Biology subjects

Matthews, R. T.

Publications and source records attributed to Matthews, R. T..

3 recordsLinked to original sources

bioRxiv2025

Astrocytic Regulation of aberrant perineuronal net formation in Mecp2-null Neocortex

Rett syndrome (RTT), caused by mutations in MECP2, is a complex neurological disorder characterized by myriad physiological disruptions, including early closure of the critical period of developmental plasticity and precocious formation of perineuronal nets (PNNs). PNNs are lattice-like substructures of extracellular matrix (ECM) that enwrap specific subpopulations of neurons. PNNs are essential in the modulation of neuronal plasticity and brain maturation, and their enzymatic disruption can partially restore plasticity in adults and improve memory. Although precocious PNN formation is well-established in RTT, little is known of the cellular, molecular, or biochemical underpinnings of their precocious formation, or whether precocious PNN formation is due to cell-autonomous or non-cell-autonomous mechanisms. While PNNs form on subsets of neurons throughout the brain, astrocytes secrete many ECM components that form PNNs, and they play a central role in controlling closure of the critical period. We find that Mecp2-null astrocyte conditioned media induces the expression of the key PNN component Hapln1 and causes enhanced PNN formation on wildtype neurons, suggesting that Mecp2-null astrocytes play a key role in the precocious formation of PNNs in RTT. Further, we identify increased expression of HAPLN1 and other PNN / ECM components in the developing Mecp2-null cortex, and demonstrate that PNNs are structurally and biochemically mature at an earlier developmental stage. These results provide essential insight into the mechanisms and structure of aberrant PNNs in Mecp2-null cortex and identify potential new avenues for targeted rescue or reversal of the precocious closing of the critical period in RTT.

neuroscience↗

bioRxiv2024

The hyaluronan-binding activity of aggrecan is important, but not essential, for its specific insertion into perineuronal nets

Aggrecan (ACAN) is a large, secreted chondroitin sulfate proteoglycan that includes three globular regions named G1, G2, G3, and is decorated with multiple glycosaminoglycan attachments between its G2 and G3 domains. The N-terminal G1 region interacts with the glycosaminoglycan hyaluronan (HA), which is an essential component of the vertebrate extracellular matrix. In the central nervous system, ACAN is found in perineuronal nets (PNNs), honeycomb-like structures that are enriched on parvalbumin-positive neurons in specific neural circuits. PNNs regulate the plasticity of the central nervous system, and it is believed that association between ACAN and HA is a foundational event in the assembly of these reticular structures. Here, we report the co-crystal structure of the G1 region of ACAN in the absence and presence of an HA decasaccharide and analyze the importance of the HA-binding activity of ACAN for its integration into PNNs. We demonstrate that the single immunoglobulin domain and the two Link modules that comprise the G1 region form a single structural unit, and that HA is clamped inside a groove that spans the length of the tandem Link domains. Introduction of point mutations in the glycosaminoglycan-binding site eliminates HA-binding activity in ACAN, but, surprisingly, only decreases the integration of ACAN into PNNs. Thus, these results suggest that the HA-binding activity of ACAN is important for its recruitment to PNNs, but it does not appear to be essential.

biochemistry↗

bioRxiv2024

Contactin-1 is a critical neuronal cell surface receptor for perineuronal net structure

Perineuronal nets (PNNs), are neuron-specific substructures within the neural extracellular matrix (ECM). These reticular structures form on a very small subset of neurons in the central nervous system (CNS) and yet have a profound impact in regulating neuronal development and physiology. PNNs are well-established as key regulators of plasticity in the CNS. Their appearance coincides with the developmental transition of the brain more to less plastic state. And, importantly, numerous studies have demonstrated that indeed PNNs play a primary role in regulating this transition. There is, however, a growing literature implicating PNNs in numerous roles in neural physiology beyond their role in regulating developmental plasticity. Accordingly, numerous studies have shown PNNs are altered in a variety of neurological and neuropsychiatric diseases, linking them to these conditions. Despite the growing interest in PNNs, the mechanisms by which they modulate neural functions are poorly understood. We believe the limited mechanistic understanding of PNNs is derived from the fact that there are limited models, tools or techniques that specifically target PNNs in a cell-autonomous manner and without also disrupting the surrounding neural ECM. These limitations are primarily due to our incomplete understanding of PNN composition and structure. In particular, there is little understanding of the neuronal cell surface receptors that nucleate these structures on subset of neurons on which they form in the CNS. Therefore, the main focus our work is to identify the neuronal cell surface proteins critical for PNN formation and structure. In our previous studies we demonstrated PNN components are immobilized on the neuronal surface by two distinct mechanisms, one dependent on the hyaluronan backbone of PNNs and the other mediated by a complex formed by receptor protein tyrosine phosphatase zeta (RPTP{zeta}) and tenascin-R (Tnr). Here we first demonstrate that the Tnr-RPTP{zeta} complex in PNNs is bound to the cell surface by a glycosylphosphatidylinositol (GPI)-linked receptor protein. Using a biochemical and structural approach we demonstrate the GPI-linked protein critical for binding the Tnr-RPTP{zeta} complex in PNNs is contactin-1 (Cntn1). We further show the binding of this complex in PNNs by Cntn1 is critical for PNN structure. We believe identification of CNTN1 as a key cell-surface protein for PNN structure is a very significant step forward in our understanding of PNN formation and structure and will offer new strategies and targets to manipulate PNNs and better understand their function.

neuroscience↗