Cell type-specific labelling and manipulation using Cre-driver lines have become integral to analyses of neuronal circuits in the brain. To study how mitral cells of the olfactory bulb process olfactory information and how they contribute to behavior, an inducible Cre-driver line, Lbhd2-CreER, can be used. In this chapter, we describe two methods for administering tamoxifen. The first method achieves a dense recombination pattern using tamoxifen-containing food, while the second method involving an intraperitoneal injection is suited for sparse labelling.
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http://dx.doi.org/10.1007/978-1-0716-3425-7_14 | DOI Listing |
Sci Rep
January 2025
College of Computer Sciences, Anhui University, Hefei, 230039, China.
Decoding the semantic categories of complex sceneries is fundamental to numerous artificial intelligence (AI) infrastructures. This work presents an advanced selection of multi-channel perceptual visual features for recognizing scenic images with elaborate spatial structures, focusing on developing a deep hierarchical model dedicated to learning human gaze behavior. Utilizing the BING objectness measure, we efficiently localize objects or their details across varying scales within scenes.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom.
Background: Knowledge of the chemical composition of amyloid plaques and tau tangles at the earlier stages of Alzheimer's disease (AD) pathology is sparse. This is due to limited access to human brain during life and at the earlier stages of AD pathophysiology and technical limitations in quantifying amyloid and tau species at a subcellular level. Understanding the chemical composition of plaques and tangles, how rapidly they grow and what factors drive growth is important for developing and refining therapeutics.
View Article and Find Full Text PDFMol Syst Biol
January 2025
MRC Human Genetics Unit, Institute of Genetics & Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK.
Single cells are typically typed by clustering into discrete locations in reduced dimensional transcriptome space. Here we introduce Stator, a data-driven method that identifies cell (sub)types and states without relying on cells' local proximity in transcriptome space. Stator labels the same single cell multiply, not just by type and subtype, but also by state such as activation, maturity or cell cycle sub-phase, through deriving higher-order gene expression dependencies from a sparse gene-by-cell expression matrix.
View Article and Find Full Text PDFSci Rep
January 2025
College of Computer Science and Technology, Changchun University, Changchun, 130022, China.
Diabetes prediction is an important topic in the field of medical health. Accurate prediction can help early intervention and reduce patients' health risks and medical costs. This paper proposes a data preprocessing method, including removing outliers, filling missing values, and using sparse autoencoder (SAE) feature enhancement.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Department of Cell and Molecular Biology, Karolinska Institute, Stockholm, Sweden.
Lineage tracing methods enable the identification of all progeny generated by a single cell. High-throughput lineage tracing in the mammalian brain involves parallel labeling of thousands of progenitor cells with genetic barcodes in vivo followed by single-cell RNA-seq of lineage relations and cell types. Here we describe the generation of barcoded lentivirus, microinjections into the embryonic day 9.
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