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An Entity Evolving into a Community: Defining the Common Ancestor and Evolutionary Trajectory of Chronic Lymphocytic Leukemia Stereotyped Subset #4

Overview of attention for article published in Molecular Medicine, December 2014
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Title
An Entity Evolving into a Community: Defining the Common Ancestor and Evolutionary Trajectory of Chronic Lymphocytic Leukemia Stereotyped Subset #4
Published in
Molecular Medicine, December 2014
DOI 10.2119/molmed.2014.00140
Pubmed ID
Authors

Lesley-Ann Sutton, Giorgos Papadopoulos, Anastasia Hadzidimitriou, Stavros Papadopoulos, Efterpi Kostareli, Richard Rosenquist, Dimitrios Tzovaras, Kostas Stamatopoulos

Abstract

Patients with chronic lymphocytic leukemia (CLL) assigned to stereotyped subset #4 express highly homologous B-cell receptor immunoglobulin (BcR IG) sequences with intense intraclonal diversification (ID) in the context of ongoing somatic hypermutation (SHM). Their remarkable biological and clinical similarities strongly support derivation from a common ancestor. We here revisited ID in subset #4 CLL in order to reconstruct their evolutionary history as a community of related clones. To this end, using specialized bioinformatics tools we assessed both IGHV-IGHD-IGHJ rearrangements (n=511) and IGKV-IGKJ rearrangements (n=397) derived from 8 subset #4 cases. Due to high sequence relatedness, a number of subclonal clusters from different cases lay very close to one another, forming a core from which clusters exhibiting greater variation stemmed. Minor subclones from individual cases were mutated to such an extent that they now resembled the sequences of another patient. Viewing the entire subset #4 dataset as a single entity branching through diversification, enabled inference of a common sequence representing the putative ancestral BcR IG expressed by their still elusive common progenitor. These results have implications for improved understanding of the ontogeny of CLL subset #4, as well as the design of studies concerning the antigenic specificity of the clonotypic BcR IGs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Researcher 2 13%
Student > Bachelor 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 7 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 44%
Psychology 1 6%
Medicine and Dentistry 1 6%
Unknown 7 44%
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 16 December 2015.
All research outputs
#20,246,428
of 22,774,233 outputs
Outputs from Molecular Medicine
#997
of 1,135 outputs
Outputs of similar age
#302,546
of 361,266 outputs
Outputs of similar age from Molecular Medicine
#13
of 16 outputs
Altmetric has tracked 22,774,233 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 1,135 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 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.