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  1. Artikel ; Online: Ten simple rules for quick and dirty scientific programming.

    Gabriel Balaban / Ivar Grytten / Knut Dagestad Rand / Lonneke Scheffer / Geir Kjetil Sandve

    PLoS Computational Biology, Vol 17, Iss 3, p e

    2021  Band 1008549

    Schlagwörter Biology (General) ; QH301-705.5
    Sprache Englisch
    Erscheinungsdatum 2021-03-01T00:00:00Z
    Verlag Public Library of Science (PLoS)
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Graph Peak Caller

    Ivar Grytten / Knut D Rand / Alexander J Nederbragt / Geir O Storvik / Ingrid K Glad / Geir K Sandve

    PLoS Computational Biology, Vol 15, Iss 2, p e

    Calling ChIP-seq peaks on graph-based reference genomes.

    2019  Band 1006731

    Abstract: Graph-based representations are considered to be the future for reference genomes, as they allow integrated representation of the steadily increasing data on individual variation. Currently available tools allow de novo assembly of graph-based reference ... ...

    Abstract Graph-based representations are considered to be the future for reference genomes, as they allow integrated representation of the steadily increasing data on individual variation. Currently available tools allow de novo assembly of graph-based reference genomes, alignment of new read sets to the graph representation as well as certain analyses like variant calling and haplotyping. We here present a first method for calling ChIP-Seq peaks on read data aligned to a graph-based reference genome. The method is a graph generalization of the peak caller MACS2, and is implemented in an open source tool, Graph Peak Caller. By using the existing tool vg to build a pan-genome of Arabidopsis thaliana, we validate our approach by showing that Graph Peak Caller with a pan-genome reference graph can trace variants within peaks that are not part of the linear reference genome, and find peaks that in general are more motif-enriched than those found by MACS2.
    Schlagwörter Biology (General) ; QH301-705.5
    Thema/Rubrik (Code) 511
    Sprache Englisch
    Erscheinungsdatum 2019-02-01T00:00:00Z
    Verlag Public Library of Science (PLoS)
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: LXRα Regulates ChREBPα Transactivity in a Target Gene-Specific Manner through an Agonist-Modulated LBD-LID Interaction

    Qiong Fan / Rikke Christine Nørgaard / Ivar Grytten / Cecilie Maria Ness / Christin Lucas / Kristin Vekterud / Helen Soedling / Jason Matthews / Roza Berhanu Lemma / Odd Stokke Gabrielsen / Christian Bindesbøll / Stine Marie Ulven / Hilde Irene Nebb / Line Mariann Grønning-Wang / Thomas Sæther

    Cells, Vol 9, Iss 1214, p

    2020  Band 1214

    Abstract: The cholesterol-sensing nuclear receptor liver X receptor (LXR) and the glucose-sensing transcription factor carbohydrate responsive element-binding protein (ChREBP) are central players in regulating glucose and lipid metabolism in the liver. More ... ...

    Abstract The cholesterol-sensing nuclear receptor liver X receptor (LXR) and the glucose-sensing transcription factor carbohydrate responsive element-binding protein (ChREBP) are central players in regulating glucose and lipid metabolism in the liver. More knowledge of their mechanistic interplay is needed to understand their role in pathological conditions like fatty liver disease and insulin resistance. In the current study, LXR and ChREBP co-occupancy was examined by analyzing ChIP-seq datasets from mice livers. LXR and ChREBP interaction was determined by Co-immunoprecipitation (CoIP) and their transactivity was assessed by real-time quantitative polymerase chain reaction (qPCR) of target genes and gene reporter assays. Chromatin binding capacity was determined by ChIP-qPCR assays. Our data show that LXRα and ChREBPα interact physically and show a high co-occupancy at regulatory regions in the mouse genome. LXRα co-activates ChREBPα and regulates ChREBP-specific target genes in vitro and in vivo. This co-activation is dependent on functional recognition elements for ChREBP but not for LXR, indicating that ChREBPα recruits LXRα to chromatin in trans . The two factors interact via their key activation domains; the low glucose inhibitory domain (LID) of ChREBPα and the ligand-binding domain (LBD) of LXRα. While unliganded LXRα co-activates ChREBPα, ligand-bound LXRα surprisingly represses ChREBPα activity on ChREBP-specific target genes. Mechanistically, this is due to a destabilized LXRα:ChREBPα interaction, leading to reduced ChREBP-binding to chromatin and restricted activation of glycolytic and lipogenic target genes. This ligand-driven molecular switch highlights an unappreciated role of LXRα in responding to nutritional cues that was overlooked due to LXR lipogenesis-promoting function.
    Schlagwörter glucose ; cholesterol ; lipid metabolism ; nuclear receptors ; liver ; trans-coactivation ; Biology (General) ; QH301-705.5
    Thema/Rubrik (Code) 570
    Sprache Englisch
    Erscheinungsdatum 2020-05-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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