From structure to function : learning principles of tissue behavior from architecture

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Abstract/Contents

Abstract
Immunological processes occur in microenvironments; local milieus of cells, molecules and other factors that drive and tune the process of interest. If an immunological process is essential, its microenvironment will develop into a more complex tissue structure. Tissue imaging lets us observe these structures directly and the new wave of highly multiplexed imaging platforms paints their cellular and molecular composition in unprecedented detail. Early highly-multiplexed tissue imaging data revealed that the microenvironments in healthy and diseased tissues were much more diverse and complex than we had anticipated. This presents the opportunity to develop new classes of therapeutics and biomarkers targeting microenvironments rather than molecules. However, first we must improve our ability to interpret the biology underlying the complex structure of tissue microenvironments. We developed a framework for using spatial data to elucidate the specific tissue behavior and misbehavior of disease processes while also learning general principles, such as how tissues reuse useful programs or are co-opted by malignancy. Here, we introduce a theoretical biological model of tissue behavior and an accompanying computational framework, termed Tissue Schematics. We develop and apply this framework in human lymphoid tissue, the immune tumor microenvironment, and autoimmune type 1 diabetes. Lastly, we discuss how the computational analyses will lead to hypothesis-driven experimentation. This framework aids in generating hypotheses surrounding disease origins and avenues for early diagnostics and therapies.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2022; ©2022
Publication date 2022; 2022
Issuance monographic
Language English

Creators/Contributors

Author Barlow, Graham Larson
Degree supervisor Bollyky, Paul
Degree supervisor Nolan, Garry P
Thesis advisor Bollyky, Paul
Thesis advisor Nolan, Garry P
Thesis advisor Bendall, Sean, 1979-
Thesis advisor Meyer, Everett
Degree committee member Bendall, Sean, 1979-
Degree committee member Meyer, Everett
Associated with Stanford University, Department of Microbiology and Immunology

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Graham Larson Barlow.
Note Submitted to the Department of Microbiology and Immunology.
Thesis Thesis Ph.D. Stanford University 2022.
Location https://purl.stanford.edu/jz222mm9410

Access conditions

Copyright
© 2022 by Graham Larson Barlow
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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