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Lindner, S.

Publications and source records attributed to Lindner, S..

10 recordsLinked to original sources

Mouse dehydration as a consequence of water bottle design

Animal care technicians reported that accidental deaths of mice occur more frequently under certain weather conditions. This is surprising, given that modern mouse facilities are fully climate-controlled. Our investigation revealed that air bubbles become trapped in the drinking tube of water bottles and block the downward flow of water. Mice cannot drink from such bottles and become dehydrated. A coiled wire inside the drinking tube dislodges the air bubbles and ensures unrestricted access to water.

physiology↗

Rewiring Escherichia coli to Transform Formate into Methyl Groups

BackgroundBiotechnological applications are steadily growing and have become an important tool to reinvent the synthesis of chemicals and pharmaceuticals for lower dependence on fossil resources. In order to sustain this progression, new feedstocks for biotechnological hosts have to be explored. One-carbon (C1-)compounds, including formate, derived from CO2 or organic waste are accessible in large quantities with renewable energy, making them promising candidates. Previous studies showed that introduction of the formate assimilation machinery from Methylorubrum extorquens into Escherichia coli allows assimilation of formate into the established biotechnological host. Applying this established route for formate assimilation, we here investigated utilisation of formate for the production of value-added building blocks in E. coli using S-adenosylmethionine (SAM)-dependent methyltransferases. ResultsWe first analysed methylation activity in E. coli BL21 with a two-vector system to produce three different methyltransferases together with the formate assimilation machinery. Feeding isotopically labelled formate, products with 51 - 81% 13C-labelling could be obtained by maintaining in vivo methylation activity. Focussing on improvement of in vivo methylation, we analysed two further E. coli strains with an engineered C1-metabolism and, following condition optimisation, achieved a doubled methylation activity with a share of more than 70% formate-derived methyl groups. ConclusionsThis study demonstrates the efficient transformation of formate into methyl groups in E. coli. Our findings support that feeding formate can improve the availability of usable C1-compounds and, as a result, increase in vivo methylation activity in engineered E. coli.

biochemistry↗

Conditional language models enable the efficient design of proficient enzymes

The design of functional enzymes holds promise for transformative solutions across various domains but presents significant challenges. Inspired by the success of language models in generating nature-like proteins, we explored the potential of an enzyme-specific language model in designing catalytically active artificial enzymes. Here, we introduce ZymCTRL (enzyme control), a conditional language model trained on the enzyme sequence space, capable of generating enzymes based on user-defined specifications. Experimental validation at diverse data regimes and for different enzyme families demonstrated ZymCTRLs ability to generate active enzymes across various sequence identity ranges. Specifically, we describe the design of carbonic anhydrases and lactate dehydrogenases in zero-shot, without requiring further training of the model, and showcasing activity at sequence identities below 40% compared to natural proteins. Biophysical analysis confirmed the globularity and well-folded nature of the generated sequences. Furthermore, fine-tuning the model enabled the generation of lactate dehydrogenases outside of natural sequence space but with activity comparable to their natural counterparts. Two of the artificial lactate dehydrogenases were selected for scale production and successfully lyophilised, maintaining activity and demonstrating preliminary conversion in one-pot enzymatic cascades under extreme conditions. Our findings open a new door towards the rapid and cost-effective design of artificial proficient enzymes. The model and dataset are freely available to the community.

bioinformatics↗

Soquelitinb, A selective inhibitor of interleukin-2-inducible kinase (ITK), is active in several murine models of T cell-mediated inflammatory disease

Interleukin-2-inducible T cell kinase (or ITK) is a tyrosine kinase predominantly expressed by T lymphocytes. It plays a major role in T cell activation, differentiation, and receptor signaling. Studies in mouse models have established that the absence or inhibition of ITK reduces the secretion of Th2 and Th17 cytokines, while favoring the production of Th1 cytokines and the differentiation of T cells to regulatory T cells (T regs). We recently characterized the activity of soquelitinib (SQL), a selective, covalent inhibitor of ITK in vitro using mouse or human T cells and in vivo in murine models of cancer. We hypothesized that selective pharmacologic blockade of ITK could attenuate a variety of T cell-mediated inflammatory diseases including murine models that resemble asthma, pulmonary fibrosis, systemic sclerosis, psoriasis, and acute graft versus host disease. In each model, SQL demonstrated substantial ability to ameliorate the disease process along with effects on cytokines and/or T cell subsets consistent with the reported function of ITK. Our studies demonstrate that selective inhibition of ITK by SQL is potentially a novel therapeutic approach for several forms of T cell-mediated, inflammatory diseases.

immunology↗

Deciphering sources of PET signals in the tumor microenvironment of glioblastoma at cellular resolution

Various cellular sources hamper interpretation of positron-emission-tomography (PET) biomarkers in the tumor microenvironment (TME). We developed immunomagnetic cell sorting after in vivo radiotracer injection (scRadiotracing) in combination with 3D-histology via tissue clearing to dissect the cellular allocation of PET signals in the TME. In SB28 glioblastoma mice, translocator protein (TSPO) radiotracer uptake per tumor cell was higher compared to tumor-associated microglia/macrophages (TAMs). Cellular radiotracer uptake was validated by proteomics and confirmed for in vitro samples of patients with glioblastoma. Regional agreement between PET signals and single cell tracer uptake predicted the individual cell distribution in 3D-histology. In consideration of cellular tracer uptake and cell type abundance, tumor cells were the main contributor to TSPO enrichment in glioblastoma, however proteomics identified potential PET targets highly specific for TAMs. Combining cellular tracer uptake measures with 3D-histology facilitates precise allocation of complex PET signal sources and will serve to validate novel TAM-specific radioligands.

neuroscience↗

Synthetic carbon fixation via the autocatalytic serine threonine cycle

Atmospheric CO2 poses a major threat to life on Earth by causing global warming and climate change. On the other hand, it is the only carbon source that is scalable enough to establish a circular carbon economy. Accordingly, technologies to capture and convert CO2 to reduced one-carbon (C1) molecules (e.g. formate) using renewable energy are improving fast. Driven by the idea of creating sustainable bioproduction platforms, natural and synthetic C1-utilization pathways are engineered into industrially relevant microbes. The realization of synthetic C1-assimilation cycles in living organisms is a promising but challenging endeavour. Here, we engineer the autocatalytic serine threonine cycle, a synthetic C1-assimilation route in Escherichia coli. Our stepwise engineering approach in tailored selection strains combined with adaptive laboratory evolution experiments enabled the organism to grow on formate. The synthetic strain uses formate as the sole carbon and energy source and is capable of growing at ambient CO2 concentrations, demonstrating the feasibility of establishing synthetic C1-assimilation cycles over laboratory timescales.

synthetic biology↗

Pre-therapeutic Microglia Activation and Sex Determine Therapy Effects of Chronic Immunomodulation

Modulation of the innate immune system is emerging as a promising therapeutic strategy against Alzheimers disease (AD). However, determinants of a beneficial therapeutic effect are ill-understood. Thus, we investigated the potential of 18 kDa translocator protein positron-emission-tomography (TSPO-PET) for assessment of microglial activation in mouse brain before and during chronic immunomodulation. Serial TSPO-PET was performed during five months of chronic microglia modulation by stimulation of peroxisome proliferator-activated receptor (PPAR)-{gamma} with pioglitazone in two different mouse models of AD (PS2APP, AppNL-G-F). Using mixed statistical models on longitudinal TSPO-PET data, we tested for effects of therapy and sex on treatment response. We tested correlations of baseline with longitudinal measures of TSPO-PET, and correlations between PET results with spatial learning performance and {beta}-amyloid accumulation of individual mice. Immunohistochemistry was used to determine the molecular source of the TSPO-PET signal. Pioglitazone-treated female PS2APP and AppNL-G-F mice showed attenuation of the longitudinal increases in TSPO-PET signal when compared to vehicle controls, whereas treated male AppNL-G-F mice showed the opposite effect. Baseline TSPO-PET strongly predicted changes in microglial activation in treated mice (R=-0.874, p<0.0001) but not in vehicle controls (R=-0.356, p=0.081). Reduced TSPO-PET signal upon treatment was associated with better spatial learning and higher fibrillar {beta}-amyloid accumulation. Immunohistochemistry confirmed activated microglia to be the source of the TSPO-PET signal (R=0.952, p<0.0001). TSPO-PET represents a sensitive biomarker for monitoring of immunomodulation and closely reflects activated microglia. Pre-therapeutic assessment of baseline microglial activation and sex are strong predictors of individual immunomodulation effects and could serve for responder stratification.

neuroscience↗

Chronic PPARγ Stimulation Shifts Amyloidosis to Higher Fibrillarity but Improves Cognition

BackgroundWe undertook longitudinal {beta}-amyloid positron emission tomography (A{beta}-PET) imaging as a translational tool for monitoring of chronic treatment with the peroxisome proliferator-activated receptor gamma (PPAR{gamma}) agonist pioglitazone in A{beta} model mice. We thus tested the hypothesis this treatment would rescue from increases of the A{beta}-PET signal while promoting spatial learning and preservation of synaptic density. MethodsPS2APP mice (N=23; baseline age: 8 months) and AppNL-G-F mice (N=37; baseline age: 5 months) were investigated longitudinally for five months using A{beta}-PET. Groups of mice were treated with pioglitazone or vehicle during the follow-up interval. We tested spatial memory performance and confirmed terminal PET findings by immunohistochemical and biochemistry analyses. ResultsSurprisingly, A{beta}-PET and immunohistochemistry revealed a shift towards higher fibrillary composition of A{beta}-plaques during upon chronic pioglitazone treatment. Nonetheless, synaptic density and spatial learning were improved in transgenic mice with pioglitazone treatment, in association with the increased plaque fibrillarity. ConclusionThese translational data suggest that a shift towards higher plaque fibrillarity protects cognitive function and brain integrity. Increases in the A{beta}-PET signal upon immunomodulatory treatments targeting A{beta} aggregation can thus be protective.

neuroscience↗

In vivo selection for formate dehydrogenases with high efficiency and specificity towards NADP+

Efficient regeneration of cofactors is vital for the establishment of continuous biocatalytic processes. Formate is an ideal electron donor for cofactor regeneration due to its general availability, low reduction potential, and benign byproduct (CO2). However, formate dehydrogenases (FDHs) are usual specific to NAD+, such that NADPH regeneration with formate is challenging. Previous studies reported naturally occurring FDHs or engineered FDHs that accept NADP+, but these enzymes show low kinetic efficiencies and specificities. Here, we harness the power of natural selection to engineer FDH variants to simultaneously optimize three properties: kinetic efficiency with NADP+, specificity towards NADP+, and affinity towards formate. By simultaneously mutating multiple residues of FDH from Pseudomonas sp. 101, which exhibits no initial activity towards NADP+, we generate a library of >106 variants. We introduce this library into an E. coli strain that cannot produce NADPH. By selecting for growth with formate as sole NADPH source, we isolate several enzyme variants that support efficient NADPH regeneration. We find that the kinetically superior enzyme variant, harboring five mutations, has 5-fold higher efficiency and 13-fold higher specificity than the best enzyme previously engineered, while retaining high affinity towards formate. By using molecular dynamics simulations, we reveal the contribution of each mutation to the superior kinetics of this variant. We further determine how non-additive epistatic effects improve multiple parameters simultaneously. Our work demonstrates the capacity of in vivo selection to identify superior enzyme variants carrying multiple mutations which would be almost impossible to find using conventional screening methods.

biochemistry↗

Integrated transcriptomic, proteomic and epigenomic analysis of Plasmodium vivax salivary-gland sporozoites

Plasmodium vivax is the key obstacle to malaria elimination in Asia and Latin America, largely attributed to its ability to form resilient hypnozoites (sleeper-cells) in the host liver that escape treatment and cause relapsing infections. The decision to form hypnozoites is made early in the liver infection and may already be set in sporozoites prior to invasion. To better understand these early stages of infection, we undertook a comprehensive transcriptomic and histone epigenetic characterization of P. vivax sporozoites. The salivary-gland sporozoite transcriptome is heavily composed of transcripts associated with functions needed for early infection of the vertebrate host and development within hepatocytes. Through comparisons to recently published proteome data for the P. vivax sporozoite, our study finds that although highly transcribed, these transcripts are not detectable as proteins and may be regulated through translational repression; a finding we test for a small subset of transcripts and proteins through immunofluorescent microscopy of sporozoites and liver stages in humanized mice. We identify differential transcription between the sporozoite and published transcriptomes of asexual blood-stages and mixed versus hypnozoite-enriched liver stages. These comparisons point to multiple layers of transcriptional, post-transcriptional and post-translational control that appear active in sporozoites and to a lesser extent hypnozoites, but largely absent in replicating liver schizonts or mixed blood-stages. Common transcripts up-regulated in sporozoites and hypnozoites compared to mixed (i.e., schizont) liver-stages identify genes linked to dormancy/persistence in bacteria, amoebae and plants. We also characterise histone epigenetic modifications in the P. vivax sporozoite and explore their role in regulating transcription. Collectively, these data support the hypothesis that the sporozoite as a tightly programmed stage primed to infect the human host and identifies potential mechanisms for hypnozoite-formation that may be further explored in liver stage models.

microbiology↗