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Reconstructing a B-Cell Clonal Lineage. II. Mutation, Selection, and Affinity Maturation

Overview of attention for article published in Frontiers in immunology, April 2014
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Title
Reconstructing a B-Cell Clonal Lineage. II. Mutation, Selection, and Affinity Maturation
Published in
Frontiers in immunology, April 2014
DOI 10.3389/fimmu.2014.00170
Pubmed ID
Authors

Thomas B. Kepler, Supriya Munshaw, Kevin Wiehe, Ruijun Zhang, Jae-Sung Yu, Christopher W. Woods, Thomas N. Denny, Georgia D. Tomaras, S. Munir Alam, M. Anthony Moody, Garnett Kelsoe, Hua-Xin Liao, Barton F. Haynes

Abstract

Affinity maturation of the antibody response is a fundamental process in adaptive immunity during which B-cells activated by infection or vaccination undergo rapid proliferation accompanied by the acquisition of point mutations in their rearranged immunoglobulin (Ig) genes and selection for increased affinity for the eliciting antigen. The rate of somatic hypermutation at any position within an Ig gene is known to depend strongly on the local DNA sequence, and Ig genes have region-specific codon biases that influence the local mutation rate within the gene resulting in increased differential mutability in the regions that encode the antigen-binding domains. We have isolated a set of clonally related natural Ig heavy chain-light chain pairs from an experimentally infected influenza patient, inferred the unmutated ancestral rearrangements and the maturation intermediates, and synthesized all the antibodies using recombinant methods. The lineage exhibits a remarkably uniform rate of improvement of the effective affinity to influenza hemagglutinin (HA) over evolutionary time, increasing 1000-fold overall from the unmutated ancestor to the best of the observed antibodies. Furthermore, analysis of selection reveals that selection and mutation bias were concordant even at the level of maturation to a single antigen. Substantial improvement in affinity to HA occurred along mutationally preferred paths in sequence space and was thus strongly facilitated by the underlying local codon biases.

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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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Netherlands 1 <1%
India 1 <1%
Italy 1 <1%
Taiwan 1 <1%
United States 1 <1%
Unknown 98 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 30%
Researcher 23 22%
Student > Master 11 10%
Student > Bachelor 9 9%
Other 5 5%
Other 14 13%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 37%
Immunology and Microbiology 15 14%
Biochemistry, Genetics and Molecular Biology 13 12%
Computer Science 7 7%
Medicine and Dentistry 6 6%
Other 12 11%
Unknown 13 12%
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 06 May 2014.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from Frontiers in immunology
#20,322
of 31,554 outputs
Outputs of similar age
#145,806
of 241,590 outputs
Outputs of similar age from Frontiers in immunology
#88
of 148 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 28th percentile – i.e., 28% 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 241,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.