ReviewImmunology2012
Rep-Seq: uncovering the immunological repertoire through next-generation sequencing.
Review in Immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 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
146 citing papers in PubMed.
- Analysis of the Whole CDR3 T Cell Receptor Repertoire after Hematopoietic Stem Cell Transplantation in 2 Clinical Cohorts.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020Trial
- Machine Learning of Personal Repertoires From Public T Cell Receptors.Immunological reviews · 2026Review
- The case for caution in the application of whole-exome sequencing data for immune repertoire analysis.Briefings in bioinformatics · 2026Article
- Mapping the TCR landscape: computational tools empowering translational immunology and therapy design.Journal for immunotherapy of cancer · 2026Review
- Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026Article
- Decoding adaptive immunity: advanced strategies in T and B cell repertoire analysis.Journal of translational medicine · 2026Review
- Inference of SARS-CoV-2 exposure biomarkers using large-scale T-cell repertoire profiling.Genome medicine · 2026Article
- Quantitative evaluation of T-cell repertoire restoration following hematopoietic stem cell transplantation in patients with and without graft versus host disease.Frontiers in immunology · 2026Article
- Bighorn sheep T2T genome assembly reveals differences in immune genes: a potential cause of high morbidity due to respiratory pathogens.bioRxiv : the preprint server for biology · 2025Article
- Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires.NPJ systems biology and applications · 2025Article
- RNA-seq based T cell repertoire extraction compared with TCR-seq.Oxford open immunology · 2025Article
- Learning predictive signatures of HLA type from T-cell repertoires.PLoS computational biology · 2025Article
- Comprehensive analysis of αβT-cell receptor repertoires reveals signatures of thymic selection.Frontiers in immunology · 2025Article
- TCR-T cell therapy: current development approaches, preclinical evaluation, and perspectives on regulatory challenges.Journal of translational medicine · 2024Review
- Evaluating methods for B-cell clonal family assignment.bioRxiv : the preprint server for biology · 2024Article
- Inference of annealed protein fitness landscapes with AnnealDCA.PLoS computational biology · 2024Article
- Ovarian cancer is detectable from peripheral blood using machine learning over T-cell receptor repertoires.Briefings in bioinformatics · 2024Article
- Detecting T-cell clonal expansions and quantifying clone survival using deep profiling of immune repertoires.Frontiers in immunology · 2024Article
- Applying phylogenetic methods for species delimitation to distinguish B-cell clonal families.Frontiers in immunology · 2024Article
- An open protocol for modeling T Cell Clonotype repertoires using TCRβ CDR3 sequences.BMC genomics · 2023Article
86 more citing papers are in PubMed but not listed here.
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
Recent scientific discoveries fuelled by the application of next-generation DNA and RNA sequencing technologies highlight the striking impact of these platforms in characterizing multiple aspects in genomics research. This technology has been used in the study of the B-cell and T-cell receptor repertoire. The novelty of immunosequencing comes from the recent rapid development of techniques and the exponential reduction in cost of sequencing. Here, we describe some of the technologies, which we collectively refer to as Rep-Seq (repertoire sequencing), to portray achievements in the field and to present the essential and inseparable role of next-generation sequencing to the understanding of entities in immune response. The large Rep-Seq data sets that should be available in the near future call for new computational algorithms to segue the transition from 'classic' molecular-based analysis to system-wide analysis. The combination of new algorithms with high-throughput data will form the basis for possible new clinical implications in personalized medicine and deeper understanding of immune behaviour and immune response.
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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.