Improving Precision of Proximity Ligation Assay by Amplified Single Molecule Detection

Proximity ligation assay (PLA) has been proven to be a robust protein detection method. The technique is characterized by high sensitivity and specificity, but the assay precision is probably limited by the PCR readout. To investigate this potential limitation and to improve precision, we developed a digital proximity ligation assay for protein measurement in fluids based on amplified single molecule detection. The assay showed significant improvements in precision, and thereby also detection sensitivity, over the conventional real-time PCR readout.     

Light Sheet Microscopy for Single Molecule Tracking in Living Tissue

Single molecule observation in cells and tissue allows the analysis of physiological processes with molecular detail, but it still represents a major methodological challenge. Here we introduce a microscopic technique that combines light sheet optical sectioning microscopy and ultra sensitive high-speed imaging. By this approach it is possible to observe single fluorescent biomolecules in solution, living cells and even tissue with an unprecedented speed and signal-to-noise ratio deep within the sample. Thereby we could directly observe and track small and large tracer molecules in aqueous solution. Furthermore, we demonstrated the feasibility to visualize the dynamics of single tracer molecules and native messenger ribonucleoprotein particles (mRNPs) in salivary gland cell nuclei of Chironomus tentans larvae up to 200 µm within the specimen with an excellent signal quality. Thus single molecule light sheet based fluorescence microscopy allows analyzing molecular diffusion and interactions in complex biological systems.     

Single Molecule Detection in Microstructures

Abstract

Identification and manipulation of molecules on the single molecule level is best done in microstructures. The capability of observing single dye molecules in microstructures is demonstrated. Single molecules of DNA (106 bp) labelled with the intercalating dye TO-PRO-1 could also be observed.     

Sensitivity Analysis of Gold Nanorod Biosensors for Single Molecule Detection

Single protein molecule detection is important for investigating molecular behavior and diagnosing diseases at an early stage. Gold nanorod (GNR) biosensors have shown promise for label-free detection of single protein molecules. However, for widespread applications of GNR biosensors with high sensitivity, detail studies are needed to understand the effects of the sensing environment and the molecular binding dynamics on the sensitivity. In this work, a comprehensive theoretical analysis with variable substrate, buffer, ligand, and binding position of the target molecules shows that GNR biosensors are highly sensitive for single molecule detection of biological samples including critical pathogens such as cancer marker thyroglobulin and human immunodeficiency virus (HIV) marker glycoprotein. We also propose and show that a GNR biosensor with a dielectric cladding layer on the body increases the sensitivity by orders of magnitude compared to other state-of-the-art biosensors.

     

Classification of Dynamical Diffusion States in Single Molecule Tracking Microscopy

Single molecule tracking of membrane proteins by fluorescence microscopy is a promising method to investigate dynamic processes in live cells. Translating the trajectories of proteins to biological implications, such as protein interactions, requires the classification of protein motion within the trajectories. Spatial information of protein motion may reveal where the protein interacts with cellular structures, because binding of proteins to such structures often alters their diffusion speed. For dynamic diffusion systems, we provide an analytical framework to determine in which diffusion state a molecule is residing during the course of its trajectory. We compare different methods for the quantification of motion to utilize this framework for the classification of two diffusion states (two populations with different diffusion speed). We found that a gyration quantification method and a Bayesian statistics-based method are the most accurate in diffusion-state classification for realistic experimentally obtained datasets, of which the gyration method is much less computationally demanding. After classification of the diffusion, the lifetime of the states can be determined, and images of the diffusion states can be reconstructed at high resolution. Simulations validate these applications. We apply the classification and its applications to experimental data to demonstrate the potential of this approach to obtain further insights into the dynamics of cell membrane proteins.     

Classification of Dynamical Diffusion States in Single Molecule Tracking Microscopy

Single molecule tracking of membrane proteins by fluorescence microscopy is a promising method to investigate dynamic processes in live cells. Translating the trajectories of proteins to biological implications, such as protein interactions, requires the classification of protein motion within the trajectories. Spatial information of protein motion may reveal where the protein interacts with cellular structures, because binding of proteins to such structures often alters their diffusion speed. For dynamic diffusion systems, we provide an analytical framework to determine in which diffusion state a molecule is residing during the course of its trajectory. We compare different methods for the quantification of motion to utilize this framework for the classification of two diffusion states (two populations with different diffusion speed). We found that a gyration quantification method and a Bayesian statistics-based method are the most accurate in diffusion-state classification for realistic experimentally obtained datasets, of which the gyration method is much less computationally demanding. After classification of the diffusion, the lifetime of the states can be determined, and images of the diffusion states can be reconstructed at high resolution. Simulations validate these applications. We apply the classification and its applications to experimental data to demonstrate the potential of this approach to obtain further insights into the dynamics of cell membrane proteins.     

Lucky Imaging: Improved Localization Accuracy for Single Molecule Imaging

We apply the astronomical data-analysis technique, Lucky imaging, to improve resolution in single molecule fluorescence microscopy. We show that by selectively discarding data points from individual single-molecule trajectories, imaging resolution can be improved by a factor of 1.6 for individual fluorophores and up to 5.6 for more complex images. The method is illustrated using images of fluorescent dye molecules and quantum dots, and the in vivo imaging of fluorescently labeled linker for activation of T cells.     

荧光单分子检测技术在生命科学中的应用

荧光单分子检测技术是用荧光标记来显示和追踪单个分子的构象变化、动力学,单分子之间的相互作用以及单分子操纵的研究。过去对于生命科学分子机制的研究,都是对分子群体进行研究,然后平均化来进行单分子估测。因此,单个分子的动态性和独立性也被平均化掉而无法表现出来。荧光单分子检测技术真正实现了对单个分子的实时观测,将过去被平均化并隐藏在群体测量中不能获得的信息显示出来。近几年来,荧光单分子检测技术的飞速发展,为生命科学的发展,开辟了全新的研究领域。现就荧光单分子检测技术在研究动力蛋白、DNA转录、酶反应、蛋白质动态性和细胞信号转导方面的应用进展作一综述。     

Spatial Cluster Detection for Repeatedly Measured Outcomes while Accounting for Residential History

Spatial cluster detection has become an important methodology in quantifying the effect of hazardous exposures. Previous methods have focused on cross‐sectional outcomes that are binary or continuous. There are virtually no spatial cluster detection methods proposed for longitudinal outcomes. This paper proposes a new spatial cluster detection method for repeated outcomes using cumulative geographic residuals. A major advantage of this method is its ability to readily incorporate information on study participants relocation, which most cluster detection statistics cannot. Application of these methods will be illustrated by the Home Allergens and Asthma prospective cohort study analyzing the relationship between environmental exposures and repeated measured outcome, occurrence of wheeze in the last 6 months, while taking into account mobile locations.     

Statistical Assessment of Change Point Detectors for Single Molecule Kinetic Analysis

Change point detectors (CPDs) are used to segment recordings of single molecules for the purpose of kinetic analysis. The assessment of the accuracy of CPD algorithms has usually been based on testing them with simulated data. However, there have not been methods to assess the output of CPDs from real data independent of simulation. Here we present one method to do this based on the assumption that the elementary kinetic unit is a stationary period (SP) with a normal distribution of samples, separated from other SPs by change points (CPs). Statistical metrics of normality can then be used to assess SPs detected by a CPD algorithm (detected SPs, DSPs). Two statistics in particular were found to be useful, the z-transformed skew (S _Z) and z-transformed kurtosis (K _Z). K _Z(S _Z) plots of DSP from noise, simulated data and single ion channel recordings showed that DSPs with false negative CP could be distinguished. Also they showed that filtering had a significant effect on the normality of data and so filtering should be taken into account when calculating statistics. This method should be useful for analyzing single molecule recordings where there is no simple model for the data.     

Single Molecule Detection Technologies in Miniaturized High Throughput Screening: Fluorescence Correlation Spectroscopy

Fluorescence assay technologies used for miniaturized high throughput screening are broadly divided into two classes. Macroscopic fluorescence techniques (encompassing conventional fluorescence intensity, anisotropy [also often referred to as fluorescence polarization] and energy transfer) monitor the assay volume- and time-averaged fluorescence output from the ensemble of emitting fluorophores. In contrast, single-molecule detection (SMD) techniques and related approaches, such as fluorescence correlation spectroscopy (FCS), stochastically sample the fluorescence properties of individual constituent molecules and only then average many such detection events to define the properties of the assay system as a whole. Analysis of single molecular events is accomplished using confocal optics with an illumination/detection volume of approximately 1 fl (10(-15) L) such that the signal is insensitive to miniaturization of HTS assays to 1 μl or below. In this report we demonstrate the general applicability of one SMD technique (FCS) to assay configuration for target classes typically encountered in HTS and confirm the equivalence of the rate/equilibrium constants determined by FCS and by macroscopic techniques. Advantages and limitations of the current FCS technology, as applied here, and potential solutions, particularly involving alternative SMD detection techniques, are also discussed.     

Single Molecule Methods for Monitoring Changes in Bilayer Elastic Properties

Membrane protein function is regulated by the cell membrane lipid composition. This regulation is due to a combination of specific lipid-protein interactions and more general lipid bilayer-protein interactions. These interactions are particularly important in pharmacological research, as many current pharmaceuticals on the market can alter the lipid bilayer material properties, which can lead to altered membrane protein function. The formation of gramicidin channels are dependent on conformational changes in gramicidin subunits which are in turn dependent on the properties of the lipid. Hence the gramicidin channel current is a reporter of altered properties of the bilayer due to certain compounds. Open in a separate windowClick here to view.^{(63M, flv)}     

Closing the Gap between Single Molecule and Bulk FRET Analysis of Nucleosomes

Nucleosome structure and stability affect genetic accessibility by altering the local chromatin morphology. Recent FRET experiments on nucleosomes have given valuable insight into the structural transformations they can adopt. Yet, even if performed under seemingly identical conditions, experiments performed in bulk and at the single molecule level have given mixed answers due to the limitations of each technique. To compare such experiments, however, they must be performed under identical conditions. Here we develop an experimental framework that overcomes the conventional limitations of each method: single molecule FRET experiments are carried out at bulk concentrations by adding unlabeled nucleosomes, while bulk FRET experiments are performed in microplates at concentrations near those used for single molecule detection. Additionally, the microplate can probe many conditions simultaneously before expending valuable instrument time for single molecule experiments. We highlight this experimental strategy by exploring the role of selective acetylation of histone H3 on nucleosome structure and stability; in bulk, H3-acetylated nucleosomes were significantly less stable than non-acetylated nucleosomes. Single molecule FRET analysis further revealed that acetylation of histone H3 promoted the formation of an additional conformational state, which is suppressed at higher nucleosome concentrations and which could be an important structural intermediate in nucleosome regulation.     

Isolation and Embedding of Single Nerve Cells for Electron Microscopy

Individual neurons have been isolated by freehand dissection under binocular, 40-100 power magnification from the lateral vestibular nucleus of fresh rabbit brain. The cells were fixed with glutaraldehyde and OsO₄ and dehydrated in 33%, 50%, 60% (v/v) and pure Durcupan A prior to embedding in Araldite 502. Blocks were cast in lids of BEEM capsules. The locating of the individually embedded cells and trimming of the blocks were facilitated by means of a holder that permitted visualization in both diffuse transmitted and incident light.     

Comparison of Flow Cytometry,Fluorescence Microscopy and Spectrofluorometry for Analysis of Gene Electrotransfer Efficiency

In this study, we compared three different methods used for quantification of gene electrotransfer efficiency: fluorescence microscopy, flow cytometry and spectrofluorometry. We used CHO and B16 cells in a suspension and plasmid coding for GFP. The aim of this study was to compare and analyse the results obtained by fluorescence microscopy, flow cytometry and spectrofluorometry and in addition to analyse the applicability of spectrofluorometry for quantifying gene electrotransfer on cells in a suspension. Our results show that all the three methods detected similar critical electric field strength, around 0.55 kV/cm for both cell lines. Moreover, results obtained on CHO cells showed that the total fluorescence intensity and percentage of transfection exhibit similar increase in response to increase electric field strength for all the three methods. For B16 cells, there was a good correlation at low electric field strengths, but at high field strengths, flow cytometer results deviated from results obtained by fluorescence microscope and spectrofluorometer. Our study showed that all the three methods detected similar critical electric field strengths and high correlations of results were obtained except for B16 cells at high electric field strengths. The results also demonstrated that flow cytometry measures higher values of percentage transfection compared to microscopy. Furthermore, we have demonstrated that spectrofluorometry can be used as a simple and consistent method to determine gene electrotransfer efficiency on cells in a suspension.     

DOLORS: Versatile Strategy for Internal Labeling and Domain Localization in Electron Microscopy

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Highlights? DOLORS is a strategy for EM labeling using AviTag and streptavidin ? Internal domains within a large protein can be labeled and identified ? Higher accuracy and precision are achieved by sampling multiple RCT reconstructions ? Offers a powerful method for deciphering moderate-resolution EM structures     

Detection of a Single Genetically Modified Bacterial Cell in Soil by Using Charge Coupled Device-Enhanced Microscopy

Genes encoding bioluminescence from Vibrio harveyi were cloned into Pseudomonas syringae pv. phaseoli-cola, resulting in high levels of bioluminescence. After inoculation of sterile and nonsterile soil slurries with bioluminescent P. syringae, cells could not be identified by conventional light microscopy. However, when we used charge coupled device-enhanced microscopy, bioluminescent single cells were detected easily in dark fields despite masking by soil particulate matter, and in addition, the extent of competition from indigenous soil bacteria could be monitored. The technique which we describe offers great potential for tracking and determining the spatial distribution of genetically marked microorganisms in the environment.     

Tracing Intracellular Localization and Chemical Forms of Copper in Elsholtzia splendens with Cluster Analysis

Copper (Cu) accumulation in soils is becoming a major environmental problem. Elsholtzia splendens, a Cu-tolerant plant growing in Cu mine areas, can accumulate high levels of Cu. This study develops a systematic method of detecting the intracellular localization and different chemical forms of Cu to comprehensively understand the mechanisms involved in Cu tolerance and detoxification of E. splendens. Various chemical forms of Cu were absorbed by E. splendens, the highest proportion of which was stored in its cell walls (68 %) and vacuoles (42 %). Most of the Cu in the roots, stems and leaves were extracted by 2 % hydrate acetic acid (HAc) in controls. The distribution characteristics of Cu, particularly in the roots, were closely related to the Cu tolerance of E. splendens. In addition, the binding capacity of Cu to soluble salts or proteins decreased and its binding capacity to insoluble oxalate increased with the increasing Cu supply. These results indicated that Cu ions were integrated with compounds of low bioavailable, such as undissolved phosphate or oxalate, which contributed to the metal tolerance and detoxification of E. splendens. Cluster analysis, based on Cu abundance levels, reveals that correlations exist between the chemical forms of Cu and their intracellular locations, which in turn indicates a relationship between their migration activity and toxicity.