Project description:This pilot trial study uses a structural support program for adoption of cancer screening interventions at a rural community-based organization. Rural communities face unique barriers in implementation of evidence-based interventions due to a lack of infrastructure, community capacity, and expertise as academic and research centers are often clustered in urban areas. The support program may help a rural community-based organization select, adapt, and implement cancer prevention and control evidence-based interventions.
Project description:Tandem mass spectrometry proteotyping of microbial samples isolated from an industrial infrastructure for identifying their species taxonomical rank.
Project description:The cellular function of RNA is intimately linked to its structure. The 3D structure of RNA is intricate and compact, and is often complexed with other macromolecules for regulatory interaction. These interactions frequently lead to occluded environments that block structure probing by current reagents. Our RNA infrastructure profiling method (RISP) quantitatively compares standard acylation probes to new small-sized probes, and reveals ca. 80% more structural data for intracellular RNAs underlying protein contacts. Comparative analysis also reveals information about close contacts in ribonucleoprotein complexes such as small nuclear RNAs in the spliceosome. In addition, RISP analysis with small agent AcIm reveals pronounced signals for m6A methylation sites of RNAs in their native cellular setting, even in crowded environments.
Project description:The Solve-RD project brings together clinicians, scientists, and patient representatives from 51 institutes spanning 15 countries to collaborate on genetically diagnosing ("solving") rare diseases (RDs). The project aims to significantly increase the diagnostic success rate by co-analyzing data from thousands of RD cases, including phenotypes, pedigrees, exome/genome sequencing, and multiomics data. Here we report on the data infrastructure devised and created to support this co-analysis. This infrastructure enables users to store, find, connect, and analyze data and metadata in a collaborative manner. Pseudonymized phenotypic and raw experimental data are submitted to the RD-Connect Genome-Phenome Analysis Platform and processed through standardized pipelines. Resulting files and novel produced omics data are sent to the European Genome-Phenome Archive, which adds unique file identifiers and provides long-term storage and controlled access services. MOLGENIS "RD3" and Café Variome "Discovery Nexus" connect data and metadata and offer discovery services, and secure cloud-based "Sandboxes" support multiparty data analysis. This successfully deployed and useful infrastructure design provides a blueprint for other projects that need to analyze large amounts of heterogeneous data.