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In an effort to begin validating the large number of discovered candidate biomarkers, proteomics is beginning to shift from shotgun proteomic experiments towards targeted proteomic approaches that provide solutions to automation and economic concerns. Such approaches to validate biomarkers necessitate the mass spectrometric analysis of hundreds to thousands of human

In an effort to begin validating the large number of discovered candidate biomarkers, proteomics is beginning to shift from shotgun proteomic experiments towards targeted proteomic approaches that provide solutions to automation and economic concerns. Such approaches to validate biomarkers necessitate the mass spectrometric analysis of hundreds to thousands of human samples. As this takes place, a serendipitous opportunity has become evident. By the virtue that as one narrows the focus towards "single" protein targets (instead of entire proteomes) using pan-antibody-based enrichment techniques, a discovery science has emerged, so to speak. This is due to the largely unknown context in which "single" proteins exist in blood (i.e. polymorphisms, transcript variants, and posttranslational modifications) and hence, targeted proteomics has applications for established biomarkers. Furthermore, besides protein heterogeneity accounting for interferences with conventional immunometric platforms, it is becoming evident that this formerly hidden dimension of structural information also contains rich-pathobiological information. Consequently, targeted proteomics studies that aim to ascertain a protein's genuine presentation within disease- stratified populations and serve as a stepping-stone within a biomarker translational pipeline are of clinical interest. Roughly 128 million Americans are pre-diabetic, diabetic, and/or have kidney disease and public and private spending for treating these diseases is in the hundreds of billions of dollars. In an effort to create new solutions for the early detection and management of these conditions, described herein is the design, development, and translation of mass spectrometric immunoassays targeted towards diabetes and kidney disease. Population proteomics experiments were performed for the following clinically relevant proteins: insulin, C-peptide, RANTES, and parathyroid hormone. At least thirty-eight protein isoforms were detected. Besides the numerous disease correlations confronted within the disease-stratified cohorts, certain isoforms also appeared to be causally related to the underlying pathophysiology and/or have therapeutic implications. Technical advancements include multiplexed isoform quantification as well a "dual- extraction" methodology for eliminating non-specific proteins while simultaneously validating isoforms. Industrial efforts towards widespread clinical adoption are also described. Consequently, this work lays a foundation for the translation of mass spectrometric immunoassays into the clinical arena and simultaneously presents the most recent advancements concerning the mass spectrometric immunoassay approach.
ContributorsOran, Paul (Author) / Nelson, Randall (Thesis advisor) / Hayes, Mark (Thesis advisor) / Ros, Alexandra (Committee member) / Williams, Peter (Committee member) / Arizona State University (Publisher)
Created2011
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Description
The highly predictable structural and thermodynamic behavior of deoxynucleic acid (DNA) and ribonucleic acid (RNA) have made them versatile tools for creating artificial nanostructures over broad range. Moreover, DNA and RNA are able to interact with biological ligand as either synthetic aptamers or natural components, conferring direct biological functions to

The highly predictable structural and thermodynamic behavior of deoxynucleic acid (DNA) and ribonucleic acid (RNA) have made them versatile tools for creating artificial nanostructures over broad range. Moreover, DNA and RNA are able to interact with biological ligand as either synthetic aptamers or natural components, conferring direct biological functions to the nucleic acid devices. The applications of nucleic acids greatly relies on the bio-reactivity and specificity when applied to highly complexed biological systems.

This dissertation aims to 1) develop new strategy to identify high affinity nucleic acid aptamers against biological ligand; and 2) explore highly orthogonal RNA riboregulators in vivo for constructing multi-input gene circuits with NOT logic. With the aid of a DNA nanoscaffold, pairs of hetero-bivalent aptamers for human alpha thrombin were identified with ultra-high binding affinity in femtomolar range with displaying potent biological modulations for the enzyme activity. The newly identified bivalent aptamers enriched the aptamer tool box for future therapeutic applications in hemostasis, and also the strategy can be potentially developed for other target molecules. Secondly, by employing a three-way junction structure in the riboregulator structure through de-novo design, we identified a family of high-performance RNA-sensing translational repressors that down-regulates gene translation in response to cognate RNAs with remarkable dynamic range and orthogonality. Harnessing the 3WJ repressors as modular parts, we integrate them into biological circuits that execute universal NAND and NOR logic with up to four independent RNA inputs in Escherichia coli.
ContributorsZhou, Yu (Ph.D.) (Author) / Yan, Hao (Thesis advisor) / Green, Alexander (Thesis advisor) / Woodbury, Neal (Committee member) / Ros, Alexandra (Committee member) / Arizona State University (Publisher)
Created2019
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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
Understanding cellular processes can provide insight into disease pathogenesis and reveal critical information for prevention, diagnosis, and treatment. As key executors and signaling regulators, proteins carry relevant information not available from genomics and transcriptomics. Cell-to-cell differences significantly affect disease incidence and drug responses, generating a need for protein analysis at

Understanding cellular processes can provide insight into disease pathogenesis and reveal critical information for prevention, diagnosis, and treatment. As key executors and signaling regulators, proteins carry relevant information not available from genomics and transcriptomics. Cell-to-cell differences significantly affect disease incidence and drug responses, generating a need for protein analysis at the single-cell level. However, quantitative protein analysis at the single-cell level remains challenging due to the low protein amount in a single cell and the proteome complexity. It requires sensitive detection techniques and appropriate sample preparation and delivery to the detection area. Here, a microfluidic platform in tandem with matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) has been developed for targeted intracellular protein analysis. The elastomeric multi-layer microfluidic platform, termed MIMAS, was designed as a series of 8.75 nL wells separated by pneumatic valves. The MIMAS platform allows cell loading, sample processing on-chip, and further in situ mass spectrometry analysis. The sample processing includes cell lysis, immunocapture, tryptic digestion and MALDI matrix solution loading for co-crystallization. This work demonstrates that the MIMAS approach is suitable for protein quantification by assessing the apoptotic protein Bcl-2 from MCF-7 breast cancer cells using an isotope-labeled peptide. The limit of detection was determined as 11.22 nM, equivalent to 5.91 x 10^7 protein molecules per well. Moreover, the MIMAS platform design was improved, allowing the successful quantification of Bcl-2 protein in small cell ensembles down to ~10 cells in 4 nL wells. Furthermore, the MIMAS platform was integrated with laser capture microdissection (LCM) for protein analysis from post-mortem human tissues. Intracellular amyloid-β peptide (Aβ), a hallmark of Alzheimer’s Disease, was assessed from human brain tissue using the LCM-MIMAS. The successful detection of Aβ from small cell ensembles (20 sliced pyramidal cells) demonstrated the LCM-MIMAS capability of assessing intracellular proteins from specific tissue cell subpopulations. The MIMAS approach is a promising tool for intracellular protein analysis from small cell ensembles, with the potential for single-cell analysis. It allows for protein analysis towards the understanding of biological phenomena for clinical and biological research.
ContributorsCruz Villarreal, Jorvani (Author) / Ros, Alexandra (Thesis advisor) / Borges, Chad R (Committee member) / Buttry, Daniel (Committee member) / Arizona State University (Publisher)
Created2022