ReviewFrontiers in genetics2023
A current and future perspective on T cell receptor repertoire profiling.
Review in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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.
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
18 citing papers in PubMed, 21 citations in OpenAlex.
- Peripheral T-Cell Receptor β Repertoire Dynamics Correlate with Response to Anti-PD-L1 Therapy in Non-Small Cell Lung Cancer.Cancers · 2026Article
- Deep peptide recognition profiling decodes TCR specificity and enables disease-associated antigen discovery.Nature biotechnology · 2026Article
- Umi-pipeline-nf: a modular and scalable workflow for UMI-tagged nanopore amplicon analysis with real-time sequencing integration and GPU-acceleration.Bioinformatics (Oxford, England) · 2026Article
- Transcriptional landscape of CD4+ T cells in Systemic Sclerosis.bioRxiv : the preprint server for biology · 2026Article
- TCR sequencing in cancer immunology and immunotherapy: what, when, where, why, and how.Journal for immunotherapy of cancer · 2026Review
- Decoding adaptive immunity: advanced strategies in T and B cell repertoire analysis.Journal of translational medicine · 2026Review
- The canine T cell receptor repertoire.ImmunoHorizons · 2025Article
- Article
- Mechanistic insights into the immune biomarker of perioperative immune checkpoint inhibitors for non-small cell lung cancer.Translational lung cancer research · 2025Review
- The Application of Single-Cell Technologies for Vaccine Development Against Viral Infections.Vaccines · 2025Review
- The Current Status of T Cell Receptor (TCR) Repertoire Analysis in Colorectal Cancer.International journal of molecular sciences · 2025Review
- Single-cell transcriptomics for immune profiling of cerebrospinal fluid in neurological diseases.Frontiers in immunology · 2025Review
- Hypereosinophilic syndrome with elevated IgG4 and T-cell clonality: A report of two cases.Open life sciences · 2025Article
- Distinct characteristics of T cell receptor repertoire associated with the SARS-CoV-2 reinfection.Frontiers in immunology · 2025Article
- Single-cell sequencing of full-length transcripts and T-cell receptors with automated high-throughput Smart-seq3.BMC genomics · 2024Article
- Comparative Study of T-Cell Repertoires after COVID-19 Immunization with Homologous or Heterologous Vaccine Booster.Pathogens (Basel, Switzerland) · 2024Article
- Predicting TCR sequences for unseen antigen epitopes using structural and sequence features.Briefings in bioinformatics · 2024Article
- Accurate TCR-pMHC interaction prediction using a BERT-based transfer learning method.Briefings in bioinformatics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
T cell receptors (TCR) play a vital role in the immune system's ability to recognize and respond to foreign antigens, relying on the highly polymorphic rearrangement of TCR genes. The recognition of autologous peptides by adaptive immunity may lead to the development and progression of autoimmune diseases. Understanding the specific TCR involved in this process can provide insights into the autoimmune process. RNA-seq (RNA sequencing) is a valuable tool for studying TCR repertoires by providing a comprehensive and quantitative analysis of the RNA transcripts. With the development of RNA technology, transcriptomic data must provide valuable information to model and predict TCR and antigen interaction and, more importantly, identify or predict neoantigens. This review provides an overview of the application and development of bulk RNA-seq and single-cell (SC) RNA-seq to examine the TCR repertoires. Furthermore, discussed here are bioinformatic tools that can be applied to study the structural biology of peptide/TCR/MHC (major histocompatibility complex) and predict antigenic epitopes using advanced artificial intelligence tools.
Indexed as
Identifiers
What 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.