Several recent studies link parental environments to phenotypes in subsequent generations. Here, we investigate the mechanism by which paternal diet affects offspring metabolism. Protein restriction in mice affects small RNA levels in mature sperm, with decreased let-7 levels and increased levels of 5’ fragments of glycine tRNAs. tRNA fragments are scarce in testicular sperm, but are gained as sperm mature in the epididymis. Epididymosomes – vesicles that fuse with sperm during epididymal transit – carry RNA payloads matching those of mature sperm, and deliver RNAs to immature sperm in vitro. Functionally, tRNA-Gly-GCC fragments repress genes associated with the endogenous retroelement MERVL, both in ES cells and embryos. Our results shed light on small RNA biogenesis, and its dietary regulation, during post-testicular sperm maturation, and link tRNA fragments to regulation of endogenous retroelements active in the preimplantation embryo.

The positioning of nucleosomes along chromatin has been implicated in the regulation of gene expression in eukaryotic cells, because packaging DNA into nucleosomes affects sequence accessibility. We developed a tiled microarray approach to identify at high resolution the translational positions of 2278 nucleosomes over 482 kilobases of Saccharomyces cerevisiae DNA, including almost all of chromosome III and 223 additional regulatory regions. The majority of the nucleosomes identified were well-positioned. We found a stereotyped chromatin organization at Pol II promoters consisting of a nucleosome-free region approximately 200 base pairs upstream of the start codon flanked on both sides by positioned nucleosomes. The nucleosome-free sequences were evolutionarily conserved and were enriched in poly-deoxyadenosine or poly-deoxythymidine sequences. Most occupied transcription factor binding motifs were devoid of nucleosomes, strongly suggesting that nucleosome positioning is a global determinant of transcription factor access.

Chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) has become the dominant technique for mapping transcription factor (TF) binding regions genome-wide. We performed an integrative analysis centered around 457 ChIP-seq data sets on 119 human TFs generated by the ENCODE Consortium. We identified highly enriched sequence motifs in most data sets, revealing new motifs and validating known ones. The motif sites (TF binding sites) are highly conserved evolutionarily and show distinct footprints upon DNase I digestion. We frequently detected secondary motifs in addition to the canonical motifs of the TFs, indicating tethered binding and cobinding between multiple TFs. We observed significant position and orientation preferences between many cobinding TFs. Genes specifically expressed in a cell line are often associated with a greater occurrence of nearby TF binding in that cell line. We observed cell-linespecific secondary motifs that mediate the binding of the histone deacetylase HDAC2 and the enhancer-binding protein EP300. TF binding sites are located in GC-rich, nucleosome-depleted, and DNase I sensitive regions, flanked by wellpositioned nucleosomes, and many of these features show cell type specificity. The GC-richness may be beneficial for regulating TF binding because, when unoccupied by a TF, these regions are occupied by nucleosomes in vivo. We present the results of our analysis in a TF-centric web repository Factorbook (http://factorbook.org) and will continually update this repository as more ENCODE data are generated.

Chromatin plays roles in processes governed by different time scales. To assay the dynamic behavior of chromatin in living cells, we used genomic tiling arrays to measure histone H3 turnover in G1-arrested Saccharomyces cerevisiae at single-nucleosome resolution over 4% of the genome, and at lower (approximately 265 base pair) resolution over the entire genome. We find that nucleosomes at promoters are replaced more rapidly than at coding regions and that replacement rates over coding regions correlate with polymerase density. In addition, rapid histone turnover is found at known chromatin boundary elements. These results suggest that rapid histone turnover serves to functionally separate chromatin domains and prevent spread of histone states.

Genome-wide mapping of nucleosomes has revealed a great deal about the relationships between chromatin structure and control of gene expression, and has led to mechanistic hypotheses regarding the rules by which chromatin structure is established. High-throughput sequencing has recently become the technology of choice for chromatin mapping studies, yet analysis of these experiments is still in its infancy. Here, we introduce a pipeline for analyzing deep sequencing maps of chromatin structure and apply it to data from S. cerevisiae. We analyze a digestion series where nucleosomes are isolated from under-and overdigested chromatin. We find that certain classes of nucleosomes are unusually susceptible or resistant to overdigestion, with promoter nucleosomes easily digested and mid-coding region nucleosomes being quite stable. We find evidence for highly sensitive nucleosomes located within ''nucleosome-free regions,'' suggesting that these regions are not always completely naked but instead are likely associated with easily digested nucleosomes. Finally, since RNA polymerase is the dominant energy-consuming machine that operates on the chromatin template, we analyze changes in chromatin structure when RNA polymerase is inactivated via a temperature-sensitive mutation. We find evidence that RNA polymerase plays a role in nucleosome eviction at promoters and is also responsible for retrograde shifts in nucleosomes during transcription. Loss of RNA polymerase results in a relaxation of chromatin structure to more closely match in vitro nucleosome positioning preferences. Together, these results provide analytical tools and experimental guidance for nucleosome mapping experiments, and help disentangle the interlinked processes of transcription and chromatin packaging.

Materials and MethodsMicro-C protocol for mammals was modified from the original protocol for yeast in (1, 2). The protocol was optimized for the input cell number from 1k to 5M and first applied to the mammalian system in (3). We first briefly summarize the critical steps and concepts in the Micro-C method, and then provide detailed step-by-step instructions. Micro-C experiment 1. Cell culture and crosslinkingHere, we performed a dual crosslinking protocol to fix protein-DNA and protein-protein interactions. In addition to formaldehyde, we used the non-cleavable and membrane-permeable protein-protein crosslinker DSG (disuccinimidyl glutarate, 7.7Å) or EGS (ethylene glycol bis(succinimidyl succinate), 16.1Å) to crosslink the primary amines between proximal proteins. The dual-crosslinking method significantly increases the signal-to-noise ratio of Micro-C data in yeast (2).In brief, 1k -5M cells were resuspended by trypsin and fixed by freshly made 1% formaldehyde at room temperature for 10 minutes. The crosslinking reaction was quenched by adding Tris buffer (pH = 7.5) to final 0.75 M at room temperature. Fixed cells were washed twice with 1X PBS and protein-protein interactions fixed by 3 mM DSG for 45 minutes at room temperature. The DSG solution was freshly made at a 300 mM concentration in DMSO and diluted to 3 mM in 1X PBS before use. The crosslinking reaction was quenched by 0.75 M Tris buffer and washed twice with 1X PBS. Crosslinked cells were snap-frozen in liquid nitrogen and stored at -80°C (pellets are stable for up to a year). Note that freshly made crosslinking solution is critical to producing high-reproducibility Micro-C data, and Tris buffer is a faster and stronger quenching agent than glycine.

Over the past decade, 3C-related methods, complemented by increasingly detailed microscopic views of the nucleus, have provided unprecedented insights into chromosome folding in vivo. Here, to overcome the resolution limits inherent to the majority of genome-wide chromosome architecture mapping studies, we extend a recently-developed Hi-C variant, Micro-C, to map chromosome architecture at nucleosome resolution in human embryonic stem cells and fibroblasts. Micro-C maps robustly capture well-described features of mammalian chromosome folding including .

The histone code hypothesis holds that covalent posttranslational modifications of histone tails are interpreted by the cell to yield a rich combinatorial transcriptional output. This hypothesis has been the subject of active debate in the literature. Here, we investigated the combinatorial complexity of the acetylation code at the four lysine residues of the histone H4 tail in budding yeast. We constructed yeast strains carrying all 15 possible combinations of mutations among lysines 5, 8, 12, and 16 to arginine in the histone H4 tail, mimicking positively charged, unacetylated lysine states, and characterized the resulting genome-wide changes in gene expression by using DNA microarrays. Only the lysine 16 mutation had specific transcriptional consequences independent of the mutational state of the other lysines (affecting Ϸ100 genes). In contrast, for lysines 5, 8, and 12, expression changes were due to nonspecific, cumulative effects seen as increased transcription correlating with an increase in the total number of mutations (affecting Ϸ1,200 genes). Thus, acetylation of histone H4 is interpreted by two mechanisms: a specific mechanism for lysine 16 and a nonspecific, cumulative mechanism for lysines 5, 8, and 12.chromatin ͉ gene expression ͉ histone code ͉ nucleosomes