Biology subjects

Gniffke, E. P.

Publications and source records attributed to Gniffke, E. P..

4 recordsLinked to original sources

bioRxiv2021

A repurposed drug screen identifies compounds that inhibit the binding of the COVID-19 spike protein to ACE2

Repurposed drugs that block the interaction between the SARS-CoV-2 spike protein and its receptor ACE2 could offer a rapid route to novel COVID-19 treatments or prophylactics. Here, we screened 2701 compounds from a commercial library of drugs approved by international regulatory agencies for their ability to inhibit the binding of recombinant, trimeric SARS-CoV-2 spike protein to recombinant human ACE2. We identified 56 compounds that inhibited binding by <90%, measured the EC50 of binding inhibition, and computationally modeled the docking of the best inhibitors to both Spike and ACE2. These results highlight an effective screening approach to identify compounds capable of disrupting the Spike-ACE2 interaction as well as identifying several potential inhibitors that could serve as templates for future drug discovery efforts.

pharmacology and toxicology↗

bioRxiv2021

Synaptic signaling networks encode experience by assuming stimulus-specific and brain-region-specific states

A core network of ubiquitously expressed glutamate-synapse-associated proteins mediates activity-dependent synaptic plasticity throughout the brain, but the specific proteomic composition of synapses differs between brain regions. Here, we sought to classify the diversity of activity-dependent remodeling across brain regions using quantitative protein interaction network (PIN) analysis. We first compared the response of cultured neurons to distinct stimuli, and defined PIN parameters that differentiate input types. We next compared the response of three different brain regions maintained alive in vitro to an identical stimulus, and identified three qualitatively different PIN responses. Finally, we measured the PIN response following associative learning tasks, delay and trace eyeblink conditioning, in three brain regions, and found that the two forms of associative learning are distinguished from each other using brain-region-specific network mechanisms. We conclude that although the PIN of the glutamatergic post-synapse is expressed ubiquitously, its activity-dependent dynamics show remarkable stimulus-specific and brain-region-specific diversity.

neuroscience↗

bioRxiv2020

Widespread Remodeling of Synaptic Protein Interaction Networks Following Homeostatic Plasticity in Cortical Neurons Requires Homer1 and Shank3

Neurons maintain constant levels of excitability using homeostatic scaling, which adjusts relative synaptic strength in response to large changes in overall activity. It is still unknown how homeostatic scaling affects network-level protein interactions in the synapse despite extensive reporting of individual scaling-associated transcriptomic and proteomic changes. Here, we assessed a glutamatergic synapse protein interaction network (PIN) composed of 380 binary interactions among 21 protein members to identify protein complexes altered by synaptic scaling in vitro and in vivo. In cultured cortical neurons, we observed widespread bidirectional PIN alterations during up- and downscaling that reflected rapid glutamate receptor shuttling via synaptic scaffold remodeling. Sensory deprivation of the barrel cortex caused a PIN response that reflected changes in mGluR tone and NMDAR-dependent metaplasticity, consistent with emerging models of homeostatic plasticity in the barrel cortex that restore excitatory/inhibitory balance. Mice lacking Homer1 or Shank3B did not undergo normal PIN rearrangements, suggesting that these Autism Spectrum Disorder (ASD)-linked proteins serve as structural hubs for synaptic homeostasis. Our approach demonstrates how changes in the protein content of synapses during homeostatic plasticity translate into functional PIN alterations that mediate changes in neuron excitability.

neuroscience↗

bioRxiv2019

Activity-dependent changes in synaptic protein complex composition are consistent in different detergents despite differential solubility

At the post-synaptic density (PSD), large protein complexes dynamically form and dissociate in response to synaptic activity, comprising the biophysical basis for learning and memory. The use of detergents to both isolate the PSD fraction and release its membrane-associated proteins complicates studies of these activity-dependent protein interaction networks, because detergents can simultaneously disrupt the very interactions under study. Despite widespread recognition that different detergents yield different experimental results, the effect of detergent on activity-dependent synaptic protein complexes has not been rigorously examined. Here, we characterize the effect of three detergents commonly used to study synaptic proteins on activity-dependent protein interactions. We first demonstrate that SynGAP-containing interactions are more abundant in 1% Deoxycholate (DOC), while Shank-, Homer-and mGluR5-containing interactions are more abundant in 1% NP-40 or Triton. All interactions were detected preferentially in high molecular weight (HMW) complexes generated by size exclusion chromatography, although the detergent-specific abundance of proteins in HMW fractions did not correlate with the abundance of detected interactions. Activity-dependent changes in protein complexes were consistent across detergent types, suggesting that detergents do not isolate distinct protein pools with unique behaviors. However, detection of activity-dependent changes is more or less feasible in different detergents due to baseline solubility. Collectively, our results demonstrate that detergents affect the solubility of individual proteins, but activity-dependent changes in protein interactions, when detectable, are consistent across detergent types.

neuroscience↗