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Protein Functional Annotation - Institute for Genome Sciences
Protein Functional Annotation - Institute for Genome Sciences

... anything (another protein, an HMM, etc.) is removed. If both don’t match anything, other considerations such as presence in a putative operon and potential start codon quality are considered. Small regions of overlap are allowed (circle).! ...
Testing Gene Expression by Reverse Transcriptase PCR (rt
Testing Gene Expression by Reverse Transcriptase PCR (rt

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All 3 fates of pyruvate from glycolysis provide for the regeneration of
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... Insulin reduces glucose in the blood and stimulates conversion of glucose to fats, proteins, ribulose 5-phosphate and glycogen; inhibits the conversion of fats, proteins, glycogen and ribulose 5-phosphate to glucose ...
View Full Text-PDF
View Full Text-PDF

... one of the most widely used techniques in molecular biology because it is quick, inexpensive and simple. In this study, two techniques were used for the detection by PCR: multiplex and uniplex. This technique is very sensitive, easy to perform, specific for gene families and very efficient compared ...
LYTIC AND LYSOGENIC CYCLES
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Chapter 10
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SP1 Protein production order form
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... The typical eukaryotic cell cycle comprises two major stages: The interphase and the mitotic phase or M-phase (fig. 1A) (Mitchison 1971). Interphase is further separated into the synthesis (S-) phase, during which the genome is replicated, and the gap (G-) phases, G1 and G2 (Norbury and Nurse 1992). ...
SUPPLEMENTAL DATA FOR DUPLICATED SACCHAROMYCES
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... glycogen synthase kinase-3 (GSK-3) homologues. MCK1 is involved in control of chromosome segregation and regulation of entry into meiosis ([9-11]; for review see [12]). MCK1 down-regulates pyruvate kinase [13] that involves inhibition of a cAMPdependent protein kinase [14]. MCK1 also has a role in r ...
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Comparison of environmental and isolate Sulfobacillus genomes
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A Protein Extract from Chicken Reduces Plasma Homocysteine in Rats
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RNA Class: The Classification
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Cracking the PPR code: predicting and manipulating protein/RNA
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... All these past attempts to create novel-coloured flowers have focused on the manipulation of the flavonoid pigmentation pathways that exist in flowers (Elomaa and Holton, 1994; Forkmann and Martens, 2001). To create black flowers, for example, researchers tried to increase the concentrations of fl ...
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Adaptation Processes in Alakaliphiles When Cell Wall

... Many alkaliphilic microorganisms have been isolated from soils taken from several areas with various different environmental conditions. For the isolation, the alkaliphiles have been selected using alkaline complex media that are highly nutritive. One of the typical isolation media is composed of 1% ...
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Gene regulatory network



A gene regulatory network or genetic regulatory network (GRN) is a collection of regulators thatinteract with each other and with other substances in the cell to govern the gene expression levels of mRNA and proteins.The regulator can be DNA, RNA, protein and their complex. The interaction can be direct or indirect (through their transcribed RNA or translated protein).In general, each mRNA molecule goes on to make a specific protein (or set of proteins). In some cases this protein will be structural, and will accumulate at the cell membrane or within the cell to give it particular structural properties. In other cases the protein will be an enzyme, i.e., a micro-machine that catalyses a certain reaction, such as the breakdown of a food source or toxin. Some proteins though serve only to activate other genes, and these are the transcription factors that are the main players in regulatory networks or cascades. By binding to the promoter region at the start of other genes they turn them on, initiating the production of another protein, and so on. Some transcription factors are inhibitory.In single-celled organisms, regulatory networks respond to the external environment, optimising the cell at a given time for survival in this environment. Thus a yeast cell, finding itself in a sugar solution, will turn on genes to make enzymes that process the sugar to alcohol. This process, which we associate with wine-making, is how the yeast cell makes its living, gaining energy to multiply, which under normal circumstances would enhance its survival prospects.In multicellular animals the same principle has been put in the service of gene cascades that control body-shape. Each time a cell divides, two cells result which, although they contain the same genome in full, can differ in which genes are turned on and making proteins. Sometimes a 'self-sustaining feedback loop' ensures that a cell maintains its identity and passes it on. Less understood is the mechanism of epigenetics by which chromatin modification may provide cellular memory by blocking or allowing transcription. A major feature of multicellular animals is the use of morphogen gradients, which in effect provide a positioning system that tells a cell where in the body it is, and hence what sort of cell to become. A gene that is turned on in one cell may make a product that leaves the cell and diffuses through adjacent cells, entering them and turning on genes only when it is present above a certain threshold level. These cells are thus induced into a new fate, and may even generate other morphogens that signal back to the original cell. Over longer distances morphogens may use the active process of signal transduction. Such signalling controls embryogenesis, the building of a body plan from scratch through a series of sequential steps. They also control and maintain adult bodies through feedback processes, and the loss of such feedback because of a mutation can be responsible for the cell proliferation that is seen in cancer. In parallel with this process of building structure, the gene cascade turns on genes that make structural proteins that give each cell the physical properties it needs.It has been suggested that, because biological molecular interactions are intrinsically stochastic, gene networks are the result of cellular processes and not their cause (i.e. cellular Darwinism). However, recent experimental evidence has favored the attractor view of cell fates.
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