Browsing by Author "Neely, Benjamin A."

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    Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry
    (American Chemical Society, 2024-06-04) Jiang, Yuming; Rex, Devasahayam Arokia Balaya; Schuster, Dina; Neely, Benjamin A.; Rosano, Germán L.; Volkmar, Norbert; Momenzadeh, Amanda; Peters-Clarke, Trenton M.; Egbert, Susan B.; Kreimer, Simion; Doud, Emma H.; Crook, Oliver M.; Yadav, Amit Kumar; Vanuopadath, Muralidharan; Hegeman, Adrian D.; Mayta, Martín L.; Duboff, Anna G.; Riley, Nicholas M.; Moritz, Robert L.; Meyer, Jesse G.; Biochemistry and Molecular Biology, School of Medicine
    Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this Review will serve as a handbook for researchers who are new to the field of bottom-up proteomics.
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    Comprehensive Overview of Bottom-Up Proteomics using Mass Spectrometry
    (ArXiv, 2023-11-13) Jiang, Yuming; Rex, Devasahayam Arokia Balaya; Schuster, Dina; Neely, Benjamin A.; Rosano, Germán L.; Volkmar, Norbert; Momenzadeh, Amanda; Peters-Clarke, Trenton M.; Egbert, Susan B.; Kreimer, Simion; Doud, Emma H.; Crook, Oliver M.; Yadav, Amit Kumar; Vanuopadath, Muralidharan; Mayta, Martín L.; Duboff, Anna G.; Riley, Nicholas M.; Moritz, Robert L.; Meyer, Jesse G.; Biochemistry and Molecular Biology, School of Medicine
    Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods to aid the novice and experienced researcher. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this work to serve as a basic resource for new practitioners in the field of shotgun or bottom-up proteomics.
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    Serum Proteomics Identifies Immune Pathways and Candidate Biomarkers of Coronavirus Infection in Wild Vampire Bats
    (Frontiers Media, 2022) Becker, Daniel J.; Lei, Guang-Sheng; Janech, Michael G.; Bland, Alison M.; Fenton, M. Brock; Simmons, Nancy B.; Relich, Ryan F.; Neely, Benjamin A.; Pathology and Laboratory Medicine, School of Medicine
    The apparent ability of bats to harbor many virulent viruses without showing disease is likely driven by distinct immune responses that coevolved with mammalian flight and the exceptional longevity of this order. Yet our understanding of the immune mechanisms of viral tolerance is restricted to a small number of bat–virus relationships and remains poor for coronaviruses (CoVs), despite their relevance to human health. Proteomics holds particular promise for illuminating the immune factors involved in bat responses to infection, because it can accommodate especially low sample volumes (e.g., sera) and thus can be applied to both large and small bat species as well as in longitudinal studies where lethal sampling is necessarily limited. Further, as the serum proteome includes proteins secreted from not only blood cells but also proximal organs, it provides a more general characterization of immune proteins. Here, we expand our recent work on the serum proteome of wild vampire bats (Desmodus rotundus) to better understand CoV pathogenesis. Across 19 bats sampled in 2019 in northern Belize with available sera, we detected CoVs in oral or rectal swabs from four individuals (21.1% positivity). Phylogenetic analyses identified all RdRp gene sequences in vampire bats as novel α-CoVs most closely related to known human CoVs. Across 586 identified serum proteins, we found no strong differences in protein composition nor abundance between uninfected and infected bats. However, receiver operating characteristic curve analyses identified seven to 32 candidate biomarkers of CoV infection, including AHSG, C4A, F12, GPI, DSG2, GSTO1, and RNH1. Enrichment analyses using these protein classifiers identified downregulation of complement, regulation of proteolysis, immune effector processes, and humoral immunity in CoV-infected bats alongside upregulation of neutrophil immunity, overall granulocyte activation, myeloid cell responses, and glutathione processes. Such results denote a mostly cellular immune response of vampire bats to CoV infection and identify putative biomarkers that could provide new insights into CoV pathogenesis in wild and experimental populations. More broadly, applying a similar proteomic approach across diverse bat species and to distinct life history stages in target species could improve our understanding of the immune mechanisms by which wild bats tolerate viruses.