The Expresso Microarray Experiment Management System: The Functional Genomics of Stress Responses in Loblolly Pine

TL;DR

This paper introduces Expresso, a comprehensive system for managing microarray experiments, which streamlines data acquisition, analysis, and mining to study stress responses in loblolly pine, revealing key molecular mechanisms.

Contribution

The paper presents Expresso, a novel microarray experiment management system integrating data processing, quality control, and analysis tools with inductive logic programming capabilities.

Findings

Identification of molecular chaperones involved in drought stress response

Discovery of membrane transport proteins' role in adaptation

Effective management of microarray data enhances biological insights

Abstract

Conception, design, and implementation of cDNA microarray experiments present a variety of bioinformatics challenges for biologists and computational scientists. The multiple stages of data acquisition and analysis have motivated the design of Expresso, a system for microarray experiment management. Salient aspects of Expresso include support for clone replication and randomized placement; automatic gridding, extraction of expression data from each spot, and quality monitoring; flexible methods of combining data from individual spots into information about clones and functional categories; and the use of inductive logic programming for higher-level data analysis and mining. The development of Expresso is occurring in parallel with several generations of microarray experiments aimed at elucidating genomic responses to drought stress in loblolly pine seedlings. The current experimental design incorporates 384 pine cDNAs replicated and randomly placed in two specific microarray layouts. We describe the design of Expresso as well as results of analysis with Expresso that suggest the importance of molecular chaperones and membrane transport proteins in mechanisms conferring successful adaptation to long-term drought stress.