Project description:Metabolite extracts were collected for 86 inducible overexpression strains in Saccharomyces cerevisiae in the presence and absence of inducer. Induction was carried out for 1.5 hours prior to metabolite extraction. Extracts were subjected to flow injection analysis.
Project description:This SuperSeries is composed of the following subset Series: GSE14559: Timed induction of 50 transcription factors in ES cells reveals a common mechanism to initiate differentiations GSE14586: Cdx2 Binding Sites On Cdx2 Expressing ES Cells GSE16148: Timed induction of 10 transcription factors - ES time series data Refer to individual Series
Project description:Metabolite extracts were collected for 86 inducible overexpression strains in Saccharomyces cerevisiae in the presence and absence of inducer. Induction was carried out for 1.5 hours prior to metabolite extraction. Extracts were subjected to flow injection analysis.
Project description:Exogenous overexpression of CEBPA transcription factor induces transdifferentiation from pro B cells into functional macrophages. Here we report the CEBPA binding ChIP-Seq data at 12 hours time point after induction of transdifferentiation in human BLaER1 cells (Rapino et al. 2013).
Project description:ALL is the most common form of childhood cancer with >80% cured with contemporary treatment protocols. Accurate risk stratification in childhood ALL is essential to avoid under- and over-treatment. Currently, we use presenting clinical, biological features, and minimal residual disease (MRD) quantitation to risk stratify patients. Although whole genome gene expression profiling (GEP) can accurately classify patients with ALL into various WHO 2008 defined subgroups, its value in predicting relapse remained to be defined. We hypothesized that global time-series GEPs of bone marrow (BM) samples at diagnosis and specific points during initial remission-induction therapy can measure the success of cytoreduction and be used for relapse prediction. We generated time-series GEPs from 210 children with de novo ALL at diagnosis, and Day 8 of remission-induction therapy. We computed the time-series changes from diagnosis to follow-up time point of remission-induction, termed Effective Response Metric (ERM), that measures both the magnitude and direction of time-series change in multi-dimensional gene space towards the normal centroid, and we compared its ability to predict relapse against contemporary risk assignment methods including NCI criteria, cytogenetics and MRD.