Engineered T cells expressing tumor-specific T-cell receptors (TCRs) are emerging as a mode of personalized cancer immunotherapy that requires identification of TCRs against the products of known driver mutations and novel mutations in a timely fashion. We present a nonviral and non-next-generation sequencing platform for rapid, and efficient neoantigen-specific TCR identification and evaluation that does not require the use of recombinant cloning techniques. The platform includes an innovative method of TCRα detection using Sanger sequencing, TCR pairings and the use of TCRα/β gene fragments for putative TCR evaluation. Using patients' samples, we validated and compared our new methods head-to-head with conventional approaches used for TCR discovery. Development of a unique demultiplexing method for identification of TCRα, adaptation of synthetic TCRs for gene transfer, and a reliable reporter system significantly shortens TCR discovery time over conventional methods and increases throughput to facilitate testing prospective personalized TCRs for adoptive cell therapy.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725897PMC
http://dx.doi.org/10.1097/CJI.0000000000000342DOI Listing

Publication Analysis

Top Keywords

identification evaluation
8
t-cell receptors
8
tcr discovery
8
tcr
5
rapid identification
4
evaluation neoantigen-reactive
4
neoantigen-reactive t-cell
4
receptors single
4
single cells
4
cells engineered
4

Similar Publications

Background: The accurate deciphering of spatial domains, along with the identification of differentially expressed genes and the inference of cellular trajectory based on spatial transcriptomic (ST) data, holds significant potential for enhancing our understanding of tissue organization and biological functions. However, most of spatial clustering methods can neither decipher complex structures in ST data nor entirely employ features embedded in different layers.

Results: This article introduces STMSGAL, a novel framework for analyzing ST data by incorporating graph attention autoencoder and multiscale deep subspace clustering.

View Article and Find Full Text PDF

Helminths infection of Schizothorax niger in Kashmir, India: morphological and molecular characterization.

Mol Biol Rep

January 2025

Division of Animal Biotechnology, Faculty of Veterinary Sciences & Animal Husbandry, SKUAST-K, Srinagar, India.

Background: The identification of helminth parasites in Schizothorax spp. from Kashmir, including Schyzocotyle acheilognathi, Pomphorhynchus kashmirensis, and Adenoscolex oreini, is hindered by morphological limitations and high intraspecific variation. While previous studies have relied on morphological diagnosis, a comprehensive molecular characterization is lacking.

View Article and Find Full Text PDF

Accurate identification and quantification of 5-hydroxymethylcytosine (5hmC) can help elucidate its function in gene expression and disease pathogenesis. Current 5hmC analysis methods still present challenges, especially for clinical applications, such as having a risk of false-positive results and a lack of sufficient sensitivity. Herein, a 5hmC quantification method for fragment-specific DNA sequences with extreme specificity, high sensitivity, and clinical applicability was established using a quantitative real-time PCR (qPCR)-based workflow through the combination of enzymatic digestion and biological deamination strategy (EDD-5hmC assay).

View Article and Find Full Text PDF

Rare Cell Population Analysis in Early-Stage Breast Cancer Patients.

Breast Cancer (Auckl)

January 2025

Department of Surgery, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Background: Circulating rare cells participate in breast cancer evolution as systemic components of the disease and thus, are a source of theranostic information. Exploration of cancer-associated rare cells is in its infancy.

Objectives: We aimed to investigate and classify abnormalities in the circulating rare cell population among early-stage breast cancer patients using fluorescence marker identification and cytomorphology.

View Article and Find Full Text PDF

Purpose: This study aimed to evaluate serum cystatin C as a potential biomarker for diabetic retinopathy (DR) in a rural Indian population, addressing the urgent need for effective screening tools amidst rising diabetes prevalence.

Materials And Methods: A cross-sectional study recruited 112 patients with diabetes mellitus from Sambalpur, Odisha, India, categorized into groups with and without DR. Serum cystatin C levels were measured alongside clinical and demographic parameters, using established diagnostic methods.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!