ArticleMethods in molecular biology (Clifton, N.J.)2022
A High-Throughput Strategy for T-Cell Receptor Cloning and Expression.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
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- Fusing data from CT deep learning, CT radiomics and peripheral blood immune profiles to diagnose lung cancer in a cohort of patients experiencing symptoms.EBioMedicine · 2026Article
- Article
- Identification of antigen-specific functional CD8iScience · 2025Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Expression of T-cell receptor (TCR) genes is a critical step for TCR characterization and epitope identification. The recent interest in using specific TCRs for cancer immunotherapy has further increased the demand for practical and robust methods to rapidly clone and express TCRs. We show that a recombination-based cloning protocol facilitates simple and rapid transfer of the TCR transgene into different expression systems. In this protocol, we first constructed all the human TRAV and TRBV genes into individual plasmid. To clone any TCR, we only need to ligate a short CDR3 fragment to its corresponding V gene plasmid using Golden Gate cloning. This strategy significantly improves the efficiency of individual TCR cloning and mutagenesis, providing a flexible high-throughput method for TCR analysis and TCR-mediated therapeutics.
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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.