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Dora, M.

Publications and source records attributed to Dora, M..

3 recordsLinked to original sources

Olfactory Bulb Pinprick Induction of Cortical Spreading Depolarizations

Cortical spreading depolarization (CSD) is a wave of cellular depolarization followed by prolonged depression of neuronal activity and is associated with a broad array of neurological diseases, including migraine with aura, traumatic brain injury, and stroke. Traditional CSD induction methods for animal studies have included pinprick, concentrated potassium chloride (KCl) application, and electrical stimulation. These methods are invasive and can cause injury to the cortex. Recently, a non-invasive approach using optogenetics has become available, but requires the use of transgenic mice or transfection of an optogene, which limits its wide adoption. Here, we describe a novel approach using olfactory bulb needle insertion in rodents to induce CSD. We also included KCl-induced CSDs as a comparator in the same mice. Olfactory bulb pinprick resulted in CSDs on every attempt (n = 18/18) as confirmed with optical intrinsic signal imaging. Histological analysis revealed that needle disruption in the caudal olfactory bulb, which is continuous with the cerebral cortex, may account for the propagation of CSD from the olfactory bulb to the cortex. Olfactory bulb pinprick reliably induces CSD and is non-invasive with respect to cortex. The approach may prove to be useful in rodent studies where maintenance of cortical integrity is important.

neuroscience↗

Analyzing photoactivation with diffusion models to study transport in the Endoplasmic Reticulum network

Photoactivation is a paradigm consisting in local molecular fluorescent activation by laser illumination in a chosen region (source) while measuring the concentration at a target region. Data-driven modeling is concern with the following questions: how from the measurement in these two regions, is it possible to infer the properties of molecular propagation? How is it possible to use such reponses to infer motions occurring in networks such as the endoplasmic reticulum? In this article, we present a data-driven analysis based on diffusion-transport models and numerical simulations to interpret the photoactivation dynamics and extract biophysical parameters. Finally we discuss modeling approaches to reconstruct local network properties from photoactivation transients.

cell biology↗

Simultaneous photoactivation and high-speed structural tracking reveal diffusion-dominated motion in the endoplasmic reticulum

The endoplasmic reticulum (ER) is a structurally complex, membrane-enclosed compartment that stretches from the nuclear envelope to the extreme periphery of eukaryotic cells. The organelle is crucial for numerous distinct cellular processes, but how these processes are spatially regulated within the structure is unclear. Traditional imaging-based approaches to understanding protein dynamics within the organelle are limited by the convoluted structure and rapid movement of molecular components. Here, we introduce a combinatorial imaging and machine learning-assisted image analysis approach to track the motion of photoactivated proteins within the ER of live cells. We find that simultaneous knowledge of the underlying ER structure is required to accurately analyze fluorescently-tagged protein redistribution, and after appropriate structural calibration we see all proteins assayed show signatures of Brownian diffusion-dominated motion over micron spatial scales. Remarkably, we find that in some cells the ER structure can be explored in a highly asymmetric manner, likely as a result of uneven connectivity within the organelle. This remains true independently of the size or folding state of the fluorescently-tagged molecules, suggesting a potential role for ER connectivity in driving spatially regulated biology in eukaryotes.

cell biology↗