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Title:   Author  item
                                            CALDO, RICO - IOWA STATE UNIVERSITYitem
                                            NETTLETON, DAN - IOWA STATE UNIVERSITYitem
                                            TURNER, STACY - IOWA STATE UNIVERSITYitem
                                            ASHLOCK, DANIEL - IOWA STATE UNIVERSITYitem
                                            DICKERSON, JULIE - IOWA STATE UNIVERSITYitem
                                            Wise, Roger
  Submitted to: Keystone Symposia
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 3/10/2003
                                    Publication  Date: 4/10/2003
                                    Citation: CALDO, R., NETTLETON, D., TURNER, S., ASHLOCK, D., DICKERSON, J., WISE, R.P. COMPREHENSIVE TRANSCRIPTIONAL PROFILING OF BARLEY-POWDERY MILDEW INTERACTIONS USING AFFYMETRIX GENECHIPS. AVAILABLE FROM: http://www.keystonesymposia.org/Meetings/ViewMeetings.cfm?MeetingID=658. KEYSTONE SYMPOSIA. 2003.Interpretive Summary:
                                Technical Abstract: Host responses to the invading pathogens are controlled by complex regulatory pathways and accompanied by regulated expression of many genes.  Advances in the field of transcriptional profiling provide tools for large-scale analysis of gene expression and make possible new ways to understand how genes contribute to complex phenotypes.  In this study, oligo-based Affymetrix barley GeneChip arrays representing 22,700 genes are being used to study the molecular mechanisms of disease resistance, susceptibility, and cell death.  Time course expression profiling is being performed with plants containing the Mla6 and Mla13 resistance specificities, and programmed-cell-death mutants derived from the parental line containing Mla6, in response to the powdery mildew isolates 5874 (AvrMla6, virMla13) and K1 (AvrMla13, virMla6).  Our goal is to identify induced/repressed genes at different time points after pathogen infection to provide a molecular description of the events orchestrating incompatible and compatible barley-powdery mildew interactions.  In addition, this project will create an on-line interactive database, BarleyBase, and develop a set of web-accessible tools for the analysis of Affymetrix GeneChip data.  BarleyBase will feature "click through" integration of web-base data sets, and it will be interoperable with the Gramene comparative mapping resource for grains (http://www.gramene.org/).  The web-based analysis tools will enable database users to perform meta-analysis of gene expression in response to a particular treatment.


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