HR: 1340h
AN: B13A-1051    [Abstracts]
TI: Development of Cellular Absorptive Tracers (CATs) for a Quantitative Characterization of the Complexity of Nanoscale Biological Systems
AU: * Choi, J
EM: fiam3620@hotmail.com
AF: University of Washington, Dept. of Electrical Engineering, Seattle, WA 98195 United States
AU: Saripalli, P
EM: Prasad.Saripalli@pnl.gov
AF: Pacific North National Laboratory, (PNNL), Richland, WA 99352 United States
AU: Meldrum, D
EM: deedee@ee.washington.edu
AF: University of Washington, Dept. of Electrical Engineering, Seattle, WA 98195 United States
AU: Lee, S
EM: slee@catholic.ac.kr
AF: Catholic University of Korea, Environmental Engineering Section, San 43-1, Yokkok-2Dong, Wonmi-Gu, Yokkokdong, 420-743 Korea, Republic of
AB: A new method is proposed in this study, which is entitled Cellular Absorptive Tracers (CATs; PNNL Invention Disclosure; Saripalli, P. 2001), to characterize the extent, location, and morphology of cell mass in microelectromechanical systems (MEMS), by preferentially absorbing into the living or lysed cells or adsorbing at the cell surfaces. The CATs were used to demonstrate their utility to quantitatively characterize the biomass, its location, and morphology in MEMS. A series of experiments had conducted, using different number/types of cells and morphologic distributions (e.g., concentrated vs. disperse) within the microenvironmental chamber. The experiments were conducted such that, simultaneously with CATs characterization, a number of metabolic parameters (such as oxygen, CO2, glucose, pH, methanol, formate and small molecule metabolites, etc.) also were measured by fluorescence microscopy (Lidstrom and Meldrum, Nature, 2003). Results of partition and transport experiments show that adsorption of a CAT molecule into the cellular mass results in its retardation during flow, which is a good measure of the biomass quantity and distribution. The molecules chosen were used to demonstrate their utility to quantitatively characterize the biomass, its location and morphology in MEMS. The results yield first-of-their-kind data sets relating metabolic parameters to location, heterogeneity, and morphology of cells. The data were used to obtain quantitative information needed for the characterization of biomass in MEMS, and to develop the theory relating the cellular phenomena of interest to cellular heterogeneity and morphology. The proposed research contributes a new set of tools for a rapid, noninvasive characterization of nano-scale biological systems.
DE: 0400 BIOGEOSCIENCES
SC: Biogeosciences [B]
MN: Fall Meeting 2005