Differentiation of human pluripotent stem cells into neurons or cortical organoids requires transcriptional co-regulation by UTX and 53BP1

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Abstract

<p class="first" id="P4">UTX is a chromatin modifier required for development and neural lineage specification, but how it controls these biological processes is unclear. To determine the molecular mechanisms of UTX, we identified novel UTX protein interaction partners. Here, we show that UTX and 53BP1 directly interact and co-occupy promoters in human embryonic stem cells and differentiating neural progenitor cells. Human 53BP1 contains a UTX-binding site that diverges from its mouse homolog by 41%, and disruption of the 53BP1-UTX interaction abrogated human, but not mouse, neurogenesis <i>in vitro</i>. The 53BP1-UTX interaction is required to upregulate key neurodevelopmental genes during the differentiation of human embryonic stem cells into neurons or into cortical organoids. 53BP1 promotes UTX chromatin binding, and in turn H3K27 modifications and gene activation, at a subset of genomic regions, including neurogenic genes. Overall, our data suggest that the UTX-53BP1 interaction supports the activation of key genes required for human neurodevelopment. </p>

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A clustering approach for identification of enriched domains from histone modification ChIP-Seq data.

Chongzhi Zang, Dustin E. Schones, Chen Zeng … (2009)

Chromatin states are the key to gene regulation and cell identity. Chromatin immunoprecipitation (ChIP) coupled with high-throughput sequencing (ChIP-Seq) is increasingly being used to map epigenetic states across genomes of diverse species. Chromatin modification profiles are frequently noisy and diffuse, spanning regions ranging from several nucleosomes to large domains of multiple genes. Much of the early work on the identification of ChIP-enriched regions for ChIP-Seq data has focused on identifying localized regions, such as transcription factor binding sites. Bioinformatic tools to identify diffuse domains of ChIP-enriched regions have been lacking. Based on the biological observation that histone modifications tend to cluster to form domains, we present a method that identifies spatial clusters of signals unlikely to appear by chance. This method pools together enrichment information from neighboring nucleosomes to increase sensitivity and specificity. By using genomic-scale analysis, as well as the examination of loci with validated epigenetic states, we demonstrate that this method outperforms existing methods in the identification of ChIP-enriched signals for histone modification profiles. We demonstrate the application of this unbiased method in important issues in ChIP-Seq data analysis, such as data normalization for quantitative comparison of levels of epigenetic modifications across cell types and growth conditions. http://home.gwu.edu/ approximately wpeng/Software.htm. Supplementary data are available at Bioinformatics online.

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Design and analysis of ChIP-seq experiments for DNA-binding proteins

Peter V. Kharchenko, Michael Tolstorukov, Peter Park (2008)

Recent progress in massively parallel sequencing platforms has allowed for genome-wide measurements of DNA-associated proteins using a combination of chromatin immunoprecipitation and sequencing (ChIP-seq). While a variety of methods exist for analysis of the established microarray alternative (ChIP-chip), few approaches have been described for processing ChIP-seq data. To fill this gap, we propose an analysis pipeline specifically designed to detect protein binding positions with high accuracy. Using three separate datasets, we illustrate new methods for improving tag alignment and correcting for background signals. We also compare sensitivity and spatial precision of several novel and previously described binding detection algorithms. Finally, we analyze the relationship between the depth of sequencing and characteristics of the detected binding positions, and provide a method for estimating the sequencing depth necessary for a desired coverage of protein binding sites.

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Activity-Induced DNA Breaks Govern the Expression of Neuronal Early-Response Genes.

Ram Madabhushi, Fan Gao, Andreas R. Pfenning … (2015)

Neuronal activity causes the rapid expression of immediate early genes that are crucial for experience-driven changes to synapses, learning, and memory. Here, using both molecular and genome-wide next-generation sequencing methods, we report that neuronal activity stimulation triggers the formation of DNA double strand breaks (DSBs) in the promoters of a subset of early-response genes, including Fos, Npas4, and Egr1. Generation of targeted DNA DSBs within Fos and Npas4 promoters is sufficient to induce their expression even in the absence of an external stimulus. Activity-dependent DSB formation is likely mediated by the type II topoisomerase, Topoisomerase IIβ (Topo IIβ), and knockdown of Topo IIβ attenuates both DSB formation and early-response gene expression following neuronal stimulation. Our results suggest that DSB formation is a physiological event that rapidly resolves topological constraints to early-response gene expression in neurons.