Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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EDD: a program for detection of wide genomic enrichment domains robust against local variations [RNA-Seq]

ABSTRACT: Nuclear lamins contact the genome at the nuclear periphery through large domains and are involved in chromatin organization. Among broad peak calling algorithms available to date, none are suited for mapping lamin-genome interactions genome-wide. We disclose a novel algorithm, Enriched Domain Detector (EDD), for analysis of broad enrichment domains from ChIP-seq data. EDD enables discovery of genomic domains interacting with broadly distributed chromatin-associated proteins such as lamins. The main advantage of EDD over existing broad peak callers is sensitivity to domain width rather than enrichment strength at a particular site, and robustness against local variations. EDD is downloadable from http://github.com/eivindgl/edd. RNA-seq experiments in human normal dermal fibroblasts (Lonza CC-2511; LDFs) and human normal primary dermal fibroblasts (Norwegian Stem Cell Center AD04DFs).

ORGANISM(S): Homo sapiens

SUBMITTER: Philippe Collas

PROVIDER: E-GEOD-54333 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Enriched domain detector: a program for detection of wide genomic enrichment domains robust against local variations.

Lund Eivind E Oldenburg Anja R AR Collas Philippe P

Nucleic acids research 20140429 11

Nuclear lamins contact the genome at the nuclear periphery through large domains and are involved in chromatin organization. Among broad peak calling algorithms available to date, none are suited for mapping lamin-genome interactions genome wide. We disclose a novel algorithm, enriched domain detector (EDD), for analysis of broad enrichment domains from chromatin immunoprecipitation (ChIP)-seq data. EDD enables discovery of genomic domains interacting with broadly distributed proteins, such as A ...[more]

PMID: 24782521

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Project description:Synthetic transcription factors can be applied to many areas of biotechnology, medicine, and basic research.Â Currently, the most common method for engineering synthetic transcription factors has been based on programmable DNA-binding domains of zinc finger proteins, Transcription Activator-Like Effectors (TALEs), and most recently the CRISPR/Cas9 system. These transcription factor platforms consist of the DNA-binding domain fused to potent transcriptional activation domains, most commonly the tetramer of the minimal transactivation domain of the VP16 protein from herpes simplex virus, referred to as VP64. Although many applications are well-suited for the targeted activation of a single gene, genetic reprogramming requires the coordinated regulation of many nodes of natural gene networks as is typically performed by naturally occurring reprogramming factors. Thus we sought to combine principles from each of these approaches by attaching potent transcriptional activation domains to a natural reprogramming factor to increase the efficiency and/or rate of cell fate conversion. In this study, we evaluated the effects of fusing potent activation domains to the transcription factor MyoD, the master regulator of the skeletal myoblast lineage. In certain non-myogenic lineages, MyoD overexpression causes upregulation of the myogenic gene network and conversion to a myoblast phenotype including cell fusion into multinucleated myotubes. Compared to wild-type MyoD, the VP64-MyoD fusion protein induced greater overall reprogramming of global gene expression. This simple approach for increasing the potency of natural reprogramming factors circumvents the need for screening engineered proteins and leads to a more robust cellular reprogramming compared to treatment with the wild type transcription factor. Human dermal fibroblasts were transduced with a single tet inducible lentivirus that expresses either WT-MyoD or VP64-MyoD in response to treatment with doxycycline. Untreated human dermal fibroblast served as the negative control. Gene expression was measured using mRNA-seq, and differential expression was calculated using DESeq. All experiments were performed in biological duplicates.

Dataset Information

EDD: a program for detection of wide genomic enrichment domains robust against local variations [RNA-Seq]

Publications

Enriched domain detector: a program for detection of wide genomic enrichment domains robust against local variations.

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