Researchers at the Allen Institute have mapped the mouse brain's neural connections, revealing an underlying hierarchy of brain circuitry. The study provides a detailed view of how neurons communicate with each other and offers insights into diseases such as Alzheimer's and schizophrenia.
A new study has created the most detailed 'parts list' of the human brain to date, revealing crucial differences between human and mouse brain cells that could explain why many drugs don't work in humans. The study highlights key changes in gene expression related to serotonin receptors and neuron connections.
A large-scale study has categorized over 20 different brain cell types in mice based on their shape and electrical behavior, offering new insights into the brain's cellular diversity. The research paves the way for a better understanding of human brain disorders and diseases by providing a comprehensive dataset for future investigations.
Researchers at the Allen Institute have created the largest single-cell database of mammal organ development, tracing gene expression from a single cell to fully formed organs. The study provides valuable insights into human biology and developmental diseases, with potential applications in understanding common adult diseases.
Neuroscientists at the Allen Institute have sorted brain cells from the cerebral cortex into 133 different cell types based on their gene expression patterns. This comprehensive study provides a detailed catalog of brain cell types and lays the groundwork for understanding their functions.
The Paul G. Allen Frontiers Group has awarded $13.5 million to 10 researchers studying lymphoma, neuroimmunology, nuclear biophysics, and brain cell function. These studies aim to shed light on Alzheimer's disease and develop new treatments for blood cancers.
Scientists developed a machine learning technique to predict human cell organization using only black and white images generated by brightfield microscopy. This allows for the exploration of cellular structures in ways that were previously impossible, particularly in live cells.
Researchers discover a new type of human brain cell that has never been seen in mice and other laboratory animals. These 'rosehip neurons' may play a role in fine-level control between regions of the human brain, and their absence in rodents suggests difficulties in modeling human brain diseases.
Scientists at Allen Institute and University of Washington developed scalable SPLiT-seq method to characterize RNA in individual cells, enabling identification of various cell types in the brain. The technique significantly lowers the cost barrier for labs that want to perform single-cell profiling.
Researchers have developed comprehensive computer models of cortical neurons that accurately replicate their activity. These models can be used to understand how different cell types differ from one another and may eventually be applied to model neurological disorders such as epilepsy or Alzheimer's disease.
Researchers designed UltraTracer to work with existing algorithms, turbo-charging them for faster processing and larger datasets. The software can compare tens of thousands of neuron shapes to better understand cell types.
Researchers have created a detailed molecular atlas of primate brain development, revealing key differences between humans and our close evolutionary relatives. The study provides insights into the genetic code underlying brain development and neuropsychiatric diseases.
The Allen Institute has released a comprehensive dataset on the aging brain and traumatic brain injury, providing unprecedented access to data on over 100 aged brains. Researchers can explore this unique resource to identify molecular signatures of disease and develop novel diagnostic strategies.
Researchers have mapped the largest network of cortical neurons to date, shedding light on how brain circuits are organized. The study reveals modular architecture and functional specific connectivity between neurons, enabling reverse engineering of the brain's structure and function.
The Allen Institute will reconstruct over 1,000 brain connections using electron microscopes and machine learning algorithms. The project aims to advance artificial intelligence by reverse-engineering the brain's algorithms.
Researchers at the Allen Institute for Brain Science have developed a taxonomy of cells in the mouse visual cortex based on single-cell gene expression, identifying 42 neuronal and 7 non-neuronal cell types. This study provides a basic understanding of brain function by categorizing cellular building blocks.
Researchers identified a conserved set of gene expression patterns common to all individuals, providing key insights into the core genetic code that makes our brains human. These patterns include those associated with diseases like autism and Alzheimer's, offering new opportunities for therapeutic targeting.
The Paul G. Allen Family Foundation has awarded $7 million to five research teams to investigate the fundamental causes of Alzheimer's disease. The projects will focus on uncovering the biological roots of the disease, including gene combinations, white matter damage, and pH levels.
The Paul G. Allen Family Foundation has partnered with the Alzheimer's Association to award three grants totaling $500,000 to study the role of inflammation on characteristic plaques and tangles of devastating brain disease. Researchers aim to better understand the interactions between the immune system and Alzheimer's pathologies.
The Ivy Glioblastoma Atlas Project provides valuable resources for researchers to find cures for aggressive brain cancers, offering detailed information about genes and tumor formation. The atlas aims to advance understanding of glioblastoma biology and lead to novel approaches to improve treatment and survival.
The Allen Institute for Cell Science will create dynamic, visual models of cell behavior and share reagents, data, and tools with the scientific community. The initial project, Allen Cell Observatory, aims to accelerate disease research by predicting cell behaviors.
A new study reveals that a mutation in the Timothy syndrome gene causes abnormal brain circuitry by retraction of dendrites in response to neural activity, leading to cognitive impairment. The finding may have implications for understanding neurodevelopmental disorders such as autism, bipolar disorder, and schizophrenia.
The study reveals that human brains are more similar than different, with the same basic molecular blueprint across individuals. Key findings include regional similarity in biochemistry, homogeneous cortex structure, and widespread gene expression across brain areas.
Researchers analyzed 1,000 genes in human and mouse brains, finding high similarity and only 5% difference among humans. The dataset offers insights into neural evolution, cell-to-cell communication, and species-specific functions.
The Allen Institute for Brain Science will double its staff to launch three new initiatives tackling fundamental brain questions: information encoding, cellular building blocks, and circuit development. New funding enables expansion and acceleration of global neuroscience research.
The Allen Institute for Brain Science has launched a new brain atlas resource, the Allen Mouse Brain Connectivity Atlas, which provides a three-dimensional map of neural connections throughout the mouse brain. The Atlas will help scientists understand how the brain is wired and what goes awry in brain diseases and disorders.
A new class of stem cell-like radial glial cells has been identified in the spinal cord, which may offer a fresh avenue for therapies to treat spinal cord injury and disease. These cells were discovered using the Allen Spinal Cord Atlas and display a unique progenitor phenotype.
Scientists at the Allen Institute have identified complex cellular patterns in brain development, suggesting multiple mechanisms beyond Reelin involved in proper neuron migration. The findings have major implications for understanding brain disorders like autism.
Researchers at the Allen Institute have published a comprehensive study on the effects of sleep deprivation on gene expression in the mouse brain. The findings reveal novel genes and brain areas affected by sleep deprivation, providing potential targets for therapeutic intervention.
A new study found that gene activity patterns in the brain differ significantly among individuals with varying genetic backgrounds. The study, published in PNAS, mapped gene expression across 49 genes in seven genetically distinct mouse groups, revealing localized differences in gene activity.