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Image informatics for studying signal transduction in cells interacting with 3D matrices

Author(s)
Tzeranis, Dimitrios S.; Guo, Jin; Chen, Chengpin; Yannas, Ioannis V.; Wei, Xunbin; So, Peter T. C.; ... Show more Show less
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.

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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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Abstract
Cells sense and respond to chemical stimuli on their environment via signal transduction pathways, complex networks of proteins whose interactions transmit chemical information. This work describes an implementation of image informatics, imaging-based methodologies for studying signal transduction networks. The methodology developed focuses on studying signal transduction networks in cells that interact with 3D matrices. It utilizes shRNA-based knock down of network components, 3D high-content imaging of cells inside the matrix by spectral multi-photon microscopy, and single-cell quantification using features that describe both cell morphology and cell-matrix adhesion pattern. The methodology is applied in a pilot study of TGFβ signaling via the SMAD pathway in fibroblasts cultured inside porous collagen-GAG scaffolds, biomaterials similar to the ones used clinically to induce skin regeneration. Preliminary results suggest that knocking down all rSMAD components affects fibroblast response to TGFβ1 and TGFβ3 isoforms in different ways, and suggest a potential role for SMAD1 and SMAD5 in regulating TGFβ isoform response. These preliminary results need to be verified with proteomic results that can provide solid evidence about the particular role of individual components of the SMAD pathway.
Date issued
2014-03
URI
http://hdl.handle.net/1721.1/97741
Department
Massachusetts Institute of Technology. Department of Biological Engineering; Massachusetts Institute of Technology. Department of Mechanical Engineering
Journal
Proceedings of SPIE--the International Society for Optical Engineering
Publisher
SPIE
Citation
Tzeranis, Dimitrios S., Jin Guo, Chengpin Chen, Ioannis V. Yannas, Xunbin Wei, and Peter T. C. So. “Image Informatics for Studying Signal Transduction in Cells Interacting with 3D Matrices.” Edited by Daniel L. Farkas, Dan V. Nicolau, and Robert C. Leif. Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XII (March 4, 2014).
Version: Author's final manuscript
ISSN
0277-786X

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