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Molecular characterization of anti-idiotype antibody-resistant variants of a murine B cell lymphoma.

Overview of attention for article published in The Journal of Immunology, July 1990
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Article details
Title
Molecular characterization of anti-idiotype antibody-resistant variants of a murine B cell lymphoma.
Published in
The Journal of Immunology, July 1990
DOI 10.4049/jimmunol.145.2.768
Pubmed ID
Authors
Abstract

We have previously identified Id- tumor vaiants that emerge after anti-Id mAb therapy of the murine B cell lymphoma 38C13. This report characterizes the molecular basis for these variants. By using a modification of the polymerase chain reaction (PCR), mu and kappa Ig loci were sequenced from nine Id- variants derived directly by anti-Id immunoselection in vivo. Ig kappa loci sequence analysis was also performed from 10 additional variants amplified directly from tumor cells in vitro without immunoselection. We demonstrate that the molecular mechanism underlying tumor cell escape in this model is the spontaneous emergence of variants that have undergone kappa L chain gene "re-rearrangement" before positive selection by the anti-Id antibody. A second round of re-rearrangement was also demonstrated to occur within primary tumor variants. Re-rearrangement of the 38C13 tumor cell Ig kappa locus is strongly biased toward use of variable kappa genes within the conserved V kappa-Ox1 gene family, although their use is not exclusive. With the use of RNA PCR re-rearrangement was documented to occur in vitro at a frequency of approximately 1.0 x 10(-5)/cell. These findings may have important implications for the application of anti-Id antibodies as a therapeutic approach for human lymphomas and for understanding of the Ig gene rearrangement process.

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The data shown below were compiled from readership statistics for 3 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 3 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor > Associate Professor 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 November 2017.
All research outputs
#12,425,845
of 34,518,147 outputs
Outputs from The Journal of Immunology
#19,111
of 36,011 outputs
Outputs of similar age
#8,556
of 22,899 outputs
Outputs of similar age from The Journal of Immunology
#68
of 142 outputs
Altmetric has tracked 34,518,147 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 36,011 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 12th percentile – i.e., 12% 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 22,899 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.