↓ Skip to main content

Integrative genetic analysis of mouse and human AML identifies cooperating disease alleles

Overview of attention for article published in The Journal of Experimental Medicine, December 2015
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
53 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Integrative genetic analysis of mouse and human AML identifies cooperating disease alleles
Published in
The Journal of Experimental Medicine, December 2015
DOI 10.1084/jem.20150524
Pubmed ID
Authors

Megan A. Hatlen, Kanika Arora, Vladimir Vacic, Ewa A. Grabowska, Willey Liao, Bridget Riley-Gillis, Dayna M. Oschwald, Lan Wang, Jacob E. Joergens, Alan H. Shih, Franck Rapaport, Shengqing Gu, Francesca Voza, Takashi Asai, Benjamin G. Neel, Michael G. Kharas, Mithat Gonen, Ross L. Levine, Stephen D. Nimer

Abstract

t(8;21) is one of the most frequent chromosomal abnormalities observed in acute myeloid leukemia (AML). However, expression of AML1-ETO is not sufficient to induce transformation in vivo. Consistent with this observation, patients with this translocation harbor additional genetic abnormalities, suggesting a requirement for cooperating mutations. To better define the genetic landscape in AML and distinguish driver from passenger mutations, we compared the mutational profiles of AML1-ETO-driven mouse models of leukemia with the mutational profiles of human AML patients. We identified TET2 and PTPN11 mutations in both mouse and human AML and then demonstrated the ability of Tet2 loss and PTPN11 D61Y to initiate leukemogenesis in concert with expression of AML1-ETO in vivo. This integrative genetic profiling approach allowed us to accurately predict cooperating events in t(8;21)(+) AML in a robust and unbiased manner, while also revealing functional convergence in mouse and human AML.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 11 21%
Student > Doctoral Student 5 9%
Professor 5 9%
Student > Master 4 8%
Other 7 13%
Unknown 9 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 32%
Agricultural and Biological Sciences 12 23%
Medicine and Dentistry 10 19%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Immunology and Microbiology 1 2%
Other 3 6%
Unknown 9 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 28 January 2016.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from The Journal of Experimental Medicine
#11,310
of 11,600 outputs
Outputs of similar age
#275,774
of 396,115 outputs
Outputs of similar age from The Journal of Experimental Medicine
#36
of 37 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 396,115 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.