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The ability to profile proteins allows us to gain a deeper understanding of organization, regulation, and function of different biological systems. Many technologies are currently being used in order to accurately perform the protein profiling. Some of these technologies include mass spectrometry, microarray based analysis, and fluorescence microscopy. Deeper analysis of these technologies have demonstrated limitations which have taken away from either the efficiency or the accuracy of the results. The objective of this project was to develop a technology in which highly multiplexed single cell in situ protein analysis can be completed in a comprehensive manner without the loss of the protein targets. This was accomplished in the span of 3 steps which is referred to as the immunofluorescence cycle. Antibodies with attached fluorophores with the help of novel azide-based cleavable linker are used to detect protein targets. Fluorescence imaging and data storage procedures are done on the targets and then the fluorophores are cleaved from the antibodies without the loss of the protein targets. Continuous cycles of the immunofluorescence procedure can help create a comprehensive and quantitative profile of the protein. The development of such a technique will not only help us understand biological systems such as solid tumor, brain tissues, and developing embryos. But it will also play a role in real-world applications such as signaling network analysis, molecular diagnosis and cellular targeted therapies.
ContributorsGupta, Aakriti (Author) / Guo, Jia (Thesis director) / Liang, Jianming (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Currently, quantification of single cell RNA species in their natural contexts is restricted due to the little number of parallel analysis. Through this, we identify a method to increase the multiplexing capacity of RNA analysis for single cells in situ. Initially, RNA transcripts are found by using fluorescence in situ hybridization (FISH). Once imaging and data storage is completed, the fluorescence signal is detached through photobleaching. By doing so, the FISH is reinitiated to detect other RNA species residing in the same cell. After reiterative cycles of hybridization, imaging and photobleaching, the identities, positions and copy numbers of a huge amount of varied RNA species can be computed in individual cells in situ. Through this approach, we have evaluated seven different transcripts in single HeLa cells with five reiterative RNA FISH cycles. This method has the ability to detect over 100 varied RNA species in single cells in situ, which can be further applied in studies of systems biology, molecular diagnosis and targeted therapies.
ContributorsJavangula, Saiswathi (Author) / Guo, Jia (Thesis director) / Liang, Jianming (Committee member) / School of Molecular Sciences (Contributor) / School of Nutrition and Health Promotion (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12