A5090255943- Genomics and Chromatin Dynamics
- Viral Infectious Diseases and Gene Expression in Insects
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- Acute Myeloid Leukemia Research
- RNA modifications and cancer
- Protein Degradation and Inhibitors
University of Copenhagen
2017-2023
Abstract Transcriptional regulation is tightly coupled with chromosomal positioning and three-dimensional chromatin architecture. However, it unclear what proportion of transcriptional activity reflecting such organisation, how much can be informed by RNA expression alone this impacts disease. Here, we develop a computational decomposition approach separating the associated genome organisation from independent effects not directly related to genomic positioning. We show that positionally...
The response of the human acute myeloid leukemia cell line THP-1 to phorbol esters has been widely-studied test candidate therapies and as a model cycle arrest monocyte-macrophage differentiation. Here we have employed Cap Analysis Gene Expression (CAGE) analyse dense time course transcriptional regulation in cells treated with myristate acetate (PMA) over 96 hours. PMA treatment greatly reduced numbers entering S phase also blocked exiting G2/M. PMA-treated became adherent expression mature...
Many genes are co-expressed and form genomic domains of coordinated gene activity. However, the regulatory determinants domain co-activity remain unclear. Here, we leverage human individual variation in expression to characterize co-regulatory processes underlying systematically quantify their effect sizes. We employ transcriptional decomposition extract from RNA data an component related revealed by positioning. This strategy reveals close 1,500 domains, covering most expressed genes, which...
Abstract Many genes are co-expressed and form genomic domains of coordinated gene activity. However, the regulatory determinants domain co-activity remain unclear. Here, we leverage human individual variation in expression to characterize co-regulatory processes underlying systematically quantify their effect sizes. We employ transcriptional decomposition extract from RNA data an component related revealed by positioning. This strategy reveals close 1,500 domains, covering most expressed...
ABSTRACT Transcriptional regulation is tightly coupled with chromosomal positioning and three-dimensional chromatin architecture. However, it unclear what proportion of transcriptional activity reflecting such organisation, how much can be informed by RNA expression alone, this impacts disease. Here, we develop a decomposition approach separating the associated genome organisation from independent effects not directly related to genomic positioning. We show that positionally attributable...