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PubMed2026

Optimization of protoplast based DNA isolation and genome analysis in a gamma-irradiated Aspergillus niger mutant strain.

Aspergillus niger is an important industrial fungus widely used for citric acid production and a range of biotechnological applications. In this study, a protoplast-based DNA isolation protocol was optimized for a gamma-irradiated A. niger AN-L103_M1 mutant strain, followed by whole-genome sequencing and functional genome analysis. Protoplast yield was strongly influenced by enzyme concentration and the molarity of the osmotic stabilizer. The highest yield was achieved at an enzyme concentration of 50 mg/mL (2.487 ± 0.04 × 10⁸ cells/mL) and 0.8 M KCl (2.550 ± 0.06 × 10⁸ cells/mL), with both factors showing significant effects (p < 0.0001) in GraphPad Prism 11.0.0. Whole-genome sequencing performed using an Illumina NovaSeq 6000 platform yielded a 37.06 Mb draft genome assembled into 537 contigs, with an N50 of 363,084 bp and a GC content of 48.2%. BUSCO 14 analysis showed high completeness (97.95% complete BUSCOs). Functional annotation and KEGG pathway mapping identified genes involved in glycolysis, the tricarboxylic acid cycle, and citrate biosynthesis, while biosynthetic gene cluster analysis revealed diverse potential for secondary metabolite production. These findings provide an optimized workflow for protoplast-based DNA isolation and genome-scale functional analysis in A. niger, proposing a basis for future comparative genomics, transformation studies, and experimentally validated metabolic engineering.

Aspergillus niger↗

PubMed1996

Risk assessment in child protective services: a canonical analysis of the case management function.

This study examined the relationship between levels of risk and the patterns of service intervention in child protective services. A stratified, random sample of 239 cases from the New Jersey Division of Youth and Family Services was examined using canonical correlation techniques. Risk was measured using the Washington Risk Assessment Matrix while case management and service strategies were recorded from case records. Principal results indicate that three distinctive risk profiles operate in the data: older children with behavior problems, children from disadvantaged households, and children with an unemployed parent. Each can be linked to a distinctive service intervention pattern. Implications of these results for workflow management and workload are discussed as well as the implications for future research in the areas of risk assessment and case management.

Adolescent↗

PubMed1996

Managing the operation of open distributed laboratory information systems.

This paper examines how the concepts and designs of workflow management systems and distributed systems management can be integrated and customized to manage open laboratory computing services. The paper outlines the objectives of managing laboratory computing services and identifies techniques and designs which facilitate this management. The paper also outlines the implementation of an open laboratory service management system.

Clinical Laboratory Information Systems↗

PubMed2025

Delivery of genome editors with engineered virus-like particles.

Genome editing technologies have revolutionized biomedical sciences and biotechnology. However, their delivery in vivo remains one of the major obstacles for clinical translation. Here, we introduce various emerging genome editing systems and review different delivery systems have been developed to realize the promise of in vivo gene editing therapies. In particular, we focus on virus-like particles (VLPs), an emerging delivery platform and provide in depth analysis on recent advancements to improve VLPs delivery potential and highlight opportunities for future improvements. To this end, we also provide detail workflows for engineered VLP (eVLP) selection, production, and purification, along with methods for characterization and validation.

Gene Editing↗

PubMed2025

Preparation of high-purity RNPs of CRISPR-based DNA base editors.

Since their introduction, CRISPR-based DNA base editors (BEs) have become essential in the field of precision genome editing, revolutionizing the correction of pathogenic SNPs for both basic research and therapeutic applications. As this technology advances, more laboratories are implementing these tools into their workflow. The delivery of BEs as BE-guide RNA complexes (RNPs), rather than as mRNA or plasmids, has been shown to exhibit lower off-target effects, establishing it as the preferred method of delivery. However, there are no protocols describing in detail how to obtain high-purity and highly active BE RNPs. Here, we offer a comprehensive guide for the expression, purification, RNP reconstitution, and in vitro activity assessment of TadA-based BEs. The protocol includes guidance on performing activity assays using commercial denaturing gels, which is convenient and uses standard molecular biology equipment. This allows for rapid quality control testing of reconstituted BE RNPs prior to more expensive and time-consuming in vivo genome editing experiments. Overall, this protocol aims to empower more laboratories to generate tailored BE RNPs for diverse in vitro and in vivo applications.

Gene Editing↗

PubMed2025

Functional metaproteomics for enzyme discovery.

Discovery of microbial biocatalysts traditionally relied on activity screening of isolated bacterial strains. However, since most microorganisms cannot be cultivated in the lab, such an approach leaves the majority of the microbial enzyme diversity untapped. Metagenomic approaches, in which the DNA from a microbial community is directly isolated and then used either for the creation of an expression library or for sequencing and metagenome annotation have alleviated this shortcoming to an extent, but have their own limitations: the generation of large expression libraries is time-consuming and their screening is costly, while metagenome annotation can infer biocatalytic function only from prior knowledge. We have thus developed a functional metaproteomic approach, which combines the immediacy of traditional activity screening with the comprehensiveness of a meta-omics approach. Briefly, the whole metaproteome of an environmental sample is separated on a 2-D gel, biocatalytically active proteins are visualized in-gel through zymography, and those candidate biocatalysts are then identified through mass spectrometry, searching against a metagenome-derived database obtained from the very same environmental sample. Here we explain the process in detail, with a focus on esterases, and give guidelines on how to develop a functional metaproteomic workflow for enzyme discovery.

Proteomics↗

PubMed2025

Using CRISPR for viral nucleic acid detection.

Pathogenic microorganisms, such as viruses, have threatened human health and will continue to contribute to future epidemics and pandemics, highlighting the importance of developing effective diagnostics. To contain viral outbreaks within populations, fast and early diagnosis of infected individuals is essential. Although current standard methods are highly sensitive and specific, like RT-qPCR, some can have slow turnaround times, which can hinder the prevention of viral transmission. The discovery of CRISPR-Cas systems in bacteria and archaea initially revolutionized the world of genome editing. Intriguingly, CRISPR-Cas enzymes also have the ability to detect nucleic acids with high sensitivity and specificity, which sparked the interest of researchers to also explore their potential in diagnosis of viral pathogens. In particular, the CRISPR-Cas13 system has been used as a tool for detecting viral nucleic acids. Cas13's capability to detect both target RNA and non-specific RNAs has led to the development of detection methods that leverage these characteristics through designing specific detection read-outs. Optimization of viral sample collection, amplification steps and the detection process within the Cas13 detection workflow has resulted in assays with high sensitivity, rapid turnaround times and the capacity for large-scale implementation. This review focuses on the significant innovations of various CRISPR-Cas13-based viral nucleic acid detection methods, comparing their strengths and weaknesses while highlighting Cas13's great potential as a tool for viral diagnostics.

CRISPR-Cas Systems↗

PubMed2025

Experimental strategy for characterization of novel TnpB orthologs.

TnpB proteins encoded in IS200/IS605 and IS607 mobile genetic elements are among the most widespread proteins in the microbial world. They function as RNA-guided DNA nucleases that play a critical role in transposon proliferation and are the predecessors of CRISPR-Cas12 effector proteins of the type V CRISPR-Cas family. Small size of TnpB nucleases makes them an attractive alternative for larger Cas9 and Cas12 proteins in genome editing applications. However, only a small fraction of TnpB nucleases characterized to date are active in human cells, highlighting the need to identify new TnpB variants that can function as genome editors. Here, we present an experimental pipeline for the characterization of TnpB proteins by combining in silico analysis with in vitro assays. To validate it we determined guide RNA and identified TAM for a set of TnpB orthologs. The proposed workflow can be employed for rapid screening and characterization of the huge TnpB protein family to identify novel TnpB variants that might expand the genome editing toolbox.

Humans↗

PubMed2025

Enzymes in high-throughput RNA sequencing: Applications and challenges.

High-throughput RNA sequencing provides genome-wide information on the dynamics of RNA in each cell and how the dynamics responds to environmental changes. Next-generation sequencing by the Illumina platform currently provides the highest information output as compared to other platforms. A key component of next generation sequencing of each RNA is the successful end-to-end reverse-transcription into a cDNA strand. This can be highly challenging given the propensity of each RNA to adopt ordered structures and to contain post-transcriptional modifications. While many reverse transcriptase (RT) enzymes have been developed over the years to maximize read-through of an RNA, their processivity and efficiency varies, raising the question of how to select the RT for the experiment at hand. Here, we use tRNA as a model for genome-wide sequencing, as tRNA has a stable secondary and tertiary structure and has a high density and wide variety of post-transcriptional modifications, presenting one of the most challenging problems of sequencing RNA. We compare the efficiency of end-to-end cDNA synthesis of tRNA among several recent RT enzymes and provide a general sequencing workflow that is applicable to most of these enzymes.

High-Throughput Nucleotide Sequencing↗

PubMed2026

Defining active and repressive chromatin states in neural crest cells using low-input CUT&RUN.

The transition of neural crest cells (NCCs) from a multipotent state to lineage-restricted derivatives, including melanocytes, is governed by tightly regulated epigenetic mechanisms that orchestrate cell type specific gene expression programs. Histone post-translational modifications (PTMs), in particular, play an important role in modulating chromatin accessibility, enhancer activation, and transcription factor occupancy, thereby facilitating dynamic chromatin and transcriptional reprogramming required during development. However, profiling such chromatin states in rare and transient Neural Crest Cell (NCC) populations in vivo remains technically challenging. To address this, we present an optimized low-input Cleavage Under Targets and Release Using Nuclease (CUT&RUN) workflow tailored for fluorescence-activated cell sorting (FACS) isolated NCCs from zebrafish embryos. This approach enables high-resolution and low-background mapping of key histone modifications, including H3K27ac, H3K4me3, and H3K27me3, from limited cell numbers. Collectively, these methodologies provide a robust framework for dissecting chromatin state dynamics in developmental systems and can also offer insights into epigenetic dysregulation associated with disease.

Animals↗

PubMed2006

Methylation-dependent fragment separation: direct detection of DNA methylation by capillary electrophoresis of PCR products from bisulfite-converted genomic DNA.

Fundamental to understanding the role of cytosine (C) methylation in genomic DNA (gDNA) is the need for robust analysis methods to determine the location and degree of this modification. We report a novel method for methylation detection by denaturing capillary electrophoresis (CE) using standard fragment analysis conditions. Bisulfite treatment of gDNA will selectively deaminate C but not 5-methylcytosine (5mC). Amplicons generated from bisulfite-converted gDNA are analyzed immediately after PCR using a 6-carboxy fluorescein (6-FAM) dye-labeled primer. The amplicons from methylated and unmethylated gDNA separate based solely on base composition due to the presence of multiple C versus thymine (T) differences. By direct detection of PCR amplicons following PCR using primers that anneal independent of methylation status, the overall workflow from gDNA sample input to data analysis is relatively simple. Furthermore, the same PCR product is suitable for additional analyses such as direct sequencing, cloning and sequencing, single-base extension, and post-PCR incorporation of a modified dCTP, the latter of which allows resolution of amplicons with as little as a single C/T difference. We show the utility of this novel CE detection assay by analyzing the hypermethylated region of the fragile-X FMR1 locus.

Base Sequence↗

PubMed2004

Management education during radiology residency: development of an educational practice.

The practice of radiology has dramatically increased in complexity, largely due to three broad influences. These include the proliferation of imaging technologies, the economic pressures to limit healthcare costs, and the increasingly intrusive role of third parties (whether payors, regulators, or government) in everyday healthcare transactions. Practicing radiologists have been adapting to these technologic and socioeconomic changes and will continue to do so by managing the quality and scope of their professional services, the workflow of radiology operations, and the economic viability of their practices. It is likely that radiology practices would benefit from the presence of one or more radiologists with managerial training and skills. In this article, it is proposed that management education for radiologists may actually be initiated during residency; the value and the experiences with such an educational practice are described.

Curriculum↗

PubMed2005

Improving outcomes in radiology: bringing computer-based decision support and education to the point of care.

Many computer applications have been developed in radiology and other medical disciplines to help physicians make decisions. Artificial intelligence (AI)--an approach to computer-based manipulation of symbols to simulate human reasoning--forms the basis of many of these systems. This article's goals are to: acquaint the reader with the motivations and opportunities for computer-based medical decision support systems; identify AI techniques and applications in radiology decision making; assess the impact of these technologies; and consider new directions and opportunities for AI in radiology. Among the exciting new directions is the use of AI to integrate radiology reporting, online decision support, and just-in-time learning to provide useful information and continuing education that is embedded within a radiologist's daily workflow.

Decision Making, Computer-Assisted↗

PubMed2005

Enterprise-wide PACS: beyond radiology, an architecture to manage all medical images.

RATIONALE AND OBJECTIVES: Picture archiving and communication systems (PACS) have the vocation to manage all medical images acquired within the hospital. To address the various situations encountered in the imaging specialties, the traditional architecture used for the radiology department has to evolve. MATERIALS AND METHODS: We present our preliminarily results toward an enterprise-wide PACS intended to support all kind of image production in medicine, from biomolecular images to whole-body pictures. Our solution is based on an existing radiologic PACS system from which images are distributed through an electronic patient record to all care facilities. This platform is enriched with a flexible integration framework supporting digital image communication in medicine (DICOM) and DICOM-XML formats. In addition, a generic workflow engine highly customizable is used to drive work processes. RESULTS: Echocardiology; hematology; ear, nose, and throat; and dermatology, including wounds, follow-up is the first implemented extensions outside of radiology. CONCLUSION: We also propose a global strategy for further developments based on three possible architectures for an enterprise-wide PACS.

Cardiology↗

PubMed2006

Radiologists' reading times using PACS and using films: one practice's experience.

RATIONALE AND OBJECTIVES: To measure the change in radiologists' productivity in terms of interpretation time per examination when using picture archiving and communication system (PACS) workstations in a particular private practice, Valley Radiologists, Ltd, as part of a feasibility study and subsequent business plan to implement a digital enterprise. MATERIALS AND METHODS: Time to process a series of exams was measured for 18 radiologists during an uninterrupted period of a working day. Radiologists in the practice served in multiple locations. The data were analyzed in aggregate and by modality (plain film, ultrasound, computed tomography, and magnetic resonance imaging). Average time per exam, with and without PACS, was measured for each modality. Regression analysis was used to determine the independent effect of PACS on radiologist productivity. RESULTS: The mean time to process an exam was 1.4 minutes (SE = 0.04) for plain film, 1.96 minutes (SE = 0.14) for ultrasound, 5.08 minutes (SE = 0.44) for computed tomography, and 6.83 minutes (SE = 0.31) for magnetic resonance imaging. Regression results indicate that PACS had no effect on the time taken to read a series of exams. CONCLUSIONS: When considering a PACS purchase or implementation, decrease in radiologists' time to process an examination may not be realized. In this specific practice setting, we did not find evidence that PACS workstations alone, without any other changes in workflow design, improved radiologists' interpretation time.

Database Management Systems↗

PubMed2026

CanVar-UK: A collaborative platform for germline interpretation in cancer susceptibility genes.

Germline variants in cancer susceptibility genes (CSGs) are typically inherited rather than arising de novo. Hence, wide cascade testing of families across geographies is common, meaning consistency in variant classification is particularly critical. Variant interpretation requires collation of variant-level data from diverse sources, as well as assembly of comprehensive clinical data, often necessitating sharing of information between genomic testing centers. Here, we describe CanVar-UK, a freely accessible web platform bespoke designed to support interpretation of germline CSG variants. CanVar-UK contains variant-level data for over 1.1 million single-nucleotide variants (SNVs), comprising all possible coding SNVs in 116 established CSGs. The data sources with which variants are annotated include in silico scores from 11 clinically relevant tools, population allele frequencies from gnomAD v4.1, case counts from multiple cohorts, including National Health Service (NHS) clinical laboratory testing, variant-level readouts from 47 selected functional and splicing datasets across 19 CSGs, genetic epidemiology studies, and live linkage to existing consensus classifications in the ClinVar database. The diagnostic discussion forum is only available to registered diagnostic scientist users. Through this, a variant-tagged email message can be dispatched in real time across the diagnostic forum community of >1,500 users, with all exchanges and classifications captured and stored in the platform. Already widely used by NHS diagnostic clinical scientists in the UK, CanVar-UK has a rapidly growing international diagnostic user base (>800 UK and >600 non-UK registered users). Survey of the NHS diagnostic user community illustrates the wide-ranging utility of CanVar-UK within their clinical workflows for interpretation of germline CSG variants.

Journal Article↗

PubMed2006

Improving Papanicolaou test quality and reducing medical errors by using Toyota production system methods.

OBJECTIVE: The objective of the study was to determine whether the Toyota production system process improves Papanicolaou test quality and patient safety. STUDY DESIGN: An 8-month nonconcurrent cohort study that included 464 case and 639 control women who had a Papanicolaou test was performed. Office workflow was redesigned using Toyota production system methods by introducing a 1-by-1 continuous flow process. We measured the frequency of Papanicolaou tests without a transformation zone component, follow-up and Bethesda System diagnostic frequency of atypical squamous cells of undetermined significance, and diagnostic error frequency. RESULTS: After the intervention, the percentage of Papanicolaou tests lacking a transformation zone component decreased from 9.9% to 4.7% (P = .001). The percentage of Papanicolaou tests with a diagnosis of atypical squamous cells of undetermined significance decreased from 7.8% to 3.9% (P = .007). The frequency of error per correlating cytologic-histologic specimen pair decreased from 9.52% to 7.84%. CONCLUSIONS: The introduction of the Toyota production system process resulted in improved Papanicolaou test quality.

Case-Control Studies↗

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↗