The Euglena International Network (EIN) has launched a decade-long effort to sequence genomes of all known species of euglenoids, with the goal of understanding basic biology and translational applications. This will aid in exploring products for ecological and environmental management, as well as human welfare through biotechnology.
The AlphaFold Protein Structure Database provides the most accurate and complete picture of human proteins, enabling researchers to accelerate discovery and advance scientific knowledge. The database covers all ~20,000 human proteins and offers a treasure trove of data that could unlock future advances in AI-enabled biology.
A large international consortium of researchers has studied three coronaviruses, identifying common molecular mechanisms and potential drug targets for rapid treatment response. The study also analyzed clinical data to identify effective FDA-approved therapeutics for COVID-19 patients.
Researchers developed a statistical model using genomic data to predict risk of developing oesophageal cancer in patients with Barrett's oesophagus. The model accurately identified high-risk patients years before diagnosis, allowing for early treatment and reducing unnecessary surveillance.
Researchers have found that the shape and structure of muscle fibres in the heart impact its performance and risk of heart failure. The study, published in Nature, reveals how these 'trabeculae' work and develop, and their importance to human health.
Researchers sequenced the tuatara genome, confirming its divergence from lizards and snakes about 250 million years ago. The study found that tuatara have a unique constitution, including a lot of repetitive DNA segments with no known function, which may help them escape predators and live up to 100 years.
Researchers have compiled an unparalleled inventory of the human gut ecosystem by sequencing over 200,000 bacterial genomes from more than 4,600 species. The new databases reveal tremendous diversity in human guts and pave the way for microbiome research.
Researchers developed an AI algorithm to analyse tissue samples from cancer patients, distinguishing between healthy and cancerous tissues and identifying patterns of DNA and RNA changes. The study highlights the potential of AI for improving cancer diagnosis, prognosis, and treatment.
Researchers identified seven clinically approved antiviral drugs that could disrupt the mechanisms of SARS-CoV-2 replication and infection. These drugs target kinases, which are potential targets for treating COVID-19, and may alleviate exaggerated inflammatory symptoms.
Researchers analyzed over 2700 C. elegans genomes to understand the causes of mutations. They found that DNA damage and inaccurate repair mechanisms can lead to mutations, which are a root cause of cancer. The study challenges the assumption of a single cause for mutational signatures in cancer genomes.
Researchers developed a new database of gene essentiality, providing insight into the causes of rare childhood diseases. The study identifies new mutations likely responsible for these conditions and offers a valuable resource for clinicians and researchers.
Researchers at EMBL-EBI have created the largest reference phosphoproteome of almost 120,000 human phosphosites using a machine learning approach. This freely-accessible resource enables scientists to identify critical phosphosites relevant for various biological processes and diseases.
Researchers at EMBL and Medical University of Vienna found B cells play a critical role in triggering inflammation and guiding T cells to melanoma. This discovery suggests that B cells may be more important in immunotherapy than previously thought, potentially leading to new targets for cancer treatment.
Scientists used an epigenetic clock to explore the molecular mechanisms of aging in humans and identified a gene, NSD1, that is closely linked to the process. This research could lead to a better understanding of how aging works and its relationship with various conditions.
The BioImage Archive is a large-scale resource hosting reference imaging data to facilitate global access and analysis. The archive aims to improve research quality, speed up scientific discovery, and advance knowledge in fields like human health, food security, and biodiversity.
Researchers identified nearly 2000 novel bacterial species in the human gut using computational methods, revealing significant geographical diversity and underscoring the importance of collecting data from underrepresented populations to achieve a comprehensive understanding of the human microbiome.
The Bitsliced Genomic Signature Index (BIGSI) allows researchers to identify antibiotic resistance genes and mutations in real time, making vast amounts of genomic data discoverable. This enables the study of disease dynamics, understanding of bacterial ancestry, and prediction of drug resistance.
Researchers developed a computational method called Multi-Omics Factor Analysis (MOFA) to jointly analyze multiple molecular data types from patients, identifying molecular signatures that distinguish individuals. MOFA can help understand cancer development and inform personalized treatment.
Researchers used human and C. elegans data to understand the mutational causes of cancer, finding a resemblance between nematode worms and human cancer genomes. They discovered DNA mismatch repair deficiencies in both species, providing insights into the causes of cancer and potential treatment avenues.
The PDX Finder is a free global portal for cancer models, offering over 1900 clinically relevant models from multiple repositories. Researchers can search and submit their own models to accelerate collaborative research and time-saving.
The UK Biobank is distributing its 500,000-person dataset via the European Genome-phenome Archive (EGA), a resource developed by EMBL-EBI and CRG in Barcelona. This move aims to enable researchers to study human disease causes with maximum efficiency.
The Human Cell Atlas is using sequencing technology to redefine every cell in the body. The platform will allow scientists to share and analyze vast amounts of diverse information generated by researchers across academia and industry.
Aging impairs immune performance by breaking down cell coordination and increasing gene expression variability. Single-cell sequencing reveals the impact on CD4+ T cells, with older tissues showing less coordinated responses.
Researchers found that genetic makeup of social partners significantly impacts wound healing, anxiety, and body weight in mice. The study provides insights into the mechanisms of social genetic effects and their potential application to human health.
Changes in protein modifications generate biological diversity needed for evolution, allowing species to adapt to environments. Most phosphorylation sites arose relatively recently in evolution, contributing significantly to evolutionary diversity and highlighting potential avenues for therapeutic research.
A recent study has combined data from patients, laboratory cancer cell lines, and drug sensitivity to predict how tumours are likely to respond to new drugs. The findings suggest that cancer cell lines can be used to identify the most effective treatment for individual patients, leading to improved success rates for developing personal...
Researchers have created an atlas of gene expression during early mammalian development using single-cell sequencing. This new tool allows for direct observations of individual cells, enabling scientists to map healthy cells against those with genetic abnormalities, shedding light on the causes of birth defects.
Researchers at EMBL-EBI develop an algorithm to cluster peptide mass spectra, identifying 9 million consistently unidentified spectra. This breakthrough simplifies the detection of post-translational modifications and variants, paving the way for more efficient exploitation of proteomics data.
EMPIAR provides valuable data for developing new approaches to data processing and interpretation, facilitating archiving and quality control. The resource accommodates large datasets, including four related 3D SEM entries showing different stages of infection by a malaria parasite.
Researchers developed a new technique called TraCeR that determines both the sequence of T-cell receptors in individual cells and each cell's gene expression profile. This allows for the study of how different populations of T cells respond to disease, enabling the exploration of immune responses in various conditions.
Scientists have developed a new protocol to study DNA methylation and gene expression in single cells, revealing hundreds of individual associations between epigenetic regions and gene expression. This breakthrough provides insights into how pluripotency is maintained and cell differentiation is regulated.
Researchers have created a new 'periodic table' to visualize and predict how proteins combine to drive biological processes. The table reveals fundamental steps in the evolution of protein complexes, providing a systematic view on protein assembly.
The Target Validation Platform provides a single, robust infrastructure that integrates high-level information from key sources of evidence. It enables communities to work together, making the hand-off from basic research to drug discovery smoother, and is expected to grow substantially as it integrates experimental project data.
The study maps gene expression during early development of mice and common marmosets, pinpointing changes that regulate pluripotency. The complex network of gene regulation supporting pluripotency is analyzed, with implications for cell reprogramming and assisted conception.
The MinION miniature DNA sequencing device has been evaluated by an international consortium, showing consistent good performance and accuracy across five laboratories. The data is freely available for re-analysis and innovation on F1000Research.
Researchers used single-cell RNA sequencing technology to study gene expression in mouse embryonic stem cells, identifying new genes involved in pluripotency and discovering new subpopulations of cells. The findings provide insights into the links between environment and inter-cell heterogeneity.
The ENCODE project reveals a massive control panel in the human genome, with 4 million gene switches, to regulate gene expression and prevent disease. The comprehensive data will help researchers pinpoint specific areas for human disease research.
A team of scientists has discovered an epigenetic enzyme that doubles the output of thousands of different genes in male fruit flies to compensate for their single X chromosome. The study found twice as many DNA-transcribing proteins attached to the male X chromosome compared to females.
Italy has pledged participation in ELIXIR, a pan-European effort to manage biological data for research and medicine. The move aims to establish partnerships throughout Europe and benefit from Italy's bioinformatics expertise.
The IMEx Consortium provides a single interface for querying experimental interaction data, making it easier to understand an organism's interactome. With over 100 million curated binary pairs, scientists can identify supported protein interactions and compare new results with publicly available data.
The UK Government has committed £75 million to develop the ELIXIR research infrastructure, a pan-European effort to manage and share life-science data. The initiative aims to promote knowledge-based economic growth and facilitate innovation in areas like food security, energy, and health.