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Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease. A description is given of the ENCODE consortium’s efforts to examine the principles of human transcriptional regulatory networks; the results are integrated with other genomic information to form a hierarchical meta-network where different levels have distinct properties. ENCODE: architecture of the human regulatory network This manuscript describes the effort of the ENCODE (Encyclopedia of DNA Elements) Consortium to examine the principles of human transcriptional regulatory networks, using a subset of 119 transcription factors. The results are integrated with other genomic information to form a multi-level meta-network in which different levels have distinct properties. The findings will aid future interpretations of human genomics and help us to understand the basic principles of human biology and disease.

Eukaryotic cells make many types of primary and processed RNAs that are found either in specific subcellular compartments or throughout the cells. A complete catalogue of these RNAs is not yet available and their characteristic subcellular localizations are also poorly understood. Because RNA represents the direct output of the genetic information encoded by genomes and a significant proportion of a cell’s regulatory capabilities are focused on its synthesis, processing, transport, modification and translation, the generation of such a catalogue is crucial for understanding genome function. Here we report evidence that three-quarters of the human genome is capable of being transcribed, as well as observations about the range and levels of expression, localization, processing fates, regulatory regions and modifications of almost all currently annotated and thousands of previously unannotated RNAs. These observations, taken together, prompt a redefinition of the concept of a gene. A description is given of the ENCODE effort to provide a complete catalogue of primary and processed RNAs found either in specific subcellular compartments or throughout the cell, revealing that three-quarters of the human genome can be transcribed, and providing a wealth of information on the range and levels of expression, localization, processing fates and modifications of known and previously unannotated RNAs. ENCODE: the transcription landscape These authors describe the ENCODE (Encyclopedia of DNA Elements) effort to provide a complete catalogue of primary and processed RNAs found either in specific sub-cellular compartments or throughout the cell. They show that three-quarters of the human genome can be transcribed, and provide a wealth of information about the range and levels of expression, localization, processing fates and modifications of both known and previously unannotated RNAs. Collectively, these observations suggest that the current concept of a gene should be revisited.

Transcription and regulation of genes originate from transcription pre-initiation complexes (PICs). Their structural and positional organization across eukaryotic genomes is unknown. Here we applied lambda exonuclease to chromatin immunoprecipitates (termed ChIP-exo) to examine the precise location of 6,045 PICs in Saccharomyces . PICs, including RNA polymerase II and protein complexes TFIIA, TFIIB, TFIID (or TBP), TFIIE, TFIIF, TFIIH and TFIIK were positioned within promoters and excluded from coding regions. Exonuclease patterns were in agreement with crystallographic models of the PIC, and were sufficiently precise to identify TATA-like elements at so-called TATA-less promoters. These PICs and their transcription start sites were positionally constrained at TFIID-engaged downstream +1 nucleosomes. At TATA-box-containing promoters, which are depleted of TFIID, a +1 nucleosome was positioned to be in competition with the PIC, which may allow greater latitude in start-site selection. Our genomic localization of messenger RNA and non-coding RNA PICs reveals that two PICs, in inverted orientation, may occupy the flanking borders of nucleosome-free regions. Their unambiguous detection may help distinguish bona fide genes from transcriptional noise. Ultra-high-resolution mapping of the eukaryotic transcription machinery across the yeast genome reveals several unifying principles of pre-initiation complexes at coding and non-coding genes. Mapping eukaryotic pre-initiation complexes Assembly of the RNA polymerase II pre-initiation complex (PIC) is a crucial early step in gene transcription. Here, a high-resolution technique termed ChIP-exo is used to map precisely the binding and composition of PICs across the yeast genome. The findings include the presence of two divergently oriented PICs at promoters, and a broader role for TATA-like elements than was previously appreciated. This allows new insights into the mechanism of transcription.

The mammalian circadian clock involves a transcriptional feedback loop in which CLOCK and BMAL1 activate the Period and Cryptochrome genes, which then feed back and repress their own transcription. We have interrogated the transcriptional architecture of the drcadian transcriptional regulatory loop on a genome scale in mouse liver and find a stereotyped, time-dependent pattern of transcription factor binding, RNA polymerase II (RNAPII) recruitment RNA expression, and chromatin states. We find that the drcadian transcriptional cycle of the clock consists of three distinct phases: a poised state, a coordinated de novo transcriptional activation state, and a repressed state. Only 22% of messenger RNA (mRNA) cycling genes are driven by de novo transcription, suggesting that both transcriptional and posttranscriptional mechanisms underlie the mammalian circadian clock. We also find that drcadian modulation of RNAPII recruitment and chromatin remodeling occurs on a genome-wide scale far greater than that seen previously by gene expression profiling.

RNA polymerases are highly regulated molecular machines. We present a method (global run-on sequencing, GRO-seq) that maps the position, amount, and orientation of transcriptionally engaged RNA polymerases genome-wide. In this method, nuclear run-on RNA molecules are subjected to large-scale parallel sequencing and mapped to the genome. We show that peaks of promoter-proximal polymerase reside on ~30% of human genes, transcription extends beyond pre-messenger RNA 3' cleavage, and antisense transcription is prevalent. Additionally, most promoters have an engaged polymerase upstream and in an orientation opposite to the annotated gene. This divergent polymerase is associated with active genes but does not elongate effectively beyond the promoter. These results imply that the interplay between polymerases and regulators over broad promoter regions dictates the orientation and efficiency of productive transcription.

Bacteria adapt to environmental stimuli by adjusting their transcriptomes in a complex manner, the full potential of which has yet to be established for any individual bacterial species. Here, we report the transcriptomes of Bacillus subtilis exposed to a wide range of environmental and nutritional conditions that the organism might encounter in nature. We comprehensively mapped transcription units (TUs) and grouped 2935 promoters into régulons controlled by various RNA polymerase sigma factors, accounting for ~66% of the observed variance in transcriptional activity. This global classification of promoters and detailed description of TUs revealed that a large proportion of the detected antisense RNAs arose from potentially spurious transcription initiation by alternative sigma factors and from imperfect control of transcription termination.

Cellular messenger RNA levels are achieved by the combinatorial complexity of factors controlling transcription, yet the small number of molecules involved in these pathways fluctuates stochastically. It has not yet been experimentally possible to observe the activity of single polymerases on an endogenous gene to elucidate how these events occur in vivo. Here, we describe a method of fluctuation analysis of fluorescently labeled RNA to measure dynamics of nascent RNA—including initiation, elongation, and termination—at an active yeast locus. We find no transcriptional memory between initiation events, and elongation speed can vary by threefold throughout the cell cycle. By measuring the abundance and intranuclear mobility of an upstream transcription factor, we observe that the gene firing rate is directly determined by trans-activating factor search times.

The recent discovery that most of the eukaryotic genome is transcribed has focused interest on the importance of non-coding transcripts. Long non-coding RNAs are emerging as a class with wide-ranging functions in gene regulation. In mammals and other eukaryotes most of the genome is transcribed in a developmentally regulated manner to produce large numbers of long non-coding RNAs (ncRNAs). Here we review the rapidly advancing field of long ncRNAs, describing their conservation, their organization in the genome and their roles in gene regulation. We also consider the medical implications, and the emerging recognition that any transcript, regardless of coding potential, can have an intrinsic function as an RNA.

Alternative splicing of pre-mRNA is a prominent mechanism to generate protein diversity, yet its regulation is poorly understood. We demonstrated a direct role for histone modifications in alternative splicing. We found distinctive histone modification signatures that correlate with the splicing outcome in a set of human genes, and modulation of histone modifications causes splice site switching. Histone marks affect splicing outcome by influencing the recruitment of splicing regulators via a chromatin-binding protein. These results outline an adaptor system for the reading of histone marks by the pre-mRNA splicing machinery.

Vernalization is an environmentally-induced epigenetic switch in which winter cold triggers epigenetic silencing of floral repressors and thus provides competence to flower in spring. In Arabidopsis, winter cold triggers enrichment of tri-methylated histone H3 Lys²⁷ at chromatin of the floral repressor, FLOWERING LOCUS C (FLC), and results in epigenetically stable repression of FLC. This epigenetic change is mediated by an evolutionarily conserved repressive complex, polycomb repressive complex 2 (PRC2). Here, we show that a long intronic noncoding RNA [termed COLD ASSISTED INTRONIC NONCODING RNA (COLDAIR)] is required for the vernalization-mediated epigenetic repression of FLC. COLDAIR physically associates with a component of PRC2 and targets PRC2 to FLC. Our results show that COLDAIR is required for establishing stable repressive chromatin at FLC through its interaction with PRC2.