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Powerpoint for Lecture 12
Powerpoint for Lecture 12

... Steps in the Blast algorithm (Blastp) 1.sequence is filtered to remove low complexity regions 2.list of words of length 3 in the query protein sequence is made ( length 11-12 for DNA sequences). 3.words are evaluated for matches with any other combination of 3 amino amino acids using Blosum 62 scor ...
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... cellular defense response response to drug drug susceptibility/resistance * cell-cell adhesion * homophilic cell adhesion * response to abiotic stimulus response to chemical substance ...
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... neurones as glutamine d. help in energy supply to neurones-take up glucose at blood vessels, export it as lactate to neurones. Or derived from glycogen 5. Metabotropic receptors in the CNS largely signal through heterotrimeric G proteins. Briefly describe FIVE downstream results which may result fro ...
Gene Section EIF3C (eukaryotic translation initiation factor 3, subunit C)
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... sequence of events mediated by the interaction of eIF3 with phosphorylated mTOR. Multiple interactions by eIF3 subsequently take place during the progression of protein translation initiation including the proper positioning of the preinitiation complex on the 40S ribosome mediated by eIF3. EIF3c ha ...
Introduction to Algorithm
Introduction to Algorithm

... of data including nucleotide and amino acid sequences, protein domains, and protein structures; and the development and implementation of tools that enable efficient access and management of different types of information.” (NCBI)  "I do not think all biological computing is bioinformatics, e.g. ma ...
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... What is the advantage of these cells over other neurons or organs in terms of transplants? These transplanted cells will not be rejected (destroyed by the immune system) because they are genetically identical to the patient (your antibodies will not bind to them). ...
The target of personalized medicine moves ever closer
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... stranded break (DSB) in the DNA, which can be repaired by non­homologous end joining (NHEJ). As NHEJ is an error­prone DNA repair process, insertions and deletions (indels) are often introduced into the gene, resulting in frameshifts and potential loss of gene function. It is often necessary to dete ...
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Gene Cloning
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GEM_McMullen_05
GEM_McMullen_05

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transcription and rna

... THE CENTRAL DOGMA Defining gene function Refining definition of gene 1909: “the fundamental unit of heredity” 1953:-present: “segment of DNA transcribed into RNA” Central dogma: DNA  RNA  protein Transcription: DNA information template for RNA synthesis Many genes encode proteins Some genes encode ...
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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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