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Abstract: Earlier detection of diseases, such as cancer, often leads to improved prognosis. Therefore, the ability to efficiently, accurately, sensitively, and non-invasively screen for cancer at the earliest stages possible is of paramount importance. Furthermore, a better understanding of the basic biology of molecular mechanisms, cellular pathways, and cellular heterogeneity may lead to more pe... read morersonalized and efficient therapies. In order to achieve this task and to also detect rare cells that may also enable earlier disease detection, specific biomarkers must be studied at single molecule resolution within individual cells. This thesis focuses on the detection of protein biomarkers at ultralow levels in serum for early cancer detection and for fundamental single cell studies using single molecule protein counting technology. This thesis describes the technology, single molecule arrays (SiMoA), that is utilized throughout the included works and discusses the fundamental kinetics behind the method. Chapter 3 describes how a biomarker can be detected at ultralow concentrations in serum prior to palpable tumor formation using a mouse model, indicating the utility of SiMoA as an early cancer detection tool. Chapter 4 describes the use of SiMoA in a panel of breast cancer protein biomarkers and examines the utility of these biomarkers in detecting early stage breast cancer from serum samples by using supervised multivariate regression models. Chapter 5 demonstrates the use of SiMoA technology as a straightforward approach for counting single protein molecules within single cells. Chapter 6 includes work towards creating a breast cancer mouse model for studying early cancer progression. One appendix is included that includes detailed patient information relevant to Chapter 4.
Thesis (Ph.D.)--Tufts University, 2015.
Submitted to the Dept. of Chemistry.
Advisor: David Walt.
Committee: Samuel Thomas, Joshua Kritzer, and Marsha Moses.
Keywords: Chemistry, and Analytical chemistry.read less
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