↓ Skip to main content

Interplay between NRF1, E2F4 and MYC transcription factors regulating common target genes contributes to cancer development and progression

Overview of attention for article published in Cellular Oncology, July 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
35 Mendeley
Title
Interplay between NRF1, E2F4 and MYC transcription factors regulating common target genes contributes to cancer development and progression
Published in
Cellular Oncology, July 2018
DOI 10.1007/s13402-018-0395-3
Pubmed ID
Authors

Kaumudi Bhawe, Deodutta Roy

Abstract

Nuclear respiratory factor 1 (NRF1), historically perceived as a protein regulating genes controlling mitochondrial biogenesis, is now widely recognized as a multifunctional protein and as a key player in the transcriptional modulation of genes implicated in various cellular functions. Here, we present emerging data supporting novel roles of NRF1 in cancer development and progression through its interplay with the transcription factors E2F4 and MYC. To identify common human NRF1, E2F4 and MYC target genes, we analyzed the Encyclopedia of DNA Elements (ENCODE) NRF1 ChIP-Seq data. By doing so, we identified 9253 common target genes with NRF1, E2F4 and MYC binding motifs. NRF1 binding motifs were found to be present in genes operating in signaling pathways governing all hallmarks of malignant transformation and progression, including proliferation, invasion, self-renewal and apoptosis. In addition to controlling mitochondrial biogenesis NRF1, in conjunction with E2F4 and MYC, may play a critical role in the acquisition of human cancer characteristics. Additionally, NRF1 may orchestrate both MYC and E2F4 to regulate common target genes linked to multiple networks in the development and progression of cancer. A comprehensive understanding of this dynamic interplay will set the stage, not only for the design of novel treatment strategies, but also for the discovery of pan-cellular transcription factor regulatory strategies to predict cancer risk, therapy response and patient prognosis.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 14%
Researcher 5 14%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 4 11%
Student > Bachelor 4 11%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 46%
Agricultural and Biological Sciences 3 9%
Medicine and Dentistry 2 6%
Immunology and Microbiology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 10 29%
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 27 July 2018.
All research outputs
#21,498,958
of 23,999,200 outputs
Outputs from Cellular Oncology
#316
of 426 outputs
Outputs of similar age
#292,776
of 333,723 outputs
Outputs of similar age from Cellular Oncology
#7
of 9 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 426 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 1st percentile – i.e., 1% 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 333,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.