Zebrafish ribonucleases are bactericidal: implications for the origin of the vertebrate RNase A superfamily

Understanding the evolutionary origin of the ribonuclease (RNase) A superfamily is of great interest because the superfamily is the sole vertebrate-specific enzyme family known to date. Although mammalian RNases have a diverse array of biochemical and physiological functions, the original function of the superfamily at its birth is enigmatic. Such information may be obtained by studying basal lineages of the vertebrate phylogeny and is necessary for discerning how and why this superfamily originated. Here, we clone and characterize 3 RNase genes from the zebrafish, the most basal vertebrate examined for RNases. We report 1) that all the 3 zebrafish RNases are ribonucleolytically active, with one of them having an RNase activity comparable to that of bovine RNase A, the prototype of the superfamily; 2) that 2 zebrafish RNases have prominent expressions in adult liver and gut, whereas the 3rd is expressed in adult eye and heart; and 3) that all 3 RNases have antibacterial activities in vitro. These results, together with the presence of antibacterial and/or antiviral activities in multiple distantly related mammalian RNases, strongly suggest that the superfamily started as a host-defense mechanism in vertebrate evolution.     

Characterization of an RNase with two catalytic centers. Human RNase6 catalytic and phosphate-binding site arrangement favors the endonuclease cleavage of polymeric substrates

Background

Human RNase6 is a small cationic antimicrobial protein that belongs to the vertebrate RNaseA superfamily. All members share a common catalytic mechanism, which involves a conserved catalytic triad, constituted by two histidines and a lysine (His15/His122/Lys38 in RNase6 corresponding to His12/His119/Lys41 in RNaseA). Recently, our first crystal structure of human RNase6 identified an additional His pair (His36/His39) and suggested the presence of a secondary active site.

Identifying property based sequence motifs in protein families and superfamilies: application to DNase-1 related endonucleases

MOTIVATION: Identification of short conserved sequence motifs common to a protein family or superfamily can be more useful than overall sequence similarity in suggesting the function of novel gene products. Locating motifs still requires expert knowledge, as automated methods using stringent criteria may not differentiate subtle similarities from statistical noise. RESULTS: We have developed a novel automatic method, based on patterns of conservation of 237 physical-chemical properties of amino acids in aligned protein sequences, to find related motifs in proteins with little or no overall sequence similarity. As an application, our web-server MASIA identified 12 property-based motifs in the apurinic/apyrimidinic endonuclease (APE) family of DNA-repair enzymes of the DNase-I superfamily. Searching with these motifs located distantly related representatives of the DNase-I superfamily, such as Inositol 5'-polyphosphate phosphatases in the ASTRAL40 database, using a Bayesian scoring function. Other proteins containing APE motifs had no overall sequence or structural similarity. However, all were phosphatases and/or had a metal ion binding active site. Thus our automated method can identify discrete elements in distantly related proteins that define local structure and aspects of function. We anticipate that our method will complement existing ones to functionally annotate novel protein sequences from genomic projects. AVAILABILITY: MASIA WEB site: http://www.scsb.utmb.edu/masia/masia.html SUPPLEMENTARY INFORMATION: The dendrogram of 42 APE sequences used to derive motifs is available on http://www.scsb.utmb.edu/comp_biol.html/DNA_repair/publication.html     

PeptiSite: A structural database of peptide binding sites in 4D

We developed PeptiSite, a comprehensive and reliable database of biologically and structurally characterized peptide-binding sites, in which each site is represented by an ensemble of its complexes with protein, peptide and small molecule partners. The unique features of the database include: (1) the ensemble site representation that provides a fourth dimension to the otherwise three dimensional data, (2) comprehensive characterization of the binding site architecture that may consist of a multimeric protein assembly with cofactors and metal ions and (3) analysis of consensus interaction motifs within the ensembles and identification of conserved determinants of these interactions. Currently the database contains 585 proteins with 650 peptide-binding sites. http://peptisite.ucsd.edu/ link allows searching for the sites of interest and interactive visualization of the ensembles using the ActiveICM web-browser plugin. This structural database for protein–peptide interactions enables understanding of structural principles of these interactions and may assist the development of an efficient peptide docking benchmark.     

3MOTIF: visualizing conserved protein sequence motifs in the protein structure database

SUMMARY: 3MOTIF is a web application that visually maps conserved sequence motifs onto three-dimensional protein structures in the Protein Data Bank (PDB; Berman et al., Nucleic Acids Res., 28, 235-242, 2000). Important properties of motifs such as conservation strength and solvent accessible surface area at each position are visually represented on the structure using a variety of color shading schemes. Users can manipulate the displayed motifs using the freely available Chime plugin. AVAILABILITY: http://motif.stanford.edu/3motif/     

Investigating microRNA-Target Interaction-Supported Tissues in Human Cancer Tissues Based on miRNA and Target Gene Expression Profiling

Recent studies have revealed that a small non-coding RNA, microRNA (miRNA) down-regulates its mRNA targets. This effect is regarded as an important role in various biological processes. Many studies have been devoted to predicting miRNA-target interactions. These studies indicate that the interactions may only be functional in some specific tissues, which depend on the characteristics of an miRNA. No systematic methods have been established in the literature to investigate the correlation between miRNA-target interactions and tissue specificity through microarray data. In this study, we propose a method to investigate miRNA-target interaction-supported tissues, which is based on experimentally validated miRNA-target interactions. The tissue specificity results by our method are in accordance with the experimental results in the literature.

Availability and Implementation

Our analysis results are available at http://tsmti.mbc.nctu.edu.tw/ and http://www.stat.nctu.edu.tw/hwang/tsmti.html.     

A possible strategy against head and neck cancer: in silico investigation of three-in-one inhibitors

Overexpression of epidermal growth factor receptor (EGFR), Her2, and uroporphyrinogen decarboxylase (UROD) occurs in a variety of malignant tumor tissues. UROD has potential to modulate tumor response of radiotherapy for head and neck cancer, and EGFR and Her2 are common drug targets for the treatment of head and neck cancer. This study attempts to find a possible lead compound backbone from TCM Database@Taiwan (http://tcm.cmu.edu.tw/) for EGFR, Her2, and UROD proteins against head and neck cancer using computational techniques. Possible traditional Chinese medicine (TCM) lead compounds had potential binding affinities with EGFR, Her2, and UROD proteins. The candidates formed stable interactions with residues Arg803, Thr854 in EGFR, residues Thr862, Asp863 in Her2 protein, and residues Arg37, Arg41 in UROD protein, which are key residues in the binding or catalytic domain of EGFR, Her2, and UROD proteins. Thus, the TCM candidates indicated a possible molecule backbone for evolving potential inhibitors for three drug target proteins against head and neck cancer.

An animated interactive 3D complement (I3DC) is available in Proteopedia at http://proteopedia.org/w/Journal:JBSD:35     

Automated classification of RNA 3D motifs and the RNA 3D Motif Atlas

The analysis of atomic-resolution RNA three-dimensional (3D) structures reveals that many internal and hairpin loops are modular, recurrent, and structured by conserved non-Watson–Crick base pairs. Structurally similar loops define RNA 3D motifs that are conserved in homologous RNA molecules, but can also occur at nonhomologous sites in diverse RNAs, and which often vary in sequence. To further our understanding of RNA motif structure and sequence variability and to provide a useful resource for structure modeling and prediction, we present a new method for automated classification of internal and hairpin loop RNA 3D motifs and a new online database called the RNA 3D Motif Atlas. To classify the motif instances, a representative set of internal and hairpin loops is automatically extracted from a nonredundant list of RNA-containing PDB files. Their structures are compared geometrically, all-against-all, using the FR3D program suite. The loops are clustered into motif groups, taking into account geometric similarity and structural annotations and making allowance for a variable number of bulged bases. The automated procedure that we have implemented identifies all hairpin and internal loop motifs previously described in the literature. All motif instances and motif groups are assigned unique and stable identifiers and are made available in the RNA 3D Motif Atlas (http://rna.bgsu.edu/motifs), which is automatically updated every four weeks. The RNA 3D Motif Atlas provides an interactive user interface for exploring motif diversity and tools for programmatic data access.     

Investigation of silent information regulator 1 (Sirt1) agonists from Traditional Chinese Medicine

Silent information regulator 1 (Sirt1), a class III nicotinamide adenine dinucleotide dependent histone deacetylases, is important in cardioprotection, neuroprotection, metabolic disease, calorie restriction, and diseases associated with aging. Traditional Chinese Medicine (TCM) compounds from TCM Database@Taiwan (http://tcm.cmu.edu.tw/) were employed for screening potent Sirt1 agonists, and molecular dynamics (MD) simulation was implemented to simulate ligand optimum docking poses and protein structure under dynamic conditions. TCM compounds such as (S)-tryptophan-betaxanthin, 5-O-feruloylquinic acid, and RosA exhibited good binding affinity across different computational methods, and their drug-like potential were validated by MD simulation. Docking poses indicate that the carboxylic group of the three candidates generated H-bonds with residues in the protein chain from Ser441 to Lys444 and formed H-bond, π–cation interactions, or hydrophobic contacts with Phe297 and key active residue, His363. During MD, stable π–cation interactions with residues Phe273 or Arg274 were formed by (S)-tryptophan-betaxanthin and RosA. All candidates were anchored to His363 by stable π- or H-bonds. Hence, we propose (S)-tryptophan-betaxanthin, 5-O-feruloylquinic acid, and RosA as potential lead compounds that can be further tested in drug development process for diseases associated with aging

An animated interactive 3D complement (I3DC) is available in Proteopedia at http://proteopedia.org/w/Journal:JBSD:28     

Primary structure of a ribonuclease from porcine liver, a new member of the ribonuclease superfamily

In most tissues, ribonucleases (RNases) are found in a latent form complexed with ribonuclease inhibitor (RI). To examine whether these so-called cytoplasmic RNases belong to the same superfamily as pancreatic RNases, we have purified from porcine liver two such RNases (PL1 and PL3) and examined their primary structures. It was found that RNase PL1 belonged to the same family as human RNase Us [Beintema et al. (1988) Biochemistry 27, 4530-4538] and bovine RNase K2 [Irie et al. (1988) J. Biochem. (Tokyo) 104, 289-296]. RNase PL3 was found to be a hitherto structurally uncharacterized type of RNase. Its polypeptide chain of 119 amino acid residues was N-terminally blocked with pyroglutamic acid, and its sequence differed at 63 positions with that of the pancreatic enzyme. All residues important for catalysis and substrate binding have been conserved. Comparison of the primary structure of RNase PL3 with that of its bovine counterpart (RNase BL4; M. Irie, personal communication) revealed an unusual conservation for this class of enzymes; the 2 enzymes were identical at 112 positions. Moreover, comparison of the amino acid compositions of these RNases with that of a human colon carcinoma-derived RNase, RNase HT-29 [Shapiro et al. (1986) Biochemistry 25, 7255-7264], suggested that these three proteins are orthologous gene products. The structural characteristics of RNases PL1 and PL3 were typical of secreted RNases, and this observation questions the proposed cytoplasmic origin of these RI-associated enzymes.     

Ribonucleases and angiogenins from fish

For the first time fish RNases have been isolated and characterized. Their functional and structural properties indicate that they belong to the RNase A superfamily (or tetrapod RNase superfamily), now more appropriately described as the vertebrate RNase superfamily. Our findings suggest why previously repeated efforts to isolate RNases from fish tissues have met with no success; fish RNases have a very low ribonucleolytic activity, and their genes have a low sequence identity with those of mammalian RNases. The investigated RNases are from the bony fish Danio rerio (or zebrafish). Their cDNAs have been cloned and expressed, and the three recombinant proteins have been purified to homogeneity. Their characterization has revealed that they have indeed a very low RNA-degrading activity, when compared with that of RNase A, the superfamily prototype, but comparable with that of mammalian angiogenins; that two of them have angiogenic activity that is inhibited by the cytosolic RNase inhibitor. These data and a phylogenetic analysis indicate that angiogenic fish RNases are the earliest diverging members of the vertebrate superfamily, suggesting that ribonucleases with angiogenic activity were the ancestors of all ribonucleases in the superfamily. They later evolved into both mammalian angiogenins and, through a successful phylogenesis, RNases endowed with digestive features or with diverse bioactivities.     

Seminal RNase: a unique member of the ribonuclease superfamily

The RNase found in bull semen, although a member of the mammalian superfamily of ribonucleases, possesses some unusual properties. Besides its unique structure and enzymic properties, it displays antispermatogenic, antitumor and immunosuppressive activities. Seminal RNase belongs to an interesting group of RNases, the RISBASES (RIbonucleases with Special, i.e. non catalytic, Biological Actions) other members of which include angiogenin, selectively neurotoxic RNases, a lectin and the self-incompatibility factors from a flowering plant.     

The ribonuclease A superfamily of mammals and birds: identifying new members and tracing evolutionary histories

The RNase A superfamily has been important in biochemical, structural, and evolutionary studies and is believed to be the sole vertebrate-specific enzyme family. To understand the origin and diversification of the superfamily, we here determine its entire repertoire in the sequenced genomes of human, mouse, rat, and chicken. We report a previously unnoticed gene cluster in mouse chromosome 10 and a number of new genes, including mammalian RNases 11-13, which are close relatives of the recently identified RNases 9 and 10. Gene expression data imply male-reproductive functions for RNases 9-13, although their sequences suggest the lack of ribonucleolytic activities. In contrast to the presence of 13-20 functional genes in mammals, chicken has only 3 RNase genes, which are evolutionarily close to mammalian RNase 5, like other nonmammalian RNases. This and other evidence suggests that the RNase A superfamily originated from an RNase 5-like gene and expanded in mammals. Together with the fact that multiple lineages of the superfamily, including RNases 2, 3, 5, and 7, have antipathogenic activities, we suggest that the superfamily started off as a host-defense mechanism in vertebrates. Consistent with this hypothesis, all members of the superfamily exhibit high rates of amino acid substitution as is commonly observed in immunity genes.     

HDAPD: a web tool for searching the disease-associated protein structures

Background

PCR-restriction fragment length polymorphism (RFLP) assay is a cost-effective method for SNP genotyping and mutation detection, but the manual mining for restriction enzyme sites is challenging and cumbersome. Three years after we constructed SNP-RFLPing, a freely accessible database and analysis tool for restriction enzyme mining of SNPs, significant improvements over the 2006 version have been made and incorporated into the latest version, SNP-RFLPing 2.

Results

The primary aim of SNP-RFLPing 2 is to provide comprehensive PCR-RFLP information with multiple functionality about SNPs, such as SNP retrieval to multiple species, different polymorphism types (bi-allelic, tri-allelic, tetra-allelic or indels), gene-centric searching, HapMap tagSNPs, gene ontology-based searching, miRNAs, and SNP500Cancer. The RFLP restriction enzymes and the corresponding PCR primers for the natural and mutagenic types of each SNP are simultaneously analyzed. All the RFLP restriction enzyme prices are also provided to aid selection. Furthermore, the previously encountered updating problems for most SNP related databases are resolved by an on-line retrieval system.

Conclusions

The user interfaces for functional SNP analyses have been substantially improved and integrated. SNP-RFLPing 2 offers a new and user-friendly interface for RFLP genotyping that can be used in association studies and is freely available at http://bio.kuas.edu.tw/snp-rflping2.     

LOC 390443 (RNase 9) on chromosome 14q11.2 is related to the RNase A superfamily and contains a unique amino-terminal preproteinlike sequence

A new member of the human RNase A superfamily is reported. Identified in the human genome assembly as LOC 390443, this locus is located 128 kb telomeric to the established RNase A gene family cluster on chromosome 14q11.2. The amino acid sequence of this locus is sufficiently similar to the eight previously identified gene family members to warrant a designation as RNase 9. RNase 9 is expressed in a wide range of human tissues. In addition, a 30-amino acid sequence lying between a 26-amino acid putative signal peptide and the last 148 amino acids that align with the other RNases A is not seen in other members of the RNase A superfamily in any species. Nucleotide and amino acid sequences of RNase 9 in 13 nonhuman primate species were determined and indicate several conserved sites but, also, an excess of nonsynonymous substitutions, about one-third of which are radical substitutions. This suggests that RNase 9, similar to several other human RNases A, has been under diversifying selection in the primates. Data from the mouse and rat genomes indicate that RNase 9 is also present in rodents, thus making it older than most of the established members of the human RNase A superfamily. Many of the human RNases A have been shown to have antimicrobial, antiviral, or antiparasitic functions involved in host-defense mechanisms. The features of RNase 9 described here suggest that it, too, may be involved in host defense and that it, along with the rest of the superfamily, may prove to have played an important role in anthropoid evolution.     

PubstractHelper: A Web-based Text-Mining Tool for Marking Sentences in Abstracts from PubMed Using Multiple User-Defined Keywords

While a huge amount of information about biological literature can be obtained by searching the PubMed database, reading through all the titles and abstracts resulting from such a search for useful information is inefficient. Text mining makes it possible to increase this efficiency. Some websites use text mining to gather information from the PubMed database; however, they are database-oriented, using pre-defined search keywords while lacking a query interface for user-defined search inputs. We present the PubMed Abstract Reading Helper (PubstractHelper) website which combines text mining and reading assistance for an efficient PubMed search. PubstractHelper can accept a maximum of ten groups of keywords, within each group containing up to ten keywords. The principle behind the text-mining function of PubstractHelper is that keywords contained in the same sentence are likely to be related. PubstractHelper highlights sentences with co-occurring keywords in different colors. The user can download the PMID and the abstracts with color markings to be reviewed later. The PubstractHelper website can help users to identify relevant publications based on the presence of related keywords, which should be a handy tool for their research.

Availability

http://bio.yungyun.com.tw/ATM/PubstractHelper.aspx and http://holab.med.ncku.edu.tw/ATM/PubstractHelper.aspx