1
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Tan Z, Yue Y, da Veiga Leprevost F, Haynes SE, Basrur V, Nesvizhskii AI, Verhey KJ, Cianfrocco MA. Autoinhibited kinesin-1 adopts a hierarchical folding pattern. bioRxiv 2023:2023.01.26.525761. [PMID: 36747757 PMCID: PMC9901034 DOI: 10.1101/2023.01.26.525761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Conventional kinesin-1 is the primary anterograde motor in cells for transporting cellular cargo. While there is a consensus that the C-terminal tail of kinesin-1 inhibits motility, the molecular architecture of a full-length autoinhibited kinesin-1 remains unknown. Here, we combine cross-linking mass spectrometry (XL-MS), electron microscopy (EM), and AlphaFold structure prediction to determine the architecture of the full-length autoinhibited kinesin-1 homodimer [kinesin-1 heavy chain (KHC)] and kinesin-1 heterotetramer [KHC bound to kinesin light chain 1 (KLC1)]. Our integrative analysis shows that kinesin-1 forms a compact, bent conformation through a break in coiled coil 3. Moreover, our XL-MS analysis demonstrates that kinesin light chains stabilize the folded inhibited state rather than inducing a new structural state. Using our structural model, we show that disruption of multiple interactions between the motor, stalk, and tail domains is required to activate the full-length kinesin-1. Our work offers a conceptual framework for understanding how cargo adaptors and microtubule-associated proteins relieve autoinhibition to promote activation.
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Affiliation(s)
- Zhenyu Tan
- Department of Biophysics, University of Michigan
- Life Sciences Institute, University of Michigan
| | - Yang Yue
- Department of Cell & Developmental Biology, University of Michigan
| | | | | | | | - Alexey I. Nesvizhskii
- Department of Pathology, University of Michigan
- Department of Computational Medicine and Bioinformatics, University of Michigan
| | | | - Michael A. Cianfrocco
- Life Sciences Institute, University of Michigan
- Department of Biological Chemistry, University of Michigan
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2
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Chang HY, Haynes SE, Yu F, Nesvizhskii AI. Implementing the MSFragger Search Engine as a Node in Proteome Discoverer. J Proteome Res 2023; 22:520-525. [PMID: 36475762 DOI: 10.1021/acs.jproteome.2c00485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Here, we describe the implementation of the fast proteomics search engine MSFragger as a processing node in the widely used Proteome Discoverer (PD) software platform. PeptideProphet (via the Philosopher tool kit) is also implemented as an additional PD node to allow validation of MSFragger open (mass-tolerant) search results. These two nodes, along with the existing Percolator validation module, allow users to employ different search strategies and conveniently inspect search results through PD. Our results have demonstrated the improved numbers of PSMs, peptides, and proteins identified by MSFragger coupled with Percolator and significantly faster search speed compared to the conventional SEQUEST/Percolator PD workflows. The MSFragger-PD node is available at https://github.com/nesvilab/PD-Nodes/releases/.
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Affiliation(s)
- Hui-Yin Chang
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48105, United States.,Department of Biomedical Sciences and Engineering, Institute of Systems Biology and Bioinformatics, National Central University, Taoyuan, Taiwan 320317
| | - Sarah E Haynes
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48105, United States
| | - Fengchao Yu
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48105, United States
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48105, United States.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48105, United States
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3
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Hotta T, McAlear TS, Yue Y, Higaki T, Haynes SE, Nesvizhskii AI, Sept D, Verhey KJ, Bechstedt S, Ohi R. EML2-S constitutes a new class of proteins that recognizes and regulates the dynamics of tyrosinated microtubules. Curr Biol 2022; 32:3898-3910.e14. [PMID: 35963242 PMCID: PMC9530018 DOI: 10.1016/j.cub.2022.07.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 06/13/2022] [Accepted: 07/13/2022] [Indexed: 02/01/2023]
Abstract
Tubulin post-translational modifications (PTMs) alter microtubule properties by affecting the binding of microtubule-associated proteins (MAPs). Microtubule detyrosination, which occurs by proteolytic removal of the C-terminal tyrosine from ɑ-tubulin, generates the oldest known tubulin PTM, but we lack comprehensive knowledge of MAPs that are regulated by this PTM. We developed a screening pipeline to identify proteins that discriminate between Y- and ΔY-microtubules and found that echinoderm microtubule-associated protein-like 2 (EML2) preferentially interacts with Y-microtubules. This activity depends on a Y-microtubule interaction motif built from WD40 repeats. We show that EML2 tracks the tips of shortening microtubules, a behavior not previously seen among human MAPs in vivo, and influences dynamics to increase microtubule stability. Our screening pipeline is readily adapted to identify proteins that specifically recognize a wide range of microtubule PTMs.
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Affiliation(s)
- Takashi Hotta
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Thomas S McAlear
- Department of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada
| | - Yang Yue
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Takumi Higaki
- Faculty of Advanced Science and Technology (FAST), Kumamoto University, Kumamoto, Japan; International Research Organization for Advanced Science and Technology (IROAST), Kumamoto University, Kumamoto, Japan
| | - Sarah E Haynes
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - David Sept
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Kristen J Verhey
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Susanne Bechstedt
- Department of Anatomy and Cell Biology, McGill University, Montreal, QC, Canada
| | - Ryoma Ohi
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.
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4
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Duda M, Sovacool KL, Farzaneh N, Nguyen VK, Haynes SE, Falk H, Furman KL, Walker LA, Diao R, Oneka M, Drotos AC, Woloshin A, Dotson GA, Kriebel A, Meng L, Thiede SN, Lapp Z, Wolford BN. Teaching Python for Data Science: Collaborative development of a modular interactive curriculum. JOSE 2021; 4. [PMID: 35187422 PMCID: PMC8851894 DOI: 10.21105/jose.00138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Marlena Duda
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Kelly L Sovacool
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Negar Farzaneh
- Department of Computational Medicine & Bioinformatics, University of Michigan
- Michigan Center for Integrative Research in Critical Care, University of Michigan
| | - Vy Kim Nguyen
- Department of Computational Medicine & Bioinformatics, University of Michigan
- Department of Environmental Health Sciences, University of Michigan
| | | | - Hayley Falk
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Katherine L Furman
- Neuroscience Graduate Program, University of Michigan
- Michigan Neuroscience Institute, University of Michigan
| | - Logan A Walker
- Biophysics Graduate Program, University of Michigan
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Rucheng Diao
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Morgan Oneka
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Audrey C Drotos
- Kresge Hearing Research Institute, Department of Otolaryngology-Head and Neck Surgery, University of Michigan
| | | | - Gabrielle A Dotson
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - April Kriebel
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Lucy Meng
- Department of Electrical Engineering & Computer Sciences, University of California, Berkeley
| | | | - Zena Lapp
- Department of Computational Medicine & Bioinformatics, University of Michigan
| | - Brooke N Wolford
- Department of Computational Medicine & Bioinformatics, University of Michigan
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5
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Solon AL, Tan Z, Schutt KL, Jepsen L, Haynes SE, Nesvizhskii AI, Sept D, Stumpff J, Ohi R, Cianfrocco MA. Kinesin-binding protein remodels the kinesin motor to prevent microtubule binding. Sci Adv 2021; 7:eabj9812. [PMID: 34797717 PMCID: PMC8604404 DOI: 10.1126/sciadv.abj9812] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/29/2021] [Indexed: 05/30/2023]
Abstract
Kinesins are regulated in space and time to ensure activation only in the presence of cargo. Kinesin-binding protein (KIFBP), which is mutated in Goldberg-Shprintzen syndrome, binds to and inhibits the catalytic motor heads of 8 of 45 kinesin superfamily members, but the mechanism remains poorly defined. Here, we used cryo–electron microscopy and cross-linking mass spectrometry to determine high-resolution structures of KIFBP alone and in complex with two mitotic kinesins, revealing structural remodeling of kinesin by KIFBP. We find that KIFBP remodels kinesin motors and blocks microtubule binding (i) via allosteric changes to kinesin and (ii) by sterically blocking access to the microtubule. We identified two regions of KIFBP necessary for kinesin binding and cellular regulation during mitosis. Together, this work further elucidates the molecular mechanism of KIFBP-mediated kinesin inhibition and supports a model in which structural rearrangement of kinesin motor domains by KIFBP abrogates motor protein activity.
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Affiliation(s)
- April L. Solon
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Zhenyu Tan
- Department of Biophysics, University of Michigan, Ann Arbor, MI, USA
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
| | - Katherine L. Schutt
- Department of Molecular Physiology and Biophysics, University of Vermont, Burlington, VT, USA
| | - Lauren Jepsen
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Sarah E. Haynes
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Alexey I. Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - David Sept
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Jason Stumpff
- Department of Molecular Physiology and Biophysics, University of Vermont, Burlington, VT, USA
| | - Ryoma Ohi
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Michael A. Cianfrocco
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA
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6
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Yu F, Haynes SE, Nesvizhskii AI. IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs. Mol Cell Proteomics 2021; 20:100077. [PMID: 33813065 PMCID: PMC8131922 DOI: 10.1016/j.mcpro.2021.100077] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 03/23/2021] [Indexed: 02/06/2023] Open
Abstract
Missing values weaken the power of label-free quantitative proteomic experiments to uncover true quantitative differences between biological samples or experimental conditions. Match-between-runs (MBR) has become a common approach to mitigate the missing value problem, where peptides identified by tandem mass spectra in one run are transferred to another by inference based on m/z, charge state, retention time, and ion mobility when applicable. Though tolerances are used to ensure such transferred identifications are reasonably located and meet certain quality thresholds, little work has been done to evaluate the statistical confidence of MBR. Here, we present a mixture model-based approach to estimate the false discovery rate (FDR) of peptide and protein identification transfer, which we implement in the label-free quantification tool IonQuant. Using several benchmarking datasets generated on both Orbitrap and timsTOF mass spectrometers, we demonstrate superior performance of IonQuant with FDR-controlled MBR compared with MaxQuant (19-38 times faster; 6-18% more proteins quantified and with comparable or better accuracy). We further illustrate the performance of IonQuant and highlight the need for FDR-controlled MBR, in two single-cell proteomics experiments, including one acquired with the help of high-field asymmetric ion mobility spectrometry separation. Fully integrated in the FragPipe computational environment, IonQuant with FDR-controlled MBR enables fast and accurate peptide and protein quantification in label-free proteomics experiments.
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Affiliation(s)
- Fengchao Yu
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sarah E Haynes
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
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7
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Hotta T, Haynes SE, Blasius TL, Gebbie M, Eberhardt EL, Sept D, Cianfrocco M, Verhey KJ, Nesvizhskii AI, Ohi R. Parthenolide Destabilizes Microtubules by Covalently Modifying Tubulin. Curr Biol 2021; 31:900-907.e6. [PMID: 33482110 DOI: 10.1016/j.cub.2020.11.055] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 11/02/2020] [Accepted: 11/19/2020] [Indexed: 12/28/2022]
Abstract
Detyrosination of the α-tubulin C-terminal tail is a post-translational modification (PTM) of microtubules that is key for many biological processes.1 Although detyrosination is the oldest known microtubule PTM,2-7 the carboxypeptidase responsible for this modification, VASH1/2-SVBP, was identified only 3 years ago,8,9 precluding genetic approaches to prevent detyrosination. Studies examining the cellular functions of detyrosination have therefore relied on a natural product, parthenolide, which is widely believed to block detyrosination of α-tubulin in cells, presumably by inhibiting the activity of the relevant carboxypeptidase(s).10 Parthenolide is a sesquiterpene lactone that forms covalent linkages predominantly with exposed thiol groups; e.g., on cysteine residues.11-13 Using mass spectrometry, we show that parthenolide forms adducts on both cysteine and histidine residues on tubulin itself, in vitro and in cells. Parthenolide causes tubulin protein aggregation and prevents the formation of microtubules. In contrast to epoY, an epoxide inhibitor of VASH1/2-SVBP,9 parthenolide does not block VASH1-SVBP activity in vitro. Lastly, we show that epoY is an efficacious inhibitor of microtubule detyrosination in cells, providing an alternative chemical means to block detyrosination. Collectively, our work supports the notion that parthenolide is a promiscuous inhibitor of many cellular processes and suggests that its ability to block detyrosination may be an indirect consequence of reducing the polymerization-competent pool of tubulin in cells.
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Affiliation(s)
- Takashi Hotta
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Sarah E Haynes
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Teresa L Blasius
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Margo Gebbie
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Emily L Eberhardt
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA; Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - David Sept
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Michael Cianfrocco
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA; Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Kristen J Verhey
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ryoma Ohi
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.
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8
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Yu F, Haynes SE, Teo GC, Avtonomov DM, Polasky DA, Nesvizhskii AI. Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant. Mol Cell Proteomics 2020; 19:1575-1585. [PMID: 32616513 PMCID: PMC7996969 DOI: 10.1074/mcp.tir120.002048] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 05/21/2020] [Indexed: 01/01/2023] Open
Abstract
Ion mobility brings an additional dimension of separation to LC-MS, improving identification of peptides and proteins in complex mixtures. A recently introduced timsTOF mass spectrometer (Bruker) couples trapped ion mobility separation to TOF mass analysis. With the parallel accumulation serial fragmentation (PASEF) method, the timsTOF platform achieves promising results, yet analysis of the data generated on this platform represents a major bottleneck. Currently, MaxQuant and PEAKS are most used to analyze these data. However, because of the high complexity of timsTOF PASEF data, both require substantial time to perform even standard tryptic searches. Advanced searches (e.g. with many variable modifications, semi- or non-enzymatic searches, or open searches for post-translational modification discovery) are practically impossible. We have extended our fast peptide identification tool MSFragger to support timsTOF PASEF data, and developed a label-free quantification tool, IonQuant, for fast and accurate 4-D feature extraction and quantification. Using a HeLa data set published by Meier et al. (2018), we demonstrate that MSFragger identifies significantly (∼30%) more unique peptides than MaxQuant (1.6.10.43), and performs comparably or better than PEAKS X+ (∼10% more peptides). IonQuant outperforms both in terms of number of quantified proteins while maintaining good quantification precision and accuracy. Runtime tests show that MSFragger and IonQuant can fully process a typical two-hour PASEF run in under 70 min on a typical desktop (6 CPU cores, 32 GB RAM), significantly faster than other tools. Finally, through semi-enzymatic searching, we significantly increase the number of identified peptides. Within these semi-tryptic identifications, we report evidence of gas-phase fragmentation before MS/MS analysis.
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Affiliation(s)
- Fengchao Yu
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sarah E Haynes
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Guo Ci Teo
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Dmitry M Avtonomov
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Daniel A Polasky
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
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9
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Yu F, Teo GC, Kong AT, Haynes SE, Avtonomov DM, Geiszler DJ, Nesvizhskii AI. Identification of modified peptides using localization-aware open search. Nat Commun 2020; 11:4065. [PMID: 32792501 PMCID: PMC7426425 DOI: 10.1038/s41467-020-17921-y] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 07/27/2020] [Indexed: 11/25/2022] Open
Abstract
Identification of post-translationally or chemically modified peptides in mass spectrometry-based proteomics experiments is a crucial yet challenging task. We have recently introduced a fragment ion indexing method and the MSFragger search engine to empower an open search strategy for comprehensive analysis of modified peptides. However, this strategy does not consider fragment ions shifted by unknown modifications, preventing modification localization and limiting the sensitivity of the search. Here we present a localization-aware open search method, in which both modification-containing (shifted) and regular fragment ions are indexed and used in scoring. We also implement a fast mass calibration and optimization method, allowing optimization of the mass tolerances and other key search parameters. We demonstrate that MSFragger with mass calibration and localization-aware open search identifies modified peptides with significantly higher sensitivity and accuracy. Comparing MSFragger to other modification-focused tools (pFind3, MetaMorpheus, and TagGraph) shows that MSFragger remains an excellent option for fast, comprehensive, and sensitive searches for modified peptides in shotgun proteomics data.
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Affiliation(s)
- Fengchao Yu
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Guo Ci Teo
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Andy T Kong
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Sarah E Haynes
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Dmitry M Avtonomov
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Daniel J Geiszler
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
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10
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Chang HY, Kong AT, da Veiga Leprevost F, Avtonomov DM, Haynes SE, Nesvizhskii AI. Crystal-C: A Computational Tool for Refinement of Open Search Results. J Proteome Res 2020; 19:2511-2515. [PMID: 32338005 DOI: 10.1021/acs.jproteome.0c00119] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Shotgun proteomics using liquid chromatography coupled to mass spectrometry (LC-MS) is commonly used to identify peptides containing post-translational modifications. With the emergence of fast database search tools such as MSFragger, the approach of enlarging precursor mass tolerances during the search (termed "open search") has been increasingly used for comprehensive characterization of post-translational and chemical modifications of protein samples. However, not all mass shifts detected using the open search strategy represent true modifications, as artifacts exist from sources such as unaccounted missed cleavages or peptide co-fragmentation (chimeric MS/MS spectra). Here, we present Crystal-C, a computational tool that detects and removes such artifacts from open search results. Our analysis using Crystal-C shows that, in a typical shotgun proteomics data set, the number of such observations is relatively small. Nevertheless, removing these artifacts helps to simplify the interpretation of the mass shift histograms, which in turn should improve the ability of open search-based tools to detect potentially interesting mass shifts for follow-up investigation.
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Affiliation(s)
- Hui-Yin Chang
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Andy T Kong
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | | | - Dmitry M Avtonomov
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Sarah E Haynes
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, United States
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11
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Lisabeth EM, Kahl D, Gopallawa I, Haynes SE, Misek SA, Campbell PL, Dexheimer TS, Khanna D, Fox DA, Jin X, Martin BR, Larsen SD, Neubig RR. Identification of Pirin as a Molecular Target of the CCG-1423/CCG-203971 Series of Antifibrotic and Antimetastatic Compounds. ACS Pharmacol Transl Sci 2019; 2:92-100. [PMID: 32039344 DOI: 10.1021/acsptsci.8b00048] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
A series of compounds (including CCG-1423 and CCG-203971) discovered through an MRTF/SRF-dependent luciferase screen has shown remarkable efficacy in a variety of in vitro and in vivo models, including significant reduction of melanoma metastasis and bleomycin- induced fibrosis. Although these compounds are efficacious in these disease models, the molecular target is unknown. Here, we describe affinity isolation-based target identification efforts which yielded pirin, an iron-dependent cotranscription factor, as a target of this series of compounds. Using biophysical techniques including isothermal titration calorimetry and X-ray crystallography, we verify that pirin binds these compounds in vitro. We also show with genetic approaches that pirin modulates MRTF- dependent luciferase reporter activity. Finally, using both siRNA and a previously validated pirin inhibitor, we show a role for pirin in TGF-β- induced gene expression in primary dermal fibroblasts. A recently developed analog, CCG-257081, which co crystallizes with pirin, is also effective in the prevention of bleomycin-induced dermal fibrosis.
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Affiliation(s)
- Erika M Lisabeth
- Department of Pharmacology & Toxicology and Michigan State University, East Lansing, Michigan, 48824, United States
| | - Dylan Kahl
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Indiwari Gopallawa
- Department of Pharmacology & Toxicology and Michigan State University, East Lansing, Michigan, 48824, United States
| | - Sarah E Haynes
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Sean A Misek
- Department of Pharmacology & Toxicology and Michigan State University, East Lansing, Michigan, 48824, United States
| | - Phillip L Campbell
- Department of Internal Medicine, Division of Rheumatology, and University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Thomas S Dexheimer
- Department of Pharmacology & Toxicology and Michigan State University, East Lansing, Michigan, 48824, United States
| | - Dinesh Khanna
- Department of Internal Medicine, Division of Rheumatology, and University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - David A Fox
- Department of Internal Medicine, Division of Rheumatology, and University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Xiangshu Jin
- Department of Biochemistry, Michigan State University, East Lansing, Michigan, 48824, United States
| | - Brent R Martin
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Scott D Larsen
- Department of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, United States.,Vahlteich Medicinal Chemistry Core, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, 48109, United States
| | - Richard R Neubig
- Department of Pharmacology & Toxicology and Michigan State University, East Lansing, Michigan, 48824, United States
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12
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Haynes SE, Majmudar JD, Martin BR. DIA-SIFT: A Precursor and Product Ion Filter for Accurate Stable Isotope Data-Independent Acquisition Proteomics. Anal Chem 2018; 90:8722-8726. [PMID: 29989796 DOI: 10.1021/acs.analchem.8b01618] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Quantitative mass spectrometry-based protein profiling is widely used to measure protein levels across different treatments or disease states, yet current mass spectrometry acquisition methods present distinct limitations. While data-independent acquisition (DIA) bypasses the stochastic nature of data-dependent acquisition (DDA), fragment spectra derived from DIA are often complex and challenging to deconvolve. In-line ion mobility separation (IMS) adds an additional dimension to increase peak capacity for more efficient product ion assignment. As a similar strategy to sequential window acquisition methods (SWATH), IMS-enabled DIA methods rival DDA methods for protein annotation. Here we evaluate IMS-DIA quantitative accuracy using stable isotope labeling by amino acids in cell culture (SILAC). Since SILAC analysis doubles the sample complexity, we find that IMS-DIA analysis is not sufficiently accurate for sensitive quantitation. However, SILAC precursor pairs share common retention and drift times, and both species cofragment to yield multiple quantifiable isotopic y-ion peak pairs. Since y-ion SILAC ratios are intrinsic for each quantified precursor, combined MS1 and y-ion ratio analysis significantly increases the total number of measurements. With increased sampling, we present DIA-SIFT ( SILAC Intrinsic Filtering Tool), a simple statistical algorithm to identify and eliminate poorly quantified MS1 and/or MS2 events. DIA-SIFT combines both MS1 and y-ion ratios, removes outliers, and provides more accurate and precise quantitation (<15% CV) without removing any proteins from the final analysis. Overall, pooled MS1 and MS2 quantitation increases sampling in IMS-DIA SILAC analyses for accurate and precise quantitation.
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Affiliation(s)
- Sarah E Haynes
- Department of Chemistry , University of Michigan , 930 N. University Avenue, Ann Arbor , Michigan 48109 , United States
| | - Jaimeen D Majmudar
- Department of Chemistry , University of Michigan , 930 N. University Avenue, Ann Arbor , Michigan 48109 , United States
| | - Brent R Martin
- Department of Chemistry , University of Michigan , 930 N. University Avenue, Ann Arbor , Michigan 48109 , United States
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Lopez JE, Haynes SE, Majmudar JD, Martin BR, Fierke CA. HDAC8 Substrates Identified by Genetically Encoded Active Site Photocrosslinking. J Am Chem Soc 2017; 139:16222-16227. [PMID: 29035536 DOI: 10.1021/jacs.7b07603] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The histone deacetylase family comprises 18 enzymes that catalyze deacetylation of acetylated lysine residues; however, the specificity and substrate profile of each isozyme remains largely unknown. Due to transient enzyme-substrate interactions, conventional co-immunoprecipitation methods frequently fail to identify enzyme-specific substrates. Additionally, compensatory mechanisms often limit the ability of knockdown or chemical inhibition studies to achieve significant fold changes observed by acetylation proteomics methods. Furthermore, measured alterations do not guarantee a direct link between enzyme and substrate. Here we present a chemical crosslinking strategy that incorporates a photoreactive, non-natural amino acid, p-benzoyl-l-phenylalanine, into various positions of the structurally characterized isozyme histone deacetylase 8 (HDAC8). After covalent capture, co-immunoprecipitation, and mass spectrometric analysis, we identified a subset of HDAC8 substrates from human cell lysates, which were further validated for catalytic turnover. Overall, this chemical crosslinking approach identified novel HDAC8-specific substrates with high catalytic efficiency, thus presenting a general strategy for unbiased deacetylase substrate discovery.
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Affiliation(s)
- Jeffrey E Lopez
- Program in Chemical Biology, ‡Department of Chemistry, and §Department of Biological Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States
| | - Sarah E Haynes
- Program in Chemical Biology, ‡Department of Chemistry, and §Department of Biological Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States
| | - Jaimeen D Majmudar
- Program in Chemical Biology, ‡Department of Chemistry, and §Department of Biological Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States
| | - Brent R Martin
- Program in Chemical Biology, ‡Department of Chemistry, and §Department of Biological Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States
| | - Carol A Fierke
- Program in Chemical Biology, ‡Department of Chemistry, and §Department of Biological Chemistry, University of Michigan , 930 North University Avenue, Ann Arbor, Michigan 48109, United States
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14
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Kuo YH, Konopko AM, Borotto NB, Majmudar JD, Haynes SE, Martin BR. Profiling Protein S-Sulfination with Maleimide-Linked Probes. Chembiochem 2017; 18:2028-2032. [PMID: 28809078 DOI: 10.1002/cbic.201700137] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 06/16/2017] [Indexed: 11/09/2022]
Abstract
Cysteine residues are susceptible to oxidation to form S-sulfinyl (R-SO2 H) and S-sulfonyl (R-SO3 H) post-translational modifications. Here we present a simple bioconjugation strategy to label S-sulfinated proteins by using reporter-linked maleimides. After alkylation of free thiols with iodoacetamide, S-sulfinated cysteines react with maleimide to form a sulfone Michael adduct that remains stable under acidic conditions. Using this sequential alkylation strategy, we demonstrate differential S-sulfination across mouse tissue homogenates, as well as enhanced S-sulfination following pharmacological induction of endoplasmic reticulum stress, lipopolysaccharide stimulation, and inhibitors of the electron transport chain. Overall, this study reveals a broadened profile of maleimide reactivity across cysteine modifications, and outlines a simple method for profiling the physiological role of cysteine S-sulfination in disease.
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Affiliation(s)
- Yu-Hsuan Kuo
- Program in Chemical Biology, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Aaron M Konopko
- Program in Chemical Biology, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Nicholas B Borotto
- Program in Chemical Biology, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Jaimeen D Majmudar
- Program in Chemical Biology, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Sarah E Haynes
- Program in Chemical Biology, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Brent R Martin
- Program in Chemical Biology, Department of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA
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15
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Haynes SE, Polasky DA, Dixit SM, Majmudar JD, Neeson K, Ruotolo BT, Martin BR. Variable-Velocity Traveling-Wave Ion Mobility Separation Enhancing Peak Capacity for Data-Independent Acquisition Proteomics. Anal Chem 2017; 89:5669-5672. [PMID: 28471653 DOI: 10.1021/acs.analchem.7b00112] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
High mass accuracy, data-dependent acquisition is the current standard method in mass spectrometry-based peptide annotation and quantification. In high complexity samples, limited instrument scan speeds often result in under-sampling. In contrast, all-ion data-independent acquisition methods bypass precursor selection, alternating high and low collision energies to analyze product and precursor ions across wide mass ranges. Despite capturing data for all events, peptide annotation is limited by inadequate alignment algorithms or overlapping ions. Ion mobility separation can add an orthogonal analytical dimension, reducing ion interference to improve reproducibility, peak capacity, and peptide identifications to rival modern hybrid quadrupole orbitrap systems. Despite the advantages of ion mobility separation in complex proteomics analyses, there has been no quantitative measure of ion mobility resolution in a complex proteomic sample. Here, we present TWIMExtract, a data extraction tool to export defined slices of liquid chromatography/ion mobility/mass spectrometry (LC-IM-MS) data, providing a route to quantify ion mobility resolution from a commercial traveling-wave ion mobility time-of-flight mass spectrometer. Using standard traveling-wave ion mobility parameters (600 m/s, 40 V), 90% of the annotated peptides occupied just 23% of the ion mobility drift space, yet inclusion of ion mobility nearly doubled the overall peak capacity. Relative to fixed velocity traveling-wave ion mobility settings, ramping the traveling-wave velocity increased drift space occupancy, amplifying resolution by 16%, peak capacity by nearly 50%, and peptide/protein identifications by 40%. Overall, variable-velocity traveling-wave ion mobility-mass spectrometry significantly enhances proteomics analysis in all-ion fragmentation acquisition.
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Affiliation(s)
- Sarah E Haynes
- Department of Chemistry, University of Michigan , 930 N. University Ave., Ann Arbor, Michigan 48109, United States
| | - Daniel A Polasky
- Department of Chemistry, University of Michigan , 930 N. University Ave., Ann Arbor, Michigan 48109, United States
| | - Sugyan M Dixit
- Department of Chemistry, University of Michigan , 930 N. University Ave., Ann Arbor, Michigan 48109, United States
| | - Jaimeen D Majmudar
- Department of Chemistry, University of Michigan , 930 N. University Ave., Ann Arbor, Michigan 48109, United States
| | - Kieran Neeson
- Waters Corporation , Stamford Avenue, Altrincham Road, Wilmslow, SK9 4AX, United Kingdom
| | - Brandon T Ruotolo
- Department of Chemistry, University of Michigan , 930 N. University Ave., Ann Arbor, Michigan 48109, United States
| | - Brent R Martin
- Department of Chemistry, University of Michigan , 930 N. University Ave., Ann Arbor, Michigan 48109, United States
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16
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So CR, Scancella JM, Fears KP, Essock-Burns T, Haynes SE, Leary DH, Diana Z, Wang C, North S, Oh CS, Wang Z, Orihuela B, Rittschof D, Spillmann CM, Wahl KJ. Oxidase Activity of the Barnacle Adhesive Interface Involves Peroxide-Dependent Catechol Oxidase and Lysyl Oxidase Enzymes. ACS Appl Mater Interfaces 2017; 9:11493-11505. [PMID: 28273414 DOI: 10.1021/acsami.7b01185] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Oxidases are found to play a growing role in providing functional chemistry to marine adhesives for the permanent attachment of macrofouling organisms. Here, we demonstrate active peroxidase and lysyl oxidase enzymes in the adhesive layer of adult Amphibalanus amphitrite barnacles through live staining, proteomic analysis, and competitive enzyme assays on isolated cement. A novel full-length peroxinectin (AaPxt-1) secreted by barnacles is largely responsible for oxidizing phenolic chemistries; AaPxt-1 is driven by native hydrogen peroxide in the adhesive and oxidizes phenolic substrates typically preferred by phenoloxidases (POX) such as laccase and tyrosinase. A major cement protein component AaCP43 is found to contain ketone/aldehyde modifications via 2,4-dinitrophenylhydrazine (DNPH) derivatization, also called Brady's reagent, of cement proteins and immunoblotting with an anti-DNPH antibody. Our work outlines the landscape of molt-related oxidative pathways exposed to barnacle cement proteins, where ketone- and aldehyde-forming oxidases use peroxide intermediates to modify major cement components such as AaCP43.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Beatriz Orihuela
- Nicholas School of the Environment and Earth Sciences, Duke University Marine Laboratory , Beaufort, North Carolina 28516, United States
| | - Dan Rittschof
- Nicholas School of the Environment and Earth Sciences, Duke University Marine Laboratory , Beaufort, North Carolina 28516, United States
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17
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Wang Z, Leary DH, Liu J, Settlage RE, Fears KP, North SH, Mostaghim A, Essock-Burns T, Haynes SE, Wahl KJ, Spillmann CM. Molt-dependent transcriptomic analysis of cement proteins in the barnacle Amphibalanus amphitrite. BMC Genomics 2015; 16:859. [PMID: 26496984 PMCID: PMC4619306 DOI: 10.1186/s12864-015-2076-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2015] [Accepted: 10/08/2015] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND A complete understanding of barnacle adhesion remains elusive as the process occurs within and beneath the confines of a rigid calcified shell. Barnacle cement is mainly proteinaceous and several individual proteins have been identified in the hardened cement at the barnacle-substrate interface. Little is known about the molt- and tissue-specific expression of cement protein genes but could offer valuable insight into the complex multi-step processes of barnacle growth and adhesion. METHODS The main body and sub-mantle tissue of the barnacle Amphibalanus amphitrite (basionym Balanus amphitrite) were collected in pre- and post-molt stages. RNA-seq technology was used to analyze the transcriptome for differential gene expression at these two stages and liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) was used to analyze the protein content of barnacle secretions. RESULTS We report on the transcriptomic analysis of barnacle cement gland tissue in pre- and post-molt growth stages and proteomic investigation of barnacle secretions. While no significant difference was found in the expression of cement proteins genes at pre- and post-molting stages, expression levels were highly elevated in the sub-mantle tissue (where the cement glands are located) compared to the main barnacle body. We report the discovery of a novel 114kD cement protein, which is identified in material secreted onto various surfaces by adult barnacles and with the encoding gene highly expressed in the sub-mantle tissue. Further differential gene expression analysis of the sub-mantle tissue samples reveals a limited number of genes highly expressed in pre-molt samples with a range of functions including cuticular development, biominerialization, and proteolytic activity. CONCLUSIONS The expression of cement protein genes appears to remain constant through the molt cycle and is largely confined to the sub-mantle tissue. Our results reveal a novel and potentially prominent protein to the mix of cement-related components in A. amphitrite. Despite the lack of a complete genome, sample collection allowed for extended transcriptomic analysis of pre- and post-molt barnacle samples and identified a number of highly-expressed genes. Our results highlight the complexities of this sessile marine organism as it grows via molt cycles and increases the area over which it exhibits robust adhesion to its substrate.
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Affiliation(s)
- Zheng Wang
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, DC, 20375, USA.
| | - Dagmar H Leary
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, DC, 20375, USA.
| | - Jinny Liu
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, DC, 20375, USA.
| | - Robert E Settlage
- Virginia Bioinformatics Institute, 1015 Life Science Circle, Blacksburg, VA, 24061, USA.
| | - Kenan P Fears
- Chemistry Division, Naval Research Laboratory, Washington, DC, 20375, USA.
| | - Stella H North
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, DC, 20375, USA.
| | - Anahita Mostaghim
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, DC, 20375, USA. .,Present address: Eastern Virginia Medical School, 700 West Olney Road, Norfolk, VA, 23507, USA.
| | - Tara Essock-Burns
- Chemistry Division, Naval Research Laboratory, Washington, DC, 20375, USA. .,Present address: Duke University Marine Laboratory, 135 Duke Marine Lab Rd. Beaufort, North Carolina, 28516, USA.
| | - Sarah E Haynes
- Chemistry Division, Naval Research Laboratory, Washington, DC, 20375, USA. .,Present address: Department of Chemistry, University of Michigan, 930 N. University Avenue, Ann Arbor, MI, 48109, USA.
| | - Kathryn J Wahl
- Chemistry Division, Naval Research Laboratory, Washington, DC, 20375, USA.
| | - Christopher M Spillmann
- Center for Bio/Molecular Science and Engineering, Naval Research Laboratory, Washington, DC, 20375, USA.
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18
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Kovacs GT, Westcott M, Rusden J, Asche V, King H, Haynes SE, Moore EK, Hall BE. A prospective single-blind trial of minocycline and doxycycline in the treatment of genital Chlamydia trachomatis infection in women. Med J Aust 1989; 150:483-5. [PMID: 2725404 DOI: 10.5694/j.1326-5377.1989.tb136591.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
A total of 2124 women who attended the Richmond Family Planning Association Clinic in Melbourne consecutively were screened for the presence or absence of Chlamydia trachomatis. One hundred and three women were found to have Chl. trachomatis infection of the cervix and were invited to participate in a clinical trial of minocycline and doxycycline for the treatment of chlamydial infection. A 10-day course of either drug resulted in a negative result of a chlamydial culture for all patients at the follow-up assessment, which occurred between 11 days to 12 weeks after the therapy. Minocycline and doxycycline showed equal effectiveness in the eradication of mycoplasmas in over 80% of the treated patients. Minocycline appeared to have a slight advantage with respect to the resolution of the gynaecological symptoms that were associated with the chlamydial infection. The number of adverse events that were recorded during the trial was similar for both treatment regimens. Gynaecological symptoms were associated with chlamydial infection in approximately 50% of the women in the study. The lack of association between chlamydial infection and gynaecological symptoms has led to the instigation of routine testing for the presence of Chlamydia spp. in young women who have more than one sexual partner.
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Affiliation(s)
- G T Kovacs
- Family Planning Association of Victoria, Richmond
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Kovacs GT, Westcott M, Rusden J, Asche V, King H, Haynes SE, Moore EK, Hall BE. Microbiological profile of the cervix in 1,000 sexually active women. Aust N Z J Obstet Gynaecol 1988; 28:216-20. [PMID: 3148302 DOI: 10.1111/j.1479-828x.1988.tb01667.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
One thousand consecutive women who attended the Richmond Family Planning Association Clinic and who were to undergo a vaginal examination were asked to participate in a large prospective microbiological study. Participants were questioned about their sexual activity during the previous 12 months and any apparent signs of sexually transmitted disease. On examination the cervix was inspected for evidence of inflammation, ectopy or discharge and cervical swabs were taken microbiological assessment. Chlamydia trachomatis was isolated in 5.1% of women tested while Ureaplasma urealyticum and Mycoplasma hominis were found in 48.8% and 16.4% of women respectively. Significant associations were found between the number of sexual partners during the previous 12 months and the incidence of all 3 organisms. The carriage rate of the genital mycoplasmas was significantly affected by the type of contraception. In addition the association between the presence of the genital mycoplasmas and pelvic and cervical abnormalities was determined.
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Affiliation(s)
- G T Kovacs
- Family Planning Association of Victoria, Richmond
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Kovacs GT, Westcott M, Rusden J, Asche V, King H, Haynes SE, Moore EK, Ketelbey JW. The prevalence of Chlamydia trachomatis in a young, sexually-active population. Med J Aust 1987; 147:550-2. [PMID: 3501060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
A prospective study was carried out to determine the prevalence of Chlamydia trachomatis among 1000 sexually-active women at the Family Planning Association Clinic in Melbourne. This organism was isolated from the cervices of 5.1% of screened women. The women were surveyed about their sexual and gynaecological history, and symptoms of discharge or pain. It was found that women who gave positive results for the presence of Chlamydia were younger, and had commenced intercourse at an earlier age. Risk factors of multiple sexual partners, cervical ectopy and symptoms of urethritis were identified. We recommend that women who have more than one sexual partner should ask their partners to use condoms or, failing this, undergo annual screening for Chlamydia by immunofluorescent staining.
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Affiliation(s)
- G T Kovacs
- Family Planning Association of Victoria, Richmond
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Abstract
Two mouse X sheep interspecific cell hybrids were obtained by fusing mouse myeloma cell line Sp2/O. Ag14 with sheep lymphocytes obtained from a lymph node antigenically stimulated with azo-benzene arsonate-ovalbumin (ABA-ova). The interspecific cell lines were characterized using immunochemical, karyotypic and molecular DNA techniques. Both cell lines secreted sheep IgG1 antibody specific for the ABA haptenic determinant. Karyotypic analysis revealed that cell lines 4.11 and 11.9 had modal chromosome numbers of 91 and 106, respectively. Although C-banded spreads confirmed that fusion between sheep and mouse cells had occurred, it was not possible to differentiate sheep from mouse chromosomes. However, DNA hybridization techniques showed that each line contained sheep repetitive sequence DNA. It was calculated that cell line 11.9 contained 17640 copies while cell line 4.11 contained 734 copies of the previously characterized sheep satellite DNA.
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Haynes SE, Phillips L, Votey HL. An econometric test of structural change in the demographic transition. Scand J Econ 1985; 87:554-567. [PMID: 12267783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
"The structural change model of the demographic transition developed by Easterlin and others is explored empirically by applying the Brown, Durbin and Evans test of structural change to annual data from the transitions of Sweden, Norway, England and Wales, and Finland. The evidence strongly supports the structural change model over traditional models (based on gradual changes in explanatory variables), indicating a supply response of fertility to declining illness and death during the early stages of transition, and a demand response to the death of children during the latter stages, when families are likely to have achieved desired size."
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Haynes SE. The subtle danger of symmetry restrictions in time series regressions, with application to fertility models. South Econ J 1983; 50:521-528. [PMID: 12339352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
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Abstract
Although no major structural or numerical abnormalities were found in the karyotypes of 12 aborted equine fetuses, two unrelated abortuses each carried a large polymorphism for the amount of heterochromatin in chromosome 1. In both karyotypes this chromosome was shown to be larger than its homolog. To determine the nature of the extra DNA in these chromosomes, equine DNA was isolated and characterized by buoyant density analysis. Equine mainband DNA had a buoyant density in neutral CsCl of 1.699 g/cm3, while the highly repetitive (dG+dC)-rich fraction had a buoyant density of 1.715 g/cm3. A radioactive RNA probe complementary to the purified satellite fraction was used for in situ hybridization to chromosomal spreads containing the enlarged chromosome 1. The results indicated that an increase in highly repetitive (dG+dC)-rich DNA was responsible for the increase in the size of the abnormal No. 1 chromosomes. While two of the 12 aborted fetuses exhibited marked heterochromatic dimorphisms, none of the karyotypes obtained from individuals with no family history of abortion exhibited such obvious polymorphisms.
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