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VisPan: real-time visualisation of multiplex amplicon-based sequencing panels for rapid syndromic surveillance and pathogen detection.

MOTIVATION: Infectious diseases persist as a major global public health challenge. Diverse factors, including climate change, globalization, deforestation, human-animal interactions, lifestyle choices, and various biological factors, can contribute to their emergence and reemergence. Rapid detection and characterization of (re)emerging pathogens are therefore critical for effective outbreak management and for enhancing our understanding of epidemics by monitoring the transmission, spread, evolution, and genomics of pathogens. In this context, next-generation sequencing technologies (NGS), particularly long-read platforms such as Oxford Nanopore Technologies (ONT), have opened new avenues for real-time pathogen monitoring. However, the bioinformatics bottleneck remains a challenge, emphasizing the need for efficient, accessible, and user-friendly analysis tools. RESULTS: Here, we present a tool adapted from the RAMPART software that enables real-time data visualisation of multiplex PCR syndromic panels combined with Oxford Nanopore sequencing. This real-time analysis enables rapid pathogen detection, from raw data acquisition to taxonomic assignment, within minutes. The interface offers dynamic visual tracking of the sequencing run and amplicon coverage, facilitating immediate insights during diagnostic workflows. Validation experiments confirmed the system's reliability, accurately identifying all pathogens present in complex clinical or environmental samples. This tool provides an integrated, user-friendly solution for genomic pathogen surveillance in field or clinical settings.

Software↗

Cluster-C, an algorithm for the large-scale clustering of protein sequences based on the extraction of maximal cliques.

Although the characterization of proteins cannot solely rely upon sequence similarity, it has been widely proved that all-vs-all massive sequence comparisons may be an effective approach and a good basis for the prediction of biochemical functions or for the delineation of common shared properties. The program Cluster-C presented here enables a stand-alone and efficient construction of protein families within whole proteomes. The algorithm, which is based on the detection of cliques, ensures a high level of connectivity within the clusters. As opposed to the single transitive linkage method, Cluster-C allows a large number of sequences to be classified in such a way that the multidomain proteins do not produce a chain-grouping effect resulting in meaningless clusters. Moreover, some proteins can be present in several different but relevant clusters, which is of help in the determination of their functional domains. In the present analysis we used the Z-value, an evaluation of the significance of the similarity score, as the criterion for connecting sequences (the user can freely define the threshold of the similarity criterion). The clusters built with a rather low threshold (Z= 14) include more than 97% of the sequences and are consistent with known protein families and PROSITE patterns.

Algorithms↗

Prediction and validation of microRNAs and their targets.

MicroRNAs are short non-coding RNAs that inhibit translation of target genes by binding to their mRNAs, and have been shown to play a central role in gene regulation in health and disease. Sophisticated computer-based prediction approaches of microRNAs and of their targets, and effective biological validation techniques for validating these predictions, now play a central role in discovery of microRNAs and elucidating their functions.

Algorithms↗

A phylogenomic analysis of the Ascomycota.

An automated procedure was developed to extract orthologous sequences from fungal genomes and incorporate them into phylogenomic analyses in a timely and efficient manner. This approach involves parsing an all versus all BLASTP search of 17 proteomes and creating a similarity matrix from e-values, which is then used to cluster proteins into related groups by means of a Markov Clustering algorithm. After performing this analysis at different stringency levels, 854 single copy protein clusters, which were ubiquitously distributed in all 17 proteomes, were identified. These clusters were culled to include only those clusters where all proteins had best hits to and received hits from a protein within the same cluster. The final data set included gapless alignments for 781 clusters of orthologous sequences that were concatenated into one super alignment containing 195,664 amino acid characters. Neighbor-joining distance and maximum likelihood analyses resulted in identical topologies and all except one node received 100% bootstrap support. The node supporting Stagonospora nodorum's position received 83% support or higher; it was also the only taxon differentially resolved in the maximum parsimony analyses. All analyses resolved the two derived subphyla Pezizomycotina and Saccharomycotina, and Schizosaccharomyces pombe as an early diverging lineage of the Ascomycota. Importantly, these analyses resolved the Leotiomycetes as the sister group to the Sordariomycetes, a region of the Ascomycota phylogeny that has remained problematic in molecular phylogenetic studies of more limited character sampling. Additional phylogenetic analyses which included orthologous sequences from an unannotated ascomycotan genome (e.g., Coccidioides immitis) and subsets of orthologs with different characteristics supported this topology. Phylogenetic analyses of the 595 orthologs which included C. immitis resulted in an identical topology to the previous 781 ortholog analysis and correctly placed C. immitis in the Eurotiomycetes. This demonstrated the correct identification of orthologs and the ability to incorporate unannotated genomic data into a common phylogenetic analysis.

Ascomycota↗

Induction of the rat Cu/Zn superoxide dismutase gene through the peroxisome proliferator-responsive element by arachidonic acid.

The Cu/Zn superoxide dismutase (SOD1) catalyzes the dismutation of superoxide radicals produced from biological oxidation and environmental stresses. From the sequence analysis of transcription factor binding sites, the peroxisome proliferator-responsive element (PPRE) was located between nt -797 and -786 of the 5'-flanking sequence of the SOD1 gene. A promoter region was fused to a chloramphenicol acetyl-transferase gene, and the resultant construct was transiently transfected into HepG2 cells. The expression of the SOD1 gene was induced by arachidonic acid (AA). Functional analyses of the PPRE site by deletion, mutations, and the heterologous promoter system confirmed the induction of the SOD1 gene by AA through the PPRE site. Gel mobility shift assays showed AA inducible binding of the peroxisome proliferator-activated receptor (PPAR) to the PPRE. The intensity of PPAR binding was also increased by the treatment of retinoic acid (RA) and 9-cis retinoic acid (9-cis RA). These results suggest that the PPRE participates in the induction of the rat SOD1 gene by the peroxisome proliferator.

Animals↗

Expression, purification, and characterization of two N,N-dimethyltransferases, tylM1 and desVI, involved in the biosynthesis of mycaminose and desosamine.

Methylation catalyzed by an S-adenosylmethionine- (AdoMet-) dependent methyltransferase is an effective means to alter the hydrophilicity and/or nucleophilicity of a molecule. While a large number of enzymes capable of catalyzing methylation at carbon, oxygen, sulfur, and nitrogen atoms are known, only a few are able to catalyze N,N-dimethylation. Mycaminose and desosamine are aminohexoses found in several macrolide antibiotics, such as tylosin and methymycin, respectively. Both sugars contain a C-3 N,N-dimethylamino group which has been shown to confer the biological activity of these unusual sugars. Recently, sequence analysis as well as genetic studies has led to the assignment of tylM1 in the tylosin biosynthetic gene cluster and desVI in the methymycin biosynthetic gene cluster as genes encoding the corresponding N,N-dimethyltransferases. To verify the proposed roles of the tylM1 and desVI genes, we have overexpressed and purified their encoded products, synthesized the predicted substrates, and characterized the catalytic function of these proteins. Our studies showed that TylM1 and DesVI are homodimeric proteins and have nearly identical biochemical properties. These enzymes do not have strong preference for binding either the unmethylated substrate or the monomethylated intermediate. It is the chemical reactivity of the nitrogen functional group that determines the relative rate of a particular methylation step. Thus, our results not only establish TylM1 and DesVI as new members of a small family of enzymes that are capable of catalyzing N,N-dimethylation of an amino group but also provide evidence indicating that the methylation catalyzed by AdoMet-dependent methyltransferases proceeds in a stepwise manner and is nucleophilic in nature.

Amino Sugars↗

Structural investigation of chondroitin/dermatan sulfate oligosaccharides from human skin fibroblast decorin.

Hybrid chondroitin/dermatan sulfate (CS/DS) glycosaminoglycan chains, derived from decorin secreted by human skin fibroblasts, were shown to interact with FGF-2, as did oligosaccharides derived therefrom by chondroitin B lyase digestion. In a first attempt to identify the biologically active sequence, a novel protocol for structural analysis of enzyme-resistant oligosaccharides larger than standard trisulfated hexasaccharides was developed. The method bases on capillary electrophoresis (CE) for separating oversulfated species in offline combination with nanoelectrospray ionization quadrupole time-of-flight tandem mass spectrometry (nanoESI-QTOF-MS/MS) in the negative ion mode. Under optimized CE and ESI-MS conditions, up to 12-mer oligosaccharides with different degrees of sulfation were identified. A novel tandem MS protocol (CID-VE) was applied to elucidate the structure of a previously undescribed pentasulfated CS/DS hexasaccharide, Delta-4,5-IdoAGalNAc[GlcAGalNAc]2(5S). In this molecular species, detected as a triply charged ion at m/z 511.38, three sulfates are found in the IdoAGalNAcGlcA moiety offering two structural variants: one containing sulfated IdoA together with a disulfated GalNAc moiety and in the other one both uronic acids, that is, GlcA and IdoA and the amino sugar each carry a sulfate ester group.

Chondroitin Sulfates↗

The molecular biology of tick-borne encephalitis virus. Review article.

Tick-borne encephalitis (TBE) virus is a member of the flavivirus genus and the family Flaviviridae. Like other flaviviruses such as yellow fever, Japanese encephalitis or the dengue viruses, it is an important human pathogen, endemic in many European countries, Russia and China. The disease can be effectively prevented by vaccination with a formalin-inactivated whole virus vaccine. In recent years major advances have been made in the understanding of the molecular biology of TBE virus, including the complete sequence analysis of the genomic RNA of the European and Far Eastern strains. As shown in these studies, the virion RNA contains a single long open reading frame that codes for the structural proteins at the 5' end and the nonstructural proteins at the 3' end. Co- and posttranslational cleavages by a viral and cellular proteases lead to the formation of individual viral proteins. The mature virion is composed of an isometric capsid surrounded by a lipid envelope with two membrane-associated proteins. One of these, protein E, is of paramount importance for several important viral functions, especially during the entry phase of the viral life cycle. Protein E is also responsible for the induction of a protective immune response. A detailed map of antigenic sites has been established and the structure of an anchor-free form of E is currently being investigated by X-ray diffraction analysis. Understanding the molecular basis of the functions of this protein together with the knowledge of its three-dimensional structure may provide clues for developing specific antiviral agents. Protein E has also been shown to be an important determinant of virulence, with single amino acid substitutions at selected sites leading to attenuation. Engineering of such mutations into cDNA clones to produce new recombinant viruses may open up new avenues for the development of live vaccines.

Encephalitis Viruses, Tick-Borne↗

The 3of5 web application for complex and comprehensive pattern matching in protein sequences.

BACKGROUND: The identification of patterns in biological sequences is a key challenge in genome analysis and in proteomics. Frequently such patterns are complex and highly variable, especially in protein sequences. They are frequently described using terms of regular expressions (RegEx) because of the user-friendly terminology. Limitations arise for queries with the increasing complexity of patterns and are accompanied by requirements for enhanced capabilities. This is especially true for patterns containing ambiguous characters and positions and/or length ambiguities. RESULTS: We have implemented the 3of5 web application in order to enable complex pattern matching in protein sequences. 3of5 is named after a special use of its main feature, the novel n-of-m pattern type. This feature allows for an extensive specification of variable patterns where the individual elements may vary in their position, order, and content within a defined stretch of sequence. The number of distinct elements can be constrained by operators, and individual characters may be excluded. The n-of-m pattern type can be combined with common regular expression terms and thus also allows for a comprehensive description of complex patterns. 3of5 increases the fidelity of pattern matching and finds ALL possible solutions in protein sequences in cases of length-ambiguous patterns instead of simply reporting the longest or shortest hits. Grouping and combined search for patterns provides a hierarchical arrangement of larger patterns sets. The algorithm is implemented as internet application and freely accessible. The application is available at http://dkfz.de/mga2/3of5/3of5.html. CONCLUSION: The 3of5 application offers an extended vocabulary for the definition of search patterns and thus allows the user to comprehensively specify and identify peptide patterns with variable elements. The n-of-m pattern type offers an improved accuracy for pattern matching in combination with the ability to find all solutions, without compromising the user friendliness of regular expression terms.

Algorithms↗

Carcinogenetic process in gallbladder mucosa with pancreaticobiliary maljunction (Review).

Pancreaticobiliary maljunction (PBM) is a congenital anomaly with a high incidence of biliary tract carcinoma. Pathological findings strongly suggest that there is a hyperplasia-dysplasia-carcinoma sequence in carcinogenesis of PBM. A molecular biological analysis revealed high incidence of cellular proliferation activating factors such as TGF-alpha, COX-2 from the hyperplasia stage. In addition, cellular proliferative activity including BrdU, AgNOR, PCNA, and Ki-67 was significantly higher in regular gallbladder mucosa without PBM. Furthermore, a high incidence of K-ras gene mutation could be seen in hyperplasia (13-63%) and microsatellite instability could be observed in 60% of all cases in dysplasia. In cancerous lesions, a high rate of overexpression of cyclin D1, beta-catenin, p53, as well as p53 gene mutation has been recognized. These results suggest that a multistep carcinogenetic process contributes to the carcinogenesis of PBM, similar to that of other cancers. In addition, after preventive operation with resection of the extrahepatic bile duct is performed, carcinogenesis in the remnant biliary tract or pancreatic duct is rarely found. Whether the carcinogenesis is a result of the accumulation of genetic alteration from shortly after birth, or a result of regurgitation of gastrointestinal juice due to hepaticoenterostomy, remains unknown. Since a high frequency of COX-2 is positive in PBM, COX-2 inhibitors such as NSAIDs may play an important role in preventing carcinogenesis.

Anti-Inflammatory Agents, Non-Steroidal↗

[Design of the automatic system of processing data on mitochondrial DNA "mDNAbase" sequestration for expert identification of the unidentified bodies under the conditions of mass reception of human remains].

The authors consider utilization of software which provides indirect personality identification by establishment of biological kinship using a comparative analysis of nucleotide sequences (NS) of mitochondrial DNA (mtDNA) in unidentified bodies and suspected relatives of these victims. The software supports data bases with information on NS. To secure automatic search there are modes of cross-processing. Results of identification are formed as lists of exclusions and tables with calculated frequencies of mitotypes of identification objects as well as protocols of a comparative analysis of nucleotide position in mtDNA sequences under comparison. The proposed computer approach is a new highly effective tool for identification of personality based on data on mtDNA analysis in conditions of stream information processing under mass reception of unidentified bodies.

Cadaver↗

Wavelet analysis of DNA walks.

A wavelet transform of the DNA "walk" constructed from a genomic sequence offers a direct visualization of short and long-range patterns in nucleotide sequences. We study sequences that encode diverse biological functions, taken from a variety of genomes. Pattern irregularities in the transform are frequently associated with sequences of biological interest. Exonic regions, for example, visualize differently under wavelet analysis than introns, and ribosomal RNA regions display distinct universal signatures. DNA walk wavelet analysis can provide a sensitive and rapid assessment of the putative biological significance of genomic DNA.

Animals↗

Molecular biology of the GABA(A) receptor: functional domains implicated by mutational analysis.

GABA(A) receptors are the major inhibitory neurotransmitter receptors in mammalian brain. They belong to a family of ligand-gated ion channels that also includes the nicotinic acetylcholine receptors, glycine receptors and 5HT(3) receptors. Each receptor in the family is believed to be a pentamer of homologous subunits that assemble to form a central transmembrane ion pore which, in the case of the GABA(A) receptor, is anion-selective. For almost twenty years, there has been tremendous interest in the structure and function of GABA(A) receptors, not only because of their importance in regulating brain excitability but also because these proteins are the specific targets for a wide variety of therapeutic agents including the anxiolytic benzodiazepines and barbiturates. Molecular cloning has revealed that GABA(A) receptors are heterogeneous, being formed by combinations of different isoforms of several subunit classes (alpha, beta, gamma, delta). The physiological and pharmacological properties of individual GABAA receptor subtypes appear to depend on their precise subunit complement. In this review, we focus on the application of modern techniques in molecular biology, particularly mutational analysis, to identify structural domains of these receptors that are important for ligand recognition and receptor function.

Amino Acid Sequence↗

Bacillus thuringiensis Cry1Ca-resistant Spodoptera exigua lacks expression of one of four Aminopeptidase N genes.

BACKGROUND: Insecticidal toxins from Bacillus thuringiensis bind to receptors on midgut epithelial cells of susceptible insect larvae. Aminopeptidases N (APNs) from several insect species have been shown to be putative receptors for these toxins. Here we report the cloning and expression analysis of four APN cDNAs from Spodoptera exigua. RESULTS: Suppression Subtractive Hybridization (SSH) was used to construct cDNA libraries of genes that are up-and down-regulated in the midgut of last instar larvae of beet armyworm, S. exigua exposed to B. thuringiensis Cry1Ca toxin. Among the clones from the SSH libraries, cDNA fragments coding for two different APNs were obtained (APN2 and APN4). A similar procedure was employed to compare mRNA differences between susceptible and Cry1Ca resistant S. exigua. Among the clones from this last comparison, cDNA fragments belonging to a third APN (APN1) were detected. Using sequences obtained from the three APN cDNA fragments and degenerate primers for a fourth APN (APN3), the full length sequences of four S. exigua APN cDNAs were obtained. Northern blot analysis of expression of the four APNs showed complete absence of APN1 expression in the resistant insects, while the other three APNs showed similar expression levels in the resistant and susceptible insects. CONCLUSION: We have cloned and characterized four different midgut APN cDNAs from S. exigua. Expression analysis revealed the lack of expression of one of these APNs in the larvae of a Cry1Ca-resistant colony. Combined with previous evidence that shows the importance of APN in the mode of action of B. thuringiensis toxins, these results suggest that the lack of APN1 expression plays a role in the resistance to Cry1Ca in this S. exigua colony.

Amino Acid Sequence↗

Genomic exploration of the hemiascomycetous yeasts: 2. Data generation and processing.

The generation of sequencing data for the hemiascomycetous yeast random sequence tag project was performed using the procedures established at GENOSCOPE. These procedures include a series of protocols for the sequencing reactions, using infra-red labelled primers, performed on both ends of the plasmid inserts in the same reaction tube, and their analysis on automated DNA sequencers. They also include a package of computer programs aimed at detecting potential assignation errors, selecting good quality sequences and estimating their useful length.

Ascomycota↗

New trends in bioinformatics: from genome sequence to personalized medicine.

Molecular medicine requires the integration and analysis of genomic, molecular, cellular, as well as clinical data and it thus offers a remarkable set of challenges to bioinformatics. Bioinformatics nowadays has an essential role both, in deciphering genomic, transcriptomic, and proteomic data generated by high-throughput experimental technologies, and in organizing information gathered from traditional biology and medicine. The evolution of bioinformatics, which started with sequence analysis and has led to high-throughput whole genome or transcriptome annotation today, is now going to be directed towards recently emerging areas of integrative and translational genomics, and ultimately personalized medicine.Therefore considerable efforts are required to provide the necessary infrastructure for high-performance computing, sophisticated algorithms, advanced data management capabilities, and-most importantly-well trained and educated personnel to design, maintain and use these environments. This review outlines the most promising trends in bioinformatics, which may play a major role in the pursuit of future biological discoveries and medical applications.

Computational Biology↗

Analysis of expressed sequence tags of the water flea Daphnia magna.

To study gene expression in the water flea Daphnia magna we constructed a cDNA library and characterized the expressed sequence tags (ESTs) of 7210 clones. The EST sequences clustered into 2958 nonredundant groups. BLAST analyses of both protein and DNA databases showed that 1218 (41%) of the unique sequences shared significant similarities to known nucleotide or amino acid sequences, whereas the remaining 1740 (59%) showed no significant similarities to other genes. Clustering analysis revealed particularly high expression of genes related to ATP synthesis, structural proteins, and proteases. The cDNA clones and EST sequence information should be useful for future functional analysis of daphnid biology and investigation of the links between ecology and genomics.

Animals↗

A token-pruning framework enables efficient representation of the human genome for RNA modification analysis.

MOTIVATION: Modelling long genomic sequences remains challenging due to extreme sequence length, high redundancy, and the need for biological interpretability. Although Transformer-based architectures have achieved strong performance across genomic tasks, their high computational cost and reliance on fixed tokenization strategies limit their scalability and ability to focus on biologically informative regions. RESULTS: We propose ATSFormer, a token-pruning Transformer framework for efficient and biologically informed genomic sequence modelling. ATSFormer incorporates an attention-guided and parameter-free Adaptive Token Sampling (ATS) module into Transformer layers. Guided by attention-derived importance scores, ATS dynamically retains informative tokens while probabilistically discarding redundant ones, thereby reducing sequence length, FLOPs, and memory usage without introducing additional learnable parameters or extra training procedures. Importantly, the retained tokens correspond to key contributors to model predictions, enabling ATSFormer to highlight biologically meaningful sites and sequence motifs. We evaluated ATSFormer on four benchmark RNA modification datasets derived from RMVar 2.0, covering A-to-I, m1A, m5C, and m7G. Experimental results show that ATSFormer consistently outperforms existing state-of-the-art methods while achieving substantial computational savings. Furthermore, structural analysis using AlphaFold3 supports the biological relevance of the motifs identified by ATSFormer. AVAILABILITY AND IMPLEMENTATION: The source data and code are freely available at GitHub (https://github.com/1gao2/ATSFormer) and Zenodo (https://doi.org/10.5281/zenodo.21813541).

Humans↗