Evidence map›Paper›PMID 34835283›Full record

ArticleVaccines2021

Longitudinal Dynamics of Human B-Cell Response at the Single-Cell Level in Response to Tdap Vaccination.

Indu Khatri, Annieck M Diks, Erik B van den Akker, Liesbeth E M Oosten, Jaap Jan Zwaginga, Marcel J T Reinders, Jacques J M van Dongen, Magdalena A Berkowska

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Is the vaccination-induced B cell receptor repertoire predictable?Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  3. Article
  4. Article
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

8 authors at 1 institution in 1 country.

Indu KhatriDepartment of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-7993-1953
Annieck M DiksDepartment of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Erik B van den AkkerLeiden Computational Biology Center, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.ORCID 0000-0002-7693-0728
Liesbeth E M OostenDepartment of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Jaap Jan ZwagingaDepartment of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-1228-7769
Marcel J T ReindersLeiden Computational Biology Center, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands.ORCID 0000-0002-1148-1562
Jacques J M van DongenDepartment of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-3650-7087
Magdalena A BerkowskaDepartment of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To mount an adequate immune response against pathogens, stepwise mutation and selection processes are crucial functions of the adaptive immune system. To better characterize a successful vaccination response, we performed longitudinal (days 0, 5, 7, 10, and 14 after Boostrix vaccination) analysis of the single-cell transcriptome as well as the B-cell receptor (BCR) repertoire (scBCR-rep) in plasma cells of an immunized donor and compared it with baseline B-cell characteristics as well as flow cytometry findings. Based on the flow cytometry knowledge and literature findings, we discriminated individual B-cell subsets in the transcriptomics data and traced over-time maturation of plasmablasts/plasma cells (PB/PCs) and identified the pathways associated with the plasma cell maturation. We observed that the repertoire in PB/PCs differed from the baseline B-cell repertoire e.g., regarding expansion of unique clones in post-vaccination visits, high usage of IGHG1 in expanded clones, increased class-switching events post-vaccination represented by clonotypes spanning multiple IGHC classes and positive selection of CDR3 sequences over time. Importantly, the Variable gene family-based clustering of BCRs represented a similar measure as the gene-based clustering, but certainly improved the clustering of BCRs, as BCRs from duplicated Variable gene families could be clustered together. Finally, we developed a query tool to dissect the immune response to the components of the Boostrix vaccine. Using this tool, we could identify the BCRs related to anti-tetanus and anti-pertussis toxoid BCRs. Collectively, we developed a bioinformatic workflow which allows description of the key features of an ongoing (longitudinal) immune response, such as activation of PB/PCs, Ig class switching, somatic hypermutation, and clonal expansion, all of which are hallmarks of antigen exposure, followed by mutation & selection processes.

Indexed as

B-cell receptor repertoirepertussissingle cellTdap vaccinevaccination

Identifiers

PMID34835283
PMCPMC8617659
OpenAlexW3216249099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.