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Letteratura scientifica selezionata sul tema "Gene Expression RNA"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 1 febbraio 2022

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Articoli di riviste sul tema "Gene Expression RNA"

1

ARNAUD, CELIA. "RNA-CONTROLLED GENE EXPRESSION". Chemical & Engineering News 86, n. 29 (21 luglio 2008): 51. http://dx.doi.org/10.1021/cen-v086n029.p051.

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2

Collart, Martine A., e Joseph C. Reese. "Gene expression as a circular process". RNA Biology 11, n. 4 (10 febbraio 2014): 320–23. http://dx.doi.org/10.4161/rna.28037.

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3

Kirchner, Marion, e Sabine Schneider. "Gene expression control byBacillus anthracispurine riboswitches". RNA 23, n. 5 (16 febbraio 2017): 762–69. http://dx.doi.org/10.1261/rna.058792.116.

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4

Liu, Junjie, Peng Li, Liuyang Lu, Lanfen Xie, Xiling Chen e Baizhong Zhang. "Selection and evaluation of potential reference genes for gene expression analysis in Avena fatua Linn". Plant Protection Science 55, No. 1 (20 novembre 2018): 61–71. http://dx.doi.org/10.17221/20/2018-pps.

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Abstract (sommario):

Eight commonly used candidate reference genes, 18S ribosomal RNA (rRNA) (18S), 28S rRNA (28S), actin (ACT), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), elongation factor 1 alpha (EF1α), ribosomal protein L7 (RPL7), Alpha-tubulin (α-TUB), and TATA box binding protein-associated factor (TBP), were evaluated under various experimental conditions to assess their suitability in different developmental stages, tissues and herbicide treatments in Avena fatua. The results indicated the most suitable reference genes for the different experimental conditions. For developmental stages, 28S and EF1α were the optimal reference genes, both EF1α and 28S were suitable for experiments of different tissues, whereas for herbicide treatments, GAPDH and ACT were suitable for normalizations of expression data. In addition, GAPDH and EF1α were the suitable reference genes.

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5

Arias, Carlos F., Miguel A. Dector, Lorenzo Segovia, Tomás López, Minerva Camacho, Pavel Isa, Rafaela Espinosa e Susana López. "RNA silencing of rotavirus gene expression". Virus Research 102, n. 1 (giugno 2004): 43–51. http://dx.doi.org/10.1016/j.virusres.2004.01.014.

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6

Breaker, R. R. "Gene expression control: Harnessing RNA switches". Gene Therapy 12, n. 9 (13 gennaio 2005): 725–26. http://dx.doi.org/10.1038/sj.gt.3302461.

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7

Maia, Ivan G., Karin S�ron, Anne-Lise Haenni e Fran�oise Bernardi. "Gene expression from viral RNA genomes". Plant Molecular Biology 32, n. 1-2 (ottobre 1996): 367–91. http://dx.doi.org/10.1007/bf00039391.

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8

Poulsen, Line Dahl, e Jeppe Vinther. "RNA-Seq for Bacterial Gene Expression". Current Protocols in Nucleic Acid Chemistry 73, n. 1 (18 maggio 2018): e55. http://dx.doi.org/10.1002/cpnc.55.

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9

Shoshani, Ofer, e Don W. Cleveland. "Gene expression regulated by RNA stability". Science 367, n. 6473 (2 gennaio 2020): 29. http://dx.doi.org/10.1126/science.aba0713.

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10

Soller, Matthias, e Rupert Fray. "RNA modifications in gene expression control". Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 1862, n. 3 (marzo 2019): 219–21. http://dx.doi.org/10.1016/j.bbagrm.2019.02.010.

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Tesi sul tema "Gene Expression RNA"

1

Hamilton, Andrew John. "Inhibiting gene expression with anti-sense RNA". Thesis, University of Nottingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316938.

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2

Sesto, Nina. "RNA mediated gene expression regulation in Listeria". Paris 7, 2012. http://www.theses.fr/2012PA077233.

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Abstract (sommario):

Listeria monocytogenes est une bactérie pathogène responsable de la listériose, une maladie d'origine alimentaire. Alors que de nombreuses protéines de L. Monocytogenes ont été identifiées comme facteurs de virulence, le rôle des petits ARN régulateurs chez Listeria demeure méconnu. Mon projet de thèse avait pour objectif de découvrir de nouveaux concepts sur la régulation de l'expression des gènes impliquant des ARNs régulateurs jouant un rôle dans la virulence de Listeria. Mon travail a été basé sur deux approches distinctes. La première a concerné l'analyse comparative des transcriptomes de L. Monocytogenes et de L. Innocua, une espèce proche non-pathogène. La seconde a concerné la caractérisation de petits ARNs régulateurs et l'identification de leur rôle dans le processus infectieux. L'analyse comparative des deux transcriptomes a révélé une conservation de la majorité des transcrits, à l'exception d'une divergence significative entre les deux espèces pour un sous-ensemble d'ARN régulateurs non-codants. De manière surprenante, nous avons identifié une classe de longs transcrits antisens (lasARNs) qui chevauchent un gène tout en servant de S'UTR au gène adjacent divergent. La transcription du lasARN est à l'origine d'une régulation mutuellement exclusive de l'expression des gènes adjacents avec des fonctions opposées. Cette étude a été la première à comparer deux transcriptomes bactériens avec une résolution d'une seule base. Elle a conduit à la découverte chez L. Monocytogenes de 33 nouveaux petits ARNs et 53 asARNs et à l'identification d'une structure lasRNA /opéron que nous avons appelé « excludon» qui pourrait représenter une nouvelle forme de régulation chez les bactéries. J'ai également effectué une analyse sur plusieurs petits ARNs en combinant des approches de transcriptomes, des modèles d'infection chez la souris et en utilisant des algorithmes de prédiction de cibles des ARNs. J'ai ainsi identifié et caractérisé cinq petits ARNs qui sont importants pour la virulence de Listeria. Au cours de cette analyse, j'ai caractérisé en détail RliB, un ARN à double fonction pouvant agir comme un élément CRISPR et comme un ARN régulateur impliqué dans la régulation de l'homéostasie du fer chez Listeria. Nous avons ainsi réalisé la première étude détaillée d'un élément CRISPR impliqué dans la régulation d'un processus cellulaire fondamental autres que l'immunité contre les bactériophages
Listeria monocytogenes is a bacterial pathogen responsible for listeriosis, a food-borne disease. In contrast to the significant advances in identifying proteins involved in virulence, relatively little is known about the role of sRNAs in L. Monocytogenes pathogenesis. The aim of my thesis project was to discover new concepts in RNA-mediated gene expression regulation with a role in Listeria virulence. My work was based on two distinct approaches. The first one involved global transcriptomic studies of L. Monocytogenes and its non-pathogenic relative, Listeria innocua while the second one concerned the characterization of individual sRNAs and the identification of their role in the infectious process. First, our comparative transcriptome analysis revealed conservation across most transcripts, but significant divergence between the species in a subset of non-coding sRNAs. This study was the first to compare two bacterial transcriptomes at a single-base resolution. Pt led to the discovery of 33 new sRNAs and 53 new asRNAs in L. Monocytogenes. Remarkably, we identified a class of long antisense transcripts (lasRNAs) that overlap one gene while also serving as the 5'UTR of the adjacent divergent gene. IasRNA transcription leads to the mutually exclusive regulation of the adjacent genes with opposite functions. This IasRNA/operon structure that we named "excludon" might represent a novel form of regulation in bacteria. Second, we conducted an analysis on several sRNAs by combining transcriptomic approaches, target prediction algorithm and mouse model of infection. I thus identified and characterized five sRNAs that are important for Listeria virulence. Furthermore, I focused on the detailed characterization of RIiB, a dual-function regulatory RNA that acts as a CRISPR element and a regulatory RNA involved in Listeria iron homeostasis regulation, providing the first detailed study of CRISPR element regulating fundamental cellular processes other than acting as a bacteriophage defense system

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3

Taylor, David C. "SELEX targeting mRNAs : the hunt for novel riboregulators /". free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3013032.

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4

Gonçalves, Ângela. "RNA sequencing for the study of gene expression regulation". Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/265548.

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The process by which information encoded m an organism's DNA is used in the synthesis of functional cell products is known as gene expression. In recent years, sequencing of RNA (RNA-seq) has emerged as the preferred technology for the simultaneous measurement of transcript sequences and their abundance. The analysis of RNA-seq data presents novel challenges and many methods have been developed for the purpose of mapping reads to genomic features and expression quantification. In the first part of my thesis I developed an R based pipeline for pre-processing, expression estimation and data quality assessment of RNA-seq datasets, which formed the basis for my subsequent work on the evolution of gene expression regulation in mammals. Since changes in gene expression levels are thought to underlie many of the phenotypic differences between species, identifying and characterising the regulatory mechanisms responsible for these changes is an important goal of molecular biology. For this, I studied the regulatory divergence of liver gene expression and of isoform usage between mouse strains. I demonstrate that gene expression diverges extensively between the strains and propose that the regulatory mechanism underlying divergent expression between two closely related mammalian species is a combination of variants that arise in cis and in trans. Isoform usage diverges to a lesser extent and appears to display a larger contribution of trans acting regulatory elements to its regulation, suggesting that isoform usage may be under different evolutionary constraints. These observations have important implications for understanding mammalian gene expression divergence and for understanding how speciation occurs.

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5

Preuten, Tobias. "Organellar gene expression". Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2010. http://dx.doi.org/10.18452/16142.

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Zusätzlich zu der eubakteriellen RNA-Polymerase (RNAP) der Plastiden sind im Zellkern von Arabidopsis thaliana drei weitere, phagentypische RNAP kodiert, die jeweils aus nur einer Einheit aufgebaut sind. Die Enzyme RpoTp und RpoTm werden in die Plastiden, bzw. die Mitochondrien transportiert, während RpoTmp in beiden Organellen zu finden ist. Um die Lichtabhängigkeit der RpoT-Gene zu untersuchen, wurde die lichtinduzierte Akkumulation ihrer Transkripte in 7-Tage alten Keimlingen, sowie 3- bzw. 9-Wochen alten Rosettenblättern mittels quantitativer real-time PCR ermittelt. Die entwicklungsabhängige Regulation der RpoT-Transkript-Akkumulation wurde außerdem während der Blattentwicklung analysiert. Zusätzlich wurde der Einfluss des circadianen Rhythmus untersucht. Es stellte sich heraus, dass die Transkriptakkumulation aller drei RpoT-Gene stark lichtinduziert war und nur marginalen circadianen Schwankungen unterlag. In weiteren Versuchen mit verschiedenen Lichtrezeptor-Mutanten und unterschiedlichen Lichtqualitäten wurde der Einfluss multipler Rezeptoren auf den Prozess der Lichtinduktion gezeigt. In den Zellen höherer Pflanzen finden sich drei Genome. Die Biogenese von Chloroplasten und Mitochondrien, sowie lebenswichtige Prozesse, wie Atmung und Photosynthese setzen oftmals die Aktivität von Genen auf mindestens zwei dieser Genome voraus. Eine intrazelluläre Kommunikation zwischen den verschiedenen Genomen ist daher unumgänglich für einen funktionierenden Stoffwechsel der Pflanze. In dieser Arbeit wurde herausgestellt, dass die Zahl mitochondrialer Genkopien in photosynthetisch inaktiven Arabidopsis-Keimlingen drastisch erhöht ist. Bei der Untersuchung des DNA-Gehaltes in Proben, die Altersstufen von 2-Tage alten Keimblättern bis hin zu 37-Tage alten, seneszenten Rosettenblättern umfassten, fand sich ein deutlicher Anstieg der Kopienzahlen in älteren Rosettenblättern. Außerdem unterschieden sich die Kopienzahlen der untersuchten Gene zum Teil erheblich voneinander.
In addition to eubacterial-like multi-subunit RNA polymerases (RNAP) localized in plastids and the nucleus, Arabidopsis thaliana contains three phage-like single-unit, nuclear-encoded, organellar RNAPs. The enzymes RpoTp and RpoTm are imported into plastids and mitochondria, respectively, whereas RpoTmp shows dual targeting properties into both organelles. To investigate if expression of the RpoT genes is light-dependent, light-induced transcript accumulation of RpoTm, RpoTp and RpoTmp was analyzed using quantitative real-time-PCR in 7-day-old seedlings as well as in 3- and 9-week-old rosette leaves. To address the question whether RpoT transcript accumulation is regulated differentially during plant development transcript abundance was measured during leaf development. Additionally, effects of the plants circadian rhythm on RpoT transcript accumulation were analyzed. Transcripts of all three RpoT genes were found to be strongly light-induced even in senescent leaves and only marginally influenced by the circadian clock. Further analyses employing different photoreceptor mutants and light qualities revealed the involvement of multiple receptors in the light-induction process. The biogenesis of mitochondria and chloroplasts as well as processes like respiration and photosynthesis require the activity of genes residing in at least two distinct genomes. There have to be ways of intracellular communication between different genomes to control gene activities in response to developmental and metabolic needs of the plant. In this study, it was shown that gene copy numbers drastically increased in photosynthetically inactive Arabidopsis seedlings. Mitochondrial DNA contents in cotyledons and leaves ranging in age from 2-day-old cotyledons to 37-day-old senescent rosette leaves were examined. A common increase in senescing rosette leaves and drastic differences between individual genes were found, revealing the importance of an integrative chondriome in higher plant cells.

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6

Busby, Michele Anne. "Measuring Gene Expression With Next Generation Sequencing Technology". Thesis, Boston College, 2012. http://hdl.handle.net/2345/3145.

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Thesis advisor: Gabor Marth
While a PhD student in Dr. Gabor Marth's laboratory, I have had primary responsibility for two projects focused on using RNA-Seq to measure differential gene expression. In the first project we used RNA-Seq to identify differentially expressed genes in four yeast species and I analyzed the findings in terms of the evolution of gene expression. In this experiment, gene expression was measured using two biological replicates of each species of yeast. While we had several interesting biological findings, during the analysis we dealt with several statistical issues that were caused by the experiment's low number of replicates. The cost of sequencing has decreased rapidly since this experiment's design and many of these statistical issues can now practically be avoided by sequencing a greater number of samples. However, there is little guidance in the literature as to how to intelligently design an RNA-Seq experiment in terms of the number of replicates that are required and how deeply each replicate must be sequenced. My second project, therefore, was to develop Scotty, a web-based program that allows users to perform power analysis for RNA-Seq experiments. The yeast project resulted in a highly accessed first author publication in BMC Genomics in 2011. I have structured my dissertation as follows: The first chapter, entitled General Issues in RNA-Seq, is intended to synthesize the themes and issues of RNA-Seq statistical analysis that were common to both papers. In this section, I have discussed the main findings from the two papers as they relate to analyzing RNA-Seq data. Like the Scotty application, this section is designed to be "used" by wet-lab biologists who have a limited background in statistics. While some background in statistics would be required to fully understand the following chapters, the essence of this background can be gained by reading this first chapter. The second and third chapters contain the two papers that resulted from the two RNA-Seq projects. Each chapter contains both the original manuscript and original supplementary methods and data section. Finally, I include brief summaries of my contributions to the two papers on which I was a middle author. The first was a functional analysis of the genomic regions affected by mobile element insertions as a part of Chip Stewart's paper with the 1000 Genome Consortium. This paper was published in Plos Genetics. The second was a cluster analysis of microarray gene expression in Toxoplasma gondii, which was included as part of Alexander Lorestani et al.'s paper, Targeted proteomic dissection of Toxoplasma cytoskeleton sub-compartments using MORN1. This paper is currently under review. The yeast project was a collaborative effort between Jesse Gray, Michael Springer, and Allen Costa at Harvard Medical School, Jeffery Chuang here at Boston College, and members of the Marth lab. Jesse Gray conceived of the project. While I wrote the draft for the manuscript, many people, particularly Gabor Marth, provided substantial guidance on the actual text. I conceived of and implemented Scotty and wrote its manuscript with only editorial assistance from my co-authors. I produced all figures for the two manuscripts. Chip Stewart provided extensive guidance and mentorship to me on all aspects of my statistical analyses for both projects
Thesis (PhD) — Boston College, 2012
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Biology

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7

Tigue, P. J. "Hormonal regulation of mammary gene expression". Thesis, University of Nottingham, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381461.

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8

Zaghlool, Ammar. "Genome-wide Characterization of RNA Expression and Processing". Doctoral thesis, Uppsala universitet, Institutionen för immunologi, genetik och patologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209390.

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The production of fully mature protein-coding transcripts is an intricate process that involves numerous regulation steps. The complexity of these steps provides the means for multilayered control of gene expression. Comprehensive understanding of gene expression regulation is essential for interpreting the role of gene expression programs in tissue specificity, development and disease. In this thesis, we aim to provide a better global view of the human transcriptome, focusing on its content, synthesis, processing and regulation using next-generation sequencing as a read-out. In Paper I, we show that sequencing of total RNA provides unique insights into RNA processing. Our results revealed that co-transcriptional splicing is a widespread mechanism in human and chimpanzee brain tissues. We also found a correlation between slowly removed introns and alternative splicing. In Paper II, we explore the benefits of exome capture approaches in combination with RNA-sequencing to detect transcripts expressed at low-levels. Based on our results, we demonstrate that this approach increases the sensitivity for detecting low level transcripts and leads to the identification of novel exons and splice isoforms. In Paper III, we highlight the advantages of performing RNA-sequencing on separate cytoplasmic and nuclear RNA fractions. In comparison with conventional poly(A) RNA, cytoplasmic RNA contained a significantly higher fraction of exonic sequence, providing increased sensitivity for splice junction detection and for improved de novo assembly. Conversely, the nuclear fraction showed an enrichment of unprocessed RNA compared to when sequencing total RNA, making it suitable for analysis of RNA processing dynamics. In Paper IV, we used exome sequencing to sequence the DNA of a patient with unexplained intellectual disability and identified a de novo mutation in BAZ1A, which encodes the chromatin-remodeling factor ACF1. Functional studies indicated that the mutation influences the expression of genes involved in extracellular matrix organization, synaptic function and vitamin D3 metabolism. The differential expression of CYP24A, SYNGAP1 and COL1A2 correlated with the patient’s clinical diagnosis. The findings presented in this thesis contribute towards an improved understanding of the human transcriptome in health and disease, and highlight the advantages of developing novel methods to obtain global and comprehensive views of the transcriptome.

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9

Brown, Justin Travis. "MRNA degradation in the control of gene expression in yeast". Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3024999.

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10

Yankulov, Krassimir Yankov. "Regulation of transcriptional elongation by RNA polymerase II". Thesis, Open University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387189.

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Libri sul tema "Gene Expression RNA"

1

Wang, Zhiguo. MicroRNA expression detection methods. Heidelberg: Springer, 2010.

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2

Clouet-d'Orval, Béatrice, a cura di. RNA Metabolism and Gene Expression in Archaea. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65795-0.

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3

Koloteva, Nadejda. Regulation of eukaryotic gene expression via RNA-RNA and RNA-protein interactions. Manchester: UMIST, 1997.

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4

J, Kay, Ballard F. J e Mayer R. J, a cura di. Gene expression: Regulation at the RNA and protein levels. London: Biochemical Society, 1989.

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5

F, Gesteland Raymond, e SpringerLink (Online service), a cura di. Recoding: Expansion of Decoding Rules Enriches Gene Expression. New York, NY: Springer Science+Business Media, LLC, 2010.

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6

NATO/CEC, Advanced Research Workshop on "Post-Transcriptional Control of Gene Expression" (1990 Goslar Germany). Post-transcriptional control of gene expression. Berlin: Springer-Verlag, 1990.

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Next-generation MicroRNA expression profiling technology: Methods and protocols. New York: Humana Press, 2012.

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RNA worlds: From life's origins to diversity in gene regulation. Cold Spring Harbor, N.Y: Cold Spring Harbor Laboratory Press, 2011.

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9

Non coding RNAs in plants. Heidelberg: Springer, 2011.

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Magnusson, Lisa. Global regulation of gene expression in Escherichia coli: The role of ppGpp, DksA, and the levels of RNA polymerase. Göteborg: Göteborgs universitet, 2007.

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Capitoli di libri sul tema "Gene Expression RNA"

1

Chubb, Jonathan R., Michelle Stevense, Danielle Cannon, Tetsuya Muramoto e Adam M. Corrigan. "Imaging Nascent RNA Dynamics in Dictyostelium". In Imaging Gene Expression, 101–13. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-526-2_8.

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Nordström, Kurt, Stanley N. Cohen e Robert W. Simons. "Antisense RNA". In Post-transcriptional Control of Gene Expression, 231–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-60929-9_20.

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3

Glass, R. E., e V. Nene. "Genetic Dissection of E.coli RNA Polymerase". In Gene Manipulation and Expression, 155–72. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-6565-5_12.

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4

Spížek, J., P. Ryšavý, M. Klégr, J. Náprstek, J. Janećek e P. Tichý. "DNA-Dependent RNA Polymerase from Streptomyces Granaticolor". In Gene Manipulation and Expression, 196–208. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-6565-5_15.

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Fladung, Matthias, Hely Häggman e Suvi Sutela. "Application of RNAi technology in forest trees." In RNAi for plant improvement and protection, 54–71. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248890.0054.

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Abstract A diverse set of small RNAs is involved in the regulation of genome organization and gene expression in plants. These regulatory sRNAs play a central role for RNA in evolution and ontogeny in complex organisms, including forest tree species, providers of indispensable ecosystem services. RNA interference is a process that inhibits gene expression by double-stranded RNA and thus causes the degradation of target messenger RNA molecules. Targeted gene silencing by RNAi has been utilized in various crop plants in order to enhance their characteristics. For forest tree species, most of the successful RNAi modification has been conducted in poplar. Over the past 20 years, successful RNAi-mediated suppression of gene expression has been achieved with a variety of economically important traits. Moreover, the stability of RNAi-mediated transgene suppression has been confirmed in field-grown poplars. In this chapter, we describe examples of successful RNAi applications mainly in poplar but also provide some information about application of RNAi in pest control in forest tree species. Advantages and disadvantages of this technology with respect to the particular features of forest tree species will be discussed.

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Fladung, Matthias, Hely Häggman e Suvi Sutela. "Application of RNAi technology in forest trees." In RNAi for plant improvement and protection, 54–71. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248890.0007.

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Abstract A diverse set of small RNAs is involved in the regulation of genome organization and gene expression in plants. These regulatory sRNAs play a central role for RNA in evolution and ontogeny in complex organisms, including forest tree species, providers of indispensable ecosystem services. RNA interference is a process that inhibits gene expression by double-stranded RNA and thus causes the degradation of target messenger RNA molecules. Targeted gene silencing by RNAi has been utilized in various crop plants in order to enhance their characteristics. For forest tree species, most of the successful RNAi modification has been conducted in poplar. Over the past 20 years, successful RNAi-mediated suppression of gene expression has been achieved with a variety of economically important traits. Moreover, the stability of RNAi-mediated transgene suppression has been confirmed in field-grown poplars. In this chapter, we describe examples of successful RNAi applications mainly in poplar but also provide some information about application of RNAi in pest control in forest tree species. Advantages and disadvantages of this technology with respect to the particular features of forest tree species will be discussed.

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Orgel, Leslie E. "Was RNA the First Genetic Polymer?" In Evolutionary Tinkering in Gene Expression, 215–24. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-5664-6_20.

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Politz, Joan C. Ritland, e Thoru Pederson. "Tracking Nuclear Poly(A) RNA Movement Within and Among Speckle Nuclear Bodies and the Surrounding Nucleoplasm". In Imaging Gene Expression, 61–71. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-526-2_5.

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Buff, Maximilian C. R., Stefan Bernhardt, Musa D. Marimani, Abdullah Ely, Joachim W. Engels e Patrick Arbuthnot. "Use of Guanidinopropyl-Modified siRNAs to Silence Gene Expression". In RNA Interference, 217–49. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1538-5_13.

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10

Chamberlin, Michael J., e Lilian M. Hsu. "RNA Chain Initiation and Promoter Escape by RNA Polymerase". In Regulation of Gene Expression in Escherichia coli, 7–25. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4684-8601-8_2.

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Atti di convegni sul tema "Gene Expression RNA"

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Tsers, I., V. Gorshkov, N. Gogoleva e Y. Gogolev. "Revealing the potential “master regulators” of pathogenesis in plants based on RNA-Seq data". In 2nd International Scientific Conference "Plants and Microbes: the Future of Biotechnology". PLAMIC2020 Organizing committee, 2020. http://dx.doi.org/10.28983/plamic2020.254.

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Abstract (sommario):

We propose an algorithm for RNA-Seq data analysis useful for revealing the “master regulators” of gene expression in experimental condition, as well as of cis-elements regulating transcript level of genes from certain groups.

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Harati, Sahar, John H. Phan e May D. Wang. "Investigation of factors affecting RNA-seq gene expression calls". In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944805.

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3

Wang, Tianyu, e Sheida Nabavi. "Differential gene expression analysis in single-cell RNA sequencing data". In 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2017. http://dx.doi.org/10.1109/bibm.2017.8217650.

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4

He, Mu-yang, Hao-jie Cao, Le Wang e Shou-jing Zhao. "Construction of Ginseng CS Gene RNA Interference Plant Expression Vector". In 2012 International Conference on Biomedical Engineering and Biotechnology (iCBEB). IEEE, 2012. http://dx.doi.org/10.1109/icbeb.2012.115.

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5

Po-Yen Wu, J. H. Phan, Fengfeng Zhou e M. D. Wang. "Evaluation of normalization methods for RNA-Seq gene expression estimation". In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112354.

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6

Ei-Wen Yang, Thomas Girkes e Tao Jaing. "Differential gene expression analysis using coexpression and RNA-Seq data". In 2013 IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2013. http://dx.doi.org/10.1109/iccabs.2013.6629222.

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7

Yang, Cheng, Po-Yen Wu, Li Tong, John Phan e May Wang. "The impact of RNA-seq aligners on gene expression estimation". In BCB '15: ACM International Conference on Bioinformatics, Computational Biology and Biomedicine. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808719.2808767.

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8

Agami, Reuven. "Abstract SY43-01: Coordinated gene expression mediated by RNA modifications". In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-sy43-01.

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Henderson, Jonathan T., Garrett Shannon, Alexander I. Veress e Corey P. Neu. "Newly Synthesized RNA and Intranuclear Strain Measurements in Living Cells Maintained Within Native Tissue". In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14202.

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Abstract (sommario):

The nucleus is a regulation center for cellular gene expression 1. Mechanical forces transfer to the nucleus directly and indirectly through cellular cytoskeletal structures and pathways 2, 3. The transmitted strains often cause nuclear deformation which is thought to trigger mechanosensitive gene expression within the nucleus 4. Protein dynamics inside the nucleus are additionally important for maintaining the nuclear structure and in facilitating gene expression at the transcription level 5. Probing spatiotemporal relationships between mechanical forces and localized gene expression (i.e. biophysical and biochemical factors) in the nuclei of cells is important in order to clarify variability observed in large and heterogeneous cell populations within complex tissues. This requires the development of innovative methods for intranuclear strain measurements of cells in situ, and the further capability to quantify associated biochemical responses. This abstract describes a method combining the simultaneous measurement of newly synthesized RNA with spatiotemporal intranuclear strain mapping in single cells embedded in native tissue.

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Han, Ying, Shou-Jing Zhao, Yao Sun e Le Wang. "Regulation Expression of Lipoxygenase Gene in Maize Seeds by RNA Interference". In 2015 International Conference on Medicine and Biopharmaceutical. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814719810_0100.

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Rapporti di organizzazioni sul tema "Gene Expression RNA"

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Ljungman, Mats. Use of Nascent RNA Microarrays to Study Inducible Gene Expression in Breast Cancer Cells. Fort Belvoir, VA: Defense Technical Information Center, settembre 2005. http://dx.doi.org/10.21236/ada443027.

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Vang, Lindsay K., P. Scott Pine, Sarah A. Munro e Marc L. Salit. Preparation of a set of total RNA benchmarking samples for performance assessment of genome-scale differential gene expression. Gaithersburg, MD: National Institute of Standards and Technology, giugno 2017. http://dx.doi.org/10.6028/nist.sp.1200-23.

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