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Description
Single-cell proteomics and transcriptomics analysis are crucial to gain insights of

healthy physiology and disease pathogenesis. The comprehensive profiling of biomolecules in individual cells of a heterogeneous system can provide deep insights into many important biological questions, such as the distinct cellular compositions or regulation of inter- and intracellular signaling pathways

Single-cell proteomics and transcriptomics analysis are crucial to gain insights of

healthy physiology and disease pathogenesis. The comprehensive profiling of biomolecules in individual cells of a heterogeneous system can provide deep insights into many important biological questions, such as the distinct cellular compositions or regulation of inter- and intracellular signaling pathways of healthy and diseased tissues. With multidimensional molecular imaging of many different biomarkers in patient biopsies, diseases can be accurately diagnosed to guide the selection of the ideal treatment.

As an urgent need to advance single-cell analysis, imaging-based technologies have been developed to detect and quantify multiple DNA, RNA and protein molecules in single cell in situ. Novel fluorescent probes have been designed and synthesized, which targets specifically either their nucleic acid counterpart or protein epitopes. These highly multiplexed imaging-based platforms have the potential to detect and quantify 100 different protein molecules and 1000 different nucleic acids in a single cell.

Using novel fluorescent probes, a large number of biomolecules have been detected and quantified in formalin-fixed paraffin-embedded (FFPE) brain tissue at single-cell resolution. By studying protein expression levels, neuronal heterogeneity has been revealed in distinct subregions of human hippocampus.
ContributorsMondal, Manas (Author) / Guo, Jia (Thesis advisor) / Gould, Ian (Committee member) / Ros, Alexandra (Committee member) / Arizona State University (Publisher)
Created2018
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Description
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

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