Evidence map›Paper›PMID 31484734›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2019

Cutting Edge: Ig H Chains Are Sufficient to Determine Most B Cell Clonal Relationships.

Julian Q Zhou, Steven H Kleinstein

Abstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
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

40 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
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  3. B Cell Receptor Repertoire Analysis of the CD21European journal of immunology · 2025
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  18. SARS-CoV-2 Omicron boosting induces de novo B cell response in humans.bioRxiv : the preprint server for biology · 2022
    Article
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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

2 authors at 1 institution in 1 country.

Julian Q ZhouInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511.ORCID 0000-0001-9602-2092
Steven H KleinsteinInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511; steven.kleinstein@yale.edu.ORCID 0000-0003-4957-1544
Yale University · US

Funding

COMPUTATIONAL TOOLS FOR THE ANALYSIS OF HIGH-THROUGHPUT IMMUNOGLOBULIN SEQUENCING EXPERIMENTSR01AI104739 · NIAID · YALE UNIVERSITY · PI KLEINSTEIN, STEVEN H. · 2014 to 2022
$3.6M
NIAID NIH HHS R01 AI104739
6 · The paper itself

Abstract

B cell clonal expansion is vital for adaptive immunity. High-throughput BCR sequencing enables investigating this process but requires computational inference to identify clonal relationships. This inference usually relies on only the BCR H chain, as most current protocols do not preserve H:L chain pairing. The extent to which paired L chains aids inference is unknown. Using human single-cell paired BCR datasets, we assessed the ability of H chain-based clonal clustering to identify clones. Of the expanded clones identified, <20% grouped cells expressing inconsistent L chains. H chains from these misclustered clones contained more distant junction sequences and shared fewer V segment mutations than the accurate clones. This suggests that additional H chain information could be leveraged to refine clonal relationships. Conversely, L chains were insufficient to refine H chain-based clonal clusters. Overall, the BCR H chain alone is sufficient to identify clonal relationships with confidence.

Indexed as

Databases, GeneticGene Rearrangement, B-Lymphocyte, Heavy ChainB-LymphocytesHumansImmunoglobulin Heavy ChainsImmunoglobulin Light ChainsReceptors, Antigen, B-CellImmunoglobulin Heavy ChainsImmunoglobulin Light ChainsReceptors, Antigen, B-Cell

Identifiers

PMID31484734
PMCPMC6865802
OpenAlexW2972141329

What OpenQuestion holds

Textmetadata
LicenceTDM
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.