Rapid evolutionary repair by secondary perturbation of a primary disrupted transcriptional network
Ontology highlight
ABSTRACT:
SUBMITTER: Dr. Po-Chen Hsu
PROVIDER: S-SCDT-10_15252-EMBR_202256019 | biostudies-other |
REPOSITORIES: biostudies-other
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2012-06-18 | E-GEOD-33571 | biostudies-arrayexpress
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Project description:The transcriptional basis for disrupted epidermal differentiation arising from TP63 AEC mutations remains to be elucidated. Here we present an organotypic model of AEC dysfunction that phenocopies differentiation defects observed in AEC patient skin. Transcriptional analysis of model AEC tissue revealed impaired induction of differentiation regulators, including OVOL1, GRHL3, KLF4, PRDM1 and ZNF750. Genome wide binding analyses of TP63 during epidermal differentiation showed direct binding of OVOL1, GRHL3, and ZNF750 promoters suggesting AEC mutants prevent normal activation of these targets by direct transcriptional interference. Remarkably, exogenous ZNF750 restores impaired epidermal differentiation caused by AEC mutation. Thus, repression of ZNF750 is central to disrupted epidermal differentiation in model AEC tissue.
2012-06-18 | GSE33571 | GEO
Project description:Recent miRNA transfection experiments show strong evidence that miRNAs influence not only their target but also non-target genes; the precise mechanism of the extended regulatory effects of miRNAs remains to be elucidated. A hypothetical two-layer regulatory network in which transcription factors (TFs) function as important mediators of miRNA-initiated regulatory effects was envisioned, and a comprehensive strategy was developed to map such miRNA-centered regulatory cascades. Given gene expression profiles after miRNA-perturbation, along with putative miRNA-gene and TF-gene regulatory relationships, highly likely degraded targets were fetched by a non-parametric statistical test; miRNA-regulated TFs and their downstream targets were mined out through linear regression modeling. When applied to 53 expression datasets, this strategy discovered combinatorial regulatory networks centered around 19 miRNAs. A tumor-related regulatory network was diagrammed as an example, with the important tumor-related regulators TP53 and MYC playing hub connector roles. A web server is provided for query and analysis of all reported data in this article. Our results reinforce the growing awareness that non-coding RNAs may play key roles in the transcription regulatory network. Our strategy could be applied to reveal conditional regulatory pathways in many more cellular contexts.
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Project description:Circadian clocks regulate the daily timing of metabolic, physiological, and behavioral activities to adapt organisms to day-night cycles. In the model plant Arabidopsis thaliana, transcript-translational feedback loops (TTFL) constitute the circadian clock, which is conserved among flowering plants. Arabidopsis TTFL directly regulates key genes in the clock-output pathways, whereas the pathways for clock-output control in other plants is largely unknown. Here, we propose that the transcriptional networks of clock-associated pseudo-response regulators (PRRs) are conserved among flowering plants. Most PRR genes from Arabidopsis, poplar, and rice encode potential transcriptional repressors. The PRR5-target-like gene group includes genes that encode key transcription factors for flowering time regulation, cell elongation, and chloroplast gene expression. The 5'-upstream regions of PRR5-target-like genes from poplar and rice tend to contain G-box-like elements that are potentially recognized by PRRs in vivo as has been shown in Arabidopsis. Expression of PRR5-target-like genes from poplar and rice tends to decrease when PRRs are expressed, possibly suggesting that the transcriptional network of PRRs is evolutionarily conserved in these plants.
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