Molecular Biology

Zebrafish is an excellent model to study vertebrate neurobiology, but its synaptic components that mediate and regulate fast electrical synaptic transmission are largely unidentified. Here, we describe methods to solubilize and immunoprecipitate adult zebrafish brain homogenate under conditions to preserve electrical synapse protein complexes. The methods presented are well-suited to probe electrical synapse immunocomplexes, and potentially other brain-derived immunocomplexes, for candidate interactors from zebrafish brain.

The transmembrane receptor–ligand interactions play a vital role in the physiological and pathological processes of living cells, such as immune cell activation, neural synapse formation, or viral invasion into host cells. Mounting evidence suggests that these processes involve mechanosensing and mechanotransduction, which are directly mediated by the force-dependent transmembrane receptor–ligand interactions. Some single-molecule force spectroscopy techniques have been applied to investigate force-dependent kinetics of receptor–ligand interactions. Among these, the biomembrane force probe (BFP), a unique and powerful technique, can quantitatively and accurately determine the force-dependent parameters of transmembrane receptor–ligand interactions at the single-molecule level on living cells. The stiffness, spatial resolution, force, and bond lifetime range of BFP are 0.1–3 pN/nm, 2–3 nm, 1–10³ pN, and 5 × 10^-4–200 s, respectively. Therefore, this technique is very suitable for studying transient and weak interactions between transmembrane receptors and their ligands. Here, we share in detail the in situ characterization of the single-molecule force-dependent bond lifetime of transmembrane receptor–ligand interactions, based on a force-clamp assay with BFP.

Autophagy is an evolutionarily conserved intracellular degradation process. During autophagy, a set of autophagy-related (ATG) proteins orchestrate the formation of double-bound membrane vesicles called autophagosomes to engulf cytoplasmic material and deliver it to the vacuole for breakdown. Among ATG proteins, the ATG8 is the only one decorating mature autophagosomes and therefore is regarded as a bona fide autophagic marker; colocalization assays with ATG8 are wildly used as a reliable method to identify the components of autophagy machinery or autophagic substrates. Here, we describe a colocalization assay with fluorescent-tagged ATG8 using a tobacco (Nicotiana benthamiana)-based transient expression system.

Detecting protein-protein interactions (PPIs) is one of the most used approaches to reveal the molecular regulation of protein of interests (POIs). Immunoprecipitation of POIs followed by mass spectrometry or western blot analysis enables us to detect co-precipitated POI-binding proteins. However, some binding proteins are lost during cell lysis or immunoprecipitation if the protein binding affinity is weak. Crosslinking POI and its binding proteins stabilizes the PPI and increases the chance of detecting the interacting proteins. Here, we introduce the method of DSP (dithiobis(succinimidyl propionate))-mediated crosslinking, followed by tandem immunoprecipitation (FLAG and HA tags). The eluted proteins interacting with POI can be analyzed by mass spectrometry or western blotting. This method has the potential to be applied to various cytoplasmic proteins.

Graphical abstract:

Asymmetric cell division (ACD) is fundamental for balancing cell proliferation and differentiation in metazoans. During active neurogenesis in the developing zebrafish forebrain, radial glia progenitors (RGPs) mainly undergo ACD to produce one daughter with high activity of Delta/Notch signaling (proliferative cell fate) and another daughter with low Delta/Notch signaling (differentiative cell fate). The cell polarity protein partitioning-defective 3 (Par-3) is critical for regulating this process. To understand how polarized Par-3 on the cell cortex can lead to differential Notch activity in the nuclei of daughter cells, we combined an anti-Delta D (Dld) -atto 647N antibody uptake assay with label retention expansion microscopy (LR-ExM), to obtain high resolution immunofluorescent images of Par-3, dynein light intermediate chain 1 (Dlic1), and Dld endosomes in mitotic RGPs. We then developed a protocol for analyzing the colocalization of Par-3, Dlic1, and endosomal DeltaD, using JACoP (Just Another Co-localization Plugin) in ImageJ software (Bolte and Cordelières, 2006). Through such analyses, we have shown that cytosolic Par-3 is associated with Dlic1 on Dld endosomes. Our work demonstrates a direct involvement of Par-3 in dynein-mediated polarized transport of Notch signaling endosomes. This bio-protocol may be generalizable for analysis of protein co-localization in any cryosectioned and immunostained tissue samples.

Biolayer interferometry (BLI) is an emerging analytical tool that allows the study of protein complexes in real time to determine protein complex kinetic parameters. This article describes a protocol to determine the K_D of a protein complex using a 6×His tagged fusion protein as bait immobilized on the NTA sensor chip of the FortéBio^® Octet K2 System (Sartorius). We also describe how to determine the half maximal effective concentration (EC₅₀, also known as IC₅₀ for inhibiting effectors) of a metabolite. The complete protocol allows the determination of protein complex K_D and small molecular effector EC₅₀ within 8 h, measured in triplicates.

Graphic abstract:

Principle of the Biolayer interferometry measurement. (Middle, top) Exemplary result of the BLI measurement using Octet^® (Raw Data). Wavelength shift (Δλ) against time. (A) Baseline 1. Baseline measurement. When the sensor is equilibrated in the kinetics buffer. The light is reflected with no difference. (B) Load. The his-tagged proteins (ligand) are loaded onto the sensor surface. The light is reflected with a shift of the wavelength. (C) Baseline 2. The loaded sensor is equilibrated in the kinetics buffer. No further wavelength shift appears. (D) Association. The loaded sensor is dipped into the analyte solution. The analyte binds to the immobilized ligand along with an increased wavelength shift. (E) Dissociation. Afterward, the sensor is dipped again into the kinetics buffer without the analyte. Some analyte molecules dissociate. The wavelength shift decreases. (Subfigures A-E) The left side shows the position of the sensor during the measurement seen in the representative BLI measurement, marked with the figure label. The right side shows the light path in the sensor. Black waves represent the light emitted to the sensor surface. The red waves show the light reflected from the sensor surface back to the detector.

The phenomenon of reversible liquid-liquid phase separation of proteins underlies the formation of membraneless organelles, which are crucial for cellular processes such as signalling and transport. In addition, it is also of great interest to uncover the mechanisms of further irreversible maturation of the functional dense liquid phase into aberrant insoluble assemblies due to its implication in human disease. Recent advances in methods based on atomic force microscopy (AFM) have made it possible to study protein condensates at the nanometer level, providing unprecedented information on the nature of the intermolecular interactions governing phase separation. Here, we provide an in-depth description of a protocol for the characterisation of the morphology, stiffness, and chemical properties of protein condensates using infrared nanospectroscopy (AFM-IR).

The α-β tubulin heterodimer undergoes subtle conformational changes during microtubule assembly. These can be modulated by external factors, whose effects on microtubule structure can be characterized on 2D views obtained by cryo-electron microscopy. Analysis of microtubule images is facilitated if they are straight enough to interpret and filter their image Fourier transform, which provide useful information concerning the arrangement of tubulin molecules inside the microtubule lattice. Here, we describe the use of the TubuleJ software to straighten microtubules and determine their lattice parameters. Basic 3D reconstructions can be performed to evaluate the relevance of these parameters. This approach can be used to analyze the effects of nucleotide analogues, drugs or MAPs on microtubule structure, or to select microtubule images prior to high-resolution 3D reconstructions.

This protocol illustrates the modelling of a protein-peptide complex using the synergic combination of in silico analysis and experimental results. To this end, we use the integrative modelling software HADDOCK, which possesses the powerful ability to incorporate experimental data, such as NMR Chemical Shift Perturbations and biochemical protein-peptide interaction data, as restraints to guide the docking process. Based on the modelling results, a rational mutagenesis approach is used to validate the generated models. The experimental results allow to select a final structural model best representing the bona fide protein-peptide complex. The described protocol can also be applied to model protein-protein complexes. There is no size limit for the macromolecular complexes that can be characterized by HADDOCK as long as the 3D structures of the individual components are available.

Protein-ligand binding prediction is central to the drug-discovery process. This often follows an analysis of genomics data for protein targets and then protein structure discovery. However, the complexity of performing reproducible protein conformational analysis and ligand binding calculations, using vetted methods and protocols can be a challenge. Here we show how Biomolecular Reaction and Interaction Dynamics Global Environment (BRIDGE), an open-source web-based compute and analytics platform for computational chemistry developed based on the Galaxy bioinformatics platform, makes protocol sharing seamless following genomics and proteomics. BRIDGE makes available tools and workflows to carry out protein molecular dynamics simulations and accurate free energy computations of protein-ligand binding. We illustrate the dynamics and simulation protocols for predicting protein-ligand binding affinities in silico on the T4 lysozyme system. This protocol is suitable for both novice and experienced practitioners. We show that with BRIDGE, protocols can be shared with collaborators or made publicly available, thus making simulation results and computations independently verifiable and reproducible.