ArticleFrontiers in immunology2012
Human b1 cell frequency: isolation and analysis of human b1 cells.
Article in Frontiers in immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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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.
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.
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Who cites it
50 citing papers in PubMed.
- Human lymphoid development in the absence of common γ-chain receptor signaling.Journal of immunology (Baltimore, Md. : 1950) · 2014Trial
- B1 Cells for Life.Immunological reviews · 2026Review
- Phenotypic, functional, prognostic and predictive significance of B-cell and antibody responses in human melanoma: a scoping review.The British journal of dermatology · 2026Article
- Do human B-1 lymphocytes truly exist?Frontiers in immunology · 2026Review
- Distinct B Cell Subsets Changes as Potential Biomarkers of Response to Biologic Therapy in Crohn's Disease.International journal of molecular sciences · 2025Article
- Article
- Characterization of Freshly Isolated Human Peripheral Blood B Cells, Monocytes, CD4+ and CD8+ T Cells, and Skin Mast Cells by Quantitative Transcriptomics.International journal of molecular sciences · 2024Article
- Th17 Cell and Inflammatory Infiltrate Interactions in Cutaneous Leishmaniasis: Unraveling Immunopathogenic Mechanisms.Immune network · 2024Review
- Human VH4-34 antibodies derived from B1 cells are more frequently autoreactive than VH4-34 antibodies derived from memory cells.Frontiers in immunology · 2023Article
- Mapping the developing human immune system across organs.Science (New York, N.Y.) · 2022Article
- B-1b Cells Possess Unique bHLH-Driven P62-Dependent Self-Renewal and Atheroprotection.Circulation research · 2022Article
- The Forgotten Brother: The Innate-like B1 Cell in Multiple Sclerosis.Biomedicines · 2022Review
- Placental CD4Exploration of medicine · 2022Article
- Cord-Blood-Derived Professional Antigen-Presenting Cells: Functions and Applications in Current and Prospective Cell Therapies.International journal of molecular sciences · 2021Review
- Why Does SARS-CoV-2 Infection Induce Autoantibody Production?Pathogens (Basel, Switzerland) · 2021Article
- Discovery and Function of B-Cell IgD Low (BDJournal of molecular biology · 2021Review
- Immunosuppressive Mechanisms of Regulatory B Cells.Frontiers in immunology · 2021Review
- Pattern Recognition Proteins: First Line of Defense Against Coronaviruses.Frontiers in immunology · 2021Review
- Innate-like Lymphocytes and Innate Lymphoid Cells in Asthma.Clinical reviews in allergy & immunology · 2020Review
- Polyclonal CD5+/CD19+ B1a lymphocytes after allogeneic stem cell transplantation: a potential diagnostic pitfall.Autopsy & case reports · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Controversy over the frequency of human B1 cells in normal individuals has arisen as different labs have begun to employ non-uniform techniques to study this population. The phenotypic profile and relative paucity of circulating human B1 cells place constraints on methodology to identify and isolate this population. Multiple steps must be optimized to insure accurate enumeration and optimal purification. In the course of working with human B1 cells we have developed a successful strategy that provides consistent analysis of B1 cells for frequency determination and efficient isolation of B1 cells for functional studies. Here we discuss issues attendant to identifying human B1 cells and outline a carefully optimized approach that leads to uniform and reproducible data.
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Registered trials
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.