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The Development and Implementation o...

Schubert, Stephanie Mae.

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The Development and Implementation of Single Molecule Protein Assays for Applications in Early Cancer Diagnostics and Single Cell Studies.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Development and Implementation of Single Molecule Protein Assays for Applications in Early Cancer Diagnostics and Single Cell Studies./
作者:	Schubert, Stephanie Mae.
面頁冊數:	172 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
Contained By:	Dissertation Abstracts International76-10B(E).
標題:	Chemistry. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3704617
ISBN:	9781321771725

The Development and Implementation of Single Molecule Protein Assays for Applications in Early Cancer Diagnostics and Single Cell Studies.
Schubert, Stephanie Mae.

The Development and Implementation of Single Molecule Protein Assays for Applications in Early Cancer Diagnostics and Single Cell Studies. - 172 p.

Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.

Thesis (Ph.D.)--Tufts University, 2015.

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 personalized 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.

ISBN: 9781321771725Subjects--Topical Terms:

516420
Chemistry.

The Development and Implementation of Single Molecule Protein Assays for Applications in Early Cancer Diagnostics and Single Cell Studies.
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245 1 4 $a The Development and Implementation of Single Molecule Protein Assays for Applications in Early Cancer Diagnostics and Single Cell Studies.
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500 $a Source: Dissertation Abstracts International, Volume: 76-10(E), Section: B.
500 $a Adviser: David R. Walt.
502 $a Thesis (Ph.D.)--Tufts University, 2015.
520 $a 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 personalized 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.
520 $a 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.
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650 4 $a Analytical chemistry. $3 3168300
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