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Rational Optimization of a Bispecific Ligand Trap Targeting EGF Receptor Family Ligands

Overview of attention for article published in Molecular Medicine, January 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

patent
3 patents

Citations

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11 Dimensions

Readers on

mendeley
33 Mendeley
Title
Rational Optimization of a Bispecific Ligand Trap Targeting EGF Receptor Family Ligands
Published in
Molecular Medicine, January 2009
DOI 10.2119/molmed.2008.00103
Pubmed ID
Authors

Pei Jin, Juan Zhang, Malgorzata Beryt, Lisa Turin, Cathleen Brdlik, Ying Feng, Xiaomei Bai, Jim Liu, Brett Jorgensen, H. Michael Shepard

Abstract

The human epidermal growth factor (EGF) receptor (HER) family members cooperate in malignancy. Of this family, HER2 does not bind growth factors and HER3 does not encode an active tyrosine kinase. This diversity creates difficulty in creating pan-specific therapeutic HER family inhibitors. We have identified single amino acid changes in epidermal growth factor receptor (EGFR) and HER3 which create high affinity sequestration of the cognate ligands, and may be used as receptor decoys to downregulate aberrant HER family activity. In silico modeling and high throughput mutagenesis were utilized to identify receptor mutants with very high ligand binding activity. A single mutation (T15S; EGFR subdomain I) enhanced affinity for EGF (two-fold), TGF-alpha (twenty-six-fold), and heparin-binding (HB)-EGF (six-fold). This indicates that T15 is an important, previously undescribed, negative regulatory amino acid for EGFR ligand binding. Another mutation (Y246A; HER 3 subdomain II) enhanced neuregulin (NRG)1-beta binding eight-fold, probably by interfering with subdomain II-IV interactions. Further work revealed that the HER3 subunit of an EGFR:HER3 heterodimer suppresses EGFR ligand binding. Optimization required reversing this suppression by mutation of the EGFR tether domain (G564A; subdomain IV). This mutation resulted in enhanced ligand binding (EGF, ten-fold; TGF-alpha, thirty-four-fold; HB-EGF, seventeen-fold; NRG1-beta, thirty-one-fold). This increased ligand binding was reflected in improved inhibition of in vitro tumor cell proliferation and tumor suppression in a human non-small cell lung cancer xenograft model. In conclusion, amino acid substitutions were identified in the EGFR and HER3 ECDs that enhance ligand affinity, potentially enabling a pan-specific therapeutic approach for downregulating the HER family in cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
United Kingdom 1 3%
France 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 33%
Professor > Associate Professor 5 15%
Student > Ph. D. Student 5 15%
Other 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 58%
Biochemistry, Genetics and Molecular Biology 5 15%
Medicine and Dentistry 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 March 2015.
All research outputs
#4,760,740
of 23,036,991 outputs
Outputs from Molecular Medicine
#188
of 1,150 outputs
Outputs of similar age
#26,552
of 170,139 outputs
Outputs of similar age from Molecular Medicine
#4
of 4 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,150 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 75% 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 170,139 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 78% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.