Browsing by Author "Webb-Robertson, Bobbie-Jo M."

Now showing 1 - 5 of 5
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    A genomic data archive from the Network for Pancreatic Organ donors with Diabetes
    (Springer Nature, 2023-05-26) Perry, Daniel J.; Shapiro, Melanie R.; Chamberlain, Sonya W.; Kusmartseva, Irina; Chamala, Srikar; Balzano-Nogueira, Leandro; Yang, Mingder; Brant, Jason O.; Brusko, Maigan; Williams, MacKenzie D.; McGrail, Kieran M.; McNichols, James; Peters, Leeana D.; Posgai, Amanda L.; Kaddis, John S.; Mathews, Clayton E.; Wasserfall, Clive H.; Webb-Robertson, Bobbie-Jo M.; Campbell-Thompson, Martha; Schatz, Desmond; Evans-Molina, Carmella; Pugliese, Alberto; Concannon, Patrick; Anderson, Mark S.; German, Michael S.; Chamberlain, Chester E.; Atkinson, Mark A.; Brusko, Todd M.; Pediatrics, School of Medicine
    The Network for Pancreatic Organ donors with Diabetes (nPOD) is the largest biorepository of human pancreata and associated immune organs from donors with type 1 diabetes (T1D), maturity-onset diabetes of the young (MODY), cystic fibrosis-related diabetes (CFRD), type 2 diabetes (T2D), gestational diabetes, islet autoantibody positivity (AAb+), and without diabetes. nPOD recovers, processes, analyzes, and distributes high-quality biospecimens, collected using optimized standard operating procedures, and associated de-identified data/metadata to researchers around the world. Herein describes the release of high-parameter genotyping data from this collection. 372 donors were genotyped using a custom precision medicine single nucleotide polymorphism (SNP) microarray. Data were technically validated using published algorithms to evaluate donor relatedness, ancestry, imputed HLA, and T1D genetic risk score. Additionally, 207 donors were assessed for rare known and novel coding region variants via whole exome sequencing (WES). These data are publicly-available to enable genotype-specific sample requests and the study of novel genotype:phenotype associations, aiding in the mission of nPOD to enhance understanding of diabetes pathogenesis to promote the development of novel therapies.
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    Comprehensive Proteomics Analysis of Stressed Human Islets Identifies GDF15 as a Target for Type 1 Diabetes Intervention
    (Elsevier, 2020-02-04) Nakayasu, Ernesto S.; Syed, Farooq; Tersey, Sarah A.; Gritsenko, Marina A.; Mitchell, Hugh D.; Chan, Chi Yuet; Dirice, Ercument; Turatsinze, Jean-Valery; Cui, Yi; Kulkarni, Rohit N.; Eizirik, Decio L.; Qian, Wei-Jun; Webb-Robertson, Bobbie-Jo M.; Evans-Molina, Carmella; Mirmira., Raghavendra G.; Metz, Thomas O.; Pediatrics, School of Medicine
    Type 1 diabetes (T1D) results from the progressive loss of β cells, a process propagated by pro-inflammatory cytokine signaling that disrupts the balance between pro- and anti-apoptotic proteins. To identify proteins involved in this process, we performed comprehensive proteomics of human pancreatic islets treated with interleukin-1β and interferon-γ, leading to the identification of 11,324 proteins, of which 387 were significantly regulated by treatment. We then tested the function of growth/differentiation factor 15 (GDF15), which was repressed by the treatment. We found that GDF15 translation was blocked during inflammation, and it was depleted in islets from individuals with T1D. The addition of exogenous GDF15 inhibited interleukin-1β+interferon-γ-induced apoptosis of human islets. Administration of GDF15 reduced by 53% the incidence of diabetes in NOD mice. Our approach provides a unique resource for the identification of the human islet proteins regulated by cytokines and was effective in discovering a potential target for T1D therapy.
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    Inhibition of the Eukaryotic Initiation Factor-2-α Kinase PERK Decreases Risk of Autoimmune Diabetes in Mice
    (bioRxiv, 2024-06-03) Muralidharan, Charanya; Huang, Fei; Enriquez, Jacob R.; Wang, Jiayi E.; Nelson, Jennifer B.; Nargis, Titli; May, Sarah C.; Chakraborty, Advaita; Figatner, Kayla T.; Navitskaya, Svetlana; Anderson, Cara M.; Calvo, Veronica; Surguladze, David; Mulvihill, Mark J.; Yi, Xiaoyan; Sarkar, Soumyadeep; Oakes, Scott A.; Webb-Robertson, Bobbie-Jo M.; Sims, Emily K.; Staschke, Kirk A.; Eizirik, Decio L.; Nakayasu, Ernesto S.; Stokes, Michael E.; Tersey, Sarah A.; Mirmira, Raghavendra G.; Pediatrics, School of Medicine
    Preventing the onset of autoimmune type 1 diabetes (T1D) is feasible through pharmacological interventions that target molecular stress-responsive mechanisms. Cellular stresses, such as nutrient deficiency, viral infection, or unfolded proteins, trigger the integrated stress response (ISR), which curtails protein synthesis by phosphorylating eIF2α. In T1D, maladaptive unfolded protein response (UPR) in insulin-producing β cells renders these cells susceptible to autoimmunity. We show that inhibition of the eIF2α kinase PERK, a common component of the UPR and ISR, reverses the mRNA translation block in stressed human islets and delays the onset of diabetes, reduces islet inflammation, and preserves β cell mass in T1D-susceptible mice. Single-cell RNA sequencing of islets from PERK-inhibited mice shows reductions in the UPR and PERK signaling pathways and alterations in antigen processing and presentation pathways in β cells. Spatial proteomics of islets from these mice shows an increase in the immune checkpoint protein PD-L1 in β cells. Golgi membrane protein 1, whose levels increase following PERK inhibition in human islets and EndoC-βH1 human β cells, interacts with and stabilizes PD-L1. Collectively, our studies show that PERK activity enhances β cell immunogenicity, and inhibition of PERK may offer a strategy to prevent or delay the development of T1D.
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    Inhibition of the eukaryotic initiation factor-2α kinase PERK decreases risk of autoimmune diabetes in mice
    (American Society for Clinical Investigation, 2024-06-18) Muralidharan, Charanya; Huang, Fei; Enriquez, Jacob R.; Wang, Jiayi E.; Nelson, Jennifer B.; Nargis, Titli; May, Sarah C.; Chakraborty, Advaita; Figatner, Kayla T.; Navitskaya, Svetlana; Anderson, Cara M.; Calvo, Veronica; Surguladze, David; Mulvihill, Mark J.; Yi, Xiaoyan; Sarkar, Soumyadeep; Oakes, Scott A.; Webb-Robertson, Bobbie-Jo M.; Sims, Emily K.; Staschke, Kirk A.; Eizirik, Decio L.; Nakayasu, Ernesto S.; Stokes, Michael E.; Tersey, Sarah A.; Mirmira, Raghavendra G.; Pediatrics, School of Medicine
    Preventing the onset of autoimmune type 1 diabetes (T1D) is feasible through pharmacological interventions that target molecular stress–responsive mechanisms. Cellular stresses, such as nutrient deficiency, viral infection, or unfolded proteins, trigger the integrated stress response (ISR), which curtails protein synthesis by phosphorylating eukaryotic translation initiation factor-2α (eIF2α). In T1D, maladaptive unfolded protein response (UPR) in insulin-producing β cells renders these cells susceptible to autoimmunity. We found that inhibition of the eIF2α kinase PKR-like ER kinase (PERK), a common component of the UPR and ISR, reversed the mRNA translation block in stressed human islets and delayed the onset of diabetes, reduced islet inflammation, and preserved β cell mass in T1D-susceptible mice. Single-cell RNA-Seq of islets from PERK-inhibited mice showed reductions in the UPR and PERK signaling pathways and alterations in antigen-processing and presentation pathways in β cells. Spatial proteomics of islets from these mice showed an increase in the immune checkpoint protein programmed death-ligand 1 (PD-L1) in β cells. Golgi membrane protein 1, whose levels increased following PERK inhibition in human islets and EndoC-βH1 human β cells, interacted with and stabilized PD-L1. Collectively, our studies show that PERK activity enhances β cell immunogenicity and that inhibition of PERK may offer a strategy for preventing or delaying the development of T1D.
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    Tutorial: best practices and considerations for mass-spectrometry-based protein biomarker discovery and validation
    (Springer Nature, 2021) Nakayasu, Ernesto S.; Gritsenko, Marina; Piehowski, Paul D.; Gao, Yuqian; Orton, Daniel J.; Schepmoes, Athena A.; Fillmore, Thomas L.; Frohnert, Brigitte I.; Rewers, Marian; Krischer, Jeffrey P.; Ansong, Charles; Suchy-Dicey, Astrid M.; Evans-Molina, Carmella; Qian, Wei-Jun; Webb-Robertson, Bobbie-Jo M.; Metz, Thomas O.; Pediatrics, School of Medicine
    Mass-spectrometry-based proteomic analysis is a powerful approach for discovering new disease biomarkers. However, certain critical steps of study design such as cohort selection, evaluation of statistical power, sample blinding and randomization, and sample/data quality control are often neglected or underappreciated during experimental design and execution. This tutorial discusses important steps for designing and implementing a liquid-chromatography-mass-spectrometry-based biomarker discovery study. We describe the rationale, considerations and possible failures in each step of such studies, including experimental design, sample collection and processing, and data collection. We also provide guidance for major steps of data processing and final statistical analysis for meaningful biological interpretations along with highlights of several successful biomarker studies. The provided guidelines from study design to implementation to data interpretation serve as a reference for improving rigor and reproducibility of biomarker development studies.