Neil R. Anthony

Phase Networks of Cross-β Peptide Assemblies

Recent evidence suggests that simple peptides can access diverse amphiphilic phases, and that these structures underlie the robust and widely distributed assemblies implicated in nearly 40 protein misfolding diseases. Here we exploit a minimal nucleating core of the Aβ peptide of Alzheimers disease to map its morphologically accessible phases that include stable intermolecular molten particles, fibers, twisted and helical ribbons, and nanotubes. Analyses with both fluorescence lifetime imaging microscopy (FLIM) and transmission electron microscopy provide evidence for liquid-liquid phase separations, similar to the coexisting dilute and dense protein-rich liquid phases so critical for the liquid-solid transition in protein crystallization. We show that the observed particles are critical for transitions to the more ordered cross-β peptide phases, which are prevalent in all amyloid assemblies, and identify specific conditions that arrest assembly at the phase boundaries. We have identified a size dependence of the particles in order to transition to the para-crystalline phase and a width of the cross-β assemblies that defines the transition between twisted fibers and helically coiled ribbons. These experimental results reveal an interconnected network of increasing molecularly ordered cross-β transitions, greatly extending the initial computational models for cross-β assemblies.

Design of Asymmetric Peptide Bilayer Membranes

Energetic insights emerging from the structural characterization of peptide cross-β assemblies have enabled the design and construction of robust asymmetric bilayer peptide membranes. Two peptides differing only in their N-terminal residue, phosphotyrosine vs lysine, coassemble as stacks of antiparallel β-sheets with precisely patterned charged lattices stabilizing the bilayer leaflet interface. Either homogeneous or mixed leaflet composition is possible, and both create nanotubes with dense negative external and positive internal solvent exposed surfaces. Cross-seeding peptide solutions with a preassembled peptide nanotube seed leads to domains of different leaflet architecture within single nanotubes. Architectural control over these cross-β assemblies, both across the bilayer membrane and along the nanotube length, provides access to highly ordered asymmetric membranes for the further construction of functional mesoscale assemblies.

Catalytic diversity in self-propagating peptide assemblies

The protein-only infectious agents known as prions exist within cellular matrices as populations of assembled polypeptide phases ranging from particles to amyloid fibres. These phases appear to undergo Darwinian-like selection and propagation, yet remarkably little is known about their accessible chemical and biological functions. Here we construct simple peptides that assemble into well-defined amyloid phases and define paracrystalline surfaces able to catalyse specific enantioselective chemical reactions. Structural adjustments of individual amino acid residues predictably control both the assembled crystalline order and their accessible catalytic repertoire. Notably, the density and proximity of the extended arrays of enantioselective catalytic sites achieve template-directed polymerization of new polymers. These diverse amyloid templates can now be extended as dynamic self-propagating templates for the construction of even more complex functional materials.

Gammaherpesvirus Co-infection with Malaria Suppresses Anti-parasitic Humoral Immunity

Immunity to non-cerebral severe malaria is estimated to occur within 1-2 infections in areas of endemic transmission for Plasmodium falciparum. Yet, nearly 20% of infected children die annually as a result of severe malaria. Multiple risk factors are postulated to exacerbate malarial disease, one being co-infections with other pathogens. Children living in Sub-Saharan Africa are seropositive for Epstein Barr Virus (EBV) by the age of 6 months. This timing overlaps with the waning of protective maternal antibodies and susceptibility to primary Plasmodium infection. However, the impact of acute EBV infection on the generation of anti-malarial immunity is unknown. Using well established mouse models of infection, we show here that acute, but not latent murine gammaherpesvirus 68 (MHV68) infection suppresses the anti-malarial humoral response to a secondary malaria infection. Importantly, this resulted in the transformation of a non-lethal P. yoelii XNL infection into a lethal one; an outcome that is correlated with a defect in the maintenance of germinal center B cells and T follicular helper (Tfh) cells in the spleen. Furthermore, we have identified the MHV68 M2 protein as an important virus encoded protein that can: (i) suppress anti-MHV68 humoral responses during acute MHV68 infection; and (ii) plays a critical role in the observed suppression of anti-malarial humoral responses in the setting of co-infection. Notably, co-infection with an M2-null mutant MHV68 eliminates lethality of P. yoelii XNL. Collectively, our data demonstrates that an acute gammaherpesvirus infection can negatively impact the development of an anti-malarial immune response. This suggests that acute infection with EBV should be investigated as a risk factor for non-cerebral severe malaria in young children living in areas endemic for Plasmodium transmission.

Global analysis in fluorescence correlation spectroscopy and fluorescence lifetime microscopy.

Fluorescence correlation spectroscopy (FCS) and related fluctuation spectroscopy and microscopy methods have become important research tools that enable detailed investigations of the chemical and physical properties of molecules and molecular systems in a variety of complex environments. Information recovery via curve fitting of fluctuation data can present complicating challenges due to limited resolution and/or problems with fitting model verification. We discuss a new approach to data analysis called τFCS that couples multiple modes of signal acquisition, here specifically FCS and fluorescence lifetimes, with global analysis. We demonstrate enhanced resolution using τFCS, including the capability to recover the concentration of both molecular species in a two-component mixture even when the species have identical diffusion coefficients and molecular brightness values, provided their fluorescent lifetimes are distinct. We also demonstrate how τFCS provides useful tools for model discrimination in FCS curve fitting.

τFCS: multi-method global analysis enhances resolution and sensitivity in fluorescence fluctuation measurements.

Fluorescence fluctuation methods have become invaluable research tools for characterizing the molecular-level physical and chemical properties of complex systems, such as molecular concentrations, dynamics, and the stoichiometry of molecular interactions. However, information recovery via curve fitting analysis of fluctuation data is complicated by limited resolution and challenges associated with identifying accurate fit models. We introduce a new approach to fluorescence fluctuation spectroscopy that couples multi-modal fluorescence measurements with multi-modal global curve fitting analysis. This approach yields dramatically enhanced resolution and fitting model discrimination capabilities in fluctuation measurements. The resolution enhancement allows the concentration of a secondary species to be accurately measured even when it constitutes only a few percent of the molecules within a sample mixture, an important new capability that will allow accurate measurements of molecular concentrations and interaction stoichiometry of minor sample species that can be functionally important but difficult to measure experimentally. We demonstrate this capability using τFCS, a new fluctuation method which uses simultaneous global analysis of fluorescence correlation spectroscopy and fluorescence lifetime data, and show that τFCS can accurately recover the concentrations, diffusion coefficients, lifetimes, and molecular brightness values for a two component mixture over a wide range of relative concentrations.

Structural heterogeneities of self-assembled peptide nanomaterials

We use Fluorescence Lifetime Imaging Microscopy (FLIM) and Second Harmonic Imaging Microscopy (SHIM) to investigate the fundamental molecular mechanisms responsible for nucleation and growth of amyloidogenic-derived nanomaterials. The nanomaterials are assembled from of Amyloid-β(16-22), specifically Ac-KLVFFAE-NH2, the nucleating core of the Alzheimers Amyloid-β protein. We describe how FLIM and SHIM can be used to follow different nucleation pathways and to quantify structural heterogeneities within these complex nanomaterials. New evidence suggests that different structures emerge from distinct nucleation pathways and these insights inform our understanding of the peptide self-assembly mechanisms. We discuss these insights in the context of a top down understanding of amyloidogenic diseases, the bottom up control of functional nanomaterials and the discovery of realtime structural indicators for nanofabrication strategies.

Imaging Nucleation, Growth and Heterogeneity in Self-Assembled Amyloid Phases

Abstract Advances in electron and fluorescence microscopy imaging are now providing molecular-level resolution of macromolecular and supramolecular dynamic self-organization. Nowhere has this information been more impactful than in understanding the increasing diversity of biomolecular misfolding diseases. The amyloid-β protein associated with Alzheimer’s disease and its congeners have now offered insight into both neurodegenerative disease as well as functional scaffolds for constructing bio-inspired nanomaterials. Here we discuss the exploitation of these methods within these dynamic networks of paracrystalline supramolecular phases, and define minimal nucleation events, resolve the templated propagation events, and reveal the complex dynamic molecular networks of these polymorphic assemblies.

Enhanced resolution and sensitivity in fluorescence fluctuation measurements using multi-modal data acquisition and global analysis

Fluorescence correlation spectroscopy (FCS) and related fluctuation spectroscopy and microscopy methods have become important research tools that enable detailed investigations of the chemical and physical properties of molecules and molecular systems in a variety of complex environments. When analyzed successfully fluctuation measurements often provide unique information that is otherwise difficult to measure, such as molecular concentrations and interaction stoichiometry. However, information recovery via curve fitting of fluctuation data can present challenges due to limited resolution and/or problems with fitting model verification. We discuss a new approach to fluctuation data analysis coupling multi-modal fluorescence measurements and global analysis, and demonstrate how this approach can provide enhanced sensitivity and resolution in fluctuation measurements. We illustrate the approach using a combination of FCS and fluorescence lifetime measurements, here called τFCS, and demonstrate the capability to recover the concentration of two independent molecular species in a two component mixture even when the species have identical diffusion coefficients and molecular brightness values. This work was partially supported by NSF grants MCB0817966 and DMR0907435.