Genome-wide Mapping of the Nucleosome Landscape by Micrococcal Nuclease and Chemical Mapping.

Nucleosomes regulate the transcription output of the genome by occluding the underlying DNA sequences from DNA-binding proteins that must act on it. Knowledge of the precise locations of nucleosomes in the genome is thus essential towards understanding how transcription is regulated. Current nucleosome-mapping strategies involve digesting chromatin with nucleases or chemical cleavage followed by high-throughput sequencing. In this review, we compare the traditional micrococcal nuclease (MNase)-based approach with a chemical cleavage strategy, with discussion on the important insights each has uncovered about the role of nucleosomes in shaping transcriptional processes.

Insights into Nucleosome Organization in Mouse Embryonic Stem Cells through Chemical Mapping.

Nucleosome organization influences gene activity by controlling DNA accessibility to transcription machinery. Here, we develop a chemical biology approach to determine mammalian nucleosome positions genome-wide. We uncovered surprising features of nucleosome organization in mouse embryonic stem cells. In contrast to the prevailing model, we observe that for nearly all mouse genes, a class of fragile nucleosomes occupies previously designated nucleosome-depleted regions around transcription start sites and transcription termination sites. We show that nucleosomes occupy DNA targets for a subset of DNA-binding proteins, including CCCTC-binding factor (CTCF) and pluripotency factors. Furthermore, we provide evidence that promoter-proximal nucleosomes, with the +1 nucleosome in particular, contribute to the pausing of RNA polymerase II. Lastly, we find a characteristic preference for nucleosomes at exon-intron junctions. Taken together, we establish an accurate method for defining the nucleosome landscape and provide a valuable resource for studying nucleosome-mediated gene regulation in mammalian cells.

Differential Nucleosome Occupancies across Oct4-Sox2 Binding Sites in Murine Embryonic Stem Cells.

The binding sequence for any transcription factor can be found millions of times within a genome, yet only a small fraction of these sequences encode functional transcription factor binding sites. One of the reasons for this dichotomy is that many other factors, such as nucleosomes, compete for binding. To study how the competition between nucleosomes and transcription factors helps determine a functional transcription factor site from a predicted transcription factor site, we compared experimentally-generated in vitro nucleosome occupancy with in vivo nucleosome occupancy and transcription factor binding in murine embryonic stem cells. Using a solution hybridization enrichment technique, we generated a high-resolution nucleosome map from targeted regions of the genome containing predicted sites and functional sites of Oct4/Sox2 regulation. We found that at Pax6 and Nes, which are bivalently poised in stem cells, functional Oct4 and Sox2 sites show high amounts of in vivo nucleosome displacement compared to in vitro. Oct4 and Sox2, which are active, show no significant displacement of in vivo nucleosomes at functional sites, similar to nonfunctional Oct4/Sox2 binding. This study highlights a complex interplay between Oct4 and Sox2 transcription factors and nucleosomes among different target genes, which may result in distinct patterns of stem cell gene regulation.

Single-cell nucleosome mapping reveals the molecular basis of gene expression heterogeneity.

Nucleosomes, the basic unit of chromatin, have a critical role in the control of gene expression. Nucleosome positions have generally been determined by examining bulk populations of cells and then correlated with overall gene expression. Here, we describe a technique to determine nucleosome positioning in single cells by virtue of the ability of the nucleosome to protect DNA from GpC methylation. In the acid phosphatase inducible PHO5 gene, we find that there is significant cell-to-cell variation in nucleosome positions and shifts in nucleosome positioning correlate with changes in gene expression. However, nucleosome positioning is not absolute, and even with major shifts in gene expression, some cells fail to change nucleosome configuration. Mutations of the PHO5 promoter that introduce a poly(dA:dT) tract-stimulated gene expression under nonpermissive conditions led to shifts of positioned nucleosomes similar to induction of PHO5. By contrast, mutations that altered AA/TT/AT periodicity reduced gene expression upon PHO5 induction and stabilized nucleosomes in most cells, suggesting that enhanced nucleosome affinity for DNA antagonizes chromatin remodelers. Finally, we determined nucleosome positioning in two regions described as "fuzzy" or nucleosome-free when examined in a bulk assay. These regions consisted of distinct nucleosomes with a larger footprint for potential location and an increase population of cells lacking a nucleosome altogether. These data indicate an underlying complexity of nucleosome positioning that may contribute to the flexibility and heterogeneity of gene expression.

A locally convoluted cluster model for nucleosome positioning signals in chemical map.

Nucleosome is the fundamental packing unit of DNA in eukaryotic cells, and its positioning plays a critical role in regulation of gene expression and chromosome functions. Using a recently developed chemical mapping method, nucleosomes can be potentially mapped with an unprecedented single-base-pair resolution. Existence of overlapping nucleosomes due to cell mixture or cell dynamics, however, causes convolution of nucleosome positioning signals. In this paper, we introduce a locally convoluted cluster model and a maximum likelihood deconvolution approach, and illustrate the effectiveness of this approach in quantification of the nucleosome positional signal in the chemical mapping data.

Chemical map of Schizosaccharomyces pombe reveals species-specific features in nucleosome positioning.

Using a recently developed chemical approach, we have generated a genome-wide map of nucleosomes in vivo in Schizosaccharomyces pombe (S. pombe) at base pair resolution. The shorter linker length previously identified in S. pombe is due to a preponderance of nucleosomes separated by ∼4/5 bp, placing nucleosomes on opposite faces of the DNA. The periodic dinucleotide feature thought to position nucleosomes is equally strong in exons as in introns, demonstrating that nucleosome positioning information can be superimposed on coding information. Unlike the case in Saccharomyces cerevisiae, A/T-rich sequences are enriched in S. pombe nucleosomes, particularly at ±20 bp around the dyad. This difference in nucleosome binding preference gives rise to a major distinction downstream of the transcription start site, where nucleosome phasing is highly predictable by A/T frequency in S. pombe but not in S. cerevisiae, suggesting that the genomes and DNA binding preferences of nucleosomes have coevolved in different species. The poly (dA-dT) tracts affect but do not deplete nucleosomes in S. pombe, and they prefer special rotational positions within the nucleosome, with longer tracts enriched in the 10- to 30-bp region from the dyad. S. pombe does not have a well-defined nucleosome-depleted region immediately upstream of most transcription start sites; instead, the -1 nucleosome is positioned with the expected spacing relative to the +1 nucleosome, and its occupancy is negatively correlated with gene expression. Although there is generally very good agreement between nucleosome maps generated by chemical cleavage and micrococcal nuclease digestion, the chemical map shows consistently higher nucleosome occupancy on DNA with high A/T content.

Archaeal nucleosome positioning in vivo and in vitro is directed by primary sequence motifs.

BACKGROUND: Histone wrapping of DNA into nucleosomes almost certainly evolved in the Archaea, and predates Eukaryotes. In Eukaryotes, nucleosome positioning plays a central role in regulating gene expression and is directed by primary sequence motifs that together form a nucleosome positioning code. The experiments reported were undertaken to determine if archaeal histone assembly conforms to the nucleosome positioning code. RESULTS: Eukaryotic nucleosome positioning is favored and directed by phased helical repeats of AA/TT/AT/TA and CC/GG/CG/GC dinucleotides, and disfavored by longer AT-rich oligonucleotides. Deep sequencing of genomic DNA protected from micrococcal nuclease digestion by assembly into archaeal nucleosomes has established that archaeal nucleosome assembly is also directed and positioned by these sequence motifs, both in vivo in Methanothermobacter thermautotrophicus and Thermococcus kodakarensis and in vitro in reaction mixtures containing only one purified archaeal histone and genomic DNA. Archaeal nucleosomes assembled at the same locations in vivo and in vitro, with much reduced assembly immediately upstream of open reading frames and throughout the ribosomal rDNA operons. Providing further support for a common positioning code, archaeal histones assembled into nucleosomes on eukaryotic DNA and eukaryotic histones into nucleosomes on archaeal DNA at the same locations. T. kodakarensis has two histones, designated HTkA and HTkB, and strains with either but not both histones deleted grow normally but do exhibit transcriptome differences. Comparisons of the archaeal nucleosome profiles in the intergenic regions immediately upstream of genes that exhibited increased or decreased transcription in the absence of HTkA or HTkB revealed substantial differences but no consistent pattern of changes that would correlate directly with archaeal nucleosome positioning inhibiting or stimulating transcription. CONCLUSIONS: The results obtained establish that an archaeal histone and a genome sequence together are sufficient to determine where archaeal nucleosomes preferentially assemble and where they avoid assembly. We confirm that the same nucleosome positioning code operates in Archaea as in Eukaryotes and presumably therefore evolved with the histone-fold mechanism of DNA binding and compaction early in the archaeal lineage, before the divergence of Eukaryotes.

High-resolution nucleosome mapping of targeted regions using BAC-based enrichment.

We report a target enrichment method to map nucleosomes of large genomes at unprecedented coverage and resolution by deeply sequencing locus-specific mononucleosomal DNA enriched via hybridization with bacterial artificial chromosomes. We achieved ≈ 10 000-fold enrichment of specific loci, which enabled sequencing nucleosomes at up to ≈ 500-fold higher coverage than has been reported in a mammalian genome. We demonstrate the advantages of generating high-sequencing coverage for mapping the center of discrete nucleosomes, and we show the use of the method by mapping nucleosomes during T cell differentiation using nuclei from effector T-cells differentiated from clonal, isogenic, naïve, primary murine CD4 and CD8 T lymphocytes. The analysis reveals that discrete nucleosomes exhibit cell type-specific occupancy and positioning depending on differentiation status and transcription. This method is widely applicable to mapping many features of chromatin and discerning its landscape in large genomes at unprecedented resolution.

A chemical approach to mapping nucleosomes at base pair resolution in yeast.

Most eukaryotic DNA exists in DNA-protein complexes known as nucleosomes. The exact locations of nucleosomes along the genome play a critical role in chromosome functions and gene regulation. However, the current methods for nucleosome mapping do not provide the necessary accuracy to identify the precise nucleosome locations. Here we describe a new experimental approach that directly maps nucleosome center locations in vivo genome-wide at single base pair resolution.

A map of nucleosome positions in yeast at base-pair resolution.

The exact positions of nucleosomes along genomic DNA can influence many aspects of chromosome function. However, existing methods for mapping nucleosomes do not provide the necessary single-base-pair accuracy to determine these positions. Here we develop and apply a new approach for direct mapping of nucleosome centres on the basis of chemical modification of engineered histones. The resulting map locates nucleosome positions genome-wide in unprecedented detail and accuracy. It shows new aspects of the in vivo nucleosome organization that are linked to transcription factor binding, RNA polymerase pausing and the higher-order structure of the chromatin fibre.

Predicting nucleosome positioning using a duration Hidden Markov Model.

BACKGROUND: The nucleosome is the fundamental packing unit of DNAs in eukaryotic cells. Its detailed positioning on the genome is closely related to chromosome functions. Increasing evidence has shown that genomic DNA sequence itself is highly predictive of nucleosome positioning genome-wide. Therefore a fast software tool for predicting nucleosome positioning can help understanding how a genome's nucleosome organization may facilitate genome function. RESULTS: We present a duration Hidden Markov model for nucleosome positioning prediction by explicitly modeling the linker DNA length. The nucleosome and linker models trained from yeast data are re-scaled when making predictions for other species to adjust for differences in base composition. A software tool named NuPoP is developed in three formats for free download. CONCLUSIONS: Simulation studies show that modeling the linker length distribution and utilizing a base composition re-scaling method both improve the prediction of nucleosome positioning regarding sensitivity and false discovery rate. NuPoP provides a user-friendly software tool for predicting the nucleosome occupancy and the most probable nucleosome positioning map for genomic sequences of any size. When compared with two existing methods, NuPoP shows improved performance in sensitivity.

[The study of efficiency and cost of research oriented CT system in Shanghai zone].

The paper is about the study on efficiency and operation cost of 11 research oriented CT systems in Shanghai zone. The study result include the average volume, annual operation cost, cost per scan and break-even-point. It reveals that the research oriented CT system purchase price and operation cost is high. The suggestion is that the hospital should be cautious to select the research oriented CT system with consideration of clinical research demand to avoid unsuitable investment.

Preferentially quantized linker DNA lengths in Saccharomyces cerevisiae.

The exact lengths of linker DNAs connecting adjacent nucleosomes specify the intrinsic three-dimensional structures of eukaryotic chromatin fibers. Some studies suggest that linker DNA lengths preferentially occur at certain quantized values, differing one from another by integral multiples of the DNA helical repeat, approximately 10 bp; however, studies in the literature are inconsistent. Here, we investigate linker DNA length distributions in the yeast Saccharomyces cerevisiae genome, using two novel methods: a Fourier analysis of genomic dinucleotide periodicities adjacent to experimentally mapped nucleosomes and a duration hidden Markov model applied to experimentally defined dinucleosomes. Both methods reveal that linker DNA lengths in yeast are preferentially periodic at the DNA helical repeat ( approximately 10 bp), obeying the forms 10n+5 bp (integer n). This 10 bp periodicity implies an ordered superhelical intrinsic structure for the average chromatin fiber in yeast.

The minimum capture proportion for reliable estimation in capture-recapture models.

We derive estimates of the minimum capture proportion required to obtain a reliable estimate of the population size for several continuous and discrete-time capture-recapture models. The models considered are M(0), M(t), M(b), M(h), M(ht), and M(tb) in the notation of Otis et al., (1978, Wildlife Monograph62, 1-135). Numerical results with simulation studies are given, and two real examples for the model M(h) are also considered. Potential applications of these results are suggested.

A unified likelihood-based approach for estimating population size in continuous-time capture-recapture experiments with frailty.

A unified likelihood-based approach is proposed to estimate population size for a continuous-time closed capture-recapture experiment with frailty. The frailty model allows the capture intensity to vary with individual heterogeneity, time, and behavioral response. The individual heterogeneity effect is modeled as being gamma distributed. The first-capture and recapture intensities are assumed to be in constant proportion but may otherwise vary arbitrarily through time. The approach is also extended to capture-recapture experiments with possible random removals. Simulation studies are conducted to examine the performance of the proposed estimators. By asymptotic efficiency comparison and simulation studies, the proposed estimators have been shown to be superior to their discrete-time model counterparts in genuine continuous-time capture-recapture experiments.

A semiparametric method for estimating population size for capture-recapture experiments with random covariates in continuous time.

A semiparametric estimation procedure is proposed to model capture-recapture data with the aim of estimating the population size for a closed population. Individuals' covariates are possibly time dependent and missing at noncaptured times and may be measured with error. A set of estimating equations (EEs) based on covariate process and capture-recapture data is constructed to estimate the relevant parameters and the population size. These EEs can be solved by an algorithm similar to an EM algorithm. Simulation results show that the proposed procedures work better than the naive estimate. In some cases they are even better than "ideal" estimates, for which the true values of covariates are available for all captured subjects over the entire experimental period. We apply the method to a capture-recapture experiment on the bird species Prinia flaviventris in Hong Kong.