Bio-protocol最新文献

Understanding protein-protein interactions is crucial for unravelling subcellular protein distribution, contributing to our understanding of cellular organisation. Moreover, interaction studies can reveal insights into the mechanisms that cover protein trafficking within cells. Although various techniques such as Förster resonance energy transfer (FRET), co-immunoprecipitation, and fluorescence microscopy are commonly employed to detect protein interactions, their limitations have led to more advanced techniques such as the in situ proximity ligation assay (PLA) for spatial co-localisation analysis. The PLA technique, specifically employed in fixed cells and tissues, utilises species-specific secondary PLA probes linked to DNA oligonucleotides. When proteins are within 40 nm of each other, the DNA oligonucleotides on the probes interact, facilitating circular DNA formation through ligation. Rolling-circle amplification then produces DNA circles linked to the PLA probe. Fluorescently labelled oligonucleotides hybridise to the circles, generating detectable signals for precise co-localisation analysis. We employed PLA to examine the co-localisation of dynein with the Kv7.4 channel protein in isolated vascular smooth muscle cells from rat mesenteric arteries. This method enabled us to investigate whether Kv7.4 channels interact with dynein, thereby providing evidence of their retrograde transport by the microtubule network. Our findings illustrate that PLA is a valuable tool for studying potential novel protein interactions with dynein, and the quantifiable approach offers insights into whether these interactions are changed in disease.

Candida glabrata is an opportunistic pathogen that may cause serious infections in an immunocompromised host. C. glabrata cell wall proteases directly interact with host cells and affect yeast virulence and host immune responses. This protocol describes methods to purify β-1,3-glucan-bonded cell wall proteases from C. glabrata. These cell wall proteases are detached from the cell wall glucan network by lyticase treatment, which hydrolyzes β-1,3-glucan bonds specifically without rupturing cells. The cell wall supernatant is further fractioned by centrifugal devices with cut-offs of 10 and 50 kDa, ion-exchange filtration (charge), and gel filtration (size exclusion). The enzymatic activity of C. glabrata proteases is verified with MDPF-gelatin zymography and the degradation of gelatin is visualized by loss of gelatin fluorescence. With this procedure, the enzymatic activities of the fractions are kept intact, differing from methods used in previous studies with trypsin digestion of the yeast cell wall. The protein bands may be eventually located from a parallel silver-stained gel and identified with LC-MS/MS spectrometry. The advantage of this methodology is that it allows further host protein degradation assays; the protocol is also suitable for studying other Candida yeast species. Key features • Uses basic materials and laboratory equipment, enabling low-cost studies. • Facilitates the selection and identification of proteases with certain molecular weights. • Enables further functional studies with host proteins, such as structural or immune response-related, or enzymes and candidate protease inhibitors (e.g., from natural substances). • This protocol has been optimized for C. glabrata but may be applied with modifications to other Candida species.

Estimating the time of most recent common ancestor (tMRCA) is important to trace the origin of pathogenic viruses. This analysis is based on the genetic diversity accumulated in a certain time period. There have been thousands of mutant sites occurring in the genomes of SARS-CoV-2 since the COVID-19 pandemic started; six highly linked mutation sites occurred early before the start of the pandemic and can be used to classify the genomes into three main haplotypes. Tracing the origin of those three haplotypes may help to understand the origin of SARS-CoV-2. In this article, we present a complete protocol for the classification of SARS-CoV-2 genomes and calculating tMRCA using Bayesian phylodynamic method. This protocol may also be used in the analysis of other viral genomes. Key features • Filtering and alignment of a massive number of viral genomes using custom scripts and ViralMSA. • Classification of genomes based on highly linked sites using custom scripts. • Phylodynamic analysis of viral genomes using Bayesian evolutionary analysis sampling trees (BEAST). • Visualization of posterior distribution of tMRCA using Tracer.v1.7.2. • Optimized for the SARS-CoV-2.

Proliferating cells need to cope with extensive cytoskeletal and nuclear remodeling as they prepare to divide. These events are tightly regulated by the nuclear translocation of the cyclin B1-CDK1 complex, that is partly dependent on nuclear tension. Standard experimental approaches do not allow the manipulation of forces acting on cells in a time-resolved manner. Here, we describe a protocol that enables dynamic mechanical manipulation of single cells with high spatial and temporal resolution and its application in the context of cell division. In addition, we also outline a method for the manipulation of substrate stiffness using polyacrylamide hydrogels. Finally, we describe a static cell confinement setup, which can be used to study the impact of prolonged mechanical stimulation in populations of cells. Key features • Protocol for microfabrication of confinement devices. • Single-cell dynamic confinement coupled with high-resolution microscopy. • Static cell confinement protocol that can be combined with super-resolution STED microscopy. • Analysis of the mechanical control of mitotic entry in a time-resolved manner.