↓ Skip to main content

Tonic B-cell receptor signaling in diffuse large B-cell lymphoma

Overview of attention for article published in Blood, June 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
20 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
122 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
Tonic B-cell receptor signaling in diffuse large B-cell lymphoma
Published in
Blood, June 2017
DOI 10.1182/blood-2016-10-747303
Pubmed ID
Authors

Ondrej Havranek, Jingda Xu, Stefan Köhrer, Zhiqiang Wang, Lisa Becker, Justin M Comer, Jared Henderson, Wencai Ma, John Man Chun Ma, Jason R Westin, Dipanjan Ghosh, Nicholas Shinners, Luhong Sun, Allen F Yi, Anusha R Karri, Jan A Burger, Tomasz Zal, R Eric Davis

Abstract

We used CRISPR/Cas9-mediated genomic modification to investigate B-cell receptor (BCR) signaling in cell lines of diffuse large B-cell lymphoma (DLBCL). Three manipulations that altered BCR genes without affecting surface BCR levels showed that BCR signaling differs between the germinal center B-cell (GCB) subtype, which is insensitive to BTK inhibition by ibrutinib, and the activated B-cell (ABC) subtype. Replacing antigen-binding BCR regions had no effect on BCR signaling in GCB-DLBCL lines, reflecting this subtype's exclusive use of tonic BCR signaling. Conversely, Y188F mutation in the immunoreceptor tyrosine-based activation motif of CD79A inhibited tonic BCR signaling in GCB-DLBCL lines but did not affect their calcium flux after BCR crosslinking, or the proliferation of otherwise-unmodified ABC-DLBCL lines. CD79A-GFP fusion showed BCR clustering or diffuse distribution, respectively, in lines of ABC and GCB subtypes. Tonic BCR signaling acts principally to activate AKT, and forced activation of AKT rescued GCB-DLBCL lines from knockout of the BCR or two mediators of tonic BCR signaling, SYK and CD19. The magnitude and importance of tonic BCR signaling to proliferation and size of GCB-DLBCL lines, shown by the effect of BCR knockout, was highly variable; in contrast, pan-AKT knockout was uniformly toxic. This discrepancy was explained by finding that BCR knockout-induced changes in AKT activity (measured by gene expression, CXCR4 level, and a fluorescent reporter) correlated with changes in proliferation, and with baseline BCR surface density. PTEN protein expression and BCR surface density may influence clinical response to therapeutic inhibition of tonic BCR signaling in DLBCL.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 16%
Student > Ph. D. Student 19 16%
Student > Master 19 16%
Student > Postgraduate 11 9%
Student > Bachelor 9 7%
Other 17 14%
Unknown 27 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 30%
Medicine and Dentistry 20 16%
Immunology and Microbiology 17 14%
Agricultural and Biological Sciences 11 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 7 6%
Unknown 28 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 02 September 2021.
All research outputs
#2,460,433
of 25,382,440 outputs
Outputs from Blood
#2,666
of 33,240 outputs
Outputs of similar age
#45,554
of 329,377 outputs
Outputs of similar age from Blood
#73
of 276 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,240 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 91% of its peers.
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 329,377 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 86% of its contemporaries.
We're also able to compare this research output to 276 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 73% of its contemporaries.