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At least 145 records · Page 8Linked to original sources
PubMed2006

CoMoDis: composite motif discovery in mammalian genomes.

Specificity of mammalian gene regulatory regions is achieved to a large extent through the combinatorial binding of sets of transcription factors to distinct binding sites, discrete combinations of which are often referred to as regulatory modules. Identification and subsequent characterization of gene regulatory modules will be a key step in assembling transcriptional regulatory networks from gene expression profiling data, with the ultimate goal of unravelling the regulatory codes that govern gene expression in various cell types. Here we describe the new bioinformatics tool, Composite Motif Discovery (CoMoDis), which streamlines computational identification of novel regulatory modules starting from a single seed motif. Seed motifs represent binding sites conserved across mammalian species. CoMoDis facilitates novel motif discovery by automating the extraction of DNA sequences flanking seed motifs and streamlining downstream motif discovery using a variety of tools, including several that utilize phylogenetic conservation criteria. CoMoDis is available at http://hscl.cimr.cam.ac.uk/CoMoDis_portal.html.

Animals↗
PubMed2006

Autophagy and related processes in trypanosomatids: insights from genomic and bioinformatic analyses.

The targeting in eukaryotic cells of cellular components to the lysosome or vacuole for degradation is called autophagy. Not only cytoplasmic macromolecules and bulk cytoplasm are subject to this process; entire organelles such as peroxisomes can be degraded. Autophagy of peroxisomes is called pexophagy. Unpublished evidence suggests that the analogous processing of glycosomes in the protozoan kinetoplastids occurs. Taking advantage of the (near-) complete status of three trypanosomatid genomes, a census of components of autophagy and related processes has been undertaken in these organisms. Simple database searches were supplemented by more advanced analyses where necessary. At most, only half of the components characterized in yeasts are present in trypanosomatids suggesting an unexpectedly streamlined version of autophagy occurs in these organisms. The cytoplasm-to-vacuole targeting (Cvt) system for delivery of proteins to the vacuole seems entirely absent in trypanosomatids. The accuracy of the census is supported by the coordinated absence of functionally linked components such as the conjugation system involving ATG12, ATG5, ATG10 and ATG16 that acts at the step of vesicle expansion and completion. Overall, the results are consistent with a scenario of taxon-specific addition of components to a minimal core, a hypothesis that should be readily testable by further genomic surveys allied to laboratory experiments. A bioinformatics analysis of the trypanosomatidal proteins was carried out, highlighting the paucity of information available regarding their structures and enabling prioritization of targets for future structural biology work.

Animals↗
PubMed2026

Next-Generation Disease Profiling by Integrating Histopathology with Spatial Multi-Omics Data.

The field of pathology has experienced several transformative changes in recent years with the advent of digital pathology and spatial multi-omics. These technologies have enhanced every aspect of pathology practice, from streamlining daily workflows to generating high-fidelity multi-omics data that provide pathologists with novel tools to refine disease profiling and clinical diagnosis. Each layer of multimodal data (genomic, metabolomic, proteomic, or transcriptomic) has uncovered a distinct facet of disease pathologies, and combined with machine learning/artificial intelligence-based data analysis and pattern recognition models, has provided holistic understanding of regulatory mechanisms underpinning them. However, high-dimensional data have far exceeded the volume, scale, and complexity of immunostaining methods implemented by pathologists and, thus, have generated significant challenges related to deconvolution, interpretation, and clinical translation. Furthermore, these multimodal studies have predominantly relied on computational methods to process data and extract disease-relevant insights, thus raising questions around relevance or role of a pathologist in this new era of multi-omics. This review will provide a perspective on the evolving fields of molecular histopathology and spatial -omics, leveraging them to approach disease profiling, and redefining the role of a pathologist during this process.

Humans↗
PubMedDate not supplied

Ecotoxicogenomics: linkages between exposure and effects in assessing risks of aquatic contaminants to fish.

Understanding the biological effects of exposures to chemicals in the environment relies on classical methods and emerging technologies in the areas of genomics, proteomics, and metabonomics. Linkages between the historical and newer toxicological tools are currently being developed in order to predict and assess risk. Being able to classify chemicals and other stressors based on effects they have at the molecular, tissue, and organismal levels helps define a systems biology approach to development of streamlined, cost-effective, and comprehensive testing approaches for evaluating environmental hazards. The challenges of the individual technologies and the combinations of tools for ecotoxicogenomics are discussed in application to aquatic toxicology with a particular emphasis on fish testing.

Animals↗
PubMed2006

Niche metabolism in parasitic protozoa.

Complete or partial genome sequences have recently become available for several medically and evolutionarily important parasitic protozoa. Through the application of bioinformatics complete metabolic repertoires for these parasites can be predicted. For experimentally intractable parasites insight provided by metabolic maps generated in silico has been startling. At its more extreme end, such bioinformatics reckoning facilitated the discovery in some parasites of mitochondria remodelled beyond previous recognition, and the identification of a non-photosynthetic chloroplast relic in malarial parasites. However, for experimentally tractable parasites, mapping of the general metabolic terrain is only a first step in understanding how the parasite modulates its streamlined, yet still often puzzlingly complex, metabolism in order to complete life cycles within host, vector, or environment. This review provides a comparative overview and discussion of metabolic strategies used by several different parasitic protozoa in order to subvert and survive host defences, and illustrates how genomic data contribute to the elucidation of parasite metabolism.

Animals↗
PubMed2000

Current state of automated crystallographic data analysis.

A goal of structural biology--and of structural genomics in particular--is to improve the underlying methodology for high-throughput determination of three-dimensional structures of biological macromolecules. Here we address issues related to the development, automation and streamlining of the process of macromolecular X-ray crystal structure solution.

Automation↗
PubMed2004

PathoGene: a pathogen coding sequence discovery and analysis resource.

PathoGene is a web-based resource that streamlines the process of predicting genes in microorganisms and designs PCR primers for amplification to facilitate sequence analysis and experimentation. PathoGene currently supports primer design for every complete microbial, viral, and fungal genome as cataloged in GenBank by the National Center for Biotechnology Information (NCBI; http://www.ncbi.nlm.nih.gov/). The resulting primers can then be subjected to a stand-alone Basic Local Alignment Search Tool (BLAST) system called PathoBLAST in which the predicted PCR product and/or primers can be compared against the genome of interest or a similar genome to find related genes or estimate primer quality.

Bacillus anthracis↗
PubMed2025

Turbo-charging crop improvement: harnessing multiplex editing for polygenic trait engineering and beyond.

Multiplex CRISPR editing has emerged as a transformative platform for plant genome engineering, enabling the simultaneous targeting of multiple genes, regulatory elements, or chromosomal regions. This approach is effective for dissecting gene family functions, addressing genetic redundancy, engineering polygenic traits, and accelerating trait stacking and de novo domestication. Its applications now extend beyond standard gene knockouts to include epigenetic and transcriptional regulation, chromosomal engineering, and transgene-free editing. These capabilities are advancing crop improvement not only in annual species but also in more complex systems such as polyploids, undomesticated wild relatives, and species with long generation times. At the same time, multiplex editing presents technical challenges, including complex construct design and the need for robust, scalable mutation detection. We discuss current toolkits and recent innovations in vector architecture, such as promoter and scaffold engineering, that streamline workflows and enhance editing efficiency. High-throughput sequencing technologies, including long-read platforms, are improving the resolution of complex editing outcomes such as structural rearrangements-often missed by standard genotyping-when targeting repetitive or tandemly spaced loci. To fully realize the potential of multiplex genome engineering, there is growing demand for user-friendly, synthetic biology-compatible, and scalable computational workflows for gRNA design, construct assembly, and mutation analysis. Experimentally validated inducible or tissue-specific promoters are also highly desirable for achieving spatiotemporal control. As these tools continue to evolve, multiplex CRISPR editing is poised to become a foundational technology of next-generation crop improvement to address challenges in agriculture, sustainability, and climate resilience.

Gene Editing↗
PubMed2002

mtLOH (mitochondrial loss of heteroplasmy), aging, and 'surrogate self'.

In tribute to Dr Strehler, an attempt is made to use a style of reasoning found in some of his later papers as an outline of this article. First, general arguments in favor of the involvement of somatic mutations in mtDNA in the aging process are presented. Second, evidence is provided in support of a general tendency of mitochondrial genomes to reach homoplasmic state at the cellular level, for which we propose the term mitochondrial loss of heteroplasmy (mtLOH). This process is likely to facilitate the involvement of mtDNA mutations in the aging process by streamlining the phenotypic expression of the mutant genotype. Third, preliminary evidence of the very high incidence of clonal deletions in pigmented neurons of substantia nigra is reported. This observation highlights the possibility that accumulation of mtDNA mutations specific in certain cell types of a complex tissue may account for the involvement of mtDNA mutations in the aging process despite the relatively low average incidence of these mutations in the tissue as a whole. High incidence of mtDNA deletions in pigmented neurons evokes Strehler's idea that efforts to delay aging may not be the most cost-efficient way of preserving 'self awareness and a joyful sense of life', as he put it. A potential alternative suggested by Strehler, i.e. creation of a 'surrogate self' by computer simulation may deserve more attention than it currently enjoys.

Aging↗
PubMed2026

Multiplexed perturbation enables scalable pooled screens.

CRISPR-based genetic perturbation screens have revolutionized the ability to link genes to cellular phenotypes with unprecedented precision and scale; however, conventional pooled CRISPR screens require large cell numbers to achieve adequate sgRNA representation, posing technical and financial challenges. Here, we investigate the impact of co-delivery of multiple guide RNAs via high multiplicity of infection (MOI) in pooled CRISPR interference screens as a strategy to enhance screening efficiency while reducing cell numbers. We systematically evaluate screen performance across varying MOIs, assessing the effects of multiplexing on knockdown efficiency, sgRNA representation and potential interference of multiple sgRNA phenotypes. Our data demonstrate that sgRNA multiplexing (MOI 2.5-10) can maintain screen performance while enabling significant reductions in cell number requirements. We further apply these optimized conditions to conduct a genome-wide CRISPR screen for regulators of the intracellular adhesion molecule ICAM-1, successfully identifying new candidates using as few as half a million cells. This study provides a framework for adopting multiplexed sgRNA strategies to streamline CRISPR screening applications in resource-limited settings.

Humans↗
PubMed1994

A streamlined random sequencing strategy for finding coding exons.

The random (shotgun) DNA sequencing strategy is used for most large-scale sequencing projects, including the identification of human disease genes after positional cloning. The principle of the method--sequence assembly from overlap--requires the candidate gene region to be partitioned into 15- to 20-kb pieces (usually lambda inserts), themselves randomly subcloned into M13 prior to sequencing with a 6- to 8-fold redundancy. Most often, a time-consuming directed strategy must be invoked to close the remaining gaps. Ultimately, computer-based methods are invoked to locate putative coding exons within the finished genomic sequence. Given the small average size of vertebrate exons, I show here that they can be detected from the computer analysis of the individual runs, much before completion of contiguity. However, the successful assessment of coding potential from the raw data depends on a combination of new sequence masking techniques. When the identification of coding exons is the primary goal, the usual random sequencing strategy can thus be greatly optimized. The streamlined approach requires only a 2- to 2.5-fold sequencing redundancy, can dispense with the subcloning in lambda and the closure of gaps, and can be fully automated. The feasibility of this strategy is demonstrated using data from the X-linked Kallmann syndrome gene region.

Amino Acid Sequence↗
PubMed2005

A streamlined method for systematic, high resolution in situ analysis of mRNA distribution in plants.

BACKGROUND: In situ hybridisation can provide cellular, and in some cases sub-cellular, resolution of mRNA levels within multicellular organisms and is widely used to provide spatial and temporal information on gene expression. However, standard protocols are complex and laborious to implement, restricting analysis to one or a few genes at any one time. Whole-mount and reverse transcriptase-PCR (RT-PCR) based protocols increase throughput, but can compromise both specificity and resolution. With the advent of genome-wide analysis of gene expression, there is an urgent need to develop high-throughput in situ methods that also provide high resolution. RESULTS: Here we describe the development of a method for performing high-throughput in situ hybridisations that retains both the high resolution and the specificity of the best manual versions. This refined semi-automated protocol has the potential for determining the spatial and temporal expression patterns of hundreds of genes in parallel on a variety of tissues. We show how tissue sections can be organized on microscope slides in a manner that allows the screening of multiple probes on each slide. Slide handling, hybridisation and processing steps have been streamlined providing a capacity of at least 200 probes per week (depending on the tissue type). The technique can be applied easily to different species and tissue types, and we illustrate this with wheat seed and Arabidopsis floral meristems, siliques and seedlings. CONCLUSION: The approach has the high specificity and high resolution of previous in situ methods while allowing for the analysis of several genes expression patterns in parallel. This method has the potential to provide an analysis of gene expression patterns at the genome level.

Journal Article↗
PubMed2026

Rapid CRISPR-based bovine embryo sexing to streamline genotype-informed cattle breeding.

Cattle in vitro fertilisation and embryo transfer programmes increasingly rely on embryo-level selection to accelerate genetic gain, but current sexing and genotyping workflows can be costly, slow and logistically demanding. This study developed an efficient, low-resource workflow for bovine embryo sexing that combines whole genome amplification (WGA) with recombinase polymerase amplification-CRISPR-Cas12a (RPA-Cas12a). It also assessed whether the same WGA biopsy products could be used for downstream single nucleotide polymorphism (SNP) microarray genotyping. A one-tube RPA-Cas12a assay targeting the bovine Y-chromosome S4 repeat was developed for fluorescence and lateral flow assay (LFA) readouts. Analytical sensitivity was assessed using serially diluted bovine genomic DNA (gDNA), and breed robustness was tested using male and female gDNA from five major beef breeds and Holstein cattle. The workflow was then applied to WGA products from 22 bovine blastocyst biopsies, with sex calls validated against an established real-time PCR melt curve assay and 100K SNP microarray genotyping. The assay detected male bovine gDNA down to 100 pg using both fluorescence and LFA readouts, with no signal from female gDNA. Male-specific detection was consistent across all breeds tested. All WGA-RPA-Cas12a sex calls from blastocyst biopsies were concordant with real-time PCR and SNP microarray sex calls, and WGA biopsy products produced genome-wide SNP call rates above 85%. This workflow provides a practical approach for rapid bovine embryo sex triage and could reduce unnecessary cryopreservation and genotyping while improving the efficiency of genotype-informed cattle breeding programmes.

Bovine embryo↗
PubMed2001

[Clinical trials: prerequisite of evidence-based oncology: reality, perspectives and a new tool recruited--the Internet].

Scientifically sound clinical research is an undispensable prerequisite to establish innovative therapeutic principles, to support applications for marketing authorization of proprietary new drugs, to advance therapeutic results in cancer therapy, and the only route towards an evidence-based clinical oncology at the advent of the 21st century. Treatment of cancer patients based on scientific evidence derived from clinical studies outperforms compassionate individual therapeutic decisions with a lack of evidence, whenever such evidence is available or whenever a clinical trial is addressing the clinical situation that must be addressed for an individual patient. A stable trend towards improved survival of cancer patients was first observed in 1999. The advent of new technologies of drug design, the integration of pharmacology, genomics and DNA microarray chip technologies will produce a myriad of new anticancer drugs with promising potential for cancer therapy that need to be tested in the clinical setting without delay. To match that challenge, clinical oncology must streamline the laborious process of conducting clinical trials. The process of planning, multicenter coordinating, recruiting, treatment, analyzing, and reporting of clinical trial results must be further optimized. The best possible quality control of all steps of that process is a prerequisite to motivate patients to participate in clinical trials of cancer therapy - always one of the most promising treatment options for patients seeking the best possible cancer care. At the same time as the internet goes mainstream and cancer care information is ubiquitously laymanized and dispersed via cancer cybermedicine, clinical researchers may employ the internet to exchange information, facilitate conduction of clinical trials, and facilitate recruitment to clinical studies via web-based trial registries. This will be more than an incremental step forward to deliver the best possible clinical care towards the ultimate goal: to deliver evidence-based medicine en route to a cure for more cancer patients than ever.

Clinical Trials as Topic↗
PubMed2026

Inducible flocculation in Komagataella phaffii enables enhanced biomass separation for biopharmaceutical production.

Biomass separation represents a critical bottleneck in Komagataella phaffii-based biopharmaceutical processes, as typically high cell densities of 40 - 50 % create significant operational, technical and economic challenges for harvest operations. Yeast cell aggregation (flocculation) provides a solution to accelerate cell sedimentation by increasing particle size, thus allowing to improve biomass-supernatant separation efficiency during both natural gravity settling and (continuous) centrifugation operations. This study demonstrates successful engineering of K. phaffii strains with an inducible flocculation phenotype using CRISPR/Cas9-based genome editing to integrate the Saccharomyces cerevisiae FLO1 (ScFLO1) gene under control of various regulatory elements, including methanol-inducible and derepressible promoters. Flocculation strength could be enhanced by implementing transcriptional positive feedback circuits based on the methanol-inducible AOX1 promoter. To address methanol-free production requirements, we developed alternative systems to retrofit PAOX1-based ScFLO1 expression and exploited the derepressible PDF promoter, offering broader compatibility with biopharmaceutical manufacturing facilities. Flocculating cells cultivated in a bioreactor demonstrated significantly improved sedimentation behavior, with considerably lower supernatant turbidity after short low-speed centrifugation or gravity sedimentation compared to non-flocculating controls. Crucially, cell flocculation had no negative impact on product amount and quality when expressing a multivalent NANOBODY® VHH molecule with pharmaceutical relevance. Thus, this work establishes the first genetically engineered flocculation system in K. phaffii compatible with recombinant protein production, providing the basis for an innovative approach to streamline harvest operations in biopharmaceutical processes.

Flocculation↗
PubMed2002

Biotechnology's foreign policy.

From its inception, biotechnology has been a uniquely international enterprise. An American and an Englishman working together elucidated the structure of DNA almost 50 years ago; more recently, the Human Genome Project linked researchers around the world, from the Baylor College of Medicine in Houston to the Beijing Human Genome Center. Today our industry's researchers hail from African villages and Manhattan high rises; from Munich and Melbourne; from London, Ontario, and London, England; from Scotland and Nova Scotia--New Scotland; from Calcutta and Calgary. But in the beginning, the infrastructure that supported these efforts--intellectual property, venture capital, streamlined technology transfer--was less widely dispersed and the world's brightest biotech researchers clustered in only half a dozen scientific Meccas. Previous technological revolutions have spread around the world. Following in their footsteps, biotechnology's global diaspora seems inevitable, especially since governments are promoting it. But as our science and business emigrate from early strongholds in the United States, Canada and Europe across oceans and borders and into new cultures, international tensions over biotechnology continue to grow. In just the last few years, controversies have rolled over R&D spending priorities, genetic patents, bioprospecting, transgenic agriculture and drug pricing. My premise today is that our industry needs to formulate its first foreign policy, one which is cognizant of the miserable judgments and mistakes of other industries--and avoids them.

Biotechnology↗
PubMed2025

Rapid and accurate sepsis diagnostics via a novel probe-based multiplex real-time PCR system.

Sepsis is a critical clinical emergency that requires prompt diagnosis and intervention. Its prevalence has increased due to the aging population and increased antibiotic resistance. Early identification and the use of innovative technologies are crucial for improving patient outcomes. Modern methodologies are needed to minimize the turnaround time for diagnosis and improve outcomes. Rapid diagnostic tests and multiplex PCR are effective but have limitations in identifying a range of pathogens and target genes. Our study evaluated two novel probe-based multiplex real-time PCR systems: the SEPSI ID and SEPSI DR panels. These systems can quickly identify bacterial and fungal pathogens, alongside antibiotic resistance genes. The assays cover 29 microorganisms (gram-negative bacteria, gram-positive bacteria, yeast, and mold species), alongside 23 resistance genes and four virulence factors. A streamlined workflow uses 2 µL of broth from positive blood cultures (BCs) without nucleic acid extraction and provides results in approximately 1 h. We present the results from an evaluation of 228 BCs and 22 isolates previously characterized by whole-genome sequencing. In comparison to the reference methods, the SEPSI ID panel demonstrated a sensitivity of 96.88%, a specificity of 100%, and a PPV of 100%, whereas the SEPSI DR panel showed a sensitivity of 97.8%, a PPV of 89.7%, and a specificity of 96.7%. Both panels also identified additional pathogens and resistance-related targets not detected by conventional methods. This assay shows promise for rapidly and accurately diagnosing sepsis. Future studies should validate its performance in various clinical settings to enhance sepsis management and improve patient outcomes.IMPORTANCEWe present a new diagnostic method that enables the quick and precise identification of pathogens and resistance genes from positive blood cultures, eliminating the need for nucleic acid extraction. This technique can also be used on fresh pathogen cultures. It has the potential to greatly improve treatment protocols, leading to better patient outcomes, more responsible antibiotic use, and more efficient management of healthcare resources.

Humans↗