Genome-wide approaches for identification of nuclear receptor target genes

Role of SUMOylation in full antiestrogenicity

The selective estrogen receptor downregulator (SERD) fulvestrant can be used as second-line treatment for patients relapsing after treatment with tamoxifen, a selective estrogen receptor modulator (SERM). Unlike tamoxifen, SERDs are devoid of partial agonist activity. While the full antiestrogenicity of SERDs may result in part from their capacity to downregulate levels of estrogen receptor alpha (ERα) through proteasome-mediated degradation, SERDs are also fully antiestrogenic in the absence of increased receptor turnover in HepG2 cells. Here we report that SERDs induce the rapid and strong SUMOylation of ERα in ERα-positive and -negative cell lines, including HepG2 cells. Four sites of SUMOylation were identified by mass spectrometry analysis. In derivatives of the SERD ICI164,384, SUMOylation was dependent on the length of the side chain and correlated with full antiestrogenicity. Preventing SUMOylation by the overexpression of a SUMO-specific protease (SENP) deSUMOylase partially derepressed transcription in the presence of full antiestrogens in HepG2 cells without a corresponding increase in activity in the presence of agonists or of the SERM tamoxifen. Mutations increasing transcriptional activity in the presence of full antiestrogens reduced SUMOylation levels and suppressed stimulation by SENP1. Our results indicate that ERα SUMOylation contributes to full antiestrogenicity in the absence of accelerated receptor turnover.

Genomic analyses of hormone signaling and gene regulation

Many cellular signaling pathways ultimately control specific patterns of gene expression in the nucleus through a variety of signal-regulated transcription factors (TFs), including nuclear hormone receptors (NRs). The advent of genomic technologies for examining signal-regulated transcriptional responses and TF binding on a genomic scale has dramatically increased our understanding of the cellular programs that control hormonal signaling and gene regulation. Studies of TFs, especially NRs, using genomic approaches have revealed novel and unexpected features of hormone-regulated transcription, and a global view is beginning to emerge. In this review, we discuss the genomic methodologies that have been applied to the study of hormone-regulated gene expression, the results that have been obtained from using them, and the future prospects for these approaches. Given the wealth of information about hormone-dependent gene regulation by NRs, we have focused this review on the knowledge gained from genomic studies of their function.

atRA Regulation of NEDD9, a gene involved in neurite outgrowth and cell adhesion

We previously identified NEDD9 (RAINB2/HEF1/Cas-L) as a new downstream target of all-trans retinoic acid (atRA) and its receptors in the human neuroblastoma cell line, SH-SY5Y [R.A. Merrill, A.W.-M. See, M.L. Wertheim, M. Clagett-Dame, Dev. Dyn. 231 (2004) 564-575; R.A. Merrill, J.M. Ahrens, M.E. Kaiser, K.S. Federhart, V.Y. Poon, M. Clagett-Dame, Biol. Chem. 385 (2004) 605-614]. We now provide functional evidence that NEDD9 is directly regulated by atRA through a complex retinoic acid response element (RARE) located in the NEDD9 proximal promoter and consisting of four conserved half-sites separated by 1, 5, and 1 intervening base pairs. We show that a region of the human NEDD9 promoter from -1670 to +15 is sufficient to confer atRA-responsiveness and that a complex RARE located from -475 to -445 is necessary for this effect. While mutation of any one half-site does not eliminate complex formation in electrophoretic mobility shift assays (EMSA); these same mutations, when tested in transient transfection assays, markedly decrease atRA-responsiveness. Finally, chromatin immunoprecipitation (ChIP) assays demonstrate that RAR and RXR are bound to the RARE in cells.

Probability landscapes for integrative genomics

Background

The comprehension of the gene regulatory code in eukaryotes is one of the major challenges of systems biology, and is a requirement for the development of novel therapeutic strategies for multifactorial diseases. Its bi-fold degeneration precludes brute force and statistical approaches based on the genomic sequence alone. Rather, recursive integration of systematic, whole-genome experimental data with advanced statistical regulatory sequence predictions needs to be developed. Such experimental approaches as well as the prediction tools are only starting to become available and increasing numbers of genome sequences and empirical sequence annotations are under continual discovery-driven change. Furthermore, given the complexity of the question, a decade(s) long multi-laboratory effort needs to be envisioned. These constraints need to be considered in the creation of a framework that can pave a road to successful comprehension of the gene regulatory code.

Results

We introduce here a concept for such a framework, based entirely on systematic annotation in terms of probability profiles of genomic sequence using any type of relevant experimental and theoretical information and subsequent cross-correlation analysis in hypothesis-driven model building and testing.

Conclusion

Probability landscapes, which include as reference set the probabilistic representation of the genomic sequence, can be used efficiently to discover and analyze correlations amongst initially heterogeneous and un-relatable descriptions and genome-wide measurements. Furthermore, this structure is usable as a support for automatically generating and testing hypotheses for alternative gene regulatory grammars and the evaluation of those through statistical analysis of the high-dimensional correlations between genomic sequence, sequence annotations, and experimental data. Finally, this structure provides a concrete and tangible basis for attempting to formulate a mathematical description of gene regulation in eukaryotes on a genome-wide scale.

A global view of transcriptional regulation by nuclear receptors: gene expression, factor localization, and DNA sequence analysis

Recent genomic analyses of transcription factor binding, histone modification, and gene expression have provided a global view of transcriptional regulation by nuclear receptors (NRs) that complements an existing large body of literature on gene-specific studies. The picture emerging from these genomic studies indicates that NRs bind at promoter-proximal and promoter-distal enhancers in conjunction with other transcription factors (e.g., activator protein-1, Sp1 and FOXA1). This binding promotes the recruitment of coregulators that mediate the posttranslational modification of histones at promoters and enhancers. Ultimately, signaling through liganded NRs stimulates changes in the occupancy of RNA polymerase II (Pol II) or the activation of preloaded Pol II at target promoters. Chromosomal looping and/or Pol II tracking may underlie promoter-enhancer communication. Interestingly, the direct target genes of NR signaling represent a limited subset of all the genes regulated by NR ligands, with the rest being regulated through secondary effects. As suggested by previous gene-specific analyses, NR-mediated outcomes are highly cell type- and promoter-specific, highlighting the complexity of transcriptional regulation by NRs and the value of genomic analyses for identifying commonly shared patterns. Overall, NRs share common themes in their patterns of localization and transcriptional regulation across mammalian genomes. In this review, we provide an overview of recent advances in the understanding of NR-mediated transcription garnered from genomic analyses of gene expression, factor localization, and target DNA sequences.