Biology subjects

Mueller, P. M.

Publications and source records attributed to Mueller, P. M..

4 recordsLinked to original sources

bioRxiv2026

Large-scale endoplasmic reticulum membrane solidification spatially organizes proteins under thermal or metabolic stress

Organelle homeostasis is a key determinant of cellular fitness, yet how cells remodel their membranes in response to environmental change remains unclear. Here, we identify a temperature- and lipid saturation-dependent transformation of endoplasmic reticulum membranes into giant, rigid, multilamellar tubes in cells and in vivo. These rods emerge from demixing of saturated lipids into solid-like domains - a previously unrecognised, large-scale endomembrane phase behaviour, fundamentally distinct from the transient liquid-ordered nanodomains of the plasma membrane. ER-tubulating reticulon-homology proteins are excluded from rods; their segregation drives progressive membrane flattening and ultimately multilayered wrapping. Surfactant-producing alveolar type-II lung cells, enriched in saturated lipids, form rods even at 37{degrees}C, demonstrating that native lipid metabolism can induce this transformation. This spatially organizing lipid-protein domain interplay may tune the ER tubule/sheet balance and provide a homeoviscous mechanism to preserve fluidity in the cholesterol-poor ER under thermal or metabolic stress.

cell biology↗

bioRxiv2023

Statistical power and false positive rates for interdependent outcomes are strongly influenced by test type: Implications for behavioral neuroscience

Statistical errors in preclinical science are a barrier to reproducibility and translation. For instance, linear models (e.g., ANOVA, linear regression) may be misapplied to data that violate assumptions. In behavioral neuroscience and psychopharmacology, linear models are frequently applied to interdependent or compositional data, which includes behavioral assessments where animals concurrently choose between chambers, objects, outcomes, or types of behavior (e.g., forced swim, novel object, place/social preference). The current study simulated behavioral data for a task with four interdependent choices (i.e., increased choice of a given outcome decreases others) using Monte Carlo methods. 16,000 datasets were simulated (1,000 each of 4 effect sizes by 4 sample sizes) and statistical approaches evaluated for accuracy. Linear regression and linear mixed effects regression (LMER) with a single random intercept resulted in high false positives (>60%). Elevated false positives were attenuated in an LMER with random effects for all choice-levels and a binomial logistic mixed effects regression. However, these models were underpowered to reliably detect effects at common preclinical sample sizes. A Bayesian method using prior knowledge for control subjects increased power by up to 30%. These results were confirmed in a second simulation (8,000 datasets). These data suggest that statistical analyses may often be misapplied in preclinical paradigms, with common linear methods increasing false positives, but potential alternatives lacking power. Ultimately, using informed priors may balance statistical requirements with ethical imperatives to minimize the number of animals used. These findings highlight the importance of considering statistical assumptions and limitations when designing research studies.

neuroscience↗

bioRxiv2019

Feasibility of a surface-coated lung model for the quantification of active agent deposition for preclinical studies

Multiple drug resistance (MDR) of a growing number of bacterial pathogens represents an increasing challenge in conventional curative treatments of infectious diseases. However, the development and testing of new antibiotics is associated with a high number of animal experiments. A symmetrical parametrized lung test rig allowing the exposure of air-passage surfaces to antibiotics was designed and tested to demonstrate proof-of-principle with aerosols containing allicin, which is an antimicrobial natural product from garlic. An artificial lung surface is coated with bacteria embedded in a hydrogel and growth inhibition is visualized by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), that is reduced from colourless to the dark blue formazan in the presence of metabolically active, living cells. A nebulizer is used to generate the aerosols. The results show that allicin has an antibiotic effect as an aerosol and that the deposition pattern of the active agent occurred mainly around the carinal regions. The model represents an integral system for continuous, spatial detection of aerosol deposition and allows the analysis of bacterial behaviour and the toxicity of the active agent. In this way the deposition of antimicrobial aerosols on the bronchial surfaces is characterized in preliminary tests without any animal experiments.

bioengineering↗

bioRxiv2018

Systematic Characterization of RhoGEF/RhoGAP Regulatory Proteins Reveals Organization Principles of Rho GTPase Signaling

Rho GTPases control cell morphogenesis and thus fundamental processes in all eukaryotes. They are regulated by 145 RhoGEF and RhoGAP multi-domain proteins in humans. How the Rho signaling system is organized to generate localized responses in cells and prevent their spreading is not understood. Here, we systematically characterized the substrate specificities, localization and interactome of the RhoGEFs/RhoGAPs and revealed their critical role in contextualizing and spatially delimiting Rho signaling. They localize to multiple compartments providing positional information, are extensively interconnected to jointly coordinate their signaling networks and are widely autoinhibited to remain sensitive to local activation. RhoGAPs exhibit lower substrate specificity than RhoGEFs and may contribute to preserving Rho activity gradients. Our approach led us to uncover a multi-RhoGEF complex downstream of G-protein-coupled receptors controlling a Cdc42/RhoA crosstalk. The spatial organization of Rho signaling thus differs from other small GTPases and expands the repertoire of mechanisms governing localized signaling activity.

cell biology↗