Biology subjects

Goldschen-Ohm, M. P.

Publications and source records attributed to Goldschen-Ohm, M. P..

3 recordsLinked to original sources

bioRxiv2021

Single-molecule imaging with cell-derived nanovesicles reveals early binding dynamics at a cyclic nucleotide-gated ion channel

Ligand binding to membrane proteins is critical for many biological signaling processes. However, individual binding events are rarely directly observed, and their asynchronous dynamics are occluded in ensemble-averaged measures. For membrane proteins, single-molecule approaches that resolve these dynamics are challenged by dysfunction in nonnative lipid environments, lack of access to intracellular sites, and costly sample preparation. Here, we introduce an approach combining cell-derived nanovesicles, microfluidics, and single-molecule fluorescence colocalization microscopy to track individual binding events at a cyclic nucleotide-gated TAX-4 ion channel critical for sensory transduction. Our observations reveal dynamics of both nucleotide binding and a subsequent conformational change likely preceding pore opening. We further show that binding of the second ligand in the tetrameric channel is less cooperative than previously estimated from ensemble-averaged binding measures. This approach is broadly applicable to studies of binding dynamics for proteins with extracellular or intracellular domains in native cell membrane.

biophysics↗

bioRxiv2021

Unsupervised selection of optimal single-molecule time series idealization criterion

Single-molecule (SM) approaches have provided valuable mechanistic information on many biophysical systems. As technological advances lead to ever-larger datasets, tools for rapid analysis and identification of molecules exhibiting the behavior of interest are increasingly important. In many cases the underlying mechanism is unknown, making unsupervised techniques desirable. The Divisive Segmentation and Clustering (DISC) algorithm is one such unsupervised method that idealizes noisy SM time series much faster than computationally intensive approaches without sacrificing accuracy. However, DISC relies on a user selected objective criterion (OC) to guide its estimation of the ideal time series. Here, we explore how different OCs affect DISCs performance for data typical of SM fluorescence imaging experiments. We find that OCs differing in their penalty for model complexity each optimize DISCs performance for time series with different properties such as signal-to-noise and number of sample points. Using a machine learning approach, we generate a decision boundary that allows unsupervised selection of OC based on the input time series to maximize performance for different types of data. This is particularly relevant for SM fluorescence datasets which often have signal-to-noise near the derived decision boundary and include time series of nonuniform length due to stochastic bleaching. Our approach allows unsupervised per-molecule optimization of DISC, which will substantially assist rapid analysis of high-throughput single-molecule datasets with noisy samples and nonuniform time windows.

bioinformatics↗

bioRxiv2020

A critical residue in the α1M2-M3 linker regulating GABAA receptor pore gating by diazepam

Benzodiazepines (BZDs) are a class of widely prescribed psychotropic drugs. Their anxiolytic and sedative effects are conferred by modulating the activity of GABAA receptors (GABAARs), which are the primary inhibitory neurotransmitter receptors throughout the central nervous system. However, the physical mechanism by which BZDs exert their effects on the receptor is poorly understood. In particular, BZDs require coapplication with an agonist to effectively open the channel pore, making it difficult to dissect whether the drug has altered either agonist binding or channel gating as these two processes are intimately coupled. To isolate effects on gating we used a spontaneously active gain of function mutant (1L9T{beta}2{gamma}2L) that is directly gated by BZDs alone in the absence of agonist. In the 1L9T background we explored effects of alanine substitutions throughout the 1M2-M3 linker on modulation of the channel pore by the BZD positive modulator diazepam (DZ). The M2-M3 linker is known to be an important element for channel activation. Linker mutations generally impaired unliganded pore opening, indicating that side chain interactions are important for channel gating in the absence of bound agonist. All but one mutation had no effect on the transduction of chemical energy from DZ binding to pore gating. Strikingly, 1V279A doubles DZs energetic contribution to gating, whereas larger side chains at this site do not. In a wild-type background 1V279A enhances DZ-potentiation of currents evoked by saturating GABA, consistent with a direct effect on the pore closed/open equilibrium. Our observations identify an important residue regulating coupling between the BZD site and the pore gate, thereby shedding new light on the molecular mechanism of a frequently prescribed class of psychotropic drugs.

molecular biology↗