PPT-Gene Expression AP Biology

Questions to Ponder How do your cells know what kind of cell they are How do your cells know when to make a particular protein When to stop making it How does the environment affect your cells. Inducible gene expression. kinetics of . β-galactosidase. enzyme induction. Add inducer. start transcription = mRNA accumulation. mRNA translation = protein accumulation. Remove inducer. Stop. transcription (. limma. package. 20 March 2012. Functional Genomics. Linear regression. Fit a straight line through a set of points such that the distance from the points to the line is minimized. The slope of the line is adjusted to minimize the . Bing Zhang. Department of Biomedical Informatics. Vanderbilt University. bing.zhang@vanderbilt.edu. Overall workflow of gene expression studies. Microarray. Biological question. Experimental . design. What does the operon model attempt to explain?. the coordinated control of gene expression . in bacteria. bacterial resistance to antibiotics. how genes move between homologous regions of DNA. the mechanism of viral attachment to a host cell. 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. . in wounds undergoing negative pressure wound therapy. Nate . Stearrett. (presentation format shamelessly stolen from Jeff . Elhai. ). Chronic Wounds. http://wjes.biomedcentral.com/articles/10.1186/1749-7922-2-10. Waddington, 1942. “The study of any potentially stable, and ideally, heritable change in gene expression or cellular phenotype that occurs without changes in Watson-Crick base-pairing of . DNA” . Gene Expression. Gene Expression. Transcription. Splicing. Polyadenylation. mRNA Stability. Translation. Protein Stability. Controls on Protein Levels. Transcription Control - Prokaryotic Promoter. Transcription Control - Prokaryotic Promoter. Controlling gene expression is often accomplished by controlling transcription initiation.. Regulatory proteins . bind to DNA to either block or stimulate transcription, depending on how they interact with RNA polymerase.. Drosophila. Embryos using . lacZ. Transgenes. June 18. th. ABLE 2014. University of Oregon, Eugene. Cathy Silver Key. Julie Gates. Jessica Sawyer. Kirsten . Guss. Acknowledgements. Funding from . Roberta . RVS Pawaiya, UB . Chaudhary. , . Nitika. Sharma and N. . Shivasharanappa. Central Institute for Research on Goats. Makhdoom. , P.O. Farah – 281122. Mathura, Uttar Pradesh (India). The complete sequencing of the human genome has ushered in a new era of systems biology referred to as . Sylvia Plevritis, PhD. Course Director. Melissa . Ko. Teaching Assistant. Fuad. . Nijim. CCSB Program Manager. March 31, 2014. Goals of CBIO243. Introduce major principles of cancer systems biology that integrate experimental and computational biology.. 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.