From steroid receptors to cytokines: The thermodynamics of self-associating systems

Since 1987, the Gibbs Conference on Biothermodynamics has maintained a focus on understanding the quantitative aspects of gene regulatory systems. These studies coupled rigorous techniques with exact theory to dissect the linked reactions associated with bacterial and lower eukaryotic gene regulation. However, only in the last ten years has it become possible to apply this approach to clinically relevant, human gene regulatory systems. Here we summarize our work on the thermodynamics of human steroid receptors and their interactions with multi-site promoter sequences, highlighting results not available from more traditional biochemical and structural approaches. Noting that the Gibbs Conference has also served as a vehicle to promote the broader use of thermodynamics in understanding biology, we then discuss collaborative work on the hydrodynamics of a cytokine implicated in tumor suppression, prostate derived factor (PDF)

Glucocorticoid Receptor–Promoter Interactions: Energetic Dissection Suggests a Framework for the Specificity of Steroid Receptor-Mediated Gene Regulation

The glucocorticoid receptor (GR) is a member of the steroid receptor family of ligand-activated transcription factors. A number of studies have shown that steroid receptors regulate distinct but overlapping sets of genes; however, the molecular basis for such specificity remains unclear. Previous work from our laboratory has demonstrated that under identical solution conditions, three other steroid receptors [the progesterone receptor A isoform (PR-A), the progesterone receptor B isoform (PR-B), and estrogen receptor α (ER-α)] differentially partition their self-association and promoter binding energetics. For example, PR-A and PR-B generate similar dimerization free energies but differ significantly in their extents of intersite cooperativity. Conversely, ER-α maintains an intersite cooperativity most comparable to that of PR-A yet dimerizes with an affinity orders of magnitude greater than that of either of the PR isoforms. We have speculated that these differences serve to generate receptor-specific promoter occupancies, and thus receptor-specific gene regulation. Noting that GR regulates a unique subset of genes relative to the other receptors, we hypothesized that the receptor should maintain a unique set of interaction energetics. We rigorously determined the self-association and promoter binding energetics of full-length, human GR under conditions identical to those used in our earlier studies. We find that unlike all other receptors, GR shows no evidence of reversible self-association. Moreover, GR assembles with strong intersite cooperativity comparable to that seen only for PR-B. Finally, simulations show that such partitioning of interaction energetics allows for receptor-specific promoter occupancies, even under conditions where multiple receptors are competing for binding at identical sites

Glucocorticoid Receptor–DNA Interactions: Binding Energetics Are the Primary Determinant of Sequence-Specific Transcriptional Activity

AbstractThe glucocorticoid receptor (GR) is a member of the steroid receptor family of ligand-activated transcription factors. A long-standing question has focused on how GR and other receptors precisely control gene expression. One difficulty in addressing this is that GR function is influenced by multiple factors including ligand and coactivator levels, chromatin state, and allosteric coupling. Moreover, the receptor recognizes an array of DNA sequences that generate a range of transcriptional activities. Such complexity suggests that any single parameter—DNA binding affinity, for example—is unlikely to be a dominant contributor to function. Indeed, a number of studies have suggested that for GR and other receptors, binding affinity toward different DNA sequences is poorly correlated with transcriptional activity. As a step toward determining the factors most predictive of GR function, we rigorously examined the relationship between in vitro GR-DNA binding energetics and in vivo transcriptional activity. We first demonstrate that previous approaches for assessing affinity–function relationships are problematic due to issues of data transformation and linearization. Thus, the conclusion that binding energetics and transcriptional activity are poorly correlated is premature. Using more appropriate analyses, we find that energetics and activity are in fact highly correlated. Furthermore, this correlation can be quantitatively accounted for using simple binding models. Finally, we show that the strong relationship between energetics and transcriptional activity is recapitulated in multiple promoter contexts, cell lines, and chromatin environments. Thus, despite the complexity of GR function, DNA binding energetics are the primary determinant of sequence-specific transcriptional activity