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Past Issue in 2025
Volume: 15, Issue: 5
Biochemistry
Tissue-Specific Profiling of O-GlcNAcylated Proteins in Drosophila Using TurboID-CpOGAM
Protein O-GlcNAcylation is a prevalent and dynamic post-translational modification that targets a multitude of nuclear and cytoplasmic proteins. Through the modification of diverse substrates, O-GlcNAcylation plays a pivotal role in essential cellular processes, including transcription, translation, and protein homeostasis. Dysregulation of O-GlcNAc homeostasis has been implicated in a variety of diseases, including cardiovascular diseases, cancer, and neurodegenerative diseases. Studying O-GlcNAcylated proteins in different tissues is crucial to understanding the pathogenesis of these diseases. However, identifying phenotype-relevant candidate substrates in a tissue-specific manner remains unfeasible. We developed a novel tool for the analysis of O-GlcNAcylated proteins, combining a catalytically inactive CpOGA mutant CpOGACD and TurboID proximity labeling technology. This tool converts O-GlcNAc modifications into biotin labeling, enabling the enrichment and mass spectrometry (MS) identification of O-GlcNAcylated proteins in specific tissues. Meanwhile, TurboID-CpOGADM, which carries two point mutations that inactivate both its catalytic and binding activities toward O-GlcNAc modification, was used as a control to differentiate O-GlcNAc-independent protein–protein interactions. We have successfully used TurboID-CpOGACD/DM (TurboID-CpOGAM) to enrich O-GlcNAc proteins in Drosophila combining the UAS/Gal4 system. Our protocol provides a comprehensive workflow for tissue-specific enrichment of candidate O-GlcNAcylated substrates and offers a valuable tool for dissecting tissue-specific O-GlcNAcylation functions in Drosophila.
Colorimetric Determination of Tungsten and Molybdenum in Biological Samples
Molybdenum (Mo) and tungsten (W) are elements that are utilized in biological systems. They are typically incorporated into the catalytic sites of enzymes coordinated to an organic pyranopterin cofactor; Mo may also be present in the form of a FeMo cofactor. While Mo is used by all branches of life, only a few microbes are able to utilize W. In order to study Mo- and W-dependent enzymes, it is important to be able to measure Mo and W in biological samples. Methods for determining Mo and W content in biological samples currently involve expensive and time-consuming processes like inductively coupled plasma mass spectrometry (ICP-MS) and chelation ion chromatography. There are less intensive colorimetric methods for measuring W in abiotic samples, but these have not been adapted to biological samples like cytosolic extracts and purified proteins. Herein, we developed a colorimetric assay based on the complexation of quercetin to molybdate (MoO42-) or tungstate (WO42-), the oxyanion forms of Mo and W that readily form in denatured biological samples. In the assay, the absorbance of quercetin is redshifted proportionally to the concentration of tungsten or molybdenum, which can be measured spectrophotometrically. This protocol provides a rapid method for screening biological samples for both Mo and W, although it does not distinguish between them.
Quantification of Total Free Radicals in Drosophila Using a Fluorescence-Based Biochemical Assay
Free radicals, including reactive oxygen species (ROS) and reactive nitrogen species (RNS), induce oxidative stress. This stress plays crucial roles in cellular signaling, stress response, and disease progression, making the quantification of free radicals essential for understanding oxidative stress mechanisms. Here, we present a high-throughput fluorescence-based protocol for measuring the presence of total free radicals, including ROS and RNS, in the whole adult Drosophila melanogaster (fruit fly). The protocol involves homogenizing whole adult flies in PBS and treating only the supernatant of the lysate with dichlorodihydrofluorescein-DiOxyQ (DCFH-DiOxyQ), which then converts into a fluorescent molecule, dichlorofluorescein (DCF), upon reacting with free radicals. The level of fluorescence is directly proportional to the amount of free radicals present in the sample. This protocol offers simplicity, scalability, and adaptability, making it ideal for studying oxidative stress in the model organism Drosophila and its different tissues under different dietary regimes, environmental stresses, genetic mutations, or pharmacological treatments. It is to be noted that the protocol uses a kit from Abcam, which has been used to measure free radicals in mice, rats, human blood, and cell lines. It can also be applied to biofluids, culture supernatants, and cell lysates, making it suitable for a wide range of sample types beyond whole organisms or tissues. However, due to our research focus and expertise, here we describe a detailed protocol to measure free radicals responsible for inducing oxidative stress only in fruit flies.
Bioinformatics and Computational Biology
Computational Cellular Mathematical Model Aids Understanding the cGAS-STING in NSCLC Pathogenicity
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. According to 2020 reports, globally, 2.2 million cases are reported every year, with the mortality number being as high as 1.8 million patients. To study NSCLC, systems biology offers mathematical modeling as a tool to understand complex pathways and provide insights into the identification of biomarkers and potential therapeutic targets, which aids precision therapy. Mathematical modeling, specifically ordinary differential equations (ODEs), is used to better understand the dynamics of cancer growth and immunological interactions in the tumor microenvironment. This study highlighted the dual role of the cyclic GMP-AMP synthase–stimulator of interferon genes (cGAS/STING) pathway's classical involvement in regulating type 1 interferon (IFN I) and pro-inflammatory responses to promote tumor regression through senescence and apoptosis. Alternative signaling was induced by nuclear factor kappa B (NF-κB), mutated tumor protein p53 (p53), and programmed death-ligand1 (PD-L1), which lead to tumor growth. We identified key regulators in cancer progression by simulating the model and validating it with the following model estimation parameters: local sensitivity analysis, principal component analysis, rate of flow of metabolites, and model reduction. Integration of multiple signaling axes revealed that cGAS-STING, phosphoinositide 3-kinases (PI3K), and Ak strain transforming (AKT) may be potential targets that can be validated for cancer therapy.
Annotated Bioinformatic Pipelines for Genome Assembly and Annotation of Mitochondrial Genomes
Mitochondrial genomes (mitogenomes) display relatively rapid mutation rates, low sequence recombination, high copy numbers, and maternal inheritance patterns, rendering them valuable blueprints for mapping lineages, uncovering historical migration patterns, understanding intraspecific population dynamics, and investigating how environmental pressures shape traits underpinned by genetic variation. Here, we present the bioinformatic pipeline and code used to assemble and annotate the complete mitogenomes of five houndsharks (Chondrichthyes: Triakidae) and compare them to the mitogenomes of other closely related species. We demonstrate the value of a combined assembly approach for detecting deviations in mitogenome structure and describe how to select an assembly approach that best suits the sequencing data. The datasets required to run our analyses are available on the GitHub and Dryad repositories.
Annotated Bioinformatic Pipelines for Phylogenomic Placement of Mitochondrial Genomes
The limited standards for the rigorous and objective use of mitochondrial genomes (mitogenomes) can lead to uncertainties regarding the phylogenetic relationships of taxa under varying evolutionary constraints. The mitogenome exhibits heterogeneity in base composition, and evolutionary rates may vary across different regions, which can cause empirical data to violate assumptions of the applied evolutionary models. Consequently, the unique evolutionary signatures of the dataset must be carefully evaluated before selecting an appropriate approach for phylogenomic inference. Here, we present the bioinformatic pipeline and code used to expand the mitogenome phylogeny of the order Carcharhiniformes (groundsharks), with a focus on houndsharks (Chondrichthyes: Triakidae). We present a rigorous approach for addressing difficult-to-resolve phylogenies, incorporating multi-species coalescent modelling (MSCM) to address gene/species tree discordance. The protocol describes carefully designed approaches for preparing alignments, partitioning datasets, assigning models of evolution, inferring phylogenies based on traditional site-homogenous concatenation approaches as well as under multispecies coalescent and site heterogenous models, and generating statistical data for comparison of different topological outcomes. The datasets required to run our analyses are available on GitHub and Dryad repositories.
Developmental Biology
Cardiac-Specific Gene Editing via an AAV9-Tnnt2-SaCas9-miR122TS Vector
The adeno-associated virus serotype 9 (AAV9)-delivered gene expression driven by the cardiac troponin T (Tnnt2) promoter is broadly considered to be cardiac-specific. However, in cases where low AAV expression is sufficient to trigger a profound biological effect in CRISPR/Cas9 gene editing, the ectopic AAV9-Tnnt2 expression and gene editing in the liver becomes non-negligible. MicroRNA122 is a microRNA that is specifically expressed in the liver. The incorporation of the microRNA122 target sequence (miR122TS) into the 3' untranslated region (UTR) of the AAV transgene could reduce ectopic gene expression in the liver. Here, we provide a protocol for sgRNA design, plasmid construction, AAV packaging, and in vivo validation of a new AAV9-Tnnt2-SaCas9-miR122TS vector using publicly available materials and tools. The application of this new vector enables cardiac-specific gene editing while circumventing leakages in the liver.
Immunology
Protocol for Screening Host-Targeting Antivirals (HTAs) Using Human PBMCs and pDCs
This protocol offers an ex vivo method for screening host-targeting antivirals (HTAs) using human peripheral blood mononuclear cells (PBMCs) or plasmacytoid dendritic cells (pDCs). Unlike virus-targeting antivirals (VTAs), HTAs provide advantages in overcoming drug resistance and offering broad-spectrum protection, especially against rapidly mutating or newly emerging viruses. By focusing on PBMCs or pDCs, known for their high production of humoral factors such as Type I interferons (IFNs), the protocol enables the screening of antivirals that modulate immune responses against viruses. Targeting host pathways, especially innate immunity, allows for species-independent antiviral activity, reducing the likelihood of viral escape mutations. Additionally, the protocol's versatility makes it a powerful tool for testing potential antivirals against various viral pathogens, including emerging viruses, positioning it as an essential resource in both pandemic preparedness and broad-spectrum antiviral research. This approach differentiates itself from existing protocols by focusing on host immune modulation through pDCs, offering a novel avenue for HTA discovery.
Microbiology
Microbial Biofilm Detection and Differentiation by Dual Staining Using Maneval’s Stain
Microbial biofilms are structured communities of microorganisms embedded in a self-produced extracellular matrix, adhering to surfaces. These biofilms enhance bacterial resistance to antibiotics, immune responses, and environmental stress. Current microscopy techniques, such as scanning electron microscopy (SEM), confocal laser scanning microscopy (CLSM), and fluorescence microscopy, are commonly used to visualize and differentiate biofilms. However, their high cost and complexity often render them impractical. In contrast, simpler methods like crystal violet and Congo red staining are limited in distinguishing bacterial cells from the biofilm matrix. This study introduces a cost-effective, dual-staining method using Maneval’s stain to visualize and differentiate microbial biofilms. It requires only basic equipment and minimal reagents, making it ideal for routine use in clinical diagnosis and microbial research.
Integrated Co-extraction Protocol for Transcriptomic and 1H NMR Metabolomic Analysis of Multi-species Biofilms
Capturing produced, consumed, or exchanged metabolites (metabolomics) and the result of gene expression (transcriptomics) require the extraction of metabolites and RNA. Multi-omics approaches and, notably, the combination of metabolomics and transcriptomic analyses are required for understanding the functional changes and adaptation of microorganisms to different physico-chemical and environmental conditions. A protocol was developed to extract total RNA and metabolites from less than 6 mg of a kind of phototrophic biofilm: oxygenic photogranules. These granules are aggregates of several hundred micrometers up to several millimeters. They harbor heterotrophic bacteria and phototrophs. After a common step for cell disruption by bead-beating, a part of the volume was recovered for RNA extraction, and the other half was used for the methanol- and dichloromethane-based extraction of metabolites. The solvents enabled the separation of two phases (aqueous and lipid) containing hydrophilic and lipophilic metabolites, respectively. The 1H nuclear magnetic resonance (NMR) analysis of these extracts produced spectra that contained over a hundred signals with a signal-to-noise ratio higher than 10. The quality of the spectra enabled the identification of dozens of metabolites per sample. Total RNA was purified using a commercially available kit, yielding sufficient concentration and quality for metatranscriptomic analysis. This novel method enables the co-extraction of RNA and metabolites from the same sample, as opposed to the parallel extraction from two samples. Using the same sample for both extractions is particularly advantageous when working with inherently heterogeneous complex biofilm. In heterogeneous systems, differences between samples may be substantial. The co-extraction will enable a holistic analysis of the metabolomics and metatranscriptomics data generated, minimizing experimental biases, including technical variations and, notably, biological variability. As a result, it will ensure more robust multi-omics analyses, particularly by improving the correlation between metabolic changes and transcript modifications.
Neuroscience
Puromycin Proximity Ligation Assay (Puro-PLA) to Assess Local Translation in Axons From Human Neurons
Local mRNA translation in axons is crucial for the maintenance of neuronal function and homeostasis, particularly in processes such as axon guidance and synaptic plasticity, due to the long distance from axon terminals to the soma. Recent studies have shown that RNA granules can hitchhike on the surface of motile lysosomal vesicles, facilitating their transport within the axon. Accordingly, disruption of lysosomal vesicle trafficking in the axon, achieved by knocking out the lysosome–kinesin adaptor BLOC-one-related complex (BORC), decreases the levels of a subset of mRNAs in the axon. This depletion impairs the local translation of mitochondrial and ribosomal proteins, leading to mitochondrial dysfunction and axonal degeneration. Various techniques have been developed to visualize translation in cells, including translating RNA imaging by coat protein knock-off (TRICK), SunTag, and metabolic labeling using the fluorescent non-canonical amino acid tagging (FUNCAT) systems. Here, we describe a sensitive technique to detect newly synthesized proteins at subcellular resolution, the puromycin proximity ligation assay (Puro-PLA). Puromycin, a tRNA analog, incorporates into nascent polypeptide chains and can be detected with an anti-puromycin antibody. Coupling this method with the proximity ligation assay (PLA) allows for precise visualization of newly synthesized target proteins. In this article, we describe a step-by-step protocol for performing Puro-PLA in human induced pluripotent stem cell (iPSC)-derived neuronal cultures (i3Neurons), offering a powerful tool to study local protein synthesis in the axon. This tool can also be applied to rodent neurons in primary culture, enabling the investigation of axonal protein synthesis across species and disease models.
Monitoring Changes in Intracellular Chloride Levels Using the FRET-Based SuperClomeleon Sensor in Organotypic Hippocampal Slices
The reduction in intracellular neuronal chloride concentration is a crucial event during neurodevelopment that shifts GABAergic signaling from depolarizing to hyperpolarizing. Alterations in chloride homeostasis are implicated in numerous neurodevelopmental disorders, including autism spectrum disorder (ASD). Recent advancements in biosensor technology allow the simultaneous determination of intracellular chloride concentration of multiple neurons. Here, we describe an optimized protocol for the use of the ratiometric chloride sensor SuperClomeleon (SClm) in organotypic hippocampal slices. We record chloride levels as fluorescence responses of the SClm sensor using two-photon microscopy. We discuss how the SClm sensor can be effectively delivered to specific cell types using virus-mediated transduction and describe the calibration procedure to determine the chloride concentration from SClm sensor responses.
Procedure for Reliable and Long-Lasting Ex Vivo Recordings of Sciatic Nerve Activity in Mice
Changes in neuronal conduction are common in disease states affecting peripheral nerves. These alterations can significantly impact nerve function and lead to sensorimotor disabilities. In vivo electromyography recording is a well-established electrophysiological method that has been used for decades to assess sensory and motor functions in the nervous system. Nerve studies are challenging to conduct in vivo in rodents, and the involvement of muscle activity makes it difficult to isolate and assess nerve function independently. This protocol provides a comprehensive guide for accurate ex vivo sciatic nerve dissection and handling from mice. It includes the creation of a three-compartment chamber and the establishment of electrophysiological protocols, which enable differential recordings and the analysis of compound action potentials from various nerve fibers. This setup allows researchers to study the specific effects of drugs and pathologies on nerves from a mechanistic perspective. The setup is a stand-alone apparatus that does not require the use of suction electrodes and the maintenance of negative pressure, which can affect the signal-to-noise ratio and recording stability.
Plant Science
Isolation and Biophysical Characterization of Extracellular Vesicles From Hairy Root Cultures
Extracellular vesicles (EVs) are membrane-bound, non-replicating particles released by virtually all types of cells. EVs concentrate and deliver a plethora of biomolecules driving very important biological functions, including intercellular communication not only between cells of the same organism but also across different kingdoms. Plant extracellular vesicles (PEVs) are a promising alternative to mammalian EVs in biomedical applications. Here, we present an optimized and reproducible protocol for isolating PEVs from the hairy root (HR) cultures of medicinal plants Salvia dominica and S. sclarea. Our methodological approach introduces a significant advancement in the standardization of HR-EVs purification processes from plant biotechnological platforms, paving the way for their broader application across various sectors, including agriculture, pharmaceuticals, and nutraceuticals.
An Activity-Based Proteomics with Two-Dimensional Polyacrylamide Gel Electrophoresis (2D-PAGE) for Identifying Target Proteases in Arabidopsis Apoplastic Fluid
Plant proteases participate in a wide variety of biological processes, including development, growth, and defense. To date, numerous proteases have been functionally identified through genetic studies. However, redundancy among certain proteases can obscure their roles, as single-gene loss-of-function mutants often exhibit no discernible phenotype, limiting identification through genetic approaches. Here, we describe an efficient system for the identification of target proteases that cleave specific substrates in the Arabidopsis apoplastic fluid. The method involves using Arabidopsis-submerged culture medium, which contains apoplastic proteases, followed by native two-dimensional electrophoresis. Gel fractionation and an in-gel peptide cleavage assay with a fluorescence-quenching peptide substrate are then used to detect specific proteolytic activity. The active fraction is then subjected to mass spectrometry–based proteomics to identify the protease of interest. This method allows for the efficient and comprehensive identification of proteases with specific substrate cleavage activities in the apoplast.
Stem Cell
Differentiation, Maintenance, and Contraction Profiling of Human Induced Pluripotent Stem Cell–Derived Cardiomyocytes
The development of patient-derived cardiac disease models has advanced rapidly due to the progress of human-induced pluripotent stem cell (hiPSC) technologies. Many protocols detail individual parts of the entire workflow, from handling hiPSCs and differentiating them into cardiomyocytes to live contraction imaging via widefield/phase-contrast and fluorescence microscopy. Here, we propose a streamlined protocol that guides users through hiPSC culture, differentiation, expansion, and functional imaging of hiPSC cardiomyocytes. First, hiPSC maintenance and handling procedures are outlined. Differentiation occurs over a two-week period, followed by selective expansion to increase the yield of hiPSC cardiomyocytes. Comprehensive characterization and quantification enable detailed contraction profiling of these cells. Designed to be low-cost, this protocol is suited for applications in drug discovery, screening, and clinical testing of patient-specific phenotypes. The addition of cardiomyocyte expansion and automated analysis distinguishes our protocol from current approaches.
Systems Biology
![Automated Sequential Derivatization for Gas Chromatography-[Orbitrap] Mass Spectrometry-based Metabolite Profiling of Human Blood-based Samples](https://en-cdn.bio-protocol.org/imageup/arcimg/20250107224024942.jpg?t=1760446079)
Automated Sequential Derivatization for Gas Chromatography-[Orbitrap] Mass Spectrometry-based Metabolite Profiling of Human Blood-based Samples
Many small molecules require derivatization to increase their volatility and to be amenable to gas chromatographic (GC) separation. Derivatization is usually time-consuming, and typical batch-wise procedures increase sample variability. Sequential automation of derivatization via robotic liquid handling enables the overlapping of sample preparation and analysis, maximizing time efficiency and minimizing variability. Herein, a protocol for the fully automated, two-stage derivatization of human blood–based samples in line with GC–[Orbitrap] mass spectrometry (MS)-based metabolomics is described. The protocol delivers a sample-to-sample runtime of 31 min, being suitable for better throughput routine metabolomic analysis.