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Spatial Omics: Methods for Reconstructing the Spatial Heterogeneity of Biological Tissue is a complete and detailed reference on research methods that combine the in-depth analysis at single cell level with context provided by tissue positioning. The methods covered in the book include Methods that require the mechanical tissue retrieval, digestion and enrichment, Methods based on in situ hybridization and imaging, Methods reliant on next generation sequencing and hybrid techniques, and Computational based methods to determine spatial relatedness of cells. Technologies are focused on the balance between sensitivity, accuracy, and extent of features through which single cells can be evaluated, and more.
Cellular and molecular biologists will benefit from the detailed experimental setup information included in this comprehensive book. Computational biologists and computer scientists involved in biological visualization problems can also use this book as a guide to interpret and analyze experimental data.
- Covers the methods currently available to reconstruct the spatial heterogeneity of biological tissues
- Provides all methods, including detailed and expansive templates on materials, equipment and steps involved to execute the experiments
- Authored by researchers from key laboratories around the world who pioneered techniques covered
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Informazioni sull?autore
Dr. McGourty is a lecturer in the Chemical Sciences department at the University of Limerick (UL). Kieran undertook his undergraduate studies at UL, in Industrial Biochemistry, where he worked with Dr. Jakki Cooney and Dr. Todd Kagawa. In 2006, motivated by these experiences, he went on to attain a Wellcome Trust funded PhD working with Prof. David Holden FRS, Imperial College London, studying the molecular basis of infection. During this time, Kieran published several high impact papers on the intracellular interaction of Salmonella Typhimurium with the host before changing field from cellular microbiology to cell biology.
His research group primarily focusses on the architectures of both diseased and healthy tissues. They are particularly interested in understanding the molecular mechanisms behind cellular quiescence, proliferation, and differentiation and how these fundamental cellular behaviors can be governed by microenvironmental interaction. This research focus is a culmination of his research experience to date in some of the world’s top institutions and utilizes a multidisciplinary combination of approaches, including multidimensional spatial ‘omics’ analysis, image cytometry, biomechanical characterization, flow cytometry and in vitro scaffold design in addition to standard biochemistry.
Dalla quarta di copertina
Spatial Omics: Methods for reconstructing the spatial heterogeneity of biological tissue is a complete and detailed reference on research methods that combine the in-depth analysis at single cell level with context provided by tissue positioning.
The methods covered in the book can be grouped into four major themes including: Methods that require the mechanical tissue retrieval, digestion and enrichment; Methods based on in situ hybridization and imaging; Methods reliant on next generation sequencing and hybrid techniques; and Computational based methods to determine spatial relatedness of cells. The technologies are focused on the balance between sensitivity, accuracy, and extent of features through which single cells can be evaluated (in-depth analysis), the throughput of cell processing and to what resolution they can be referred spatially (width analysis).
Cellular and Molecular biologists will benefit from the derailed experimental setup information included in Spatial Omics: Methods for reconstructing the spatial heterogeneity of biological tissue. Computational Biologists and, Computer Scientists involved in biological visualization problems can use this book as a guide to interpret and analyze experimental data.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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