Hauer, J. | Search bioRxiv

bioRxiv2026

T-Rex: Standardized Analysis of Germline Variants in Whole-Exome Sequencing Trios

Whole-exome sequencing (WES) enables the identification of rare germline variants contributing to pediatric diseases. Trio-based sequencing, comparing affected children with their parents, is particularly effective for rare disease genetics. However, WES data analysis requires bioinformatics expertise, varies across institutions, and is often incompatible with clinical workflows. We developed T-Rex (Trio Rare variant analysis of EXomes), a cross-platform desktop application that enables the standardized and local analysis of WES germline Trio data without the need for programming knowledge. T-Rex integrates state-of-the-art tools for alignment, dual-variant calling (GATK HaplotypeCaller + VarScan2), annotation (SNPEff/SNPSift), rare-variant filtering based on population frequencies (gnomAD), and family-based statistical testing, including the Transmission Disequilibrium Test with multiple-testing correction. Benchmarking of the dual-caller strategy on the Genome in a Bottle Ashkenazim Trio demonstrates high precision (99.2%) while maintaining robust sensitivity (91.1%). User testing (n=13) confirmed quick learning across clinicians and researchers. Application to a cohort of n=121 pediatric cancer Trio datasets, filtering for rare protein-coding variants (MAF[≤]0.1% in gnomAD v4.0), validated all assessable previously reported pathogenic variants. Overall, T-Rex enables clinicians to robustly analyze WES Trio data in compliance with data protection regulations without requiring additional software licenses. As one of the first platforms for comprehensive WES Trio analysis that requires no programming expertise while providing clinical-grade, end-to-end workflows, T-Rex facilitates collaborative research between clinics and reduces reliance on external providers. Implementation and AvailabilityThe source code is available on GitHub (https://github.com/SaraLuisaReh/trex). The fully precompiled app is available on Zenodo (https://zenodo.org/records/19135262).

bioinformatics↗

bioRxiv2025

OVEREXPRESSION OF TUMORPROTECTIVE CLUSTERIN PREVENTS EXHAUSTION OF TRANSGENIC T CELLS

1T cell therapies, such as chimeric antigen receptor (CAR) T cells and T cell receptor (TCR) transgenic (tg) T cells, are a promising approach in the treatment of solid malignancies but are limited by T cell exhaustion caused by chronic antigen stimulation. Clusterin (CLU) is a chaperone protein known to protect both normal and malignant cells, from metabolic stress and reactive oxygen species (ROS). In this study, we investigated whether overexpression (OE) of CLU in TCRtg T cells and CAR-T cells respectively can reduce exhaustion induced by chronic antigen stimulation and enhance T cell functionality against Ewing sarcoma (EwS). Among other cytoprotective genes, we found that CLU was significantly downregulated in dysfunctional tumor infiltrating lymphocytes. Therefore, we engineered EwS-directed TCRtg T cells targeting a Chondromodulin-1 (Chm1)-derived peptide and GD2 CAR-T cells to overexpress CLU. We show here that CLU is downregulated in T cells following activation by tumor cells. CLU-overexpressing T cells exhibit decreased expression of exhaustion markers (PD1, LAG3) and reduced apoptosis after repetitive stimulation. These cells demonstrated improved infiltration into tumor spheroids and maintained functionality under hypoxic conditions. In vivo, CLU-overexpressing T cells showed enhanced persistence and a trend towards reduced tumor growth. Mechanistically, proteomic analysis suggested that reduced ribosomal activity might delay T cell exhaustion, implicating metabolic reprogramming. In conclusion, CLU OE in tg T cells enhances their persistence and functionality by mitigating exhaustion, possibly through modulation of ribosomal activity and metabolic pathways. This strategy holds potential for improving adoptive T cell therapies against solid tumors.

immunology↗