Project description:In this work, we use RNAi and subsequent RNA isolation and Affymetrix Expression array analysis to map the genome-wide transcriptional targets of 107 of the strongest cell cycle regulators. Drosophila S2 cells were used with RNAi target gene knockdown compared to control (GFP dsRNA). RMA normalized data re-annotated using a custom CDF is available on the FTP site for this experiment. E-MTAB-1648, E-MTAB-1364 and E-MTAB-453 are all data from: Bonke M, et al. (2013) Transcriptional networks controlling the cell cycle. G3 (Bethesda) 3, 75-90, PMID: 23316440.
Project description:Transcription profiling by RNA-seq of Drosophila S2 cells after knock down of strongest cell cycle regulators to map their genome-wide transcriptional targets (155 assays). RNA samples used for this experiment are a subset of the 200 samples used in Affymetrix microarray experiment E-MTAB-453. E-MTAB-1648, E-MTAB-1364 and E-MTAB-453 are all data from: Bonke M, et al. (2013) Transcriptional networks controlling the cell cycle. G3 (Bethesda) 3, 75-90, PMID: 23316440.
Project description:Our study reveals that RSK inhibition reprograms kinase networks to enforce stress adaptation, maintaining oncogenic homeostasis despite perturbations. These findings highlight a potential therapeutic window for early intervention strategies, suggesting that combination strategies may enhance the efficacy of RSK-directed therapies in ESCC.
Project description:Our study reveals that RSK inhibition reprograms kinase networks to enforce stress adaptation, maintaining oncogenic homeostasis despite perturbations. These findings highlight a potential therapeutic window for early intervention strategies, suggesting that combination strategies may enhance the efficacy of RSK-directed therapies in ESCC.
Project description:Retrograde signaling from axon to soma activates intrinsic regeneration mechanisms in lesioned peripheral sensory neurons; however, the links between axonal injury signaling and the cell body response are not well understood. Here, we used phosphoproteomics and microarrays to implicate ~900 phosphoproteins in retrograde injury signaling in rat sciatic nerve axons in vivo and ~4500 transcripts in the in vivo response to injury in the dorsal root ganglia. Computational analyses of these data sets identified ~400 redundant axonal signaling networks connected to 39 transcription factors implicated in the sensory neuron response to axonal injury. Experimental perturbation of individual overrepresented signaling hub proteins, including Abl, AKT, p38, and protein kinase C, affected neurite outgrowth in sensory neurons. Paradoxically, however, combined perturbation of Abl together with other hub proteins had a reduced effect relative to perturbation of individual proteins. Our data indicate that nerve injury responses are controlled by multiple regulatory components, and suggest that network redundancies provide robustness to the injury response Microarrays were run on mRNA extracted from adult rat L4 and L5 DRGs cells after 1,3,8,12,16,18,24, and 28 hours after a sciatic nerve (proximal and distal) lesion.
Project description:Phosphoproteomics was performed to generate a comprehensive resource for mapping protein abundance and phosphorylation dynamics across the life cycle of haploid Saccharomyces cerevisiae. Our dataset includes not only the exponential growth phase and the diauxic shift, but also the less understood post-diauxic growth phase and the stationary phase. Our dataset recapitulates well-known phospho-regulation events and expands our knowledge about the number of proteins that are differentially phosphorylated.
Project description:Transcription profiles across the yeast cell cycle. W303a cells were arrested with alpha factor in YEPD media. After release from arrest cells were sampled every 5 min for 2 hr. Keywords: cell cycle
Project description:Protein kinase CK2 is a conserved serine/threonine kinase that participates in various cellular processes. Chromatin immunoprecipitation-sequencing profiling demonstrated recruitment of CK2α to the active gene locus, more abundantly in late G1 phase than in early G1. We analyzed the transcriptome of RPE wt and CK2α-ko cells, both arrested in early and late G1 during progression of the cell cycle. This study suggests that nuclear CK2α complexes, uniquely constituted during cell cycle progression, are essential for cell proliferation, by activating genes and synthesizing components necessary for cell division, specified in the nucleus and nucleolus.
Project description:The packaging of DNA into nucleosomes influences the accessibility of underlying regulatory information. Nucleosome occupancy and positioning are best characterized in the budding yeast Saccharomyces cerevisiae, albeit in asynchronous cell populations or on individual promoters such as PHO5 and GAL1–10. Using FAIRE (formaldehyde-assisted isolation of regulatory elements) and whole-genome microarrays, we examined changes in nucleosome occupancy throughout the mitotic cell cycle in synchronized populations of S. cerevisiae. Perhaps surprisingly, nucleosome occupancy did not exhibit large, global variation between cell cycle phases. However, nucleosome occupancy at the promoters of cell cycle–regulated genes was reduced specifically at the cell cycle phase in which that gene exhibited peak expression, with the notable exception of S-phase genes. We present data that establish FAIRE as a high-throughput method for assaying nucleosome occupancy. For the first time in any system, nucleosome occupancy was mapped genome-wide throughout the cell cycle. Fluctuation of nucleosome occupancy at promoters of most cell cycle–regulated genes provides independent evidence that periodic expression of these genes is controlled mainly at the level of transcription. The promoters of G2/M genes are distinguished from other cell cycle promoters by an unusually low baseline nucleosome occupancy throughout the cell cycle. This observation, coupled with the maintenance throughout the cell cycle of the stereotypic nucleosome occupancy states between coding and non-coding loci, suggests that the largest component of variation in nucleosome occupancy is “hard wired,” perhaps at the level of DNA sequence. Keywords: FAIRE