Articles tagged with Single Cells
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.
Researchers have devised a way to multiply the accessible details of gene activity in individual cells, allowing for better understanding of cancer development and brain function. The new method delivers about a ten-fold improvement in DNA recovery from single cells and reduces sequencing costs by one third.
Researchers at Skoltech have designed a labeling system for individual cells using polymer multilayer microcapsules that can be easily reproducible and non-toxic. The system allows for the tracking of single-cell behavior and migration with extreme precision, facilitating studies on cell movement and communication in populations.
Researchers from CeMM Research Center have developed a new method called scifi-RNA-seq that enables efficient RNA sequencing for millions of individual cells. This method marks the RNA of many cells with specific barcodes, allowing for analysis of complex tissues and organs.
Whispering-gallery mode (WGM) microlasers exhibit extraordinary sensitivity for detecting physical, chemical, and biological entities, even down to single molecules. Active WGM microlasers have the potential to expand applications in biological and chemical sensing, particularly in in vivo sensing.
Researchers identified two novel vascular smooth muscle cell subsets under high hydrostatic pressure, which promote or exacerbate endothelial dysfunction. These subsets are associated with hypertension and contribute to the pathogenesis of cardiovascular diseases such as coronary artery disease and stroke.
Researchers at Harvard Medical School and Peking University introduce a novel technique for tracking individual cells using omnidirectional visible laser particles. The innovative method reduces orientation-dependent intensity fluctuations, allowing for blinking-free tracking of single cells under complex biological conditions.
WEHI researchers used 'single cell multi-omics' to identify a previously unknown lymphocyte progenitor, which could give rise to T and B lymphocytes. This discovery adds a new layer to the immune family tree and provides insights into how these cells develop.
Scientists from the University of Copenhagen have identified specific neurons most affected by epilepsy, which could lead to personalized medicine-based treatments. The study analyzed over 117,000 neurons and found thousands of genes changing their expression in epilepsy.
Nathaniel Gabor's lab is developing a new microscopy technique to study bacterial growth in light and examine the physics of light harvesting. The project aims to gain precise control of optical excitation at the single cell level, potentially upending the current state of knowledge on light sensing in biosystems.
Researchers developed a novel approach to decontaminate single-cell RNA seq data, allowing for accurate quantification of cell-specific drug effects in pancreatic islets. The method revealed species-specific and cell-type-specific responses to drugs, including the induction of insulin production in alpha cells.
Scientists have developed a 'virtual embryo' model of the sea squirt Phallusia mammillata, providing unprecedented insights into early embryonic development. The study describes the gene expression and morphology of every single cell in the embryo, revealing coordinated regulation and reproducible patterns.
Researchers developed a novel computational tool called Millefy to visualize heterogeneity in RNA biology between single cells. The study reveals that even small differences in RNA processing can significantly impact cell behavior, offering new insights into why patients with the same disease respond differently.
Researchers discovered that Cdkn1c loss leads to cell death and smaller brains when targeted at the single-cell level. In contrast, whole animal studies revealed no effect on brain size, suggesting a new growth-promoting role of Cdkn1c.
A freshwater protist exhibits a hierarchy of avoidance behaviors, suggesting it can change its response to an environmental irritant. The study confirms that single cells can exhibit relatively complex decision-making processes, making evolutionary sense given their apex predator status in aquatic environments.
A SUTD research team developed a novel N-shaped electrode design for measuring single cells' lateral positions and biophysical properties in a microdevice. This approach uses differential current to encode particles' trajectories, eliminating expensive imaging setups.
New approaches in transcriptomics are providing single cell views of brain development and disease, including cellular processes associated with addiction and degeneration. These studies highlight the potential of transcriptomics to probe molecular changes within brain cells during normal development or diseases such as Alzheimer's and...
A team from the University of Pennsylvania has created a comprehensive molecular map of every cell in a developing animal embryo, using single-cell genomics methods. The study provides insights into how cells specialize their function during development and could lead to breakthroughs in regenerative medicine and cellular engineering.
Researchers have developed a novel method to precisely detect and characterize genes in individual cells, enabling selective enrichment of selected molecules. This approach, called BART-Seq, addresses the challenge of detecting low-abundance gene transcripts and has potential applications in disease diagnosis and precision gene-editing.
A recent study published in Scientific Reports reveals a vast diversity of ocean microbes called protists, which form complex relationships with other members of the microbial food web. The research team analyzed over 900 single cell genomes, documenting genetic code that had never been identified before.
ECCITE-seq allows researchers to profile different types of biomolecules from thousands of single cells in parallel, offering a breadth of information that can be used as readout in CRISPR-based pooled genetics screens. This technique enables fine dissection of specific cell subtypes and helps reveal a transcriptomic signature of malig...
The new ultra-low input CUT&RUN (uliCUT&RUN) technique allows for genome-wide mapping of DNA binding proteins from single cells and individual pre-implantation mouse embryos. This enables researchers to focus on cell heterogeneity and studies from limited biological samples.
The European Commission has awarded €1 million in funding to the LifeTime initiative, a six-year research project that will integrate single-cell methods, personalized organoids, and machine learning to understand human cells when diseases develop. The goal is to fundamentally improve patient care and set the basis for precision medicine.
A new method called FIt-SNE has been developed to speed up the analysis of single-cell gene expression data, reducing rendering time from over three hours to just fifteen minutes. This innovation allows researchers to capture rare cell populations and visualize thousands of genes at the level of single cells simultaneously.
A new method for single cell chromatin accessibility profiling has been developed, allowing researchers to profile over 3000 cells from the spleen. The study revealed distinct immune cell types and related transcription factors, providing insights into cellular function and organization.
Scientists have developed a new technique using light to detect signaling molecule secretion from individual cells, allowing for the simultaneous analysis of cell behavior over time. This enables early detection of diseases such as cancer and blood clots, which is critical for improving survival rates.
Researchers at Carnegie Mellon University have developed a new method that uses neural networks to analyze single cell RNA sequencing data, identifying key genes and cell subtypes. This approach enables the analysis of all cell types, providing a method for comparative analysis.
The Umeå University researchers created a method called Multi-directional Activity Control (MAC), which allows for real-time observation and control of cell signaling pathways. Using this technology, they successfully controlled the shuttling of proteins and organelles between different compartments in a single cell.
Researchers identified six main combinations of five Hoxd genes involved in digit development in mice, providing a higher resolution and clarity in understanding how architect genes orchestrate the rhythm of development. This study offers a new perspective on limb patterning motifs and could pave the way for future genetic work.
The Center for Sub-Cellular Genomics will develop new technologies to measure genomics elements at the scale of sub-cellular structures in single cells. This may enable new insights into neurogenerative and neuropsychiatric conditions, such as autism and Alzheimer's disease.
Lehigh University engineers aim to develop a lab-on-a-chip method for cancer screening using microwave technology to analyze single cell nuclei. The team uses microfluidic devices to capture and release cells, then applies high-frequency microwave energy to sense internal details.
Researchers from eight labs employed six different technologies to measure cell stiffness, bending, and viscosity. The study aimed to compare techniques and identify key differences for future diagnostic applications.
A new approach reveals how cells in developing embryos regulate their identity and determine their fate. The study identifies thousands of previously unknown regulatory elements used only in a subset of cells, providing insights into cellular development.
The Mesp1 gene plays a crucial role in cardiovascular lineage segregation and regional specification of the heart. Single-cell molecular profiling identified distinct populations of cardiac progenitors with unique molecular features associated with early lineage restriction and region-specific identity.
A research team from SUTD developed a highly accurate single cell level sorting technology using sound waves, which enables the isolation of rare cell populations in complex biological samples. This technology has the potential to advance precision medicine for cancer treatment by examining DNA mutations at single cell level.
The development of enhanced single cell genomics techniques by Bigelow Laboratory has revolutionized the study of microbes and their impact on the environment. These advancements have also led to increased accessibility and affordability for research and industrial communities.
Nader Pourmand's nanopipette technology wins $300,000 prize in NIH 'Follow that Cell' challenge, enabling repeated analysis of individual cells without disrupting their activity. The platform has vast potential applications, particularly in cancer and neurodegenerative disease research.
A new single-cell sequencing method, AccuSomatic Amplification for Single Cell Sequencing, has been developed to accurately detect somatic single nucleotide variations in single cells. This breakthrough technology eliminates errors in somatic SNV calls while maintaining detection sensitivity.
Researchers at OHSU developed a method for quickly mapping single cell genomes, expanding the analysis of cancerous tumors and other diseases. This breakthrough enables precise targeting of cancer cells, offering new avenues for personalized medicine.
A new technique called MATQ-seq increases the accuracy of detecting gene expression in single cells to 90%, allowing scientists to study how cancerous tumors begin and potentially uncover better treatments, diagnosis, and prevention strategies.
Researchers developed MEMOIR to record cellular histories in genomes, allowing them to analyze cell relationships, communication patterns, and influential events. The technique aids in understanding tissue and animal development, as well as the abnormal development of diseased tissues like tumors.
A new microfluidic method enables the encapsulation of individual cells within microgel capsules, reducing the size and increasing the specificity of control. This breakthrough has the potential to boost efficacy of cell-based therapies and tissue engineering by allowing for more precise targeting and survival of encapsulated cells.
Researchers Tim Stasevich and Brian Munsky are using sensitive microscopes and computational analysis to quantify protein expression in single cells. They aim to illuminate the hijacking of host cells by viruses, a process never before seen.
Researchers sequenced the genome of Gonium pectorale, a simple green algae, to understand how it evolved from a single cell into a multicellular organism. The study sheds light on the early stages of multicellularity and its significance in the evolution of life.
Biologist Anthony Gitter is using a $900,000 NSF CAREER award to develop new methods for analyzing complex biological data. He hopes to create more accurate models of gene and protein interactions by mapping out dynamic processes like the immune response.
Researchers at Carnegie Mellon University have successfully used acoustic tweezers to manipulate single cells in three dimensions, paving the way for precise 3D bioprinting of complex multicellular structures. This breakthrough could lead to new applications in regenerative medicine and tissue engineering.
Researchers created a device that moves single cells in three dimensions using surface acoustic waves, enabling precise manipulation and structure building. The technology has potential applications in regenerative medicine, neuroscience, tissue engineering, biomanufacturing, and cancer metastasis.
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.
A team at the DOE JGI has developed ProDeGe, a computational protocol for quick and automated removal of contaminant sequences from draft genomes. The tool classifies sequences as 'clean' or 'contaminant' and runs at a rate of 0.30 CPU core hours per megabase of sequence.
Researchers have developed a large-scale sequencing technique called Genome and Transcriptome Sequencing (G&T-seq) that reveals the unique genome sequence of a single cell and the activity of genes within that cell. The study found that when a cell loses or gains a copy of a chromosome, the genes in that region show decreased or in...
Researchers at Toyohashi University of Technology developed a novel cell-manipulation tool that can trap and release single cells in a parallel arrangement. The tool, consisting of hollow microprobes, works like micro fingers to pick up human cells.
Researchers at the Donald Danforth Plant Science Center used the world's largest single-celled organism, Caulerpa taxifolia, to investigate the nature of structure and form in plants. They found that different parts of the cell show distinctly different RNA patterns, which are also shared with land plants.
Researchers at Houston Methodist have created a handheld single-cell pipette that can accurately pick up individual cells using a modified pipette. The technology, known as the hSCP, has potential to revolutionize single-cell research and make it more accessible to biologists worldwide.
The NIH Follow that Cell Challenge seeks tools to monitor a cell's behavior and function over time, potentially leading to earlier diagnosis and improved therapies for diseases. The challenge aims to generate creative ideas and methods for following a single cell's behavior, using multiple integrated measures.
Researchers used a novel radioluminescence microscope to study single cells and found unexpected variation. The tool helps personalize radionuclide imaging by characterizing how radiotracers interact with cells.
Researchers at Duke University developed a chip-like device that can sort, store, and retrieve hundreds of thousands of individual living cells in minutes. This technology revolutionizes research by allowing fast and efficient control of individual cells, enabling the study of small but significant differences within populations.
A Stanford team decodes genetic instructions in embryonic cells, revealing how they transform into specialized cell types. They focus on lung cells, capturing precise gene activity at different stages of development, shedding light on alveolar type I and II cells' unique properties.
A new method allows for large-scale generation of high-quality human embryonic stem cells from excess IVF embryos, increasing the supply for potential therapies. This breakthrough method enables production of stem cells without destroying embryos, making it a significant step forward for stem cell research.
Researchers develop 'Swiss-Army-Knife' molecule to capture RNA from individual cells in their natural tissue environment. This non-invasive method allows for the analysis of how cell-to-cell chemical connections influence gene expression and protein production.