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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DNA Hydroxymethylation Profiling Reveals that WT1 Mutations Result in Loss of TET2 Function in Acute Myeloid Leukemia
|
|---|---|
| Published in |
Cell Reports, December 2014
|
| DOI | 10.1016/j.celrep.2014.11.004 |
| Pubmed ID | |
| Authors |
Raajit Rampal, Altuna Alkalin, Jozef Madzo, Aparna Vasanthakumar, Elodie Pronier, Jay Patel, Yushan Li, Jihae Ahn, Omar Abdel-Wahab, Alan Shih, Chao Lu, Patrick S. Ward, Jennifer J. Tsai, Todd Hricik, Valeria Tosello, Jacob E. Tallman, Xinyang Zhao, Danette Daniels, Qing Dai, Luisa Ciminio, Iannis Aifantis, Chuan He, Francois Fuks, Martin S. Tallman, Adolfo Ferrando, Stephen Nimer, Elisabeth Paietta, Craig B. Thompson, Jonathan D. Licht, Christopher E. Mason, Lucy A. Godley, Ari Melnick, Maria E. Figueroa, Ross L. Levine |
| Abstract |
Somatic mutations in IDH1/IDH2 and TET2 result in impaired TET2-mediated conversion of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC). The observation that WT1 inactivating mutations anticorrelate with TET2/IDH1/IDH2 mutations in acute myeloid leukemia (AML) led us to hypothesize that WT1 mutations may impact TET2 function. WT1 mutant AML patients have reduced 5hmC levels similar to TET2/IDH1/IDH2 mutant AML. These mutations are characterized by convergent, site-specific alterations in DNA hydroxymethylation, which drive differential gene expression more than alterations in DNA promoter methylation. WT1 overexpression increases global levels of 5hmC, and WT1 silencing reduced 5hmC levels. WT1 physically interacts with TET2 and TET3, and WT1 loss of function results in a similar hematopoietic differentiation phenotype as observed with TET2 deficiency. These data provide a role for WT1 in regulating DNA hydroxymethylation and suggest that TET2 IDH1/IDH2 and WT1 mutations define an AML subtype defined by dysregulated DNA hydroxymethylation. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 78% |
| Germany | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Puerto Rico | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 253 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 23% |
| Researcher | 55 | 21% |
| Student > Master | 21 | 8% |
| Student > Bachelor | 21 | 8% |
| Student > Doctoral Student | 19 | 7% |
| Other | 42 | 16% |
| Unknown | 46 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 83 | 31% |
| Agricultural and Biological Sciences | 61 | 23% |
| Medicine and Dentistry | 45 | 17% |
| Computer Science | 4 | 2% |
| Mathematics | 3 | 1% |
| Other | 15 | 6% |
| Unknown | 53 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 October 2022.
All research outputs
#4,211,985
of 25,394,764 outputs
Outputs from Cell Reports
#7,371
of 12,973 outputs
Outputs of similar age
#55,534
of 368,213 outputs
Outputs of similar age from Cell Reports
#85
of 173 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one is in the 43rd percentile – i.e., 43% 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 368,213 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 84% of its contemporaries.
We're also able to compare this research output to 173 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 50% of its contemporaries.