Purification of yeast histones competent for nucleosome assembly in vitro

One-pot shotgun quantitative mass spectrometry characterization of histones

Despite increasing applications of mass spectrometry (MS) to characterize post-translational modifications (PTMs) on histone proteins, most existing protocols are not properly suited to robustly measure them in a high-throughput quantitative manner. In this work, we expand on current protocols and describe improved methods for quantitative Bottom Up characterization of histones and their PTMs with comparable sensitivity but much higher throughput than standard MS approaches. This is accomplished by first bypassing off-line fractionation of histone proteins and working directly with total histones from a typical nuclei acid extraction. Next, using a chemical derivatization procedure that is combined with stable-isotope labeling in a two-step process, we can quantitatively compare samples using nanoLC-MS/MS. We show that our method can successfully detect 17 combined H2A/H2B variants and over 25 combined histone H3 and H4 PTMs in a single MS experiment. We test our method by quantifying differentially expressed histone PTMs from wild-type yeast and a methyltransferase knockout strain. This improved methodology establishes that time and sample consuming off-line HPLC or SDS-PAGE purification of individual histone variants prior to MS interrogation as commonly performed is not strictly required. Our protocol significantly streamlines the analysis of histone PTMs and will allow for studies of differentially expressed PTMs between multiple samples during biologically relevant processes in a rapid and quantitative fashion.

Identification of temporal association rules from time-series microarray data sets

Background

One of the most challenging problems in mining gene expression data is to identify how the expression of any particular gene affects the expression of other genes. To elucidate the relationships between genes, an association rule mining (ARM) method has been applied to microarray gene expression data. However, a conventional ARM method has a limit on extracting temporal dependencies between gene expressions, though the temporal information is indispensable to discover underlying regulation mechanisms in biological pathways. In this paper, we propose a novel method, referred to as temporal association rule mining (TARM), which can extract temporal dependencies among related genes. A temporal association rule has the form [gene A↑, gene B↓] → (7 min) [gene C↑], which represents that high expression level of gene A and significant repression of gene B followed by significant expression of gene C after 7 minutes. The proposed TARM method is tested with Saccharomyces cerevisiae cell cycle time-series microarray gene expression data set.

Results

In the parameter fitting phase of TARM, the fitted parameter set [threshold = ± 0.8, support ≥ 3 transactions, confidence ≥ 90%] with the best precision score for KEGG cell cycle pathway has been chosen for rule mining phase. With the fitted parameter set, numbers of temporal association rules with five transcriptional time delays (0, 7, 14, 21, 28 minutes) are extracted from gene expression data of 799 genes, which are pre-identified cell cycle relevant genes. From the extracted temporal association rules, associated genes, which play same role of biological processes within short transcriptional time delay and some temporal dependencies between genes with specific biological processes are identified.

Conclusion

In this work, we proposed TARM, which is an applied form of conventional ARM. TARM showed higher precision score than Dynamic Bayesian network and Bayesian network. Advantages of TARM are that it tells us the size of transcriptional time delay between associated genes, activation and inhibition relationship between genes, and sets of co-regulators.

Mutational analysis of the Sir3 BAH domain reveals multiple points of interaction with nucleosomes

Sir3, a component of the transcriptional silencing complex in the yeast Saccharomyces cerevisiae, has an N-terminal BAH domain that is crucial for the protein's silencing function. Previous work has shown that the N-terminal alanine residue of Sir3 (Ala2) and its acetylation play an important role in silencing. Here we show that the silencing defects of Sir3 Ala2 mutants can be suppressed by mutations in histones H3 and H4, specifically, by H3 D77N and H4 H75Y mutations. Additionally, a mutational analysis demonstrates that three separate regions of the Sir3 BAH domain are important for its role in silencing. Many of these BAH mutations also can be suppressed by the H3 D77N and H4 H75Y mutations. In agreement with the results of others, in vitro experiments show that the Sir3 BAH domain can interact with partially purified nucleosomes. The silencing-defective BAH mutants are defective for this interaction. These results, together with the previously characterized interaction between the C-terminal region of Sir3 and the histone H3/H4 tails, suggest that Sir3 utilizes multiple domains to interact with nucleosomes.

Transcriptionally competent chromatin assembled with exogenous histones in a yeast whole cell extract

We describe a cell-free chromatin assembly system derived from the yeast Saccharomyces cerevisiae, which efficiently packages DNA into minichromosomes in a reaction dependent on exogenous core histones and an ATP-regenerating system. Both supercoiled and relaxed plasmid DNA serve as templates for nucleosomal loading in a gradual process that takes at least 6 h for completion at 30 degrees C. Micrococcal nuclease digestion of the assembled minichromosomes displays an extended nucleosomal ladder with a repeat length of 165 bp. The purified minichromosomes contain the four core histones in stoichiometric proportion and exhibit phased nucleosomes over the mouse mammary tumour virus (MMTV) promoter. The progesterone receptor and NF1 synergize on these minichromosomes resulting in efficient cell-free transcription. The ease of manipulation and the potential use of yeast strains carrying mutations in the chromatin handling machinery make this system suitable for detailed mechanistic studies.

Precision and functional specificity in mRNA decay

Posttranscriptional processing of mRNA is an integral component of the gene expression program. By using DNA microarrays, we precisely measured the decay of each yeast mRNA, after thermal inactivation of a temperature-sensitive RNA polymerase II. The half-lives varied widely, ranging from approximately 3 min to more than 90 min. We found no simple correlation between mRNA half-lives and ORF size, codon bias, ribosome density, or abundance. However, the decay rates of mRNAs encoding groups of proteins that act together in stoichiometric complexes were generally closely matched, and other evidence pointed to a more general relationship between physiological function and mRNA turnover rates. The results provide strong evidence that precise control of the decay of each mRNA is a fundamental feature of the gene expression program in yeast.

Yeast chromatin reconstitution system using purified yeast core histones and yeast nucleosome assembly protein-1

Transcription regulation in the cell occurs in the context of chromatin. It follows that a thorough investigation of the mechanism of transcription regulation must take into account the role of chromatin structure. Through classical and molecular genetic experiments in yeast, great strides have been made in understanding the role of chromatin in eukaryotic gene regulation. To achieve a more detailed understanding of the biochemical mechanism of transcription regulation, a yeast chromatin reconstitution system is needed. This need drove us to develop a yeast core histone purification procedure for the reconstitution of these histones into chromatin templates using components wholly derived from yeast. We have purified native yeast core histones in milligram quantities and we have shown these histones to be competent for reconstitution of chromatin templates using yeast nucleosome assembly protein-1. This accomplishment sets the stage for studies using the full power of yeast as an experimental organism to investigate the role of chromatin in transcription regulation.

The AT-rich flanks of the oocyte-type 5S RNA gene of Xenopus laevis act as a strong local signal for histone H1-mediated chromatin reorganization in vitro

In vivo, histone H1 plays an active role in establishing the transcriptionally repressed chromatin state of the oocyte-type 5S RNA genes in the early stages of Xenopus development. By using fully defined in vitro system of chromatin assembly on plasmids with cloned oocyte- or somatic-type 5S gene repeats we found that the oocyte repeat which comprises a 120 bp oocyte-type 5S RNA gene placed within the few hundred bp long native AT-rich flanks, but not the somatic repeat (a similar 120 bp somatic-type 5S RNA gene placed within native GC-rich flanks) enables histone H1 to realign the nucleosomal core particles densely packed on plasmid DNA. The realignment results in creation of the repeat unit of approximately 240 bp and is achieved through complete removal of several core histone complexes from plasmid template with the oocyte-type repeat. This effect of H1 is independent on the plasmid sequences and seems to be solely due to the presence in the oocyte-repeat of the AT-rich flanks. The effects of H1 are completely suppressed by distamycin A, a drug that specifically recognizes and binds oligo(dA).oligo(dT) runs in DNA. The binding of H1 results in increased protection of DNA sites within the AT-rich oocyte-type 5S repeat. In an in vitro transcription assay performed with reconstituted chromatin templates containing plasmids with the oocyte- or somatic-type repeats only the transcription of the oocyte-type 5S RNA gene was repressed in the presence of physiological concentration of histone H1. These results support the view that the AT-rich flanks of the oocyte-type 5S RNA gene are involved in histone H1-mediated chromatin reorganization that results in the transcriptional repression observed in vivo.