Methods in molecular biology最新文献

The chlorophyll a fluorescence measurement method is used to determine the efficiency of the photosynthetic apparatus and to assess the physiological state of photosynthetic organisms. The measurement is simple, fast, and noninvasive. It is a precise tool to study photosynthesis response under stress conditions or to assess the impact of specific environmental factors on plants. Here we describe the usage of this method in environmental-controlled plant production systems differing in temperature or light source on the growth and development of common buckwheat.

Light is one of the main signals detected by plants that influence plant growth, development, and function. The light features that influence plants are the photoperiod, light intensity, and spectral composition. Manipulating light intensity and spectrum to obtain better plant growth and quality has become a popular research object in recent years. Here we describe the usage of the spectrometer Lighting Passport Pro to determine the impact of light intensity and share of individual waves in its spectrum in environment-controlled plant production systems on the growth, development, and soluble carbohydrate and phenolic synthesis of common buckwheat.

This chapter presents the squash chromosome preparation technique for Fagopyrum esculentum and F. tataricum, using the root tips as the source of the material. Using an optimized version of this method, the chromosomes are free of cytoplasmic debris and are spread evenly on the glass slide. What comes of it is the possibility to make observations of the chromosome number and structure at the metaphase stage. This technique's modified version allows micronuclei analysis in interphase cells of buckwheats.

Cancer is a common health problem with more than 90% of deaths due to metastases. Circulating tumor cells (CTCs) contain precursors that can initiate metastases. However, CTCs are rare, heterogeneous, and difficult to expand in culture. We have previously created CTC-derived cell lines from stage IV breast cancer patients. These CTC lines were used to establish single-cell CTC clones using flow cytometry cell sorting.

Double-stranded RNA (dsRNA) is the replicate intermediate of all RNA viruses, and is also recognized by their host cells as a virus-invading molecule signal. Analysis of the localization and dynamic of virus-induced dsRNA can reveal crucial information concerning the molecular mechanism of virus replication and host responses to viral infection. In this chapter, we provide an easy and efficient protocol called dsRNA binding-dependent fluorescence complementation (dRBFC) assay for labeling the dsRNAs in living plant cells using two different plant RNA viruses, namely potato virus X and turnip mosaic virus. Moreover, both YFP- and mRFP-based dRBFC plasmids are available for the flexibility of experiment design.

Mucins MUC5AC and MUC5B are large glycoproteins that play an essential role in the innate defense of epithelial surfaces and their quantitation in biological samples would be informative about the health status of the tissue/samples they are derived from. However, they are difficult to study and quantify with traditional methods such as ELISA and western blot, due to their size, heterogeneity, and high degree of glycosylation. We successfully implemented a stable isotope labeling mass spectrometry approach for absolute quantification of mucin macromolecules. Here, in detail, we describe this accurate and sensitive liquid chromatography and mass spectrometry (LC-MS) method applied for both MUC5AC and MUC5B quantification in diverse and complex biological samples.

O-Linked glycans potentially play a functional role in cellular recognition events. Recent structural analyses suggest that O-glycosylation can be a specific signal for a lectin receptor which recognizes both the O-glycan and the adjacent polypeptide region. Further, certain antibodies specifically bind to the O-glycosylated peptide. There is growing interest in the mechanism by which O-glycans on proteins are specifically recognized by lectins and antibodies. The recognition system may be common to many O-glycosylated proteins; however, there is limited 3D structural information on the dual recognition of glycan and protein. This chapter describes a solution NMR analysis of the interaction between MUC1 O-glycopeptide and anti-MUC1 antibody MY.1E12.

Cell-free transcription-translation (TXTL) enables achieving an ever-growing number of applications, ranging from the rapid characterization of DNA parts to the production of biologics. As TXTL systems gain in versatility and efficacy, larger DNAs can be expressed in vitro extending the scope of cell-free biomanufacturing to new territories. The demonstration that complex entities such as infectious bacteriophages can be synthesized from their genomes in TXTL reactions opens new opportunities, especially for biomedical applications. Over the last century, phages have been instrumental in the discovery of many ground-breaking biotechnologies including CRISPR. The primary function of phages is to infect bacteria. In that capacity, phages are considered an alternative approach to tackling current societal problems such as the rise of antibiotic-resistant microbes. TXTL provides alternative means to produce phages and with several advantages over in vivo synthesis methods. In this chapter, we describe the basic procedures to purify phage genomes, cell-free synthesize phages, and quantitate them using an all-E. coli TXTL system.

Terpenoids represent the most diverse class of natural products, with a broad spectrum of industrial relevance including applications in green solvents, flavors and fragrances, nutraceuticals, colorants, and therapeutics. They are typically challenging to extract from their natural sources, where they occur in small amounts and mixtures of related but unwanted byproducts. Formal chemical synthesis, where established, is reliant on petrochemistry. Hence, there is great interest in developing sustainable solutions to assemble biosynthetic pathways in engineered host organisms. Metabolic engineering for chemical production has largely focused on microbial hosts, yet plants offer a sustainable production platform. In addition to containing the precursor pathways that generate the terpenoid building blocks as well as the cell structures and compartments required, or tractable localization for the enzymes involved, plants may provide a low input system to produce these chemicals using carbon dioxide and sunlight only. There have been significant recent advancements in the discovery of pathways to terpenoids of interest as well as strategies to boost yields in host plants. While part of the phytochemical field is focusing on the discovery of biosynthetic pathways, this review will focus on advancements using the pathway toolbox and toward engineering plants for the production of terpenoids. We will highlight strategies currently used to produce target products, optimization of known pathways to improve yields, compartmentalization of pathways within cells, and genetic tools developed to facilitate complex engineering of biosynthetic pathways. These advancements in Synthetic Biology are bringing engineered plant systems closer to commercially relevant hosts for the bioproduction of terpenoids.

Metabolite biosensors, through which the intracellular metabolite concentrations could be converted to changes in gene expression, are widely used in a variety of applications according to the different output signals. However, it remains challenging to fine-tune the dose-response relationships of biosensors to meet the needs of various scenarios. On the other hand, the short read length of next-generation sequencing (NGS) has greatly limited the design capability of sequence libraries. To address these issues, we describe a DNA trackable assembly method, coupled with fluorescence-activated cell sorting and NGS (Sort-Seq), to achieve the characterization of dose-response curves in a massively parallel manner. As a proof of the concept, we constructed a malonyl-CoA biosensor library containing 5184 combinations with six levels of transcription factor dosage, four different operator positions, and 216 possible upstream enhancer sequence (UAS) designs in Saccharomyces cerevisiae BY4700. By using Sort-Seq and machine learning approach, we obtained comprehensive dose-response relationships of the combinatorial sequence space. Therefore, our pipeline provides a platform for the design, tuning, and profiling of biosensor response curves and shows great potential to facilitate the rational design of genetic circuits.