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p53-dependent non-coding RNA networks in chronic lymphocytic leukemia

Overview of attention for article published in Leukemia, May 2015
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2 X users

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138 Mendeley
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Article details
Title
p53-dependent non-coding RNA networks in chronic lymphocytic leukemia
Published in
Leukemia, May 2015
DOI 10.1038/leu.2015.119
Pubmed ID
Authors
Abstract

Mutations of the tumor suppressor p53 lead to chemotherapy resistance and a dismal prognosis in chronic lymphocytic leukemia (CLL). While p53 targets are used to identify patient subgroups with impaired p53 function, a comprehensive assessment of non-coding RNA targets of p53 in CLL is missing. We exploited the impaired transcriptional activity of mutant p53 to map out p53 targets in CLL by small RNA sequencing. We describe the landscape of p53-dependent miRNA/non-coding RNA induced in response to DNA damage in CLL. Besides the key p53 target miR-34a, we identify a set of p53-dependent miRNAs (miR-182-5p, miR-7-5p, miR-320c/d). In addition to miRNAs, the long non-coding RNAs (lncRNAs) NEAT1 and lincRNA-p21 are induced in response to DNA damage in the presence of functional p53 but not in CLL with p53 mutation. Induction of NEAT1 and lincRNA-p21 closely correlated to the induction of cell death after DNA damage. We used isogenic lymphoma cell line models to prove p53 dependence of NEAT1 and lincRNA-p21. The current work describes the p53-dependent miRNome and identifies lncRNAs NEAT1 and lincRNA-p21 as novel elements of the p53-dependent DNA damage response machinery in CLL and lymphoma.Leukemia accepted article preview online, 14 May 2015. doi:10.1038/leu.2015.119.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 138 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 138 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 21%
Researcher 24 17%
Student > Master 15 11%
Student > Doctoral Student 10 7%
Student > Bachelor 8 6%
Other 23 17%
Unknown 29 21%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 30%
Agricultural and Biological Sciences 32 23%
Medicine and Dentistry 14 10%
Immunology and Microbiology 5 4%
Chemistry 2 1%
Other 9 7%
Unknown 35 25%
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 27 January 2016.
All research outputs
#23,012,902
of 34,043,423 outputs
Outputs from Leukemia
#6,209
of 7,321 outputs
Outputs of similar age
#188,247
of 306,424 outputs
Outputs of similar age from Leukemia
#40
of 59 outputs
Altmetric has tracked 34,043,423 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,321 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 13th percentile – i.e., 13% 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 306,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.