Articles tagged with Biorepositories
GBIF has grown to include 70 participating countries and 3.8 billion biodiversity data records, supporting over 15,000 publications and eight new peer-reviewed research papers per day. Despite challenges, GBIF continues to provide critical infrastructure for biodiversity science and policy worldwide.
Global Biobank Awareness aims to increase global visibility of biobanks, promoting their role in scientific discovery, environmental sustainability, and modern healthcare. The initiative seeks to build awareness and support among the scientific community, policymakers, and the public.
The summit brought together endocrine leaders to identify opportunities to work closely together on increasing the visibility of endocrine health in policy decisions. Early findings from a workforce survey revealed challenges including long patient waiting times and retention concerns among early-career clinicians.
The Alliance for Clinical Trials in Oncology will host a webinar highlighting recent clinical advances in breast cancer, multiple myeloma, and leukemia. Researchers will present key findings from ASH and SABCS meetings, impacting treatment outcomes.
The project addresses data fragmentation in biodiversity sciences, connecting fragmented data to tackle biodiversity loss, climate change, and emerging public health threats. A collaborative effort developed five cross-cutting themes to guide data integration, emphasizing the need for large-scale community action.
The partnership aims to accelerate the development of treatments for neurological diseases by providing a cutting-edge biorepository for pediatric CNS tissue and biofluids. The repository will house high-quality, well-characterized human tissues and bio fluids, supporting drug discovery efforts and biomarker identification.
Researchers developed new AI models, InstaNovo and InstaNovo+, to vastly improve accuracy and discovery in protein science. These models excel in tasks such as de novo peptide sequencing, identifying microorganisms, and discovering novel peptides, with implications for personalized medicine, cancer immunology, and beyond.
A WVU research partnership with the DEA aims to improve fast and accurate identification of psychoactive substances like fentanyl. The Expert Algorithm for Substance Identification (EASI) will enable labs using different instruments to share data on chemical profiles, helping to identify drugs like fentanyl.
Researchers discovered a massive number of evolutionary events in the Asteraceae family on remote islands, resulting from rapid speciation over short time periods. The findings confirm that larger, isolated islands harbor unique species and highlight the importance of protecting this diverse group of plants.
The WPI team will develop an inexpensive test kit that can quickly identify vulnerable species and track illegal wildlife trade on social networks. The project aims to disrupt the multi-billion-dollar industry by providing law enforcement with real-time results and long-term trends.
A team of researchers suggests creating a lunar biorepository to store cryopreserved samples of at-risk animal species, leveraging the Moon's natural cold temperatures for long-term storage. The facility aims to protect biodiversity from extinction threats and challenges such as climate change and geopolitical conflicts.
A UCF biologist has compiled a database of animal DNA to study the presence of magnetic bacteria, which may aid in navigation and conservation. The database contains hundreds of millions of genetic sequences showing the presence of various types of magnetic bacteria.
The e-COL+ project aims to capture and reconstruct France's natural history collections in 3D, covering nearly 6% of the world's total natural specimens. The project will provide modern equipment, create a comprehensive dataset of 3D models, and build AI tools to improve model reconstruction.
Researchers analyzed Beethoven's DNA to investigate his genetic musical predisposition, finding an unremarkable polygenic score compared to population samples. The study suggests that while DNA contributes to musical skills, environment plays a key role in musical ability and engagement.
Leading investigators are creating a one-stop resource for human pancreatic data, standardizing and disseminating curated information on the human pancreas to foster collaborative and reproducible diabetes research. The PanKbase program aims to provide machine-actionable data following FAIR principles.
Researchers at UCSF used clinical data and a precision medicine approach to identify early risk factors for Alzheimer’s disease, predicting its onset with 72% accuracy. High cholesterol, osteoporosis, and erectile dysfunction were found to be predictive factors in both men and women.
A new database visualizes longitudinal viral respiratory infection data from a NYC cohort, offering insights into host response and illness severity. The Virome Data Explorer provides a publicly-accessible resource for researchers to analyze patterns and changes in infections, symptoms, and gene activity.
The Caatinga's ecosystem is projected to lose up to 87% of its mammal species and 70% of plant assemblages due to climate change. This will result in a loss of ecological functions, such as seed dispersal, and make the ecosystem less resilient.
A study by Johns Hopkins Medicine has identified teneurin-3 as a key protein for stabilizing the body's circadian rhythms. The protein helps wire the brain during neural development to allow for stable responses to light changes, reducing the impact of disruptions on sleep and other cycles.
A pioneering collection of brain metastasis living samples has been established, enabling researchers to study the response to specific drugs and identify the best therapeutic options for each patient. The RENACER network connects hospitals and patients, facilitating the rapid sharing of research findings and clinical trial data.
Researchers developed a novel approach to predict therapeutic targets for aging and age-related diseases. They trained a domain-specific BioGPT model on biomedical literature, which improved its performance in identifying prospective targets.
A new Australian biobank will collect patient information and store blood test and skin biopsy samples from children across Australia with genetic muscle disease. The goal is to advance research into understanding why these diseases develop and discovering new treatments.
Biodiversity researchers can now incorporate nanopublications into their manuscripts to future-proof their assertions on biological taxa and organisms. The newly released nanopublication workflow enables authors to create machine-actionable, FAIR data that can be easily traced back to its origin.
Researchers investigating early liver transplantation for alcohol-associated liver disease aim to understand who benefits most and develop best practices. They will collect data on patient outcomes, biological samples, and audio recordings to identify factors influencing selection decisions.
A new study uses machine learning to analyze data from DrugAge, a database of chemical compounds modulating lifespan in model organisms. The researchers create four types of datasets to predict whether or not a compound extends the lifespan of C. elegans, using features such as compound-protein interactions and Gene Ontology terms.
The £72 million investment will support cutting-edge research in fluid dynamics, biological sciences, and astronomy. It aims to maintain the UK's position as a science superpower and accelerate innovation in various fields.
A review of scientific literature on reptiles between 1960 and 2021 found that 15% of articles focused on only ten species, with fewer than ten studies published on 90.5% of all species. The authors attribute this bias to factors such as habitat, size, danger of extinction, and proximity to research institutions.
A comprehensive genomic analysis of over 200 patients with metastatic urothelial carcinomas identified potential treatment options for nearly 70% of patients. The study found that integrating clinical and molecular features could predict response to immunotherapies, offering hope for personalized treatment approaches.
The 'Nature's Envelope' is a simple model that depicts the scope and scale of biology by compiling information about all living organisms' processes. The model plots sizes of participants and durations of processes on a logarithmic grid, revealing broad S-shaped envelope encompassing half of decadal blocks.
A recent study published in mBio discovered that the SARS-CoV-2 viral gene ORF8 plays a crucial role in the severity and spread of COVID-19. Researchers found that mutations in ORF8 contribute to inflammation and disease outcomes, suggesting new treatment options for patients with severe cases.
The newly developed KANPHOS database provides comprehensive information on kinase-associated protein phosphorylation, facilitating research into neural signaling pathways. The database contains information on phosphoproteins, phosphorylation sites, and participant kinases, allowing for searches based on various parameters.
A recent study published in Pediatric Research found no SARS-CoV-2 genetic material in breastmilk from mothers infected with COVID-19, ruling out transmission to infants. The authors analyzed 110 lactating women and did not find any clinical evidence of infection in breastfeeding infants.
A new study links the composition of gut microbiome before infection to HIV susceptibility and progression. Men who contracted HIV in the early days of the pandemic had a greater relative abundance of pro-inflammatory vs. anti-inflammatory gut microbes, which contributed to their increased risk of developing AIDS.
A randomized controlled trial found that CBT with yoga and education components significantly reduced pain impact and disability in patients on long-term opioid therapy. Patients receiving CBT also reported greater reductions in pain compared to those receiving usual care.
The world's largest repository of raw genomic sequences is missing critical data necessary for monitoring and preserving biodiversity. Only 14% of archived datasets contain information about when and where organisms were sampled, highlighting the need for community standards to preserve metadata.
Researchers have discovered that reduced levels of sphingosine are significantly associated with developing COVID-19 symptoms, while elevated sphingosine and acid ceramidase levels are linked to asymptomatic infections. This biomarker has a high degree of accuracy in predicting patient outcomes.
The Washington COVID-19 biorepository has expanded its sample types to include convalescent plasma, enabling diagnostics developers to accelerate the development and validation of quality diagnostic products. This move aims to improve the performance of antibody assays and facilitate the verification of tests for global markets.
Arizona State University will receive biological samples from 81 field sites across the US for 30 years, providing long-term ecological data. The NEON Biorepository Data Portal will make detailed information available online.
The new federal Open Payments Program database is incomplete, with issues including limited data, vetting, de-identification, and context. Despite these flaws, experts like Dr. Eli Y. Adashi urge patience, as improvements are underway and the site's potential for transparency and oversight is still significant.
The new resource allows users to view, store, and edit biological pathway information, leveraging collective expertise to facilitate content collection and curation. WikiPathways provides a wealth of annotated information, maximizing the value of biological data and supporting future hypotheses and discoveries.
Researchers at Virginia Tech developed guidelines for designing and managing next-generation databases of biological parts. The study identified key needs for improvement, including standardization of DNA clones and quality control measures.
The partnership aims to reduce the 'flood of information' in TAIR by allowing researchers to directly enter their own data through a web interface. This will increase data input from Plant Physiology articles, enhancing the overall dataset in TAIR.
A new high-performance computing institute will enable researchers to analyze large biological databases in minutes, expanding the field of computational biology. The Microsoft-funded institute will focus on developing new software and applications for bioinformatics.
The Penn Center for Molecular Discovery will screen hundreds of thousands of molecules against biological targets, creating a massive public-domain database. The center's capabilities include printing and testing molecules on a glass surface, probing chemical-biological interactions in nanoliter volumes.
Researchers found a significant association between chronic respiratory disease and periodontal disease in the Third National Health and Nutrition Examination Survey. Poor oral health worsens respiratory function and may increase risk of serious lower-respiratory-tract infections.
Researchers have identified over 2,000 genes active in blood stem cells, shedding light on how they replenish themselves and potentially inform treatments for diseases like leukemias. The discovery offers a powerful tool for understanding blood cell production and development.
The ITIS system provides a unified way of naming nature's living organisms, enabling easy access to credible databases and information on species origin and distribution. This standardized terminology facilitates accurate documentation, data sharing, and research among scientists, resource managers, and the general public.
Taxonomic names are in flux, reflecting current knowledge about species. The USGS-developed ITIS database provides a tool to link and integrate name changes over time.