Project description:High-temporal resolution profiling was performed on U2OS fibroblasts to detect rhythmic transcripts Keywords: time course Samples were collected every hour for 48 hours from dexamethasone-synchronized U2OS cells. Cells synchronized with dexamethasone for 24 hours, and harvested from the 24th to 71st hour. Samples were analyzed using Affymetrix arrays.
Project description:High-temporal resolution profiling was performed on mouse liver to detect rhythmic transcripts Experiment Overall Design: Samples were collected every hour for 48 hours from 3-5 mice per time point from liver. Samples were pooled and analyzed using Affymetrix arrays.
Project description:This SuperSeries is composed of the following subset Series: GSE29642: Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis (time series) GSE39597: Arabidopsis defense against Botrytis cinerea: chronology and regulation deciphered by high-resolution temporal transcriptomic analysis (tga3-2 knockout data) Refer to individual Series
Project description:Zygotic genome activation (ZGA) is a complex process which denotes the initiation of gene expression after fertilization. Deciphering the proper timing and genes involved in ZGA program is still a fundamental challenge in early embryo development. Here, we present a new ZGA gene identification framework, named ZGA-Timer, based on the timecourse pattern from RNA-seq data. By performing ZGA-Timer and siRNA technology, we confirmed Uqcc3 as a novel ZGA gene in mice. As a unique feature of ZGA-Timer, time-series RNA-seq data are modeled by a pattern recognition method and the onset of ZGA can be estimated in multiple species. ZGA-Timer outperforms current foldchange-based approaches. Furthermore, we investigate the epigenetic modifications and find that accessible chromatin predominately contributes to the regulation of ZGA genes. Moreover, ZGA genes show significant enrichment in housekeeping genes and cancer driver genes. Together, our ZGA-Timer framework provides a new approach to further understand the ZGA process.
Project description:The Xenopus mid-blastula transition (MBT) marks the onset of large-scale zygotic transcription, as well as an increase in cell cycle length and a loss of synchronous cell divisions. Little is known about what triggers the activation of transcription or how newly expressed genes interact with each other. Here we use high-resolution expression profiling to identify three waves of gene activity: a post-fertilization wave involving polyadenylation of maternal transcripts; a broad wave of zygotic transcription detectable as early as the 7th cleavage and extending beyond the MBT at the 12th cleavage; and a shorter post-MBT wave of transcription that becomes apparent as development proceeds. Our studies have also allowed us to define a set of maternal genes whose mRNAs are deadenylated shortly after fertilization, and are likely to be degraded thereafter. Experimental analysis indicates that the polyadenylation of maternal transcripts is necessary for the establishment of proper levels of zygotic transcription at the MBT, and that genes activated in the second wave of expression, including Brachyury and Mixer, contribute to the regulation of genes expressed in the third. Together, our high-resolution time series and experimental studies have yielded a deeper understanding of the temporal organization of gene regulatory networks in the early Time series polyA+ and RiboZero RNA sequencing of Xenopus Embryos covering 0-9.5 hours post fertilization