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O'Donnell, J. C.

Publications and source records attributed to O'Donnell, J. C..

2 recordsLinked to original sources

Astrocyte Transcriptomics in a Three-Dimensional Tissue-Engineered Rostral Migratory Stream

The glial tube is a longitudinal structure predominantly composed of densely bundled, aligned astrocytes that projects from subventricular zone (SVZ) to olfactory bulb. Neural precursor cells (NPCs) generated in the SVZ migrate through this glial tube - referred to as the rostral migratory stream (RMS) - to replace olfactory bulb interneurons in the mammalian brain. RMS astrocytes have distinct morphological and functional characteristics facilitating their unique purpose as an endogenous living scaffold directing NPC migration and maturation. However, the transcriptomic factors underlying these unique structure-function attributes versus standard stellate astrocytes have not been examined. We previously developed biofabrication techniques to create the first tissue-engineered rostral migratory stream (TE-RMS) that replicates key features of the glial tube in vivo. We have shown that TE-RMS astrocytes exhibit elongated nuclei, longitudinally aligned intermediate filaments, and enrichment of key functional proteins - cytoarchitectural and surface features characteristic of native RMS astrocytes. In the current study, we performed RNAseq on TE-RMS astrocytes in comparison to planar astrocyte cultures to identify gene expression patterns that may underlie their profound morphological and functional differences. Remarkably, we found 4008 differentially expressed genes in TE-RMS astrocytes, with 2076 downregulated (e.g. LOC690251, ccn5) and 1932 upregulated (e.g. lrrc45, cntn1) compared to planar astrocytes. Moreover, there were 256 downregulated and 91 upregulated genes with >3-fold change. We also conducted analyses of gene sets related to cytoskeleton and nuclear structure, revealing greatest enrichment of actin-related components. Overall, the TE-RMS offers a platform to study interplay between transcriptomic and cytoarchitectural dynamics in a unique astrocyte population.

bioengineering↗

Relationships between biomechanical parameters, neurological recovery, and neuropathology following concussion in swine

Mild traumatic brain injury (mTBI) affects millions of individuals annually primarily through falls, traffic collisions, or blunt trauma and can generate symptoms that persist for years. Closed-head rotational injury is the most common form of mTBI and is defined by a rapid change in acceleration within an intact skull. Injury kinematics - the mechanical descriptors of injury-inducing motion - explain movement of the head, energy transfer to the brain, and, therefore, determine injury severity. However, the relationship between closed-head rotational injury kinematics - such as angular velocity, angular acceleration, and injury duration - and outcome after mTBI is currently unknown. To address this gap in knowledge, we analyzed archived surgical records of 24 swine experiencing a diffuse closed-head rotational acceleration mTBI against 12 sham animals. Kinematics were contrasted against acute recovery outcomes, specifically apnea, extubation time, standing time, and recovery duration. Compared to controls, animals with mTBI were far more likely to have apnea (p<0.001) along with shorter time to extubation (p=0.023), and longer time from extubation to recovery (p=0.006). Using regression analyses with variable selection, we generated simplified linear models relating kinematics to apnea (R2=0.27), standing time (R2=0.39) and recovery duration (R2=0.42). Neuropathology was correlated with multiple kinematics, with maximum acceleration exhibiting the strongest correlation (R2=0.66). Together, these data suggest the interplay between multiple injury kinematics, including minimum velocity and middle to minimum acceleration time, best explain acute recovery parameters and neuropathology after mTBI in swine. Future experiments that independently manipulate individual kinematics could be instrumental in developing translational diagnostics for clinical mTBI.

neuroscience↗