Domena Tu, Rebecca Hunt-Newbury, Cesar Hidalgo, Ian Hope, David Lee, Ryan Viveiros, Albert-Laszlo Barabasi, Anne-Ruxandra Carvunis, John Reece-Hoyes, Denis Dupuy, David Baillie, Nicolas Bertin, Murat Tasan, Donald Moerman, William Mohler, Rock Pulak, Kavitha Venkatesan, Marc Vidal, Frederick Roth, Nenad Svrzikapa
[
International Worm Meeting,
2007]
*The first 3 authors contributed equally. Correspondence should be addressed to any of the last 3 authors. Much of the complexity of metazoan organisms comes from differential expression of genes to drive cell differentiation. Characterizing the transcriptional activity of gene promoters, in time and in space, is therefore a critical step towards understanding complex biological systems. We developed a new application that enables high-throughput fluorescence expression pattern acquisition, using the nematode profiler (COPAS, Union Biometrica). Individual profiles collected from a mixed stage population are arranged by size into post-embryonic expression chronograms. A chronogram provides a reconstituted time-lapse image of gene expression during development from larva to adult across the length of the worm body. This data format allows unsupervised comparison and clustering of expression patterns, while also providing a clear temporal overview of gene expression. We present an analysis of the spatiotemporal activity of ~5% of the predicted C. elegans promoters driving the expression of green fluorescent protein (GFP) in vivo. Automated comparison and clustering of the obtained ~900 chronograms show that genes co-expressed in space and time tend to belong to common functional categories. Moreover, integration of this localizome dataset with C. elegans protein interactome datasets enables prediction of interaction territories between protein partners.