SIMMETRIX, INC. — Department of Health and Human Services STTR Phase I: 102

Description

Project Summary Tractions exerted by individual cells on their surroundings play a critical role in mechanical events in biology such as tissue contraction folding cell shape changes or cell movements and in many basic cellular functions such as biochemical signaling proliferation and differentiation These processes are in turn implicated in the progression of diseases like cancer atherosclerosis and other chronic fibrotic conditions Recently this remarkable link has been utilized to develop exciting new therapeutic interventions that rely on disrupting mechano signaling machinery within the cell and the pathways that lead to the remodeling of the extra cellular matrix ECM Techniques that can precisely quantify the spatial variation and heterogeneity of cellular traction within and between cells have found important applications in understanding and controlling these processes Of these three dimensional traction force microscopy D TFM has emerged as a particularly valuable tool since it is applied to cells embedded in a three dimensional ECM the natural state for most cells Current D TFM approaches are challenged by the critical steps of using optical images to generate a D geometrical model of the matrix surrounding the cell and inferring cellular tractions from displacement estimates of micro beads embedded in the matrix Approximations incurred in these steps lead to significant errors in computed tractions that in turn lead to erroneous biological conclusions Thus there is critical need to develop more accurate and high resolution D TFM techniques The long term objective of the proposed research is to improve and automate the D TFM process so that it can be effectively used to answer mechanobiological questions and design new therapeutic interventions This will be accomplished by a applying advanced segmentation and mesh generation techniques to optical images to generate D geometric models and finite element meshes of the matrix surrounding a cell and b by developing and implementing new algorithms to determine the spatial distribution of cellular tractions from measured micro beads displacements while accounting the nonlinear elastic response of the matrix These developments will be validated through benchmark studies and their utility will be demonstrated by quantifying the traction exerted by cancer cells embedded in a synthetic extracellular matrix Project Narrative Tractions exerted by individual cells on their surroundings play a critical role in mechanical events in biology such as tissue contraction and folding and in many basic cellular functions such as biochemical signaling proliferation and differentiation which are implicated in the progression of diseases like cancer atherosclerosis and other chronic fibrotic conditions Recently this remarkable link has been utilized to develop exciting new therapeutic interventions that rely on disrupting mechano signaling machinery within the cell and the pathways that lead to the remodeling of the extra cellular matrix ECM The long term objective of the proposed research is to improve and automate techniques to quantify cellular tractions that can be used to better understand the role of tractions in biomechanical signaling and in the design new therapeutic interventions that target these pathways