Publications by authors named "L V Shulga"
Article Synopsis
- Biological aging involves a gradual loss of homeostasis in molecular and cellular functions, particularly in the brain, which contains diverse cell types that differ in their aging resilience.
- This study offers an extensive single-cell RNA sequencing dataset of approximately 1.2 million transcriptomes from brain cells in young and aged mice, identifying 847 cell clusters and 14 age-biased clusters predominantly involving glial types.
- Key findings reveal specific gene expression changes with aging, including decreased neuronal function genes and increased immune-related genes, particularly in cells around the third ventricle of the hypothalamus, suggesting its critical role in the aging process of the mouse brain.
Image-based spatial transcriptomics platforms are powerful tools often used to identify cell populations and describe gene expression in intact tissue. Spatial experiments return large, high-dimension datasets and several open-source software packages are available to facilitate analysis and visualization. Spatial results are typically imperfect.
View Article and Find Full Text PDFWe present an enhancer AAV toolbox for accessing and perturbing striatal cell types and circuits. Best-in-class vectors were curated for accessing major striatal neuron populations including medium spiny neurons (MSNs), direct and indirect pathway MSNs, as well as Sst-Chodl, Pvalb-Pthlh, and cholinergic interneurons. Specificity was evaluated by multiple modes of molecular validation, three different routes of virus delivery, and with diverse transgene cargos.
View Article and Find Full Text PDFArticle Synopsis
- Researchers addressed the limited access to lower motor neurons (LMNs) in the mammalian spinal cord by creating single cell multiome datasets from mouse and macaque spinal cords to identify enhancers for different neuronal populations.* -
- They cloned identified enhancers into viral vectors and conducted functional tests in mice to screen for effective candidates, which were then validated in rats and macaques.* -
- This new toolkit for labeling LMNs and upper motor neurons (UMNs) can facilitate future research on cell function across species and contribute to potential therapies for neurodegenerative diseases in humans.*
Article Synopsis
- The mammalian cortex consists of different cell types that have specific properties, which are important for understanding how the cortex functions in both health and disease.
- Researchers utilized data from mouse and human studies to identify marker genes and enhancers for various cortical cell types, creating a comprehensive set of tools for targeting these cells specifically.
- They introduced fifteen new transgenic driver lines, two new reporter lines, and over 800 enhancer AAVs, facilitating a wide range of experimental approaches to study the mammalian cortex and its functions.