Articles tagged with Single Cell Profiling
Researchers developed a method to predict how different types of breast cancer will respond to treatment using lab-grown mini tumors. The organoids mimicked a tumor's response to treatment and identified candidate combination therapies for cancers that don't respond to standard treatment.
Scientists from the University of Osaka have created a technique that captures cell-by-cell diversity within tissues with unprecedented precision and stability. This method has the potential to provide new insights into disease research and treatment by analyzing changes in cell chemistry.
Researchers at Harvard's SEAS have developed a highly sensitive calorimeter that can detect metabolic heat signals on the order of 100 picowatts in living cells. The device tracks the growth of small populations of bacteria in real-time, including monitoring how bacterial growth changes in response to different antibiotics.
Researchers found that zirconia implants trigger an immune-inflammatory niche marked by macrophage involvement and COL6A2/CD44 signaling. In contrast, titanium implants support a regenerative microenvironment with collagenase-1/stromal-derived cell differentiation 1 (SDC1) signaling.
Researchers at UT MD Anderson Cancer Center have made significant advancements in cancer care, including the development of a targeted RAS inhibitor therapy for pancreatic cancer and a biomarker of chemotherapy resistance in relapsed lung cancer. The studies also explore the tumor microenvironment of triple-negative breast cancer and i...
Researchers developed a 13-gene panel and machine learning model to predict TNBC patient responses to chemotherapy, identifying macrophage subtypes associated with treatment outcomes. The study provides novel insights into the gene-expression programs and tumor microenvironment of early-stage triple-negative breast cancer.
An international team, led by Göttingen University, investigates how molecular crowding influences enzyme working efficiencies and signalling pathways within cells. The project aims to understand the role of cytoplasm's physical properties in controlling chemical reaction rates.
Professor Timo Betz's project aims to develop synthetic materials that mimic key behaviors of living cells, including self-organization and physical adaptation. By studying the mechanical properties of living cells, he will recreate part of the cell's interior in a synthetic way.
Researchers at Rockefeller University create comprehensive atlas of cell changes with age, revealing synchronized changes across organs and sex differences. The study identifies vulnerable cell types and molecular hotspots that could be targeted with drugs to slow aging.
Researchers developed a technology to map pre-malignant gene mutations and their effects in solid tissues, finding over half of cells contained clonal driver mutations. The study used esophageal tissue samples from six older adults, discovering NOTCH1 and TP53 driver mutations that induced clonal overgrowth and impaired cell development.
Cells use a complex rhythm to respond to different types of stress, such as starvation or salt stress, with insulin-driven protein DAF-16 acting as a key regulator. The research may contribute to understanding diseases like diabetes and cancer, as well as aging.
Researchers at Aarhus University used mini-organs to show that cervical epithelial cells actively detect and combat infections, with uninfected cells becoming immune-active. This discovery opens opportunities for mucosal vaccines and targeted treatments against STIs and infertility.
A team of researchers developed a technology that allows them to measure millions of cell-to-cell interactions quickly and affordably. The study shows that this approach can help predict how patients will respond to immunotherapies, laying the foundation for more personalized treatments.
Researchers developed a systems approach to measuring organelle changes in living cells as they grow. The study found that certain organelles grow faster than others and that the vacuole plays a key role in buffering the cell against randomness.
Researchers developed t-SPESI technology to visualize cell parts and analyze lipid distributions in complex biological samples. This enables the detection of abnormal lipids linked to disease, advancing therapies and diagnostic techniques.
John N. Weinstein, MD, PhD, chair of Bioinformatics and Computational Biology at MD Anderson Cancer Center, has been elected Fellow of the American Association for Cancer Research (AACR) Academy. He made significant contributions to advancing our knowledge of molecular profiles of cancer through multi-omic studies and data analysis.
A new DNA-powered signal amplification technology called ACE significantly enhances the sensitivity of mass cytometry, enabling the detection of multiple proteins in single cells. This breakthrough allows researchers to investigate complex biological processes and study immune cell functions with unprecedented depth.
Researchers found a quantitative difference in B cell response following vaccination between young and older adults, with younger adults mounting a stronger clonal response and older adults having more activated B cells. This study provides insights into the age-related differences in B cell vaccine response and may lead to the develop...
Researchers at Osaka University found that male patients with COVID-19 have a faster loss of circulating Treg cells, leading to dysregulated antibody responses. Females, on the other hand, have higher levels of these cells, which may help protect them from infection.
The network aims to develop a comprehensive children's cell 'atlas' to examine the earliest origins of disease. Researchers will work with young patients and their families to identify disease triggers and intervene early, potentially preventing chronic diseases.
MIT scientists use single-cell profiling to analyze the cellular function of brain cells affected by Alzheimer's disease, identifying five main areas of disruption. The study reveals specific molecular programs and gene regulation changes that could lead to valuable biomarkers and therapeutic interventions.
Researchers at Osaka University have developed a computational tool called CAPITAL that can carry out accurate comparative analysis of complex single-cell sequencing datasets. The tool uses a pseudotime trajectory approach to align and compare cells along hypothetical paths reflecting their progress through transitional processes.
Researchers developed a mathematical model to predict the efficiency of nanoparticle delivery into cells, particularly in stem cells. They found that nanoparticles become trapped in bubble-like vesicles, preventing them from reaching their targets.
A new method using four frequencies of applied voltage improves impedance cytometry for measuring cell size and shape, enabling faster and more accurate biological experiments. The technique reveals specific characteristics of living single cells without damaging them.
Researchers created a single-cell map of corn's root, identifying key regulators of cellular diversity that help crops tolerate drought and flooding. The study found that the genetic regulator SHORT ROOT (SHR) plays a crucial role in expanding cortex tissue, leading to increased tolerance of climate stressors.
Researchers discovered that living cell interiors become softer and more fluid during mitosis, a process crucial for life. The findings could help ensure precise separation of cellular structures into daughter cells.