Spatial transcriptomics analysis allows the examination of the biological characteristics and spatial distribution of individual lung cells at a single-cell resolution. However, due to the presence of cavities in the alveoli of the lungs, it is challenging to section them for spatial transcriptomics experiments. Here, we present a protocol for acquiring high-quality fresh mouse lung spatial transcriptomics data. We describe steps for lung perfusion, acquiring frozen slices, collecting cDNA from lung sections, and data analysis. For complete details on the use and execution of this protocol, please refer to Jiang et al..
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http://dx.doi.org/10.1016/j.xpro.2023.102825 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Plant Biology, College of Biological Sciences, University of California, Davis, CA 95616.
Seeds are complex structures composed of three regions, embryo, endosperm, and seed coat, with each further divided into subregions that consist of tissues, cell layers, and cell types. Although the seed is well characterized anatomically, much less is known about the genetic circuitry that dictates its spatial complexity. To address this issue, we profiled mRNAs from anatomically distinct seed subregions at several developmental stages.
View Article and Find Full Text PDFCell Rep
January 2025
Department of Biology, Boston University, Boston, MA 02215, USA; Center for Neurophotonics, Boston University, Boston, MA 02215, USA; Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Center for Systems Neuroscience, Boston University, Boston MA 02215, USA. Electronic address:
Task learning involves learning associations between stimuli and outcomes and storing these relationships in memory. While this information can be reliably decoded from population activity, individual neurons encoding this representation can drift over time. The circuit or molecular mechanisms underlying this drift and its role in learning are unclear.
View Article and Find Full Text PDFJ Cancer Res Ther
December 2024
Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, P.R. China.
Background: Cryoablation induces antitumor immune responses. Spatial transcriptomic landscape technology has been used to determine the micron-level panoramic transcriptomics of tissue slices in situ.
Methods: The effects of cryoablation on the immune microenvironment in non-small cell lung cancer (NSCLC) were explored by comparing the Whole Transcriptome Atlas (WTA) panel of immune cells before and after cryoablation using the spatial transcriptomic landscape.
Discov Oncol
January 2025
Shandong University School of Medicine, 44 Wenhua Xi Road, Jinan, 250012, Shandong, China.
Introduction: With the increasing impact of hepatocellular carcinoma (HCC) on society, there is an urgent need to propose new HCC diagnostic biomarkers and identification models. Histone lysine lactylation (Kla) affects the prognosis of cancer patients and is an emerging target in cancer treatment. However, the potential of Kla-related genes in HCC is poorly understood.
View Article and Find Full Text PDFNat Rev Urol
January 2025
Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Spatial transcriptomics has emerged as a powerful tool for discerning the heterogeneity of the tumour microenvironment across various cancers, including renal cell carcinoma (RCC). Spatial transcriptomics-based studies conducted in clear-cell RCC (the only RCC subtype studied using this technique to date) have given insights into spatial interactions within this disease. These insights include the role of epithelial-to-mesenchymal transitioning, revealing proximity-dependent interactions between tumour cells, fibroblasts, interleukin-2-expressing macrophages and hyalinized regions.
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