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At least 163 records · Page 9Linked to original sources
PubMed2026

PULPO: pipeline of understanding large-scale patterns of oncogenomic signatures.

SUMMARY: PULPO v1.0 is a novel; fully automated pipeline designed for the preprocess and extraction of mutational signatures from raw Optical Genome Mapping (OGM) data. Built using Snakemake and executed within an isolated, Conda-managed environment, PULPO transforms complex cytogenetic alterations, captured at ultra-high resolution, into Catalogue of somatic mutations in cancer mutational signatures (COSMIC). This innovative approach not only enables researchers to work directly from raw OGM inputs but also streamlines the traditionally complex process of signature extraction, making advanced oncogenomic analyses accessible to users with varying levels of bioinformatics expertise. By facilitating the integration of comprehensive structural variants (SVs) and copy number variants (CNVs) data with established signature catalogues, PULPO paves the way for improved diagnostic accuracy and personalized therapeutic strategies. AVAILABILITY AND IMPLEMENTATION: The pipeline is open source and freely available under the MIT License at https://github.com/OncologyHNJ/PULPO-v.1.0 and DOI in Zenodo: https://zenodo.org/records/17749097.

Software↗
PubMed2001

The PACRAT system: an extensible WWW-based system for correlated sequence retrieval, storage and analysis.

With PACRAT (Patterns, Analyses, Correlations. Remote Archive Testbed) we present an online database solution to the problem of accessing high-confidence sequences with specific relationships to classes of genes, such as upstream intergenic regions attached to tRNA genes. In addition the software contains a data warehousing and analysis-facilitating suite to streamline the process of analyzing the collected data. An unexpected additional benefit of the system is that it also provides easy access to sequences of lower confidence, and may be of assistance in such things as resolving ORF-call conflicts in genomic annotation projects.

Computational Biology↗
PubMed2026

A Novel Approach to Engineering Tomato Spotted Wilt Virus Infectious Clones by Disarming Key Nodes in Antiviral Defenses.

Tomato spotted wilt virus (TSWV) is an economically devastating pathogen that rapidly overcomes genetic resistance in major crops. Reverse genetic systems are crucial for investigating plant-virus interactions and resistance-breaking mechanisms, and developing these tools for segmented ambisense RNA viruses remains a crucial challenge. Current TSWV clones rely on extensively modified Asian isolates requiring co-delivery of multiple replication helpers and viral silencing suppressors. Streamlining these systems for regionally significant strains with minimal genetic alterations is essential. Here, we developed the first infectious clone of a U.S. TSWV isolate (PA01). Three binary plasmids contain cDNAs for the antigenomic L and S segments, as well as the genomic M segment, with enhanced GFP replacing NSs on the S segment. Co-delivery of the cucumovirus 2b alone or in combination with tombusvirus P19 or begomovirus AL2 achieved a high proportion of systemically infected Nicotiana benthamiana and Capsicum annuum plants. In N. tabacum, co-delivering the Caenorhabditis elegans cell death suppressor CED-9 or using NahG transgenic plants produced 30 to 33% systemically infected plants. Co-delivery of 2b boosted infection levels in NahG plants to 62%. These data indicate that in addition to the antiviral RNA-silencing machinery, additional host defense pathways influence TSWV rescue and systemic infection from cDNA. [Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.

Tospovirus↗
PubMed2025

Genome-Wide Profiling of Histone Modifications in Fission Yeast Using CUT&Tag.

Eukaryotic DNA is organized in the nucleus in the form of chromatin. Nucleosomes, the fundamental unit of chromatin, are subject to many posttranslational modifications (PTMs) as well as compositional variations through incorporation of histone variants. These alterations play important roles in regulation of genome structure and activity. Genome-wide profiling of these regulatory features is essential for understanding of genome function. Chromatin immunoprecipitation coupled with next-generation sequencing (ChIP-Seq) is a widely used method to assay genome-wide localization in fission yeast but suffers from the requirement for a large amount of input chromatin, antibodies, and a cumbersome experimental pipeline. New methods such as Cleavage Under Targets and Tagmentation (CUT&Tag), which combine the specificity of targeted cleavage and adapter insertion with the sensitivity of next-generation sequencing, enable identification and characterization of various epigenetic marks affording low input requirement as well as more streamlined protocols. However, these approaches have not been adapted for use in fission yeast, Schizosaccharomyces pombe. Here, we describe an adapted CUT&Tag protocol for epigenomic profiling in fission yeast using the heterochromatin-associated histone H3K9 methylation PTM for benchmarking.

Schizosaccharomyces↗
PubMed1990

Streamlined approach to creating yeast artificial chromosome libraries from specialized cell sources.

The study of tumor-specific chromosomal abnormalities has been severely impeded by an inability to link cytogenetic to molecular data. Restriction fragment length polymorphism mapping of any particular chromosomal rearrangement to the resolution limit of genetic methodology generates sets of probes that frequently are still too widely spaced to render the rearrangement breakpoints accessible to molecular isolation. The stable propagation of genomic fragments of up to one million base pairs in size as yeast artificial chromosomes (YACs) represents an important development in this regard. However, existing YAC libraries have been made from karyotypically normal sources making the localization and cloning of specific rearrangement breakpoints much more difficult. As a solution to this problem, we present an improved method for creating YAC libraries that can utilize specialized tumor-derived materials and that can be executed effectively in a small laboratory setting. Procedures that enabled more consistent DNA insert size selection and enhanced yeast transformation frequency were employed to generate a human YAC library from a neuroepithelioma cell line containing a characteristic t(11;22) chromosomal translocation. Approximately 40,000 colonies with an average insert size of 330 kilobase pairs were created. This library was screened with two single-copy probes that bracket the translocation breakpoint. YAC clones ranging from 370 to 550 kilobase pairs that were specific for each single-copy probe were identified. Specialized YAC libraries will make many more tumor-specific chromosomal abnormalities accessible to molecular isolation.

Cell Line↗
PubMed2025

Misdetection of frameshifts in SARS-CoV-2 genomes: need for additional harmonisation and efficient monitoring of data workflows.

Five years after the outbreak of the SARS-CoV-2 pandemic in 2020, diagnostic laboratories have moved from massive sequencing of thousands of samples to routine surveillance of SARS-CoV-2 cases, as with all other respiratory viruses. Surveillance remains of paramount importance to prevent a further SARS-CoV-2 surge, as the virus has been shown to mutate rapidly and can render available drugs and vaccines ineffective. During the pandemic, several bioinformatics pipelines and workflows have been developed to streamline analysis, shorten turnaround time and ensure reproducibility. As the number of samples decreases, laboratories are moving towards more flexible sequencing strategies and optimizing the cost per sample. However, workflow redesigns, even if individual steps have proven successful time and time again, can lead to challenges when changes in a bioinformatics pipeline are introduced (e.g. version updates, implementation of new features, etc.), a new combination of viral mutations emerge or a change in wet-lab procedures leads to unpredictable results. Here, we present a report of misidentified frameshift mutations in the consensus sequence of SARS-CoV-2, which led to an incorrect assumption of mutations in the spike and nucleocapsid viral proteins with the potential to affect PCR detection or even antigen testing. This investigation exemplifies the need for better awareness of the challenges that can occur even when using routinely applied protocols and analytical workflows and highlights the need for cooperation between experts of NGS, bioinformaticians and decision-makers towards more harmonized data workflows.

SARS-CoV-2↗
PubMed2002

The fertile field of Drosophila Jak/STAT signalling.

The JAK/STAT pathway plays important roles in vertebrate and invertebrate development. The recent cloning and characterisation of the receptor in Drosophila shows that the pathway is conserved across phyla. In this review we describe current knowledge of the pathway and use genome data to discuss what elements are present in Drosophila. We also summarise recent work describing the involvement of the JAK/STAT pathway in oogenesis and spermatogenesis. Interestingly, the JAK/STAT pathway maintains the niche required for germline stem cell maintenance in the testis, providing the first molecular characterisation of a stem cell niche. Drosophila's streamlined pathway offers a simple model to find new elements and analyse the function of existing ones.

Animals↗
PubMed2006

Comparative whole genome transcriptome analysis of three Plasmodium falciparum strains.

Gene expression patterns have been demonstrated to be highly variable between similar cell types, for example lab strains and wild strains of Saccharomyces cerevisiae cultured under identical growth conditions exhibit a wide range of expression differences. We have used a genome-wide approach to characterize transcriptional differences between strains of Plasmodium falciparum by characterizing the transcriptome of the 48 h intraerythrocytic developmental cycle (IDC) for two strains, 3D7 and Dd2 and compared these results to our prior work using the HB3 strain. These three strains originate from geographically diverse locations and possess distinct drug sensitivity phenotypes. Our goal was to identify transcriptional differences related to phenotypic properties of these strains including immune evasion and drug sensitivity. We find that the highly streamlined transcriptome is remarkably well conserved among all three strains, and differences in gene expression occur mainly in genes coding for surface antigens involved in parasite-host interactions. Our analysis also detects several transcripts that are unique to individual strains as well as identifying large chromosomal deletions and highly polymorphic regions across strains. The majority of these genes are uncharacterized and have no homology to other species. These tractable transcriptional differences provide important phenotypes for these otherwise highly related strains of Plasmodium.

Animals↗
PubMed2005

Recombinant expression and anti-microbial activity of anti-lipopolysaccharide factor (ALF) from the black tiger shrimp Penaeus monodon.

Anti-lipopolysaccharide factors (ALFs), originally characterized from horseshoe crabs, have been recently identified from hemocytes of the black tiger shrimp, Penaeus monodon, by a genomic approach. In order to characterize the properties and biological activities of this immune effector in shrimp, ALFPm3, the most abundant isoform found in P. monodon, was expressed in the yeast Pichia pastoris. Large-scale production in fermentor provided 262 mg/l of recombinant ALFPm3 which was purified to homogeneity by single chromatography step on expanded-bed Streamline SP6XL. The rALFPm3 was further characterized in terms of N-terminal sequencing and mass spectrometry. Anti-microbial assays demonstrated that rALFPm3 has a broad spectrum of anti-fungal properties against filamentous fungi, and anti-bacterial activities against both Gram-positive and Gram-negative bacteria, associated with a bactericidal effect. Interestingly, rALFPm3 is highly efficient against various Vibrio species including strains pathogenic for shrimp. Finally, a synthetic peptide corresponding to a part of the putative LPS-binding site of ALFPm3 was shown to display activities mainly directed against Gram-positive bacteria indicating the involvement of the full molecule to the anti-microbial activity for Gram-negative bacteria.

Amino Acid Sequence↗
PubMed2025

Triage and workflow optimization with artificial intelligence in pediatric imaging.

Artificial intelligence (AI) is being increasingly utilized in various aspects by the radiology department. With an ever-increasing burden on the healthcare system, particularly in emergency units, the need to incorporate AI in patient triage and workflow optimization cannot be overstated. Machine learning (ML)-based algorithms form the core of AI-based software, aiding healthcare professionals at nearly every step in delivering appropriate patient care. Regarding the radiology section of the hospital, AI-based algorithms have proven exceptionally useful in assisting radiologists and technicians with image acquisition. From accurate clinical referrals to scheduling computed tomography/magnetic resonance imaging scan appointments, from ensuring the lowest radiation exposure to offering timely follow-up reminders, ML-based software has indeed revolutionized the concept of modern image acquisition, especially in the pediatric radiology section. Although the implementation of these algorithms is swift, several technical challenges and the limited availability of pediatric datasets preclude their widespread use. The utility of multimodal pediatric datasets, which combine imaging, genomics, and clinical data, for comprehensive AI triage models can help AI systems evolve toward greater adaptability and integration, resulting in enhanced efficiency, reduced turnaround times, and improved patient outcomes in pediatric radiology departments in the future. In this article, we highlight and review the utility of AI and machine learning-based algorithms in efficiently aiding triage and streamlining the workflow in the pediatric radiology section, thereby ensuring an overall improvement in the departmental workflow.

Triage↗
PubMed2026

Development of a new recombineering system for Edwardsiella species.

Edwardsiella species are important aquaculture pathogens that also cause opportunistic infections in humans, necessitating efficient genome editing tools to study their pathogenesis and develop control strategies. In this study, we identified and characterized six endogenous recombinases pairs from Edwardsiella and its phages. Among these, the BAS_MS17 system exhibited the highest recombination efficiency in E. piscicida EIB202Δp. Extending homology arms from 150 bp to 200 bp improved editing efficiency by 2-fold, while the addition of Redg or Plug further enhanced recombination by 3-fold and 2.5-fold, respectively, without compromising accuracy (100%). More importantly, when applied to E. piscicida sdu12S, Redg or Plug improved the editing efficiency by 8-fold and 7-fold, respectively. Deletion of the phage-derived single-strand binding protein (SSB) reduced efficiency to 25% of the BAS_MS17 level, whereas expression of the endogenous RecA-family SSB (rSSB) increased recombinant yield by 5-fold, highlighting functional conservation. Furthermore, SSB proteins from heterologous hosts failed to enhance recombination efficiency. Using the optimized system, we successfully knocked out ten distinct genes, including virulence-associated loci, with editing accuracy exceeding 85%. Phenotypic analysis revealed that luxR, but not the other tested genes, contributes to biofilm formation. Virulence evaluation results showed that aroA, fur, and hfq are critical virulence-associated factors. Collectively, this streamlined recombineering system provides a simple, rapid, and efficient genetic tool for Edwardsiella, supporting mechanistic studies of virulence and the development of live attenuated vaccine candidates.

Edwardsiella piscicida↗
PubMed2006

Facile detection of acyl and peptidyl intermediates on thiotemplate carrier domains via phosphopantetheinyl elimination reactions during tandem mass spectrometry.

With the emergence of drug resistance and the genomic revolution, there has been a renewed interest in the genes that are responsible for the generation of bioactive natural products. Secondary metabolites of one major class are biosynthesized at one or more sites by ultralarge enzymes that carry covalent intermediates on phosphopantetheine arms. Because such intermediates are difficult to characterize in vitro, we have developed a new approach for streamlined detection of substrates, intermediates, and products attached to a phosphopantetheinyl arm of the carrier site. During vibrational activation of gas-phase carrier domains, facile elimination occurs in benchtop and Fourier-transform mass spectrometers alike. Phosphopantetheinyl ejections quickly reduce >100 kDa megaenzymes to <1000 Da ions for structural assignment of intermediates at <0.007 Da mass accuracy without proteolytic digestion. This "top down" approach quickly illuminated diverse acyl intermediates on the carrier domains of the nonribosomal peptide synthetases (NRPSs) or polyketide synthases (PKSs) found in the biosynthetic pathways of prodigiosin, pyoluteorin, mycosubtilin, nikkomycin, enterobactin, gramicidin, and several proteins from the orphan pksX gene cluster from Bacillus subtilis. By focusing on just those regions undergoing covalent chemistry, the method delivered clean proof for the reversible dehydration of hydroxymethylglutaryl-S-PksL via incorporation of 2H or 18O from the buffer. The facile nature of this revised assay will allow diverse laboratories to spearhead their NRPS-PKS projects with benchtop mass spectrometers.

Acylation↗
PubMed2026

An Update on Selected Giant Cell-Rich Tumors of Soft Tissue.

Giant cell-rich tumors of soft tissue present a significant diagnostic challenge due to pronounced morphological overlap, particularly in limited tissue samples. This review provides a streamlined update on the clinicopathological and molecular features of nine distinct entities: nodular fasciitis, juvenile xanthogranuloma, phosphaturic mesenchymal tumor, tenosynovial giant cell tumor, giant cell fibroblastoma, giant cell-rich solitary fibrous tumor, giant cell tumor of soft tissue, keratin-positive giant cell-rich tumor, and undifferentiated pleomorphic sarcoma. While these neoplasms are unified by a prominence of multinucleated giant cells, recent genomic insights have identified signature, diagnostically defining molecular drivers. We highlight characteristic gene fusions, including USP6, NTRK1, FN1, CSF1, COL1A1-PDGFB, NAB2-STAT6, and HMGA2-NCOR2, as well as entities characterized by non-recurrent or highly complex genomic alterations. Synthesizing these data, this review underscores the critical role of advanced molecular testing in resolving diagnostic ambiguities, refining tumor classification, and guiding targeted therapeutic strategies.

Humans↗
PubMed2006

angaGEDUCI: Anopheles gambiae gene expression database with integrated comparative algorithms for identifying conserved DNA motifs in promoter sequences.

BACKGROUND: The completed sequence of the Anopheles gambiae genome has enabled genome-wide analyses of gene expression and regulation in this principal vector of human malaria. These investigations have created a demand for efficient methods of cataloguing and analyzing the large quantities of data that have been produced. The organization of genome-wide data into one unified database makes possible the efficient identification of spatial and temporal patterns of gene expression, and by pairing these findings with comparative algorithms, may offer a tool to gain insight into the molecular mechanisms that regulate these expression patterns. DESCRIPTION: We provide a publicly-accessible database and integrated data-mining tool, angaGEDUCI, that unifies 1) stage- and tissue-specific microarray analyses of gene expression in An. gambiae at different developmental stages and temporal separations following a bloodmeal, 2) functional gene annotation, 3) genomic sequence data, and 4) promoter sequence comparison algorithms. The database can be used to study genes expressed in particular stages, tissues, and patterns of interest, and to identify conserved promoter sequence motifs that may play a role in the regulation of such expression. The database is accessible from the address http://www.angaged.bio.uci.edu. CONCLUSION: By combining gene expression, function, and sequence data with integrated sequence comparison algorithms, angaGEDUCI streamlines spatial and temporal pattern-finding and produces a straightforward means of developing predictions and designing experiments to assess how gene expression may be controlled at the molecular level.

Algorithms↗
PubMed2006

Avian influenza: preparing for a pandemic.

Avian influenza A (H5N1) first emerged as a global public health threat in 1997 when it caused a major human outbreak in Hong Kong. Endemic in waterfowl and highly virulent in poultry, H5N1 is capable of incidentally infecting humans and other mammals. Although H5N1 is not yet capable of efficient human-to-human transmission, the protean nature of its genome could transform it into the source of the next human influenza pandemic. In the spring of 2006, migrating birds spread the virus from Asia to Europe and Africa. Preparing for a new influenza pandemic involves increasing global influenza surveillance and developing practical strategies for containing outbreaks at the source. Prompt case recognition, isolation, and treatment will be crucial for disease control. Pharmacologic interventions will focus on streamlining the production of vaccine, extending vaccine supplies, stockpiling antiviral drugs such as oseltamivir, and distributing these agents in a timely manner to persons who have the most need. Nonpharmacologic measures will include the use of masks, social distancing, quarantine, travel restrictions, and increasing the emergency capacity of health care systems.

Animals↗
PubMed2003

JXP4BIGI: a generalized, Java XML-based approach for biological information gathering and integration.

MOTIVATION: In the post-genomic era, biologists interested in systems biology often need to import data from public databases and construct their own system-specific or subject-oriented databases to support their complex analysis and knowledge discovery. To facilitate the analysis and data processing, customized and centralized databases are often created by extracting and integrating heterogeneous data retrieved from public databases. A generalized methodology for accessing, extracting, transforming and integrating the heterogeneous data is needed. RESULTS: This paper presents a new data integration approach named JXP4BIGI (Java XML Page for Biological Information Gathering and Integration). The approach provides a system-independent framework, which generalizes and streamlines the steps of accessing, extracting, transforming and integrating the data retrieved from heterogeneous data sources to build a customized data warehouse. It allows the data integrator of a biological database to define the desired bio-entities in XML templates (or Java XML pages), and use embedded extended SQL statements to extract structured, semi-structured and unstructured data from public databases. By running the templates in the JXP4BIGI framework and using a number of generalized wrappers, the required data from public databases can be efficiently extracted and integrated to construct the bio-entities in the XML format without having to hard-code the extraction logics for different data sources. The constructed XML bio-entities can then be imported into either a relational database system or a native XML database system to build a biological data warehouse. AVAILABILITY: JXP4BIGI has been integrated and tested in conjunction with the IKBAR system (http://www.ikbar.org/) in two integration efforts to collect and integrate data for about 200 human genes related to cell death from HUGO, Ensembl, and SWISS-PROT (Bairoch and Apweiler, 2000), and about 700 Drosophila genes from FlyBase (FlyBase Consortium, 2002). The integrated data has been used in comparative genomic analysis of x-ray induced cell death. Also, as explained later, JXP4BIGI is a middleware and framework to be integrated with biological database applications, and cannot run as a stand-alone software for end users. For demonstration purposes, a demonstration version is accessible at (http://www.ikbar.org/jxp4bigi/demo.html).

Database Management Systems↗
PubMed2026

DeeDeeExperiment: building an infrastructure for integrating and managing omics data analysis results in R/Bioconductor.

SUMMARY: Modern omics experiments now involve multiple conditions and complex designs, producing an increasingly large set of differential expression and functional enrichment analysis results. However, no standardized data structure exists to store and contextualize these results together with their metadata, leaving researchers with an unmanageable and potentially non-reproducible collection of results that are difficult to navigate and/or share. Here we introduce DeeDeeExperiment, a new S4 class for managing and storing omics data analysis results, implemented within the Bioconductor ecosystem, which promotes interoperability, reproducibility and good documentation. This class extends the widely used SingleCellExperiment object by introducing dedicated slots for Differential Expression (DEA) and Functional Enrichment Analysis (FEA) results, allowing users to organize, store, and retrieve information on multiple contrasts and associated metadata within a single data object, ultimately streamlining the management and interpretation of many omics datasets. AVAILABILITY AND IMPLEMENTATION: DeeDeeExperiment is available on Bioconductor under the MIT license (https://bioconductor.org/packages/DeeDeeExperiment), with its development version also available on Github (https://github.com/imbeimainz/DeeDeeExperiment).

Software↗
PubMed1990

Modifications to improve the effectiveness of restriction fragment length polymorphism typing.

A streamlined and effective method for RFLP analysis of DNA has been developed. Southern transfers are accomplished by alkali blotting DNA onto positively charged nylon membranes. The prehybridization step has been eliminated. The hybridization solution is composed of three cost-effective reagents: 7% SDS, 10% PEG, and phosphate buffer. By using probes that hybridize to variable number of tandem repeat loci, and RFLP analysis of one to two micrograms of genomic DNA can be achieved within five working days under normal working hours. With longer autoradiographic exposures, as little as 20-100 ng of human genomic DNA is sufficient for analysis.

Buffers↗