ReviewNature methods2024
Single-cell immune repertoire analysis.
Review in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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.
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.
Who cites it
40 citing papers in PubMed.
- HLA-II Expression Marks Activated and Clonally Expanded CD8International journal of molecular sciences · 2026Article
- Single-Cell Profiling Reveals Clonally Expanded CX3CR1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Spatiotemporal CD8Cancer science · 2026Review
- TransTCR: Integrating TCRs and Transcriptomes Through Optimal Transport for Antigen Specificity Prediction.Interdisciplinary sciences, computational life sciences · 2026Article
- TSTScope Unifies Single-Cell Multi-Omics to Identify Functional T Cell States Predictive of Immunotherapy Response.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Uncovering ectopic GC-like niches for tumor reactive lymphocyte priming in lung adenocarcinoma using Stereo-XCR-seq.Nature communications · 2026Article
- A scalable, low-cost, sample hashing workflow for multiomic single-cell analysis using the Seq-Well SNature protocols · 2026Review
- From Single Cells to Silicon: Emerging Technologies Transforming Monoclonal Antibody Discovery.Antibodies (Basel, Switzerland) · 2026Review
- A first-in-class bifunctional antibody targeting CD20 and CD37 remodels the immune microenvironment in relapsed or refractory B-cell malignancies.Journal of hematology & oncology · 2026Article
- Pathological mechanisms and treatment strategies for immune checkpoint inhibitor-associated myocarditis: insights from single-cell sequencing.Basic research in cardiology · 2026Review
- Systemic immune profiling uncovers divergent mechanisms and predictive biomarkers of response to combination immunotherapies in hepatocellular carcinoma.Journal for immunotherapy of cancer · 2026Article
- Transcriptional landscape of CD4+ T cells in Systemic Sclerosis.bioRxiv : the preprint server for biology · 2026Article
- Identification and characterization of bone marrow plasma cells producing IFN-γ-neutralizing autoantibodies in adult-onset immunodeficiency.Cell reports. Medicine · 2026Article
- Human Systems Immunology in the Omics Era: Challenges, Methods, and Emerging Directions.European journal of immunology · 2026Review
- Mitophagy-driven multidimensional regulation of tumor immune evasion and context-dependent therapeutic strategies.Journal of translational medicine · 2026Review
- Single-cell omics in tumor lymph node metastasis: mechanisms and therapeutic implications.Molecular cancer · 2026Review
- The MAPK Pathway Coordinates an Immunosuppressive Microenvironment in Colorectal Cancer: A Single-Cell Guided Prognostic Model.Cancer informatics · 2026Article
- The single-cell immune atlas of bacterial pneumonia: from inflammatory cell infiltration to treatable cell states.Frontiers in cellular and infection microbiology · 2026Review
- B cells and B-cell receptor repertoire features in coronary heart disease: immunopathogenic roles, clinical relevance, and therapeutic potential.Frontiers in cardiovascular medicine · 2026Review
- ImmunoMatch learns and predicts cognate pairing of heavy and light immunoglobulin chains.Nature methods · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell T cell and B cell antigen receptor-sequencing data analysis can potentially perform in-depth assessments of adaptive immune cells that inform on understanding immune cell development to tracking clonal expansion in disease and therapy. However, it has been extremely challenging to analyze and interpret T cells and B cells and their adaptive immune receptor repertoires at the single-cell level due to not only the complexity of the data but also the underlying biology. In this Review, we delve into the computational breakthroughs that have transformed the analysis of single-cell T cell and B cell antigen receptor-sequencing data.
Indexed as
Identifiers
38637691What OpenQuestion holds
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.