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Eisenman, L. R.

Publications and source records attributed to Eisenman, L. R..

2 recordsLinked to original sources

Measuring Amorphous Motion: Application of Optical Flow to Three-Dimensional Fluorescence Microscopy Images

Motion is an essential component of any living system. It is rich with information, but it is often challenging to quantitatively extract biologically informative results from the motion apparent in microscopy images. This challenge is exacerbated by the wide variety in biological movement, which often takes the form of difficult-to-segment amorphous structures undergoing complex motion. An image processing technique known as optical flow can capture motion at each pixel in an image, thus bypassing the need for object segmentation or a priori definition of motion types. This makes it a powerful tool for quantitative assessment of biological systems from the protein to organism scale. However, despite its flexibility and strengths for analyzing fluorescence microscopy images, its adoption in the bioimaging community has been limited by the availability of easy-to-use tools and guidance in results interpretation. Here we describe an optical flow tool, OpticalFlow3D, that can be run in Python or MATLAB and is compatible with three-dimensional microscopy images. Using biological examples across length scales, we illustrate how OpticalFlow3D can enable new biological insight.

bioinformatics↗

A Kalirin Missense Mutation Enhances Dendritic RhoA Signaling and Leads to Regression of Cortical Dendritic Arbors Across Development

Normally, dendritic size is established prior to adolescence then remains relatively constant into adulthood due to a homeostatic balance between growth and retraction pathways. However, schizophrenia is characterized by accelerated reductions of cerebral cortex gray matter volume and onset of clinical symptoms during adolescence, with reductions in layer 3 pyramidal neuron dendritic length, complexity, and spine density identified in multiple cortical regions postmortem. Nogo receptor 1 (NGR1) activation of the GTPase RhoA is a major pathway restricting dendritic growth in the cerebral cortex. We show that the NGR1 pathway is stimulated by OMGp and requires the Rho guanine nucleotide exchange factor, Kalirin-9 (KAL9). Using a genetically encoded RhoA sensor, we demonstrate that a naturally occurring missense mutation in Kalrn, KAL-PT, that was identified in a schizophrenia cohort, confers enhanced RhoA activitation in neuronal dendrites compared to wildtype KAL. In mice containing this missense mutation at the endogenous locus there is an adolescent-onset reduction in dendritic length and complexity of layer 3 pyramidal neurons in the primary auditory cortex. Tissue density of dendritic spines was also reduced. Early adult mice with these structural deficts exhibited impaired detection of short gap durations. These findings provide a neuropsychiatric model of disease capturing how a mild genetic vulnerability may interact with normal developmental processes such that pathology only emerges around adolescence. This interplay between genetic susceptibility and normal adolescent development, both of which possess inherent individual variability, may contribute to heterogeneity seen in phenotypes in human neuropsychiatric disease. SIGNIFICANCE STATEMENTDendrites are long branching processes on neurons that contain small processes called spines that are the site of connections with other neurons, establishing cortical circuitry. Dendrites have long been considered stable structures, with rapid growth prior to adolescence followed by maintenance of size into adulthood. However, schizophrenia is characterized by accelerated reductions of cortical gray matter volume and onset of clinical symptoms during adolescence, with reductions in dendritic length present when examined after death. We show that dendrites retain the capacity for regression, and that a mild genetic vulnerability in a regression pathway leads to onset of structural impairments in previously formed dendrites across adolescence. This suggests that targeting specific regression pathways could potentially lead to new therapeutics for schizophrenia.

neuroscience↗