ArticleFrontiers in immunology2020
Characterization and Monitoring of Antigen-Responsive T Cell Clones Using T Cell Receptor Gene Expression Analysis.
Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- NeoTCRseek: an integrated platform for high-sensitivity identification of neoantigen-specific TCR clonotypes to track clinical T-cell dynamics.Frontiers in immunology · 2026Article
- B Cell Receptor Repertoire Analysis of the CD21European journal of immunology · 2025Article
- Deep exploration of the TCR CDR3β repertoire specific for viral CD4 T-cell epitopes inside the circulating T-cell repertoire.Frontiers in immunology · 2025Article
- Sensitive B-cell receptor repertoire analysis shows repopulation correlates with clinical response to rituximab in rheumatoid arthritis.Arthritis research & therapy · 2024Article
- B-cell receptor profiling before and after IVIG monotherapy in newly diagnosed idiopathic inflammatory myopathies.Rheumatology (Oxford, England) · 2023Article
- Maintenance and recall of memory T cell populations against tuberculosis: Implications for vaccine design.Frontiers in immunology · 2023Review
- Clinical application of immune repertoire sequencing in solid organ transplant.Frontiers in immunology · 2023Review
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput T-cell receptor repertoire sequencing constitutes a powerful tool to study T cell responses at the clonal level. However, it does not give information on the functional phenotype of the responding clones and lacks a statistical framework for quantitative evaluation. To overcome this, we combined datasets from different experiments, all starting from the same blood samples. We used a novel, sensitive, UMI-based protocol to perform repertoire analysis on experimental replicates. Applying established bioinformatic routines for transcriptomic expression analysis we explored the dynamics of antigen-induced clonal expansion after
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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.