Induced negative regulation decodes PAMP quality and quantity to generate bacteria-specific inflammatory responses

Toll-like receptors (TLRs) expressed on macrophages are ligated in various combinations by diverse pathogen-associated molecular patterns (PAMPs), but how mixtures of signals through these receptors are integrated to mediate distinct biological responses to different pathogens remains unknown. By stimulating macrophages using a wide matrix of TLR2/TLR4 concentration combinations, we identified conditions resulting in non-linear responses. Transcriptomic and RNAi analyses identified negative regulators induced in a TLR-specific manner that regulated cytokine production dynamics and chemokine milieus across the combinatorial matrix. TLR4 ligand concentration explained much of the variation in production of many chemokines. However, combinations of sub-maximal amounts of either single ligand produced a zone of non-linear responses with sustained production of select inflammatory mediators, due to lack of negative regulation induced only at higher individual ligand concentrations. A similar sustained response was observed for Gram-positive bacteria, as compared to a panel of Gram-negative species, which express high amounts of the TLR4 ligand LPS. The novel TLR4-specific negative regulators we describe thus aid the innate immune system in discriminating Gram-negative from Gram-positive species, supporting qualitatively distinct inflammatory responses to these classes of bacteria.

This research was supported by the Intramural Research Program of the NIH, NIAID

Mass mining: a crowdsourcing approach for meta-analyzing gene expression signatures of autoimmunity using large-scale public data sets

The volume and diversity of large-scale biological data available in the public domain continues to grow. This data has the potential to be reused to answer questions beyond those envisioned when the data was generated; however, few immunologists have sufficient bioinformatics expertise to do so. We used OMiCC, a free online platform that enables programming-free meta-analysis of public gene expression data and facilitates “crowdsharing” the work of annotating and constructing data compendia. We organized an “OMiCC Jamboree” to evaluate if biologists without bioinformatics training could use OMiCC to identify and annotate public gene expression datasets and design proper disease versus control comparisons for meta-analysis. Twenty-nine volunteer NIH biologists gathered to search and annotate public microarray data of human autoimmune conditions and the corresponding mouse models. Meta-analyses across studies explored 1) gene expression signatures for each disease, 2) pan-disease signatures, and 3) cross-species signatures. A large number of differentially expressed genes and enriched pathways were identified for each disease, with substantial overlap among diseases both within and between species, including pan-disease and pan-species signatures such as those associated with interferon.

Supported by the Intramural Research Programs of NIAID and CIT, NIH.

Mapping the chromatin and RNA expression landscapes of human macrophages to interrogate the function of disease-associated genetic polymorphisms

Macrophages are known to show highly dynamic responses to diverse stimuli, and have been implicated in metabolic syndrome and related diseases. Genome-wide association studies have identified many single-nucleotide polymorphisms (SNPs) associated with these common conditions, largely in non-coding regions; how these SNPs influence disease processes remains largely unknown. We hypothesized that examining RNA expression and chromatin state in macrophages across diverse activation conditions would elucidate the roles of macrophages in mediating the effects of disease-linked SNPs on the development of disease. We measured gene expression via RNAseq and histone 3 lysine 27 acetylation via ChIPseq as an indicator of promoter/enhancer activity in human blood monocyte-derived macrophages stimulated in vitro with a range of inflammatory and disease-relevant stimuli. Over 11,000 genes and 43,000 regulatory elements show condition-dependent activity in this dataset. Functional enrichment in modules of co-expressed transcripts confirmed expected stimuli-specific biology and reveal potentially novel relationships between distinct stimulation states. Correlation of regulatory element activity with module gene expression shows broad inflammatory/anti-inflammatory separation, and metabolic-trait associated SNPs tend to be embedded within regulatory elements whose activity is associated with both non-inflammatory and, surprisingly, some anti-viral macrophage gene modules. Ongoing work includes using these data to infer the transcriptional networks underlying these states. This study was supported by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, NIH.

Environment Tunes Propagation of Cell-to-Cell Variation in the Human Macrophage Gene Network

Cell-to-cell variation in gene expression and the propagation of such variation (PoV or "noise propagation") from one gene to another in the gene network, as reflected by gene-gene correlation across single cells, are commonly observed in single-cell transcriptomic studies and can shape the phenotypic diversity of cell populations. While gene network "rewiring" is known to accompany cellular adaptation to different environments, how PoV changes between environments and its underlying regulatory mechanisms are less understood. Here, we systematically explored context-dependent PoV among genes in human macrophages, utilizing different cytokines as natural perturbations of multiple molecular parameters that may influence PoV. Our single-cell, epigenomic, computational, and stochastic simulation analyses reveal that environmental adaptation can tune PoV to potentially shape cellular heterogeneity by changing parameters such as the degree of phosphorylation and transcription factor-chromatin interactions. This quantitative tuning of PoV may be a widespread, yet underexplored, property of cellular adaptation to distinct environments.

Meta-analysis of crowdsourced data compendia suggests pan-disease transcriptional signatures of autoimmunity

Background: The proliferation of publicly accessible large-scale biological data together with increasing availability of bioinformatics tools have the potential to transform biomedical research. Here we report a crowdsourcing Jamboree that explored whether a team of volunteer biologists without formal bioinformatics training could use OMiCC, a crowdsourcing web platform that facilitates the reuse and (meta-) analysis of public gene expression data, to compile and annotate gene expression data, and design comparisons between disease and control sample groups.

Methods: The Jamboree focused on several common human autoimmune diseases, including systemic lupus erythematosus (SLE), multiple sclerosis (MS), type I diabetes (DM1), and rheumatoid arthritis (RA), and the corresponding mouse models. Meta-analyses were performed in OMiCC using comparisons constructed by the participants to identify 1) gene expression signatures for each disease (disease versus healthy controls at the gene expression and biological pathway levels), 2) conserved signatures across all diseases within each species (pan-disease signatures), and 3) conserved signatures between species for each disease and across all diseases (cross-species signatures).

Results: A large number of differentially expressed genes were identified for each disease based on meta-analysis, with observed overlap among diseases both within and across species. Gene set/pathway enrichment of upregulated genes suggested conserved signatures (e.g., interferon) across all human and mouse conditions.

Conclusions: Our Jamboree exercise provides evidence that when enabled by appropriate tools, a "crowd" of biologists can work together to accelerate the pace by which the increasingly large amounts of public data can be reused and meta-analyzed for generating and testing hypotheses. Our encouraging experience suggests that a similar crowdsourcing approach can be used to explore other biological questions.

Humoral Fingerprinting of Immune Responses: 'Super-Resolution', High-Dimensional Serology

In a recent study, Chung et al. report the development of a high-dimensional approach to assess humoral responses to immune perturbation that goes beyond antibody neutralization and titers. This approach enables the identification of potentially novel correlates and mechanisms of protective immunity to HIV vaccination, thus offering a glimpse of how dense phenotyping of serological responses coupled with bioinformatics analysis could lead to much-sought-after markers of protective vaccination responses.

Random yet deterministic: convergent immunoglobulin responses to influenza

B cell clonal expansion is a hallmark of host-defense and vaccination responses. Given the vast immunoglobulin repertoire, individuals may expand B cells carrying largely distinct immunoglobulin genes following antigenic challenge. Using immunoglobulin-repertoire sequencing to dynamically track responses to influenza vaccination, Jackson et al. find evidence of convergent immunoglobulin responses across individuals.

MicroRNA-455 regulates brown adipogenesis via a novel HIF1an-AMPK-PGC1α signaling network

Brown adipose tissue (BAT) dissipates chemical energy as heat and can counteract obesity. MicroRNAs are emerging as key regulators in development and disease. Combining microRNA and mRNA microarray profiling followed by bioinformatic analyses, we identified miR-455 as a new regulator of brown adipogenesis. miR-455 exhibits a BAT-specific expression pattern and is induced by cold and the browning inducer BMP7. In vitro gain- and loss-of-function studies show that miR-455 regulates brown adipocyte differentiation and thermogenesis. Adipose-specific miR-455 transgenic mice display marked browning of subcutaneous white fat upon cold exposure. miR-455 activates AMPKα1 by targeting HIF1an, and AMPK promotes the brown adipogenic program and mitochondrial biogenesis. Concomitantly, miR-455 also targets the adipogenic suppressors Runx1t1 and Necdin, initiating adipogenic differentiation. Taken together, the data reveal a novel microRNA-regulated signaling network that controls brown adipogenesis and may be a potential therapeutic target for human metabolic disorders.

Utilizing population variation, vaccination, and systems biology to study human immunology

The move toward precision medicine has highlighted the importance of understanding biological variability within and across individuals in the human population. In particular, given the prevalent involvement of the immune system in diverse pathologies, an important question is how much and what information about the state of the immune system is required to enable accurate prediction of future health and response to medical interventions. Towards addressing this question, recent studies using vaccination as a model perturbation and systems-biology approaches are beginning to provide a glimpse of how natural population variation together with multiplexed, high-throughput measurement and computational analysis can be used to uncover predictors of immune response quality in humans. Here I discuss recent developments in this emerging field, with emphasis on baseline correlates of vaccination responses, sources of immune-state variability, as well as relevant features of study design, data generation, and computational analysis.

Global analyses of human immune variation reveal baseline predictors of postvaccination responses

A major goal of systems biology is the development of models that accurately predict responses to perturbation. Constructing such models requires the collection of dense measurements of system states, yet transformation of data into predictive constructs remains a challenge. To begin to model human immunity, we analyzed immune parameters in depth both at baseline and in response to influenza vaccination. Peripheral blood mononuclear cell transcriptomes, serum titers, cell subpopulation frequencies, and B cell responses were assessed in 63 individuals before and after vaccination and were used to develop a systematic framework to dissect inter- and intra-individual variation and build predictive models of postvaccination antibody responses. Strikingly, independent of age and pre-existing antibody titers, accurate models could be constructed using pre-perturbation cell populations alone, which were validated using independent baseline time points. Most of the parameters contributing to prediction delineated temporally stable baseline differences across individuals, raising the prospect of immune monitoring before intervention.

Abnormal B cell memory subsets dominate HIV-specific responses in infected individuals

Recently, several neutralizing anti-HIV antibodies have been isolated from memory B cells of HIV-infected individuals. Despite extensive evidence of B cell dysfunction in HIV disease, little is known about the cells from which these rare HIV-specific antibodies originate. Accordingly, we used HIV envelope gp140 and CD4 or coreceptor (CoR) binding site (bs) mutant probes to evaluate HIV-specific responses in peripheral blood B cells of HIV-infected individuals at various stages of infection. In contrast to non-HIV responses, HIV-specific responses against gp140 were enriched within abnormal B cells, namely activated and exhausted memory subsets, which are largely absent in the blood of uninfected individuals. Responses against the CoRbs, which is a poorly neutralizing epitope, arose early, whereas those against the well-characterized neutralizing epitope CD4bs were delayed and infrequent. Enrichment of the HIV-specific response within resting memory B cells, the predominant subset in uninfected individuals, did occur in certain infected individuals who maintained low levels of plasma viremia and immune activation with or without antiretroviral therapy. The distribution of HIV-specific responses among memory B cell subsets was corroborated by transcriptional analyses. Taken together, our findings provide valuable insight into virus-specific B cell responses in HIV infection and demonstrate that memory B cell abnormalities may contribute to the ineffectiveness of the antibody response in infected individuals.

The National Institutes of Health Center for Human Immunology, Autoimmunity, and Inflammation: history and progress

The Center for Human Immunology, Autoimmunity, and Inflammation (CHI) is an exciting initiative of the NIH intramural program begun in 2009. It is uniquely trans-NIH in support (multiple institutes) and leadership (senior scientists from several institutes who donate their time). Its goal is an in-depth assessment of the human immune system using high-throughput multiplex technologies for examination of immune cells and their products, the genome, gene expression, and epigenetic modulation obtained from individuals both before and after interventions, adding information from in-depth clinical phenotyping, and then applying advanced biostatistical and computer modeling methods for mining these diverse data. The aim is to develop a comprehensive picture of the human "immunome" in health and disease, elucidate common pathogenic pathways in various diseases, identify and validate biomarkers that predict disease progression and responses to new interventions, and identify potential targets for new therapeutic modalities. Challenges, opportunities, and progress are detailed.

From finger pricks to point-and-click

In this issue of Immunity, Obermoser et al. (2013) systematically analyze and compare the blood-transcriptomic response of the pneumococcal and influenza vaccines in humans over multiple time points spanning hours to tens of days. They then present web-based interactive figures that facilitate exploration of this large, complex data set.

Post-esophagectomy gastric conduit cancers: treatment experiences and literature review

Esophagectomy remains the mainstay of treatment for esophageal cancer. The stomach is the commonest organ used to restore intestinal continuity after esophagectomy. Metachronous gastric cancer in the gastric conduit after esophagectomy is rare; the etiology remains unclear. Possible risk factors include Helicobacter pylori infection, biliary or pancreatic reflux and prior radiotherapy. Prognosis of these patients remains poor. Treatment of this particular entity poses unique challenges to the surgeon and oncologist. Early diagnosis by endoscopy may allow endoscopic excision such as endoscopic mucosal resection or endoscopic submucosal dissection. In more advanced cancers, surgery is difficult, reconstruction is complicated, and further radiation may not be feasible because of previous neoadjuvant therapy. In this report, four patients who developed gastric conduit cancers are presented. They were treated with either surgery alone or combined with chemoradiotherapy. All four patients were still alive after at least 21 months, with three patients currently still alive (21-48 months). The literature is also reviewed, in particular addressing the incidence, possible underlying causes, prognosis and options of treatment for this specific clinical scenario.

Concurrent colorectal malignancy and abdominal aortic aneurysm: a multicentre experience and review of the literature

OBJECTIVES

There is lack of consensus regarding concurrent vs. staged approaches, and the prioritisation of staged procedures in cases presenting with colorectal carcinoma (CRC) and abdominal aortic aneurysm (AAA) synchronously. We aim to present our experience, review the literature on this therapeutic dilemma and examine the role of endovascular aortic repair (EVAR).

DESIGN, MATERIALS AND METHODS

An observational study of the experience of two centres and a systematic review of the published literature.

RESULTS

Twenty-four patients were identified from the prospective databases of two tertiary referral centres between 2001 and 2006. Intervention for both malignancy and aneurysm was performed in 13 patients. In 10 patients, cancer resection was performed initially and was followed by open aneurysm repair (n=3) or EVAR (n=7). Two patients (AAA diameters: 7.0 and 8.0cm) underwent EVAR prior to colonic resection. One patient was selected for synchronous surgery. There were no interval AAA ruptures, graft infection or postoperative mortalities. Literature review identified 269 such cases; of these 101 were treated by combined surgery. In staged surgery, there were nine interval aneurysmal ruptures and one aortic graft infection.

CONCLUSIONS

In our experience, staged management can be undertaken, without interval aneurysmal rupture. EVAR has an evolving role in preventing delay in CRC management, in high-risk patients, and during combined intervention.

Mutagenic analysis of the conserved residues in dehalogenase IVa of Burkholderia cepacia MBA4

Amino and carboxyl terminal deletion derivatives of dehalogenase IVa (DehIVa) of Burkholderia cepacia MBA4 were constructed and analyzed for enzyme activity and for protein integrity. The results suggested that the majority of the protein is indispensable. Point mutations on 29 conserved charged and/or polar residues were generated and characterized. Derivatives D11E, D11N, D11S and D181N were totally inactive while mutant N178D was defective in catalysis. Mutations of other conserved residues displayed varying effects. Mutation that enhances DehIVa activity has been shown to be inhibitory in other dehalogenase and essential conserved residues in DehIVa have been shown to be dispensable in others. This suggests there is no general rule for the importance of these conserved residues.

Experimental annotation of the human genome using microarray technology

The most important product of the sequencing of a genome is a complete, accurate catalogue of genes and their products, primarily messenger RNA transcripts and their cognate proteins. Such a catalogue cannot be constructed by computational annotation alone; it requires experimental validation on a genome scale. Using 'exon' and 'tiling' arrays fabricated by ink-jet oligonucleotide synthesis, we devised an experimental approach to validate and refine computational gene predictions and define full-length transcripts on the basis of co-regulated expression of their exons. These methods can provide more accurate gene numbers and allow the detection of mRNA splice variants and identification of the tissue- and disease-specific conditions under which genes are expressed. We apply our technique to chromosome 22q under 69 experimental condition pairs, and to the entire human genome under two experimental conditions. We discuss implications for more comprehensive, consistent and reliable genome annotation, more efficient, full-length complementary DNA cloning strategies and application to complex diseases.

Identification of the dimerization domain of dehalogenase IVa of Burkholderia cepacia MBA4

Haloacid dehalogenases are enzymes that catalyze the hydrolytic removal of halogens from haloalkanoic acids. Dehalogenase IVa (DehIVa) from Burkholderia cepacia MBA4 and dehalogenase CI (DehCI) from Pseudomonas sp. strain CBS3 exhibit 68% identity. Despite their similarity DehIVa is a dimeric enzyme while DehCI is a monomer. In this work, we describe the identification of the domain that confers the dimerization function of DehIVa. Recombinant DNA molecules were constructed by fusion of the respective dehalogenase genes hdlIVa and dehCI. When amino acids 73 to 89 of DehCI were replaced by amino acids 74 to 90 of DehIVa, the recombinant molecule migrated like that of DehIVa in a nondenaturing activity-stained gel. Similarly, when residues 73 to 89 of DehIVa were replaced by the corresponding residues of DehCI, the chimera migrated as a monomer. These 17 amino acid changes were able to determine the aggregation states of the molecules. The retention of the catalytic function in these chimeras indicated that the overall folding of these proteins was not affected. Site-directed mutagenesis on hdlIVa however indicated that amino acids Phe58, Thr65, Leu78, and Phe92 of DehIVa are also important for the aggregation state of the protein. This indicates that the 17 residues are not sufficient for the dimerization of the protein.

Cloning and characterization of a cryptic haloacid dehalogenase from Burkholderia cepacia MBA4

Burkholderia cepacia MBA4 has been shown to produce a single dehalogenase batch culture. Moreover, other cryptic dehalogenases were also detected when the cells were grown in continuous culture. In this paper, we report the cloning and characterization of one of the cryptic dehalogenases in MBA4. This cryptic haloacid dehalogenase, designated Chd1, was expressed constitutively in Escherichia coli. This recombinant Chd1 had a relative molecular weight of 58,000 and existed predominantly as a dimer. The subunits had a relative molecular weight of 27,000. Chd1 exhibited isomer specificity, being active towards the L-isomer of 2-monochloropropionic acid only. The structural gene, chd1, was isolated on a 1.7-kb PstI fragment. This fragment contains a functional promoter, because expression of chd1 in E. coli is orientation independent. The nucleotide sequence of this fragment was determined and characterized. An open reading frame of 840 bp encoding a putative peptide of 280 amino acids was identified. This corresponds closely with the size of the subunit. The nucleotide sequence of chd1 did not show any homology with those of other dehalogenase genes. Comparison of the predicted amino acid sequence, however, shows significant homology, ranging from 42 to 50%, with the amino acid sequences of many other dehalogenases. Chd1 is unusual in having a long leader sequence, a property of periplasmic enzymes.

Chromatin structure modulation in Saccharomyces cerevisiae by centromere and promoter factor 1

CPF1 is an abundant basic-helix-loop-helix-ZIP protein that binds to the CDEI motif in Saccharomyces cerevisiae centromeres and in the promoters of numerous genes, including those encoding enzymes of the methionine biosynthetic pathway. Strains lacking CPF1 are methionine auxotrophs, and it has been proposed that CPF1 might positively influence transcription at the MET25 and MET16 genes by modulating promoter chromatin structure. We test this hypothesis and show that the regions surrounding the CDEI motifs in the MET25 and MET16 promoters are maintained in a nucleosome-free state and that this requires the entire CPF1 protein. However, the chromatin structure around the CDEI motifs does not change on derepression of transcription and does not correlate with the methionine phenotype of the cell. An intact CDEI motif but not CPF1 is required for transcriptional activation from a region of the MET25 upstream activation sequence. Our results suggest that CPF1 functions to modulate chromatin structure around the CDEI motif but that these changes at the MET25 and MET16 promoters do not explain how CPF1 functions to maintain methionine-independent growth. The presence of CPF1-dependent chromatin structures at these promoters leads to a weak repression of transcription.

The centromere and promoter factor 1 of yeast contains a dimerisation domain located carboxy-terminal to the bHLH domain

CPF1 is a basic helix-loop-helix (bHLH) protein required for optimal centromere function and for maintaining methionine independent growth in yeast. In this work, we show that the region carboxy-terminal to the bHLH domain of CPF1 is essential for CPF1 function in the cell and for dimerisation of CPF1 in solution. The C-terminus of CPF1 contains a potential long amphipathic helix with a hydrophobic face which could provide a suitable protein:protein interface. Point mutations in residues forming this hydrophobic face are sufficient to weaken the interaction between the protein and DNA. By fusing the DNA binding domain or the transcriptional activation domain of GAL4 to the C-terminal 87 amino acids of CPF1, we show that this region is sufficient for mediating protein:protein interactions in vivo. The C-terminal domain of CPF1 can be replaced by the leucine repeat region of the bHLH-ZIP protein USF and the hybrid CPF1-USF protein functions in vivo to provide normal centromere function and methionine independent growth. However, the CPF1-USF hybrid protein is unable to interact with CPF1 suggesting that a dimer of CPF1 is sufficient for maintaining methionine independent growth and normal centromere function.

Molecular biology of the 2-haloacid halidohydrolase IVa from Pseudomonas cepacia MBA4

The structural gene (hdl IVa) for the Pseudomonas cepacia MBA4 2-haloacid halidohydrolase IVa (Hdl IVa) was isolated on a 1.6 kb fragment of Ps. cepacia MBA4 chromosomal DNA. The recombinant halidohydrolase was expressed in Escherichia coli and Pseudomonas putida and the structural gene was subcloned on to the tac expression vector pBTac1. High-level expression from the tac promoter was seen to be temperature-dependent, a consequence of the nucleotide sequence adjacent to the fragment encoding the halidohydrolase. The nucleotide sequence of the fragment encoding the Hdl IVa was determined and analysed. Three ATG codons were identified in one of the open reading frames and the one corresponding to the start of the hdl IVa structural gene was determined by comparison of the predicted amino acid sequences with the experimentally determined N-terminal sequences of halidohydrolase IVa. The hdl IVa gene encoded a 231-amino acid-residue protein of M(r) 25,900. The sequence and predicted structural data are discussed and comparison is made with sequence data for other halidohydrolases.

Phosphorylation influences the binding of the yeast RAP1 protein to the upstream activating sequence of the PGK gene

Yeast repressor activator protein 1 (RAP1) binds in vitro to specific DNA sequences that are found in diverse genetic elements. Expression of the yeast phosphoglycerate kinase gene (PGK) requires the binding of RAP1 to the activator core sequence within the upstream activating sequence (UAS) of PGK. A DNA fragment Z+ which contains the activator core sequence of the PGK(UAS) has been shown to bind RAP1. Here we report that phosphatase treatment of RAP1 affected its binding to the PGK(UAS) but that this depended on the nature of the sequence flanking the 5' end of the activator core sequence. When the sequence flanking the 5' end of the activator core sequence was different from the PGK RAP1-binding site, phosphatase treatment of RAP1 decreased its binding to the DNA. When the 5' end of the binding site was a match to the PGK RAP1-binding site dephosphorylation of RAP1 increased RAP1 binding to the DNA. These observations were reproduced when the minimal functional DNA-binding domain of the RAP1 protein was used, implicating a phosphorylation-dependent binding of RAP1. This is the first evidence for phosphorylation-dependent binding of RAP1.

ARS binding factor 1 binds adjacent to RAP1 at the UASs of the yeast glycolytic genes PGK and PYK1

The UAS of the yeast gene encoding the glycolytic enzyme phosphoglycerate kinase (PGK) contains several different sequence elements involved in transcriptional activation. These elements include the activator core sequence, which is bound by the RAP1 protein, and three copies of the pentamer sequence 5' CTTCC 3'. Upstream of the activator core sequence is a region (Yfp), identified as the site of a strong DNA-protein interaction. The Yfp region contains the consensus binding site for the factor ABF1. We have purified the Y protein, which binds to the Yfp region, to homogeneity. The Y protein migrates as a doublet on SDS-polyacrylamide gel electrophoresis with an apparent molecular weight of 125 KDa. These properties are similar to those of ABF1. ABF1 synthesised in vitro bound strongly to the Yfp region and formed a gel retardation complex of identical mobility to the complex formed by the Y protein. UAS1 of the pyruvate kinase gene (PYK1) promoter contains a RAP1 binding site and single copy of the CTTCC sequence. We have now identified an ABF1 binding site close to the RAP1 binding site and CTTCC sequence in the PYK1 promoter. This site is strongly bound by ABF1 in vitro. The organisation of the PGK and PYK1 UASs is thus similar to each other and to the transcriptional silencer HMR(E) which also contains these sequences.

Characterisation of the DNA binding domain of the yeast RAP1 protein

The 827 amino acid yeast RAP1 protein interacts with DNA to regulate gene expression at numerous unrelated loci in the yeast genome. By a combination of amino, carboxy and internal deletions, we have defined an internal 235 amino acid fragment of the yeast RAP1 protein that can bind efficiently to the RAP1 binding site of the PGK Upstream Activation Sequence (UAS). This domain spans residues 361 to 596 of the full length protein and lacks any homology to the DNA binding 'zinc finger' or 'helix-turn-helix' structural motifs. All the RAP1 binding sites we have tested bind domain 361-596, arguing that RAP1 binds all its chromosomal sites via this domain. The domain could not be further reduced in size suggesting that it represents the minimal functional DNA binding domain. The relevance of potential regions of secondary structure within the minimal binding domain is discussed.

Transcriptional control of the Saccharomyces cerevisiae PGK gene by RAP1

The promoter of the yeast glycolytic gene encoding phosphoglycerate kinase (PGK) contains an upstream activation sequence between bases -538 and -402 upstream of the initiating ATG. The upstream activation sequence contains multiple functional elements, including an essential region called the activator core (AC) sequence and three copies of the pentamer 5'-CTTCC-3'. The AC sequence shows strong homology to the consensus binding sites for the yeast proteins RAP1 (GRF1) and TUF. We have demonstrated that the yeast protein which interacts with the AC sequence is the DNA-binding protein RAP1. Expression of the PGK gene is found to be regulated according to the carbon source in the growth medium. PGK mRNA levels are high in yeast cells grown in glucose medium but low in yeast cells grown in media containing carbon sources such as pyruvate and acetate. This carbon source regulation of transcription was found to be mediated, in part, via regulation of RAP1 binding to the AC sequence. The promoters of many other yeast glycolytic genes also contain consensus RAP1-binding sites and copies of the CTTCC pentamer. This suggests that RAP1 may be involved in transcriptional control of many other glycolytic genes in addition to the PGK gene.