Search results for "ChIP-sequencing"
showing 3 items of 3 documents
Chromatin Immunoprecipitation Assay to Identify Genomic Binding Sites of Regulatory Factors
2016
DNA-protein interactions are vital to fundamental cellular events including transcription, replication, DNA repair, and recombination. Thus, their study holds the key to our understanding of mechanisms underlying normal development and homeostasis as well as disease. Transcriptional regulation is a highly complex process that involves recruitment of numerous factors resulting in formation of multi-protein complexes at gene promoters to regulate gene expression. The studied proteins can be, for example, transcription factors, epigenetic regulators, co-activators, co-repressors, or ligand-activated nuclear receptors as estrogen receptor-α (ERα) bound either directly to the DNA or indirectly b…
Chromatin Domains and Regulation of Transcription
2007
Compartmentalization and compaction of DNA in the nucleus is the characteristic feature of eukaryotic cells. A fully extended DNA molecule has to be compacted 100,000 times to fit within the nucleus. At the same time it is critical that various DNA regions remain accessible for interaction with regulatory factors and transcription/replication factories. This puzzle is solved at the level of DNA packaging in chromatin that occurs in several steps: rolling of DNA onto nucleosomes, compaction of nucleosome fiber with formation of the so-called 30 nm fiber, and folding of the latter into the giant (50-200 kbp) loops, fixed onto the protein skeleton, the nuclear matrix. The general assumption is…
mBISON: Finding miRNA target over-representation in gene lists from ChIP-sequencing data
2015
Background Over-representation of predicted miRNA targets in sets of genes regulated by a given transcription factor (e.g. as defined by ChIP-sequencing experiments) helps to identify biologically relevant miRNA targets and is useful to get insight into post-transcriptional regulation. Findings To facilitate the application of this approach we have created the mBISON web-application. mBISON calculates the significance of over-representation of miRNA targets in a given non-ranked gene set. The gene set can be specified either by a list of genes or by one or more ChIP-seq datasets followed by a user-defined peak-gene association procedure. mBISON is based on predictions from TargetScan and us…