↓ Skip to main content

Frequent Engagement of RelB Activation Is Critical for Cell Survival in Multiple Myeloma

Overview of attention for article published in PLOS ONE, March 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
42 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
Frequent Engagement of RelB Activation Is Critical for Cell Survival in Multiple Myeloma
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059127
Pubmed ID
Authors

Françoise Cormier, Hélène Monjanel, Claire Fabre, Katy Billot, Elène Sapharikas, Fanny Chereau, Didier Bordereaux, Thierry J. Molina, Hervé Avet-Loiseau, Véronique Baud

Abstract

The NF-κB family of transcription factors has emerged as a key player in the pathogenesis of multiple myeloma (MM). NF-κB is activated by at least two major signaling pathways. The classical pathway results in the activation of mainly RelA containing dimers, whereas the alternative pathway leads to the activation of RelB/p52 and RelB/p50 heterodimers. Activating mutations in regulators of the alternative pathway have been identified in 17% of MM patients. However, the status of RelB activation per se and its role in the regulation of cell survival in MM has not been investigated. Here, we reveal that 40% of newly diagnosed MM patients have a constitutive RelB DNA-binding activity in CD138(+) tumor cells, and we show an association with increased expression of a subset of anti-apoptotic NF-κB target genes, such as cIAP2. Furthermore, we demonstrate that RelB exerts a crucial anti-apoptotic activity in MM cells. Our findings indicate that RelB activation is key for promoting MM cell survival through the upregulation of anti-apoptotic proteins. Altogether, our study provides the framework for the development of new molecules targeting RelB in the treatment of MM.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Ph. D. Student 7 17%
Student > Bachelor 6 14%
Student > Master 6 14%
Other 5 12%
Other 5 12%
Unknown 6 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 26%
Medicine and Dentistry 9 21%
Agricultural and Biological Sciences 8 19%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Immunology and Microbiology 2 5%
Other 3 7%
Unknown 7 17%
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 09 April 2013.
All research outputs
#13,380,993
of 22,703,044 outputs
Outputs from PLOS ONE
#106,657
of 193,827 outputs
Outputs of similar age
#105,860
of 197,825 outputs
Outputs of similar age from PLOS ONE
#2,668
of 5,337 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,827 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 42nd percentile – i.e., 42% 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 197,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,337 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.