Nevertheless, the interplay and crosstalk between ubiquitination and phosphorylation events have become a recurrent theme in cell signalling regulation. Understanding how these two major PTMs intersect to regulate signal transduction is an important research question. In this review, we first discuss the involvement of ubiquitination in the regulation of the EGF-mediated ERK signalling pathway via the EGF receptor, highlighting the interplay between ubiquitination and phosphorylation in this cancer-implicated system and addressing open questions. The roles of ubiquitination in pathways crosstalking to EGFR/MAPK signalling will then be discussed. In the final part of the review, we demonstrate the rich and versatile dynamics of crosstalk between ubiquitination and phosphorylation by using quantitative modelling and analysis of network motifs commonly observed in cellular processes. We argue that given the overwhelming complexity arising from inter-connected PTMs, a quantitative framework based on systems biology and mathematical modelling is needed to efficiently understand their roles in cell signalling.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Germany 1 <1%
France 1 <1%
Unknown 251 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 32%
Researcher 34 13%
Student > Master 30 12%
Student > Bachelor 17 7%
Student > Doctoral Student 14 5%
Other 41 16%
Unknown 37 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 32%
Biochemistry, Genetics and Molecular Biology 70 27%
Medicine and Dentistry 13 5%
Chemistry 10 4%
Immunology and Microbiology 9 4%
Other 24 9%
Unknown 47 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 03 December 2022.
All research outputs
#2,759,854
of 25,373,627 outputs
Outputs from Cell Communication and Signaling
#65
of 1,499 outputs
Outputs of similar age
#23,051
of 209,801 outputs
Outputs of similar age from Cell Communication and Signaling
#1
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,499 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% 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 209,801 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
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 all of them