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| dna vs rna venn diagram: Plants, Stress & Proteins Dipanjana Ghosh, Qingsong Lin, Jian Xu, Hanjo A. Hellmann, 2017-09-08 Biotic and abiotic stress factors deliver a huge impact on plant life. Biotic stress factors such as damage through pathogens or herbivore attack, as well as abiotic stress factors like variation in temperature, rainfall and salinity, have placed the plant kingdom under constant challenges for survival. As a consequence, global agricultural and horticultural productivity has been disturbed to a large extent. Being sessile in nature, plants cannot escape from the stress, and instead adapt changes within their system to overcome the adverse conditions. These changes include physiological, developmental and biochemical alterations within the plant body which influences the genome, proteome and metabolome profiles of the plant. Since proteins are the ultimate players of cellular behavior, proteome level alterations during and recovery period of stress provide direct implications of plant responses towards stress factors. With current advancement of modern high-throughput technologies, much research has been carried out in this field. This e-book highlights the research and review articles that cover proteome level changes during the course or recovery period of various stress factors in plant life. Overall, the chapters in this e-book has provided a wealth of information on how plants deal with stress from a proteomics perspective. |
| dna vs rna venn diagram: DNA Methylation Dynamics and Human Diseases Li Tan, Jiemin Wong, Peter Adams, Chunjie Jiang, Hao Chen, 2022-07-18 |
| dna vs rna venn diagram: Traditional and Up-to-date Genomic Insights into Domestic Animal Diversity Johann Sölkner, Michael N. Romanov, Natalia A. Zinovieva, Steffen Weigend, Klaus Wimmers, 2023-02-01 |
| dna vs rna venn diagram: Cell and Molecular Biology of Breast Cancer Heide Schatten, 2013-09-27 Highlighting recent advances in our understanding of breast cancer, this book is intended for a wide audience as a reference book. Included are reviews of genetics, epigenetics, various aspects of cell and molecular biology, and several other areas of breast cancer that are aimed at determining new intervention sites for treatments and cures of the disease. The chapters are written by internationally recognized experts and include reviews of key topics in breast cancer research. Each chapter highlights the new aspects of specific research topics and the various impacts of designing new strategies as well as identifies new targets for therapeutic intervention. The topics addressed are selected to be of interest to patients, scientists, students, teachers, and anyone else interested in expanding their knowledge of breast cancer imaging, diagnostics, therapeutics, or basic biomedical research on breast cancer. |
| dna vs rna venn diagram: Genetics and Molecular Mechanisms of Oral and Esophageal Squamous Cell Carcinoma Bin Qiao, Di Wu, Die Wang, 2022-03-04 |
| dna vs rna venn diagram: Non-coding RNA and coronary artery disease En-Zhi Jia, Laiyuan Wang, Xiangming Ding, BuChun Zhang, 2023-04-18 |
| dna vs rna venn diagram: RNA at a breaking point? cytoplasmic cleavage and other post-transcriptional RNA processing in neurodevelopment and disease Catia Andreassi, Monika Piwecka, Raphaëlle Luisier, 2023-06-29 |
| dna vs rna venn diagram: Modeling for Prediction of Radiation-Induced Toxicity to Improve Therapeutic Ratio in the Modern Radiation Therapy Era Ester Orlandi, Tiziana Rancati, Giuseppe Sanguineti, Claudio Fiorino, Riccardo Valdagni, 2021-07-27 |
| dna vs rna venn diagram: Exploring the Impact of Genetics on New Drugs and Potential Drug Targets: A Multi-Omics Approach to Improve Personalized Therapeutics. Shaoqiu Chen , Jian Gao, 2024-07-08 In recent years, significant advancements have been made in the field of new drug development. With the advent of high-throughput sequencing technologies, the identification of new drug targets has become more efficient and precise. In addition, multi-omics approaches, including genomics, transcriptomics, proteomics, and metabolomics, have emerged as a powerful tool for understanding the complexity of diseases and identifying new therapeutic targets. |
| dna vs rna venn diagram: Improvement for Quality and Safety Traits in Horticultural Plants Pei Xu, Xinchao Wang, Ferdinando Branca, 2022-06-23 |
| dna vs rna venn diagram: Bioinformatics of Genome Regulation, Volume I, 2nd Edition Yuriy L. Orlov, Ancha Baranova, Tatiana V. Tatarinova, Publisher’s note: In this 2nd edition, the following article has been updated: Orlov YL, Tatarinova TV, Oparina NY, Galieva ER and Baranova AV (2021) Editorial: Bioinformatics of Genome Regulation, Volume I. Front. Genet. 12:803273. doi: 10.3389/fgene.2021.803273 |
| dna vs rna venn diagram: Characterizing Modern Microbialites and The Geobiological Processes Underlying Their Formation Jamie S. Foster, Pieter T. Visscher, Ruth Pamela Reid, Christophe Dupraz, 2019-12-23 |
| dna vs rna venn diagram: Multi-omics and computational biology in horticultural plants: From genotype to phenotype Yunpeng Cao, Hui Song, Liangsheng Zhang, Suvendu Mondal, 2023-02-28 |
| dna vs rna venn diagram: Reviews and Protocols in DT40 Research Jean-Marie Buerstedde, Shunichi Takeda, 2006-10-21 The vertebrate genome DT40 has proven to be a reliable and robust research subject, with fast doubling time, easy clonability and a relatively stable karyotype. This book provides an up to date overview of the different facets of research, and also intends to help newcomers get started and avoid looming pitfalls. The collection of protocols which have been provided by a number of laboratories will be particularly useful in this regard. |
| dna vs rna venn diagram: International Plant Proteomics Organization (INPPO) World Congress 2014 Joshua L. Heazlewood, Jesús V. Jorrín-Novo, Ganesh Kumar Agrawal, Silvia Mazzuca, Sabine Lüthje, 2017-02-08 The field of proteomics has advanced considerably over the past two decades. The ability to delve deeper into an organism’s proteome, identify an array of post-translational modifications and profile differentially abundant proteins has greatly expanded the utilization of proteomics. Improvements to instrumentation in conjunction with the development of these reproducible workflows have driven the adoption and application of this technology by a wider research community. However, the full potential of proteomics is far from being fully exploited in plant biology and its translational application needs to be further developed. In 2011, a group of plant proteomic researchers established the International Plant Proteomics Organization (INPPO) to advance the utilization of this technology in plants as well as to create a way for plant proteomics researchers to interact, collaborate and exchange ideas. The INPPO conducted its inaugural world congress in mid 2014 at the University of Hamburg (Germany). Plant proteomic researchers from around the world were in attendance and the event marked the maturation of this research community. The Research Topic captures the opinions, ideas and research discussed at the congress and encapsulates the approaches that were being applied in plant proteomics. |
| dna vs rna venn diagram: Multi-omics and Computational Biology in Horticultural Plants: From Genotype to Phenotype, Volume II Yunpeng Cao, Hui Song, Muhammad Abdullah, Xiaoxu Li, Muhammad Aamir Manzoor, 2024-02-13 This Research Topic is part of the article collection series - Multi-omics and Computational Biology in Horticultural Plants: From Genotype to Phenotype. Horticultural plants play an important role for humans by providing herbal medicines, beverages, vegetables, fruits, and ornamentals. High-throughput technologies have revolutionised the time scale and power of detecting insights into physiological changes and biological mechanisms in plants. All sequencing data and tools have helped us better understand the evolutionary histories of horticultural plants and provide genotype and phenotype resources for molecular studies on economically important traits. The integration of these -omics technologies (e.g., genomics, transcriptomics, proteomics, metabolomics, lipidomics, ionomics, and redoxomics) is currently at the forefront of plant research. The genomes of horticultural plants are highly diverse and complex, often with a high degree of heterozygosity and polyploidy. Novel computational methods need to be developed to take advantage of state-of-the-art genomic technologies. As a result, the mining of multi-omics data and the development of new computational biology approaches for the reliable and efficient analysis of plant traits is necessary. |
| dna vs rna venn diagram: Investigating the Elements of Plant Defense Mechanisms Within Plant Immune Responses Against Pathogens Katarzyna Otulak-Kozieł, Edmund Kozieł , Jozef Julian Bujarski, 2024-11-11 Biotic stress can increase or reduce a plant's susceptibility to specific pathogens. A wide range of plant pathogens, i.e., viruses, bacteria, and fungi causing diseases, modulate different elements of plant defense mechanisms responses that influence disease and the physiological state of host plants. Nevertheless, plant hosts are not static and defenseless. Plants have developed active and dynamic complex defense mechanisms to protect themselves against different pathogenic stressors. Plants' defense mechanisms consist of multi-elements and can be determined by pre-formed, natural barriers or inducible defense responses directly activated upon detection of a pathogen. The inducible response is defined as ‘basal resistance’ or ‘innate immunity’ and is regulated by signal transduction and transcriptional networks. Moreover, plant responses to pathogens are finely tuned and complex at the immune receptor, cellular, proteome, epigenetic, and transcriptome levels. We can tell that a sophisticated molecular ‘arms race’ is taking place in the biological co-evolution of plant-pathogen interactions especially in developing novel elements involved in this interaction. Therefore, a comprehensive understanding of the broad spectrum and underlying elements of defense mechanisms in the interactions between plants and their pathogenic enemies will improve plant resistance to pathogens. |
| dna vs rna venn diagram: Non-Coding RNAs and Human Diseases Yujing Li, Ge Shan, Zhao-Qian Teng, Thomas S. Wingo, 2020-07-08 |
| dna vs rna venn diagram: The Role of Steroid Hormones and Growth Factors in Cancer Marzia Di Donato, Paul J. Higgins, Isabel R. Schlaepfer, Gustavo Cernera, 2022-08-25 |
| dna vs rna venn diagram: Neovascularization, Angiogenesis and Vasculogenic Mimicry in Cancer César López-Camarillo, Laurence A. Marchat, Naureen Starling, Erika Ruiz-Garcia, 2020-08-21 This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact. |
| dna vs rna venn diagram: Mollusk Breeding and Genetic Improvement Yuehuan Zhang, Liqiang Zhao, Julian Ransangan, Zhongming Huo, Weiwei You, 2022-10-05 |
| dna vs rna venn diagram: The Tobacco Plant Genome Nikolai V. Ivanov, Nicolas Sierro, Manuel C. Peitsch, 2020-03-16 This book describes the history of tobacco genomics, from its “discovery” by Europeans to next-generation omics approaches in plant science. The authors primarily focus on the allotetraploid common tobacco plant (N. tabacum); however, separate chapters are dedicated to closely related Nicotiana species, such as N. benthamiana and N. attenuata, for which substantial progress in omics data analysis has been already achieved. While genetic maps, transcriptomes, and physical maps of BAC libraries have significantly enhanced our understanding of the tobacco plant, the genome of tobacco and related Nicotiana species has opened a new era in modern tobacco research. This book addresses current and future industrial and research applications as well as central challenges in tobacco science, including diseases, low variability of cultivars, the genome’s large size, polyploidy, and gene duplication. |
| dna vs rna venn diagram: Recent Advances in Big Data, Machine, and Deep Learning for Precision Agriculture Muhammad Fazal Ijaz, Marcin Wozniak, 2024-02-19 |
| dna vs rna venn diagram: Post-Transcriptional Regulation of Immune Responses Manuel Daniel Díaz-Muñoz, Osamu Takeuchi, Simon Fillatreau, 2022-11-17 |
| dna vs rna venn diagram: Head and Neck Cancer: New Insights for the Healthcare Professional: 2013 Edition , 2013-07-22 Head and Neck Cancer: New Insights for the Healthcare Professional: 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Diagnosis and Screening. The editors have built Head and Neck Cancer: New Insights for the Healthcare Professional: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Diagnosis and Screening in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Head and Neck Cancer: New Insights for the Healthcare Professional: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/. |
| dna vs rna venn diagram: Transcriptional and Epigenetic Landscapes of Abiotic Stress Response in Plants Aamir W. Khan, Yezhang Ding , Mehanathan Muthamilarasan, 2025-01-31 The scientific community is currently focusing on climate resilience to ensure food and nutritional security. Understanding the molecular mechanisms underlying stress response is the key to tweaking the key regulators for enhancing this trait. Climate resilience is a dynamic process controlled by transcriptional and epigenetic regulators. Therefore, it is imperative to study transcriptional changes and epigenetic modifications regulating stress responses and manipulate candidate genes/alleles/QTLs/mQTLs to achieve biotic and abiotic stress resilience. To recognize the full landscape of variations driving these phenotypic changes, multi-omics approaches must be used to understand these factors, along with genetic variations. To feed the ever-growing population and tackle the uncertainties in environmental changes, deploying genomics and sequencing is a viable solution. Plant cells must modify their chromatin states and adjust their transcriptional profile to respond better to environmental stimuli. These chromatin modifications include DNA methylation, histone variants, post-transcriptional histone modifications, and variations in non-coding RNA activities. Exploring transcriptional dynamics and epigenetic changes simultaneously with the natural variations present in the population/sub-population is necessary. This will provide us with a full picture of different mechanisms driving the phenotypic changes and will help in developing better resilient varieties by utilizing this multi-omics-driven knowledge. |
| dna vs rna venn diagram: Novel Biomarkers and Big Data-Based Biomedical Studies in Cancer Diagnosis and Management Lin Zhang , Qingyu Luo, 2025-06-05 Cancer is a multifaceted disease that can elude the natural defense mechanisms of the immune system. Due to the heterogeneity and complexity of cancer, the technical methods used for pre-treatment evaluation, prediction of treatment efficacy, and prognosis analysis still require further research. Immunotherapy has shown immense potential in the treatment of numerous types of cancer. Cancer immunotherapy aims to eliminate malignant cells based on their antigen composition and tumor-associated antigens. PD-1 and PD-L1 are crucial targets for cancer immunotherapy. Although various inflammatory factors and immune markers have been identified to aid in selecting appropriate treatment (chemotherapy or immunotherapy), monitoring treatment efficacy, and predicting prognosis, the combination of different markers in predictive models performs better than a single marker in enhancing the accuracy of treatment efficacy and clinical judgments. In the context of precise cancer treatment, novel diagnoses, predictive factors, and predictive models are essential for better comprehension of cancer treatment and prognosis. The amalgamation of big data and artificial intelligence has been widely utilized in various cancer fields, including basic cancer research, particularly in molecular biological mechanisms, metabolic reprogramming, tumor biology, and clinical transformation research (such as cancer prediction, early diagnosis methods, and development of new treatment methods). The systematic and objective data provided by big data and artificial intelligence can guide diagnosis, optimize clinical treatment decisions, and have a far-reaching impact on clinical transformation. This research topic aims to explore novel biomarkers and predictive models that predict prognosis, treatment efficacy, and toxic side effects in cancer patients. We welcome submissions including, but not limited to: (1) Clinical research investigating novel biomarkers and their comprehensive predictive models for cancer treatment (including chemotherapy, radiation therapy, targeted therapy, and immunotherapy) and prognosis. (2) Original research investigating inflammatory and immune factors associated with various types of cancer, particularly breast and gastrointestinal cancer. (3) Reviews and meta-analyses of effective biomarkers and predictive models in cancer treatment and prognosis. (4) Cancer-related basic research and clinical transformation research based on big data and artificial intelligence. (5) Accurate detection and diagnosis of early cancer, intelligent prediction models of neoadjuvant treatment, and targeted treatment response of cancer. |
| dna vs rna venn diagram: Reproductive Genomics Xi Wang, Mengcheng Luo, Yan Yun, Wenjie Shi, 2022-09-27 |
| dna vs rna venn diagram: The Routledge Companion to Biology in Art and Architecture Charissa Terranova, Meredith Tromble, 2016-08-12 The Routledge Companion to Biology in Art and Architecture collects thirty essays from a transdisciplinary array of experts on biology in art and architecture. The book presents a diversity of hybrid art-and-science thinking, revealing how science and culture are interwoven. The book situates bioart and bioarchitecture within an expanded field of biology in art, architecture, and design. It proposes an emergent field of biocreativity and outlines its historical and theoretical foundations from the perspective of artists, architects, designers, scientists, historians, and theoreticians. Includes over 150 black and white images. |
| dna vs rna venn diagram: Shaping of Human Immune System and Metabolic Processes by Viruses and Microorganisms Marina I. Arleevskaya, Rustam Aminov, Wesley H. Brooks, Gayane Manukyan, Yves Renaudineau, 2019-08-15 Recent advances in the understanding of microbiota in health and diseases are presented in this special issue of Frontiers in Immunology and Frontiers in Microbiology as well as their impact on the immune system that can lead to the development of pathologies. Potential perspectives and biomarkers are also addressed. We offer this Research Topic involving 64 articles and 501 authors to discuss recent advances regarding: 1. An overview of the human microbiota and its capacity to interact with the human immune system and metabolic processes, 2. New developments in understanding the immune system’s strategies to respond to infections and escape strategies used by pathogens to counteract such responses, 3. The link between the microbiota and pathology in terms of autoimmunity, allergy, cancers and other diseases. |
| dna vs rna venn diagram: Multidisciplinary Approaches in Exploring Cancer Heterogeneity, TME and Therapy Resistance: Perspectives for Systems Medicine Brigitte M. Pützer, Kanaga Sabapathy, Julio Vera González, 2022-03-07 |
| dna vs rna venn diagram: Novel insights into the pathophysiology of diabetesrelated complications: implications for improved therapeutic strategies, volume II Jian Ma, Chunjie Jiang, Xuebin Fu, 2025-04-30 Given that Volume I of the topic Novel Insights into the Pathophysiology of Diabetes-related Complications: Implications for Improved Therapeutic Strategies has been successfully performed last year, and we have received submissions talking about diabetic retinopathy (DR), diabetic neuropathy (DN), type 2 diabetes mellitus (T2DM)-associated periodontitis, diabetic oxidative liver damage, diabetic-related wound healing, etc. We are pleased to announce the launch of Volume II. Diabetes mellitus (DM), as a major health problem, has been highly prevalent across the globe. It is increasingly apparent that not only a cure for the current worldwide diabetes epidemic is required, but also a cure for its major complications, including heart disease, chronic kidney disease, and nerve damage. In addition, other problems with feet, oral health, vision, hearing, reproduction, and mental health need to be explored as well. Understanding the underlying mechanisms of these diabetic complications would be helpful to prevent or delay the occurrence of complications and to improve the overall health condition of people with DM. Unfortunately, current therapies only slow down disease deterioration of most prevalent diabetic complications. Indeed, whether the mechanisms in diabetic complications are protective or pathological remains not fully defined, based on the impacts during the underlying disease process. Thus, we welcome academic articles that can provide the latest insights into the pathophysiology of diabetes-related complications. These submissions range from uncovering the intracellular signaling pathways with the development of diabetic complications, to exploring the possible role of genetic issues, metabolic regulation, and inflammation mechanisms. We welcome high-quality Original Research and Review articles that contribute to the mechanism investigation of a range of diabetic complications, including but not limited to: • Microvascular damage-related diseases in diabetic patients, such as neuropathy, nephropathy, and retinopathy; • Foot damage and skin problems in diabetes; • Reproductive disorder in diabetic women; • The relationship between diabetes and the development of Alzheimer's disease, depression, and cognitive impairment. In this continued Volume II, we are looking forward to seeing many more academic articles on DM-related heart disease, a reproductive disorder in diabetic women or the relationship between diabetes and the development of Alzheimer’s disease, etc. Also, Methods articles that introduce novel experimental methods or animal models that contribute to understanding the formation and progress of diabetic complications are continually welcome. Opinions or Perspectives regarding the implications of new research on the treatment of diabetic complications are encouraged too. |
| dna vs rna venn diagram: Use of Barley and Wheat Reference Sequences: Downstream Applications in Breeding, Gene Isolation, GWAS and Evolution Dragan Perovic, Hikmet Budak, Kazuhiro Sato, Pierre Sourdille, 2020-08-27 This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact. |
| dna vs rna venn diagram: Salt tolerance: Molecular and physiological mechanisms and breeding applications, volume II Loredana F. Ciarmiello, Pasqualina Woodrow, 2023-01-27 |
| dna vs rna venn diagram: CSIR NET Life Science Exam 2024 (English Edition) - 17 Solved Practice Tests (8 Mock Tests, 6 Sectional Tests and 3 Previous Year Papers) with Free Access to Online Tests EduGorilla Prep Experts, 2024-06-27 • Best Selling Book in English Edition for CSIR NET Life Science Exam with objective-type questions as per the latest syllabus given by the CSIR. • CSIR NET Life Science Exam Preparation Kit comes with 17 Practice Tests (8 Mock Tests + 6 Sectional Tests + 3 Previous Year Papers) with the best quality content. • Increase your chances of selection by 16X. • CSIR NET Life Science Exam Prep Kit comes with well-structured and 100% detailed solutions for all the questions. • Clear exam with good grades using thoroughly Researched Content by experts. |
| dna vs rna venn diagram: Editors' Showcase 2022: Insights in Molecular and Cellular Reproduction Rafael A. Fissore, Shao-Chen Sun, 2023-12-01 |
| dna vs rna venn diagram: Nutrigenetics Dolores Corella, 2018-07-10 This book is a printed edition of the Special Issue Nutrigenetics that was published in Nutrients |
| dna vs rna venn diagram: Molecules of the Extracellular Matrix as Cancer Targets Nikos Karamanos, Martin Götte, Alberto Passi, 2022-11-14 |
| dna vs rna venn diagram: Interactions Between Diets, Gut Microbiota and Host Metabolism Jie Yin, Liwei Xie, Yuheng Luo, Helieh S. Oz, 2020-09-11 This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact. |
| dna vs rna venn diagram: Application in Evolutionary Novelties and Diversities: Medicine, Agriculture, and Conservation Shengqian Xia, Yue Yaojing, Nikica Šprem, Jianhai Chen, Yongjie Wu, |
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