Evidence map›Paper›PMID 23742949›Full record

ArticleGenome research2013

Network properties derived from deep sequencing of human B-cell receptor repertoires delineate B-cell populations.

Rachael J M Bashford-Rogers, Anne L Palser, Brian J Huntly, Richard Rance, George S Vassiliou, George A Follows, Paul Kellam

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 151 citations in OpenAlex.

  1. Trial
  2. VDJ-REMIX: REpertoire Module Identification and eXploration.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
  4. Explore antibody repertoire in the era of AI.Acta biochimica et biophysica Sinica · 2025
    Article
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33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Rachael J M Bashford-RogersWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom;
Anne L Palser
Brian J Huntly
Richard Rance
George S Vassiliou
George A Follows
Paul Kellam
Wellcome Sanger Institute · GBAddenbrooke's Hospital · GB

Funding

Wellcome Trust 079249Wellcome Trust 095663Wellcome Trust 100140
6 · The paper itself

Abstract

The adaptive immune response selectively expands B- and T-cell clones following antigen recognition by B- and T-cell receptors (BCR and TCR), respectively. Next-generation sequencing is a powerful tool for dissecting the BCR and TCR populations at high resolution, but robust computational analyses are required to interpret such sequencing. Here, we develop a novel computational approach for BCR repertoire analysis using established next-generation sequencing methods coupled with network construction and population analysis. BCR sequences organize into networks based on sequence diversity, with differences in network connectivity clearly distinguishing between diverse repertoires of healthy individuals and clonally expanded repertoires from individuals with chronic lymphocytic leukemia (CLL) and other clonal blood disorders. Network population measures defined by the Gini Index and cluster sizes quantify the BCR clonality status and are robust to sampling and sequencing depths. BCR network analysis therefore allows the direct and quantifiable comparison of BCR repertoires between samples and intra-individual population changes between temporal or spatially separated samples and over the course of therapy.

Indexed as

Genes, Immunoglobulin Heavy ChainHigh-Throughput Nucleotide SequencingAdaptive ImmunityAdultAgedAged, 80 and overB-LymphocytesCase-Control StudiesCell Line, TumorClone CellsComputational BiologyFemaleHumansLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedReceptors, Antigen, B-Cell

Identifiers

PMID23742949
PMCPMC3814887
OpenAlexW2132375548

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.