Biology subjects

Guse, A. H.

Publications and source records attributed to Guse, A. H..

2 recordsLinked to original sources

bioRxiv2026

Ryanodine receptor 1 is dispensable for CD4+ T-cell differentiation and effector function in intestinal inflammation models

T-cell receptor signaling is necessary for the activation and differentiation of CD4 T cells. Calcium (Ca2+) signaling is essential for this process, and the complexity of Ca2+ channels presents a potential therapeutic target for modulating the strength of T-cell receptor signaling and further differentiation of CD4 T cells. Nicotinic acid adenine dinucleotide phosphate (NAADP) is a potent Ca2+-mobilizing second messenger that triggers Ca2+ release through ryanodine receptor 1 (RYR1) in T cells. While the molecular and biophysical properties of NAADP-induced Ca2+ microdomains in T cells have been thoroughly investigated, and the function of the NAADP-HN1L/JPT2-RYR1 axis has been proven in T-cell activation and proliferation, its role in intestinal inflammation in vivo remains to be elucidated. In this study, we generated a conditional knockout mouse with Ryr1 deleted in {beta} T cells to investigate the functional relevance of RYR1 signaling in CD4 T cells. Ryr1 deletion in CD4+ T cells decreased TCR-induced Ca2+ microdomain formation, reduced peak Ca2+ amplitude and delayed initial velocity of global Ca2+ signaling in vitro. However, Ryr1 expression in CD4 T cells was dispensable for their pathogenicity in murine models of intestinal inflammation. Thus, Ryr1 expression in CD4+ T cells plays a redundant role in intestinal inflammation.

immunology↗

bioRxiv2021

Time-Dependent Image Restoration of Low-SNR Live Cell Ca2+ Fluorescence Microscopy Data

Live cell Ca2+ fluorescence microscopy is a cornerstone of cellular signaling analysis and imaging. The demand for high spatial and temporal imaging resolution is, however, intrinsically linked to a low signal-to-noise ratio (SNR) of the acquired spatio-temporal image data, which impedes subsequent image analysis. Advanced deconvolution and image restoration algorithms can partly mitigate the corresponding problems, but are usually defined only for static images. Frame-by-frame application to spatio-temporal image data neglects inter-frame contextual relationships and temporal consistency of the imaged biological processes. Here, we propose a variational approach to time-dependent image restoration built on entropy-based regularization specifically suited to process low- and lowest-SNR fluorescence microscopy data. The advantage of the presented approach is demonstrated by means of four data sets: synthetic data for in-depth evaluation of the algorithm behavior; two data sets acquired for analysis of initial Ca2+ microdomains in T cells; and, to illustrate transferability of the methodical concept to different applications, one dataset depicting spontaneous Ca2+ signaling in jGCaMP7b-expressing astrocytes. To foster re-use and reproducibility, the source code is made publicly available.

bioinformatics↗