Gerlach, K. | bioRxiv Science

bioRxiv2026

HSF1 controls transcriptional programs that establish thalamostriatal shaft synaptic architecture and preserve cognitive flexibility

Cognitive flexibility (CF) declines during aging and is further impaired in neurodegenerative diseases such as Huntingtons disease (HD), yet the molecular mechanisms underlying these deficits remain poorly understood. Thalamostriatal (T-S) synapses are critical for CF, and we previously identified Heat Shock Factor 1 (HSF1) as a regulator of T-S density in HD. However, how HSF1 regulates T-S synapses and whether it modulates cognitive flexibility (CF) remained unclear. Here, we combined HSF1 ChIP-seq, transcriptomics, synapto-proteomics, targeted genetic manipulations and behavioral analyses to study how HSF1 regulates T-S synapses and CF. We found HSF1 directly controls a transcriptional program governing postsynaptic architecture and actin cytoskeletal dynamics, which are disrupted in aging and HD. Loss of HSF1 drives selective destabilization of actin patches at T-S shaft synapses and impaired CF decline. Our results underscore a novel function for HSF1 in the regulation of striatal neural circuits with essential implications in the neurobiology of cognitive flexibility.

neuroscience↗

bioRxiv2024

Integrated multi-model analysis of intestinal inflammation exposes key molecular features of preclinical and clinical IBD

BackgroundInflammatory bowel disease (IBD) is a chronic inflammatory condition of the intestine with a complex and multifaceted pathogenesis. While various animal models exist to study specific disease mechanisms relevant to human IBD, a comprehensive comparative framework linking these to IBD pathophysiology is lacking. ObjectiveIn our study, we aimed at providing a framework that delineates common and unique features encountered in 13 widely used mouse models comparing them with human IBD to identify translatable pathways in model-cohort pairs. Another aim of our study was to provide an explorable resource for looking up gene and pathway level changes in mouse models assisting in hypothesis testing and minimizing animal burden abiding by the 3R principals. DesignWe employed comparative transcriptomic analyses with curated and a priori statistical correlative methods between mouse models versus established as well as own patient datasets at both bulk and single cell levels. ResultsWe identify IBD-related pathways, ontologies, and cellular processes that are translatable between mouse models and patient cohorts. Moreover, we identify, known and novel IBD-associated subcellular mechanisms and how they are recapitulated in specific mouse models. ConclusionOur findings provide a valuable resource for selecting the most appropriate experimental paradigm to model unique features of IBD pathomechanisms, allowing analysis at the tissue, cellular, and subcellular levels. What is already known on this topicPreclinical modelling of IBD is key to the discovery of pathomechanisms and the evaluation of therapeutic approaches. However, individual models do not recapitulate the complexity of the disease and comprehensive studies comparing modelling paradigms with human IBD are lacking. What this study addsOur study provides a comparative analysis of thirteen commonly used intestinal inflammation models, identifying core-conserved pathways between mouse models and IBD patient cohorts. In addition, our study shows how specific pathways involved in IBD are recapitulated in specific mouse models and introduces a web tool to analyse the models. How this study might affect research, practice or policyBy identifying conserved and discrepant pathways between specific mouse models and IBD patient cohorts, our analysis platform provides an invaluable resource for translational IBD research.

systems biology↗