Browsing by Author "Huang, Fei"

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    A proteomic meta-analysis refinement of plasma extracellular vesicles
    (Springer Nature, 2023-11-28) Vallejo, Milene C.; Sarkar, Soumyadeep; Elliott, Emily C.; Henry, Hayden R.; Powell, Samantha M.; Diaz Ludovico, Ivo; You, Youngki; Huang, Fei; Payne, Samuel H.; Ramanadham, Sasanka; Sims, Emily K.; Metz, Thomas O.; Mirmira, Raghavendra G.; Nakayasu, Ernesto S.; Pediatrics, School of Medicine
    Extracellular vesicles play major roles in cell-to-cell communication and are excellent biomarker candidates. However, studying plasma extracellular vesicles is challenging due to contaminants. Here, we performed a proteomics meta-analysis of public data to refine the plasma EV composition by separating EV proteins and contaminants into different clusters. We obtained two clusters with a total of 1717 proteins that were depleted of known contaminants and enriched in EV markers with independently validated 71% true-positive. These clusters had 133 clusters of differentiation (CD) antigens and were enriched with proteins from cell-to-cell communication and signaling. We compared our data with the proteins deposited in PeptideAtlas, making our refined EV protein list a resource for mechanistic and biomarker studies. As a use case example for this resource, we validated the type 1 diabetes biomarker proplatelet basic protein in EVs and showed that it regulates apoptosis of β cells and macrophages, two key players in the disease development. Our approach provides a refinement of the EV composition and a resource for the scientific community.
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    Improving protein order-disorder classification using charge-hydropathy plots
    (Springer (Biomed Central Ltd.), 2014) Huang, Fei; Oldfield, Christopher J.; Xue, Bin; Hsu, Wei-Lun; Meng, Jingwei; Liu, Xiaowen; Shen, Li; Romero, Pedro; Uversky, Vladimir N.; Dunker, A. Keith; Department of Biochemistry and Molecular Biology, IU School of Medicine
    BACKGROUND: The earliest whole protein order/disorder predictor (Uversky et al., Proteins, 41: 415-427 (2000)), herein called the charge-hydropathy (C-H) plot, was originally developed using the Kyte-Doolittle (1982) hydropathy scale (Kyte & Doolittle., J. Mol. Biol, 157: 105-132(1982)). Here the goal is to determine whether the performance of the C-H plot in separating structured and disordered proteins can be improved by using an alternative hydropathy scale. RESULTS: Using the performance of the CH-plot as the metric, we compared 19 alternative hydropathy scales, with the finding that the Guy (1985) hydropathy scale (Guy, Biophys. J, 47:61-70(1985)) was the best of the tested hydropathy scales for separating large collections structured proteins and intrinsically disordered proteins (IDPs) on the C-H plot. Next, we developed a new scale, named IDP-Hydropathy, which further improves the discrimination between structured proteins and IDPs. Applying the C-H plot to a dataset containing 109 IDPs and 563 non-homologous fully structured proteins, the Kyte-Doolittle (1982) hydropathy scale, the Guy (1985) hydropathy scale, and the IDP-Hydropathy scale gave balanced two-state classification accuracies of 79%, 84%, and 90%, respectively, indicating a very substantial overall improvement is obtained by using different hydropathy scales. A correlation study shows that IDP-Hydropathy is strongly correlated with other hydropathy scales, thus suggesting that IDP-Hydropathy probably has only minor contributions from amino acid properties other than hydropathy. CONCLUSION: We suggest that IDP-Hydropathy would likely be the best scale to use for any type of algorithm developed to predict protein disorder.
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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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    Lipopolysaccharide treatment induces genome-wide pre-mRNA splicing pattern changes in mouse bone marrow stromal stem cells
    (BioMed Central, 2016-08-22) Zhou, Ao; Li, Meng; He, Bo; Feng, Weixing; Huang, Fei; Xu, Bing; Dunker, A. Keith; Balch, Curt; Li, Baiyan; Liu, Yunlong; Wang, Yue; Department of Medical and Molecular Genetics, IU School of Medicine
    Background Lipopolysaccharide (LPS) is a gram-negative bacterial antigen that triggers a series of cellular responses. LPS pre-conditioning was previously shown to improve the therapeutic efficacy of bone marrow stromal cells/bone-marrow derived mesenchymal stem cells (BMSCs) for repairing ischemic, injured tissue. Results In this study, we systematically evaluated the effects of LPS treatment on genome-wide splicing pattern changes in mouse BMSCs by comparing transcriptome sequencing data from control vs. LPS-treated samples, revealing 197 exons whose BMSC splicing patterns were altered by LPS. Functional analysis of these alternatively spliced genes demonstrated significant enrichment of phosphoproteins, zinc finger proteins, and proteins undergoing acetylation. Additional bioinformatics analysis strongly suggest that LPS-induced alternatively spliced exons could have major effects on protein functions by disrupting key protein functional domains, protein-protein interactions, and post-translational modifications. Conclusion Although it is still to be determined whether such proteome modifications improve BMSC therapeutic efficacy, our comprehensive splicing characterizations provide greater understanding of the intracellular mechanisms that underlie the therapeutic potential of BMSCs. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2898-5) contains supplementary material, which is available to authorized users.
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    Many-to-one binding by intrinsically disordered protein regions
    (WORLD SCIENTIFIC, 2019-11-02) Alterovitz, Wei-Lun; Faraggi, Eshel; Oldfield, Christopher J.; Meng, Jingwei; Xue, Bin; Huang, Fei; Romero, Pedro; Kloczkowski, Andrzej; Uversky, Vladimir N.; Dunker, A. Keith; Biochemistry and Molecular Biology, School of Medicine
    Disordered binding regions (DBRs), which are embedded within intrinsically disordered proteins or regions (IDPs or IDRs), enable IDPs or IDRs to mediate multiple protein-protein interactions. DBR-protein complexes were collected from the Protein Data Bank for which two or more DBRs having different amino acid sequences bind to the same (100% sequence identical) globular protein partner, a type of interaction herein called many-to-one binding. Two distinct binding profiles were identified: independent and overlapping. For the overlapping binding profiles, the distinct DBRs interact by means of almost identical binding sites (herein called “similar”), or the binding sites contain both common and divergent interaction residues (herein called “intersecting”). Further analysis of the sequence and structural differences among these three groups indicate how IDP flexibility allows different segments to adjust to similar, intersecting, and independent binding pockets.
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    Optimizing hydropathy scale to improve IDP prediction and characterizing IDPs' functions
    (2014-01) Huang, Fei; Dunker, A. Keith; Chen, Jake; Hurley, Thomas D., 1961-; Shen, Li
    Intrinsically disordered proteins (IDPs) are flexible proteins without defined 3D structures. Studies show that IDPs are abundant in nature and actively involved in numerous biological processes. Two crucial subjects in the study of IDPs lie in analyzing IDPs’ functions and identifying them. We thus carried out three projects to better understand IDPs. In the 1st project, we propose a method that separates IDPs into different function groups. We used the approach of CH-CDF plot, which is based the combined use of two predictors and subclassifies proteins into 4 groups: structured, mixed, disordered, and rare. Studies show different structural biases for each group. The mixed class has more order-promoting residues and more ordered regions than the disordered class. In addition, the disordered class is highly active in mitosis-related processes among others. Meanwhile, the mixed class is highly associated with signaling pathways, where having both ordered and disordered regions could possibly be important. The 2nd project is about identifying if an unknown protein is entirely disordered. One of the earliest predictors for this purpose, the charge-hydropathy plot (C-H plot), exploited the charge and hydropathy features of the protein. Not only is this algorithm simple yet powerful, its input parameters, charge and hydropathy, are informative and readily interpretable. We found that using different hydropathy scales significantly affects the prediction accuracy. Therefore, we sought to identify a new hydropathy scale that optimizes the prediction. This new scale achieves an accuracy of 91%, a significant improvement over the original 79%. In our 3rd project, we developed a per-residue C-H IDP predictor, in which three hydropathy scales are optimized individually. This is to account for the amino acid composition differences in three regions of a protein sequence (N, C terminus and internal). We then combined them into a single per-residue predictor that achieves an accuracy of 74% for per-residue predictions for proteins containing long IDP regions.
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    Proinflammatory signaling in islet β cells propagates invasion of pathogenic immune cells in autoimmune diabetes
    (Elsevier, 2022) Piñeros, Annie R.; Kulkarni, Abhishek; Gao, Hongyu; Orr, Kara S.; Glenn, Lindsey; Huang, Fei; Liu, Yunlong; Gannon, Maureen; Syed, Farooq; Wu, Wenting; Anderson, Cara M.; Evans-Molina, Carmella; McDuffie, Marcia; Nadler, Jerry L.; Morris, Margaret A.; Mirmira, Raghavendra G.; Tersey, Sarah A.; Pediatrics, School of Medicine
    Type 1 diabetes is a disorder of immune tolerance that leads to death of insulin-producing islet β cells. We hypothesize that inflammatory signaling within β cells promotes progression of autoimmunity within the islet microenvironment. To test this hypothesis, we deleted the proinflammatory gene encoding 12/15-lipoxygenase (Alox15) in β cells of non-obese diabetic mice at a pre-diabetic time point when islet inflammation is a feature. Deletion of Alox15 leads to preservation of β cell mass, reduces populations of infiltrating T cells, and protects against spontaneous autoimmune diabetes in both sexes. Mice lacking Alox15 in β cells exhibit an increase in a population of β cells expressing the gene encoding the protein programmed death ligand 1 (PD-L1), which engages receptors on immune cells to suppress autoimmunity. Delivery of a monoclonal antibody against PD-L1 recovers the diabetes phenotype in knockout animals. Our results support the contention that inflammatory signaling in β cells promotes autoimmunity during type 1 diabetes progression.