Biology subjects

Schwarz, D.

Publications and source records attributed to Schwarz, D..

8 recordsLinked to original sources

bioRxiv2026

pamiR: INVESTIGATING PLANT CELLS ONE ORGANELLE AT A TIME

Functional genetic redundancy (FGR) within gene families limits the discovery of gene function in plants because single-gene perturbations often fail to produce informative phenotypes. Artificial microRNAs (amiRNAs) provide a strategy to silence multiple related genes simultaneously. However, the existing amiRNA-based libraries used for genetic gene function discovery in plants do not account for the subcellular localization of gene products, which can lead to pleiotropic or difficult-to-interpret phenotypes. Plastids are essential plant cell organelles that integrate central metabolic and signaling processes, including photosynthesis, hormone biosynthesis, and environmental responses. Here we introduce pamiR, a plastid-targeted amiRNA library designed to enable organelle-specific gene function discovery in Arabidopsis thaliana. Using plastid proteomic datasets, we identified high-confidence plastid-localized proteins and designed amiRNAs to target their gene(s) (families) minimizing FGR. This amiRNA library was introduced in a vector with fluorescence-accumulating seed technology enabling rapid, herbicide-free selection and screening in the first generation. Validation by next-generation sequencing, confirmed high representation and uniform distribution of amiRNAs within pamiR. Proof-of-concept screens recovered mutants affecting known and additional candidate genes involved in photosynthesis and abscisic acid biosynthesis. Therefore, the pamiR library provides a fast platform for plastid-focused genetic screens that is compatible with existing mutant collections. One-sentence summaryThe plastid amiRNA (pamiR) library enables organelle-specific forward genetics without functional genetic redundancy.

plant biology↗

bioRxiv2025

Community Challenge towards Consensus on Characterization of Biological Tissue: C4Bios First Findings

This study investigates methodological variability across various expert laboratories worldwide, with regards to characterizing the mechanical properties of biological tissues. Two testing rounds were conducted on the specific use case of uniaxial tensile testing of porcine aorta. In the first round, 24 labs were invited to apply their established methods to assess inter-laboratory variability. This revealed significant methodological diversity and associated variability in the stress-stretch results, underscoring the necessity for a standardized approach. In the second round, a consensus protocol was collaboratively developed and adopted by 19 labs in an attempt to minimize variability. This involved standardized sample preparation and uniformity in testing protocol, including the use of a common cutting and thickness measurement tool. Despite protocol harmonization, significant variability persisted across labs, which could not be solely attributed to inherent biological differences in tissue samples. These results illustrate the challenges in unifying testing methods across different research settings, underlining the necessity for further refinement of testing practices. Enhancing consistency in biomechanical experiments is pivotal when comparing results across studies, as well as when using the resulting material properties for in silico simulations in medical research.

bioengineering↗

bioRxiv2025

Two distinct SWI/SNF complexes direct chromatin-linked transcriptional programs in Toxoplasma

Chromatin remodeling complexes dynamically modify DNA accessibility to mediate changes in gene expression during eukaryotic cell cycle progression, developmental transitions, and environmental adaptation. Higher eukaryotes have multiple remodeler subtypes based on the incorporation of different ATPases; however, the coordination and functional specificity of these diverse complexes is not well understood. Apicomplexan parasites such as Toxoplasma gondii have a limited set of chromatin remodelers offering a divergent setting in which to explore the function of homologous complexes. These parasites have selectively retained the Myb domain-containing proteins with homology to chromatin-associated regulators like SNF2H and SWI3. Here, a comprehensive analysis of the Myb protein family in Toxoplasma defines the composition of two SWI3 complexes defined by mutually exclusive ATPases with homology to the widely conserved BRG1 and BRM. Integrating transcriptomics with a custom chromatin-profiling strategy, we show that BRG1 is essential for the timely transcription of genes during mitosis and cytokinesis, while BRM ensures global transcriptional competency and fidelity throughout the cell cycle and developmental transitions. Our findings demonstrate that BRG1 and BRM perform distinct yet interdependent regulatory roles shaped by their chromatin context. This work uncovers ancestral principles of chromatin regulation and offers new insight into the functional diversification of SWI/SNF complexes across eukaryotes.

microbiology↗

bioRxiv2024

Welding PROxAb Shuttles: A modular approach for generating bispecific antibodies via site-specific protein-protein conjugation

Targeted protein degradation is an innovative therapeutic strategy to selectively eliminate disease-causing proteins. Exemplified by proteolysis-targeting chimeras (PROTACs), it has shown promise in overcoming drug resistance and targeting previously undruggable proteins. However, PROTACs face challenges such as low oral bioavailability and limited selectivity. The recently published PROxAb Shuttle technology offers a solution enabling targeted delivery of PROTACs using antibodies fused with PROTAC-binding domains derived from camelid single-domain antibodies (VHHs). Here, a modular approach to quickly generate PROxAb Shuttles by enzymatically coupling PROTAC-binding VHHs to off- the-shelf antibodies was developed. The resulting conjugates retained their target binding and internalization properties and incubation with BRD4-targeting PROTACs resulted in formation of defined PROxAb-PROTAC complexes. These complexes selectively induced degradation of the BRD4 protein, resulting in cytotoxicity specifically in cells expressing the antibodys target. The chemoenzymatic approach described here provides a versatile and efficient solution for generating antibody-VHH conjugates for targeted protein degradation applications but could also be used to combine antibody and VHH binders to generate bispecific antibodies for further applications.

biochemistry↗

bioRxiv2023

PROxAb Shuttle: A non-covalent plug-and-play platform for the rapid generation of tumor-targeting antibody-PROTAC conjugates

Proteolysis-targeting chimeras (PROTACs) have evolved in recent years from an academic idea to a therapeutic modality with more than 25 active clinical programs. However, achieving oral bioavailability and cell-type specificity remains a challenge, especially for PROTACs recruiting the von Hippel-Lindau (VHL) E3 ligase. Herein, we present an unprecedented, plug- and-play platform for VHL-recruiting PROTACs to overcome these limitations. Our platform allows for the generation of non-covalent antibody-PROTAC complexes within minutes and obviates the need for prior PROTAC modification, antibody-drug linker chemistry optimization or bioconjugation. Our technology relies on camelid-derived antibody domains (VHHs) which can easily be engineered into existing therapeutic antibody scaffolds. The resulting targeted, bispecific fusion proteins can be complexed with PROTACs at defined PROTAC-to-antibody ratios and have been termed PROxAb Shuttles. PROxAb Shuttles can prolong the half-life of PROTACs from hours to days, demonstrate anti-tumor efficacy in vivo and have the potential for reloading in vivo to further boost efficacy.

biochemistry↗

bioRxiv2023

An AI-based segmentation and analysis pipeline for high-field MR monitoring of cerebral organoids

BackgroundCerebral organoids simulate the structure and function of the developing human brain in vitro, offering a large potential for personalized therapeutic strategies. The enormous growth of this research area over the past decade with its capability for clinical translation makes a non-invasive, automated analysis pipeline of organoids highly desirable. PurposeThis work presents the first application of magnetic resonance imaging (MRI) for the non-invasive quantification and quality assessment of cerebral organoids using an automated analysis tool. Three specific objectives are addressed, namely organoid segmentation to investigate organoid development over time, global cysticity classification, and local cyst segmentation. MethodsNine wildtype cerebral organoids were imaged over nine weeks using high-field 9.4T MRI including a 3D T2*-w and 2D diffusion tensor imaging (DTI) sequence. This dataset was used to train a deep learning-based 3D U-Net for organoid and local cyst segmentation. For global cysticity classification, we developed a new metric, compactness, to separate low- and high-quality organoids. ResultsThe 3D U-Net achieved a Dice score of 0.92{+/-}0.06 (mean {+/-} SD) for organoid segmentation in the T2*-w sequence. For global cysticity classification, compactness separated low- and high-quality organoids with high accuracy (ROC AUC 0.98). DTI showed that low-quality organoids have a significantly higher diffusion than high-quality organoids (p < .001). For local cyst segmentation in T2*-w, the 3D U-Net achieved a Dice score of 0.63{+/-}0.15 (mean {+/-} SD). ConclusionWe present a novel non-invasive approach to monitor and analyze cerebral organoids over time using high-field MRI and state-of-the-art tools for automated image analysis, offering a comparative pipeline for personalized medicine. We show that organoid growth can be monitored reliably over time and low- and high-quality organoids can be separated with high accuracy. Local cyst segmentation is feasible but could be further improved in the future.

developmental biology↗

bioRxiv2020

Co-evolutionary Distance Prediction for Flexibility Prediction

Co-evolution analysis can be used to accurately predict residue-residue contacts from multiple sequence alignments. The introduction of machine-learning techniques has enabled substantial improvements in precision and a shift from predicting binary contacts to predicting distances between pairs of residues. These developments have significantly improved the accuracy of de novo prediction of static protein structures. Here we examine the potential of these residue-residue distance predictions to predict protein flexibility rather than static structure. We used DMPfold to predict distance distributions for every residue pair in a set of proteins that showed both rigid and flexible behaviour. Residue pairs that were in contact in at least one reference structure were considered and classified as rigid, flexible or neither. The predicted distance distribution of each residue pair was analysed for local maxima of probability indicating the most likely distance or distances between a pair of residues. The average number of local maxima per residue pair was found to be different between the sets of rigid and flexible residue pairs. Flexible residue pairs more often had multiple local maxima in their predicted distance distribution than rigid residue pairs suggesting that the shape of predicted distance distributions is predictive of rigidity or flexibility of residue pairs.

bioinformatics↗

bioRxiv2019

Identification of a master regulator of differentiation in Toxoplasma

Toxoplasma gondii chronically infects a quarter of the worlds population, and its recrudescence can cause life-threatening disease in immunocompromised individuals and recurrent ocular lesions in the immunocompetent. Chronic stages are established by differentiation of rapidly replicating tachyzoites into slow-growing bradyzoites, which form intracellular cysts resistant to immune clearance and existing therapies. Despite its central role in infection, the molecular basis of chronic differentiation is not understood. Through Cas9-mediated genetic screening and single-cell transcriptional profiling, we identify and characterize a putative transcription factor (BFD1) as necessary and sufficient for differentiation. Translation of BFD1 appears to be stress regulated, and its constitutive expression elicits differentiation in the absence of stress. As a Myb-like factor, BFD1 provides a counterpoint to the ApiAP2 factors which dominate our current view of parasite gene regulation. Overall, BFD1 provides a genetic switch to study and control Toxoplasma differentiation, and will inform prevention and treatment of chronic infection.

microbiology↗