ArticleImmunology2014
Identification of co-expressed gene signatures in mouse B1, marginal zone and B2 B-cell populations.
Article in Immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- A temporal map of B cell diversification mechanisms in mice.Nature immunology · 2026Article
- Activated PIK3CD drives marginal zone B cell development from early transitional progenitors by enhancing ADAM10 expression.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Cross-tissue atlas of mucosa-associated lymphoid tissue lymphomas reveals intratumoral heterogeneity and microenvironmental subtypes.Cell reports. Medicine · 2026Article
- Single-cell transcriptomic landscape of intrahepatic B Cells in MASH.BMC gastroenterology · 2026Article
- IGHV1 usage is associated with lymphadenopathy and aggressive disease in the TCL1 mouse model for chronic lymphocytic leukemia.Scientific reports · 2025Article
- Group 2 innate lymphoid cells are a non-redundant source of interleukin-5 required for development and function of murine B1 cells.Nature communications · 2024Article
- Progression of Notch signaling regulation of B cells under radiation exposure.Frontiers in immunology · 2024Review
- Single-cell genomics identifies distinct B1 cell developmental pathways and reveals aging-related changes in the B-cell receptor repertoire.Cell & bioscience · 2022Article
- Glutathione-dependent redox balance characterizes the distinct metabolic properties of follicular and marginal zone B cells.Nature communications · 2022Article
- Bhlhe40 function in activated B and TFH cells restrains the GC reaction and prevents lymphomagenesis.The Journal of experimental medicine · 2022Article
- Article
- Cyclin D2 overexpression drives B1a-derived MCL-like lymphoma in mice.The Journal of experimental medicine · 2021Article
- Limited access to antigen drives generation of early B cell memory while restraining the plasmablast response.Immunity · 2021Article
- Marginating transitional B cells modulate neutrophils in the lung during inflammation and pneumonia.The Journal of experimental medicine · 2021Article
- Profiling B cell immunodominance after SARS-CoV-2 infection reveals antibody evolution to non-neutralizing viral targets.Immunity · 2021Article
- Unique Transcriptome Changes in Peripheral B Cells Revealed by Comparing Age Groups From Naive or Vaccinated Mice, Including snoRNA and Cdkn2a.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020Article
- Discrete populations of isotype-switched memory B lymphocytes are maintained in murine spleen and bone marrow.Nature communications · 2020Article
- Select autophagy genes maintain quiescence of tissue-resident macrophages and increase susceptibility to Listeria monocytogenes.Nature microbiology · 2020Article
- Beyond T-Cells: Functional Characterization of CTLA-4 Expression in Immune and Non-Immune Cell Types.Frontiers in immunology · 2020Review
- Notch Signaling in B Cell Immune Responses.Frontiers in immunology · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
In mice, three major B-cell subsets have been identified with distinct functionalities: B1 B cells, marginal zone B cells and follicular B2 B cells. Here, we used the growing body of publicly available transcriptomics data to create an expression atlas of 84 gene expression microarray data sets of distinct mouse B-cell subsets. These data were subjected to network-based cluster analysis using BioLayout Express(3D). Using this analysis tool, genes with related functions clustered together in discrete regions of the network graph and enabled the identification of transcriptional networks that underpinned the functional activity of distinct cell populations. Some gene clusters were expressed highly by most of the cell populations included in this analysis (such as those with activity related to house-keeping functions). Others contained genes with expression patterns specific to distinct B-cell subsets. While these clusters contained many genes typically associated with the activity of the cells they were specifically expressed in, many novel B-cell-subset-specific candidate genes were identified. A large number of uncharacterized genes were also represented in these B-cell lineage-specific clusters. Further analysis of the activities of these uncharacterized candidate genes will lead to the identification of novel B-cell lineage-specific transcription factors and regulators of B-cell function. We also analysed 36 microarray data sets from distinct human B-cell populations. These data showed that mouse and human germinal centre B cells shared similar transcriptional features, whereas mouse B1 B cells were distinct from proposed human B1 B cells.
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