Mechanism of Transcription Factor Recruitment by Acidic Activators

Commonly asked questions about transcriptional activation domains

Eukaryotic transcription factors activate gene expression with their DNA-binding domains and activation domains. DNA-binding domains bind the genome by recognizing structurally related DNA sequences; they are structured, conserved, and predictable from protein sequences. Activation domains recruit chromatin modifiers, coactivator complexes, or basal transcriptional machinery via structurally diverse protein-protein interactions. Activation domains and DNA-binding domains have been called independent, modular units, but there are many departures from modularity, including interactions between these regions and overlap in function. Compared to DNA-binding domains, activation domains are poorly understood because they are poorly conserved, intrinsically disordered, and difficult to predict from protein sequences. This review, organized around commonly asked questions, describes recent progress that the field has made in understanding the sequence features that control activation domains and predicting them from sequence.

Clusters of acidic and hydrophobic residues can predict acidic transcriptional activation domains from protein sequence

Transcription factors activate gene expression in development, homeostasis, and stress with DNA binding domains and activation domains. Although there exist excellent computational models for predicting DNA binding domains from protein sequence, models for predicting activation domains from protein sequence have lagged, particularly in metazoans. We recently developed a simple and accurate predictor of acidic activation domains on human transcription factors. Here, we show how the accuracy of this human predictor arises from the clustering of aromatic, leucine, and acidic residues, which together are necessary for acidic activation domain function. When we combine our predictor with the predictions of convolutional neural network (CNN) models trained in yeast, the intersection is more accurate than individual models, emphasizing that each approach carries orthogonal information. We synthesize these findings into a new set of activation domain predictions on human transcription factors.

The evolution and polymorphism of mono-amino acid repeats in androgen receptor and their regulatory role in health and disease

Androgen receptor (AR) is a key member of nuclear hormone receptors with the longest intrinsically disordered N-terminal domain (NTD) in its protein family. There are four mono-amino acid repeats (polyQ1, polyQ2, polyG, and polyP) located within its NTD, of which two are polymorphic (polyQ1 and polyG). The length of both polymorphic repeats shows clinically important correlations with disease, especially with cancer and neurodegenerative diseases, as shorter and longer alleles exhibit significant differences in expression, activity and solubility. Importantly, AR has also been shown to undergo condensation in the nucleus by liquid-liquid phase separation, a process highly sensitive to protein solubility and concentration. Nonetheless, in prostate cancer cells, AR variants also partition into transcriptional condensates, which have been shown to alter the expression of target gene products. In this review, we summarize current knowledge on the link between AR repeat polymorphisms and cancer types, including mechanistic explanations and models comprising the relationship between condensate formation, polyQ1 length and transcriptional activity. Moreover, we outline the evolutionary paths of these recently evolved amino acid repeats across mammalian species, and discuss new research directions with potential breakthroughs and controversies in the literature.

Compendium of human transcription factor effector domains

Transcription factors (TFs) regulate gene expression by binding to DNA sequences and modulating transcriptional activity through their effector domains. Despite the central role of effector domains in TF function, there is a current lack of a comprehensive resource and characterization of effector domains. Here, we provide a catalog of 924 effector domains across 594 human TFs. Using this catalog, we characterized the amino acid composition of effector domains, their conservation across species and across the human population, and their roles in human diseases. Furthermore, we provide a classification system for effector domains that constitutes a valuable resource and a blueprint for future experimental studies of TF effector domain function.

Directed mutational scanning reveals a balance between acidic and hydrophobic residues in strong human activation domains

Acidic activation domains are intrinsically disordered regions of the transcription factors that bind coactivators. The intrinsic disorder and low evolutionary conservation of activation domains have made it difficult to identify the sequence features that control activity. To address this problem, we designed thousands of variants in seven acidic activation domains and measured their activities with a high-throughput assay in human cell culture. We found that strong activation domain activity requires a balance between the number of acidic residues and aromatic and leucine residues. These findings motivated a predictor of acidic activation domains that scans the human proteome for clusters of aromatic and leucine residues embedded in regions of high acidity. This predictor identifies known activation domains and accurately predicts previously unidentified ones. Our results support a flexible acidic exposure model of activation domains in which the acidic residues solubilize hydrophobic motifs so that they can interact with coactivators. A record of this paper’s transparent peer review process is included in the supplemental information.

Transcriptional activation domains are poorly conserved, intrinsically disordered regions of the transcription factors that remain difficult to predict from protein sequences. A high-throughput method reveals how strong activation domains require a balance between acidic and hydrophobic residues. This balance powers an accurate predictor of activation domains on human transcription factors.

Activation of gene expression by detergent-like protein domains

The mechanisms by which transcriptional activation domains (tADs) initiate eukaryotic gene expression have been an enigma for decades because most tADs lack specificity in sequence, structure, and interactions with targets. Machine learning analysis of data sets of tAD sequences generated in vivo elucidated several functionality rules: the functional tAD sequences should (i) be devoid of or depleted with basic amino acid residues, (ii) be enriched with aromatic and acidic residues, (iii) be with aromatic residues localized mostly near the terminus of the sequence, and acidic residues localized more internally within a span of 20-30 amino acids, (iv) be with both aromatic and acidic residues preferably spread out in the sequence and not clustered, and (v) not be separated by occasional basic residues. These and other more subtle rules are not absolute, reflecting absence of a tAD consensus sequence, enormous variability, and consistent with surfactant-like tAD biochemical properties. The findings are compatible with the paradigm-shifting nucleosome detergent mechanism of gene expression activation, contributing to the development of the liquid-liquid phase separation model and the biochemistry of near-stochastic functional allosteric interactions.

SMARCB1 deletion in atypical teratoid rhabdoid tumors results in human endogenous retrovirus K (HML-2) expression

Atypical Teratoid Rhabdoid Tumor (AT/RT) is a rare pediatric central nervous system cancer often characterized by deletion or mutation of SMARCB1, a tumor suppressor gene. In this study, we found that SMARCB1 regulates Human Endogenous Retrovirus K (HERV-K, subtype HML-2) expression. HML-2 is a repetitive element scattered throughout the human genome, encoding several intact viral proteins that have been associated with stem cell maintenance and tumorigenesis. We found HML-2 env expression in both the intracellular and extracellular compartments in all AT/RT cell lines (n = 4) and in 95% of AT/RT patient tissues (n = 37) evaluated. SMARCB1 knock-down in neural stem cells (NSCs) led to an upregulation of HML-2 transcription. We found that SMARCB1 binds adjacent to the HML-2 promoter, repressing its transcription via chromatin immunoprecipitation; restoration of SMARCB1 expression in AT/RT cell lines significantly downregulated HML-2 expression. Further, targeted downregulation of HML-2 transcription via CRISPR-dCas9 coupled with suppressor proteins led to cellular dispersion, decreased proliferation, and cell death in vitro. HML-2 knock-down with shRNA, siRNA, and CRISPR-dCas9 significantly decreased Ras expression as measured by qRT-PCR, suggesting that HML-2 modulates MAPK/ERK signaling in AT/RT cells. Overexpression of NRAS was sufficient to restore cellular proliferation, and MYC, a transcription factor downstream of NRAS, was bound to the HERV-K LTR significantly more in the absence of SMARCB1 expression in AT/RT cells. We show a mechanism by which these undifferentiated tumors remain pluripotent, and we demonstrate that their formation is aided by aberrant HML-2 activation, which is dependent on SMARCB1 and its interaction with MYC.

Simple biochemical features underlie transcriptional activation domain diversity and dynamic, fuzzy binding to Mediator

Gene activator proteins comprise distinct DNA-binding and transcriptional activation domains (ADs). Because few ADs have been described, we tested domains tiling all yeast transcription factors for activation in vivo and identified 150 ADs. By mRNA display, we showed that 73% of ADs bound the Med15 subunit of Mediator, and that binding strength was correlated with activation. AD-Mediator interaction in vitro was unaffected by a large excess of free activator protein, pointing to a dynamic mechanism of interaction. Structural modeling showed that ADs interact with Med15 without shape complementarity (‘fuzzy’ binding). ADs shared no sequence motifs, but mutagenesis revealed biochemical and structural constraints. Finally, a neural network trained on AD sequences accurately predicted ADs in human proteins and in other yeast proteins, including chromosomal proteins and chromatin remodeling complexes. These findings solve the longstanding enigma of AD structure and function and provide a rationale for their role in biology.

Cells adapt and respond to changes by regulating the activity of their genes. To turn genes on or off, they use a family of proteins called transcription factors. Transcription factors influence specific but overlapping groups of genes, so that each gene is controlled by several transcription factors that act together like a dimmer switch to regulate gene activity.

The presence of transcription factors attracts proteins such as the Mediator complex, which activates genes by gathering the protein machines that read the genes. The more transcription factors are found near a specific gene, the more strongly they attract Mediator and the more active the gene is. A specific region on the transcription factor called the activation domain is necessary for this process. The biochemical sequences of these domains vary greatly between species, yet activation domains from, for example, yeast and human proteins are often interchangeable.

To understand why this is the case, Sanborn et al. analyzed the genome of baker’s yeast and identified 150 activation domains, each very different in sequence. Three-quarters of them bound to a subunit of the Mediator complex called Med15. Sanborn et al. then developed a machine learning algorithm to predict activation domains in both yeast and humans. This algorithm also showed that negatively charged and greasy regions on the activation domains were essential to be activated by the Mediator complex.

Further analyses revealed that activation domains used different poses to bind multiple sites on Med15, a behavior known as ‘fuzzy’ binding. This creates a high overall affinity even though the binding strength at each individual site is low, enabling the protein complexes to remain dynamic. These weak interactions together permit fine control over the activity of several genes, allowing cells to respond quickly and precisely to many changes.

The computer algorithm used here provides a new way to identify activation domains across species and could improve our understanding of how living things grow, adapt and evolve. It could also give new insights into mechanisms of disease, particularly cancer, where transcription factors are often faulty.

The SAGA chromatin-modifying complex: the sum of its parts is greater than the whole

In this review, Soffers and Workman discuss the initial discovery of the canonical SAGA complex, the subsequent studies that have shaped our view on the internal organization of its subunits into modules, and the latest structural work that visualizes the modules and provides insights into their function.

There are many large protein complexes involved in transcription in a chromatin context. However, recent studies on the SAGA coactivator complex are generating new paradigms for how the components of these complexes function, both independently and in concert. This review highlights the initial discovery of the canonical SAGA complex 23 years ago, our evolving understanding of its modular structure and the relevance of its modular nature for its coactivator function in gene regulation.

The evolution of the 9aaTAD domain in Sp2 proteins: inactivation with valines and intron reservoirs

The universal nine-amino-acid transactivation domains (9aaTADs) have been identified in numerous transcription activators. Here, we identified the conserved 9aaTAD motif in all nine members of the specificity protein (SP) family. Previously, the Sp1 transcription factor has been defined as a glutamine-rich activator. We showed by amino acid substitutions that the glutamine residues are completely dispensable for 9aaTAD function and are not conserved in the SP family. We described the origin and evolutionary history of 9aaTADs. The 9aaTADs of the ancestral Sp2 gene became inactivated in early chordates. We next discovered that an accumulation of valines in 9aaTADs inactivated their transactivation function and enabled their strict conservation during evolution. Subsequently, in chordates, Sp2 has duplicated and created new paralogs, Sp1, Sp3, and Sp4 (the SP1-4 clade). During chordate evolution, the dormancy of the Sp2 activation domain lasted over 100 million years. The dormant but still intact ancestral Sp2 activation domains allowed diversification of the SP1-4 clade into activators and repressors. By valine substitution in the 9aaTADs, Sp1 and Sp3 regained their original activator function found in ancestral lower metazoan sea sponges. Therefore, the vertebrate SP1-4 clade could include both repressors and activators. Furthermore, we identified secondary 9aaTADs in Sp2 introns present from fish to primates, including humans. In the gibbon genome, introns containing 9aaTADs were used as exons, which turned the Sp2 gene into an activator. Similarly, we identified introns containing 9aaTADs used conditionally as exons in the (SP family-unrelated) transcription factor SREBP1, suggesting that the intron-9aaTAD reservoir is a general phenomenon.

A High-Throughput Mutational Scan of an Intrinsically Disordered Acidic Transcriptional Activation Domain

Transcriptional activation domains are essential for gene regulation, but their intrinsic disorder and low primary sequence conservation have made it difficult to identify the amino acid composition features that underlie their activity. Here, we describe a rational mutagenesis scheme that deconvolves the function of four activation domain sequence features-acidity, hydrophobicity, intrinsic disorder, and short linear motifs-by quantifying the activity of thousands of variants in vivo and simulating their conformational ensembles using an all-atom Monte Carlo approach. Our results with a canonical activation domain from the Saccharomyces cerevisiae transcription factor Gcn4 reconcile existing observations into a unified model of its function: the intrinsic disorder and acidic residues keep two hydrophobic motifs from driving collapse. Instead, the most-active variants keep their aromatic residues exposed to the solvent. Our results illustrate how the function of intrinsically disordered proteins can be revealed by high-throughput rational mutagenesis.

A subset of functional adaptation mutations alter propensity for α-helical conformation in the intrinsically disordered glucocorticoid receptor tau1core activation domain

BACKGROUND

Adaptive mutations that alter protein functionality are enriched within intrinsically disordered protein regions (IDRs), thus conformational flexibility correlates with evolvability. Pre-structured motifs (PreSMos) with transient propensity for secondary structure conformation are believed to be important for IDR function. The glucocorticoid receptor tau1core transcriptional activation domain (GR tau1core) domain contains three α-helical PreSMos in physiological buffer conditions.

METHODS

Sixty change-of-function mutants affecting the intrinsically disordered 58-residue GR tau1core were studied using disorder prediction and molecular dynamics simulations.

RESULTS

Change-of-function mutations were partitioned into seven clusters based on their effect on IDR predictions and gene activation activity. Some mutations selected from clusters characterized by mutations altering the IDR prediction score, altered the apparent stability of the α-helical form of one of the PreSMos in molecular dynamics simulations, suggesting PreSMo stabilization or destabilization as strategies for functional adaptation. Indeed all tested gain-of-function mutations affecting this PreSMo were associated with increased stability of the α-helical PreSMo conformation, suggesting that PreSMo stabilization may be the main mechanism by which adaptive mutations can increase the activity of this IDR type. Some mutations did not appear to affect PreSMo stability.

CONCLUSIONS

Changes in PreSMo stability account for the effects of a subset of change-of-function mutants affecting the GR tau1core IDR.

GENERAL SIGNIFICANCE

Long IDRs occur in about 50% of human proteins. They are poorly characterized despite much recent attention. Our results suggest the importance of a subtle balance between PreSMo stability and IDR activity, which may provide a novel target for future pharmaceutical intervention.

Unified understanding of folding and binding mechanisms of globular and intrinsically disordered proteins

Extensive experimental and theoretical studies have advanced our understanding of the mechanisms of folding and binding of globular proteins, and coupled folding and binding of intrinsically disordered proteins (IDPs). The forces responsible for conformational changes and binding are common in both proteins; however, these mechanisms have been separately discussed. Here, we attempt to integrate the mechanisms of coupled folding and binding of IDPs, folding of small and multi-subdomain proteins, folding of multimeric proteins, and ligand binding of globular proteins in terms of conformational selection and induced-fit mechanisms as well as the nucleation–condensation mechanism that is intermediate between them. Accumulating evidence has shown that both the rate of conformational change and apparent rate of binding between interacting elements can determine reaction mechanisms. Coupled folding and binding of IDPs occurs mainly by induced-fit because of the slow folding in the free form, while ligand binding of globular proteins occurs mainly by conformational selection because of rapid conformational change. Protein folding can be regarded as the binding of intramolecular segments accompanied by secondary structure formation. Multi-subdomain proteins fold mainly by the induced-fit (hydrophobic collapse) mechanism, as the connection of interacting segments enhances the binding (compaction) rate. Fewer hydrophobic residues in small proteins reduce the intramolecular binding rate, resulting in the nucleation–condensation mechanism. Thus, the folding and binding of globular proteins and IDPs obey the same general principle, suggesting that the coarse-grained, statistical mechanical model of protein folding is promising for a unified theoretical description of all mechanisms.

Nucleosome distortion as a possible mechanism of transcription activation domain function

After more than three decades since the discovery of transcription activation domains (ADs) in gene-specific activators, the mechanism of their function remains enigmatic. The widely accepted model of direct recruitment by ADs of co-activators and basal transcriptional machinery components, however, is not always compatible with the short size yet very high degree of sequence randomness and intrinsic structural disorder of natural and synthetic ADs. In this review, we formulate the basis for an alternative and complementary model, whereby sequence randomness and intrinsic structural disorder of ADs are necessary for transient distorting interactions with promoter nucleosomes, triggering promoter nucleosome translocation and subsequently gene activation.

Hamiltonian Switch Metropolis Monte Carlo Simulations for Improved Conformational Sampling of Intrinsically Disordered Regions Tethered to Ordered Domains of Proteins

There is growing interest in the topic of intrinsically disordered proteins (IDPs). Atomistic Metropolis Monte Carlo (MMC) simulations based on novel implicit solvation models have yielded useful insights regarding sequence-ensemble relationships for IDPs modeled as autonomous units. However, a majority of naturally occurring IDPs are tethered to ordered domains. Tethering introduces additional energy scales and this creates the challenge of broken ergodicity for standard MMC sampling or molecular dynamics that cannot be readily alleviated by using generalized tempering methods. We have designed, deployed, and tested our adaptation of the Nested Markov Chain Monte Carlo sampling algorithm. We refer to our adaptation as Hamiltonian Switch Metropolis Monte Carlo (HS-MMC) sampling. In this method, transitions out of energetic traps are enabled by the introduction of an auxiliary Markov chain that draws conformations for the disordered region from a Boltzmann distribution that is governed by an alternative potential function that only includes short-range steric repulsions and conformational restraints on the ordered domain. We show using multiple, independent runs that the HS-MMC method yields conformational distributions that have similar and reproducible statistical properties, which is in direct contrast to standard MMC for equivalent amounts of sampling. The method is efficient and can be deployed for simulations of a range of biologically relevant disordered regions that are tethered to ordered domains.

Origins of Myc proteins--using intrinsic protein disorder to trace distant relatives

Mammalian Myc proteins are important determinants of cell proliferation as well as the undifferentiated state of stem cells and their activity is frequently deregulated in cancer. Based mainly on conservation in the C-terminal DNA-binding and dimerization domain, Myc-like proteins have been reported in many simpler organisms within and outside the Metazoa but they have not been found in fungi or plants. Several important signature motifs defining mammalian Myc proteins are found in the N-terminal domain but the extent to which these are found in the Myc-like proteins from simpler organisms is not well established. The extent of N-terminal signature sequence conservation would give important insights about the evolution of Myc proteins and their current function in mammalian physiology and disease. In a systematic study of Myc-like proteins we show that N-terminal signature motifs are not readily detectable in individual Myc-like proteins from invertebrates but that weak similarities to Myc boxes 1 and 2 can be found in the N-termini of the simplest Metazoa as well as the unicellular choanoflagellate, Monosiga brevicollis, using multiple protein alignments. Phylogenetic support for the connections of these proteins to established Myc proteins is however poor. We show that the pattern of predicted protein disorder along the length of Myc proteins can be used as a complementary approach to making dendrograms of Myc proteins that aids the classification of Myc proteins. This suggests that the pattern of disorder within Myc proteins is more conserved through evolution than their amino acid sequence. In the disorder-based dendrograms the Myc-like proteins from simpler organisms, including M. brevicollis, are connected to established Myc proteins with a higher degree of certainty. Our results suggest that protein disorder based dendrograms may be of general significance for studying distant relationships between proteins, such as transcription factors, that have high levels of intrinsic disorder.

Bridging the past and the future of virology: surface plasmon resonance as a powerful tool to investigate virus/host interactions

Despite decades of antiviral drug research and development, viruses still remain a top global healthcare problem. Compared to eukaryotic cells, viruses are composed by a limited numbers of proteins that, nevertheless, set up multiple interactions with cellular components, allowing the virus to take control of the infected cell. Each virus/host interaction can be considered as a therapeutical target for new antiviral drugs but, unfortunately, the systematic study of a so huge number of interactions is time-consuming and expensive, calling for models overcoming these drawbacks. Surface plasmon resonance (SPR) is a label-free optical technique to study biomolecular interactions in real time by detecting reflected light from a prism-gold film interface. Launched 20 years ago, SPR has become a nearly irreplaceable technology for the study of biomolecular interactions. Accordingly, SPR is increasingly used in the field of virology, spanning from the study of biological interactions to the identification of putative antiviral drugs. From the literature available, SPR emerges as an ideal link between conventional biological experimentation and system biology studies functional to the identification of highly connected viral or host proteins that act as nodal points in virus life cycle and thus considerable as therapeutical targets for the development of innovative antiviral strategies.

Sekikaic acid and lobaric acid target a dynamic interface of the coactivator CBP/p300

Capturing a coactivator, naturally: the natural products sekikaic acid and lobaric acid, isolated after a high-throughput screen of a structurally diverse extract collection, effectively target the dynamic binding interfaces of the GACKIX domain of the coactivator CBP/p300. These molecules are the most effective inhibitors of the GACKIX domain yet described and are uniquely selective for this domain.

Mild mitochondrial uncoupling does not affect mitochondrial biogenesis but downregulates pyruvate carboxylase in adipocytes: role for triglyceride content reduction

In adipocytes, mitochondrial uncoupling is known to trigger a triglyceride loss comparable with the one induced by TNFα, a proinflammatory cytokine. However, the impact of a mitochondrial uncoupling on the abundance/composition of mitochondria and its connection with triglyceride content in adipocytes is largely unknown. In this work, the effects of a mild mitochondrial uncoupling triggered by FCCP were investigated on the mitochondrial population of 3T3-L1 adipocytes by both quantitative and qualitative approaches. We found that mild mitochondrial uncoupling does not stimulate mitochondrial biogenesis in adipocytes but induces an adaptive cell response characterized by quantitative modifications of mitochondrial protein content. Superoxide anion radical level was increased in mitochondria of both TNFα- and FCCP-treated adipocytes, whereas mitochondrial DNA copy number was significantly higher only in TNFα-treated cells. Subproteomic analysis revealed that the abundance of pyruvate carboxylase was reduced significantly in mitochondria of TNFα- and FCCP-treated adipocytes. Functional study showed that overexpression of this major enzyme of lipid metabolism is able to prevent the triglyceride content reduction in adipocytes exposed to mitochondrial uncoupling or TNFα. These results suggest a new mechanism by which the effects of mitochondrial uncoupling might limit triglyceride accumulation in adipocytes.

Allosteric modulators of steroid hormone receptors: structural dynamics and gene regulation

Steroid hormones are synthesized from cholesterol primarily in the adrenal gland and the gonads and play vital roles in normal physiology, the control of development, differentiation, metabolic homeostasis, and reproduction. The actions of these small lipophilic molecules are mediated by intracellular receptor proteins. It is just over 25 yr since the first cDNA for steroid receptors were cloned, a development that led to the birth of a superfamily of ligand-activated transcription factors: the nuclear receptors. The receptor proteins share structurally and functionally related ligand binding and DNA-binding domains but possess distinct N-terminal domains and hinge regions that are intrinsically disordered. Since the original cloning experiments, considerable progress has been made in our understanding of the structure, mechanisms of action, and biology of this important class of ligand-activated transcription factors. In recent years, there has been interest in the structural plasticity and function of the N-terminal domain of steroid hormone receptors and in the allosteric regulation of protein folding and function in response to hormone, DNA response element architecture, and coregulatory protein binding partners. The N-terminal domain can exist as an ensemble of conformers, having more or less structure, which prime this region of the receptor to rapidly respond to changes in the intracellular environment through hormone binding and posttranslation modifications. In this review, we address the question of receptor structure and function dynamics with particular emphasis on the structurally flexible N-terminal domain, intra- and interdomain communications, and the allosteric regulation of receptor action.

Interactions between DNA, transcriptional regulator Dreb2a and the Med25 mediator subunit from Arabidopsis thaliana involve conformational changes

Mediator is a multiprotein coregulatory complex that conveys signals from DNA-bound transcriptional regulators to the RNA polymerase II transcription machinery in eukaryotes. The molecular mechanisms for how these signals are transmitted are still elusive. By using purified transcription factor Dreb2a, mediator subunit Med25 from Arabidopsis thaliana, and a combination of biochemical and biophysical methods, we show that binding of Dreb2a to its canonical DNA sequence leads to an increase in secondary structure of the transcription factor. Similarly, interaction between the Dreb2a and Med25 in the absence of DNA results in conformational changes. However, the presence of the canonical Dreb2a DNA-binding site reduces the affinity between Dreb2a and Med25. We conclude that transcription regulation is facilitated by small but distinct changes in energetic and structural parameters of the involved proteins.

Intrinsic disorder in cell signaling and gene transcription

Structural disorder, which enables unique modes of action often associated with molecular recognition and folding induced by a partner, is widespread in eukaryotic proteomes. Due to the ensuing advantages, such as specificity without strong binding, adaptability to multiple partners and subtle regulation by post-translational modification, structural disorder is prevalent in proteins of signaling and regulatory functions, such as membrane receptors, scaffold proteins, cytoskeletal proteins, transcription factors and nuclear hormone receptors. In this review we survey the most important aspects of structural disorder, with major focus on features and advantages pertinent to signal transduction. Our major goal is to elucidate how the functional requirements of these protein classes concur with specific functional modes disorder enables.

Caught in the act: covalent cross-linking captures activator-coactivator interactions in vivo

Currently there are few methods suitable for the discovery and characterization of transient, moderate affinity protein-protein interactions in their native environment, despite their prominent role in a host of cellular functions including protein folding, signal transduction, and transcriptional activation. Here we demonstrate that a genetically encoded photoactivatable amino acid, p-benzoyl-l-phenylalanine, can be used to capture transient and/or low affinity binding partners in an in vivo setting. In this study, we focused on ensnaring the coactivator binding partners of the transcriptional activator VP16 in S. cerevisiae. The interactions between transcriptional activators and coactivators in eukaryotes are moderate in affinity and short-lived, and due in part to these characteristics, identification of the direct binding partners of activators in vivo has met with only limited success. We find through in vivo photo-cross-linking that VP16 contacts the Swi/Snf chromatin-remodeling complex through the ATPase Snf2(BRG1/BRM) and the subunit Snf5 with two distinct regions of the activation domain. An analogous experiment with Gal4 reveals that Snf2 is also a target of this activator. These results suggest that Snf2 may be a valuable target for small molecule probe discovery given the prominent role the Swi/Snf complex family plays in development and in disease. More significantly, the successful implementation of the in vivo cross-linking methodology in this setting demonstrates that it can be applied to the discovery and characterization of a broad range of transient and/or modest affinity protein-protein interactions.

Solution NMR structure of MED25(391-543) comprising the activator-interacting domain (ACID) of human mediator subunit 25

The solution NMR structure of protein MED25(391-543), comprising the activator interacting domain (ACID) of subunit 25 of the human mediator, is presented along with the measurement of polypeptide backbone heteronuclear 15N-{1H} NOEs to identify fast internal motional modes. This domain interacts with the acidic transactivation domains of Herpes simplex type 1 (HSV-1) protein VP16 and the Varicella-zoster virus (VZV) major transactivator protein IE62, which initiate transcription of viral genes. The structure is similar to the β-barrel domains of the human protein Ku and the SPOC domain of human protein SHARP, and provides a starting point to understand the structural biology of initiation of HSV-1 and VZV gene activation. Homology models built for the two ACID domains of the prostate tumor overexpressed (PTOV1) protein using the structure of MED25(391-543) as a template suggest that differential biological activities of the ACID domains in MED25 and PTOV1 arise from modulation of quite similar protein-protein interactions by variable residues grouped around highly conserved charged surface areas.

Proteome-wide evidence for enhanced positive Darwinian selection within intrinsically disordered regions in proteins

BACKGROUND

Understanding the adaptive changes that alter the function of proteins during evolution is an important question for biology and medicine. The increasing number of completely sequenced genomes from closely related organisms, as well as individuals within species, facilitates systematic detection of recent selection events by means of comparative genomics.

RESULTS

We have used genome-wide strain-specific single nucleotide polymorphism data from 64 strains of budding yeast (Saccharomyces cerevisiae or Saccharomyces paradoxus) to determine whether adaptive positive selection is correlated with protein regions showing propensity for different classes of structure conformation. Data from phylogenetic and population genetic analysis of 3,746 gene alignments consistently shows a significantly higher degree of positive Darwinian selection in intrinsically disordered regions of proteins compared to regions of alpha helix, beta sheet or tertiary structure. Evidence of positive selection is significantly enriched in classes of proteins whose functions and molecular mechanisms can be coupled to adaptive processes and these classes tend to have a higher average content of intrinsically unstructured protein regions.

CONCLUSIONS

We suggest that intrinsically disordered protein regions may be important for the production and maintenance of genetic variation with adaptive potential and that they may thus be of central significance for the evolvability of the organism or cell in which they occur.

Transient-state kinetic analysis of transcriptional activator·DNA complexes interacting with a key coactivator

Several lines of evidence suggest that the prototypical amphipathic transcriptional activators Gal4, Gcn4, and VP16 interact with the key coactivator Med15 (Gal11) during transcription initiation despite little sequence homology. Recent cross-linking data further reveal that at least two of the activators utilize the same binding surface within Med15 for transcriptional activation. To determine whether these three activators use a shared binding mechanism for Med15 recruitment, we characterized the thermodynamics and kinetics of Med15·activator·DNA complex formation by fluorescence titration and stopped-flow techniques. Combination of each activator·DNA complex with Med15 produced biphasic time courses. This is consistent with a minimum two-step binding mechanism composed of a bimolecular association step limited by diffusion, followed by a conformational change in the Med15·activator·DNA complex. Furthermore, the equilibrium constant for the conformational change (K(2)) correlates with the ability of an activator to stimulate transcription. VP16, the most potent of the activators, has the largest K(2) value, whereas Gcn4, the least potent, has the smallest value. This correlation is consistent with a model in which transcriptional activation is regulated at least in part by the rearrangement of the Med15·activator·DNA ternary complex. These results are the first detailed kinetic characterization of the transcriptional activation machinery and provide a framework for the future design of potent transcriptional activators.

Roles of cellular transcription factors in VZV replication

Varicella zoster virus (VZV) is the causative agent of chickenpox and shingles. During productive infection the complete VZV proteome consisting of some 68 unique gene products is expressed through interaction of a small number of viral transcriptional activators with the general transcription apparatus of the host cell. Recent work has shown that the major viral transactivator, commonly designated the IE62 protein, interacts with the human Mediator of transcription. This interaction requires direct contact between the MED25 subunit of Mediator and the acidic N-terminal transactivation domain of IE62. A second cellular factor, host cell factor-1, has been shown to be the common element in two mechanisms of activation of the promoter driving expression of the gene encoding IE62. Finally, the ubiquitous cellular transcription factors Sp1, Sp3, and YY1 have been shown to interact with sequences near the VZV origin of DNA replication and in the case of Sp1/Sp3 to influence replication efficiency.

Conformation of the mineralocorticoid receptor N-terminal domain: evidence for induced and stable structure

The mineralocorticoid receptor (MR) binds the steroid hormones aldosterone and cortisol and has an important physiological role in the control of salt homeostasis. Regions of the protein important for gene regulation have been mapped to the amino-terminal domain (NTD) and termed activation function (AF)1a, AF1b, and middle domain (MD). In the present study, we used a combination of biophysical and biochemical techniques to investigate the folding and function of the MR-NTD transactivation functions. We demonstrate that MR-AF1a and MR-MD have relatively little stable secondary structure but have the propensity to form α-helical conformation. Induced folding of the MR-MD enhanced protein-protein binding with a number of coregulatory proteins, including the coactivator cAMP response element-binding protein-binding protein and the corepressors SMRT and RIP140. By contrast, the MR-AF1b domain appeared to have a more stable conformation consisting predominantly of β-secondary structure. Furthermore, MR-AF1b specifically interacted with the TATA-binding protein, via an LxxLL-like motif, in the absence of induced folding. Together, these data suggest that the MR-NTD contains a complex transactivation system made up of distinct structural and functional domains. The results are discussed in the context of the induced folding paradigm for steroid receptor NTDs.

Multilayered control of gene expression by stress-activated protein kinases

Stress-activated protein kinases (SAPKs) are key elements for intracellular signalling networks that serve to respond and adapt to extracellular changes. Exposure of yeast to high osmolarity results in the activation of p38-related SAPK, Hog1, which is essential for reprogramming the gene expression capacity of the cell by regulation of several steps of the transcription process. At initiation, active Hog1 not only directly phosphorylates several transcription factors to alter their activities, but also associates at stress-responsive promoters through such transcription factors. Once at the promoters, Hog1 serves as a platform to recruit general transcription factors, chromatin-modifying activities and RNA Pol II. In addition, the SAPK pathway has a role in elongation. At the stress-responsive ORFs, Hog1 recruits the RSC chromatin-remodelling complex to modify nucleosome organization. Several SAPKs from yeast to mammals have maintained some of the regulatory abilities of Hog1. Thus, elucidating the control of gene expression by the Hog1 SAPK should help to understand how eukaryotic cells implement a massive and rapid change on their transcriptional capacity in response to adverse conditions.

Interaction between the transactivation domain of p53 and PC4 exemplifies acidic activation domains as single-stranded DNA mimics

The tumor suppressor p53 regulates cell cycle arrest and apoptosis by transactivating several genes that are critical for these processes. The transcriptional activity of p53 is often regulated by post-translational modifications and its interactions with various transcriptional coactivators. Here we report a physical interaction between the N-terminal transactivation domain (TAD) of p53 and the C-terminal DNA-binding domain of positive cofactor 4 (PC4(CTD)). Using NMR spectroscopy, we showed that residues 35-57 (TAD2) interact with PC4. (15)N,(1)H HSQC and fluorescence competition experiments indicated that TAD binds to the DNA-binding site of PC4. Hepta-phosphorylation of the TAD peptide increased its binding affinity. Computer modeling of the p53N-PC4 complex revealed several important interactions that are reminiscent of those in the single-stranded DNA-PC4 complex. The ubiquitous nature of the acidic transactivation domain of p53 in mediating interactions with several transcription cofactors is also manifested as a DNA mimetic.

Tra1 as a screening target for transcriptional activation domain discovery

There is tremendous interest in developing activator artificial transcription factors that functionally mimic endogenous transcriptional activators for use as mechanistic probes, as components of synthetic cell circuitry, and in transcription-targeted therapies. Here, we demonstrate that a phage display selection against the transcriptional activation domain binding motif of the coactivator Tra1(TRRAP) produces distinct sequences that function with similar binding modes and potency as natural activators. These findings set the stage for binding screens with small molecule libraries against TAD binding motifs to yield next-generation small molecule TADs.

Amphipathic small molecules mimic the binding mode and function of endogenous transcription factors

Small molecules that reconstitute the binding mode(s) of a protein and in doing so elicit a programmed functional response offer considerable advantages in the control of complex biological processes. The development challenges of such molecules are significant, however. Many protein-protein interactions require multiple points of contact over relatively large surface areas. More significantly, several binding modes can be superimposed upon a single sequence within a protein, and a true small molecule replacement must be preprogrammed for such multimodal binding. This is the case for the transcriptional activation domain or TAD of transcriptional activators as these motifs utilize a poorly characterized multipartner binding profile in order to stimulate gene expression. Here we describe a unique class of small molecules that exhibit both function and a binding profile analogous to natural transcriptional activation domains. Of particular note, the small molecules are the first reported to bind to the KIX domain within the CREB binding protein (CBP) at a site that is utilized by natural activators. Further, a comparison of functional and nonfunctional small molecules indicates that an interaction with CBP is a key contributor to transcriptional activity. Taken together, the evidence suggests that the small molecule TADs mimic both the function and mechanism of their natural counterparts and thus present a framework for the broader development of small molecule transcriptional switches.

Analysis of the varicella-zoster virus IE62 N-terminal acidic transactivating domain and its interaction with the human mediator complex

The varicella-zoster virus major transactivator, IE62, contains a potent N-terminal acidic transcriptional activation domain (TAD). Our experiments revealed that the minimal IE62 TAD encompasses amino acids (aa) 19 to 67. We showed that the minimal TAD interacts with the human Mediator complex. Site-specific mutations revealed residues throughout the minimal TAD that are important for both activation and Mediator interaction. The TAD interacts directly with aa 402 to 590 of the MED25 subunit, and site-specific TAD mutations abolished this interaction. Two-dimensional nuclear magnetic resonance spectroscopy revealed that the TAD is intrinsically unstructured. Our studies suggest that transactivation may involve the TAD adopting a defined structure upon binding MED25.

Linking folding and binding

Many cellular proteins are intrinsically disordered and undergo folding, in whole or in part, upon binding to their physiological targets. The past few years have seen an exponential increase in papers describing characterization of intrinsically disordered proteins, both free and bound to targets. Although NMR spectroscopy remains the favored tool, a number of new biophysical techniques are proving exceptionally useful in defining the limits of the conformational ensembles. Advances have been made in prediction of the recognition elements in disordered proteins, in elucidating the kinetics and mechanism of the coupled folding and binding process, and in understanding the role of post-translational modifications in tuning the biological response. Here we review these and other recent advances that are providing new insights into the conformational propensities and interactions of intrinsically disordered proteins and are beginning to reveal general principles underlying their biological functions.

Malleable machines take shape in eukaryotic transcriptional regulation

Transcriptional control requires the spatially and temporally coordinated action of many macromolecular complexes. Chromosomal proteins, transcription factors, co-activators and components of the general transcription machinery, including RNA polymerases, often use structurally or stoichiometrically ill-defined regions for interactions that convey regulatory information in processes ranging from chromatin remodeling to mRNA processing. Determining the functional significance of intrinsically disordered protein regions and developing conceptual models of their action will help to illuminate their key role in transcription regulation. Complexes comprising disordered regions often display short recognition elements embedded in flexible and sequentially variable environments that can lead to structural and functional malleability. This provides versatility to recognize multiple targets having different structures, facilitate conformational rearrangements and physically communicate with many partners in response to environmental changes. All these features expand the capacities of ordered complexes and give rise to efficient regulatory mechanisms.

A robust approach for analyzing a heterogeneous structural ensemble

Intrinsically unstructured proteins (IUP) are widespread in eukaryotes and participate in numerous cellular processes, but a structural explanation of the mechanisms they use to recognize and bind their diverse targets has proved elusive. Transcriptional activator domains are one class of IUP that function by recruiting other factors into basal transcription complexes. Transcriptional activator domains are known to use electrostatic interactions for recognition, but it is unclear how this could be accomplished by a structurally heterogeneous ensemble. To investigate this question, we performed principal component analysis on the atomic contact maps of an experimentally restrained ensemble of the human p53 transcriptional activator domain. This analysis revealed that the ensemble is conspicuously nonrandom and permitted a straightforward identification of persistent structural features and their relative probabilities. It was observed that six predominant long-range contacts are combinatorially arranged in 13 clusters of structures. Potential surfaces of the aligned clusters showed that these contacts uniformly organize the negative charges of the highly acidic p53 transcriptional activator domain on one face of the clusters. This observation provides a structural basis for the recruitment of other factors into basal transcription complexes and further supports the hypothesis that the structural ensembles of IUPs are not random and instead have evolved under selection to maintain specific structural features.

Fuzzy complexes: polymorphism and structural disorder in protein-protein interactions

The notion that all protein functions are determined through macromolecular interactions is the driving force behind current efforts that aim to solve the structures of all cellular complexes. Recent findings, however, demonstrate a significant amount of structural disorder or polymorphism in protein complexes, a phenomenon that has been largely overlooked thus far. It is our view that such disorder can be classified into four mechanistic categories, covering a continuous spectrum of structural states from static to dynamic disorder and from segmental to full disorder. To emphasize its generality and importance, we suggest a generic term, 'fuzziness', for this phenomenon. Given the crucial role of protein disorder in protein-protein interactions and in regulatory processes, we envision that fuzziness will become integral to understanding the interactome.

Intrinsic disorder in yeast transcriptional regulatory network

Intrinsic disorder has been shown to be important in mediating protein-protein and protein-DNA interactions. Proteins involved in regulatory functions are particularly enriched in intrinsic disorder. In this study we explored the role of intrinsic disorder in transcriptional regulatory network of yeast. Using disorder prediction programs we show that transcription factors (TFs) regulating large number of targets (transcriptional hubs) have significantly increased intrinsic disorder, though targets regulated by multiple TFs did not show increased intrinsic disorder. Intrinsic disorder may allow these transcriptional hubs to bind to diverse promoter regions of their targets in different contexts, and may also allow complex regulatory control of transcriptional hubs that are involved in coordinating different cellular processes.

Identifying long-range structure in the intrinsically unstructured transactivation domain of p53

Paramagnetic relaxation enhancement (PRE) was used to identify a compact dynamic structure for the intrinsically unstructured transactivation domain of the tumor suppressor protein, p53. Our results show that p53 residues essential for binding to the ubiquitin ligase, MDM2, and the 70 kDa subunit of replication protein A, RPA70, are separated by an average distance of 10-15 A. This result suggests that a more extended member of the ensemble must be populated prior to binding either MDM2 or RPA70. We also show that PRE can be used to detect intermolecular distances between p53 and RPA70.

Silencing and un-silencing of tetracycline-controlled genes in neurons

To identify the underlying reason for the controversial performance of tetracycline (Tet)-controlled regulated gene expression in mammalian neurons, we investigated each of the three components that comprise the Tet inducible systems, namely tetracyclines as inducers, tetracycline-transactivator (tTA) and reverse tTA (rtTA), and tTA-responsive promoters (P_tets). We have discovered that stably integrated P_tet becomes functionally silenced in the majority of neurons when it is inactive during development. P_tet silencing can be avoided when it is either not integrated in the genome or stably-integrated with basal activity. Moreover, long-term, high transactivator levels in neurons can often overcome integration-induced P_tet gene silencing, possibly by inducing promoter accessibility.

Stress-specific role of fission yeast Gcn5 histone acetyltransferase in programming a subset of stress response genes

Gcn5 is a coactivator protein that contributes to gene activation by acetylating specific lysine residues within the N termini of histone proteins. Gcn5 has been intensively studied in the budding yeast, Saccharomyces cerevisiae, but the features of genes that determine whether they require Gcn5 during activation have not been conclusively clarified. To allow comparison with S. cerevisiae, we have studied the genome-wide role of Gcn5 in the distantly related fission yeast, Schizosaccharomyces pombe. We show that Gcn5 is specifically required for adaptation to KCl- and CaCl(2)-mediated stress in S. pombe. We have characterized the genome-wide gene expression responses to KCl stress and show that Gcn5 is involved in the regulation of a subset of stress response genes. Gcn5 is most clearly associated with KCl-induced genes, but there is no correlation between Gcn5 dependence and the extent of their induction. Instead, Gcn5-dependent KCl-induced genes are specifically enriched in four different DNA motifs. The Gcn5-dependent KCl-induced genes are also associated with biological process gene ontology terms such as carbohydrate metabolism, glycolysis, and nicotinamide metabolism that together constitute a subset of the ontology parameters associated with KCl-induced genes.

A TAD further: exogenous control of gene activation

Designer molecules that can be used to impose exogenous control on gene transcription, artificial transcription factors (ATFs), are highly desirable as mechanistic probes of gene regulation, as potential therapeutic agents, and as components of cell-based devices. Recently, several advances have been made in the design of ATFs that activate gene transcription (activator ATFs), including reports of small-molecule-based systems and ATFs that exhibit potent activity. However, the many open mechanistic questions about transcriptional activators, in particular, the structure and function of the transcriptional activation domain (TAD), have hindered rapid development of synthetic ATFs. A compelling need thus exists for chemical tools and insights toward a more detailed portrait of the dynamic process of gene activation.

Converting inactive peptides into potent transcriptional activators

Significant efforts have been devoted to the development of artificial transcriptional activators for use as mechanistic tools, as therapeutic agents, and for biomanufacturing applications. One of the primary challenges has been the development of artificial activators that exhibit potency in cells comparable to that of endogenous activators; the vast majority function only moderately in the cellular context. Here we demonstrate that the superimposition of two distinct binding modes, a masking interaction and an interaction with the transcriptional machinery, has a profoundly positive effect on the cellular activity of artificial activators, with up to 600-fold enhancement observed. Incorporation of this feature into future generations of small molecule transcriptional activators should increase their nuclear uptake and facilitate their accessibility to their target proteins, thus significantly augmenting both their activity and utility.

Activation function 1 of glucocorticoid receptor binds TATA-binding protein in vitro and in vivo

The mechanism through which the glucocorticoid receptor (GR) stimulates transcription is still unclear, although it is clear that the GR affects assembly of the transcriptional machinery. The binding of the TATA-binding protein (TBP) to the TATA-box is accepted as essential in this process. It is known that the GR can interact in vitro with TBP, but the direct interaction of TBP with GR has not been previously characterized quantitatively and has not been appreciated as an important step in assembling the transcriptional complex. Herein, we demonstrate that the TBP-GR interaction is functionally significant by characterizing the association of TBP and GR in vitro by a combination of techniques and confirming the role of this interaction in vivo. Combined analysis, using native gel electrophoresis, sedimentation equilibrium, and isothermal microcalorimetry titrations, characterize the stoichiometry, affinity, and thermodynamics of the TBP-GR interaction. TBP binds recombinant GR activation function 1 (AF1) with a 1:2 stoichiometry and a dissociation constant in the nanomolar range. In vivo fluorescence resonance energy transfer experiments, using fluorescently labeled TBP and various GR constructs, transiently transfected into CV-1 cells, show GR-TBP interactions, dependent on AF1. AF1-deletion variants showed fluorescence resonance energy transfer efficiencies on the level of coexpressed cyan fluorescent protein and yellow fluorescent protein, indicating that the interaction is dependent on AF1 domain. To demonstrate the functional role of the in vivo GR-TBP interaction, increased amounts of TBP expressed in vivo stimulated expression of GR-driven reporters and endogenous genes, and the effect was also specifically dependent on AF1.

Survey of the year 2005 commercial optical biosensor literature

We identified 1113 articles (103 reviews, 1010 primary research articles) published in 2005 that describe experiments performed using commercially available optical biosensors. While this number of publications is impressive, we find that the quality of the biosensor work in these articles is often pretty poor. It is a little disappointing that there appears to be only a small set of researchers who know how to properly perform, analyze, and present biosensor data. To help focus the field, we spotlight work published by 10 research groups that exemplify the quality of data one should expect to see from a biosensor experiment. Also, in an effort to raise awareness of the common problems in the biosensor field, we provide side-by-side examples of good and bad data sets from the 2005 literature.