Biology subjects

Meletiou, A.

Publications and source records attributed to Meletiou, A..

5 recordsLinked to original sources

bioRxiv2024

Reduced non-specific binding of super-resolution DNA-PAINT markers by Shielded DNA-PAINT labeling protocols

The DNA-based single molecule super-resolution imaging approach, DNA-PAINT, can achieve nanometer resolution of single targets. However, the approach can suffer from significant non-specific background signals originating from non-specifically bound DNA-conjugated DNA-PAINT secondary antibodies as shown here. Using dye-modified oligonucleotides the location of DNA-PAINT secondary antibody probes can easily be observed with widefield imaging prior to beginning a super-resolution measurement. This reveals that a substantial proportion of DNA probes can accumulate, non-specifically, within the nucleus, as well as across the cytoplasm, of cells. Here, Shielded DNA-PAINT labeling is introduced, a method using partially or fully double-stranded docking strand sequences, prior to labeling, in buffers with increased ionic strength to greatly reduce non-specific interactions in the nucleus as well as the cytoplasm. This new labeling approach is evaluated against various conditions and it is shown that applying Shielded DNA-PAINT can reduce non-specific events [~]5 fold within the nucleus. This marked reduction in non-specific binding of probes during the labeling procedure is comparable to results obtained with unnatural left-handed DNA albeit at a fraction of the cost. Shielded DNA-PAINT is a straightforward adaption of current DNA-PAINT protocols and enables nanometer precision imaging of nuclear targets with low non-specific background.

biophysics↗

bioRxiv2023

Analysis of RyR2 distribution in HEK293 cells and mouse cardiac myocytes using 3D MINFLUX microscopy

The cardiac type 2 ryanodine receptor (RyR2) is a large homotetramer of a [~]560 kD subunit and is the molecular pathway through which the majority of Ca2+ enters the cytosol during cardiac activation. It constitutes the molecular basis of the process of calcium-induced calcium release where activation of RyR2s can be locally regenerative giving rise to local release events termed Ca2+ sparks. Accordingly, the molecular distribution of RyR2 in cardiac myocytes has been of great interest. Here we present the first purely optical data of RyR2 distribution with sub-molecular resolution by applying 3D MINFLUX fluorescence super-resolution microscopy. We demonstrate that by using single-domain antibodies (sdABs) against fluorescent protein domains in engineered RyR2 fluorescent protein fusions we can determine the location of individual RyR2 subunits with high precision ([~]3 nm) in all directions. Combining MINFLUX with DNA-PAINT, to maximize detection efficiency, we measured in situ labeling efficiencies using NPC structures as reference and regularly achieved efficiencies around 50%, which would translate to RyR2 detection efficiencies close to 95%, i.e. the probability that at least one subunit is detected, if target accessibility is similar. Using this approach, we detect dense and extended RyR2 expression in HEK cells with some clusters spanning several micrometres in extent and containing several hundred RyR2s. Similarly, myocytes from PA-RFP RyR2 mice contained large clusters containing many tens of RyR2s. The new data also suggests a resolution to apparent discrepancies between previous data from electron microscopy and super-resolution data. The methodology developed here will be critical to reveal the full complexity of RyR2 and related Ca2+ handling proteins in 3D as well as their relationship to contractile function. Our new approaches should be applicable to other multi-subunit complexes in cardiac muscle and other cell types.

physiology↗

bioRxiv2020

Repeat DNA-PAINT suppresses background and non-specific signals in optical nanoscopy

DNA-PAINT is a versatile optical super-resolution technique relying on the transient binding of fluorescent DNA imagers to target epitopes. Its performance in biological samples is often constrained by strong background signals and non-specific binding events, both exacerbated by high imager concentrations. Here we describe Repeat DNA-PAINT, a method that enables a substantial reduction in imager concentration, thus suppressing spurious signals. Additionally, Repeat DNA-PAINT reduces photoinduced target-site loss and can accelerate sampling, all without affecting spatial resolution.

molecular biology↗

bioRxiv2019

MuGVRE. A virtual research environment for 3D/4D genomics

Multiscale Genomics (MuG) Virtual Research Environment (MuGVRE) is a cloud-based computational infrastructure created to support the deployment of software tools addressing the various levels of analysis in 3D/4D genomics. Integrated tools tackle needs ranging from high computationally demanding applications (e.g. molecular dynamics simulations) to high-throughput data analysis applications (like the processing of next generation sequencing). The MuG Infrastructure is based on openNebula cloud systems implemented at the Institute for research in Biomedicine, and the Barcelona Supercomputing Center, and has specific interfaces for users and developers. Interoperability of the tools included in MuGVRE is maintained through a rich set of metadata allowing the system to associate tools and data in a transparent manner. Execution scheduling is based in a traditional queueing system to handle demand peaks in applications of fixed needs, and an elastic and multi-scale programming model (pyCOMPSs, controlled by the PMES scheduler), for complex workflows requiring distributed or multi-scale executions schemes. MuGVRE is available at https://vre.multiscalegenomics.eu and documentation and general information at https://www.multiscalegenomics.eu. The infrastructure is open and freely accessible.

bioinformatics↗

bioRxiv2019

Detecting nanoscale distribution of protein pairs by proximity-dependent super-resolution microscopy

Interactions between biomolecules such as proteins underlie most cellular processes. It is crucial to visualize these molecular-interaction complexes directly within the cell, to show precisely where these interactions occur and thus improve our understanding of cellular regulation. Currently available proximity-sensitive assays for in-situ imaging of such interactions produce diffraction-limited signals and therefore preclude information on the nanometer-scale distribution of interaction complexes. By contrast, optical super-resolution imaging provides information about molecular distributions with nanometer resolution which has greatly advanced our understanding of cell biology. However, current co-localization analysis of super-resolution fluorescence imaging is prone to false positive signals as the detection of protein proximity is directly dependent on the local optical resolution. Here we present Proximity-Dependent PAINT (PD-PAINT), a method for sub-diffraction imaging of protein pairs, in which proximity detection is decoupled from optical resolution. Proximity is detected via the highly distance-dependent interaction of two DNA labels anchored to the target species. Labeled protein pairs are then imaged with high contrast and nanoscale resolution using the super-resolution approach of DNA-PAINT. The mechanisms underlying the new technique are analyzed by means of coarse-grained molecular simulations and experimentally demonstrated by imaging DNA-origami tiles and epitopes of cardiac proteins in isolated cardiomyocytes. We show that PD-PAINT can be straightforwardly integrated in a multiplexed super-resolution imaging protocol and benefits from advantages of DNA-based super-resolution localization microscopy, such as high specificity, high resolution and the ability to image quantitatively.

molecular biology↗