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VINE-seq and MultiVINE-seq for single-nucleus and multiome profiling of the brain vasculature.

The human cerebrovasculature is a critical yet historically understudied component of neurological health. Dysfunction of the diverse endothelial, mural, and perivascular cells that comprise cerebral vessels is central to diseases ranging from stroke to Alzheimer's disease. However, characterizing these cell populations at a molecular level has proven exceptionally challenging. Encased within a robust basement membrane, vascular cells resist standard dissociation methods, leading to their systematic depletion and underrepresentation in existing single-nucleus genomic atlases. This has created a major blind spot in neuroscience. To overcome this barrier, we developed vessel isolation and nucleus extraction for sequencing (VINE-seq) and its advanced iteration, MultiVINE-seq. The protocol provides a robust, reproducible workflow for the enrichment and high-resolution profiling of vascular, perivascular, and immune cells from fresh or frozen human and mouse brain tissue. First, intact vessels (predominantly capillaries and small arterioles/venules, 100 µm in diameter) are isolated from homogenized brain tissue via dextran-based density-gradient centrifugation, separating the vascular pellet from myelin and the parenchymal fraction. Second, the collected vessels are rigorously washed over a cell strainer to remove trapped contaminants. A critical innovation lies in the third stage: the optimized extraction of nuclei from purified vessels using enzymatic digestion. After extraction, the protocol uses fluorescence-activated cell sorting (FACS) to ensure collection of high-purity nuclei suitable for widely used droplet-based sequencing platforms (e.g., 10x Genomics single cell 3' or multiome). This protocol requires 4-5 h to complete and can be carried out by researchers with single-cell and flow cytometry training.

Journal Article↗

Whole-Genome Sequencing of 54 Dengchuan Cattle (Bos taurus) from Southwest China.

Domestic cattle (Bos taurus) play a significant role in human society as they provide abundant food resources and contribute to the development of agriculture and traditional culture. Dengchuan cattle, a local breed from Yunnan, Southwest China, are known for their high-quality milk and are at risk of extinction due to crossbreeding. To preserve the superior genetic resources of Dengchuan cattle, this study conducted whole-genome sequencing of 54 Dengchuan cattle using blood DNA samples, generating approximately 3.56 TB of clean data with an average sequencing depth of 32.78X. The sequencing data were aligned to the bovine reference genome (ARS-UCD2.0), achieving an average alignment rate of 99.85%. A total of 9,950,420 SNPs and 2,476,207 indels were detected using variant calling workflow. These data were utilized to characterize genomic profile of this unique cattle breed. The data generated in this study can be incorporated into the global cattle genomic diversity database, providing valuable information for comparative studies on cattle.

Animals↗

DeepPlaque: a scalable multimodal platform for Aβ pathology and cell analysis in Alzheimer's disease.

Histological analysis is essential for understanding disease pathology and the microenvironment, particularly in Alzheimer's disease (AD), characterized by beta-amyloid (Aβ) plaques that exist as diffuse, fibrillar, and core species, with distinct toxicity levels. However, accurate classification of Aβ plaque types in postmortem brain tissues and profiling of surrounding cells present significant challenges. To address these challenges, we developed "DeepPlaque", an integrated system featuring "PlaqueNet", a deep learning model for automated classification of Aβ plaque species from diverse imaging platforms. DeepPlaque includes automated workflows for cellular phenotyping and proteomic profiling through targeted laser microdissection. PlaqueNet achieves expert-level accuracy (AUC > 90%) in classifying the 3 major Aβ plaque species, supporting consistent and large-scale annotation. By integrating spatial cellular phenotyping with laser microdissection, DeepPlaque enables high-throughput proteomic analysis of Aβ plaque niches, revealing that microglia are more abundant around core and fibrillar Aβ plaques, with increased expression of apolipoprotein E and amyloid precursor protein in core Aβ plaques. This customizable platform enhances the molecular and cellular characterization of Aβ plaque-associated environments, providing critical insights into AD pathology.

Alzheimer Disease↗

Urinary multi-omics reveal non-invasive diagnostic biomarkers in clear cell renal cell carcinoma.

Clear cell renal cell carcinoma (ccRCC) is the most common kidney malignancy. Yet, no rapid, non-invasive biomarkers are available for diagnosis or screening. Urine represents an ideal analyte matrix due to its accessibility, low invasiveness, longitudinal sampling, and the kidney's central role in filtration. Here, we integrated proteomic, lipidomic, and metabolomic analyses of urine from ccRCC patients and controls to identify diagnostic biomarkers. Multi-omics profiling revealed urogenital metabolic dysregulation in ccRCC, including increased lipid metabolism, altered mitochondrial respiration signatures, and elevated urinary lipid content. We identified three urinary protein biomarkers: serum amyloid A1 (SAA1), haptoglobin (HP), and lipocalin 15 (LCN15). Using a parallel reaction monitoring mass spectrometry workflow, we developed a rapid and sensitive assay and combined these markers into a diagnostic UrineScore. The UrineScore achieved 0.96 in an area under the receiver operating characteristic curve analysis in the discovery cohort, and 0.95 in an independent validation cohort. Together, these results support the feasibility of multi-omics-guided urinary biomarker discovery and represent a step toward accessible diagnostic platforms for ccRCC.

Humans↗

Fragment screening: an introduction.

There are clearly many different philosophies associated with adapting fragment screening into mainstream Drug Discovery Lead Generation strategies. Scientists at Astex, for instance, focus entirely on strategies involving use of X-ray crystallography and NMR. However, AstraZeneca uses a number of different fragment screening strategies. One approach is to screen a 2000 compound fragment set (with close to "lead-like" complexity) at 100 microM in parallel with every HTS such that the data are obtained on the entire screening collection at 10 microM plus the extra samples at 100 microM; this provides valuable compound potency data in a concentration range that is usually unexplored. The fragments are then screen-specific "privileged structures" that can be searched for in the rest of the HTS output and other databases as well as having synthesis follow-up. A typical workflow for a fragment screen within AstraZeneca is shown below (Figure 24) and highlights the desirability (particularly when screening >100 microM) for NMR and X-ray information to validate weak hits and give information on how to optimise them. In this chapter, we have provided an introduction to the theoretical and practical issues associated with the use of fragment methods and lead-likeness. Fragment-based approaches are still in an early stage of development and are just one of many interrelated techniques that are now used to identify novel lead compounds for drug development. Fragment based screening has some advantages, but like every other drug hunting strategy will not be universally applicable. There are in particular some practical challenges associated with fragment screening that relate to the generally lower level of potency that such compounds initially possess. Considerable synthetic effort has to be applied for post-fragment screening to build the sort of potency that would be expected to be found from a traditional HTS. However, if there are no low-hanging fruit in a screening collection to be found by HTS then the use of fragment screening can help find novelty that may lead to a target not being discarded as intractable. As such, the approach offers some significant advantages by providing less complex molecules, which may have better potential for novel drug optimisation and by enabling new chemical space to be more effectively explored. Many literature examples that cover examples of fragment screening approaches are still at the "proof of concept" stage and although delivering inhibitors or ligands, may still prove to be unsuitable when further ADMET and toxicity profiling is done. The next few years should see a maturing of the area, and as our understanding of how the concepts can be best applied, there are likely to be many more examples of attractive, small molecule hits, leads and candidate drugs derived from the approaches described.

Combinatorial Chemistry Techniques↗

From sequence space to ecological function: microbiome-derived antimicrobial peptides as community effectors and therapeutic leads.

Antimicrobial peptide research has long centred on host defence molecules, yet microbiomes themselves encode a diverse and increasingly important repertoire of peptide-based antimicrobials. These microbiome-derived antimicrobial peptides include bacteriocins, ribosomally synthesised and post-translationally modified peptides, cryptic short open reading frame-encoded peptides, embedded antimicrobial regions within larger proteins, and selected peptide antibiotics recovered from human, animal, plant and environmental microbiomes. Recent advances in genome mining, metagenomics, and machine learning have greatly expanded the scale of discovery, moving the field from a handful of landmark exemplars to large candidate catalogues spanning the global microbiome. In the clearest cases, these molecules are not only anti-infective leads but ecological effectors: they mediate microbial competition, enforce colonisation resistance, and influence community structure within densely occupied niches. The present review synthesises the field across discovery classes, microbiome sources, ecological roles, and translational bottlenecks, emphasizing a central limitation of the field: candidate catalogues are expanding at extraordinary scale, while evidence for native expression, producer assignment, ecological function, and in vivo relevance remains limited for the vast majority of predicted molecules. Progress will depend on workflows that connect sequence level prediction to biological context through expression support, producer assignment, community level validation, and perturbation-based approaches that distinguish ecological association from causal function. Microbiome-derived antimicrobial peptides are best understood not only as promising therapeutic leads, but also as molecular mediators of microbial social life whose ecological origins are central to their interpretation and future application.

Microbiota↗

A comparative study: conventional preparation and ThinPrep 2000 in respiratory cytology.

In order to compare and contrast conventional preparation (CP) with ThinPrep 2000 (TP) in respiratory cytology, 207 samples were divided equally and processed by the two different preparation methods, generating three CP and one TP slide per sample. No lesion identified by CP was missed by TP and there were no significant differences between TP and CP in the diagnostic categories. However, two cases of squamous cell carcinoma were detected on TP which had been classified as unsatisfactory and moderate squamous dyskaryosis, respectively, on CP. ThinPrep was found to be superior to CP in many respects as it provided standardized preparations in a greater proportion of cases and problems such as cell overlapping and background debris were markedly reduced. In several instances the diagnostic accuracy in CP was compromised by smears that were either too thick, too thin, or too scanty. Cell preservation was also better on TP when compared with CP, facilitating more accurate diagnosis and significantly reducing the primary screening and reporting time, especially of sputum samples. A major advantage of TP methodology is the fact that it facilitates optimal use of skilled cytotechnologists and streamlines the workflow in the laboratory.

Carcinoma↗

Pharmacist's attitudes towards dispensing errors: their causes and prevention.

OBJECTIVE: To assess the attitudes of pharmacists towards the issue of dispensing errors. METHOD: A postal survey was undertaken among all Tasmanian-registered pharmacists residing in Australia. The anonymous questionnaire sought opinions on whether the risk of dispensing errors and the actual numbers of errors are increasing, the major factors contributing to the occurrence of dispensing errors, factors that can best minimize the risk of dispensing errors, the number of prescription items that one pharmacist can safely dispense in a day and whether Australia should have a regulatory maximum dispensing load, and an estimation of the number of recent errors at the pharmacist's workplace. RESULTS: Completed questionnaires were received from 209 pharmacists (50% response rate). Most pharmacists (82%) believed that the risk of dispensing errors is increasing. The principal contributing factors nominated were: high prescription volumes, pharmacist fatigue, pharmacist overwork, interruptions to dispensing, and similar or confusing drug names. The main factors identified as being important in reducing the risk of dispensing errors were: having mechanisms for checking dispensing procedures, having a systematic dispensing workflow, checking the original prescription (duplicate) when dispensing repeats, improving the packaging and labelling of drug products, having drug names that are distinctive, counselling patients at the time of supply, keeping one's knowledge of drugs up-to-date, avoiding interruptions, reducing workloads on pharmacists, improving doctors' handwriting, and privacy when counselling patients. Most pharmacists (72%) stated that they were aware of dispensing errors that had left the pharmacy undetected, in their place of practice during the past 6 months. The median number of such dispensing errors that they were aware of was three. A median of 150 was nominated as the maximum number of prescription items that can be safely dispensed per 9-h day (i.e. 17 items per hour) by or in the presence of one pharmacist. Most pharmacists (58%) stated that there should be a regulatory guideline for the safe dispensing load in Australia. CONCLUSION: Dispensing errors are occurring in numbers well above reports to regulatory authorities or professional indemnity insurance companies, and seem to be accepted as part of practice. High prescription volumes, pharmacist fatigue and overwork appear to be important factors. The profession needs to be proactive and standards must be set appropriately high (i.e. zero error tolerance).

Adult↗

Systems biology for battling rheumatoid arthritis: application of the Entelos PhysioLab platform.

A large-scale mathematical model, the Entelos Rheumatoid Arthritis (RA) PhysioLab platform, has been developed to describe the inflammatory and erosive processes in afflicted joints of people suffering from RA. The platform represents the life cycle of inflammatory cells, endothelium, synovial fibroblasts, and chondrocytes, as well as their products and interactions. The interplay between these processes culminates in clinically relevant measures for inflammation and erosion. The simulation model is deterministic, which allows tracing back the mechanism of action for a particular simulation result. Different patient phenotypes are represented by different virtual patients. The RA PhysioLab platform has been used to systematically and quantitatively study the predicted therapeutic effect of modulating several molecular targets, which resulted in a ranking of putative drug targets and a workflow to confirm the simulations experimentally. In addition, critical pathways were identified that drive the predicted disease outcome. Within these pathways, targets were identified from public literature that were not previously associated with arthritis. The model provides insights into the biology of RA and can be used as a platform for hypothesis-driven research. Case studies of therapies directed against IL-12 and IL-15 illustrate the approach, with emphasis on the analysis of system dynamics.

Algorithms↗

Integrating Next-Generation Sequencing into von Willebrand Disease Diagnostics: Insights from the PCM-EVW-ES Multicenter Project.

Von Willebrand disease (VWD) is the most common inherited bleeding disorder, caused by quantitative or qualitative defects in von Willebrand factor (VWF). Diagnosis is challenging and requires integrating bleeding history, VWF antigen and activity measurements, FVIII assays, and specialized phenotyping. Genetic testing is increasingly recognized as a key component. Here, we review current concepts in VWD diagnostics and highlight the Spanish Clinical and Molecular Profile of von Willebrand Disease (PCM-EVW-ES) project as a model for genomics-enabled precision medicine. PCM-EVW-ES is a multicenter initiative involving 48 hospitals, centralized phenotypic testing, and next-generation sequencing of the VWF coding region, enabling definitive classification in 730 individuals with VWD to date. Harmonized recruitment criteria and standardized workflows improve subtype assignment, uncover complex genotypes, refine genotype-phenotype correlations, and facilitate the identification of asymptomatic carriers. The PCM-EVW-ES variant spectrum highlights recurrent disease-causing variants in Spain and underscores the value of coordinated national registries for variant curation. Building on these data, we propose a diagnostic algorithm in which bleeding assessment and first-line VWF/FVIII assays, combined with, early VWF molecular testing increases diagnostic accuracy and guides targeted second-line investigations to confirm and refine VWD subtype classification. We also outline persisting challenges, including the interpretation of variants of uncertain significance and patients without identifiable pathogenic VWF variants, and future directions integrating third-generation sequencing, expanded gene panels, functional studies, and artificial-intelligence-driven multiomic approaches. Together, these advances illustrate how robust multicenter studies can bridge the gap between complex diagnostics and clinical practice in VWD.

Humans↗

[Project graph technique for time management in abdominal ultrasound evaluations].

PURPOSE: German insurance companies are cutting down the time required for ultrasound examinations. To determine the minimal examination time to perform an ultrasound examination a project graph technique was applied. MATERIALS AND METHODS: Time measurements of abdominal ultrasound examinations were performed by two independent observers. The different jobs for the performance of an ultrasound examination were determined and the critical pathway method applied. The total available time for abdominal ultrasound examinations (leeway) was determined, the minimal time to perform each job was measured and the critical time required for the procedure was calculated. RESULTS: 14 different jobs were identified to complete one abdominal ultrasound examination. The project graph displayed the shortest possible time of 24 minutes to perform an ultrasound examination. The pure ultrasound exam without colour Doppler examination was 6 minutes ("hands on the ultrasound probe"). The jobs performed by the physician were fully within the critical period. In consequence, the physician had no leeway or time lag in relation to a total time of 24 minutes for an ultrasound examination, whereas by contrast the nurse has a total leeway of 7.5 minutes. CONCLUSIONS: The applied project graph technique is an effective instrument for the purpose of quality management for hospitals as well as in private practice. The workflow and actions necessary to perform a treatment or examination can be analysed. Human resources management and cost planning should be performed on the basis of project graphs.

Abdomen↗

[The PACS concept of the University of Regensburg].

AIM: Planning a PACS (Picture Archiving and Communication System) with the aim of a filmless hospital. The service for the referring physicians should be optimised. METHODS: Statistical analysis of data from the RIS (Radiological Information System), customer survey, workflow analysis and cost effectiveness analysis was the basis for planning the PACS. RESULTS: The calculated data quantity of the institute is 6.2 gigabyte per day or 1.7 terabyte per year. The referring physicians wanted to have the examination in 93% of the cases on the same day. For 53% of the cases remote studies were necessary for reading. Only 2.3% of these pictures were older than two years. The organisation of the department makes it necessary to have access to the examination of all modalities from each diagnosis workstation. CONCLUSIONS: Due to specific attributes of the institute, a fast nearline archive, a clustering of the diagnosis workstations and a DiCOM based picture distribution were planned.

Cost-Benefit Analysis↗

[IHE (Integrating the Healthcare Enterprise): a new approach for the improvement of digital communication in healthcare].

Parallel to the introduction of diagnosis related groups (DRGs) for the reimbursement of hospitals, a marked reduction of financial means within the healthcare system is taking place. Healthcare enterprise information systems will play an increasing role to accommodate the new working conditions by developing reliable and efficient workflow solutions. Interfacing the systems currently in use can meet considerable obstacles. By offering high connectivity, IHE (Integrating the Healthcare Enterprise), which was initiated by concerted actions of users and vendors, ensures improved health care delivery and, furthermore, assists in acquiring new information systems in the future. IHE is not a standard but makes extensive use of existing international standards, such as HL7 and DICOM. National IHE demonstrations confirmed the power of this approach and presented its mission to large groups of users and vendors. The concept continues to grow and for the first time provides groups of various interests cooperative solutions to the problems encountered in collecting and distributing information.

Computer Systems↗

[Anaesthesia tomorrow. Looking to the future].

As in past and present times anaesthesiology will remain the central and original part in the spectrum of anaesthesiology, emergency, pain and intensive-care medicine also in the future. Nevertheless, profound changes will take place within the next few years promoting the anaesthesiologist to the manager of the perioperative workflow. Soft and hard skills like qualification in organisation, team-leading, costing and overall quality management will be mandatory. On the other hand, medical and scientific visions should also remain in scope. Improvements in selectivity of pharmacology and monitoring in anaesthesiology and reduction of perioperative morbidity should also be actively promoted. To provide independence from commercial goals of industrial companies and to enable developments from basic research up to evidence-based clinical applications, concentration of knowledge and financial resources in centres of excellence will be imperative.

Analgesics↗

Proteomics: techniques and applications in cancer research.

Proteomics can be defined as functional analysis of the full set of proteins by high-throughput technologies in a given system. The workflow of proteomics is a multi-step process comprising sample preparation, separation, quantification and identification of proteins. Due to the high complexity of different protein species and the wide dynamic range of protein amount within a cell system it is necessary to apply appropriate analysis methods. One approach is to separate proteins first by two-dimensional gel electrophoresis (2-DE) according to charge and molecular weight. Proteins are then fragmented and analyzed using matrix-assisted laser desorption ionisation time-of-flight mass spectrometry (MALDI-TOF MS). Identification of proteins can be achieved by comparing the mass/charge-ratios of these peptides to respective databases. Proteome analysis with respect to the identification of disease-associated patterns of molecules in different tissues is in the early stages, because standardisation of these techniques often remains to be established. However, proteome analyses is a promising tool to obtain holistic insights into the physiological status of a cell or cellular system. Compared to RNA-based studies some advantages are obvious: (1) post-translational modifications, e. g. phosphorylation, contributing to the activity status can be detected at the protein level only, (2) RNA-levels do not necessarily coincide with protein levels for a particular gene, (3) feedback-mechanisms within regulatory pathways can control protein activity without measurable changes in mRNA content.

Algorithms↗

[Digital knowledge in the coat pocket -- hand-held personal digital assistants in radiology].

The personal digital assistant (PDA) enables the independent access to large data in a pocket-sized format. The applications for hand-held computers are growing steadily and can support almost any kind of problem. An overview of the available hardware and software is provided and evaluated. Furthermore, the use of the PDA in the clinical daily routine is described. In view of the numerous software programs available in radiology, the range of software solutions for radiologists is presented. Despite the high acquisition cost, the PDA has already become the digital assistant for the radiologist. After a short time of getting used to the PDA, nobody wants to miss it at work or at home. New technical features and available software programs will continuously increase the integration of the PDA into the medical workflow in the near future.

Computers↗

[Post-processing of radiological data for preoperative planning in skull base surgery].

Preoperative planning in skull base surgery is usually based on numbers of different radiological data. To use this complex data digital post-processing is necessary. There is a significant difference between radiological and surgical post-processing. Planning the approach, resection of the tumour and reconstruction of the defect are supported by the software demonstrated in this study. Integration of the results in a closed workflow of Information-Guided Therapy will increase the potentials of surgical post-processing in the future (i. e. intraoperative navigation and visualization). Evidence based medicine will use digital data of surgical planning.

Carcinoma, Adenoid Cystic↗

[The patient's signature of the physician's report at discharge from rehabilitation].

What follows for the outcome of rehabilitation, patients' satisfaction and work organisation in a rehabilitation hospital if the patients obtain their discharge reports for signature before they leave? This has been investigated in a pilot study at the University Rehabilitation Hospital in Bad Wurzach, Germany. The pilot study was so successful that the hospital continued to use the new procedure. Only very few refused their signature, most patients were happy to obtain their discharge reports immediately and to have the opportunity to discuss the report with their physician if desired. Physician judged patients' participation slightly more pointly while the known discrepancies between physicians' and patients' point of view remained, i. e. the physician doesn't "touch up" knowing the patient will read his report. Integrating the patient in the process is a major step towards patients' empowerment. Both the influence on patients' satisfaction and changes in work organisation are discussed in the paper. A timely discharge examination and an optimised computer-supported workflow, transformation of loosely coupled activities in a process managed by time frames are preconditions for being able to have the discharge report ready before the patients leave. Monitoring the timely delivery then becomes obsolete.

Efficiency↗