Biology subjects

Hentrich, T.

Publications and source records attributed to Hentrich, T..

8 recordsLinked to original sources

bioRxiv2026

Dynamic transcriptional remodeling in alcohol use disorder reveals immune dysregulation and adaptive shifts in coagulation during therapy

BackgroundChronic alcohol use disorder (AUD) is associated with profound dysregulation of immune function, neuroinflammation, and systemic stress responses, which contribute to both the maintenance of addiction and alcohol-related organ damage. While brain transcriptomic studies have established neuroimmune signaling and synaptic remodeling as central features of AUD, peripheral blood signatures during early withdrawal and recovery remain underexplored. Understanding the dynamic transcriptional changes in peripheral blood accompanying supervised withdrawal therapy is critical for identifying reversible molecular processes versus persistent trait-like alterations. MethodsRNA sequencing (RNA-seq) was performed on peripheral blood from individuals with alcohol use disorder (AUD, n = 100) and healthy controls (n = 74) at baseline and after three weeks of supervised withdrawal therapy. Differentially expressed genes (DEGs) were identified using linear mixed models assessing main effects of group, time, and their interaction. Functional enrichment and co-expression network analyses were performed to identify coordinated biological processes. ResultsAt baseline, more than 1,000 genes were differentially expressed between AUD and control participants, showing robust dysregulation of immune-related pathways. After three weeks of withdrawal, the number of DEGs decreased markedly to 141, indicating partial transcriptomic normalization. Nevertheless, immune dysregulation persisted despite treatment, particularly linked to B cell activation and cell-cell junctions. Interaction analyses (group x time) identified 16 genes whose expression dynamically changed with therapy, highlighting strong enrichment for fatty acid pathways. Co-expression network analysis revealed that baseline modules were enriched for genes associated with secretory granules and immune signaling, while therapy-related co-expression shifts involved coagulation and platelet activation processes. ConclusionsAUD is associated with widespread but partly reversible transcriptomic dysregulation in peripheral blood. These findings support a system-level view of AUD as a disorder of intertwined immune, metabolic, and coagulation biology and suggest that longitudinal blood transcriptomics may help identify both rapidly therapy-responsive and more stable molecular targets for relapse prevention.

molecular biology↗

bioRxiv2026

MethylBench: A comprehensive benchmark of DNA methylation profiling methods across diverse sequencing platforms

BackgroundDNA methylation can be profiled using multiple technologies that vary in resolution, coverage and cost. Prior benchmarking efforts have laid important groundwork, yet critical gaps remain. The SEQC2 EpiQC study[14] provided a multi-platform QC framework across whole-genome bisulfite sequencing (WGBS), oxidative bisulfite sequencing, enzymatic deamination, ONT and Illumina 850k arrays, showing high overall concordance but limited replication and no coverage of current enzymatic conversion, hybridization-based panels or modern long-read chemistries. More recently, Sigurpalsdottir et al.[40] systematically compared methylation detection tools within the long-read domain, demonstrating high ONT accuracy relative to oxidative bisulfite sequencing, but restricted their analysis to ONT and PacBio, excluding short-read, targeted-panel and array-based platforms as well as the biological interpretability of differential methylation across platform classes. A comprehensive cross-platform benchmark addressing coverage heterogeneity and annotation redundancy in the interpretation of differentially methylated cytosines thus remains absent. MethodsWe compared six widely used technologies - Illumina EPIC array, TWIST, Whole-Genome Enzymatic Conversion (WGEC), Reduced Representation Bisulfite Sequencing (RRBS), Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) - using GIAB reference samples and ten blood/fibroblast samples from 5 individuals. We assessed CpG coverage, consistency of differentially methylated cytosine (DMC) detection, and genomic annotation, with particular attention to overlapping signals across assays. ResultsDespite major assay differences, all technologies consistently identified DMCs enriched in promoter and intronic regions, marking these as robust hotspots of epigenetic variability. Annotation redundancy strongly shaped initial interpretations, with CpG island-related categories largely disappearing once annotations were collapsed to unique features. Sequencing-based methods (WGEC, TWIST, ONT) achieved the most comprehensive coverage, while EPIC arrays reliably captured promoter-associated differences despite limited scope. ONT showed strong concordance with short-read methods after coverage filtering, but required higher, more uniform coverage for reproducible CpG-level agreement. PacBio showed a coverage-independent discrepancy, with concordance plateauing regardless of mean coverage - pointing to residual technology-specific bias rather than a simple coverage effect. ConclusionsCross-platform benchmarking yields coherent biological insights once coverage and annotation redundancies are addressed. EPIC arrays remain valuable for promoter-focused cohort studies, WGEC and TWIST enable genome-wide discovery and ONT offers unique phasing and multimodal potential - together guiding method selection and more robust interpretation of DNA methylation data.

genomics↗

bioRxiv2025

Transcriptional Dysregulation in the Hippocampus of a murine model for Parkinson's Disease Cognition Impairment is Driven by Sex, Age, and Alpha-synuclein overexpression

Cognitive impairment is the most common and detrimental, but understudied non-motor symptom of Parkinsons disease (PD). Neuropathologically, it is associated with alpha-synuclein (Syn) misfolding and synapse loss in hippocampus and prefrontal cortex, leading to cognition loss and ultimately dementia. The molecular underpinnings of PD-associated cognitive dysfunction are unknown. In the present study, longitudinal gene expression profiling was performed to characterise molecular hippocampal alterations in a transgenic mouse overexpressing E46K mutated Syn, a model of early PD with loss of synaptophysin, a proxy marker of cognition, in hippocampus and cortex. Comparing 4 different ages of mice from both sexes showed that hippocampal gene expression changes were sexually dimorphic and strongly modulated by age and Syn overexpression. Pathways that emerged across different comparisons were connected to a variety of neuronal functions, collagen synthesis/remodelling, cellular stress, and inflammatory responses. The findings indicate that sex and age are essential covariates to consider when studying PD-associated cognitive decline. The uncovering of early events leading to disease in an animal model is an essential step toward prognostic biomarker identification and early interventions, which may have implications for monitoring, and for timing of therapeutic approaches.

neuroscience↗

bioRxiv2025

Laboratory yeast strains are highly diverse in lipid metabolism

The impact of the genetic background on the lipidome of yeast strains remains underexplored. This study systematically compares the lipidomes of five commonly used laboratory yeast strains: BY4741, W303, D273-10B, RM11-1a, and CEN.PK2-1c. Shotgun lipidomics reveals significant variations in lipid class and acyl chain composition down to the level of molecular species. Notably, the most abundant lipid class differed between the strains: phosphatidylinositol (PI) lipids are predominant in BY4741, while phosphatidylethanolamine (PE) lipids are in D273. Ergosterol esters, which are the storage form of the major yeast sterol ergosterol, are at higher levels in all strains other than BY4741, correlating with a low gene expression of lipid metabolic enzymes Hmg1 and Are2 in BY4741. Despite these lipidomic differences, transcriptomic analysis did not show significant changes in most genes related to lipid metabolism, suggesting post-transcriptional modifications, protein abundance, and metabolic flux as potential regulatory mechanisms. This study underscores the complexity of lipidome regulation and the need for further investigation into the underlying mechanisms.

biochemistry↗

bioRxiv2022

Blood transcriptome analysis suggests an indirect molecular association of early life adversities and adult social anxiety disorder by immune-related signal transduction

Social anxiety disorder (SAD) is a psychiatric disorder characterized by severe fear in social situations and avoidance of these. Multiple genetic as well as environmental factors contribute to the etiopathology of SAD. One of the main risk factors for SAD is stress, especially during early periods of life (early life adversity; ELA). ELA leads to structural and regulatory alterations contributing to disease vulnerability. This includes the dysregulation of the immune response. However, the molecular link between ELA and the risk for SAD in adulthood remain largely unclear. Evidence is emerging that long-lasting changes of gene expression patterns play an important role in the biological mechanisms linking ELA and SAD. Therefore, we performed a transcriptome study of SAD and ELA using RNA sequencing. Analyzing differential gene expression, 13 significantly differentially expressed genes (DEGs) were identified with respect to SAD whilst no significant differences in expression were identified with respect to ELA. The most significantly expressed gene was MAPK3 being upregulated in the SAD group compared to control individuals. In contrary, weighted gene co-expression network analyses (WGCNA) identified only modules significantly associated with ELA, not with SAD. Furthermore, analyzing interaction networks of the genes from the ELA-associated modules and the SAD-related MAPK3) revealed complex interactions of those genes. Gene functional enrichment analyses indicate a role of signal transduction pathways as well as inflammatory responses supporting an involvement of the immune system in the association of ELA and SAD. In conclusion, we did not identify a direct molecular link between ELA and adult SAD by transcriptional changes. However, our data indicate an indirect association of ELA and SAD mediated by the interaction of genes involved in immune-related signal transduction.

genomics↗

bioRxiv2021

Patient-derived endometrial organoids from MRKH patients: Insight in disease causing pathways

The uterus is responsible for the nourishment and mechanical protection of the developing embryo and fetus and is an essential part in mammalian reproduction. The Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome is characterized by agenesis of the uterus and upper part of the vagina in females with normal ovarian function. Although heavily studied, the cause of the disease is still enigmatic. Current research in the field of MRKH mainly focusses on DNA-sequencing efforts and, so far, failed to decipher the nature and heterogeneity of the disease, thereby holding back scientific and clinical progress. Here, we developed long-term expandable organoid cultures from endometrium found in uterine rudiment horns of MRKH patients. Phenotypically, they share great similarity with healthy control organoids and are surprisingly fully hormone responsive. Transcriptome analyses, however, identified an array of dysregulated genes that point at potentially disease-causing pathways altered during the development of the female reproductive tract. We consider the endometrial organoid cultures to be a powerful research tool that promise to enable an array of studies into the pathogenic origins of MRKH syndrome and possible treatment opportunities to improve patient quality of life.

developmental biology↗

bioRxiv2020

A novel Ataxin-3 knock-in mouse model mimics the human SCA3 disease phenotype including neuropathological, behavioral, and transcriptional abnormalities

BackgroundSpinocerebellar ataxia type 3 is the most common autosomal dominant inherited ataxia worldwide and is caused by a CAG repeat expansion in the Ataxin-3 gene resulting in a polyQ expansion in the corresponding protein. The disease is characterized by neuropathological (aggregate formation, cell loss), phenotypical (gait instability, body weight reduction), and specific transcriptional changes in affected brain regions. So far, there is no mouse model available representing all the different aspects of the disease, yet highly needed to gain a better understanding of the disease pathomechanism. MethodsHere, we characterized a novel Ataxin-3 knock-in mouse model, expressing either a heterozygous or homozygous expansion of 304 CAG/CAAs in the murine Ataxin-3 locus using biochemical, behavioral, and transcriptomic approaches. Further, we compared the transcriptional changes of the knock-in mice to those found in human SCA3 patients, to evaluate the comparability of our model. ResultsThe novel Ataxin-3 knock-in mouse is characterized by the expression of a polyQ-expansion in the murine Ataxin-3 protein, leading to massive aggregate formation, especially in brain regions known to be vulnerable in SCA3 patients, and impairment of Purkinje cells. Along these neuropathological changes, mice showed a reduction in body weight accompanied by gait and balance instability. Transcriptomic analysis of cerebellar tissue revealed age-dependent differential expression, enriched for genes attributed to myelinating oligodendrocytes. Comparing these transcriptional changes with those found in cerebellar tissue of SCA3 patients, we discovered an overlap of differentially expressed genes pointing towards similar gene expression perturbances in several genes linked to myelin sheaths and myelinating oligodendrocytes. ConclusionThe novel Ataxin-3 knock-in model shares neuropathological, behavioral, and transcriptomic features with human SCA3 patients and, therefore, represents an ideal model to investigate early-onset developments, therapy studies, or longitudinal biomarker alterations.

neuroscience↗

bioRxiv2020

The endometrial transcription landscape of MRKH syndrome

The Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome (OMIM 277000) is characterized by agenesis of the uterus and upper part of the vagina in females with normal ovarian function. While genetic causes have been identified for a small subset of patients and epigenetic mechanisms presumably contribute to the pathogenic unfolding, too, the etiology of the syndrome has remained largely enigmatic. A comprehensive understanding of gene activity in the context of the disease is crucial to identify etiological components and their potential interplay. So far, this understanding is lacking, primarily due to the scarcity of samples and suitable tissue. In order to close this gap, we profiled endometrial tissue of uterus rudiments in a large cohort of MRKH patients using RNA-seq and thereby provide a genome-wide view on the altered transcription landscape of the MRKH syndrome. Differential and co-expression analyses of the data identified cellular processes and candidate genes that converge on a core network of interconnected regulators that emerge as pivotal for the perturbed expression space. With these results and browsable access to the rich data through an online tool we seek to accelerate research to unravel the underlying biology of this syndrome.

genomics↗