Arun P. Wiita, Ph.D. - US grants
Affiliations: | Columbia University, New York, NY |
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The funding information displayed below comes from the NIH Research Portfolio Online Reporting Tools and the NSF Award Database.The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
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High-probability grants
According to our matching algorithm, Arun P. Wiita is the likely recipient of the following grants.Years | Recipients | Code | Title / Keywords | Matching score |
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2014 — 2018 | Wiita, Arun P. | K08Activity Code Description: To provide the opportunity for promising medical scientists with demonstrated aptitude to develop into independent investigators, or for faculty members to pursue research aspects of categorical areas applicable to the awarding unit, and aid in filling the academic faculty gap in these shortage areas within health profession's institutions of the country. |
Global Assessment of Myeloma Response to Chemotherapy @ University of California, San Francisco ? DESCRIPTION (provided by applicant): This is a resubmission application for the K08 Mentored Clinical Scientist Research Career Development Award for Dr. Arun Wiita in the Dept. of Laboratory Medicine at the University of California, San Francisco. Dr. Wiita completed his MD/PhD at Columbia University, including highly successful graduate work in single molecule biophysics in the lab of Julio Fernandez, PhD. Since finishing his residency in Laboratory Medicine at UCSF he has been pursuing research in apoptosis in hematologic cancers with Jim Wells, PhD. Despite moving into a very different field, Dr. Wiita has made significant progress on two major projects, one published and the other submitted. His long-term goal is to understand in greater detail how cancer cells evolve and respond to therapies, eventually resulting in new diagnostic tools to assist cancer management. The K08 award will provide Dr. Wiita with the protected time and additional training in bioinformatics, proteomics, and cancer signaling networks critical to his development as a tenure-track physician-scientist primarily devoted to laboratory research. His mentor, Jim Wells, PhD, an expert on therapeutics and cell death, and his co-mentor, Kevin Shannon, MD, an expert on hematologic malignancies, have extremely strong records of mentorship. Additional advisory committee members include Jonathan Weissman, PhD, an expert on systems biology, Al Burlingame, PhD, a pioneer of biological mass spectrometry, and Scott Kogan, MD, a physician-scientist bridging clinical and basic research in Laboratory Medicine. Including coursework and participation in seminars and conferences, Dr. Wiita has drawn on the myriad resources of the UCSF scientific community to promote his career as an independent investigator. The research proposal is centered on using emerging, systems-level technologies to address pressing issues in management of multiple myeloma, an incurable, aggressive hematologic malignancy. In Aim 1 Dr. Wiita has begun to develop a unique pipeline combining mRNA deep sequencing, ribosome profiling, and quantitative proteomics to monitor bortezomib-induced cell death in myeloma cells. These studies have already revealed extensive biological insight into translational dynamics after bortezomib exposure. Here he will expand these studies with new proteomic and analysis methods to monitor the role of post-translational modifications and cellular signaling. In Aim 2 Dr. Wiita will use the first-of-its-kind data obtained in this pipeline to develop a new quantitatie model of protein translation and translational regulation. These processes are key determinants of cellular homeostasis and regulation and also play an important role in myeloma pathogenesis. In Aim 3 Dr. Wiita will use cell and molecular biology approaches to elucidate resistance and response markers as well as combination therapeutic targets in myeloma, driven by hypotheses based on systems-level data. These studies are deeply related to the missions of the NIH and NCI as they will greatly expand our understanding of therapeutic effects in myeloma and, in the future, potentially any malignancy. |
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2016 | Wiita, Arun P. | DP2Activity Code Description: To support highly innovative research projects by new investigators in all areas of biomedical and behavioral research. |
In Vivo Monitoring of Oxidative Protein Folding Through Time-Resolved Quantitative Mass Spectrometry @ University of California, San Francisco PROJECT SUMMARY/ABSTRACT Despite decades of study, how proteins fold in cells remains poorly understood. Protein folding and misfolding underlies the pathogenesis of diseases ranging from cancer to neurodegeneration. Much of what we do know about protein folding has been gathered from in vitro experiments, which do not fully model the complex intracellular environment including chaperones, membranes, and other biomolecules. Furthermore, our current knowledge of folding, both in vitro and in vivo, primarily relies on low-throughput, single-protein experiments. While providing great detail, these methods cannot simultaneously test how differential folding and misfolding across the proteome impacts disease physiology. Over 20% of human proteins contain disulfide bonds, and formation of these bonds typically represents the rate-limiting step in achieving the native fold under oxidizing conditions. Therefore, monitoring the kinetics of native disulfide bond formation can provide a proxy for successful protein folding (Mamathambika and Bardwell, 2008). Our group has pioneered the use of targeted mass spectrometry to monitor cellular protein synthesis. Here, we propose an entirely new approach to monitor oxidative protein folding across hundreds of proteins simultaneously: using targeted, quantitative mass spectrometry to monitor the kinetics of native disulfide bond formation in vivo. In my group we specifically focus on the study of multiple myeloma, a hematologic malignancy of plasma cells with no known cure. This disease is fundamentally a disorder of aberrant protein homeostasis: it is thought that unregulated production of immunoglobulin leads to many of the known clinical sequelae, while inducing apoptosis by increasing unfolded protein stress is a first-line therapeutic strategy. Here, we will first develop biochemical and proteomic tools to monitor native disulfide bond formation in nascently synthesized proteins within the endoplasmic reticulum. We will then use these tools, in combination with tuning of immunoglobulin protein synthesis through CRISPR inhibition and activation, to test the clinically-relevant hypothesis that myeloma cells are exquisitely sensitive to proteasome inhibition due to increased unfolded protein stress. Finally, we will test the effects of modulation of oxidative folding chaperones on simultaneous folding kinetics across many classes of myeloma-relevant secreted and extracellular proteins. We anticipate that these experimental approaches will provide a significant advance toward our understanding of global protein folding in vivo, thereby addressing a major gap in our knowledge of this central biological process. Furthermore, our results here will provide a breakthrough toward the study of a broad range of intracellular protein dynamics that are inaccessible with other methods. |
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2018 — 2021 | Wiita, Arun P. | R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Exploiting Myeloma Proteome Remodeling to Extend Proteasome Inhibitor Efficacy @ University of California, San Francisco PROJECT SUMMARY/ABSTRACT Multiple myeloma is an aggressive hematologic malignancy that remains incurable despite recent progress. This disease of malignant plasma cells is fundamentally associated with aberrant protein homeostasis, defined by an extremely high burden of immunoglobulin synthesis. Proteasome inhibitors (PIs), a widely-used first-line therapy in myeloma, are thought to directly take advantage of this aberrancy by increasing unfolded protein stress leading to cell death. However, this mechanism is not fully proven, and further insight into PI-induced cell death may lead to more effective combination strategies. In addition, PI resistance is a major clinical problem in myeloma, and new strategies are needed to overcome this condition. Here, we hypothesize that the remodeling of the plasma cell proteome after therapy is central to both PI response and resistance. We specifically propose that proteome remodeling is mediated through rewiring of proteostasis pathways involving chaperones, the VCP/p97 complex, and the ubiquitin-proteasome system, as well as through changes to the alternative splicing landscape, as mediated by post-translational modification of the splicing machinery. To explore this hypothesis we will take advantage of novel pharmacologic and genetic perturbation tools, cellular and biochemical assays, in vivo models, clinical trial genomic data, primary sample analysis, RNA sequencing, and mass spectrometry approaches. The overall goals of this proposal are 1) develop new therapy strategies either in combination with PIs or in the PI-refractory setting, and 2) describe a new, systematic approach to probe the architecture of proteostasis networks. Importantly, our preliminary results challenge existing paradigms related to PI efficacy. In Aim 1, we address paradoxical findings relating the unfolded protein response, the interaction between the p97 degradation machinery and PIs, and the relevance of inducible HSP-family chaperones. We will take advantage of novel pharmacology available to us, including active site and allosteric inhibitors of p97 and allosteric inhibitors of HSP70, in combination with functional genetics by CRISPR interference, to define the role of central protein homeostasis nodes defining PI response and resistance. Furthermore, we will use our unique expertise in pulsed-SILAC proteomics to determine specific substrates of the p97 machinery and the proteasome in the presence of clinically-relevant resistance modifications. Toward Aim 2, our preliminary studies using unbiased mass spectrometry have revealed significant phosphorylation of the spliceosome after PI treatment. We first aim to characterize the relationship between specific alternative splicing events and proteome remodeling after PIs. We then aim to extend our promising preliminary data demonstrating the efficacy of splicing inhibitors as a new anti-myeloma therapy. Overall, the studies here will have a direct impact on delineating the surprisingly broad range of PI-mediated effects in plasma cells, validate the novel therapeutic strategy of splicing inhibition, and reveal new mechanistic approaches to dissect proteostasis networks and alternative splicing that could extend far beyond myeloma. |
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2021 | Wiita, Arun P. | R03Activity Code Description: To provide research support specifically limited in time and amount for studies in categorical program areas. Small grants provide flexibility for initiating studies which are generally for preliminary short-term projects and are non-renewable. |
Clintad: a Tool For Improving Clinical Cnv Interpretation @ University of California, San Francisco PROJECT SUMMARY/ABSTRACT DNA microarray is a routine clinical pediatric diagnostic test to identify genomic copy number variants (CNVs) that could be causative of autism, developmental delay, and multiple congenital anomalies. This test is also used frequently in the prenatal setting to find genomic causes of fetal anomalies found by ultrasound, or to predict potential phenotypes postnatally. Current clinical guidelines for interpretation of CNVs focus solely on the characteristics of genes contained within the CNV breakpoints. However, recent studies on chromatin architecture, utilizing Hi-C or related techniques, have demonstrated that CNVs can also disrupt the structure of topologically associated domains (TADs). TADs are ?neighborhoods? of physical DNA interactions that serve several functions, including the prevention of ectopic gene-enhancer interactions. This TAD disruption can lead to pathogenic alterations in transcription of genes outside the CNV region that are ultimately causative of disease. The central hypothesis of this proposal is by only focusing on genes within the CNV region for clinical interpretation, critical genomic information is being entirely ignored in DNA microarray interpretation, ultimately leading to missed diagnoses for patients. To address this issue, we have recently developed the free-to-use software ClinTAD (www.clintad.com; J Hum Genet (2019)) to assist in the interpretation of CNVs while taking potential TAD disruption into account. To our knowledge, this is the first software of its kind to attempt to integrate TADs into clinical CNV interpretation. While ClinTAD v1.0 is currently available as a decision support tool to assist in clinical practice, it is currently limited both in its ease-of-use as well as its predictive power. Further enhancing the utility of ClinTAD motivates the two Aims of our proposal here: 1) We aim to optimize ClinTAD as both a clinical decision support and research tool by allowing incorporation of TAD boundaries from different datasets, enabling an API for analysis of large case cohorts, adding interpretation tools for Regions of Homozygosity found on SNP array, and allowing for creation of a de-identified database where users can upload cases with suspicion for pathogenicity based on TAD disruption. 2) We aim to improve the predictive power of ClinTAD through machine learning to identify the most predictive features of pathogenicity in a large, publicly available CNV cohorts, as well as by incorporating a recently-described convolutional neural network-based model which can predict TAD disruption as a function of CNV breakpoints. In this proposal we aim to make ClinTAD the premier tool for the interpretation of CNVs in the context of TAD disruption. Our long- term goal is to build a collaborative network of users that will enable us to identify patients with the most probability of having clinical phenotypes caused by TAD disruption. Such a unique patient cohort could then form the basis of a first-of-its kind trial to evaluate the utility of Hi-C as a clinical test. |
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2021 | Wiita, Arun P. | R21Activity Code Description: To encourage the development of new research activities in categorical program areas. (Support generally is restricted in level of support and in time.) |
Structural Surfaceomics: a Strategy For Immunotherapy Target Discovery @ University of California, San Francisco PROJECT SUMMARY/ABSTRACT Engineered cellular therapies, such as CAR-T cells, hold great promise as ?living drugs?. However, the application of this approach beyond B-cell origin malignancies has been hampered by a lack of tumor-specific cell surface antigen targets. Current methods to identify new targets rely largely on expression patterns from RNA-seq data. However, the limitations of this transcriptome-based strategy have rapidly become apparent. We were struck by the recent serendipitous discovery of a tumor- specific surface antigen in the blood cancer multiple myeloma, amenable to CAR-T targeting, defined not by its expression but by its structural conformation compared to normal hematopoietic cells. The central hypothesis of this proposal is that many additional conformation-specific tumor antigens likely exist, across cancers, but currently there is no technology yet available to detect them. Here we aim to develop such a technology, combining our expertise in cell surface proteomics with crosslinking mass spectrometry, which we call ?structural surfaceomics?. While this approach could be applied to any cancer, here we first explore acute myeloid leukemia (AML), a hematologic malignancy with poor clinical outcomes and a lack of highly-specific cell surface targets. In preliminary data, utilizing an initial version of the structural surfaceomics technology, we have already identified a novel conformation-specific antigen in AML that may be a promising therapeutic target. Here, we propose two Specific Aims: 1) Further development of the structural surfaceomics approach. Our preliminary protocol is restricted to highly-expressed surface antigens with sufficient lysine crosslinks to report on structural changes. To broaden applicability, we first aim to implement recently-described XL-MS strategies that can achieve much higher proteomic coverage. We will further assess the performance of our method using biochemical control of specific surface antigens, as well as profile additional AML lines for novel target discovery. 2) Development of novel CAR-T's targeting a conformation-specific AML antigen. We will generate CAR-T compatible binders both using a standard scFv approach, based on an existing murine antibody, as well as fully in vitro-selected nanobodies via yeast display. Our lab has recently demonstrated the latter strategy as a promising approach for cellular therapy in acute leukemia (Nix et al., in revision for Cancer Discovery). We will perform initial in vitro and in vivo validation of these cellular therapies. Overall, we anticipate developing an approach to identify an entirely new class of immunotherapy targets. Furthermore, we aim to demonstrate that our approach can nominate a promising cellular therapeutic candidate specific for AML. In future work, beyond this pilot funding, we anticipate applying structural surfaceomics to broader profiling of malignancies, as well as more complete preclinical validation of our AML conformation-targeting CAR-T's. |
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