Elucidating altered transcriptional programs

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Knapik, Júlio César Rodrigues de Azevedo, Jorge Costa Pereira Identification of essential language areas by combination of f MRI from different tasks using probabilistic independent component analysis Yanmei Tie, Ralph O. (2007) Elucidating the Altered Transcriptional Programs in Breast Cancer Using Independent Component Analysis. https://doi.org/10.1371/0030161 has been cited by the following article: Evaluation of Dissolved Organic Carbon Using Synchronized Fluorescence Emission Spectra and Unsupervised Method of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) Tais Cristina Filippe, Luana Mayumi Takahasi Marques, Heloise G. Golby Short-Term Financial Time Series Forecasting Integrating Principal Component Analysis and Independent Component Analysis with Support Vector Regression Utpala Nanda Chowdhury, Sanjoy Kumar Chakravarty, Md.Coordinated experiments focused on transcriptional responses and chromatin states are well-equipped to capture different epigenomic and transcriptomic levels governing the circuitry of a regulatory network.

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By investigating complementary omics levels, a close teamwork of the transcriptional and epigenomic machinery was discovered.

Furthermore, gene expression data contains valuable directional information indicated by arrows next to the gene expression data utilized by URA (blue), which incorporates hierarchical systems biology networks.

The core analysis of the workflow includes multi-omics data integration between chromatin binding and differential gene expression events The combination of both transcriptomic and epigenomic profiling offers insight into different levels of gene regulation, transcription factor binding motifs, DNA and chromatin modifications, and how each component is coupled to a functional output.

These genetic mutations occur in a great variety of epigenetic enzymes, such DNA methyltransferases (DNMT3A/B) and hydroxymethyltransferases (TET1/2), but also to epigenetic readers and writers (Polycomb-group proteins), and erasers of histone modifications (histone demethylases).

Another important area of investigation within the CE Program is elucidating the mechanisms by which epigenetic regulators orchestrate transcriptional programs in response to growth factor signaling and hormones and how such functional crosstalk is altered in cancer.

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