In past years, much attention has focused on the gene networks that regulate early developmental processes, but less attention has been paid to how multiple networks and processes are temporally coordinated. Recently the discovery of the transcriptional activator Zelda (Zld), which binds to CAGGTAG and related sequences present in the enhancers of many early-activated genes in Drosophila, hinted at a mechanism for how batteries of genes could be simultaneously activated. Here we use genome-wide binding and expression assays to identify Zld target genes in the early embryo with the goal of unraveling the gene circuitry regulated by Zld. We found that Zld binds to genes involved in early developmental processes such as cellularization, sex determination, neurogenesis, and pattern formation. In the absence of Zld, many target genes failed to be activated, while others, particularly the patterning genes, exhibited delayed transcriptional activation, some of which also showed weak and/or sporadic expression. These effects disrupted the normal sequence of patterning-gene interactions and resulted in highly altered spatial expression patterns, demonstrating the significance of a timing mechanism in early development. In addition, we observed prevalent overlap between Zld-bound regions and genomic “hotspot” regions, which are bound by many developmental transcription factors, especially the patterning factors. This, along with the finding that the most over-represented motif in hotspots, CAGGTA, is the Zld binding site, implicates Zld in promoting hotspot formation. We propose that Zld promotes timely and robust transcriptional activation of early-gene networks so that developmental events are coordinated and cell fates are established properly in the cellular blastoderm embryo.

Transcription factors and microRNAs (miRNAs) are two important classes of trans-regulators in differential gene expression. Transcription factors occupy cis-regulatory motifs in DNA to activate or repress gene transcription, whereas miRNAs specifically pair with seed sites in target mRNAs to trigger mRNA decay or inhibit translation. Dynamic spatiotemporal expression patterns of transcription factors and miRNAs during development point to their stage-and tissuespecific functions. Recent studies have focused on miRNA functions during development; however, much remains to explore regarding how the expression of miRNAs is initiated and how dynamic miRNA expression patterns are achieved by transcriptional regulatory networks at different developmental stages. Here, we focused on the identification, regulation and function of miRNAs during the earliest stage of Drosophila development, when the maternal-tozygotic transition (MZT) takes place. Eleven miRNA clusters comprise the first set of miRNAs activated in the blastoderm embryo. The transcriptional activator Zelda is required for their proper activation and regulation, and Zelda binding observed in genome-wide binding profiles is predictive of enhancer activity. In addition, other blastoderm transcription factors, comprising both activators and repressors, the activities of which are potentiated and coordinated by Zelda, contribute to the accurate temporal and spatial expression of these miRNAs, which are known to function in diverse developmental processes. Although previous genetic studies showed no early phenotypes upon loss of individual miRNAs, our analysis of the miR-1; miR-9a double mutant revealed defects in gastrulation, demonstrating the importance of co-activation of miRNAs by Zelda during the MZT.

Cancer is an extremely diverse and complex disease that results from various genetic and epigenetic changes such as DNA copy-number variations, mutations, and aberrant mRNA and/or protein expression caused by abnormal transcriptional regulation. The expression profiles of certain microRNAs (miRNAs) and messenger RNAs (mRNAs) are closely related to cancer progression stages. In the past few decades, DNA microarray and next-generation sequencing techniques have been widely applied to identify miRNA and mRNA signatures for cancers on a genome-wide scale and have provided meaningful insights into cancer diagnosis, prognosis and personalized medicine. In this review, we summarize the progress in genome-wide analysis of miRNAs and mRNAs as cancer biomarkers, highlighting their diagnostic and prognostic roles.

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