miR-661 downregulates both Mdm2 and Mdm4 to activate p53.

The p53 pathway is pivotal in tumor suppression. Cellular p53 activity is subject to tight regulation, in which the two related proteins Mdm2 and Mdm4 have major roles. The delicate interplay between the levels of Mdm2, Mdm4 and p53 is crucial for maintaining proper cellular homeostasis. microRNAs (miRNAs) are short non-coding RNAs that downregulate the level and translatability of specific target mRNAs. We report that miR-661, a primate-specific miRNA, can target both Mdm2 and Mdm4 mRNA in a cell type-dependent manner. miR-661 interacts with Mdm2 and Mdm4 RNA within living cells. The inhibitory effect of miR-661 is more prevalent on Mdm2 than on Mdm4. Interestingly, the predicted miR-661 targets in both mRNAs reside mainly within Alu elements, suggesting a primate-specific mechanism for regulatory diversification during evolution. Downregulation of Mdm2 and Mdm4 by miR-661 augments p53 activity and inhibits cell cycle progression in p53-proficient cells. Correspondingly, low miR-661 expression correlates with bad outcome in breast cancers that typically express wild-type p53. In contrast, the miR-661 locus tends to be amplified in tumors harboring p53 mutations, and miR-661 promotes migration of cells derived from such tumors. Thus, miR-661 may either suppress or promote cancer aggressiveness, depending on p53 status.

p53-independent upregulation of miR-34a during oncogene-induced senescence represses MYC.

Aberrant oncogene activation induces cellular senescence, an irreversible growth arrest that acts as a barrier against tumorigenesis. To identify microRNAs (miRNAs) involved in oncogene-induced senescence, we examined the expression of miRNAs in primary human TIG3 fibroblasts after constitutive activation of B-RAF. Among the regulated miRNAs, both miR-34a and miR-146a were strongly induced during senescence. Although members of the miR-34 family are known to be transcriptionally regulated by p53, we find that miR-34a is regulated independently of p53 during oncogene-induced senescence. Instead, upregulation of miR-34a is mediated by the ETS family transcription factor, ELK1. During senescence, miR-34a targets the important proto-oncogene MYC and our data suggest that miR-34a thereby coordinately controls a set of cell cycle regulators. Hence, in addition to its integration in the p53 pathway, we show that alternative cancer-related pathways regulate miR-34a, emphasising its significance as a tumour suppressor.

Identifying regulatory networks by combinatorial analysis of promoter elements.

Several computational methods based on microarray data are currently used to study genome-wide transcriptional regulation. Few studies, however, address the combinatorial nature of transcription, a well-established phenomenon in eukaryotes. Here we describe a new approach using microarray data to uncover novel functional motif combinations in the promoters of Saccharomyces cerevisiae. In addition to identifying novel motif combinations that affect expression patterns during the cell cycle, sporulation and various stress responses, we observed regulatory cross-talk among several of these processes. We have also generated motif-association maps that provide a global view of transcription networks. The maps are highly connected, suggesting that a small number of transcription factors are responsible for a complex set of expression patterns in diverse conditions. This approach may be useful for modeling transcriptional regulatory networks in more complex eukaryotes.

The human olfactory subgenome: from sequence to structure and evolution.

Olfactory receptors (ORs) constitute the largest multigene family in multicellular organisms. Their evolutionary proliferation has been driven by the need to provide recognition capacity for millions of potential odorants with arbitrary chemical configurations. Human genome sequencing has provided a highly informative picture of the "olfactory subgenome", the repertoire of OR genes. We describe here an analysis of 224 human OR genes, a much larger number than hitherto systematically analyzed. These are derived by literature survey, data mining at 14 genomic clusters, and by an OR-targeted experimental sequencing strategy. The presented set contains at least 53% pseudogenes and is minimally divided into 11 gene families. One of these (no. 7) has undergone a particularly extensive expansion in primates. The analysis of this collection leads to insight into the origin of OR genes, suggesting a graded expansion through mammalian evolution. It also allows us to delineate a structural map of the respective proteins. A sequence database and analysis package is provided (http://bioinformatics.weizmann.ac.il/HORDE), which will be useful for analyzing human OR sequences genome-wide.

Mouse-human orthology relationships in an olfactory receptor gene cluster.

The olfactory receptor (OR) subgenome harbors the largest known gene family in mammals, disposed in clusters on numerous chromosomes. One of the best characterized OR clusters, located at human chromosome 17p13.3, has previously been studied by us in human and in other primates, revealing a conserved set of 17 OR genes. Here, we report the identification of a syntenic OR cluster in the mouse and the partial DNA sequence of many of its OR genes. A probe for the mouse M5 gene, orthologous to one of the OR genes in the human cluster (OR17-25), was used to isolate six PAC clones, all mapping by in situ hybridization to mouse chromosome 11B3-11B5, a region of shared synteny with human chromosome 17p13.3. Thirteen mouse OR sequences amplified and sequenced from these PACs allowed us to construct a putative physical map of the OR gene cluster at the mouse Olfr1 locus. Several points of evidence, including a strong similarity in subfamily composition and at least four cases of gene orthology, suggest that the mouse Olfr1 and the human 17p13.3 clusters are orthologous. A detailed comparison of the OR sequences within the two clusters helps trace their independent evolutionary history in the two species. Two types of evolutionary scenarios are discerned: cases of "true orthologous genes" in which high sequence similarity suggests a shared conserved function, as opposed to instances in which orthologous genes may have undergone independent diversification in the realm of "free reign" repertoire expansion.

Scanning force microscopy in the applied biological sciences.

Fifteen years after its invention, the scanning force microscope (SFM) is rooted deep in the biological sciences. Here we discuss the use of SFM in biotechnology and biomedical research. The spectrum of applications reviewed includes imaging, force spectroscopy and mapping, as well as sensor applications. It is our hope that this review will be useful for researchers considering the use of SFM in their studies but are uncertain about its scope of capabilities. For the benefit of readers unfamiliar with SFM technology, the fundamentals of SFM imaging and force measurement are also briefly introduced.

The olfactory receptor gene superfamily: data mining, classification, and nomenclature.

The vertebrate olfactory receptor (OR) subgenome harbors the largest known gene family, which has been expanded by the need to provide recognition capacity for millions of potential odorants. We implemented an automated procedure to identify all OR coding regions from published sequences. This led us to the identification of 831 OR coding regions (including pseudogenes) from 24 vertebrate species. The resulting dataset was subjected to neighbor-joining phylogenetic analysis and classified into 32 distinct families, 14 of which include only genes from tetrapodan species (Class II ORs). We also report here the first identification of OR sequences from a marsupial (koala) and a monotreme (platypus). Analysis of these OR sequences suggests that the ancestral mammal had a small OR repertoire, which expanded independently in all three mammalian subclasses. Classification of "fish-like" (Class I) ORs indicates that some of these ancient ORs were maintained and even expanded in mammals. A nomenclature system for the OR gene superfamily is proposed, based on a divergence evolutionary model. The nomenclature consists of the root symbol 'OR', followed by a family numeral, subfamily letter(s), and a numeral representing the individual gene within the subfamily. For example, OR3A1 is an OR gene of family 3, subfamily A, and OR7E12P is an OR pseudogene of family 7, subfamily E. The symbol is to be preceded by a species indicator. We have assigned the proposed nomenclature symbols for all 330 human OR genes in the database. A WWW tool for automated name assignment is provided.

kPROT: a knowledge-based scale for the propensity of residue orientation in transmembrane segments. Application to membrane protein structure prediction.

Modeling of integral membrane proteins and the prediction of their functional sites requires the identification of transmembrane (TM) segments and the determination of their angular orientations. Hydrophobicity scales predict accurately the location of TM helices, but are less accurate in computing angular disposition. Estimating lipid-exposure propensities of the residues from statistics of solved membrane protein structures has the disadvantage of relying on relatively few proteins. As an alternative, we propose here a scale of knowledge-based Propensities for Residue Orientation in Transmembrane segments (kPROT), derived from the analysis of more than 5000 non-redundant protein sequences. We assume that residues that tend to be exposed to the membrane are more frequent in TM segments of single-span proteins, while residues that prefer to be buried in the transmembrane bundle interior are present mainly in multi-span TMs. The kPROT value for each residue is thus defined as the logarithm of the ratio of its proportions in single and multiple TM spans. The scale is refined further by defining it for three discrete sections of the TM segment; namely, extracellular, central, and intracellular. The capacity of the kPROT scale to predict angular helical orientation was compared to that of alternative methods in a benchmark test, using a diversity of multi-span alpha-helical transmembrane proteins with a solved 3D structure. kPROT yielded an average angular error of 41 degrees, significantly lower than that of alternative scales (62 degrees -68 degrees ). The new scale thus provides a useful general tool for modeling and prediction of functional residues in membrane proteins. A WWW server (http://bioinfo.weizmann.ac.il/kPROT) is available for automatic helix orientation prediction with kPROT.

Primate evolution of an olfactory receptor cluster: diversification by gene conversion and recent emergence of pseudogenes.

The olfactory receptor (OR) subgenome harbors the largest known gene family in mammals, disposed in clusters on numerous chromosomes. We have carried out a comparative evolutionary analysis of the best characterized genomic OR gene cluster, on human chromosome 17p13. Fifteen orthologs from chimpanzee (localized to chromosome 19p15), as well as key OR counterparts from other primates, have been identified and sequenced. Comparison among orthologs and paralogs revealed a multiplicity of gene conversion events, which occurred exclusively within OR subfamilies. These appear to lead to segment shuffling in the odorant binding site, an evolutionary process reminiscent of somatic combinatorial diversification in the immune system. We also demonstrate that the functional mammalian OR repertoire has undergone a rapid decline in the past 10 million years: while for the common ancestor of all great apes an intact OR cluster is inferred, in present-day humans and great apes the cluster includes nearly 40% pseudogenes.

The variable and conserved interfaces of modeled olfactory receptor proteins.

The accumulation of hundreds of olfactory receptor (OR) sequences, along with the recent availability of detailed models of other G-protein-coupled receptors, allows us to analyze the OR amino acid variability patterns in a structural context. A Fourier analysis of 197 multiply aligned olfactory receptor sequences showed an alpha-helical periodicity in the variability profile. This was particularly pronounced in the more variable transmembranal segments 3, 4, and 5. Rhodopsin-based homology modeling demonstrated that the inferred variable helical faces largely point to the interior of the receptor barrel. We propose that a set of 17 hypervariable residues, which point to the barrel interior and are more extracellularly disposed, constitute the odorant complementarity determining regions. While 12 of these residues coincide with established ligand-binding contact positions in other G-protein-coupled receptors, the rest are suggested to form an olfactory-unique aspect of the binding pocket. Highly conserved olfactory receptor-specific sequence motifs, found in the second and third intracellular loops, may comprise the G-protein recognition epitope. The prediction of olfactory receptor functional sites provides concrete suggestions of site-directed mutagenesis experiments for altering ligand and G-protein specificity.

Genome dynamics, evolution, and protein modeling in the olfactory receptor gene superfamily.

The human olfactory subgenome represents several hundred olfactory receptor (OR) genes in a dozen or more clusters on several chromosomes. One OR gene cluster on human chromosome 17 has been characterized by us in detail. Based on a large-scale DNA sequence analysis, we have identified events of gene duplication and fusion as well as the generation of pseudogenes. The latter instances of 'gene death' could underlie the widespread phenomenon of human specific anosmias. Sixteen OR coding regions were found on this cluster, and six of them are pseudogenes. One of these pseudogenes, OR17-23, was found to be an intact open reading frame in an old world monkey. This may be a reflection of an OR repertoire diminution in man. A homology model of the OR protein was constructed by utilizing the rich information available on approximately 200 OR sequences. The putative odorant complementarity determining regions (CDR) was found to consist of 20 hypervariable residues facing an interior caving defined by transmembrane helices 3, 4 and 5. Such a model could be useful in analyzing additional OR gene sequences in the human genome in terms of odorant binding.

Graded Autocatalysis Replication Domain (GARD): kinetic analysis of self-replication in mutually catalytic sets.

A Graded Autocatalysis Replication Domain (GARD) model is proposed, which provides a rigorous kinetic analysis of simple chemical sets that manifest mutual catalysis. It is shown that catalytic closure can sustain self replication up to a critical dilution rate, lambda c, related to the graded extent of mutual catalysis. We explore the behavior of vesicles containing GARD species whose mutual catalysis is governed by a previously published statistical distribution. In the population thus generated, some GARD vesicles display a significantly higher replication efficiency than most others. GARD thus represents a simple model for primordial chemical selection of mutually catalytic sets.

Molecular biology of olfactory receptors.

OR proteins bind odorant ligands and transmit a G-protein-mediated intracellular signal, resulting in generation of an action potential. The accumulation of DNA sequences of hundreds of OR genes provides an opportunity to predict features related to their structure, function and evolutionary diversification. The OR repertoire has evolved a variable ligand-binding site that ascertains recognition of multiple odorants, coupled to constant regions that mediate the cAMP-mediated signal transduction. The cellular second messenger underlies the responses to diverse odorants through the direct gating of olfactory-specific cation channels. This situation necessitates a mechanism of cellular exclusion, whereby each sensory neuron expresses only one receptor type, which in turn influences axonal projections. A 'synaptic image' of the OR repertoire thus encodes the detected odorant in the central nervous system.