Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Libraries
  3. MIT Theses
  4. Doctoral Theses
  5. Integrated experimental and computational analysis of intercellular communication with application to endometriosis

Integrated experimental and computational analysis of intercellular communication with application to endometriosis

Thumbnail Image
Download
Name

1080639262-MIT.pdf

Description
Full printable version
Size

16.44 MB

Format

Adobe PDF

Checksum (MD5)

6064eb49b22f3ae79e87c5a1ef749655

Author(s)
Hill, Abby Shuman
Advisor(s)
Douglas A. Lauffenburger.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
Cell-cell communication is critically important to the function of the immune system, allowing a systems-level determination of the appropriate type of immune response to a perturbation. The immune system has at its disposal multiple types of responses, some beneficial and others harmful, all of which require coordination among immune cells and between the immune system and non-immune tissue cells. In this thesis, we have explored the use of multiple experimental and computational methods to understand how intercellular communication shapes the immune response in health and disease. Applications of this work are primarily focused on endometriosis, a disease characterized by the presence of endometrial glands and stroma located outside of the uterus. Disease initiation (cell survival) and progression (including neovascularization and neurogenesis) are thought to depend on interactions with the immune system, particularly macrophages. We have investigated these interactions on several levels, using both clinical samples and 3D in vitro culture models. The model systems used here include endometrial stromal and epithelial cells as well as peripheral blood monocytes with which to study dynamic processes within either the eutopic endometrium or the endometriotic lesion environment.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 143-162).
Subjects
Biological Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
http://dspace.mit.edu/handle/1721.1/7582
Persistent DSpace Link
http://hdl.handle.net/1721.1/119971
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.