PPT-Gene Expression

Tonya C Bates Erin Dolan Meredith S Norris John Rose Tarren Shaw Suann Yang Ron Zimmerman Facilitators Kelly Hogan and Jennifer Warner Gene Expression Topic Genetic Regulation Context Large lecture section of introductory biology students . Inducible gene expression. kinetics of . β-galactosidase. enzyme induction. Add inducer. start transcription = mRNA accumulation. mRNA translation = protein accumulation. Remove inducer. Stop. transcription (. Understanding:. Gene expression is regulated by proteins that bind to specific base sequences in DNA . The environment of a cell and of an organism has an impact on gene expression. Nucleosomes help to regulate transcription in eukaryotes. Adam Stevens, Daniel Hanson, Andrew . Whatmore. , Benoit . Destenaves. , Pierre . Chatelain. , Peter . Clayton. Supplementary Information: . Introduction. In this Supplementary Information we make available additional data that were discussed in the main manuscript. . Zymogen. Granule Protein (G3MZ19) homologue in the Bali cattle (. Bos. . javanicus. ) Saliva. Sulaiman. . Ngongu. . Depamede. Faculty of Animal Science. and Consortium for Large Ruminant Research, . Stephen Montgomery. smontgom@stanford.edu. montgomerylab.stanford.edu. @. sbmontgom. Identifying the genes and variants responsible for disease.. Monogenic to polygenic diseases. Rare to common variants. Advances in Gene Expression Science . Allow Scientists to Compare & Contrast . Expression Patterns of two Biological States. Biological State #1. Biological State #2 State. Comparison of Genetic Profiles of Adipose Tissue in Identical Twins . . Differential . expression, clustering, networks, and functional enrichment. STEMREM 201 Fall 2012. Aaron . Newman, Ph.D.. 10/17/12. A . genomics approach . to . biology involves…. A plethora of . CSCOPE. Unit: 08 Lesson: 01. There are hundreds of different types of cells in your body, and each type has a unique function. We’re going to compare some different types of cells to see how much they have in common. . TUMOR SUPRESSOR PROTEINS. ATP. ENZYMES THAT CONTROL CELLULAR RESPIRATION. ADAPTIVE GENE PRODUCTS ARE ONLY REQUIRED UNDER CERTAIN CONDITIONS. GENES FOR PROTEIN DIGESTION ARE TURNED OFF WHEN THERE IS NO PROTEIN AVAILABLE. . Draw 8 boxes on your paper. Gene regulation accounts for some of the phenotypic differences between organisms with similar genes.. 2005-2006. Gene regulation in bacteria. Control of gene expression enables individual bacteria to adjust their metabolism to environmental change. RNA can destabilize mRNA. Single-stranded RNA can affect gene expression. Double-stranded RNA can affect gene expression. All of above. . Before their study, it is known that. Single stranded RNA can cause RNA interference.  which is designed to allow . expression.  (. transcription.  and . translation. ) of the inserted section of . DNA. . The . vector.  carries a . promoter.  (normally inducible) on one side of the . Pearley Chinta and Juliet V. Spencer . Abstract. Methods. Results. Conclusions. HCMV is a widespread pathogen in the general population and can cause severe disease in immune-compromised hosts. HCMV manipulates immune responses in several ways, one of which includes encoding genes with homology to host chemokine receptors. HCMV US27 encodes a chemokine-like receptor that stimulates host gene expression. While, no chemokine ligand has been identified for US27, it is constitutively active. US27 stimulates the gene expression of antioxidant response element (ARE) regulated genes by activation of the transcription factor nuclear respiratory factor 1 (NRF-1). The goal of this project is to identify specific host and viral genes that are regulated by US27. Increased expression of antioxidant genes is likely to benefit virus infection and enable more progeny virus to be produced. Thus, a better understanding of the US27 function has the potential to lead to the development of novel antiviral therapies necessary to treat HCMV infection. . What is measured by microarrays?. Microarray normalization. Differential gene expression (DE) analysis based on microarray data. Detection of outliers. RNAseq. data. DE analysis based on . RNAseq. data.