A revised model for promoter competition based on multi-way chromatin interactions
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ABSTRACT:
PROVIDER: PRJNA535476 | ENA |
REPOSITORIES: ENA
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Project description:Specific communication between gene promoters and enhancers is critical for accurate regulation of gene expression. However, it remains unclear how specific interactions between multiple regulatory elements contained within a single chromatin domain are coordinated. Recent technological advances which can detect multi-way chromatin interactions at single alleles can provide insights into how multiple regulatory elements cooperate or compete for transcriptional activation. Here, we use such an approach to investigate how interactions of the α-globin enhancers are distributed between multiple promoters in a mouse model in which the α-globin domain is extended to include several additional genes. Our data show that gene promoters do not form mutually exclusive interactions with enhancers, but all interact simultaneously in a single complex. These findings suggest that promoters do not structurally compete for interactions with enhancers, but form a regulatory hub structure, which is consistent with recent models of transcriptional activation occurring in non- membrane bound nuclear compartments.
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Project description:Chromatin architecture, a key regulator of gene expression, can be inferred using chromatin contact data from chromosome conformation capture, or Hi-C. However, classical Hi-C does not preserve multi-way contacts. Here we use long sequencing reads to map genome-wide multi-way contacts and investigate higher order chromatin organization in the human genome. We use hypergraph theory for data representation and analysis, and quantify higher order structures in neonatal fibroblasts, biopsied adult fibroblasts, and B lymphocytes. By integrating multi-way contacts with chromatin accessibility, gene expression, and transcription factor binding, we introduce a data-driven method to identify cell type-specific transcription clusters. We provide transcription factor-mediated functional building blocks for cell identity that serve as a global signature for cell types.
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Project description:Interest in exploiting algae as a biofuel source and the role of nutrient deficiency in inducing triacylglyceride (TAG) accumulation in cells necessitates a strategy to efficiently formulate species-specific culture media that can be easily manipulated. Using the reference organism Chlamydomonas reinhardtii, we tested the hypothesis that modeling trace element supplements on the ionomes of cells would result in optimized cell growth. We characterized the ionomes of multiple wild-type Chlamydomonas strains in various culture conditions and developed a revised trace element solution to parallel our measurements. Comparison of cells growing in the revised supplement versus a traditional trace element solution revealed faster growth rates and higher maximum cell densities with the revised recipe. RNA-seq analysis of cultures growing in the traditional versus revised medium suggest that the variation in transcriptomes was smaller than that found between laboratories using the same supplement. Visual observation did not reveal defects in cell motility or mating efficiency. Ni2+-inducible expression from the CYC6 promoter remained a useful tool, albeit with an increased amount of Ni2+ supplementation due to the introduction of an EDTA buffer system in the revised medium. Equilibrium modeling of the revised supplement predicts less metal precipitation in the revised medium. Other advantages include more facile preparation of trace element stock solutions that can readily be adapted for deficiency studies, a reduction in total chemical use, a more consistent batch-to-batch formulation, and long-term stability (up to 5 years). Under the new growth regime, we analyzed cells growing under different macro- and micronutrient-deficiencies. In N and S deficiency, cells accumulate TAG as well in the new medium as previously demonstrated. Fe and Zn deficiency also induced TAG accumulation as suggested by Nile Red and Bodipy staining. This ionomic approach can be used to efficiently optimize culturing conditions for other algal species to improve growth and assay cell physiology.
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