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Oncogenic N-Ras and Tet2 haploinsufficiency collaborate to dysregulate hematopoietic stem and progenitor cells

Overview of attention for article published in Blood Advances, June 2018
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Article details
Title
Oncogenic N-Ras and Tet2 haploinsufficiency collaborate to dysregulate hematopoietic stem and progenitor cells
Published in
Blood Advances, June 2018
DOI 10.1182/bloodadvances.2018017400
Pubmed ID
Authors
Abstract

Concurrent genetic lesions exist in a majority of patients with hematologic malignancies. Among these, somatic mutations that activate RAS oncogenes and inactivate the epigenetic modifier ten-eleven translocation 2 (TET2) frequently co-occur in human chronic myelomonocytic leukemias (CMMLs) and acute myeloid leukemias, suggesting a cooperativity in malignant transformation. To test this, we applied a conditional murine model that endogenously expressed oncogenic Nras G12D and monoallelic loss of Tet2 and explored the collaborative role specifically within hematopoietic stem and progenitor cells (HSPCs) at disease initiation. We demonstrate that the 2 mutations collaborated to accelerate a transplantable CMML-like disease in vivo, with an overall shortened survival and increased disease penetrance compared with single mutants. At preleukemic stage, N-RasG12D and Tet2 haploinsufficiency together induced balanced hematopoietic stem cell (HSC) proliferation and enhanced competitiveness. NrasG12D/+/Tet2+/- HSCs displayed increased self-renewal in primary and secondary transplantations, with significantly higher reconstitution than single mutants. Strikingly, the 2 mutations together conferred long-term reconstitution and self-renewal potential to multipotent progenitors, a pool of cells that usually have limited self-renewal compared with HSCs. Moreover, HSPCs from NrasG12D/+/Tet2+/- mice displayed increased cytokine sensitivity in response to thrombopoietin. Therefore, our studies establish a novel tractable CMML model and provide insights into how dysregulated signaling pathways and epigenetic modifiers collaborate to modulate HSPC function and promote leukemogenesis.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Researcher 3 8%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Other 3 8%
Unknown 18 50%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 28%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 8%
Immunology and Microbiology 1 3%
Unknown 18 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2018.
All research outputs
#17,129,606
of 25,918,104 outputs
Outputs from Blood Advances
#2,377
of 3,324 outputs
Outputs of similar age
#213,568
of 345,978 outputs
Outputs of similar age from Blood Advances
#75
of 84 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,324 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 28th percentile – i.e., 28% 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 345,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.