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Phenotypic Characterization of a Comprehensive Set of MAPK1/ERK2 Missense Mutants

Overview of attention for article published in Cell Reports, October 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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23 X users
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1 patent

Citations

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122 Dimensions

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153 Mendeley
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Title
Phenotypic Characterization of a Comprehensive Set of MAPK1/ERK2 Missense Mutants
Published in
Cell Reports, October 2016
DOI 10.1016/j.celrep.2016.09.061
Pubmed ID
Authors

Lisa Brenan, Aleksandr Andreev, Ofir Cohen, Sasha Pantel, Atanas Kamburov, Davide Cacchiarelli, Nicole S. Persky, Cong Zhu, Mukta Bagul, Eva M. Goetz, Alex B. Burgin, Levi A. Garraway, Gad Getz, Tarjei S. Mikkelsen, Federica Piccioni, David E. Root, Cory M. Johannessen

Abstract

Tumor-specific genomic information has the potential to guide therapeutic strategies and revolutionize patient treatment. Currently, this approach is limited by an abundance of disease-associated mutants whose biological functions and impacts on therapeutic response are uncharacterized. To begin to address this limitation, we functionally characterized nearly all (99.84%) missense mutants of MAPK1/ERK2, an essential effector of oncogenic RAS and RAF. Using this approach, we discovered rare gain- and loss-of-function ERK2 mutants found in human tumors, revealing that, in the context of this assay, mutational frequency alone cannot identify all functionally impactful mutants. Gain-of-function ERK2 mutants induced variable responses to RAF-, MEK-, and ERK-directed therapies, providing a reference for future treatment decisions. Tumor-associated mutations spatially clustered in two ERK2 effector-recruitment domains yet produced mutants with opposite phenotypes. This approach articulates an allele-characterization framework that can be scaled to meet the goals of genome-guided oncology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Sweden 1 <1%
Australia 1 <1%
Unknown 150 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 30%
Researcher 42 27%
Student > Master 9 6%
Student > Bachelor 7 5%
Other 7 5%
Other 12 8%
Unknown 30 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 35%
Agricultural and Biological Sciences 29 19%
Medicine and Dentistry 10 7%
Chemistry 8 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 15 10%
Unknown 33 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 16 June 2022.
All research outputs
#2,485,980
of 25,374,917 outputs
Outputs from Cell Reports
#5,414
of 12,960 outputs
Outputs of similar age
#41,795
of 332,577 outputs
Outputs of similar age from Cell Reports
#125
of 300 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 58% 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 332,577 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 87% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.