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1.
Transcriptomics View over the Germination Landscape in Biofortified Rice.
Dueñas, CJ, Slamet-Loedin, I, Macovei, A
Genes. 2021;(12)
Abstract
Hidden hunger, or micronutrient deficiency, is a worldwide problem. Several approaches are employed to alleviate its effects (e.g., promoting diet diversity, use of dietary supplements, chemical fortification of processed food), and among these, biofortification is considered as one of the most cost-effective and highly sustainable. Rice is one of the best targets for biofortification since it is a staple food for almost half of the world's population as a high-energy source but with low nutritional value. Multiple biofortified rice lines have been produced during the past decades, while few studies also reported modifications in germination behavior (in terms of enhanced or decreased germination percentage or speed). It is important to underline that rapid, uniform germination, and seedling establishment are essential prerequisites for crop productivity. Combining the two traits, biofortified, highly-nutritious seeds with improved germination behavior can be envisaged as a highly-desired target for rice breeding. To this purpose, information gathered from transcriptomics studies can reveal useful insights to unveil the molecular players governing both traits. The present review aims to provide an overview of transcriptomics studies applied at the crossroad between biofortification and seed germination, pointing out potential candidates for trait pyramiding.
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2.
Integration of comprehensive data and biotechnological tools for industrial applications of Kluyveromyces marxianus.
Nurcholis, M, Lertwattanasakul, N, Rodrussamee, N, Kosaka, T, Murata, M, Yamada, M
Applied microbiology and biotechnology. 2020;(2):475-488
Abstract
Among the so-called non-conventional yeasts, Kluyveromyces marxianus has extremely potent traits that are suitable for industrial applications. Indeed, it has been used for the production of various enzymes, chemicals, and macromolecules in addition to utilization of cell biomass as nutritional materials, feed and probiotics. The yeast is expected to be an efficient ethanol producer with advantages over Saccharomyces cerevisiae in terms of high growth rate, thermotolerance and a wide sugar assimilation spectrum. Results of comprehensive analyses of its genome and transcriptome may accelerate studies for applications of the yeast and may further increase its potential by combination with recent biotechnological tools including the CRISPR/Cas9 system. We thus review published studies by merging with information obtained from comprehensive data including genomic and transcriptomic data, which would be useful for future applications of K. marxianus.
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3.
The role of long noncoding RNAs in atrial fibrillation.
Babapoor-Farrokhran, S, Gill, D, Rasekhi, RT
Heart rhythm. 2020;(6):1043-1049
Abstract
Atrial fibrillation (AF) is a common arrhythmia with serious clinical sequelae, yet little is known about its genetic origins. Recently, the untranscribed 98% of the human genome has been increasingly implicated in important processes such as cardiac organogenesis, physiology, and pathophysiology. Specifically, long noncoding RNAs (lncRNAs) have been shown to interact with the transcriptome in various ways that alter gene expression. Previously, multiple lncRNAs have been identified in disease processes such as heart failure, coronary artery disease, and diabetes. Multiple studies now show lncRNAs are involved in each fundamental mechanism leading to the development of AF, including structural remodeling, electrical remodeling, renin angiotensin system effects, and calcium handling abnormalities. The altered expression of lncRNAs offers genetic targets for the diagnosis and treatment of AF. This article discusses the role of lncRNAs in AF and its pathogenesis.
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4.
Transcriptomics: A powerful tool to evaluate the behavior of foodborne pathogens in the food production chain.
Lamas, A, Regal, P, Vázquez, B, Miranda, JM, Franco, CM, Cepeda, A
Food research international (Ottawa, Ont.). 2019;:108543
Abstract
In recent years, the development of high-throughput transcriptomic tools such as RNA-seq and microarrays have revolutionized biological scientific research. Despite these techniques being widely used in biomedical research, their introduction into the field of food microbiology is still limited. However, transcriptomic research is of great importance to fully understand the resistance mechanisms and metabolic pathways involved in foodborne pathogen survival from farm to fork. Throughout this review, the main transcriptomic techniques available are described and discussed. Then, the main studies where transcriptomics were used to evaluate survival of foodborne pathogens in the different conditions of the food production chain are evaluated. Particularly, studies focused on biofilm formation, the food matrix and its environment, heat treatments, acid resistance, biocides, and food preservatives were specially reviewed. The data obtained from these studies are of great importance to develop new control strategies in any point of the food production chain.
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5.
Application of Computational Biology to Decode Brain Transcriptomes.
Li, J, Wang, GZ
Genomics, proteomics & bioinformatics. 2019;(4):367-380
Abstract
The rapid development of high-throughput sequencing technologies has generated massive valuable brain transcriptome atlases, providing great opportunities for systematically investigating gene expression characteristics across various brain regions throughout a series of developmental stages. Recent studies have revealed that the transcriptional architecture is the key to interpreting the molecular mechanisms of brain complexity. However, our knowledge of brain transcriptional characteristics remains very limited. With the immense efforts to generate high-quality brain transcriptome atlases, new computational approaches to analyze these high-dimensional multivariate data are greatly needed. In this review, we summarize some public resources for brain transcriptome atlases and discuss the general computational pipelines that are commonly used in this field, which would aid in making new discoveries in brain development and disorders.
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6.
MicroRNAs and response to therapy in leukemia.
Sharifi, H, Jafari Najaf Abadi, MH, Razi, E, Mousavi, N, Morovati, H, Sarvizadeh, M, Taghizadeh, M
Journal of cellular biochemistry. 2019;(9):14233-14246
Abstract
A variety of epigenetic factors involved in leukemia pathogenesis. Among various epigenetic factors, microRNAs (miRNAs) have emerged as important players, which affect a sequence of cellular and molecular signaling pathways. Leukemia is known as progressive cancer, which is related to many health problems in the world. It has been shown that the destruction of the blood-forming organs could lead to abnormal effects on the proliferation and development of leukocytes and their precursors. Despite many attempts for approved effective and powerful therapies for patients with leukemia, finding and developing new therapeutic approaches are required. One of the important aspects of leukemia therapy, identification of underlying cellular and molecular mechanisms involved in the pathogenesis of leukemia. Several miRNAs (ie, miR-103, miR-101, mit-7, let-7i, miR-424, miR-27a, and miR-29c) and play major roles in response to therapy in patients with leukemia. miRNAs exert their effects by targeting a variety of targets, which are associated with response to therapy in patients with leukemia. It seems that more understanding about the roles of miRNAs in response to therapy in patients with leukemia could contribute to better treatment of patients with leukemia. Here, for the first time, we summarized various miRNAs, which are involved in response to therapy in the treatment patients with leukemia.
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7.
Experimental design for single-cell RNA sequencing.
Baran-Gale, J, Chandra, T, Kirschner, K
Briefings in functional genomics. 2018;(4):233-239
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Abstract
Single-cell RNA sequencing (scRNA-seq) has opened new avenues for the characterization of heterogeneity in a large variety of cellular systems. As this is a relatively new technique, the field is fast evolving. Here, we discuss general considerations in experimental design and the two most popular approaches, plate-based Smart-Seq2 and microdroplet-based scRNA-seq at the example of 10x Chromium. We discuss advantages and disadvantages of both methods and point out major factors to consider in designing successful experiments.
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8.
Comparative Genomics and Transcriptome Profiling in Primary Aldosteronism.
Aristizabal Prada, ET, Castellano, I, Sušnik, E, Yang, Y, Meyer, LS, Tetti, M, Beuschlein, F, Reincke, M, Williams, TA
International journal of molecular sciences. 2018;(4)
Abstract
Primary aldosteronism is the most common form of endocrine hypertension with a prevalence of 6% in the general population with hypertension. The genetic basis of the four familial forms of primary aldosteronism (familial hyperaldosteronism FH types I-IV) and the majority of sporadic unilateral aldosterone-producing adenomas has now been resolved. Familial forms of hyperaldosteronism are, however, rare. The sporadic forms of the disease prevail and these are usually caused by either a unilateral aldosterone-producing adenoma or bilateral adrenal hyperplasia. Aldosterone-producing adenomas frequently carry a causative somatic mutation in either of a number of genes with the KCNJ5 gene, encoding an inwardly rectifying potassium channel, a recurrent target harboring mutations at a prevalence of more than 40% worldwide. Other than genetic variations, gene expression profiling of aldosterone-producing adenomas has shed light on the genes and intracellular signalling pathways that may play a role in the pathogenesis and pathophysiology of these tumors.
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Microarray: gateway to unravel the mystery of abiotic stresses in plants.
Gul, A, Ahad, A, Akhtar, S, Ahmad, Z, Rashid, B, Husnain, T
Biotechnology letters. 2016;(4):527-43
Abstract
Environmental factors, such as drought, salinity, extreme temperature, ozone poisoning, metal toxicity etc., significantly affect crops. To study these factors and to design a possible remedy, biological experimental data concerning these crops requires the quantification of gene expression and comparative analyses at high throughput level. Development of microarrays is the platform to study the differential expression profiling of the targeted genes. This technology can be applied to gene expression studies, ranging from individual genes to whole genome level. It is now possible to perform the quantification of the differential expression of genes on a glass slide in a single experiment. This review documents recently published reports on the use of microarrays for the identification of genes in different plant species playing their role in different cellular networks under abiotic stresses. The regulation pattern of differentially-expressed genes, individually or in group form, may help us to study different pathways and functions at the cellular and molecular level. These studies can provide us with a lot of useful information to unravel the mystery of abiotic stresses in important crop plants.
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10.
Renaissance in phytomedicines: promising implications of NGS technologies.
Sharma, S, Shrivastava, N
Planta. 2016;(1):19-38
Abstract
Medicinal plant research is growing significantly in faith to discover new and more biologically compatible phytomedicines. Deposition of huge genome/trancriptome sequence data assisted by NGS technologies has revealed the new possibilities for producing upgraded bioactive molecules in medicinal plants. Growing interest of investors and consumers in the herbal drugs raises the need for extensive research to open the facts and details of every inch of life canvas of medicinal plants to produce improved quality of phytomedicines. As in agriculture crops, knowledge emergence from medicinal plant's genome/transcriptome, can be used to assure their amended quality and these improved varieties are then transported to the fields for cultivation. Genome studies generate huge sequence data which can be exploited further for obtaining information regarding genes/gene clusters involved in biosynthesis as well as regulation. This can be achieved rapidly at a very large scale with NGS platforms. Identification of new RNA molecules has become possible, which can lead to the discovery of novel compounds. Sequence information can be combined with advanced phytochemical and bioinformatics tools to discover functional herbal drugs. Qualitative and quantitative analysis of small RNA species put a light on the regulatory aspect of biosynthetic pathways for phytomedicines. Inter or intra genomic as well as transcriptomic interactive processes for biosynthetic pathways can be elucidated in depth. Quality management of herbal material will also become rapid and high throughput. Enrichment of sequence information will be used to engineer the plants to get more efficient phytopharmaceuticals. The present review comprises of role of NGS technologies to boost genomic studies of pharmaceutically important plants and further, applications of sequence information aiming to produce enriched phytomedicines. Emerging knowledge from the medicinal plants genome/transcriptome can give birth to deep understanding of the processes responsible for biosynthesis of medicinally important compounds.