Methods in molecular biology最新文献

Calcium imaging is a powerful tool to explore communication in neural networks. The hypothalamus is the region of the brain that regulates functions such as reproduction, appetite, lactation, stress, or hydration. Understanding the orchestration of neural networks in this region is a fundamental question of neuroscience. Calcium imaging can be used and performed not only on dissociated cells and acute brain slices but also on living animals. To date, the ideal experimental setup to explore nutrient sensing in the hypothalamus is acute brain calcium imaging. The technique readily incorporates pharmacological tools, as it uses bath applications or patch puffing. The technique can also be coupled with electrophysiological recordings.Here is presented the technical protocol for calcium imaging on acute brain slices of mice hypothalami.

Endocannabinoids are lipid neurotransmitters that play an important part in human health. Recent methods have found that quantification of endocannabinoids in hair and saliva samples is possible using liquid chromatography paired with tandem mass spectrometry (LC-MS/MS). This chapter describes two simple sample preparation methods that can be used to prepare hair and saliva samples for analysis using LC-MS/MS. Our LC-MS/MS method can be applied to both hair and saliva samples and is sufficiently sensitive for endocannabinoid, as well as steroid hormone, quantification in both of these sample matrices. This chapter provides a comprehensive description of how this can be achieved and provides tips and tricks for troubleshooting problems users may experience.

Vaccine studies in psychoneuroimmunology (PNI) provide insight into biopsychosocial interactions and their role in infectious diseases. Methodologies to measure vaccine responses are therefore of critical importance for PNI researchers. In this chapter, traditional and modern immunoassays for the assessment of vaccine responses are discussed, highlighting how multiplex techniques provide researchers with greater capacity and opportunity for novel research relating to vaccine outcomes.

CRISPR-Cas tools have recently been adapted for cell lineage tracing during development. Combined with single-cell RNA sequencing, these methods enable scalable lineage tracing with single-cell resolution. Here, I describe, scGESTALTv2, which combines cumulative CRISPR-Cas9 editing of a lineage barcode array with transcriptional profiling via droplet-based single-cell RNA sequencing (scRNA-seq). The technique is applied in developing zebrafish brains to generate mutations in the barcode array during development. The recorded lineages along with cellular transcriptomes are then extracted via scRNA-seq to define cell relationships among thousands of profiled brain cells and dozens of cell types.

Precise allele replacement by homologous recombination (also known as "gene targeting" or "genome editing") allows scientists to engineer altered DNA sequences, insertions, or deletions at specific locations in the genome. Such reverse genetics provides powerful tools to elucidate the structure and function of regulatory DNA elements, genes, RNAs, and proteins within their natural, endogenous context. Here, we describe in detail the methodology for Targeted Forward Genetics (TFG), which supports population-scale, saturating screens of allele replacements spanning thousands of base pairs at a specific target locus in the genome. The overall approach and detailed protocols, developed for the fission yeast Schizosaccharomyces pombe, are extensible to other organisms in which gene targeting is feasible.

Oligo pools are array-synthesized, user-defined mixtures of single-stranded oligonucleotides that can be used as a source of synthetic DNA for library cloning. While currently offering the most affordable source of synthetic DNA, oligo pools also come with limitations such as a maximum synthesis length (approximately 350 bases), a higher error rate compared to alternative synthesis methods, and the presence of truncated molecules in the pool due to incomplete synthesis. Here, we provide users with a comprehensive protocol that details how oligo pools can be used in combination with Golden Gate cloning to create user-defined protein mutant libraries, as well as single-guide RNA libraries for CRISPR applications. Our methods are optimized to work within the Yeast Toolkit Golden Gate scheme, but are in principle compatible with any other Golden Gate-based modular cloning toolkit and extendable to other restriction enzyme-based cloning methods beyond Golden Gate. Our methods yield high-quality, affordable, in-house variant libraries.

Gene Doctoring is a genetic modification technique for E. coli and related bacteria, in which the Red-recombinase from bacteriophage λ mediates chromosomal integration of a fragment of DNA by homologous recombination (known as recombineering). In contrast to the traditional recombineering method, the integrated fragment for Gene Doctoring is supplied on a donor plasmid rather than as a linear DNA. This protects the DNA from degradation, facilitates transformation, and ensures multiple copies are present per cell, increasing the efficiency and making the technique particularly suitable for strains that are difficult to modify. Production of the donor plasmid has, until recently, relied on traditional cloning techniques that are inflexible, tedious, and inefficient. This protocol describes a procedure for Gene Doctoring combined with Golden Gate assembly of a donor plasmid, using a custom-designed plasmid backbone, for rapid and simple production of complex, multi-part assemblies. Insertion of a gene for superfolder green fluorescent protein, with selection by tetracycline resistance, into E. coli strain MG1655 is used as an example but in principle the method can be tailored for virtually any modification in a wide range of bacteria.

Golden Gate cloning enables the modular assembly of DNA parts into desired synthetic genetic constructs. The "one-pot" nature of Golden Gate reactions makes them particularly amenable to high-throughput automation, facilitating the generation of thousands of constructs in a massively parallel manner. One potential bottleneck in this process is the design of these constructs. There are multiple parameters that must be considered during the design of an assembly process, and the final design should also be checked and verified before implementation. Doing this by hand for large numbers of constructs is neither practical nor feasible and increases the likelihood of introducing potentially costly errors. In this chapter we describe a design workflow that utilizes bespoke computational tools to automate the key phases of the construct design process and perform sequence editing in batches.

Synthetic biology, also known as engineering biology, is an interdisciplinary field that applies engineering principles to biological systems. One way to engineer biological systems is by modifying their DNA. A common workflow involves creating new DNA parts through synthesis and then using them in combination with other parts through assembly. Assembly standards such as MoClo, Phytobricks, and Loop are based on Golden Gate, and provide a framework for combining parts. The Synthetic Biology Open Language (SBOL) has implemented a best practice for representing build plans to communicate them to other practitioners through whiteboard designs and in a machine-readable format for communication with lab automation tools. Here we present a software tool for creating SBOL representations of build plans to simulate type IIS-mediated assembly reactions and store relevant metadata.

Bio-Layer Interferometry (BLI) is a technique that uses optical biosensing to analyze interactions between molecules. The analysis of molecular interactions is measured in real-time and does not require fluorescent tags. BLI uses disposable biosensors that come in a variety of formats to bind different ligands including biotin, hexahistidine, GST, and the Fc portion of antibodies. Unlike surface plasmon resonance (SPR), BLI is an open system that does not require microfluidics, which eliminates issues that result from clogging and changes in viscosity. Importantly, BLI readings can be completed in minutes and can be formatted for high throughput screening. Here we use biotinylated short chain phosphoinositides and phosphatidic acid bound to streptavidin BLI biosensors to measure the binding of the soluble Qc SNARE Vam7 from Saccharomyces cerevisiae. Unlike most SNAREs, Vam7 lacks a transmembrane domain or lipid anchor to associate with membranes. Instead Vam7 associates to yeast vacuolar membranes using its N-terminal PX domain that binds to phosphatidylinositol 3-phosphate (PI3P) and phosphatidic acid (PA). Using full length Vam7, Vam7^Y42A, and PX domain alone, we determined and compared the dissociation constants (K_D) of each to biotinylated PI3P and PA biosensors.