Articles tagged with Single Cells
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.
A breakthrough single-cell method, D&D-seq, enables researchers to map DNA-protein interactions, overcoming technical limitations of current methods. This technology is expected to revolutionize the study of gene regulation and its role in diseases.
A study on a blood parasite's genome has led to the development of a new material with unusual properties. The material combines toughness and softness, characteristics that are typically not found in the same substance.
A new computational tool called scODIN simplifies single-cell analysis by automating cell type identification in scRNA-seq data. It allows users to define specific cell subsets at different levels of detail and recognizes cells with intermediate phenotypes or transitional states, capturing complexity missed by traditional methods.
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.
Researchers have developed a new method that uses expansion microscopy to overcome the spatial resolution problem in mass spectrometry imaging. This allows scientists to detect hundreds of biomolecules at the single cell level in their native locations, enabling better understanding of their functions and interactions.
A new technique called cycleHCR uses DNA barcodes to track hundreds of RNA and protein molecules in single cells within thick biological samples. This allows researchers to decipher how genes function in different parts of an organism, how they enable development, and how they might be altered in diseases.
This review highlights the transformative capabilities of single-cell and spatial genomics, providing critical insights into disease mechanisms and developing innovative therapies. The technologies enable comprehensive cell atlases, tracing the evolution of sequencing methods and incorporating multi-omics approaches, which significantl...
Researchers at Sanford Burnham Prebys used two sequencing methods to reveal new mRNAs associated with Alzheimer's disease, dementia with Lewy bodies, and Parkinson's disease. The study found vast mRNA isoform diversity in genes related to neurodegenerative diseases.
The study found that DNA packaging sends signals through an unusual pathway, affecting cell division and growth. Chromatin acts as a guide, telling the cell how to read and use the information in the DNA.
Scientists have mapped the global repertoire of genes that determine the male or female sexual fates in Plasmodium falciparum malaria parasites. This study reveals key regulators of gene expression during development and identifies novel candidate 'driver' genes, shedding light on the complex biology of malaria transmission.
A new study found that potassium ion channels in the Shaker family were present in single-cell organisms before the origin of the nervous system. This discovery challenges the conventional understanding of how these ion channels evolved alongside the nervous system.
Researchers from Brookhaven National Laboratory have developed an effective way to image a single cell using multiple techniques, providing significant implications in medicine and agriculture. The team used advanced X-ray imaging technologies to capture high-resolution images of the cellular structure and chemical processes within cells.
Research reveals cell-in-cell phenomena are common in non-cancer cells, playing roles in development, homeostasis and stress response. The study argues against targeting cell-in-cell events for cancer therapy, opening new avenues for research in evolutionary biology, oncology and regenerative medicine.
Engineers at the University of California San Diego used a new technique called MUSIC to map out interactions between chromatin and RNA in individual brain cells. The study found that some brain cells age faster and are more prevalent in individuals with Alzheimer's disease, particularly in women.
Researchers at NTU Singapore and Temasek Polytechnic develop a new, sustainable feed alternative for farmed Asian seabass, reducing reliance on wild-caught fishmeal. The single cell protein is cultivated from soybean processing wastewater, offering a promising solution to the aquaculture industry's environmental challenges.
A new AI model generates realistic images of single cells, which are used as synthetic data to train an AI model for better cell segmentation. The researchers found that providing a more diverse dataset during training improves performance.
A new machine learning method called scGHOST has been introduced to identify single-cell 3D genome subcompartments and connect them to gene expression patterns. This can reveal the spatial organization of chromosomes within the nucleus, shedding light on how DNA structure influences gene expression and disease processes.
Researchers discovered a link between single cancer cell mutations and clinical response to epigenetic therapy in myelodysplastic syndrome. Patients showing treatment benefits had decreased mutation counts in stem cells and immature granulocytes, suggesting early tumor elimination is key to therapy success.
Researchers developed a new technique called MAbID to study multiple mechanisms of gene regulation simultaneously, enabling the connection between different gene expression processes. This technology can be applied to various fields, including human development and disease research.
A new generative model named scPoli enables multi-scale representations of cells and samples, facilitating the integration of high-quality large-scale datasets for novel biological insights and disease understanding. This model accelerates atlas building and usage, ultimately accelerating disease understanding and therapy development.
Researchers at Northwestern University identified a new evolutionarily conserved RNAi-based form of cell death called Death Induced by Survival gene Elimination (DISE), which targets essential survival genes in cancer cells. This mechanism is ancient and effective against all cancers tested.
Researchers have developed a new method to detect microRNA targets at the level of single cells, allowing for detailed study of gene regulation. This breakthrough enables researchers to follow microRNA targeting of thousands of RNAs during biological processes, revealing surprising complexity in each cell.
Researchers have identified novel therapeutic targets using single-cell and spatially resolved omics, including cannabidiol for colorectal tumors, Cux1 as a potential target for dry skin diseases, and microglia communication for Alzheimer's disease. These studies offer hope for future treatments.
Researchers have revealed key atomic structures of actin filament ends using cryo-electron microscopy. The study provides fundamental insights into the mechanism behind actin filament polarity, shedding light on disorders such as muscle weakness and heart problems.
Researchers found variant cells in lungs of IPF patients that can drive fibrosis and inflammation. These cells may be targeted for future therapy, offering new hope for treatment.
Researchers have developed an automated calling algorithm for determining B and T cell clonality from NGS data with greater sensitivity than previous models. The new model increases the assay's sensitivity in detecting clonality, allowing for more accurate diagnosis and monitoring of lymphoproliferative disorders.
Researchers have developed a new technology to sequence individual mitochondria in single cells, allowing for unbiased analysis of full-length mtDNA. This has revealed complex patterns of pathogenic mtDNA mutations and the potential risks of off-target mutations in genetic editing strategies.
Researchers assembled the largest atlas of post-zygotic genome mutations in healthy human tissue, providing insight into genetic underpinnings of disease. The study found that most detectable mutations occurred later in life, but some arose systematically and predictably as people age.
A team of scientists at Max Planck Institute for the Science of Light developed a method to quickly and accurately diagnose cancer using artificial intelligence and real-time deformability cytometry. The method reduces analysis time from hours to under 30 minutes, enabling faster decision-making during surgery.
Researchers developed a hybrid micro-robot that can navigate in physiological environments and capture targeted damaged cells. The micro-robot uses electric and magnetic mechanisms to identify and transport single cells for further study.
A research team developed an AI-powered method to automatically detect single cells in microscopic images, achieving a mean Average Precision (mAP) of 0.989. This technology reduces human labor and improves single-cell analysis, enabling the discovery of new treatment methods for diseases.
Leif Ludwig's analytical method allows for easier disentanglement of blood cell trajectories, enabling identification of leukemia cell development or degenerative changes. This breakthrough opens up possibility for human medicine to conduct studies in clinical practice and derive therapeutic interventions.
Researchers identified 17 clusters of single cells in peripheral blood, showing upregulation of antigen processing and presentation pathways and downregulation of genes involved in ribosome pathways with age. The study also found senescent T cells resistant to apoptosis, potentially targeted for treatment.
Researchers from Washington University in St. Louis and Purdue University used single-cell data to develop a new framework for understanding the relationship between cell growth, DNA replication, and division in bacteria. They found that individual cells can exquisitely coordinate these processes, despite the 'noisiness' of each process.
A new lung cell atlas has revealed 11 new cell types and a previously unknown immune niche in the airways, which could help prevent or treat respiratory diseases. The atlas provides detailed insights into how cells interact and communicate with each other in healthy lungs.
A new system called EasySort AUTO uses artificial intelligence image recognition to sort single bacterial cells, increasing efficiency by over 93% and preserving cell vitality. The technology has been successfully tested on yeast and E. coli bacteria, with over 80% of sorted cells able to be cultured.
Researchers will map developing brains, identifying cell types, activities, and locations as they differentiate during development and change throughout childhood and adolescence. The project aims to learn more about normal, healthy brain development and better understand how diseases like autism, schizophrenia, and Parkinson's emerge.
Researchers at the University of Copenhagen have made a breakthrough in understanding schizophrenia by analyzing individual brain cells. The study identified specific neurons and networks affected by the disease, suggesting that targeting these areas could lead to new treatment options.
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 from Rutgers Cancer Institute have identified specific microorganisms associated with inflammation and poor survival in pancreatic tumors. These microbial signatures can be used as new targets for earlier diagnosis or treatment of the fourth leading cause of cancer death.
Researchers used Raman spectroscopy to identify and analyze Escherichia coli persister cells, finding they have enhanced metabolic activities despite being in a dormant state. This new understanding could lead to the development of novel therapeutic strategies.
Researchers discovered that individual cells use multimodal perception to integrate external and internal cues when making decisions. This finding has significant implications for understanding cellular decision-making in various contexts, including cancer treatment resistance.
Researchers at Brown University have developed a new method to isolate single cells from complex tissues using electric fields. This approach results in high-quality, intact single cells that are superior to standard isolation methods in terms of labor, cost, and efficiency.
Researchers at Nagoya University discovered a tubulin homolog protein in the archaeon Odinarchaeota, which forms microtubules critical to cell organization. The study reveals an intermediate structure between bacterial and eukaryotic cells, shedding light on the evolution of complex cellular features.
The WVU program trains next generation of toxicologists to collect, analyze air samples from mining, fracking sites, using the university's Inhalation Facility. Students will work with preceptors from various fields to investigate health effects of inhaling toxicants.
Researchers created multi-tissue cell atlases to transform our knowledge of biology, infection, and disease. The studies revealed novel cell functions, immune cell types, and disease genes across the human body.
Researchers from Uppsala University developed a new method to predict temperature tolerance in individual microalgae symbionts, enabling the identification of climate resilient cells. This study aims to accelerate coral reef restoration efforts by introducing more robust coral symbionts to combat climate change.
The Max Delbrück Center researcher is investigating the mechanism of how the heart responds to environmental factors and adjusts its elastic properties. He plans to develop technologies for single-cell mechanics, -transcriptomics, -proteomics to enable higher rates of throughput for multi-omics approaches.
Researchers at Northwestern University developed an AI-assisted Nanofountain Probe Electroporation system to engineer stem cells. The new method reduces cell loss and increases throughput, enabling selective manipulation of individual cells in micro-arrays.
Researchers used single cell RNA-sequencing to identify specific cells and genes in maize roots responsible for nitrate uptake. The study provides valuable insights into optimizing root nutrient uptake ability in crops.
Researchers developed a new genomic technology to analyze DNA, RNA and chromatin from a single cell, providing a comprehensive database for better understanding of brain diseases. The technology helped identify 63 cell types in the human frontal cortex region.
Researchers created a comprehensive genomic regulatory map of a 24-hour-old zebrafish embryo, identifying millions of regulatory segments that control gene transcription. The study used single-cell technologies and machine learning algorithms to analyze genome data from over 23,000 nuclei.
A study published at Tokyo Medical and Dental University found that Mkx regulates cellular heterogeneity and gene expression in the PDL, revealing its importance in homeostasis. The results showed that a deficiency of Mkx promotes ossification in the PDL and suggests a compensatory mechanism via Scx to maintain homeostasis.
Researchers developed a new cell model of the olfactory mucosa, which is impaired in patients with Alzheimer's disease. The study provides new insights into the disease pathophysiology, including the potential role of viral infections and air pollutants in brain function.
Scientists have developed a pioneering new technique to barcode individual cells more accurately and efficiently. The method combines artificial intelligence with microfluidics, allowing for real-time analysis of single cells and enabling the efficient sorting and counting of cells.
Researchers identified brain cells called angular head velocity (AHV) cells that track head motion speed, which improves estimation of own head angular speed when visual cues are available. This study sheds light on the neural mechanisms underlying navigation and self-motion guidance in the brain.
A team of scientists developed a free VR tool called singlecellVR, allowing users to explore single-cell datasets in VR. The program is built on previous advancements and enables users to visualize their own precomputed data directly from commonly used single-cell analysis tools.
The special issue features original research on novel computational methods for single-cell genomics, as well as perspective review articles on the past, present, and future of the field. Key findings include advances in cell type identification and classification, single-cell epigenetics, and spatial transcriptomics.
Scientists from Nara Institute of Science and Technology have created a simple and fast method for detecting cell shape as they pass through a microfluidic channel. The team used changes in electrical impedance to measure the asymmetry of individual cells, which may greatly accelerate biological experiments.