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H3K27ac in WT and Shh-/-, and Shh-/-;Gli3-/- E10.5 limb buds

ABSTRACT: Purpose: The response to Hedgehog signaling in the limb is driven by GLI bound enhancers. While most Hh targets in the developing limb bud appear to be regulated by the activity of GLI-repressor, the role of GLI activator in this regulation is unclear. Here we assess the roles of GLI activator and repressor in regulating H3K27ac to activate their enhancers. Methods: ChIP-seq was performed in Embryonic day 10.5 mouse limb buds from WT, Shh-/- and Shh-/-Gli3-/- embryos Results: We found that most GLI binding regions can be activated in the absence of both GLI activator and repressor, while a small subset require GLI activator for activity. These indicate that most GLI enhancers in the limb are regulated by GLI repression.

ORGANISM(S): Mus musculus

PROVIDER: GSE133712 | GEO | 2020/01/21

REPOSITORIES: GEO

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Expression data from E11.5 mouse embryonic forelimbs - various mutant conditions or dissected limb domains

Project description:Sonic hedgehog (Shh) signals via Gli transcription factors to direct digit number and identity in the vertebrate limb. We have characterized the Gli-dependent cis-regulatory network through a combination of whole genome ChIP-on-chip and transcriptional profiling of the developing mouse limb. In this dataset, we include the expression data obtained from dissected mouse forelimbs using a variety of gain- and loss-of-function hedgehog pathway mutants, as well as limbs dissected into responsive (posterior 2/3ds) and non-responsive (anterior 1/3d) Hh tissues. These data are used to obtain 753 genes that are differentially expressed in response to Shh signaling. Keywords: Comparison of genetic samples 28 Total samples were analyzed. We generated the following pairwise comparisons using PowerExpress: Shh<WT; SmoM2>WT; Gli3<WT; Gli3>WT; Ant<Post; Ant>Post. Genes with an FDRM-bM-^IM-$10% and a fold-change M-bM-^IM-%2 were selected. We did not generate pairwise comparisons for a certain combinations with SmoGli3 and Gli3 mutants because data from these arrays contained significant variability. To identify additional genes that were Shh-responsive, we performed the following multiple sample comparisons using an FDRM-bM-^IM-$10% and a posterior probability cutoff of M-bM-^IM-$25%: 1.) Ant<Post and Shh<WT<SmoM2, 2.) Ant<Post and Shh<WT<SmoM2 and Gli3>SmoGli3, 3.) Ant<Post and Shh<WT<SmoM2 and WT>SmoGli3

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