Dupuy Denis, Bertin Nicolas, Hidalgo César A, Venkatesan Kavitha, Tu Domena, Lee David, Rosenberg Jennifer, Svrzikapa Nenad, Blanc Aurélie, Carnec Alain, Carvunis Anne-Ruxandra, Pulak Rock, Shingles Jane, Reece-Hoyes John, Hunt-Newbury Rebecca, Viveiros Ryan, Mohler William A, Tasan Murat, Roth Frederick P, Le Peuch Christian, Hope Ian A, Johnsen Robert, Moerman Donald G, Barabási Albert-László, Baillie David, Vidal Marc
Center for Cancer Systems Biology, Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02115, USA.
Nat Biotechnol. 2007 Jun;25(6):663-8. doi: 10.1038/nbt1305. Epub 2007 May 7.
Differential regulation of gene expression is essential for cell fate specification in metazoans. Characterizing the transcriptional activity of gene promoters, in time and in space, is therefore a critical step toward understanding complex biological systems. Here we present an in vivo spatiotemporal analysis for approximately 900 predicted C. elegans promoters (approximately 5% of the predicted protein-coding genes), each driving the expression of green fluorescent protein (GFP). Using a flow-cytometer adapted for nematode profiling, we generated 'chronograms', two-dimensional representations of fluorescence intensity along the body axis and throughout development from early larvae to adults. Automated comparison and clustering of the obtained in vivo expression patterns show that genes coexpressed in space and time tend to belong to common functional categories. Moreover, integration of this data set with C. elegans protein-protein interactome data sets enables prediction of anatomical and temporal interaction territories between protein partners.
基因表达的差异调控对于后生动物的细胞命运决定至关重要。因此,在时间和空间上表征基因启动子的转录活性是理解复杂生物系统的关键一步。在此,我们展示了一种针对约900个预测的秀丽隐杆线虫启动子(约占预测蛋白质编码基因的5%)的体内时空分析,每个启动子驱动绿色荧光蛋白(GFP)的表达。使用适用于线虫分析的流式细胞仪,我们生成了“时间图谱”,即沿着身体轴线以及从幼虫早期到成虫的整个发育过程中荧光强度的二维表示。对获得的体内表达模式进行自动比较和聚类表明,在空间和时间上共表达的基因往往属于共同的功能类别。此外,将该数据集与秀丽隐杆线虫蛋白质 - 蛋白质相互作用组数据集整合,能够预测蛋白质伙伴之间的解剖学和时间相互作用区域。