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Using Intra-ChIP to Measure Protein–DNA Interactions in Intracellular Pathogens
Abstract and Figures
Chromatin immunoprecipitation is used to measure the binding of transcription factors to target DNA sequences in order to better understand transcriptional regulation. Here, we describe a process to analyze bacterial transcription factor binding in the context of an infected eukaryotic host cell. Using this approach, we measured the binding kinetics of three Chlamydia trachomatis transcription factors within infected cells, and demonstrated temporal changes in binding.
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Background
ChIP-seq is the primary technique used to investigate genome-wide protein-DNA interactions. As part of this procedure, immunoprecipitated DNA must undergo “library preparation” to enable subsequent high-throughput sequencing. To facilitate the analysis of biopsy samples and rare cell populations, there has been a recent proliferation of methods allowing sequencing library preparation from low-input DNA amounts. However, little information exists on the relative merits, performance, comparability and biases inherent to these procedures. Notably, recently developed single-cell ChIP procedures employing microfluidics must also employ library preparation reagents to allow downstream sequencing. ResultsIn this study, seven methods designed for low-input DNA/ChIP-seq sample preparation (Accel-NGS® 2S, Bowman-method, HTML-PCR, SeqPlex™, DNA SMART™, TELP and ThruPLEX®) were performed on five replicates of 1 ng and 0.1 ng input H3K4me3 ChIP material, and compared to a “gold standard” reference PCR-free dataset. The performance of each method was examined for the prevalence of unmappable reads, amplification-derived duplicate reads, reproducibility, and for the sensitivity and specificity of peak calling. Conclusions
We identified consistent high performance in a subset of the tested reagents, which should aid researchers in choosing the most appropriate reagents for their studies. Furthermore, we expect this work to drive future advances by identifying and encouraging use of the most promising methods and reagents. The results may also aid judgements on how comparable are existing datasets that have been prepared with different sample library preparation reagents.
Background
The Leucine-responsive Regulatory Protein (Lrp) family is a widespread family of regulatory transcription factors in prokaryotes. BarR is an Lrp-like transcription factor in the model archaeon Sulfolobus acidocaldarius that activates the expression of a β-alanine aminotransferase gene, which is involved in β-alanine degradation. In contrast to classical Lrp-like transcription factors, BarR is not responsive to any of the α-amino acids but interacts specifically with β-alanine. Besides the juxtaposed β-alanine aminotransferase gene, other regulatory targets of BarR have not yet been identified although β-alanine is the precursor of coenzyme A and thus an important central metabolite. The aim of this study is to extend the knowledge of the DNA-binding characteristics of BarR and of its corresponding regulon from a local to a genome-wide perspective. ResultsWe characterized the genome-wide binding profile of BarR using chromatin immunoprecipation combined with high-throughput sequencing (ChIP-seq). This revealed 21 genomic binding loci. High-enrichment binding regions were validated to interact with purified BarR protein in vitro using electrophoretic mobility shift assays and almost all targets were also shown to harbour a conserved semi-palindromic binding motif. Only a small subset of enriched genomic sites are located in intergenic regions at a relative short distance to a promoter, and qRT-PCR analysis demonstrated that only one additional operon is under activation of BarR, namely the glutamine synthase operon. The latter is also a target of other Lrp-like transcription factors. Detailed inspection of the BarR ChIP-seq profile at the β-alanine aminotransferase promoter region in combination with binding motif predictions indicate that the operator structure is more complicated than previously anticipated, consisting of multiple (major and auxiliary) operators. Conclusions
BarR has a limited regulon, and includes also glutamine synthase genes besides the previously characterized β-alanine aminotransferase. Regulation of glutamine synthase is suggestive of a link between β-alanine and α-amino acid metabolism in S. acidocaldarius. Furthermore, this work reveals that the BarR regulon overlaps with that of other Lrp-like regulators.
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has been instrumental to our current view of chromatin structure and function. It allows genome-wide mapping of histone marks, which demarcate biologically relevant domains. However, ChIP-seq is an ensemble measurement reporting the average occupancy of individual marks in a cell population. Consequently, our understanding of the combinatorial nature of chromatin states relies almost exclusively on correlation between the genomic distributions of individual marks. Here, we report the development of combinatorial-iChIP to determine the genome-wide co-occurrence of histone marks at single-nucleosome resolution. By comparing to a null model, we show that certain combinations of overlapping marks (H3K36me3 and H3K79me3) co-occur more frequently than would be expected by chance, while others (H3K4me3 and H3K36me3) do not, reflecting differences in the underlying chromatin pathways. We further use combinatorial-iChIP to illuminate aspects of the Set2-RPD3S pathway. This approach promises to improve our understanding of the combinatorial complexity of chromatin.
The genome-wide study of epigenetic states requires the integrative analysis of histone modification ChIP-seq data. Here, we introduce an easy-to-use analytic framework to compare profiles of enrichment in histone modifications around classes of genomic elements, e.g. transcription start sites (TSS). Our framework is available via the user-friendly R/Bioconductor package DChIPRep. DChIPRep uses biological replicate information as well as chromatin Input data to allow for a rigorous assessment of differential enrichment. DChIPRep is available for download through the Bioconductor project at http://bioconductor.org/packages/DChIPRep.
Contact. DChIPRep@gmail.com.
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) analysis can detect protein/DNA-binding and histone-modification
sites across an entire genome. Recent advances in sequencing technologies and analyses enable us to compare hundreds of samples
simultaneously; such large-scale analysis has potential to reveal the high-dimensional interrelationship level for regulatory
elements and annotate novel functional genomic regions de novo. Because many experimental considerations are relevant to the
choice of a method in a ChIP-seq analysis, the overall design and quality management of the experiment are of critical importance.
This review offers guiding principles of computation and sample preparation for ChIP-seq analyses, highlighting the validity
and limitations of the state-of-the-art procedures at each step. We also discuss the latest challenges of single-cell analysis
that will encourage a new era in this field.
Histone modifications play an important role in chromatin organization and transcriptional regulation, but despite the large amount of genome-wide histone modification data collected in different cells and tissues, little is known about co-occurrence of modifications on the same nucleosome. Here we present a genome-wide quantitative method for combinatorial indexed chromatin immunoprecipitation (co-ChIP) to characterize co-occurrence of histone modifications on nucleosomes. Using co-ChIP, we study the genome-wide co-occurrence of 14 chromatin marks (70 pairwise combinations), and find previously undescribed co-occurrence patterns, including the co-occurrence of H3K9me1 and H3K27ac in super-enhancers. Finally, we apply co-ChIP to measure the distribution of the bivalent H3K4me3–H3K27me3 domains in two distinct mouse embryonic stem cell (mESC) states and in four adult tissues. We observe dynamic changes in 5,786 regions and discover both loss and de novo gain of bivalency in key tissue-specific regulatory genes, suggesting a functional role for bivalent domains during different stages of development. These results show that co-ChIP can reveal the complex interactions between histone modifications.
Over the past 20 years, breakthrough discoveries of chromatin-modifying enzymes and associated mechanisms that alter chromatin in response to physiological or pathological signals have transformed our knowledge of epigenetics from a collection of curious biological phenomena to a functionally dissected research field. Here, we provide a personal perspective on the development of epigenetics, from its historical origins to what we define as 'the modern era of epigenetic research'. We primarily highlight key molecular mechanisms of and conceptual advances in epigenetic control that have changed our understanding of normal and perturbed development.