Stefano Toppo

Telethonin, a novel sarcomeric protein of heart and skeletal muscle

In this paper we describe a novel 19 kDa sarcomeric protein named telethonin. The cDNA sequence discloses an open reading frame of 167 amino acids that does not resemble any known protein. Antibodies against a recombinant telethonin fragment were used for Western blot analysis, confirming the presence of this 19 kDa protein in heart and skeletal muscle and revealing an immunofluorescence pattern typical of sarcomeric proteins, overlapping myosin. The frequency of specific cDNA clones in different libraries indicates that the telethonin transcript is amongst the most abundant in skeletal muscle. In human, telethonin maps at 17q12, adjacent to the phenylethanolamine N‐methyltransferase gene.

Applications of Next-Generation Sequencing Technologies to Diagnostic Virology

Novel DNA sequencing techniques, referred to as “next-generation” sequencing (NGS), provide high speed and throughput that can produce an enormous volume of sequences with many possible applications in research and diagnostic settings. In this article, we provide an overview of the many applications of NGS in diagnostic virology. NGS techniques have been used for high-throughput whole viral genome sequencing, such as sequencing of new influenza viruses, for detection of viral genome variability and evolution within the host, such as investigation of human immunodeficiency virus and human hepatitis C virus quasispecies, and monitoring of low-abundance antiviral drug-resistance mutations. NGS techniques have been applied to metagenomics-based strategies for the detection of unexpected disease-associated viruses and for the discovery of novel human viruses, including cancer-related viruses. Finally, the human virome in healthy and disease conditions has been described by NGS-based metagenomics.

A Comparison of Thiol Peroxidase Mechanisms

Thiol peroxidases comprise glutathione peroxidases (GPx) and peroxiredoxins (Prx). The enzymes of both families reduce hydroperoxides with thiols by enzyme-substitution mechanisms. H(2)O(2) and organic hydroperoxides are reduced by all thiol peroxidases, most efficiently by SecGPxs, whereas fast peroxynitrite reduction is more common in Prxs. Reduction of lipid hydroperoxides is the domain of monomeric GPx4-type enzymes and of some Prxs. The catalysis starts with oxidation of an active-site selenocysteine (U(P)) or cysteine (C(P)). Activation of Cys (Sec) for hydroperoxide reduction in the GPx family is achieved by a typical tetrad composed of Cys (Sec), Asn, Gln, and Trp, whereas a triad of Cys Thr (or Ser) and Arg is the signature of Prx. In many of the CysGPxs and Prxs, a second Cys (C(R)) is required. In these 2-CysGPxs and 2-CysPrxs, the C(P) oxidized to a sulfenic acid forms an intra- or intermolecular disulfide (typical 2-CysPrx) with C(R), before a stepwise regeneration of ground-state enzyme by redoxin-type proteins can proceed. In SecGPxs and sporadically in Prxs, GSH is used as the reductant. Diversity combined with structural variability predestines thiol peroxidases for redox regulation via ROOH sensing and direct or indirect transduction of oxidant signals to specific protein targets.

Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

BackgroundPredicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic scale, are necessary and urgent. In this scenario, the Gene Ontology has provided the means to standardize the annotation classification with a structured vocabulary which can be easily exploited by computational methods.ResultsArgot2 is a web-based function prediction tool able to annotate nucleic or protein sequences from small datasets up to entire genomes. It accepts as input a list of sequences in FASTA format, which are processed using BLAST and HMMER searches vs UniProKB and Pfam databases respectively; these sequences are then annotated with GO terms retrieved from the UniProtKB-GOA database and the terms are weighted using the e-values from BLAST and HMMER. The weighted GO terms are processed according to both their semantic similarity relations described by the Gene Ontology and their associated score. The algorithm is based on the original idea developed in a previous tool called Argot. The entire engine has been completely rewritten to improve both accuracy and computational efficiency, thus allowing for the annotation of complete genomes.ConclusionsThe revised algorithm has been already employed and successfully tested during in-house genome projects of grape and apple, and has proven to have a high precision and recall in all our benchmark conditions. It has also been successfully compared with Blast2GO, one of the methods most commonly employed for sequence annotation. The server is freely accessible at http://www.medcomp.medicina.unipd.it/Argot2.

Functional Interaction of Phospholipid Hydroperoxide Glutathione Peroxidase with Sperm Mitochondrion-associated Cysteine-rich Protein Discloses the Adjacent Cysteine Motif as a New Substrate of the Selenoperoxidase

The mitochondrial capsule is a selenium- and disulfide-rich structure enchasing the outer mitochondrial membrane of mammalian spermatozoa. Among the proteins solubilized from the sperm mitochondrial capsule, we confirmed, by using a proteomic approach, the presence of phospholipid hydroperoxide glutathione peroxidase (PHGPx) as a major component, and we also identified the sperm mitochondrion-associated cysteine-rich protein (SMCP) and fragments/aggregates of specific keratins that previously escaped detection (Ursini, F., Heim, S., Kiess, M., Maiorino, M., Roveri, A., Wissing, J., and Flohé, L. (1999) Science 285, 1393-1396). The evidence for a functional association between PHGPx, SMCP, and keratins is further supported by the identification of a sequence motif of regularly spaced Cys-Cys doublets common to SMCP and high sulfur keratin-associated proteins, involved in bundling hair shaft keratin by disulfide cross-linking. Following the oxidative polymerization of mitochondrial capsule proteins, catalyzed by PHGPx, two-dimensional redox electrophoresis analysis showed homo- and heteropolymers of SMCP and PHGPx, together with other minor components. Adjacent cysteine residues in SMCP peptides are oxidized to cystine by PHGPx. This unusual disulfide is known to drive, by reshuffling oxidative protein folding. On this basis we propose that oxidative polymerization of the mitochondrial capsule is primed by the formation of cystine on SMCP, followed by reshuffling. Occurrence of reshuffling is further supported by the calculated thermodynamic gain of the process. This study suggests a new mechanism where selenium catalysis drives the cross-linking of structural elements of the cytoskeleton via the oxidation of a keratin-associated protein.

Organochalcogen peroxidase mimetics as potential drugs: a long story of a promise still unfulfilled

Organochalcogen compounds have attracted the interest of a multitude of studies to design potential therapeutic agents mimicking the peroxidase activity of selenium-based glutathione peroxidases (GPxs). Starting from the pioneering ebselen, various compounds have been synthesized over the years, which may be traced in three major classes of molecules: cyclic selenenyl amides, diaryl diselenides, and aromatic or aliphatic monoselenides. These compounds share common features and determinants needed to exert an efficient GPx-like activity, such as polarizing groups in close proximity to selenium and steric effects. Nonetheless, the reactivity of selenium, and tellurium as well, poses serious problems for the predictability of the biological effects of these compounds in vivo when used as potential drugs. These molecules, indeed, interfere with thiols of redox-regulated proteins and enzymes, leading to unexpected biological effects. The various chemical aspects of the reaction mechanism of peroxidase mimetics are surveyed here, focusing on experimental evidence and quantum mechanics calculations of organochalcogen representatives of the various classes.

Next-generation sequencing technologies in diagnostic virology

The data deluge produced by next-generation sequencing (NGS) technologies is an appealing feature for clinical virologists that are involved in the diagnosis of emerging viral infections, molecular epidemiology of viral pathogens, drug-resistance testing, and also like to do some basic and clinical research. Indeed, NGS platforms are being implemented in many clinical and research laboratories, as the costs of these platforms are progressively decreasing. We provide here some suggestions for virologists who are planning to implement a NGS platform in their clinical laboratory and an overview on the potential applications of these technologies in diagnostic virology.

Human papillomavirus genotyping by 454 next generation sequencing technology.

BACKGROUND An accurate tool for human papillomavirus (HPV) typing is important both for management of patients with HPV infection and for surveillance studies. OBJECTIVES Design and evaluation of an HPV typing method based on 454 next generation sequencing (NGS) technology. STUDY DESIGN Development of an HPV typing method based on 454 NGS of HPV L1 amplicons generated with MY09/11-based primers. Evaluation of the NGS method in control samples and in a panel of cervical cytological samples. Comparison of the NGS typing method with cycle sequencing and with the reverse hybridization-based INNO-LiPA HPV Genotyping Extra assay (LiPA). RESULTS In control samples carrying mixtures of HPV16 and HPV18 DNA, the NGS method could reliably detect genotype sequences occurring at a frequency of 1% in multiple infections with a sensitivity of 100 genome equivalents/μL. In cervical cytology samples, comparison with cycle sequencing demonstrated accuracy of HPV typing by NGS. The NGS method had however lower sensitivity for some HPV types than LiPA, conceivably due to the poor sensitivity of the MY09/11-based primers. At variance, LiPA could not detect HPV types which were present in low proportion in multiple infections (<10% of HPV reads obtained by NGS). In addition, NGS allowed identifying the presence of different variants of the same HPV type in a specimen. CONCLUSIONS NGS is a promising method for HPV typing because of its high sensitivity in multiple infection and its potential ability to detect a broad spectrum of HPV types, subtypes, and variants.

Simplifying amino acid alphabets by means of a branch and bound algorithm and substitution matrices

MOTIVATION Protein and DNA are generally represented by sequences of letters. In a number of circumstances simplified alphabets (where one or more letters would be represented by the same symbol) have proved their potential utility in several fields of bioinformatics including searching for patterns occurring at an unexpected rate, studying protein folding and finding consensus sequences in multiple alignments. The main issue addressed in this paper is the possibility of finding a general approach that would allow an exhaustive analysis of all the possible simplified alphabets, using substitution matrices like PAM and BLOSUM as a measure for scoring. RESULTS The computational approach presented in this paper has led to a computer program called AlphaSimp (Alphabet Simplifier) that can perform an exhaustive analysis of the possible simplified amino acid alphabets, using a branch and bound algorithm together with standard or user-defined substitution matrices. The program returns a ranked list of the highest-scoring simplified alphabets. When the extent of the simplification is limited and the simplified alphabets are maintained above ten symbols the program is able to complete the analysis in minutes or even seconds on a personal computer. However, the performance becomes worse, taking up to several hours, for highly simplified alphabets. AVAILABILITY AlphaSimp and other accessory programs are available at http://bioinformatics.cribi.unipd.it/alphasimp

Transcriptome analysis of Medicago truncatula leaf senescence: similarities and differences in metabolic and transcriptional regulations as compared with Arabidopsis, nodule senescence and nitric oxide signalling

Here, for the first time, a comprehensive transcriptomics study is presented of leaf senescence in the legume model Medicago truncatula, providing a broad overview of differentially expressed transcripts involved in this process. The cDNA-amplification fragment length polymorphism (AFLP) technique was used to identify > 500 genes, which were cloned and sorted into functional categories according to their gene ontology annotation. Comparison between the datasets of Arabidopsis and M. truncatula leaf senescence reveals common physiological events but differences in the nitrogen metabolism and in transcriptional regulation. In addition, it was observed that a minority of the genes regulated during leaf senescence were equally involved in other processes leading to programmed cell death, such as nodule senescence and nitric oxide signalling. This study provides a wide transcriptional profile for the comprehension of key events of leaf senescence in M. truncatula and highlights a possible regulative role for MADS box transcription factors in the terminal phases of the process.