Matching Items (63)
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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
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Description
In the digital humanities, there is a constant need to turn images and PDF files into plain text to apply analyses such as topic modelling, named entity recognition, and other techniques. However, although there exist different solutions to extract text embedded in PDF files or run OCR on images, they

In the digital humanities, there is a constant need to turn images and PDF files into plain text to apply analyses such as topic modelling, named entity recognition, and other techniques. However, although there exist different solutions to extract text embedded in PDF files or run OCR on images, they typically require additional training (for example, scholars have to learn how to use the command line) or are difficult to automate without programming skills. The Giles Ecosystem is a distributed system based on Apache Kafka that allows users to upload documents for text and image extraction. The system components are implemented using Java and the Spring Framework and are available under an Open Source license on GitHub (https://github.com/diging/).
ContributorsLessios-Damerow, Julia (Contributor) / Peirson, Erick (Contributor) / Laubichler, Manfred (Contributor) / ASU-SFI Center for Biosocial Complex Systems (Contributor)
Created2017-09-28
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

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
Because collective cognition emerges from local signaling among group members, deciphering communication systems is crucial to understanding the underlying mechanisms. Alarm signals are widespread in the social insects and can elicit a variety of behavioral responses to danger, but the functional plasticity of these signals has not been well studied.

Because collective cognition emerges from local signaling among group members, deciphering communication systems is crucial to understanding the underlying mechanisms. Alarm signals are widespread in the social insects and can elicit a variety of behavioral responses to danger, but the functional plasticity of these signals has not been well studied. Here we report an alarm pheromone in the ant Temnothorax rugatulus that elicits two different behaviors depending on context. When an ant was tethered inside an unfamiliar nest site and unable to move freely, she released a pheromone from her mandibular gland that signaled other ants to reject this nest as a potential new home, presumably to avoid potential danger. When the same pheromone was presented near the ants' home nest, they were instead attracted to it, presumably to respond to a threat to the colony. We used coupled gas chromatography/mass spectrometry to identify candidate compounds from the mandibular gland and tested each one in a nest choice bioassay. We found that 2,5-dimethylpyrazine was sufficient to induce rejection of a marked new nest and also to attract ants when released at the home nest. This is the first detailed investigation of chemical communication in the leptothoracine ants. We discuss the possibility that this pheromone's deterrent function can improve an emigrating colony's nest site selection performance.
Created2014-09-01
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Description

With technology changing how documents (of all types and format) are created, shared, and used, library personnel make interpretations of copyright law daily. Very little research has been done on how library personnel understand copyright law and their role in interpreting it as part of their daily work, how comfortable

With technology changing how documents (of all types and format) are created, shared, and used, library personnel make interpretations of copyright law daily. Very little research has been done on how library personnel understand copyright law and their role in interpreting it as part of their daily work, how comfortable they are with this task, what types of training they have received, or what types of training they believe they need.

To help fill this gap, librarians from California State University Chico, Portland Community College, and Arizona State University received a planning grant from the Institute of Museum and Library Services to conduct a survey on copyright education in the 13 states in the Western United States. Unlike previous related studies, we sought responses from all types of libraries, library workers, and especially traditionally underrepresented groups.

With the hypothesis that libraries in the Western U.S. have unique barriers to quality copyright education, we conducted a survey and focus groups with library personnel regarding their prior copyright education; the need for additional education; and what barriers they face in accessing that education.

This is our final report as submitted to IMLS, planning grant log number RE-246437-OLS-20

ContributorsBridgewater, Rachel (Contributor) / Gauthier, Donna (Contributor) / Grondin, Karen (Contributor) / Jedry, Jordan (Contributor) / Lane, Cassandra, 1971- (Contributor) / Newell, Patrick (Contributor) / Noble, Jaclyn (Contributor) / Perry, Anali Maughan (Contributor) / Robinson, Max (Contributor) / Weber, Lori M. (Contributor)
Created2021
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Description

‘Describing at Large Their True and Lively Figure, their several Names, Conditions, Kinds, Virtues (both Natural and Fanciful), Countries of their Species, their Love and Hatred to Humankind, and the wonderful work of Natural Selection in their Evolution, Preservation, and Destruction.

Interwoven with curious variety of Creative Narrations out of Academic

‘Describing at Large Their True and Lively Figure, their several Names, Conditions, Kinds, Virtues (both Natural and Fanciful), Countries of their Species, their Love and Hatred to Humankind, and the wonderful work of Natural Selection in their Evolution, Preservation, and Destruction.

Interwoven with curious variety of Creative Narrations out of Academic Literatures, Scholars, Artists, Scientists, and Poets. Illustrated with diverse Graphics and Emblems both pleasant and profitable for Students of all Faculties and Professions.’

ContributorsHinde, Katie (Author) / Amorim, Carlos Eduardo G (Author) / Anderson, Chris (Author) / Beasley, Melanie (Author) / Brokaw, Alyson F (Author) / Brubaker-Wittman, Laura (Author) / Brunstrum, Jeff (Author) / Burt, Nicole M (Author) / Casillas, Mary C (Author) / Chen, Albert (Author) / Chestnut, Tara (Author) / Coffman, Robin (Author) / Connors, Patrice K. (Author) / Dasari, Mauna (Author) / Dietrick, Jeanne (Author) / Ditelberg, Connor Fox (Author) / Drew, Josh (Author) / Durgavich, Lara (Author) / Easterling, Brian (Author) / Faust, Kaitlyn (Author) / Gabrys, Jennifer (Author) / Haridy, Yara (Author) / Hecht, Ian (Author) / Henning, Charon (Author) / Hilborn, Anne W. (Author) / Janz, Margaret (Author) / Josefson, Chloe (Author) / Karlsson, Elinor K (Author) / Kauffman, Laurie (Author) / Kissel, Jenna (Author) / Kissel, Marc (Author) / Kobylecky, Jennifer (Author) / Krell, Jason (Author) / Lee, Danielle N. (Author) / Lesciotto, Kate M (Author) / Lewton, Kristi L (Author) / Light, Jessica (Author) / Martin, Jessica Leigh, 1991- (Author) / Moore, Rick (Author) / Murphy, Asia (Author) / Murphy, Kaitlyn (Author) / Nickley, William (Author) / Nuñez-de la Mora, Alejandra (Author) / Pellicer, Olivia (Author) / Pellicer, Valeria (Author) / Perry, Anali Maughan (Author) / Popescu, Jessica (Author) / Rocha, Emily (Author) / Rubio-Godoy, Miguel (Author) / Rudzis, Cyn (Author) / Sarma, Mallika (Author) / Schuttler, Stephanie (Author) / Sinnott, Madeline (Author) / Stone, Anne C. (Author) / Tanis, Brian   (Author) / Thacher, Abbie (Author) / Upham, Nathan (Author) / Varner, Jo (Author) / Villanea, Fernando (Author) / Weber, Jesse (Author) / Wilson, Melissa A. (Author) / Willcocks, Emma (Author)
Created2023-11-06
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Description

In this case study, we reflect on our journey through a major revision of our streaming video reserve guidelines, informed by an environmental scan of comparable library services and current copyright best practices. Once the guidelines were revised, we developed an implementation plan for communicating changes and developing training materials

In this case study, we reflect on our journey through a major revision of our streaming video reserve guidelines, informed by an environmental scan of comparable library services and current copyright best practices. Once the guidelines were revised, we developed an implementation plan for communicating changes and developing training materials to both instructors and internal library staff. We share our navigation strategies, obstacles faced, lessons learned, and ongoing challenges. Finally, we map out some of our future directions for improving and streamlining our services.

ContributorsPerry, Anali Maughan (Author) / Grondin, Karen (Author)
Created2020