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Downstream investigations included domain structure analysis, visualization of exon-intron patterns, chromosomal localization of START genes, and phylogenetic studies, followed by identification of cis-regulatory elements and gene regulatory network construction. Additionally, we have also highlighted various alternative tools and techniques that can be used to perform similar analyses, along with salient features.Protoplasts are a versatile and powerful cell-based system to study different plant processes in vivo, due to their ability to maintain cell identity and carry out reactions and metabolic processes similar to intact plants. In rice, despite numerous reports, difficulties are encountered in protoplast isolation and transfection. These include insufficient numbers of protoplasts isolated and inefficient transfection. Such difficulties limit the use of this simple yet useful technology. The need to use protoplasts is particularly important when similar experiments may not work in yeast or Pichia, due to differences in functionally essential protein post-translation modifications. In this chapter, we describe a rice protoplast isolation and transfection method.With a widely established use of quantitative real-time PCR (qRT-PCR) for gene expression analysis, reliable and stable expression of reference genes is often discussed. Suitable reference genes should show less variation of expression across the target samples and allow for error minimization by normalization of qRT-PCR data. ML792 supplier Therefore, selection of reliable reference genes is essential for accurate results and to support the conclusions drawn on expression levels of genes under study. In this chapter, we describe the workflow for selection and evaluation of reference genes in rice, including identification of candidate genes by using Genevestigator® and evaluation of expression stability using various algorithms. The ranking of the genes guides qRT-PCR performance and data analysis. This protocol used rice as an example but is not limited to rice, and could be applied to other species as well.Immunolocalization analysis is a principal tool to study protein expression and subcellular distribution in plant cells or tissues. In this chapter, we present the method of the preparation of lightly fixed fresh rice leaf tissue for immunolocalization analysis and detection of the protein of interest using fluorescent probes by fluorescent microscopy. This method especially does not need the process of embedding plant materials that saves time and prevents alterations of cellular compounds and structure during sample preparation. Using this method, the C4 rice project compared the expressions of the proteins of interest among C4 model plants, wild-type rice, and transgenic or mutant plants and successfully selected the transgenic plants with the correct location of each protein to create a C4 rice prototype.The success of single cell type-specific gene expression or functional study largely depends on the efficient isolation of high-quality RNA from them. Laser capture microdissection (LCM) is an efficient technique that allows accessing and dissecting out a specific individual cell or cell type from a microscopic heterogeneous tissue in a minimally disruptive way. Here, we describe an efficient and inexpensive LCM-based method for the extraction of RNAs with high yield and integrity from laser-microdissected mesophyll and bundle sheath cells of rice leaf. The integrity of isolated RNA is assessed with bioanalyzer analysis, and the presence of mRNA of a specific gene is validated through RT-PCR. This RNA could further be used for uncovering single cell type-specific gene expression signature using next-generation transcriptome sequence or through regular RT-PCR.As the interest in genetic resequencing increases, so does the need for effective mathematical, computational, and statistical approaches. One of the difficult problems in genome annotation is determination of precise positions of transcription start sites. In this paper, we present TransPrise-an efficient deep learning tool for predicting positions of eukaryotic transcription start sites. TransPrise offers significant improvement over existing promoter-prediction methods. To illustrate this, we compared predictions of TransPrise with the TSSPlant approach for well-annotated genome of Oryza sativa. Using a computer with a graphics processing unit, the run time of TransPrise is 250 min on a genome of 374 Mb long.We provide the full basis for the comparison and encourage users to freely access a set of our computational tools to facilitate and streamline their own analyses. The ready-to-use Docker image with all the necessary packages, models, and code as well as the source code of the TransPrise algorithm are available at http//compubioverne.group/ . The source code is ready to use and to be customized to predict TSS in any eukaryotic organism.Gene targeting (GT) is a technique that alter the structure of the specific genes at their original loci in the genome by homologous recombination (HR). It plays an important role in functional genomics because it enables precise modification of the endogenous genes into desired forms such as knockout, knock-in, introduction of point mutations, as well as generation of fusion genes. Also, site-directed mutagenesis by GT can also be applied as an excellent technique for molecular breeding and gene therapy, because it can directly reflect the knowledge acquired from functional genomics. In this section, we introduce well-established GT procedure in rice in combination with positive-negative-selection (PNS) strategy.Enabling precise gene integration is important for installing traits in the plants. One of the practical methods of achieving precise gene integration is by using the yeast FLP-FRT recombination system that is efficient in directing DNA integration into the "engineered" genomic sites. The critical parameters of this method include the use of the thermostable version of FLP protein and the promoter trap design to select site-specific integration clones. The resulting transgenic plants display stable expression that is transmitted to the progeny. Therefore, FLP-mediated site-specific integration method could be used for trait engineering in the crop plants or testing gene functions in the model plants.