Synthetic antibodies against BRIL as universal fiducial marks for single-particle cryoEM structure determination of membrane proteins

We propose the concept of universal fiducials based on a set of pre-made semi-synthetic antibodies (sABs) generated by customized phage display selections against the fusion protein BRIL, an engineered variant of apocytochrome b562a. These sABs can bind to BRIL fused either into the loops or termini of different GPCRs, ion channels, receptors and transporters without disrupting their structure. A crystal structure of BRIL in complex with an affinity-matured sAB (BAG2) that bound to all systems tested delineates the footprint of interaction. Negative stain and cryoEM data of several examples of BRIL-membrane protein chimera highlight the effectiveness of the sABs as universal fiducial marks. Taken together with a cryoEM structure of sAB bound human nicotinic acetylcholine receptor, this work demonstrates that these anti-BRIL sABs can greatly enhance the particle properties leading to improved cryoEM outcomes, especially for challenging membrane proteins

Synthetic antibodies against BRIL as universal fiducial marks for single−particle cryoEM structure determination of membrane proteins

We propose the concept of universal fiducials based on a set of pre-made semi-synthetic antibodies (sABs) generated by customized phage display selections against the fusion protein BRIL, an engineered variant of apocytochrome b562a. These sABs can bind to BRIL fused either into the loops or termini of different GPCRs, ion channels, receptors and transporters without disrupting their structure. A crystal structure of BRIL in complex with an affinity-matured sAB (BAG2) that bound to all systems tested delineates the footprint of interaction. Negative stain and cryoEM data of several examples of BRIL-membrane protein chimera highlight the effectiveness of the sABs as universal fiducial marks. Taken together with a cryoEM structure of sAB bound human nicotinic acetylcholine receptor, this work demonstrates that these anti-BRIL sABs can greatly enhance the particle properties leading to improved cryoEM outcomes, especially for challenging membrane proteins

Development of “Plug and Play” Fiducial Marks for Structural Studies of GPCR Signaling Complexes by Single-Particle Cryo-EM

“Universal” synthetic antibody (sAB)-based fiducial marks have been generated by customized phage display selections to facilitate the rapid structure determination of G protein-coupled receptor (GPCR) signaling complexes by single-particle cryo-electron microscopy (SP cryo-EM). sABs were generated to the two major G protein subclasses: trimeric G_i and G_s, as well as mini-G_s, and were tested to ensure binding in the context of their cognate GPCRs. Epitope binning revealed that multiple distinct epitopes exist for each G(αβγ) protein. Several Gβγ-specific sABs, cross-reactive between trimeric G_i and G_s, were identified suggesting they could be used across all subclasses in a “plug and play” fashion. sABs were also generated to a representative of another class of GPCR signaling partner, G protein receptor kinase 1 (GRK1) and evaluated further, supporting the generalizability of the approach. EM data suggested that the subclass-specific sABs provide effective single and dual fiducials for multiple GPCR signaling complexes

Development of “Plug and Play” Fiducial Marks for Structural Studies of GPCR Signaling Complexes by Single-Particle Cryo-EM

“Universal” synthetic antibody (sAB)-based fiducial marks have been generated by customized phage display selections to facilitate the rapid structure determination of G protein-coupled receptor (GPCR) signaling complexes by single-particle cryo-electron microscopy (SP cryo-EM). sABs were generated to the two major G protein subclasses: trimeric G_i and G_s, as well as mini-G_s, and were tested to ensure binding in the context of their cognate GPCRs. Epitope binning revealed that multiple distinct epitopes exist for each G(αβγ) protein. Several Gβγ-specific sABs, cross-reactive between trimeric G_i and G_s, were identified suggesting they could be used across all subclasses in a “plug and play” fashion. sABs were also generated to a representative of another class of GPCR signaling partner, G protein receptor kinase 1 (GRK1) and evaluated further, supporting the generalizability of the approach. EM data suggested that the subclass-specific sABs provide effective single and dual fiducials for multiple GPCR signaling complexes

Crystal structure of rhodopsin bound to arrestin by femtosecond X-ray laser.

G-protein-coupled receptors (GPCRs) signal primarily through G proteins or arrestins. Arrestin binding to GPCRs blocks G protein interaction and redirects signalling to numerous G-protein-independent pathways. Here we report the crystal structure of a constitutively active form of human rhodopsin bound to a pre-activated form of the mouse visual arrestin, determined by serial femtosecond X-ray laser crystallography. Together with extensive biochemical and mutagenesis data, the structure reveals an overall architecture of the rhodopsin-arrestin assembly in which rhodopsin uses distinct structural elements, including transmembrane helix 7 and helix 8, to recruit arrestin. Correspondingly, arrestin adopts the pre-activated conformation, with a ∼20° rotation between the amino and carboxy domains, which opens up a cleft in arrestin to accommodate a short helix formed by the second intracellular loop of rhodopsin. This structure provides a basis for understanding GPCR-mediated arrestin-biased signalling and demonstrates the power of X-ray lasers for advancing the frontiers of structural biology

Analysis of resource increase and decrease algorithm in wireless sensor networks

In this paper, we first attempt to formally define the resource control framework that adjusts the resource provisioning at the hotspot during congestion. In an effort to find the optimal resource control under the fidelity and energy constraints, we present a resource increase and decrease algorithm called Early Increase/Early Decrease (EIED) that tries to adjust the effective channel capacity quickly to the incoming traffic volume in an energy-efficient manner, thereby increasing the fidelity (or accuracy) level observed by the application during congestion. Under the framework of energy-constrained optimization, we prove this algorithm incurs the lowest overhead of energy consumption for the given fidelity level that is required by the application. 1