Resources & Tools
Biological systems are networks and in these networks, we can define nodes (e.g., genes, proteins, metabolites) connected through edges (e.g., enzymatic/chemical reactions, transcription regulation). Networks have properties that can be measured using a mathematical approach, and we can make predictions about the evolution of a system based on some of those properties.
A “pathway” in a biological system can be defined as a relatively discrete (though never completely isolated) portion of a network. Generally, we view a pathway as a sequence of gene regulatory and enzymatic reactions that produce some important biological outcomes (e.g., synthesize an energy storage molecule, sense and regulate blood sugar levels).
In this project we will be using network analysis approaches to better understand the evolution and function of biological pathways. The Pathways Project is focused on annotating genes found in well characterized signaling and metabolic pathways across the Drosophila genus. The current focus is on the insulin signaling pathway which is well conserved across animals and critical to growth and metabolic homeostasis. The long-term goal of the Drosophila Pathways Project is to analyze how the regulatory regions of genes evolve in the context of their positions within a network and we anticipate that other pathways will eventually be part of the analyses.
Interactions across the D. melanogaster insulin signaling pathway elements. Arrows (edges) indicate the direction of signal transduction from one node to another.
This walkthrough illustrates how to apply the GEP annotation strategy for the Pathways Project to construct a gene model for the Ras homolog enriched in brain (Rheb) gene in Drosophila yakuba.
The Pathways Annotation Notebook will help GEP students keep track of their work as they are annotating, and then they can use the notebook to fill out the report form.
Students can apply what they learned in the Pathways Project: Annotation Walkthrough to construct a gene model for Rheb in D. pseudoobscura by completing the Pathways Project: Annotation Notebook. An answer key is provided to assist in checking the accuracy of the annotation and includes potential areas of confusion throughout.
GEP students will use the Report Form document to submit their annotation results for the Pathways Project.
GEP students will use the Annotation Report Exemplar to help them submit their annotation results for the Pathways Project.
The Annotation Workflow is a one page summary of the annotation protocol for the Pathways Project. This workflow provides an overview of the key analysis steps and bioinformatics tools for the annotation of a putative ortholog.
completion recommended in order from left to right, top to bottom
This module introduces students to the UCSC Genome Browser. After completing this module students will be able to navigate to a genomic region and to control the display setting for different evidence tracks. Additionally, students will be able to explain the relationships among DNA, pre-mRNA, and protein.
This module uses mRNA data to identify splice sites. After completing this module students will be able to identify intron-exon boundaries using canonical splice donor and acceptor sequences and determine which are best supported by RNA-Seq and TopHat splice junction predictions.
In this module students will learn how mRNA is translated into a string of amino acids. After completing this module students will be able to determine the codons for specific amino acids as well as start and stop codons. They will be able to identify open reading frames for a given gene, define the phases of splice donor and acceptor sites and describe how they impact the maintenance of the open reading frame.
This module explores how multiple different mRNAs and polypeptides can be encoded by the same gene. After completing this module students will be able to explain how alternative splicing of a gene can lead to different mRNAs and illustrate how alternative splicing can lead to the production of different polypeptides and result in drastic changes in phenotype.
This PowerPoint presentation provides a brief introduction to the different types of RNA-Seq evidence tracks (e.g. Bowtie, TopHat, Cufflinks) that are on the GEP UCSC Genome Browser.
This walkthrough serves as an introduction to key functionalities of NCBI BLAST.