Genome-wide analysis of core promoter elements from conserved human and mouse orthologous pairs

Immediate-early and delayed primary response genes are distinct in function and genomic architecture

The transcriptional program induced by growth factor stimulation is classically described in two stages as follows: the rapid protein synthesis-independent induction of immediate-early genes, followed by the subsequent protein synthesis-dependent induction of secondary response genes. In this study, we obtained a comprehensive view of this transcriptional program. As expected, we identified both rapid and delayed gene inductions. Surprisingly, however, a large fraction of genes induced with delayed kinetics did not require protein synthesis and therefore represented delayed primary rather than secondary response genes. Of 133 genes induced within 4 h of growth factor stimulation, 49 (37%) were immediate-early genes, 58 (44%) were delayed primary response genes, and 26 (19%) were secondary response genes. Comparison of immediate-early and delayed primary response genes revealed functional and regulatory differences. Whereas many immediate-early genes encoded transcription factors, transcriptional regulators were not prevalent among the delayed primary response genes. The lag in induction of delayed primary response compared with immediate-early mRNAs was because of delays in both transcription initiation and subsequent stages of elongation and processing. Consistent with increased abundance of RNA polymerase II at their promoters, immediate-early genes were characterized by over-representation of transcription factor binding sites and high affinity TATA boxes. Immediate-early genes also had short primary transcripts with few exons, whereas delayed primary response genes more closely resembled other genes in the genome. These findings suggest that genomic features of immediate-early genes, in contrast to the delayed primary response genes, are selected for rapid induction, consistent with their regulatory functions.

Global distribution of negative cofactor 2 subunit-alpha on human promoters

Negative cofactor 2 (NC2) forms a stable complex with TATA-binding protein (TBP) on promoters in vitro. Its association with TBP prevents the binding of TFIIB and leads to inhibition of preinitiation complex formation. Here, we investigate the association of NC2 subunit-alpha with human RNA polymerase II promoter regions by using gene-specific ChIP and genome-wide promoter ChIPchip analyses. We find NC2alpha associated with a large number of human promoters, where it peaks close to the core regions. NC2 occupancy in vivo positively correlates with mRNA levels, which perhaps reflects its capacity to stabilize TBP on promoter regions. In single gene analyses, we confirm core promoter binding and in addition map the NC2 complex to enhancer proximal regions. High-occupancy histone genes display a stable NC2/TFIIB ratio during the cell cycle, which otherwise varies markedly from one gene to another. The latter is at least in part explained by an observed negative correlation of NC2 occupancy with the presence of the TFIIB recognition element in core promoter regions. Our data establish the genome-wide basis for general and gene-specific functions of NC2 in mammalian cells.

Constructing human transcriptional regulatory subnets from crossgenome comparison and gene expression profile analysis

With the completion of Human Genome Project (HGP), understanding the complex interaction between trans- and cis-regulatory elements comprehensively and identifying these potential functional elements are fundamental problems in functional genomics. Although many computational approaches have been developed for lower eukaryotes and prokaryotes, most of them often do not generalize to vertebrates. Here, we use a decay function to characterize transcriptional behavior, and analyze correlations on gene expression profiles of human and mouse to construct coregulated gene groups. Using these two closely related species, we perform comparative genome analysis and identify target genes and conserved functional cis-regulatory elements by motif overrepresentation. Moreover, we presented experimental evidences (ChIP-Chip) for E2F to assert our findings.

Bioinformatics tools for modeling transcription factor target genes and epigenetic changes

The combinatorial control of gene regulatory switches involves both transcription factor (TF) complexes and associated epigenetic modifications to the chromatin template. The novel high-throughput technologies, such as Chromatin ImmunoPrecipitation ChIP-chip, have enabled genome-wide in vivo identification of TF target regulatory regions and related epigenetic modifications, which led to the view of highly dynamic TF-DNA interactions in activated or repressed promoters. Consequently, modeling and elucidating the combinatorial interaction of TFs and corresponding cis-regulatory modules in target promoters is of paramount interest. An estimated 5% of the genes in mammalian genomes code for TF proteins, and computational modeling of cis-regulatory logic would rapidly increase the pace of experimental confirmation of TF target promoters at the bench. The purpose of this chapter is to discuss the use of different bioinformatics tools for predicting the target genes of TFs of interest in mammalian genomes, and the application of these methods in the analysis of ChIP-chip experimental data. The author describes most commonly used databases and prediction programs that are available on the World Wide Web and demonstrate the use of some of these programs by an example. A list of these programs is provided along with their web Uniform Resource Locator (URLs) and guidelines for successful application are suggested.

MicroRNAs preferentially target the genes with high transcriptional regulation complexity

Over the past few years, microRNAs (miRNAs) have emerged as a new prominent class of gene regulatory factors that negatively regulate expression of approximately one-third of the genes in animal genomes at post-transcriptional level. However, it is still unclear why some genes are regulated by miRNAs but others are not, i.e. what principles govern miRNA regulation in animal genomes. In this study, we systematically analyzed the relationship between transcription factors (TFs) and miRNAs in gene regulation. We found that the genes with more TF-binding sites have a higher probability of being targeted by miRNAs and have more miRNA-binding sites on average. This observation reveals that the genes with higher cis-regulation complexity are more coordinately regulated by TFs at the transcriptional level and by miRNAs at the post-transcriptional level. This is a potentially novel discovery of mechanism for coordinated regulation of gene expression. Gene ontology analysis further demonstrated that such coordinated regulation is more popular in the developmental genes.

A computational genomics approach to identify cis-regulatory modules from chromatin immunoprecipitation microarray data--a case study using E2F1

Advances in high-throughput technologies, such as ChIP-chip, and the completion of human and mouse genomic sequences now allow analysis of the mechanisms of gene regulation on a systems level. In this study, we have developed a computational genomics approach (termed ChIPModules), which begins with experimentally determined binding sites and integrates positional weight matrices constructed from transcription factor binding sites, a comparative genomics approach, and statistical learning methods to identify transcriptional regulatory modules. We began with E2F1 binding site information obtained from ChIP-chip analyses of ENCODE regions, from both HeLa and MCF7 cells. Our approach not only distinguished targets from nontargets with a high specificity, but it also identified five regulatory modules for E2F1. One of the identified modules predicted a colocalization of E2F1 and AP-2alpha on a set of target promoters with an intersite distance of <270 bp. We tested this prediction using ChIP-chip assays with arrays containing approximately 14,000 human promoters. We found that both E2F1 and AP-2alpha bind within the predicted distance to a large number of human promoters, demonstrating the strength of our sequence-based, unbiased, and universal protocol. Finally, we have used our ChIPModules approach to develop a database that includes thousands of computationally identified and/or experimentally verified E2F1 target promoters.

Prevalence of the initiator over the TATA box in human and yeast genes and identification of DNA motifs enriched in human TATA-less core promoters

The core promoter of eukaryotic genes is the minimal DNA region that recruits the basal transcription machinery to direct efficient and accurate transcription initiation. The fraction of human and yeast genes that contain specific core promoter elements such as the TATA box and the initiator (INR) remains unclear and core promoter motifs specific for TATA-less genes remain to be identified. Here, we present genome-scale computational analyses indicating that approximately 76% of human core promoters lack TATA-like elements, have a high GC content, and are enriched in Sp1-binding sites. We further identify two motifs - M3 (SCGGAAGY) and M22 (TGCGCANK) - that occur preferentially in human TATA-less core promoters. About 24% of human genes have a TATA-like element and their promoters are generally AT-rich; however, only approximately 10% of these TATA-containing promoters have the canonical TATA box (TATAWAWR). In contrast, approximately 46% of human core promoters contain the consensus INR (YYANWYY) and approximately 30% are INR-containing TATA-less genes. Significantly, approximately 46% of human promoters lack both TATA-like and consensus INR elements. Surprisingly, mammalian-type INR sequences are present - and tend to cluster - in the transcription start site (TSS) region of approximately 40% of yeast core promoters and the frequency of specific core promoter types appears to be conserved in yeast and human genomes. Gene Ontology analyses reveal that TATA-less genes in humans, as in yeast, are frequently involved in basic "housekeeping" processes, while TATA-containing genes are more often highly regulated, such as by biotic or stress stimuli. These results reveal unexpected similarities in the occurrence of specific core promoter types and in their associated biological processes in yeast and humans and point to novel vertebrate-specific DNA motifs that might play a selective role in TATA-independent transcription.