Explore

University of Colorado Seeks Research Scientist for Spatial Biology and Multiomics Data Analysis

University of Colorado Seeks Research Scientist for Spatial Biology and Multiomics Data Analysis

The University of Colorado Anschutz Medical Campus is actively seeking a Research Scientist to join its team in Aurora, Colorado. This role is central to a basic-translational research program focused on lung biology, specifically investigating gene expression and cellular dynamics in lung development and disease. The successful candidate will be responsible for analyzing complex multiomics datasets, including bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics data. This involves utilizing advanced bioinformatics methodologies with R and Python, developing and maintaining reproducible computational workflows, and generating publication-quality figures and reports. The position requires close collaboration with bench scientists to design experiments, interpret biological data, and translate complex datasets into actionable scientific insights. The Research Scientist will also contribute to manuscript preparation, grant proposals, and the mentorship of junior investigato...

Tempus AI Postdoctoral Fellow Position Opens in Precision Oncology Research

Tempus AI Postdoctoral Fellow Position Opens in Precision Oncology Research

Tempus AI, a technology company specializing in precision medicine, has announced an opening for a Postdoctoral Fellow in Chicago. This full-time, onsite research position is focused on advancing precision oncology through the application of computational methods to large-scale clinical and genomic cancer data. The successful candidate will have direct access to over 300,000 de-identified samples containing genomic and clinical data, a substantial organoid repository with genomic and pharmacological screening data, and a robust computational environment. The role involves mentorship and collaboration with clinicians, molecular biologists, and data scientists. Applicants are expected to possess a PhD in Computational Biology, Bioinformatics, or a related field, or an MD with extensive experience in clinical and translational cancer research, along with a strong record of scientific accomplishments.

ROBOKOP v1.0 System Enhances Biomedical Knowledge Graph Exploration and Reasoning

ROBOKOP v1.0 System Enhances Biomedical Knowledge Graph Exploration and Reasoning

The ROBOKOP (Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways) v1.0 system has been released, offering an open-source, modular, biomedical knowledge graph (KG)-based platform. This system integrates and harmonizes over 30 knowledge sources, containing approximately 10 million nodes and 130 million edges, to facilitate the exploration of relationships between biomedical entities. Key components include the ROBOKOP KG, a user interface (UI), and supporting tools. The Operational Routine for the Ingest and Output of Networks (ORION) pipeline standardizes and integrates these diverse knowledge sources using the Biolink Model's universal KG schema. Users can query the system through a Question-Builder tool, which translates natural-language questions into machine-readable queries, or via Cypher and TRAPI endpoints for more complex inquiries. The system provides ranked answers, with detailed provenance and supporting evidence for each assertion, including publications and source informatio...

RamanOmics Integrates Spatial Transcriptomics and Vibrational Imaging to Characterize Cellular Senescence

RamanOmics Integrates Spatial Transcriptomics and Vibrational Imaging to Characterize Cellular Senescence

Researchers have developed a new technique called RamanOmics, which combines spatial transcriptomics with label-free vibrational-biochemical imaging to provide a multimodal understanding of cellular senescence. This method allows for the detailed analysis of the spatial organization and interactions of cells and molecules within tissues. By integrating imaging-based, single-cell spatial transcriptomics (STARmap-ISS) with Raman microscopy, RamanOmics can map gene expression and biochemical phenotypes at a single-cell resolution. The study applied this framework to analyze aging and senescence in mouse lung and skin tissues, identifying multimodal signatures of aging and senescence. This approach enabled the accurate spatial identification and characterization of vibrational-biochemical and molecular architecture of cellular senescence across tissues and ages, offering a comprehensive view of how cells change during aging and in response to environmental factors.

Spatial Transcriptomics Reveals Immune Niches Driving Persistent Atopic Dermatitis

Spatial Transcriptomics Reveals Immune Niches Driving Persistent Atopic Dermatitis

New research has identified organized clusters of immune cells within the skin that may contribute to the persistence and relapse of atopic dermatitis. Using spatial transcriptomics, researchers analyzed skin biopsies from patients with atopic dermatitis, psoriasis, and healthy controls. This advanced technique allowed them to map gene expression across tissue sections and understand the physical organization of inflammatory cells. The study found distinct immune niches in atopic dermatitis lesions, characterized by activated T helper 2 cells closely associated with mature migratory dendritic cells in the superficial dermis. A neighborhood analysis further revealed T-cell-rich regions surrounded by inflammatory fibroblasts and activated keratinocytes. These areas exhibited signaling patterns suggesting ongoing interactions between dendritic cells and T cells, potentially promoting the continuous recruitment and activation of pathogenic T cells. The findings indicate that inflammation in atopic dermatitis i...

Scientists Advance Livestock Breeding and Human Fertility Research Through Genetic and Stem Cell Discoveries

Scientists Advance Livestock Breeding and Human Fertility Research Through Genetic and Stem Cell Discoveries

Recent scientific research highlighted on ScienceDaily indicates significant advancements in understanding and manipulating biological processes relevant to both livestock breeding and human fertility. One key area of focus is the role of genetic variation, shaped by evolution, in improving livestock. Scientists are leveraging this understanding in breeding programs for crops and animals. Additionally, researchers have successfully generated human stem cell models that contain notochord, a crucial tissue in embryonic development responsible for guiding the formation of the spine and nervous system. Efforts are also underway to obtain eggs and offspring using oocytes within ovaries, a technique aimed at preserving desirable traits in livestock and addressing human fertility challenges. This method, which includes ovarian transplantation, represents a promising avenue for reproductive science. Furthermore, new studies on Glycolysis, the process of converting sugar into energy, reveal its importance in early ...

IISc Scientists Control Human Cell Division with Blue Light, Bypassing Natural Scaffolding

IISc Scientists Control Human Cell Division with Blue Light, Bypassing Natural Scaffolding

Researchers at the Indian Institute of Science (IISc) in Bengaluru have developed a method to control human cell division using flashes of blue light. This technique, named Light-Induced Spindle Assembly (LISA), allows scientists to trigger the assembly of the microscopic machinery required for cell division by clustering Aurora A proteins. This is achieved by engineering human cells to attach Aurora A proteins to a light-sensitive module. When blue light is applied, these proteins rapidly clump together, activating them and initiating the formation of the mitotic spindle, which is crucial for DNA division. This breakthrough demonstrates that the massive Cep192 scaffold, previously thought necessary for Aurora A activation, is not essential. The LISA system can even rescue cells from division failure when their centrosomes, the natural organizers of microtubule threads, are intentionally destroyed. Unlike previous methods, LISA operates directly within living human cells and is fully reversible, allowing f...

Tumors Evade T-Cell Recognition by Hiding p53 Neoantigens, Dana-Farber Research Reveals

Tumors Evade T-Cell Recognition by Hiding p53 Neoantigens, Dana-Farber Research Reveals

New research led by the Dana-Farber Cancer Institute and Harvard Medical School has uncovered a mechanism by which tumors can evade detection by the immune system, specifically T-cells. The study, published in Immunity, found that despite the prevalence of TP53 mutations in cancer, which are attractive targets for personalized immunotherapies, tumors can actively restrict the presentation of p53-derived neoantigens on their surface. This means that even if a tumor has a mutation predicted to produce a strong neoantigen, the resulting peptide may not be processed, loaded onto a human leukocyte antigen (HLA) molecule, or displayed at sufficient levels on the tumor surface for T-cells to recognize it. The researchers utilized an ultrasensitive mass spectrometry-based immunopeptidomics platform, combined with tumor genomics, structural biology, and engineered T-cells, to directly investigate p53 peptide presentation.

UN Launches System Data Commons to Centralize Global Data for Decision-Making

UN Launches System Data Commons to Centralize Global Data for Decision-Making

The United Nations has launched the UN System Data Commons, a new online platform designed to consolidate data and statistics from 26 UN entities into a single, accessible gateway. Secretary-General António Guterres unveiled the platform, emphasizing its role in making trusted public data more readily available. The platform, accessible via data.un.org, allows users to search nearly 44 million data points using natural language, explore trends, compare information across various topics and countries, and trace data back to its original source. This initiative aims to streamline access to the UN's extensive data, which was previously dispersed across numerous platforms, thereby enhancing its utility for informed decision-making. The project is a result of the UN80 initiative, focusing on shared infrastructure to improve efficiency and accessibility.

AbbVie Seeks Lead Business Intelligence and Analytics Solution Engineer, Emphasizing Dataiku Proficiency

AbbVie Seeks Lead Business Intelligence and Analytics Solution Engineer, Emphasizing Dataiku Proficiency

AbbVie Seeks Lead Business Intelligence and Analytics Solution Engineer, Emphasizing Dataiku Proficiency

U.S. Researchers Contribute to Solving 340-Year Mystery of Queen Christina of Sweden's Death

U.S. Researchers Contribute to Solving 340-Year Mystery of Queen Christina of Sweden's Death

Professor Zaid Abassi of Technion, along with Professor Rolf Barth of Ohio State University and Professor L. Maximilian Buja of the University of Texas, have re-examined historical records and autopsy reports to shed new light on the death of Queen Christina of Sweden. Their research suggests that Queen Christina likely suffered from undiagnosed diabetes, which contributed to a chronic leg wound and bacterial infection. This infection is believed to have spread, leading to sepsis and ultimately her death at age 62 in 1689. The symptoms consistent with diabetes, such as extreme thirst, excessive urination, weight loss, and chronic leg wounds, were documented during her lifetime. Doctors in the 17th century did not recognize diabetes as a diagnostic entity, though they noted symptoms like sweet-tasting urine. The researchers' findings complement previous conclusions that she died from an infection, providing a medical explanation for her final illness.

Barnard College Professor Utilizes AI for Tulsa Race Massacre Investigation

Barnard College Professor Utilizes AI for Tulsa Race Massacre Investigation

Corey Toler-Franklin, Assistant Professor of Computer Science at Barnard College, is applying advanced computer graphics and vision techniques, including artificial intelligence (AI) and neural networks, to the ongoing investigation of the 1921 Tulsa Race Massacre. Collaborating with forensic anthropologist Phoebe R. Stubblefield and the '1921 Graves Investigation' team, Toler-Franklin's research aims to identify victims buried in unmarked graves and reconstruct historical events. Her work involves using custom imaging devices to analyze materials at investigation sites, revealing details invisible to the naked eye. The AI algorithms process vast amounts of historical data, such as census records, newspaper clippings, and death certificates, to find patterns and connections that can aid in identifying victims and understanding familial relationships. This technological approach addresses the challenge of deteriorated remains and artifacts over the past century, providing new avenues for forensic analysis.