Measuring compositional and growth properties of single cells

The physical properties of a cell are manifestations of its most basic molecular and metabolic processes. In particular, size has been a sought metric, which can be difficult to ascertain with great resolution or for smaller organisms. The advancement of single-cell measurement techniques and the understanding of cell-to-cell variability have renewed the interest in size characterization. In addition, knowledge of how individual cells grow and coordinate their growth with the cell cycle is of fundamental interest to understanding cell development, but various approaches for describing cellular growth patterns have often reached irreconcilable conclusions. In this thesis, a highly sensitive microfabricated single-cell mass sensor - the suspended microchannel resonator - is used to demonstrate cellular growth measurements by mass accumulation for several microorganism, ranging from bacterial cells to eukaryotes and mammalian cells. From those measurements insights about cellular growth are derived, demonstrating that larger cells grow faster than smaller ones, consistent with exponential-like growth patterns and incompatible with linear growth models. Subsequently, the implementation of mechanical traps as means to optimize existing sensors is presented and the techniques are applied to the measurement of total mass, density and volume at the single-cell level. Finally, a method is introduced to quantify cellular dry mass, dry density and water content. It is based on weighing the same cell first in a water-based fluid and subsequently in a deuterium oxide-based fluid, which rapidly exchanges the intracellular water content. Correlations between dry density and cellular proliferation and composition are described. Dry density is described as a quantitative index that correlates with proliferation and cellular chemical composition.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Biological Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2013

Author dc:creator

• Delgado, Francisco Feijó

Advisor dc:contributor.advisor

• Scott R. Manalis.

• Biological Engineering.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/81666

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/81666