Background pattern of a brain with neural connections
Cagla Eroglu

Cagla Eroglu

Co-PI (Core Leadership)

Duke University

Cagla Eroglu, PhD, is Associate Professor of Cell Biology and Neurobiology at Duke University. Dr. Eroglu’s laboratory investigates the cellular and molecular underpinnings of how synaptic circuits are established and remodeled in the mammalian brain by the bidirectional signaling between neurons and glia and how disruption of these mechanisms contributes to the pathogenesis of neurological disorders.

Dr. Eroglu received her PhD from the European Molecular Biology Laboratories and University of Heidelberg, Germany. She completed her postdoctoral training at Stanford University in the lab of Dr. Ben Barres. She joined the faculty of Cell Biology at Duke in 2008 and was promoted to Associate Professor with tenure in 2016. She has served as a member of Duke Institute for Brain Sciences and translating Duke Health Neuroscience Initiative steering committees since 2019.

Recent ASAP Preprints & Published Papers

SynBot: An open-source image analysis software for automated quantification of synapses

The formation of precise numbers of neuronal connections, known as synapses, is crucial for brain function. Therefore, synaptogenesis mechanisms have been one of the main focuses of neuroscience. Immunohistochemistry is a common tool for visualizing synapses. Thus, quantifying the numbers of synapses from light microscopy images enables screening the impacts of experimental manipulations on synapse development. Despite its utility, this approach is paired with low throughput analysis methods that are challenging to learn and results are variable between experimenters, especially when analyzing noisy images of brain tissue. We developed an open-source ImageJ-based software, SynBot, to address these technical bottlenecks by automating the analysis. SynBot incorporates the advanced algorithms ilastik and SynQuant for accurate thresholding for synaptic puncta identification, and the code can easily be modified by users. The use of this software will allow for rapid and reproducible screening of synaptic phenotypes in healthy and diseased nervous systems.

Astrocytic LRRK2 Controls Synaptic Connectivity through ERM Phosphorylation

Astrocytes tightly control neuronal connectivity and function in the brain through direct contact with synapses1–5. These glial cells become reactive during disease pathogenesis6–8 including Parkinson’s disease (PD)9–14. However, it remains unknown if astrocyte dysfunction is an initiating factor of PD pathogenesis and whether astrocytes can be targeted to stop or reverse the synaptic dysfunction seen in PD. Using in vitro and in vivo methods, we found that the PD-linked gene Lrrk2 controls astrocyte morphology via regulating the phosphorylation of ERM proteins (Ezrin, Radixin, and Moesin), a structural component of the perisynaptic astrocyte processes. ERM phosphorylation is robustly elevated both in mice and humans carrying the LRRK2 G2019S Parkinsonism mutation. Importantly, the reduction of the ERM phosphorylation, specifically in the LRRK2 G2019S in adult astrocytes, is sufficient to restore excitatory synapse number and function deficits in the LRRK2 G2019S knock-in mouse cortex. These results show a role for Lrrk2 in controlling astrocyte morphogenesis and synaptogenic function and reveal that early astrocyte dysfunction in PD could be causal to disruptions in cortical excitatory synaptic connectivity. The astrocytic dysfunction can be corrected by dampening ERM phosphorylation, pinpointing astrocytes as critical cellular targets for PD therapeutics.

Our Research Teams

Members of the CRN work diligently to advance our understanding of Parkinson’s disease. Learn more about recent CRN discoveries and achievements.