Data-mining the FlyAtlas online resource to identify core functional motifs across transporting epithelia.

ABSTRACT:

Background

Comparative analysis of tissue-specific transcriptomes is a powerful technique to uncover tissue functions. Our FlyAtlas.org provides authoritative gene expression levels for multiple tissues of Drosophila melanogaster (1). Although the main use of such resources is single gene lookup, there is the potential for powerful meta-analysis to address questions that could not easily be framed otherwise. Here, we illustrate the power of data-mining of FlyAtlas data by comparing epithelial transcriptomes to identify a core set of highly-expressed genes, across the four major epithelial tissues (salivary glands, Malpighian tubules, midgut and hindgut) of both adults and larvae.

Method

Parallel hypothesis-led and hypothesis-free approaches were adopted to identify core gene

SUBMITTER: Chintapalli VR 

PROVIDER: S-EPMC3734111 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature