Biology subjects

Strnad, P.

Publications and source records attributed to Strnad, P..

7 recordsLinked to original sources

bioRxiv2026

Protein arginine-methyltransferase 1 (PRMT1): a new pharmacological target in cholangiocarcinoma

Cholangiocarcinoma (CCA) is a highly aggressive malignancy characterized by poor prognosis, limited therapeutic options, and a predominantly immunosuppressive tumor microenvironment. Protein arginine methyltransferase 1 (PRMT1), the major mediator of asymmetric arginine dimethylation, has been implicated in multiple oncogenic processes, although its role in CCA remains unknown. Here, we demonstrate that PRMT1 is frequently overexpressed in human CCA and is associated with aggressive molecular subtypes and immune-desert tumors. Genetic dependency analyses and pharmacological inhibition using type I PRMT inhibitors markedly impaired CCA cell proliferation, clonogenicity, and tumoroid growth. Transcriptomic profiling revealed that PRMT1 inhibition induces broad alterations in gene expression and alternative splicing, affecting pathways involved in proliferation, apoptosis, DNA damage response, metabolism, and immune signaling. Mechanistically, PRMT1 targeting promoted genomic stress, accumulation of cytosolic double-stranded DNA, and activation of the cGAS-STING-TBK1-IRF3 signaling axis, resulting in enhanced interferon signaling and increased expression of T cell-recruiting chemokines, including CXCL9 and CXCL10. PRMT1 inhibition also synergized with cisplatin, poly-ADP-ribose polymerase (PARP) inhibition, and PRMT5 blockade in vitro and in patient-derived tumoroids. Importantly, in an aggressive orthotopic murine model of intrahepatic CCA, combined treatment with the PRMT1 inhibitor GSK3368715 and anti-PD-1 antibodies significantly reduced tumor burden and increased CD4+ and CD8+ T-cell infiltration compared with monotherapies. Collectively, these findings identify PRMT1 as a critical regulator of CCA growth and immune evasion and support the therapeutic potential of PRMT1 inhibition, particularly in combination with immunotherapy.

cancer biology↗

bioRxiv2026

SAHA increases chaperone expression and reduces Z-alpha-1-antitrypsin polymers in a patient specific iPSC-based liver model for alpha-1-antitrypsin deficiency

The most severe phenotype of alpha-1-antitrypsin deficiency (AATD) is caused by the Z-mutation within the SERPINA1 gene. The Glu342Lys substitution causes misfolding and polymerisation of the alpha-1-antitrypsin (AAT) protein, its accumulation in the ER and increases the susceptibility of hepatocytes towards ER-stress. Here, we present an induced pluripotent stem cell (iPSC)-based hepatic model to study AATD. We demonstrate that iPSCs from AATD patients differentiate equally well to hepatocyte-like cells (HLCs) as control iPSCs. We detected ZAAT polymers in patient-derived HLCs which could be reduced by SAHA or CBZ treatment. Transcriptome analyses revealed major differences in metabolism and signalling between control and AATD HLCs and indicated increased stress levels affecting intracellular organelles. Importantly, the transcriptomes of control and patient-derived cells separated into distinct clusters with respect to the expression of Heat-shock protein (HSP) encoding genes. SAHA treatment increased expression of various HSPs which might contribute towards reduced ZAAT polymers.

cell biology↗

bioRxiv2024

The proteomic landscape of proteotoxic stress in a fibrogenic liver disease

Protein misfolding diseases, including alpha-1 antitrypsin deficiency (AATD), pose significant health challenges, with their cellular progression still poorly understood1-3. We utilize spatial proteomics by mass spectrometry and machine learning to map AATD in human liver tissue. Combining Deep Visual Proteomics (DVP) with single-cell analysis4,5, we probe intact patient biopsies to resolve molecular events during hepatocyte stress in pseudo-time across fibrosis stages. We achieve unprecedented proteome depth of up to 3,800 proteins from a third of a single cell in formalin-fixed, paraffin-embedded (FFPE) tissue. This dataset revealed a potentially clinically actionable peroxisomal upregulation that precedes the canonical unfolded protein response. Our single-cell proteomics data show alpha-1 antitrypsin accumulation is largely cell-intrinsic, with minimal stress propagation between hepatocytes. We integrated proteomic data with AI-guided image-based phenotyping across multiple disease stages, revealing a terminal hepatocyte state characterized by globular protein aggregates and distinct proteomic signatures, notably including elevated TNFSF10/TRAIL expression. This phenotype may represent a critical disease progression stage. Our study offers novel insights into AATD pathogenesis and introduces a powerful methodology for high-resolution, in situ proteomic analysis of complex tissues. This approach holds potential to unravel molecular mechanisms in various protein misfolding disorders, setting a new standard for understanding disease progression at the single-cell level in human tissue.

cell biology↗

bioRxiv2023

Open top multi sample dual view light sheet microscope for live imaging of large multicellular systems

Multicellular systems grow over the course of weeks from single cells to tissues or even full organisms composed of several thousands of cells, making live imaging of such samples challenging. To bridge these wide spatiotemporal scales, we present an open top dual view and dual illumination light sheet microscope dedicated for live imaging of large specimens at single cell resolution. The novel configuration of objectives together with a flexible and customizable multi-well mounting system combines dual view with high throughput multi-position imaging. We use the newly developed microscope to image a wide variety of samples and highlight its capabilities to gain quantitative single-cell information in large specimens such as mature intestinal organoids and gastruloids.

developmental biology↗

bioRxiv2021

Cell-autonomous generation of the wave pattern within the vertebrate segmentation clock

Rhythmic and sequential segmentation of the growing vertebrate body relies on the segmentation clock, a multi-cellular oscillating genetic network. The clock is visible as tissue-level kinematic waves of gene expression that travel through the pre-somitic mesoderm (PSM) and arrest at the position of each forming segment. Here we test how this hallmark wave pattern is driven by culturing single maturing PSM cells. We compare their cell-autonomous oscillatory and arrest dynamics to those we observe in the embryo at cellular resolution, finding similarity in the relative slowing of oscillations and arrest in concert with differentiation. This shows that cell-extrinsic signals are not required by the cells to instruct the developmental program underlying the wave pattern. We show that a cell-autonomous timing activity initiates during cell exit from the tailbud, then runs down in the anterior-ward cell flow in the PSM, thereby using elapsed time to provide positional information to the clock. Exogenous FGF lengthens the duration of the cell-intrinsic timer, indicating extrinsic factors in the embryo may regulate the segmentation clock via the timer. In sum, our work suggests that a noisy cell-autonomous, intrinsic timer drives the slowing and arrest of oscillations underlying the wave pattern, while extrinsic factors in the embryo tune this timers duration and precision. This is a new insight into the balance of cell-intrinsic and -extrinsic mechanisms driving tissue patterning in development.

developmental biology↗

bioRxiv2021

Multiscale light-sheet organoid imaging framework

Organoids provide an accessible in-vitro system to mimic the dynamics of tissue regeneration and development. However, long-term live-imaging of organoids remains challenging. Here we present an experimental and image-processing framework capable of turning long-term light-sheet imaging of intestinal organoids into digital organoids. The framework combines specific imaging optimization combined with data processing via deep learning techniques to segment single organoids, their lumen, cells and nuclei in 3D over long periods of time. By linking lineage trees with corresponding 3D segmentation meshes for each organoid, the extracted information is visualized using a web-based "Digital Organoid Viewer" tool allowing unique understanding of the multivariate and multiscale data. We also show backtracking of cells of interest, providing detailed information about their history within entire organoid contexts. Furthermore, we show cytokinesis failure of regenerative cells and that these cells never reside in the intestinal crypt, hinting at a tissue scale control on cellular fidelity.

cell biology↗

bioRxiv2020

Polymerization of misfolded protein lowers CX3CR1 expression in human PBMCs

The CX3CR1 (chemokine (C-X3-C motif) receptor 1) expression levels on immune cells have significant importance in maintaining tissue homeostasis under physiological and pathological conditions. The factors implicated in the regulation of CX3CR1 and its specific ligand CX3CL1 (fractalkine) expression remain largely unknown. Recent studies provide evidence that host s misfolded proteins occurring in the forms of polymers or amyloid fibrils can regulate CX3CR1 expression. Herein, we present a novel example that polymers of human ZZ alpha1-antitrypsin (Z-AAT) protein, resulting from its conformational misfolding due to the Z (Glu342Lys) mutation in SERPINA1 gene, strongly lower CX3CR1 expression in human PBMCs. We also show that extracellular polymers of Z-AAT are internalized by PBMCs, which parallels with increased intracellular levels of CX3CR1 protein. Our findings support the role of extracellular misfolded proteins in CX3CR1 regulation and encourage conducting further studies on this issue.

cell biology↗