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Zeitschriftenartikel zum Thema "Translation regulatory network"

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Pérez-Morales, Deyanira, Jessica Nava-Galeana, Roberto Rosales-Reyes, et al. "An incoherent feedforward loop formed by SirA/BarA, HilE and HilD is involved in controlling the growth cost of virulence factor expression by Salmonella Typhimurium." PLOS Pathogens 17, no. 5 (2021): e1009630. http://dx.doi.org/10.1371/journal.ppat.1009630.

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An intricate regulatory network controls the expression of Salmonella virulence genes. The transcriptional regulator HilD plays a central role in this network by controlling the expression of tens of genes mainly required for intestinal colonization. Accordingly, the expression/activity of HilD is highly regulated by multiple factors, such as the SirA/BarA two-component system and the Hcp-like protein HilE. SirA/BarA positively regulates translation of hilD mRNA through a regulatory cascade involving the small RNAs CsrB and CsrC, and the RNA-binding protein CsrA, whereas HilE inhibits HilD act
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Barbuti, Roberto, Pasquale Bove, Roberta Gori, Damas Gruska, Francesca Levi, and Paolo Milazzo. "Encoding Threshold Boolean Networks into Reaction Systems for the Analysis of Gene Regulatory Networks." Fundamenta Informaticae 179, no. 2 (2021): 205–25. http://dx.doi.org/10.3233/fi-2021-2021.

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Gene regulatory networks represent the interactions among genes regulating the activation of specific cell functionalities and they have been successfully modeled using threshold Boolean networks. In this paper we propose a systematic translation of threshold Boolean networks into reaction systems. Our translation produces a non redundant set of rules with a minimal number of objects. This translation allows us to simulate the behavior of a Boolean network simply by executing the (closed) reaction system we obtain. This can be very useful for investigating the role of different genes simply by
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Kalous, Jaroslav, and Daria Aleshkina. "Multiple Roles of PLK1 in Mitosis and Meiosis." Cells 12, no. 1 (2023): 187. http://dx.doi.org/10.3390/cells12010187.

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Cells are equipped with a diverse network of signaling and regulatory proteins that function as cell cycle regulators and checkpoint proteins to ensure the proper progression of cell division. A key regulator of cell division is polo-like kinase 1 (PLK1), a member of the serine/threonine kinase family that plays an important role in regulating the mitotic and meiotic cell cycle. The phosphorylation of specific substrates mediated by PLK1 controls nuclear envelope breakdown (NEBD), centrosome maturation, proper spindle assembly, chromosome segregation, and cytokinesis. In mammalian oogenesis, P
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Chang, Lynne, Yaron Shav-Tal, Tatjana Trcek, Robert H. Singer, and Robert D. Goldman. "Assembling an intermediate filament network by dynamic cotranslation." Journal of Cell Biology 172, no. 5 (2006): 747–58. http://dx.doi.org/10.1083/jcb.200511033.

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We have been able to observe the dynamic interactions between a specific messenger RNA (mRNA) and its protein product in vivo by studying the synthesis and assembly of peripherin intermediate filaments (IFs). The results show that peripherin mRNA-containing particles (messenger ribonucleoproteins [mRNPs]) move mainly along microtubules (MT). These mRNPs are translationally silent, initiating translation when they cease moving. Many peripherin mRNPs contain multiple mRNAs, possibly amplifying the total amount of protein synthesized within these “translation factories.” This mRNA clustering is d
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Goldenkova-Pavlova, Irina, Olga Pavlenko, Orkhan Mustafaev, Igor Deyneko, Ksenya Kabardaeva, and Alexander Tyurin. "Computational and Experimental Tools to Monitor the Changes in Translation Efficiency of Plant mRNA on a Genome-Wide Scale: Advantages, Limitations, and Solutions." International Journal of Molecular Sciences 20, no. 1 (2018): 33. http://dx.doi.org/10.3390/ijms20010033.

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The control of translation in the course of gene expression regulation plays a crucial role in plants’ cellular events and, particularly, in responses to environmental factors. The paradox of the great variance between levels of mRNAs and their protein products in eukaryotic cells, including plants, requires thorough investigation of the regulatory mechanisms of translation. A wide and amazingly complex network of mechanisms decoding the plant genome into proteome challenges researchers to design new methods for genome-wide analysis of translational control, develop computational algorithms de
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Sudalagunta, Praneeth Reddy, Rafael Renatino Canevarolo, Mark Meads, et al. "Abstract 4313: A novel gene regulatory network model identifies master regulators in cancer." Cancer Research 83, no. 7_Supplement (2023): 4313. http://dx.doi.org/10.1158/1538-7445.am2023-4313.

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Abstract Small-scale regulatory networks can model known biological processes; while large-scale genome-wide datasets can identify novel mechanisms. We developed a biophysical modeling framework that combines the accuracy of small-scale networks with the power of large-scale datasets. As a proof of principle, we implemented this framework on a cohort of 844 multiple myeloma (MM) patients’ (and 1092 TCGA breast cancer patients) z-normalized RNAseq data using t-Distributed Stochastic Neighbor Embedding to construct a disease-specific transcriptomic map, where genes closer to each other co-expres
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Farley, Brian M., and Sean P. Ryder. "POS-1 and GLD-1 repress glp-1 translation through a conserved binding-site cluster." Molecular Biology of the Cell 23, no. 23 (2012): 4473–83. http://dx.doi.org/10.1091/mbc.e12-03-0216.

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RNA-binding proteins (RBPs) coordinate cell fate specification and differentiation in a variety of systems. RNA regulation is critical during oocyte development and early embryogenesis, in which RBPs control expression from maternal mRNAs encoding key cell fate determinants. The Caenorhabditis elegans Notch homologue glp-1 coordinates germline progenitor cell proliferation and anterior fate specification in embryos. A network of sequence-specific RBPs is required to pattern GLP-1 translation. Here, we map the cis-regulatory elements that guide glp-1 regulation by the CCCH-type tandem zinc fing
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Zamani, Zahra, Amirhossein Hajihosseini, and Ali Masoudi-Nejad. "Computational Methodologies for Analyzing, Modeling and Controlling Gene Regulatory Networks." Biomedical Engineering and Computational Biology 2 (January 2010): BECB.S5594. http://dx.doi.org/10.4137/becb.s5594.

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Molecular biology focuses on genes and their interactions at the transcription, regulation and protein level. Finding genes that cause certain behaviors can make therapeutic interventions more effective. Although biological tools can extract the genes and perform some analyses, without the help of computational methods, deep insight of the genetic function and its effects will not occur. On the other hand, complex systems can be modeled by networks, introducing the main data as nodes and the links in-between as the transactions occurring within the network. Gene regulatory networks are example
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Spirov, Alexander V., Ekaterina M. Myasnikova, and David M. Holloway. "Sequential construction of a model for modular gene expression control, applied to spatial patterning of theDrosophilagenehunchback." Journal of Bioinformatics and Computational Biology 14, no. 02 (2016): 1641005. http://dx.doi.org/10.1142/s0219720016410055.

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Gene network simulations are increasingly used to quantify mutual gene regulation in biological tissues. These are generally based on linear interactions between single-entity regulatory and target genes. Biological genes, by contrast, commonly have multiple, partially independent, cis-regulatory modules (CRMs) for regulator binding, and can produce variant transcription and translation products. We present a modeling framework to address some of the gene regulatory dynamics implied by this biological complexity. Spatial patterning of the hunchback (hb) gene in Drosophila development involves
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Alshabi, Ali Mohamed, Basavaraj Vastrad, Ibrahim Ahmed Shaikh, and Chanabasayya Vastrad. "Identification of Crucial Candidate Genes and Pathways in Glioblastoma Multiform by Bioinformatics Analysis." Biomolecules 9, no. 5 (2019): 201. http://dx.doi.org/10.3390/biom9050201.

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The present study aimed to investigate the molecular mechanisms underlying glioblastoma multiform (GBM) and its biomarkers. The differentially expressed genes (DEGs) were diagnosed using the limma software package. The ToppGene (ToppFun) was used to perform pathway and Gene Ontology (GO) enrichment analysis of the DEGs. Protein-protein interaction (PPI) networks, extracted modules, miRNA-target genes regulatory network and TF-target genes regulatory network were used to obtain insight into the actions of DEGs. Survival analysis for DEGs was carried out. A total of 590 DEGs, including 243 up re
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Dissertationen zum Thema "Translation regulatory network"

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Freschi, Luca. "Post-translational modifications regulatory networks : evolution, mechanisms et implications." Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/25812.

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Les modifications post-traductionnelles (PTM) sont des modifications chimiques des protéines qui permettent à la cellule de réguler finement ses fonctions ainsi que de coder et d’intégrer des signaux environnementaux. Les progrès récents en ce qui a trait aux techniques expérimentales et bioinformatiques nous ont permis de determiner les profils de PTM pour des protéomes entiers ainsi que d’identifier les molécules qui sont responsables d’ « écrire » ou d’« effacer » ces PTM. Avec ces donnés, il a été possible de commencer à definir des réseaux de régulation cellulaire par PTM. Ici, nous avons
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Pontheaux, Florian. "Activité traductionnelle et dynamique mitotique induites par la fécondation chez l’oursin." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS209.

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La régulation fine de la traduction pour la dynamique du cycle cellulaire est un sujet important dans la recherche cellulaire. Au cours de ma thèse, j'ai analysé les relations entre l’activité traductionnelle des ARNm et les divisions embryonnaires mitotiques d'oursins. La fécondation de l'œuf déclenche l'activation de la machinerie traductionnelle nécessaire à la reprise des divisions mitotiques. Un réseau de régulation traductionnelle (TlRN), indépendant de la transcription, reste à identifier et à caractériser en amont des acteurs du cycle cellulaire. A la recherche d'activités mitotiques p
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Tan, Elizabeth E.-Lyn. "Immuno-metabolism in Metabolic (dysfunction) associated fatty liver disease (MAFLD)." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27978.

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The findings from chronic complex diseases modelled in animals are difficult to extrapolate to humans. In metabolic (dysfunction) associated fatty liver disease (MAFLD), dietary models are commonly used to study the mechanisms for disease progression. The current dogma is that diets rich in fat, simple carbohydrates, and cholesterol can lead to systemic alterations in metabolism that leads to the accumulation of lipids in the adipose and liver tissues. This leads to lipotoxicity and a vicious cycle of inflammation and liver injury which can drive disease progression. Hence, there has been a co
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Eckmann, Christian R., Mark Schmid, Adam P. Kupinski, Britta Jedamzik, Martin Harterink, and Agata Rybarska. "GLS-1, a novel P granule component, modulates a network of conserved RNA regulators to influence germ cell fate decisions." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-184095.

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Post-transcriptional regulatory mechanisms are widely used to influence cell fate decisions in germ cells, early embryos, and neurons. Many conserved cytoplasmic RNA regulatory proteins associate with each other and assemble on target mRNAs, forming ribonucleoprotein (RNP) complexes, to control the mRNAs translational output. How these RNA regulatory networks are orchestrated during development to regulate cell fate decisions remains elusive. We addressed this problem by focusing on Caenorhabditis elegans germline development, an exemplar of post-transcriptional control mechanisms. Here, we re
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Eckmann, Christian R., Mark Schmid, Adam P. Kupinski, Britta Jedamzik, Martin Harterink, and Agata Rybarska. "GLS-1, a novel P granule component, modulates a network of conserved RNA regulators to influence germ cell fate decisions." PLOS Genetics, 2009. https://tud.qucosa.de/id/qucosa%3A28993.

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Post-transcriptional regulatory mechanisms are widely used to influence cell fate decisions in germ cells, early embryos, and neurons. Many conserved cytoplasmic RNA regulatory proteins associate with each other and assemble on target mRNAs, forming ribonucleoprotein (RNP) complexes, to control the mRNAs translational output. How these RNA regulatory networks are orchestrated during development to regulate cell fate decisions remains elusive. We addressed this problem by focusing on Caenorhabditis elegans germline development, an exemplar of post-transcriptional control mechanisms. Here, we re
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Campbell, Pearl. "Pou5f1 Post-translational Modifications Modulate Gene Expression and Cell Fate." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23607.

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Embryonic stem cells (ESCs) are characterized by their unlimited capacity for self-renewal and the ability to contribute to every lineage of the developing embryo. The promoters of developmentally regulated loci within these cells are marked by coincident epigenetic modifications of gene activation and repression, termed bivalent domains. Trithorax group (TrxG) and Polycomb Group (PcG) proteins respectively place these epigenetic marks on chromatin and extensively colocalize with Oct4 in ESCs. Although it appears that these cells are poised and ready for differentiation, the switch that permi
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Surappa-Narayanappa, Ananth Prakash. "The evolution, modifications and interactions of proteins and RNAs." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/269851.

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Proteins and RNAs are two of the most versatile macromolecules that carry out almost all functions within living organisms. In this thesis I have explored evolutionary and regulatory aspects of proteins and RNAs by studying their structures, modifications and interactions. In the first chapter of my thesis I investigate domain atrophy, a term I coined to describe large-scale deletions of core structural elements within protein domains. By looking into truncated domain boundaries across several domain families using Pfam, I was able to identify rare cases of domains that showed atrophy. Given t
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Ghaffari, Noushin. "Genomic Regulatory Networks, Reduction Mappings and Control." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10726.

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All high-level living organisms are made of small cell units, containing DNA, RNA, genes, proteins etc. Genes are important components of the cells and it is necessary to understand the inter-gene relations, in order to comprehend, predict and ultimately intervene in the cells’ dynamics. Genetic regulatory networks (GRN) represent the gene interactions that dictate the cell behavior. Translational genomics aims to mathematically model GRNs and one of the main goals is to alter the networks’ behavior away from undesirable phenotypes such as cancer. The mathematical framework that has been often
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Dey, Souvik. "Transcriptional regulation of ATF4 is critical for controlling the Integrated Stress Response during eIF2 phosphorylation." Thesis, 2012. http://hdl.handle.net/1805/3041.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>In response to different environmental stresses, phosphorylation of eIF2 (eIF2P) represses global translation coincident with preferential translation of ATF4. ATF4 is a transcriptional activator of the integrated stress response, a program of gene expression involved in metabolism, nutrient uptake, anti-oxidation, and the activation of additional transcription factors, such as CHOP/GADD153, that can induce apoptosis. Although eIF2P elicits translational control in response to many different stress arrangements, there are selecte
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Buchteile zum Thema "Translation regulatory network"

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Miyamoto-Sato, Etsuko. "Next-Generation Sequencing Coupled with a Cell-Free Display Technology for Reliable Interactome of Translational Factors." In Transcription Factor Regulatory Networks. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0805-9_3.

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Cheok, Yi Ying, Suhailah Abdullah, and Won Feng Wong. "Transcriptional regulatory network associated with multiple sclerosis pathogenesis." In Transcription and Translation in Health and Disease. Elsevier, 2023. http://dx.doi.org/10.1016/b978-0-323-99521-4.00018-0.

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Yousefi, Mohammadmahdi Rezaei. "Optimal Intervention Methods for Markovian Gene Regulatory Networks." In Data Analytics in Medicine. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1204-3.ch057.

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A central problem in translational medicine is to provide a framework for deriving and studying effective intervention methods to elicit desired steady-state behavior for a gene regulatory network of interest with Markovian dynamics. Heretofore, two rather different external control approaches have been taken. The first optimizes a subjectively defined cost function while modeling treatment constraints; therefore, desirable shift of the steady-state mass is a by-product. The second approach, on the other hand, focuses solely on the steady-state behavior of the network and provides the maximal shift achievable. Although both approaches are optimal with respect to their objectives, the choice of which to use depends on the treatment goals.
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Carvalho, P., G. Elias da Silva, and N. J. M. Saibo. "Understanding the genetics of C3 photosynthesis in crop plants." In Understanding and improving crop photosynthesis. Burleigh Dodds Science Publishing, 2023. http://dx.doi.org/10.19103/as.2022.0119.03.

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Understanding the genetics of C3 photosynthesis, particularly its regulation, is essential to undertake photosynthetic improvement. The expression of the photosynthesis-associated genes is regulated at different levels (transcriptional, post-transcriptional, post-translational), but very little is known about the regulatory networks involved. This chapter introduces the photosynthesis-associated core genes encoded either in the nucleus or in the chloroplast and discusses how different internal (e.g. redox state, circadian rhythm) and external (e.g. abiotic stresses, light) signals regulate their transcription, particularly in crop plants. Since the molecular mechanisms underlying the regulation of photosynthesis-associated genes is poorly understood, this chapter also discusses what is known regarding the transcriptional regulation of photosynthesis in C3 crops, mainly rice and tomato. Among the regulators described, few were shown in the field to have the potential to improve photosynthesis. How the state-of-the-art knowledge can be used for photosynthesis improvement and future work perspectives, including the use of transplastomics, is also discussed.
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Dang, Nitika. "Current Practice of Sleep Medicine in India." In The Practice of Sleep Medicine Around The World: Challenges, Knowledge Gaps and Unique Needs. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815049367123010018.

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The history of sleep medicine dates back to millennia, carrying centuries of wisdom, decades of myths and challenges through the many years of struggle. Having been recognised as a body of knowledge in the last two decades and a formal branch of medicine in modern-day India. The burden of impending clinical practice, research and disproportionate health indices has allowed the tide of sleep medicine to be surfed by multiple specialties. With research interest dating back to 1965, the practice laid its formal beginning with the first sleep lab set up in New Delhi in 1995. The regulatory practices are thin on the ground that impedes the standardization of clinical research, labs or training of personnel in India. Initiatives at the behest of physicians have led to the setup of self-structured regulatory bodies, expanding the network of sleep labs in the country, albeit still very limited in comparison to the size of its populace. Increasing awareness about healthy sleep habits, bridging gaps in research, quality training and standards, improved regulatory frameworks, and translating knowledge from evidence-based medicine will drive the desired public health outcomes as well as the growth of standards and the future of sleep medicine practice in India.
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Ross, John, Igor Schreiber, and Marcel O. Vlad. "Mini-Introduction to Bioinformatics." In Determination of Complex Reaction Mechanisms. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195178685.003.0015.

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There is enormous interest in the biology of complex reaction systems, be it in metabolism, signal transduction, gene regulatory networks, protein synthesis, and many others. The field of the interpretation of experiments on such systems by application of the methods of information science, computer science, and biostatistics is called bioinformatics (see for a presentation of this subject). Part of it is an extension of the chemical approaches that we have discussed for obtaining information on the reaction mechanisms of complex chemical systems to complex biological and genetic systems. We present here a very brief introduction to this field, which is exploding with scientific and technical activity. No review is intended, only an indication of several approaches on the subject of our book, with apologies for the omission of vast numbers of publications. A few reminders: The entire complement of DNA molecules constitute the genome, which consists of many genes. RNA is generated from DNA in a process called transcription; the RNA that codes for proteins is known as messenger RNA, abbreviated tomRNA. Other RNAs code for functional molecules such as transfer RNAs, ribosomal components, and regulatory molecules, or even have enzymatic function. Protein synthesis is regulated by many mechanisms, including that for transcription initiation, RNA splicing (in eukaryotes), mRNA transport, translation initiation, post-translational modifications, and degradation of mRNA. Proteins perform perhaps most cellular functions. Advances in microarray technology, with the use of cDNA or oligonucleotides immobilized in a predefined organization on a solid phase, have led to measurements of mRNA expression levels on a genome-wide scale (see chapter 3). The results of the measurements can be displayed on a plot on which a row represents one gene at various times, a column the whole set of genes, and the time of gene expression is plotted along the axis of rows. The changes in expression levels, as measured by fluorescence, are indicated by colors, for example green for decreased expression, black for no change in expression, and red for increased expression. Responses in expression levels have been measured for various biochemical and physiological conditions. We turn now to a few methods of obtaining information on genomic networks from microarray measurements.
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Amenta, Valentina, Adriana Lazzaroni, and Laura Abba. "Internet Identity and the Right to be Forgotten." In Handbook of Research on Redesigning the Future of Internet Architectures. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8371-6.ch002.

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In this chapter, the analysis will focus on the concept of digital identity which is evolving and changing, based on the experiences that every individual lives. The chapter further highlights how the digital identity includes the fundamental human rights such as the right to a name, the right of reply, the right to protection of personal data and the right to an image. In translating the right to personal identity to our digitalized era, with its massive use of social networks, we have added to the related decalogue of rights the right to oblivion, equally called right to be forgotten. Given the complexity of the subject, the chapter develops an analysis of the actual international regulatory trends.
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Tong, Ling, Shuanghao Yong, Wei Li, Xiao Yang, and Xing Wang. "ARES-Kcr: A New Network Model Utilizing Attention Mechanism and Residual Structure for the Prediction of Lysine Crotonylation Sites." In Studies in Health Technology and Informatics. IOS Press, 2023. http://dx.doi.org/10.3233/shti230877.

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Lysine crotonylation (Kcr), as a significant post-translational modification of protein, exists in the core histones and some non histones of many organisms, and plays a crucial regulatory role in many biological processes such as gene expression, cell development, and disease treatment. Due to the high cost, time-consuming and labor-intensive nature of traditional biological experimental methods, it is necessary to develop efficient, low-cost and accurate calculation methods for identifying crotonylation sites. Therefore, we propose a new network model called ARES-Kcr, which extracts three types of features from different perspectives and integrates convolutional modules, attention mechanisms, and residual modules for feature fusion to improve prediction ability in this paper. Our model performs significantly better than other models on the benchmark dataset, with an average AUC of 92% in the independent test set, demonstrating its excellent predictive ability.
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Altay, Halit Yusuf, Fatma Özdemir, İskalen Cansu Topçu Okan, Yeşim Tütüncü, and Cavit Ağca. "Gen Düzenleyici Araçlar ve Bunların Translasyonel Yönleri." In Moleküler Biyoloji ve Genetik. Türkiye Bilimler Akademisi, 2023. http://dx.doi.org/10.53478/tuba.978-625-8352-48-1.ch08.

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Recent discoveries and advancements of gene editing tools and artificial transcription factors as well as delivery vectors are extending the frontiers for potential applications in the gene therapy field. Gene-editing tools like CRISPR (Clustered Regularly Interspaced Palindromic Repeats)-Cas9, transcription activator-like effector nucleases (TALENs), and zinc-finger nucleases (ZFNs) are mainly used for correcting disease mutations or modifying genome for research purposes. However, artificial transcription factors (non-cutting gene-editing tools) together with transcriptional activators or repressors are mostly used for establishing synthetic gene regulatory networks that will either overexpress or repress several genes in a controlled manner. Applications of gene editing tools and artificial transcription factors in humans have been the focus of research for years, however, the required efficiency, safety, and applicability were not achieved until recently. Moreover, the number of human trials using these tools for gene therapy applications is increasing tremendously. With the recent discovery of a highly efficient protein delivery method, we can now further benefit from gene regulatory and gene editing tools in a transient fashion, which will minimize the undesired side effects and off-target modifications. In this chapter, we summarized the origins, mechanisms, and recent progress on gene regulation and gene editing tools with a focus on the recent translational applications.
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Konferenzberichte zum Thema "Translation regulatory network"

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Liu, Yu, Yang Liu, Zhengtao Xiao, and Xuerui Yang. "Abstract A2-54: DNA methylation-dependent transcription regulatory networks elucidate dynamics of transcription regulatory circuitry in cancers." In Abstracts: AACR Special Conference: Translation of the Cancer Genome; February 7-9, 2015; San Francisco, CA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.transcagen-a2-54.

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Wu, Daniel Duanqing, Xiaohua Hu, and Tingting He. "Exploratory Analysis of Protein Translation Regulatory Networks Using Hierarchical Random Graphs." In 2009 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2009. http://dx.doi.org/10.1109/bibm.2009.38.

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Singh, Abhyudai, and Joao Pedro Hespanha. "Reducing noise through translational control in an auto-regulatory gene network." In 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5160206.

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Fujita, Andre, Carme Camps, Jiannis Ragoussis, Satoru Miyano, and Patricia Severino. "Abstract A18: Assessing microRNA regulatory networks for biomarker discovery in cancer." In Abstracts: AACR International Conference on Translational Cancer Medicine-- Jul 11-14, 2010; San Francisco, CA. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1078-0432.tcmusa10-a18.

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Pires, Bruno R. B., Gerson M. Ferreira, Renata Binato, and Eliana Abdelhay. "Abstract A45: Regulatory network of the metastatic process in breast cancer." In Abstracts: AACR International Conference held in cooperation with the Latin American Cooperative Oncology Group (LACOG) on Translational Cancer Medicine; May 4-6, 2017; São Paulo, Brazil. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1557-3265.tcm17-a45.

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Abate-Shen, Cory. "Abstract IA5: Using cross-species analysis of genome-wide regulatory networks to identify drivers of cancer malignancy." In Abstracts: AACR Special Conference: The Translational Impact of Model Organisms in Cancer; November 5-8, 2013; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1557-3125.modorg-ia5.

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Berichte der Organisationen zum Thema "Translation regulatory network"

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Chen, Junping, Zach Adam, and Arie Admon. The Role of FtsH11 Protease in Chloroplast Biogenesis and Maintenance at Elevated Temperatures in Model and Crop Plants. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699845.bard.

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specific objectives of this proposal were to: 1) determine the location, topology, and oligomerization of FtsH11 protease; 2) identify the substrate/s of FtsH11 and the downstream components involved in maintaining thermostability of chloroplasts; 3) identify new elements involved in FtsH11 protease regulatory network related to HT adaptation processes in chloroplast; 4) Study the role of FtsH11 homologs from crop species in HT tolerance. Background to the topic: HT-tolerant varieties that maintain high photosynthetic efficiency at HT, and cope better with daily and seasonal temperature fluctu
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Shale Gas: Strategic, Technical, Environmental and Regulatory Issues. Universidad de Deusto, 2016. http://dx.doi.org/10.18543/tszi1191.

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In January 2016, the book Gas no convencional: shale gas. Aspectos estratégicos, técnicos, medioambientales y regulatorios was published. As we pointed out in the prologue of the book, the study of unconventional gas is within the lines of knowledge of the Energy Chair of Orkestra of the University of Deusto. In fact, three main lines of study are currently covered. Namely Energy markets, Energy Industry and Technology, and Energy Policy. The approach to the shale gas study that the reader has in his hands, in our view, covers a wide scope of topics, including the strategic aspects, the techni
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