Matching Items (72)
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Description
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
Signal processing techniques have been used extensively in many engineering problems and in recent years its application has extended to non-traditional research fields such as biological systems. Many of these applications require extraction of a signal or parameter of interest from degraded measurements. One such application is mass spectrometry immunoassay

Signal processing techniques have been used extensively in many engineering problems and in recent years its application has extended to non-traditional research fields such as biological systems. Many of these applications require extraction of a signal or parameter of interest from degraded measurements. One such application is mass spectrometry immunoassay (MSIA) which has been one of the primary methods of biomarker discovery techniques. MSIA analyzes protein molecules as potential biomarkers using time of flight mass spectrometry (TOF-MS). Peak detection in TOF-MS is important for biomarker analysis and many other MS related application. Though many peak detection algorithms exist, most of them are based on heuristics models. One of the ways of detecting signal peaks is by deploying stochastic models of the signal and noise observations. Likelihood ratio test (LRT) detector, based on the Neyman-Pearson (NP) lemma, is an uniformly most powerful test to decision making in the form of a hypothesis test. The primary goal of this dissertation is to develop signal and noise models for the electrospray ionization (ESI) TOF-MS data. A new method is proposed for developing the signal model by employing first principles calculations based on device physics and molecular properties. The noise model is developed by analyzing MS data from careful experiments in the ESI mass spectrometer. A non-flat baseline in MS data is common. The reasons behind the formation of this baseline has not been fully comprehended. A new signal model explaining the presence of baseline is proposed, though detailed experiments are needed to further substantiate the model assumptions. Signal detection schemes based on these signal and noise models are proposed. A maximum likelihood (ML) method is introduced for estimating the signal peak amplitudes. The performance of the detection methods and ML estimation are evaluated with Monte Carlo simulation which shows promising results. An application of these methods is proposed for fractional abundance calculation for biomarker analysis, which is mathematically robust and fundamentally different than the current algorithms. Biomarker panels for type 2 diabetes and cardiovascular disease are analyzed using existing MS analysis algorithms. Finally, a support vector machine based multi-classification algorithm is developed for evaluating the biomarkers' effectiveness in discriminating type 2 diabetes and cardiovascular diseases and is shown to perform better than a linear discriminant analysis based classifier.
ContributorsBuddi, Sai (Author) / Taylor, Thomas (Thesis advisor) / Cochran, Douglas (Thesis advisor) / Nelson, Randall (Committee member) / Duman, Tolga (Committee member) / Arizona State University (Publisher)
Created2012
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Description
Cancer claims hundreds of thousands of lives every year in US alone. Finding ways for early detection of cancer onset is crucial for better management and treatment of cancer. Thus, biomarkers especially protein biomarkers, being the functional units which reflect dynamic physiological changes, need to be discovered. Though important, there

Cancer claims hundreds of thousands of lives every year in US alone. Finding ways for early detection of cancer onset is crucial for better management and treatment of cancer. Thus, biomarkers especially protein biomarkers, being the functional units which reflect dynamic physiological changes, need to be discovered. Though important, there are only a few approved protein cancer biomarkers till date. To accelerate this process, fast, comprehensive and affordable assays are required which can be applied to large population studies. For this, these assays should be able to comprehensively characterize and explore the molecular diversity of nominally "single" proteins across populations. This information is usually unavailable with commonly used immunoassays such as ELISA (enzyme linked immunosorbent assay) which either ignore protein microheterogeneity, or are confounded by it. To this end, mass spectrometric immuno assays (MSIA) for three different human plasma proteins have been developed. These proteins viz. IGF-1, hemopexin and tetranectin have been found in reported literature to show correlations with many diseases along with several carcinomas. Developed assays were used to extract entire proteins from plasma samples and subsequently analyzed on mass spectrometric platforms. Matrix assisted laser desorption ionization (MALDI) and electrospray ionization (ESI) mass spectrometric techniques where used due to their availability and suitability for the analysis. This resulted in visibility of different structural forms of these proteins showing their structural micro-heterogeneity which is invisible to commonly used immunoassays. These assays are fast, comprehensive and can be applied in large sample studies to analyze proteins for biomarker discovery.
ContributorsRai, Samita (Author) / Nelson, Randall (Thesis advisor) / Hayes, Mark (Thesis advisor) / Borges, Chad (Committee member) / Ros, Alexandra (Committee member) / Arizona State University (Publisher)
Created2012
Description

While PhD dissertations are typically accessible many other terminal degree projects remain invisible and inaccessible to a greater audience. Over the past year and a half, librarians at Arizona State University collaborated with faculty and departmental administrators across a variety of fields to develop and create institutional repository collections that

While PhD dissertations are typically accessible many other terminal degree projects remain invisible and inaccessible to a greater audience. Over the past year and a half, librarians at Arizona State University collaborated with faculty and departmental administrators across a variety of fields to develop and create institutional repository collections that highlight and authoritatively share this type of student scholarship with schools, researchers, and future employers. This poster will present the benefits, challenges, and considerations required to successfully implement and manage these collections of applied final projects or capstone projects. Specifically, issues/challenges related to metadata consistency, faculty buy-in, and developing an ingest process, as well as benefits related to increased visibility and improved educational and employment opportunities will be discussed. This interactive presentation will also discuss lessons learned from the presenter’s experiences in context of how they can easily apply to benefit their respective institutions.

ContributorsHarp, Matthew (Author) / Dyal, Samuel (Author) / Pardon, Kevin (Author) / Arizona State University. ASU Library (Contributor)
Created2017-05-02
Description

This presentation highlights SHARE’s ongoing initiatives as a free, open data set about research and scholarly activities across their life cycle. It includes information about the SHARE open technology and the ongoing community contributions. A variety of data set use cases and their implementation will be described to allow others

This presentation highlights SHARE’s ongoing initiatives as a free, open data set about research and scholarly activities across their life cycle. It includes information about the SHARE open technology and the ongoing community contributions. A variety of data set use cases and their implementation will be described to allow others to apply similar tools and techniques to their home institution or organization. SHARE aggregates free, open metadata about scholarship that includes proposals, registrations, data, publications, and more from more than 125 sources including ASU.

ContributorsHarp, Matthew (Author) / Hudson-Vitale, Cynthia (Author) / Arizona State University. ASU Library (Contributor)
Created2017-04-19
Description

You’ve probably heard a lot of “futurists” talk about data, but it’s not always clear how data relate to our day to day work in libraries.

Why are data important, and what’s the big deal? Data are not just spreadsheets and numbers, but come in many different shapes, colors, and flavors!

You’ve probably heard a lot of “futurists” talk about data, but it’s not always clear how data relate to our day to day work in libraries.

Why are data important, and what’s the big deal? Data are not just spreadsheets and numbers, but come in many different shapes, colors, and flavors! In this presentation, we will give an introduction to data, talk about why it is relevant, and demonstrate how to and use data in practical situations. We will also provide innovative examples that will inspire you to connect with your colleagues and patrons!

ContributorsHarp, Matthew (Author) / Perry, Anali Maughan (Author) / Arizona State University. ASU Library (Contributor)
Created2016-10-20
Description

Digital technology has enabled us to record and share our memories and histories faster and in greater numbers than previously imagined. However digital files rely on hardware, software, and descriptive information to be used. As formats change and equipment to read them goes out of use we are all challenged

Digital technology has enabled us to record and share our memories and histories faster and in greater numbers than previously imagined. However digital files rely on hardware, software, and descriptive information to be used. As formats change and equipment to read them goes out of use we are all challenged to connect our present to our future. How long do you want your digital files to last? Decades or even a few years from now will you still be able to access and enjoy those pictures, documents and other digital items you create today?

Libraries, museums and archives spend countless hours and resources preserving physical items from the past and present, but may be forfeiting the longevity of our digital work and connecting to future generations through unintended neglect. Using practical examples and employing best practices of research institutions, participants will learn important first steps to digital preservation including the importance of metadata to personal history, recommended file formats, and approaches they can immediately use to ensure the work they create today will still be enjoyed tomorrow. Help yourself, your organization, and your patrons continue to connect their digital heritage to the generations yet to come.

ContributorsHarp, Matthew (Author) / Dyal, Samuel (Author) / Arizona State University. ASU Library (Contributor)
Created2015-11-20
Description

The Arizona State University Libraries’ fun Library Minute video series brings information about resource and services to a large student body. For the first time, we present a workshop walking through the entire production process from start to finish and offering suggestions on how to fit multimedia into your marketing

The Arizona State University Libraries’ fun Library Minute video series brings information about resource and services to a large student body. For the first time, we present a workshop walking through the entire production process from start to finish and offering suggestions on how to fit multimedia into your marketing and outreach strategy. In this session, we will produce a short video with participants in three steps:

1. Conceptualization and Planning.
2. Recording.
3. Editing and Distribution.

Digital Production Manger Matthew Harp will demonstrate the tools and process and elaborate on the use of social media, YouTube, and the Internet Archive in the distribution plan. Together with Mimmo Bonanni and Library Minute Host Anali Perry, we’ll share our tips and tricks for video production using whatever resources are available.

Presented at the 2011 Arizona Library Association Conference 2011 - Tucson, Arizona

ContributorsHarp, Matthew (Author) / Bonanni, Mimmo (Author) / Perry, Anali Maughan (Author)
Created2011-11-08
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Description

The Simon Ortiz and Labriola Center Lecture on Indigenous Land, Culture, and Community addresses topics and issues across disciplines in the arts, humanities, sciences, and politics. Underscoring Indigenous American experiences and perspectives, this Series seeks to create and celebrate knowledge that evolves from an Indigenous worldview that is inclusive and

The Simon Ortiz and Labriola Center Lecture on Indigenous Land, Culture, and Community addresses topics and issues across disciplines in the arts, humanities, sciences, and politics. Underscoring Indigenous American experiences and perspectives, this Series seeks to create and celebrate knowledge that evolves from an Indigenous worldview that is inclusive and that is applicable to all walks of life.” Professor Simon Ortiz discussed the overall nature of the Series, especially emphasizing the global nature of Indigenous concerns. Joyce Martin and Matthew Harp elaborated on the contributions of the Labriola National American Indian Data Center and ASU Libraries to the Series.

The Labriola Center hosts an informal event in Hayden Library which facilitates close interaction between the featured speaker and audience members. The ASU Libraries records the evening lectures which take place at the Heard Museum and presents both an audio podcast and streaming video of each lecture on the ASU Library Channel webpage. This lecture series provides not only a chance for community discussion at the events themselves, but through the innovative use of technology the ASU Libraries enables additional forums for discussion in blogs and web pages which choose to link to the streaming videos.

ContributorsHarp, Matthew (Author) / Martin, Joyce (Author) / Ortiz, Simon (Author) / Arizona State University. ASU Library (Contributor)
Created2010-11-17
Description
Over the last fifty years, education funding has been litigated and debated in the United States. In an effort to uncover more into the effects of state dollars on education, I used the guiding research question: did differences in state-level education funding trends in the 1990s affect crime rates? With

Over the last fifty years, education funding has been litigated and debated in the United States. In an effort to uncover more into the effects of state dollars on education, I used the guiding research question: did differences in state-level education funding trends in the 1990s affect crime rates? With the help of literature on changing education-funding trends, I selected the timeframe of 1990-1995 because some states and jurisdictions increased their funding while others decreased it. For my research, I outlined the independent variable of per pupil expenditures in order to focus directly on the dollars that impact the individual student, and the dependent variables of burglary, robbery, and motor vehicle theft crime rates because juveniles typically commit these crimes. Unemployment rates and household income served as confounding variables, as these economic factors have been proven to affect crime rates. Using the difference-in-difference method, I was able to test the effect of the implementation of a treatment, increased education funding, on my control and treatment group over the 1990-1995-time period. After running a regression on each of my selected juvenile-specific crime rates, I found my results to be inconclusive; however, by factoring in more confounding variables, I believe this quasi-experimental approach can be repeated to find more solid results.
ContributorsWilson, Kelsey Marie (Author) / Dorn, Sherman (Thesis director) / Carter, Heather (Committee member) / Tatto, Maria (Committee member) / School of Public Affairs (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05