Evidence map›Paper›PMID 40214492›Full record

ReviewCells2025

Decoding B Cells in Autoimmune Diseases Through ScRNA + BCR-Seq: Current Knowledge and Future Directions.

Kai Quan, Huifang Wang, Peng Su, Yuanyuan Xu, Xinsheng Yao

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
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

5 authors.

Kai QuanDepartment of Immunology, Center of Immuno-Molecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563002, China.
Huifang WangDepartment of Immunology, Center of Immuno-Molecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563002, China.
Peng SuDepartment of Immunology, Center of Immuno-Molecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563002, China.
Yuanyuan XuDepartment of Immunology, Center of Immuno-Molecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563002, China.
Xinsheng YaoDepartment of Immunology, Center of Immuno-Molecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi 563002, China.ORCID 0000-0001-6960-4003

Funding

Guizhou Provincial Hundred level Talent Fund No.(2018)5637National Natural Science Foundation of China 82160279
6 · The paper itself

Abstract

The combined application of single-cell RNA sequencing (scRNA-seq) and single-cell B-cell receptor sequencing (scBCR-seq) offers a multidimensional perspective for dissecting the immunopathological mechanisms of B cells in autoimmune diseases. This review systematically summarizes the principles of these techniques, the analytical framework, and their key applications in diseases such as systemic lupus erythematosus et. al. It reveals the dynamic correlations between the transcriptome of B-cell subsets and B-cell receptor (BCR) clones. Furthermore, we focus on the potential roles of dual BCR B cells and B/T biphenotypic cells in autoimmunity, emphasizing their exacerbation of disease progression through abnormal clonal expansion and autoantibody secretion. By sorting through cutting-edge advancements and bottleneck issues, this article aims to propel the innovation of multi-omics research and precision treatment paradigms for autoimmune diseases.

Indexed as

Autoimmune DiseasesB-LymphocytesReceptors, Antigen, B-CellSequence Analysis, RNASingle-Cell AnalysisAnimalsHumansReceptors, Antigen, B-Cellautoimmune diseasesCDR3single-cell B-cell receptor sequencingsingle-cell RNA sequencing

Identifiers

PMID40214492
PMCPMC11988620

What OpenQuestion holds

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LicenceCC BY
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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.