Gabriele S. Kaminski Schierle

This paper introduces a dual-gate OECT platform that suppresses drift and improves sensitivity for real-time biosensing in complex environments.

NeuroSuite provides a non-invasive platform for long-term electrophysiological monitoring of brain organoids, revealing neural network development and activity changes.

The paper presents results from an open competition to develop aging biomarkers using DNA methylation data, showing improved predictive models for age, mortality, and multi-morbidity.

This study shows α-synuclein modulates spontaneous dopamine release via calcium and phosphorylation-dependent mechanisms, independent of full-fusion recycling.

This study integrates multi-omic data from glioblastoma patients to identify a high-risk progenitor phenotype linked to poor survival and spatially defined tumor progression.

The paper shows that Aβ and mutant Tau reduce neuronal activity in young C. elegans before amyloid aggregation, with muscle-expressed Aβ affecting neurons via retrograde signaling.

The paper develops a hybrid machine learning framework to identify TDP-43 aggregation inhibitors, discovering two compounds effective in reducing aggregation in cell and model organism assays.

FLIMngo, a deep learning model, enables fast and accurate fluorescence lifetime predictions from low-photon FLIM data, improving throughput and reducing phototoxicity for in vivo applications.

This study shows that 24S-HC and 27-HC, brain cholesterol metabolites, cause neuronal dysfunction in human iPSC-derived neurons by disrupting calcium signaling, organelle function, and alpha-synuclein accumulation.

FLIMPA is an open-source software for FLIM phasor analysis that integrates data from multiple trials and provides tools for quantifying microtubule depolymerisation.

The paper demonstrates that stable CTPR proteins can be modified to bind alpha-synuclein fibrils with micromolar affinity, enabling the testing of fibril-binding peptides.

This study investigates how Ca2+ and Na+ ions affect alpha-synuclein aggregation and fibril polymorphism, revealing their distinct roles in modulating conformational dynamics and structural outcomes.

This paper uses contrastive learning on regional biomechanical properties from MRE to improve brain age prediction and detect neurodegeneration, finding that stiffness and damping ratio are sensitive biomarkers for Alzheimer's and MCI.

The paper investigates how mutations in the FUS protein affect axonal cytoskeletal organisation in ALS/FTD models, finding reduced actin density and axonal branch complexity.

The paper introduces PseudoSort, a machine learning algorithm for spike sorting, and applies it to MEA data from hippocampal neurons exposed to monomeric Tau, revealing its impact on neuronal activity.

This study investigates how monomeric and fibrillar alpha-synuclein interact with synaptic vesicles, showing fibrils disintegrate vesicles and increase neuronal uptake, potentially contributing to Parkinson's disease pathology.

The paper develops a multiplex reverse genetics platform to identify genetic modifiers of protein misfolding in neurodegenerative diseases and identifies DNAJB6 as a modifier of toxicity and solubility of ALS/FTD-linked RNA-binding proteins.

This study shows that satellite repeat transcripts in mouse ESCs drive heterochromatin condensates, which are crucial for chromosome stability and nuclear organization.

The paper develops a unified in vitro to in vivo fluorescence lifetime screening platform to identify amyloid β aggregation inhibitors, revealing a new compound effective in multiple models.

This paper introduces a label-free method using intrinsic fluorescence lifetime to characterize amyloids and their polymorphs, showing distinct fluorescence lifetimes for different amyloid structures and polymorphic populations.

The paper measures how different cellular environments affect alpha-synuclein's structure and aggregation, finding that specific regions drive nucleation and fibril elongation.

The paper shows that α-synuclein forms liquid droplets that mature into amyloid-rich hydrogels, suggesting Lewy body formation is linked to arrested maturation in the presence of lipids.

This study shows that intra-mitochondrial proteostasis influences alpha-synuclein and Aβ42 aggregation, while mitochondrial stress factors like complex I inhibition do not affect these pathologies.

This paper introduces a waveguide-based TIRFM system for live-cell imaging of delicate neurons over large fields of view, demonstrating its use with fibroblasts, rat hippocampal neurons, and Xenopus retinal ganglion cells.

The paper develops an in silico model of Parkinson's disease to explore causality links in molecular pathways during disease progression.