Modifying the pH sensitivity of OmpG nanopore for improved detection at acidic pH.

The outer membrane protein G (OmpG) nanopore is a monomeric ß-barrel channel consisting of seven flexible extracellular loops. Its most flexible loop, loop 6, can be used to host high-affinity binding ligands for the capture of protein analytes, which induces characteristic current patterns for protein identification. At acidic pH, the ability of OmpG to detect protein analytes is hampered by its tendency toward the closed state, which renders the nanopore unable to reveal current signal changes induced by bound analytes. In this work, critical residues that control the pH-dependent gating of loop 6 were identified, and an OmpG nanopore that can stay predominantly open at a broad range of pHs was created by mutating these pH-sensitive residues. A short single-stranded DNA was chemically tethered to the pH-insensitive OmpG to demonstrate the utility of the OmpG nanopore for sensing complementary DNA and a DNA binding protein at an acidic pH.

A Selective Activity-Based Approach for Analysis of Enzymes with an OmpG Nanopore.

Many enzymatic activity assays are based on either (1) identifying and quantifying the enzyme with methods such as western blot or enzyme-linked substrate assay (ELISA) or (2) quantifying the enzymatic reaction by monitoring the changing levels of either product or substrate. We have generated an outer membrane protein G (OmpG)-based nanopore approach to distinguish enzyme identity as well as analyze the enzyme's catalytic activity. Here, we engineered an OmpG nanopore with a peptide cut site inserted into one of its loops to detect proteolytic behavior. In addition, we generated an OmpG nanopore with a single-stranded DNA attached to a loop for analyzing nucleolytic cleavage. This OmpG nanopore approach may be highly useful in analyzing specific enzymes in complex biological samples, or in directly determining kinetics of enzyme-substrate complex association and dissociation.

Simulation of pH-Dependent, Loop-Based Membrane Protein Gating Using Pretzel.

Bacterial porins often exhibit ion conductance and gating behavior which can be modulated by pH. However, the underlying control mechanism of gating is often complex, and direct inspection of the protein structure is generally insufficient for full mechanistic understanding. Here we describe Pretzel, a computational framework that can effectively model loop-based gating events in membrane proteins. Our method combines Monte Carlo conformational sampling, structure clustering, ensemble energy evaluation, and a topological gating criterion to model the equilibrium gating state under the pH environment of interest. We discuss details of applying Pretzel to the porin outer membrane protein G (OmpG).

Protein Analyte Sensing with an Outer Membrane Protein G (OmpG) Nanopore.

Nanopore sensing is a powerful lab-on-a-chip technique that allows for the analysis of biomarkers present in small sample sizes. In general, nanopore clogging and low detection accuracy arise when the sample becomes more and more complex such as in blood or lysate. To address this, we developed an OmpG nanopore that distinguishes among not only different proteins in a mixture but also protein homologs. Here, we describe this OmpG-based nanopore system that specifically analyzes targets biomarkers in complex mixtures.