1
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Koenig C, Bortel P, Paterson RS, Rendl B, Madupe PP, Troché GB, Hermann NV, Martínez de Pinillos M, Martinón-Torres M, Mularczyk S, Schjellerup Jørkov ML, Gerner C, Kanz F, Martinez-Val A, Cappellini E, Olsen JV. Automated High-Throughput Biological Sex Identification from Archeological Human Dental Enamel Using Targeted Proteomics. J Proteome Res 2024. [PMID: 39324540 DOI: 10.1021/acs.jproteome.4c00557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2024]
Abstract
Biological sex is key information for archeological and forensic studies, which can be determined by proteomics. However, the lack of a standardized approach for fast and accurate sex identification currently limits the reach of proteomics applications. Here, we introduce a streamlined mass spectrometry (MS)-based workflow for the determination of biological sex using human dental enamel. Our approach builds on a minimally invasive sampling strategy by acid etching, a rapid online liquid chromatography (LC) gradient coupled to a high-resolution parallel reaction monitoring (PRM) assay allowing for a throughput of 200 samples per day (SPD) with high quantitative performance enabling confident identification of both males and females. Additionally, we developed a streamlined data analysis pipeline and integrated it into a Shiny interface for ease of use. The method was first developed and optimized using modern teeth and then validated in an independent set of deciduous teeth of known sex. Finally, the assay was successfully applied to archeological material, enabling the analysis of over 300 individuals. We demonstrate unprecedented performance and scalability, speeding up MS analysis by 10-fold compared to conventional proteomics-based sex identification methods. This work paves the way for large-scale archeological or forensic studies enabling the investigation of entire populations rather than focusing on individual high-profile specimens. Data are available via ProteomeXchange with the identifier PXD049326.
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Affiliation(s)
- Claire Koenig
- Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Patricia Bortel
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str.38, 1090 Vienna, Austria
- Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Waehringer Str. 42, 1090 Vienna, Austria
| | - Ryan S Paterson
- Geogenetics Section, Globe Institute, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Barbara Rendl
- Center for Forensic Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Palesa P Madupe
- Geogenetics Section, Globe Institute, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Gaudry B Troché
- Geogenetics Section, Globe Institute, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Nuno Vibe Hermann
- Pediatric Dentistry and Clinical Genetics, Department of Odontology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Marina Martínez de Pinillos
- Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Paseo Sierra de Atapuerca 3, Burgos 09002, Spain
| | - María Martinón-Torres
- Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Paseo Sierra de Atapuerca 3, Burgos 09002, Spain
- Department of Anthropology, University College London (UCL), 14 Taviton Street, London WC1H 0BW, United Kingdom
| | - Sandra Mularczyk
- Laboratory of Biological Anthropology, Globe Institute, University of Copenhagen, 1307 Copenhagen, Denmark
| | | | - Christopher Gerner
- Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str.38, 1090 Vienna, Austria
- Joint Metabolome Facility, University of Vienna and Medical University of Vienna, Waehringer Str.38, 1090 Vienna, Austria
| | - Fabian Kanz
- Center for Forensic Medicine, Medical University of Vienna, 1090 Vienna, Austria
| | - Ana Martinez-Val
- Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Enrico Cappellini
- Geogenetics Section, Globe Institute, University of Copenhagen, 1350 Copenhagen, Denmark
| | - Jesper V Olsen
- Novo Nordisk Foundation Center for Protein Research, Proteomics Program, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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2
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Nguyen TT, Kane MA, Swaan PW. Determination of Site-Specific Phosphorylation Occupancy Using Targeted Mass Spectrometry Reveals the Regulation of Human Apical Bile Acid Transporter, ASBT. ACS OMEGA 2024; 9:38477-38489. [PMID: 39310206 PMCID: PMC11411523 DOI: 10.1021/acsomega.4c02999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 08/06/2024] [Accepted: 08/07/2024] [Indexed: 09/25/2024]
Abstract
The human apical bile acid transporter (hASBT, SLC10A2) reabsorbs bile acids in the distal ileum, facilitating their recycling to the liver and resecretion. Its activity has been implicated in various disease states, including Crohn's disease, hypercholesterolemia, cholestasis, and type-2 diabetes. Post-translational modifications such as N-glycosylation, ubiquitination, and S-acylation regulate ASBT function by controlling its translocation and stability. However, the precise role of phosphorylation and its relationship with activity remains unknown. Here, we employed parallel reaction monitoring targeted mass spectrometry to investigate ASBT phosphorylation in the presence of various kinase inhibitors and activators. Our study ascertains phosphorylation at multiple sites (Thr330, Ser334, and Ser335), with Ser335 being the predominant phosphosite. We further demonstrate the critical involvement of PKC in regulating ASBT activity by phosphorylation at Ser335. Importantly, we establish a proportional relationship between the phosphorylation level of Ser335 and ASBT bile acid uptake activity. Collectively, our findings shed light on the molecular mechanisms underlying phosphorylation-mediated regulation of ASBT.
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Affiliation(s)
| | - Maureen A. Kane
- Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States
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3
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Cai Y. Conjugation of primary amine groups in targeted proteomics. MASS SPECTROMETRY REVIEWS 2024. [PMID: 39229771 DOI: 10.1002/mas.21906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/21/2024] [Accepted: 08/12/2024] [Indexed: 09/05/2024]
Abstract
Primary amines, in the form of unmodified N-terminus of peptide/protein and unmodified lysine residue, are perhaps the most important functional groups that can serve as the starting points in proteomic analysis, especially via mass spectrometry-based approaches. A variety of multifunctional probes that conjugate primary amine groups through covalent bonds have been developed and employed to facilitate protein/protein complex characterization, including identification, quantification, structure and localization elucidation, protein-protein interaction investigation, and so forth. As an integral part of more accurate peptide quantification in targeted proteomics, isobaric stable isotope-coded primary amine labeling approaches eventually facilitated protein/peptide characterization at the single-cell level, paving the way for single-cell proteomics. The development and advances in the field can be reviewed in terms of key components of a multifunctional probe: functional groups and chemistry for primary amine conjugation; hetero-bifunctional moiety for separation/enrichment of conjugated protein/protein complex; and functionalized linker/spacer. Perspectives are primarily focused on optimizing primary amine conjugation under physiological conditions to improve characterization of native proteins, especially those associated with the surface of living cells/microorganisms.
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Affiliation(s)
- Yang Cai
- Department of Chemistry, University of New Orleans, New Orleans, Louisiana, USA
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4
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Banerjee A, Ataman M, Smialek MJ, Mookherjee D, Rabl J, Mironov A, Mues L, Enkler L, Coto-Llerena M, Schmidt A, Boehringer D, Piscuoglio S, Spang A, Mittal N, Zavolan M. Ribosomal protein RPL39L is an efficiency factor in the cotranslational folding of a subset of proteins with alpha helical domains. Nucleic Acids Res 2024; 52:9028-9048. [PMID: 39041433 PMCID: PMC11347166 DOI: 10.1093/nar/gkae630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/05/2024] [Indexed: 07/24/2024] Open
Abstract
Increasingly many studies reveal how ribosome composition can be tuned to optimally translate the transcriptome of individual cell types. In this study, we investigated the expression pattern, structure within the ribosome and effect on protein synthesis of the ribosomal protein paralog 39L (RPL39L). With a novel mass spectrometric approach we revealed the expression of RPL39L protein beyond mouse germ cells, in human pluripotent cells, cancer cell lines and tissue samples. We generated RPL39L knock-out mouse embryonic stem cell (mESC) lines and demonstrated that RPL39L impacts the dynamics of translation, to support the pluripotency and differentiation, spontaneous and along the germ cell lineage. Most differences in protein abundance between WT and RPL39L KO lines were explained by widespread autophagy. By CryoEM analysis of purified RPL39 and RPL39L-containing ribosomes we found that, unlike RPL39, RPL39L has two distinct conformations in the exposed segment of the nascent peptide exit tunnel, creating a distinct hydrophobic patch that has been predicted to support the efficient co-translational folding of alpha helices. Our study shows that ribosomal protein paralogs provide switchable modular components that can tune translation to the protein production needs of individual cell types.
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Affiliation(s)
| | - Meric Ataman
- Biozentrum, University of Basel, Basel, Switzerland
| | - Maciej Jerzy Smialek
- Biozentrum, University of Basel, Basel, Switzerland
- Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| | | | - Julius Rabl
- Cryo-EM Knowledge Hub (CEMK), ETH Zürich, Switzerland
| | | | - Lea Mues
- Biozentrum, University of Basel, Basel, Switzerland
| | - Ludovic Enkler
- Biozentrum, University of Basel, Basel, Switzerland
- University of Strasbourg, UMR7156 GMGM, Strasbourg, France
| | - Mairene Coto-Llerena
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
| | | | | | - Salvatore Piscuoglio
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Switzerland
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Anne Spang
- Biozentrum, University of Basel, Basel, Switzerland
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5
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Feierman ER, Louzon S, Prescott NA, Biaco T, Gao Q, Qiu Q, Choi K, Palozola KC, Voss AJ, Mehta SD, Quaye CN, Lynch KT, Fuccillo MV, Wu H, David Y, Korb E. Histone variant H2BE enhances chromatin accessibility in neurons to promote synaptic gene expression and long-term memory. Mol Cell 2024; 84:2822-2837.e11. [PMID: 39025074 PMCID: PMC11316635 DOI: 10.1016/j.molcel.2024.06.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 05/02/2024] [Accepted: 06/24/2024] [Indexed: 07/20/2024]
Abstract
Histone proteins affect gene expression through multiple mechanisms, including through exchange with histone variants. Recent findings link histone variants to neurological disorders, yet few are well studied in the brain. Most notably, widely expressed variants of H2B remain elusive. We applied recently developed antibodies, biochemical assays, and sequencing approaches to reveal broad expression of the H2B variant H2BE and defined its role in regulating chromatin structure, neuronal transcription, and mouse behavior. We find that H2BE is enriched at promoters, and a single unique amino acid allows it to dramatically enhance chromatin accessibility. Further, we show that H2BE is critical for synaptic gene expression and long-term memory. Together, these data reveal a mechanism linking histone variants to chromatin accessibility, transcriptional regulation, neuronal function, and memory. This work further identifies a widely expressed H2B variant and uncovers a single histone amino acid with profound effects on genomic structure.
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Affiliation(s)
- Emily R Feierman
- Neuroscience Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Sean Louzon
- Cell and Molecular Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Nicholas A Prescott
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Tri-institutional PhD Program in Chemical Biology, New York, NY, USA
| | - Tracy Biaco
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Tri-institutional PhD Program in Chemical Biology, New York, NY, USA
| | - Qingzeng Gao
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Qi Qiu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kyuhyun Choi
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Katherine C Palozola
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Anna J Voss
- Neuroscience Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Shreya D Mehta
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Camille N Quaye
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Katherine T Lynch
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marc V Fuccillo
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Hao Wu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yael David
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Tri-institutional PhD Program in Chemical Biology, New York, NY, USA
| | - Erica Korb
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA; Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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6
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Nishizawa C, Aburaya S, Kosaka Y, Sugase K, Aoki W. Optimizing in vitro expression balance of central dogma-related genes using parallel reaction monitoring. J Biosci Bioeng 2024; 138:97-104. [PMID: 38762340 DOI: 10.1016/j.jbiosc.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/05/2024] [Accepted: 04/25/2024] [Indexed: 05/20/2024]
Abstract
The creation of a self-replicating synthetic cell is an essential to understand life self-replication. One method to create self-replicating artificial cells is to reconstitute the self-replication system of living organisms in vitro. In a living cell, self-replication is achieved via a system called the autonomous central dogma, a system in which central dogma-related factors are autonomously synthesized and genome replication, transcription, and translation are driven by nascent factors. Various studies to reconstitute some processes of the autonomous central dogma in vitro have been conducted. However, in vitro reconstitution of the entire autonomous central dogma system is difficult as it requires balanced expression of several related genes. Therefore, we developed a method to simultaneously quantify and optimize the in vitro expression balance of multiple genes. First, we developed a quantitative mass spectrometry method targeting genome replication-related proteins as a model of central dogma-related factors and acquired in vitro expression profiles of these genes. Additionally, we demonstrated that the in vitro expression balance of these genes can be easily optimized by adjusting the input gene ratio based on the data obtained by the developed method. This study facilitated the easy optimization of the in vitro expression balance of multiple genes. Therefore, extending the scope of this method to other central dogma-related factors will accelerate attempts of self-replicating synthetic cells creation.
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Affiliation(s)
- Chisato Nishizawa
- Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.
| | - Shunsuke Aburaya
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
| | - Yuishin Kosaka
- Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan; Japan Society for the Promotion of Science 606-8502, Kyoto, Japan.
| | - Kenji Sugase
- Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.
| | - Wataru Aoki
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka 565-0871, Japan; Kyoto Integrated Science & Technology Bio-Analysis Center, Kyoto 600-8815, Japan.
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7
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Cai J, Yun Q, Zhang CY, Wang Z, Hinshaw SM, Zhou H, Suhandynata RT. Concatemer Assisted Stoichiometry Analysis (CASA): targeted mass spectrometry for protein quantification. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.26.605382. [PMID: 39091769 PMCID: PMC11291133 DOI: 10.1101/2024.07.26.605382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Large multi-protein machines are central to multiple biological processes. However, stoichiometric determination of protein complex subunits in their native states presents a significant challenge. This study addresses the limitations of current tools in accuracy and precision by introducing concatemer-assisted stoichiometry analysis (CASA). CASA leverages stable isotope-labeled concatemers and liquid chromatography parallel reaction monitoring mass spectrometry (LC-PRM-MS) to achieve robust quantification of proteins with sub-femtomole sensitivity. As a proof-of-concept, CASA was applied to study budding yeast kinetochores. Stoichiometries were determined for ex vivo reconstituted kinetochore components, including the canonical H3 nucleosomes, centromeric (Cse4CENP-A) nucleosomes, centromere proximal factors (Cbf1 and CBF3 complex), inner kinetochore proteins (Mif2CENP-C, Ctf19CCAN complex), and outer kinetochore proteins (KMN network). Absolute quantification by CASA revealed Cse4CENP-A as a cell-cycle controlled limiting factor for kinetochore assembly. These findings demonstrate that CASA is applicable for stoichiometry analysis of multi-protein assemblies.
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Affiliation(s)
- Jiaxi Cai
- Department of Cellular and Molecular Medicine, University of California, San Diego, California
- Department of Bioengineering, University of California, San Diego, California
| | - Quan Yun
- Department of Cellular and Molecular Medicine, University of California, San Diego, California
| | - Cindy Yuxuan Zhang
- Department of Cellular and Molecular Medicine, University of California, San Diego, California
| | - Ziyi Wang
- Department of Cellular and Molecular Medicine, University of California, San Diego, California
| | - Stephen M. Hinshaw
- Department of Chemical and Systems Biology, Stanford University, Palo Alto, California
| | - Huilin Zhou
- Department of Cellular and Molecular Medicine, University of California, San Diego, California
- Department of Bioengineering, University of California, San Diego, California
- Moores Cancer Center, University of California, San Diego, California
| | - Raymond T. Suhandynata
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California
- Department of Pathology, University of California, San Diego, California
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8
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Feierman ER, Louzon S, Prescott NA, Biaco T, Gao Q, Qiu Q, Choi K, Palozola KC, Voss AJ, Mehta SD, Quaye CN, Lynch KT, Fuccillo MV, Wu H, David Y, Korb E. Histone variant H2BE enhances chromatin accessibility in neurons to promote synaptic gene expression and long-term memory. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.29.575103. [PMID: 38352334 PMCID: PMC10862743 DOI: 10.1101/2024.01.29.575103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Regulation of histone proteins affects gene expression through multiple mechanisms including exchange with histone variants. However, widely expressed variants of H2B remain elusive. Recent findings link histone variants to neurological disorders, yet few are well studied in the brain. We applied new tools including novel antibodies, biochemical assays, and sequencing approaches to reveal broad expression of the H2B variant H2BE, and defined its role in regulating chromatin structure, neuronal transcription, and mouse behavior. We find that H2BE is enriched at promoters and a single unique amino acid allows it to dramatically enhance chromatin accessibility. Lastly, we show that H2BE is critical for synaptic gene expression and long-term memory. Together, these data reveal a novel mechanism linking histone variants to chromatin regulation, neuronal function, and memory. This work further identifies the first widely expressed H2B variant and uncovers a single histone amino acid with profound effects on genomic structure.
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Affiliation(s)
- Emily R. Feierman
- Neuroscience Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Sean Louzon
- Cell and Molecular Biology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Nicholas A. Prescott
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Tri-institutional PhD Program in Chemical Biology, New York, NY
| | - Tracy Biaco
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Tri-institutional PhD Program in Chemical Biology, New York, NY
| | - Qingzeng Gao
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Qi Qiu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Kyuhyun Choi
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Katherine C. Palozola
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Anna J. Voss
- Neuroscience Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Shreya D. Mehta
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Camille N. Quaye
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Katherine T. Lynch
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Marc V. Fuccillo
- Department of Neuroscience, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Hao Wu
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Yael David
- Chemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Tri-institutional PhD Program in Chemical Biology, New York, NY
| | - Erica Korb
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
- Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
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9
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Pang M, Jones JJ, Wang TY, Quan B, Kubat NJ, Qiu Y, Roukes ML, Chou TF. Increasing Proteome Coverage Through a Reduction in Analyte Complexity in Single-Cell Equivalent Samples. J Proteome Res 2024. [PMID: 38832920 DOI: 10.1021/acs.jproteome.4c00062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
The advancement of sophisticated instrumentation in mass spectrometry has catalyzed an in-depth exploration of complex proteomes. This exploration necessitates a nuanced balance in experimental design, particularly between quantitative precision and the enumeration of analytes detected. In bottom-up proteomics, a key challenge is that oversampling of abundant proteins can adversely affect the identification of a diverse array of unique proteins. This issue is especially pronounced in samples with limited analytes, such as small tissue biopsies or single-cell samples. Methods such as depletion and fractionation are suboptimal to reduce oversampling in single cell samples, and other improvements on LC and mass spectrometry technologies and methods have been developed to address the trade-off between precision and enumeration. We demonstrate that by using a monosubstrate protease for proteomic analysis of single-cell equivalent digest samples, an improvement in quantitative accuracy can be achieved, while maintaining high proteome coverage established by trypsin. This improvement is particularly vital for the field of single-cell proteomics, where single-cell samples with limited number of protein copies, especially in the context of low-abundance proteins, can benefit from considering analyte complexity. Considerations about analyte complexity, alongside chromatographic complexity, integration with data acquisition methods, and other factors such as those involving enzyme kinetics, will be crucial in the design of future single-cell workflows.
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Affiliation(s)
- Marion Pang
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Jeff J Jones
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
- Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Ting-Yu Wang
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
- Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Baiyi Quan
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Nicole J Kubat
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Yanping Qiu
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
- Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
| | - Michael L Roukes
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
- Division of Engineering and Applied Science, California Institute of Technology, 1200 East California Blvd, Pasadena, California 91125, United States
| | - Tsui-Fen Chou
- Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
- Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125, United States
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10
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Plubell DL, Huang E, Spencer SE, Poston K, Montine TJ, MacCoss MJ. Data Independent Acquisition to Inform the Development of Targeted Proteomics Assays Using a Triple Quadrupole Mass Spectrometer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.29.596554. [PMID: 38853953 PMCID: PMC11160738 DOI: 10.1101/2024.05.29.596554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Mass spectrometry based targeted proteomics methods provide sensitive and high-throughput analysis of selected proteins. To develop a targeted bottom-up proteomics assay, peptides must be evaluated as proxies for the measurement of a protein or proteoform in a biological matrix. Candidate peptide selection typically relies on predetermined biochemical properties, data from semi-stochastic sampling, or by empirical measurements. These strategies require extensive testing and method refinement due to the difficulties associated with prediction of peptide response in the biological matrix of interest. Gas-phase fractionated (GPF) narrow window data-independent acquisition (DIA) aids in the development of reproducible selected reaction monitoring (SRM) assays by providing matrix-specific information on peptide detectability and quantification by mass spectrometry. To demonstrate the suitability of DIA data for selecting peptide targets, we reimplement a portion of an existing assay to measure 98 Alzheimer's disease proteins in cerebrospinal fluid (CSF). Peptides were selected from GPF-DIA based on signal intensity and reproducibility. The resulting SRM assay exhibits similar quantitative precision to published data, despite the inclusion of different peptides between the assays. This workflow enables development of new assays without additional up-front data acquisition, demonstrated here through generation of a separate assay for an unrelated set of proteins in CSF from the same dataset.
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Affiliation(s)
- Deanna L Plubell
- University of Washington, Department of Genome Sciences, Seattle, WA, 98195, USA
| | - Eric Huang
- University of Washington, Department of Genome Sciences, Seattle, WA, 98195, USA
| | - Sandra E Spencer
- University of Washington, Department of Genome Sciences, Seattle, WA, 98195, USA
| | - Kathleen Poston
- Stanford University, Department of Neurology & Neurological Sciences, Stanford, CA, 94305, USA
| | - Thomas J Montine
- Stanford University, Department of Pathology, Stanford, CA, 94305, USA
| | - Michael J MacCoss
- University of Washington, Department of Genome Sciences, Seattle, WA, 98195, USA
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11
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Peters-Clarke TM, Coon JJ, Riley NM. Instrumentation at the Leading Edge of Proteomics. Anal Chem 2024; 96:7976-8010. [PMID: 38738990 DOI: 10.1021/acs.analchem.3c04497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Affiliation(s)
- Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Morgridge Institute for Research, Madison, Wisconsin 53715, United States
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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12
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Wallace Z, Heunis T, Paterson RL, Suckling RJ, Grant T, Dembek M, Donoso J, Brener J, Long J, Bunjobpol W, Gibbs-Howe D, Kay DP, Leneghan DB, Godinho LF, Walker A, Singh PK, Knox A, Leonard S, Dorrell L. Instability of the HLA-E peptidome of HIV presents a major barrier to therapeutic targeting. Mol Ther 2024; 32:678-688. [PMID: 38219014 PMCID: PMC10928138 DOI: 10.1016/j.ymthe.2024.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 11/14/2023] [Accepted: 01/08/2024] [Indexed: 01/15/2024] Open
Abstract
Naturally occurring T cells that recognize microbial peptides via HLA-E, a nonpolymorphic HLA class Ib molecule, could provide the foundation for new universal immunotherapeutics. However, confidence in the biological relevance of putative ligands is crucial, given that the mechanisms by which pathogen-derived peptides can access the HLA-E presentation pathway are poorly understood. We systematically interrogated the HIV proteome using immunopeptidomic and bioinformatic approaches, coupled with biochemical and cellular assays. No HIV HLA-E peptides were identified by tandem mass spectrometry analysis of HIV-infected cells. In addition, all bioinformatically predicted HIV peptide ligands (>80) were characterized by poor complex stability. Furthermore, infected cell elimination assays using an affinity-enhanced T cell receptor bispecific targeted to a previously reported HIV Gag HLA-E epitope demonstrated inconsistent presentation of the peptide, despite normal HLA-E expression on HIV-infected cells. This work highlights the instability of the HIV HLA-E peptidome as a major challenge for drug development.
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Affiliation(s)
- Zoë Wallace
- Immunocore Ltd., Abingdon, Oxfordshire OX14 4RY, UK.
| | - Tiaan Heunis
- Immunocore Ltd., Abingdon, Oxfordshire OX14 4RY, UK
| | | | | | | | | | - Jose Donoso
- Immunocore Ltd., Abingdon, Oxfordshire OX14 4RY, UK
| | | | - Joshua Long
- Immunocore Ltd., Abingdon, Oxfordshire OX14 4RY, UK
| | | | | | - Daniel P Kay
- Immunocore Ltd., Abingdon, Oxfordshire OX14 4RY, UK
| | | | | | | | | | - Andrew Knox
- Immunocore Ltd., Abingdon, Oxfordshire OX14 4RY, UK
| | | | - Lucy Dorrell
- Immunocore Ltd., Abingdon, Oxfordshire OX14 4RY, UK
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13
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Hu E, Yang T, Cai L, Ouyang J, Wang F, Li Z, Wang Y, Xing X, Liu X. Proteomic Analysis Identifies GSN as a Noninvasive Circulating Serum Biomarker for Predicting Early Recurrence of Hepatocellular Carcinoma. J Proteome Res 2024; 23:1062-1074. [PMID: 38373391 DOI: 10.1021/acs.jproteome.3c00813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
Hepatocellular carcinoma (HCC) is susceptible to early recurrence, but it lacks effective predictive biomarkers. In this study, we retrospectively selected 179 individuals as a discovery cohort (126 HCC patients and 53 liver cirrhosis (LC) patients) for screening candidate serum biomarkers of early recurrence based on data independent acquisition-mass spectrometry strategy. And then, the candidate biomarkers were validated in an additional independent cohort with 192 individuals (142 HCC patients and 50 LC patients) using parallel reaction monitoring targeted quantitative techniques (PXD047852). Eventually, we validated that gelsolin (GSN) concentrations were significantly lower in HCC than in LC (p < 0.0001), patients with low GSN concentrations had a poor prognosis (p < 0.0001), and GSN concentrations were significantly lower in early recurrence HCC than in late recurrence HCC (p < 0.0001). These trends were also observed in alpha-fetoprotein (AFP)-negative HCC patients. The area under the curve of machine-learning-based predictive model (GSN and microvascular invasion) for predicting early recurrence risk reached 0.803 (95% confidence interval (CI): 0.786-0.820) and maintained the same efficacy in AFP-negative patients. In conclusion, GSN is a novel serum biomarker for early recurrence of HCC. The model could provide timely warning to HCC patients at high risk of recurrence.
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Affiliation(s)
- En Hu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Tao Yang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Linsheng Cai
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Jiahe Ouyang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Fei Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Zongman Li
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Yingchao Wang
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaohua Xing
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
| | - Xiaolong Liu
- The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, China
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14
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Joshi SK, Piehowski P, Liu T, Gosline SJC, McDermott JE, Druker BJ, Traer E, Tyner JW, Agarwal A, Tognon CE, Rodland KD. Mass Spectrometry-Based Proteogenomics: New Therapeutic Opportunities for Precision Medicine. Annu Rev Pharmacol Toxicol 2024; 64:455-479. [PMID: 37738504 PMCID: PMC10950354 DOI: 10.1146/annurev-pharmtox-022723-113921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
Proteogenomics refers to the integration of comprehensive genomic, transcriptomic, and proteomic measurements from the same samples with the goal of fully understanding the regulatory processes converting genotypes to phenotypes, often with an emphasis on gaining a deeper understanding of disease processes. Although specific genetic mutations have long been known to drive the development of multiple cancers, gene mutations alone do not always predict prognosis or response to targeted therapy. The benefit of proteogenomics research is that information obtained from proteins and their corresponding pathways provides insight into therapeutic targets that can complement genomic information by providing an additional dimension regarding the underlying mechanisms and pathophysiology of tumors. This review describes the novel insights into tumor biology and drug resistance derived from proteogenomic analysis while highlighting the clinical potential of proteogenomic observations and advances in technique and analysis tools.
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Affiliation(s)
- Sunil K Joshi
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Paul Piehowski
- Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Tao Liu
- Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Sara J C Gosline
- Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Jason E McDermott
- Pacific Northwest National Laboratory, Richland, Washington, USA
- Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, Oregon, USA
| | - Brian J Druker
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Elie Traer
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Jeffrey W Tyner
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, Oregon, USA
| | - Anupriya Agarwal
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Department of Molecular Microbiology and Immunology, Oregon Health & Science University, Portland, Oregon, USA
| | - Cristina E Tognon
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Division of Hematology and Medical Oncology, Department of Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Karin D Rodland
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA;
- Pacific Northwest National Laboratory, Richland, Washington, USA
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15
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Xu Z, Xie Y, Wu C, Gu T, Zhang X, Yang J, Yang H, Zheng E, Huang S, Xu Z, Li Z, Cai G, Liu D, Hong L, Wu Z. The effects of boar seminal plasma extracellular vesicles on sperm fertility. Theriogenology 2024; 213:79-89. [PMID: 37816296 DOI: 10.1016/j.theriogenology.2023.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 09/28/2023] [Accepted: 09/30/2023] [Indexed: 10/12/2023]
Abstract
Extracellular vesicles (EVs) are abundant in body fluid and are critical in cell interaction. Seminal plasma contains numerous EVs which affecting sperm function via transferring regulatory cargoes to the sperm. However, the mechanism of seminal plasma extracellular vesicles (SP-EVs) is still not clear. The present study aimed to isolate the boar SP-EVs and explore its potential function, then identify the key protein involved in SP-EVs and sperms interaction, and elucidate mechanism of SP-EVs protein on sperms. Here, we successfully isolated and concentrated boar SP-EVs, the SP-EVs showed a typical vesicle structure under transmission electron microscopy, most of their diameters range between 50 and 200 nm and express EVs biomarkers CD9 and CD63. We proved that SP-EVs could inhibit sperm acrosome reaction and in vitro fertility. Through a data-independent acquisition analysis of protein profiles of noncapacitated sperms, normal capacitated sperms and SP-EVs treated capacitated sperms, we identified that EZRIN was one of the active proteins that participated in SP-EVs and sperms interaction. Furthermore, we tested that the inhibition of EZRIN could promote boar sperm fertility, which is in consistence with the function of SP-EVs. The results may facilitate future research of SP-EVs on sperm function and male infertility.
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Affiliation(s)
- Zhiqian Xu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China; College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, 471023, Henan, China
| | - Yanshe Xie
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Changhua Wu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Ting Gu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Xianwei Zhang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Wens Foodstuff Group Co., Ltd., Yunfu, 527400, Guangdong, China
| | - Jie Yang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Huaqiang Yang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Enqin Zheng
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Sixiu Huang
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Zheng Xu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Zicong Li
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Gengyuan Cai
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Dewu Liu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China
| | - Linjun Hong
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China.
| | - Zhenfang Wu
- National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China; Lingnan Guangdong Laboratory of Modern Agriculture, Guangzhou, 510642, Guangdong, China; Wens Foodstuff Group Co., Ltd., Yunfu, 527400, Guangdong, China.
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16
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Chen YT, Liao WR, Wang HT, Chen HW, Chen SF. Targeted protein quantitation in human body fluids by mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:2379-2403. [PMID: 35702881 DOI: 10.1002/mas.21788] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/11/2022] [Accepted: 04/08/2022] [Indexed: 06/15/2023]
Abstract
Human body fluids (biofluids) contain various proteins, some of which reflect individuals' physiological conditions or predict diseases. Therefore, the analysis of biofluids can provide substantial information on novel biomarkers for clinical diagnosis and prognosis. In the past decades, mass spectrometry (MS)-based technologies have been developed as proteomic strategies not only for the identification of protein biomarkers but also for biomarker verification/validation in body fluids for clinical applications. The main advantage of targeted MS-based methodologies is the accurate and specific simultaneous quantitation of multiple biomarkers with high sensitivity. Here, we review MS-based methodologies that are currently used for the targeted quantitation of protein components in human body fluids, especially in plasma, urine, cerebrospinal fluid, and saliva. In addition, the currently used MS-based methodologies are summarized with a specific focus on applicable clinical sample types, MS configurations, and acquisition modes.
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Affiliation(s)
- Yi-Ting Chen
- Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Medical Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Molecular and Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wan-Rou Liao
- Department of Chemistry, National Taiwan Normal University, Taipei, Taiwan
| | - Hsueh-Ting Wang
- Instrumentation Center, National Taiwan Normal University, Taipei, Taiwan
| | - Hsiao-Wei Chen
- Molecular and Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Sung-Fang Chen
- Department of Chemistry, National Taiwan Normal University, Taipei, Taiwan
- Instrumentation Center, National Taiwan Normal University, Taipei, Taiwan
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17
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Chua JQI, Christensen TEK, Palle J, Wittig NK, Grünewald TA, Garrevoet J, Spiers KM, Castillo-Michel H, Schramm A, Chien WL, Sobota RM, Birkedal H, Miserez A. Biomineralization of mantis shrimp dactyl club following molting: Apatite formation and brominated organic components. Acta Biomater 2023; 170:479-495. [PMID: 37659728 DOI: 10.1016/j.actbio.2023.08.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 08/21/2023] [Accepted: 08/28/2023] [Indexed: 09/04/2023]
Abstract
The stomatopod Odontodactylus scyllarus uses weaponized club-like appendages to attack its prey. These clubs are made of apatite, chitin, amorphous calcium carbonate, and amorphous calcium phosphate organized in a highly hierarchical structure with multiple regions and layers. We follow the development of the biomineralized club as a function of time using clubs harvested at specific times since molting. The clubs are investigated using a broad suite of techniques to unravel the biomineralization history of the clubs. Nano focus synchrotron x-ray diffraction and x-ray fluorescence experiments reveal that the club structure is more organized with more sub-regions than previously thought. The recently discovered impact surface has crystallites in a different size and orientation than those in the impact region. The crystal unit cell parameters vary to a large degree across individual samples, which indicates a spatial variation in the degree of chemical substitution. Energy dispersive spectroscopy and Raman spectroscopy show that this variation cannot be explained by carbonation and fluoridation of the lattice alone. X-ray fluorescence and mass spectroscopy show that the impact surface is coated with a thin membrane rich in bromine that forms at very initial stages of club formation. Proteomic studies show that a fraction of the club mineralization protein-1 has brominated tyrosine suggesting that bromination of club proteins at the club surface is an integral component of the club design. Taken together, the data unravel the spatio-temporal changes in biomineral structure during club formation. STATEMENT OF SIGNIFICANCE: Mantis shrimp hunt using club-like appendages that contain apatite, chitin, amorphous calcium carbonate, and amorphous calcium phosphate ordered in a highly hierarchical structure. To understand the formation process of the club we analyze clubs harvested at specific times since molting thereby constructing a club formation map. By combining several methods ranging from position resolved synchrotron X-ray diffraction to proteomics, we reveal that clubs form from an organic membrane with brominated protein and that crystalline apatite phases are present from the very onset of club formation and grow in relative importance over time. This reveals a complex biomineralization process leading to these fascinating biomineralized tools.
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Affiliation(s)
- Jia Qing Isaiah Chua
- Biological and Biomimetic Materials Laboratory, Center for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University (NTU), 50 Nanyang Avenue, 639798, Singapore
| | - Thorbjørn Erik Køppen Christensen
- Center for Integrated Materials Research, Department of Chemistry and iNANO, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus, Denmark; Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences
| | - Jonas Palle
- Center for Integrated Materials Research, Department of Chemistry and iNANO, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus, Denmark
| | - Nina Kølln Wittig
- Center for Integrated Materials Research, Department of Chemistry and iNANO, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus, Denmark
| | - Tilman A Grünewald
- European Synchrotron Radiation Facility (ESRF), Avenue des Martyrs 71, 38000 Grenoble, France
| | - Jan Garrevoet
- Deutsches Elektronen Synchrotron DESY, Notkestr. 85, D-22607 Hamburg, Germany
| | - Kathryn M Spiers
- Deutsches Elektronen Synchrotron DESY, Notkestr. 85, D-22607 Hamburg, Germany
| | - Hiram Castillo-Michel
- European Synchrotron Radiation Facility (ESRF), Avenue des Martyrs 71, 38000 Grenoble, France
| | - Andreas Schramm
- Department of Biology, Section for Microbiology and Center for Electromicrobiology, Aarhus University, Aarhus, DK-8000, Denmark
| | - Wang Loo Chien
- Functional Proteomics Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology, and Research (A*STAR), Singapore 138673, Singapore
| | - Radoslaw M Sobota
- Functional Proteomics Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology, and Research (A*STAR), Singapore 138673, Singapore
| | - Henrik Birkedal
- Center for Integrated Materials Research, Department of Chemistry and iNANO, Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus, Denmark.
| | - Ali Miserez
- Biological and Biomimetic Materials Laboratory, Center for Sustainable Materials (SusMat), School of Materials Science and Engineering, Nanyang Technological University (NTU), 50 Nanyang Avenue, 639798, Singapore; School of Biological Sciences, NTU, 60 Nanyang Drive, Singapore 637551, Singapore.
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18
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Hamza GM, Miele E, Wojchowski DM, Toran P, Worsfold CR, Anthonymuthu TS, Bergo VB, Zhang AX, Silva JC. Affi-BAMS™: A Robust Targeted Proteomics Microarray Platform to Measure Histone Post-Translational Modifications. Int J Mol Sci 2023; 24:10060. [PMID: 37373206 DOI: 10.3390/ijms241210060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/08/2023] [Accepted: 06/11/2023] [Indexed: 06/29/2023] Open
Abstract
For targeted protein panels, the ability to specifically assay post-translational modifications (PTMs) in a quantitative, sensitive, and straightforward manner would substantially advance biological and pharmacological studies. The present study highlights the effectiveness of the Affi-BAMS™ epitope-directed affinity bead capture/MALDI MS platform for quantitatively defining complex PTM marks of H3 and H4 histones. Using H3 and H4 histone peptides and isotopically labelled derivatives, this affinity bead and MALDI MS platform achieves a range of >3 orders of magnitude with a technical precision CV of <5%. Using nuclear cellular lysates, Affi-BAMS PTM-peptide capture resolves heterogeneous histone N-terminal PTMs with as little as 100 µg of starting material. In an HDAC inhibitor and MCF7 cell line model, the ability to monitor dynamic histone H3 acetylation and methylation events is further demonstrated (including SILAC quantification). Affi-BAMS (and its capacity for the multiplexing of samples and target PTM-proteins) thus provides a uniquely efficient and effective approach for analyzing dynamic epigenetic histone marks, which is critical for the regulation of chromatin structure and gene expression.
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Affiliation(s)
- Ghaith M Hamza
- Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Boston, MA 02451, USA
- Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA
| | - Eric Miele
- Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Boston, MA 02451, USA
| | - Don M Wojchowski
- Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA
| | - Paul Toran
- Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA
| | | | | | | | - Andrew X Zhang
- Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Boston, MA 02451, USA
| | - Jeffrey C Silva
- Adeptrix Corporation, Beverly, MA 01915, USA
- Cell Signaling Technology, Danvers, MA 01915, USA
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19
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Souza Junior DR, Silva ARM, Ronsein GE. Strategies for consistent and automated quantification of HDL proteome using data-independent acquisition (DIA). J Lipid Res 2023:100397. [PMID: 37286042 PMCID: PMC10339053 DOI: 10.1016/j.jlr.2023.100397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/11/2023] [Accepted: 05/31/2023] [Indexed: 06/09/2023] Open
Abstract
The introduction of mass spectrometry-based proteomics has revolutionized HDL field, with the description, characterization and implication of HDL-associated proteins in an array of pathologies. However, acquiring robust, reproducible data is still a challenge in the quantitative assessment of HDL proteome. Data-independent acquisition (DIA) is a mass spectrometry methodology that allows the acquisition of reproducible data, but data analysis remains a challenge in the field. Up to date, there is no consensus in how to process DIA-derived data for HDL proteomics. Here, we developed a pipeline aiming to standardize HDL proteome quantification. We optimized instrument parameters, and compared the performance of four freely available, user-friendly software tools (DIA-NN, EncyclopeDIA, MaxDIA and Skyline) in processing DIA data. Importantly, pooled samples were used as quality controls throughout our experimental setup. A carefully evaluation of precision, linearity, and detection limits, first using E. coli background for HDL proteomics, and second using HDL proteome and synthetic peptides, was undertaken. Finally, as a proof of concept, we employed our optimized and automated pipeline to quantify the proteome of HDL and apolipoprotein B (APOB)-containing lipoproteins. Our results show that determination of precision is key to confidently and consistently quantify HDL proteins. Taking this precaution, any of the available software tested here would be appropriate for quantification of HDL proteome, although their performance varied considerably.
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Affiliation(s)
| | | | - Graziella Eliza Ronsein
- Department of Biochemistry, Institute of Chemistry, University of São Paulo, São Paulo, Brazil.
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20
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Shipman J, Sommers C, Keire DA, Chen K, Zhu H. Comprehensive N-Glycan Mapping using Parallel Reaction Monitoring LC-MS/MS. Pharm Res 2023; 40:1399-1410. [PMID: 36513905 DOI: 10.1007/s11095-022-03453-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE Glycan composition can impact a biotherapeutic's safety and efficacy. For example, changes in the relative abundance of different glycan attributes like afucosylation, galactosylation or high-mannose content can change the properties or functions of a monoclonal antibody (mAb). While established methods can effectively characterize major glycan species in biotherapeutic drug products, there is still a need for more sensitive and specific methods that can effectively monitor low abundance species which may impact mAb function. METHODS Glycans released from two mAbs, adalimumab and trastuzumab, were derivatized with Rapifluor-MS™. Glycans were separated using HILIC and detected using either fluorescence (FLD) or mass spectrometry (MS). A parallel reaction monitoring (PRM) workflow was used for the MS analysis. RESULTS AND CONCLUSION FLD analysis identified 18 and 19 glycan peaks in adalimumab and trastuzumab, respectively. Glycan identities were determined using MS-analysis and a high number of FLD peaks containing co-eluting glycan species were observed. PRM analysis quantified 38 and 39 glycan species in adalimumab and trastuzumab, respectively, and the increase in glycans that could be identified was due to superior sensitivity and selectivity compared to FLD. Notably, many low abundance glycans identified by PRM included species that were not reported in other studies. PRM also offered several additional advantages; unique structural features could be identified using the collected MS/MS spectra and de-coupling MS acquisition and data processing simplified the transfer of methods between instruments. The results established PRM as a precise, informative tool for glycan analysis and quantitation.
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Affiliation(s)
- Joshua Shipman
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA
| | - Cynthia Sommers
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA
| | - David A Keire
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA
| | - Kang Chen
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA.
| | - Hongbin Zhu
- Office of Testing and Research, Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, St. Louis, MO, 63110, USA.
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21
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Shi Y, Mandal D, Zhang Z, Zhao Y. A Facile and High-Sensitivity Method for Determining Proteinogenic Amino Acid Enantiomers by Integrating Chiral Phosphinate Derivatizing, 31P NMR and Parallel Reaction Monitoring. Anal Chem 2023; 95:7433-7438. [PMID: 37145419 DOI: 10.1021/acs.analchem.2c03432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Here, we have documented a new protocol to determine d/l-amino acids by derivatizing amino acids via a chiral phosphinate. (RP)-l-Menthyl phenylphosphinate was able to bond both primary and secondary amines, as well as improve the sensitivity of analytes in MS. Eighteen pairs of amino acids were successfully labeled except for Cys which has a thiol group on the side chain, and the chirality of amino acids can be discriminated by 31P NMR. Seventeen pairs of amino acids were separated by a C18 column within 45 min of elution, and resolution values ranged from 2.01 to 10.76. The lowest limit of detection was 10 pM acquired at parallel reaction monitoring, in which two factors collectively contributed that the ability of protonation of phosphine oxide and the sensitivity of parallel reaction monitoring. Chiral phosphine oxides might be a promising tool in future chiral metabolomics.
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Affiliation(s)
- Yoapoing Shi
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315000 Zhejiang, China
| | - Dipendu Mandal
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315000 Zhejiang, China
| | - Zhenbin Zhang
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315000 Zhejiang, China
| | - Yufen Zhao
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315000 Zhejiang, China
- Qian Xuesen Collaborative Research Center of Astrochemistry and Space Life Sciences, Ningbo University, Ningbo, 315000 Zhejiang, China
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22
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Xu C, Xue M, Jiang N, Li Y, Meng Y, Liu W, Fan Y, Zhou Y. Characteristics and expression profiles of MHC class Ⅰ molecules in Carassius auratus. FISH & SHELLFISH IMMUNOLOGY 2023; 137:108794. [PMID: 37146848 DOI: 10.1016/j.fsi.2023.108794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 04/20/2023] [Accepted: 05/03/2023] [Indexed: 05/07/2023]
Abstract
Major histocompatibility complex class Ⅰ (MHC Ⅰ) molecules play a vital role in adaptive immune systems in vertebrates by presenting antigens to effector T cells. Understanding the expression profiling of MHC Ⅰ molecules in fish is essential for improving our knowledge of the relationship between microbial infection and adaptive immunity. In this study, we conducted a comprehensive analysis of MHC Ⅰ gene characteristics in Carassius auratus, an important freshwater aquaculture fish in China that is susceptible to Cyprinid herpesvirus 2 (CyHV-2) infection. We identified approximately 20 MHC Ⅰ genes discussed, including U, Z, and L lineage genes. However, only U and Z lineage proteins were identified in the kidney of Carassius auratus using high pH reversed-phase chromatography and mass spectrometry. The L lineage proteins were either not expressed or present at an extremely low level in the kidneys of Carassius auratus. We also used targeted proteomics to analyze changes in protein MHC Ⅰ molecules abundance in healthy and CyHV-2-infected Carassius auratus. We observed that five MHC Ⅰ molecules were upregulated, and Caau-UFA was downregulated in the diseased group. This study is the first to reveal the expression of MHC Ⅰ molecules at a large scale in Cyprinids, which enhances our understanding of fish adaptive immune systems.
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Affiliation(s)
- Chen Xu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Mingyang Xue
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Nan Jiang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Yiqun Li
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Yan Meng
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Wenzhi Liu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China
| | - Yuding Fan
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
| | - Yong Zhou
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
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23
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Williams TI, Kowalchyk C, Collins LB, Reading BJ. Discovery Proteomics and Absolute Protein Quantification Can Be Performed Simultaneously on an Orbitrap-Based Mass Spectrometer. ACS OMEGA 2023; 8:12573-12583. [PMID: 37033798 PMCID: PMC10077438 DOI: 10.1021/acsomega.2c07614] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 03/06/2023] [Indexed: 06/19/2023]
Abstract
Mass spectrometry (MS) has steadily moved into the forefront of quantification-centered protein research. Protein cleavage isotope dilution MS is a proven way for quantifying proteins by using an isotope-labeled analogue of a peptide fragment of the parent protein as an internal standard. Parallel reaction monitoring (PRM) has become the go-to approach for such quantification on an Orbitrap-based instrument as it is assumed that the instrument sensitivity is enhanced. We performed a comparative study on data-dependent acquisition (DDA) and PRM-based workflows to quantify egg yolk protein precursors or vitellogenins (VTGs) Aa, Ab, and C in striped bass (Morone saxatilis). VTG proportions serve as a developmental measure of egg quality, possibly changing with the environment, and have been studied as an indicator of the health of North Carolina stocks. Based on single-factor analysis of variance comparisons of mean VTG amounts across fish from the same sample groupings, our results indicate that there is no statistical difference between MS1-based and MS2-based VTG quantification. We further conclude that DDA is able to deliver both discovery data and absolute quantification data in the same experiment.
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Affiliation(s)
- Taufika Islam Williams
- Molecular,
Education, Technology, and Research Innovation Center (METRIC), North Carolina State University, Plant Sciences Building, Raleigh, North Carolina 27606, United States
- Department
of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Cara Kowalchyk
- Marine
Fisheries, Department of Environmental Quality, Raleigh, North Carolina 27603, United States
| | - Leonard B. Collins
- Molecular,
Education, Technology, and Research Innovation Center (METRIC), North Carolina State University, Plant Sciences Building, Raleigh, North Carolina 27606, United States
| | - Benjamin J. Reading
- Department
of Applied Ecology, North Carolina State
University, Raleigh, North Carolina 27695, United States
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24
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Lesur A, Bernardin F, Koncina E, Letellier E, Kruppa G, Schmit PO, Dittmar G. Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics. J Proteome Res 2023. [PMID: 37011904 DOI: 10.1021/acs.jproteome.2c00575] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Blood analysis is one of the foundations of clinical diagnostics. In recent years, the analysis of proteins in blood samples by mass spectrometry has taken a jump forward in terms of sensitivity and the number of identified proteins. The recent development of parallel reaction monitoring with parallel accumulation and serial fragmentation (prm-PASEF) combines ion mobility as an additional separation dimension. This increases the proteome coverage while allowing the use of shorter chromatographic gradients. To demonstrate the method's full potential, we used an isotope-labeled synthetic peptide mix of 782 peptides, derived from 579 plasma proteins, spiked into blood plasma samples with a prm-PASEF measurement allowing the quantification of 565 plasma proteins by targeted proteomics. As a less time-consuming alternative to the prm-PASEF method, we describe guided data independent acquisition (dia)-PASEF (g-dia-PASEF) and compare its application to prm-PASEF for measuring blood plasma. To demonstrate both methods' performance in clinical samples, 20 patient plasma samples from a colorectal cancer (CRC) cohort were analyzed. The analysis identified 14 differentially regulated proteins between the CRC patient and control individual plasma samples. This shows the technique's potential for the rapid and unbiased screening of blood proteins, abolishing the need for the preselection of potential biomarker proteins.
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Affiliation(s)
- Antoine Lesur
- Luxembourg Institute of Health, Strassen L-1445, Luxembourg
| | | | - Eric Koncina
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux L-4367, Luxembourg
| | - Elisabeth Letellier
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux L-4367, Luxembourg
| | - Gary Kruppa
- Bruker Daltonics, Billerica, Massachusetts 01821, United States
| | | | - Gunnar Dittmar
- Luxembourg Institute of Health, Strassen L-1445, Luxembourg
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux L-4367, Luxembourg
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25
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Bai JPF, Yu LR. Modeling Clinical Phenotype Variability: Consideration of Genomic Variations, Computational Methods, and Quantitative Proteomics. J Pharm Sci 2023; 112:904-908. [PMID: 36279954 DOI: 10.1016/j.xphs.2022.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022]
Abstract
Advances in biomedical and computer technologies have presented the modeling community the opportunity for mechanistically modeling and simulating the variability in a disease phenotype or in a drug response. The capability to quantify response variability can inform a drug development program. Quantitative systems pharmacology scientists have published various computational approaches for creating virtual patient populations (VPops) to model and simulate drug response variability. Genomic variations can impact disease characteristics and drug exposure and response. Quantitative proteomics technologies are increasingly used to facilitate drug discovery and development and inform patient care. Incorporating variations in genomics and quantitative proteomics may potentially inform creation of VPops to model and simulate virtual patient trials, and may help account for, in a predictive manner, phenotypic variations observed clinically.
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Affiliation(s)
- Jane P F Bai
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD 20903, USA.
| | - Li-Rong Yu
- Division of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA
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26
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Li Y, Zhang Y, Zhou X, Xue X, Wang M, Kang D, Zhou Y, Hu R, Quan S, Xing G, Yang J. Precise diagnosis and typing of early-stage renal immunoglobulin-derived amyloidosis by label-free quantification of parallel reaction monitoring-based targeted proteomics. BMC Nephrol 2023; 24:50. [PMID: 36894904 PMCID: PMC9999574 DOI: 10.1186/s12882-023-03105-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Early diagnosis and typing are crucial for improving the prognosis of patients with renal amyloidosis. Currently, Untargeted proteomics based precise diagnosis and typing of amyloid deposits are crucial for guiding patient management. Although untargeted proteomics achieve ultra-high-throughput by selecting the most abundant eluting cationic peptide precursors in series for tandem MS events, it lacks in sensitivity and reproducibility, which may not be suitable for early-stage renal amyloidosis with minor damages. Here, we aimed to develop parallel reaction monitoring (PRM)-based targeted proteomics to achieve high sensitivity and specificity by determining absolute abundances and codetecting all transitions of highly repeatable peptides of preselected amyloid signature and typing proteins in identifying early-stage renal immunoglobulin-derived amyloidosis. METHODS AND RESULTS In 10 discovery cohort cases, Congo red-stained FFPE slices were micro-dissected and analyzed by data-dependent acquisition-based untargeted proteomics for preselection of typing specific proteins and peptides. Further, a list of proteolytic peptides from amyloidogenic proteins and internal standard proteins were quantified by PRM-based targeted proteomics to validate performance for diagnosis and typing in 26 validation cohort cases. The diagnosis and typing effectiveness of PRM-based targeted proteomics in 10 early-stage renal amyloid cases was assessed via a comparison with untargeted proteomics. A peptide panel of amyloid signature proteins, immunoglobulin light chain and heave chain in PRM-based targeted proteomics showed significantly distinguishing ability and amyloid typing performance in patients. The diagnostic algorithm of targeted proteomics with a low amount of amyloid deposits in early-stage renal immunoglobulin-derived amyloidosis showed better performance than untargeted proteomics in amyloidosis typing. CONCLUSIONS This study demonstrates that the utility of these prioritized peptides in PRM-based targeted proteomics ensure high sensitivity and reliability for identifying early-stage renal amyloidosis. Owing to the development and clinical application of this method, rapid acceleration of the early diagnosis, and typing of renal amyloidosis is expected.
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Affiliation(s)
- Yuan Li
- Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Ying Zhang
- Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Xinjin Zhou
- Renal Path Diagnostics at Pathologists BioMedical Laboratories, Lewisville, TX, 75067, USA
| | - Xinli Xue
- Clinical Systems Biology Key Laboratories of Henan, Translational Medicine Center, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Muxi Wang
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, 61801, USA
| | - Dedong Kang
- Department of Anatomy, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-Ku, Tokyo, 1428555, Japan
| | - Yali Zhou
- Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Ruimin Hu
- Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Songxia Quan
- Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Guolan Xing
- Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China.
| | - Jinghua Yang
- Clinical Systems Biology Key Laboratories of Henan, Translational Medicine Center, the First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China.
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27
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Yin H, Zhu J. Methods for quantification of glycopeptides by liquid separation and mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:887-917. [PMID: 35099083 PMCID: PMC9339036 DOI: 10.1002/mas.21771] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 11/14/2021] [Accepted: 01/13/2022] [Indexed: 05/05/2023]
Abstract
Recent advances in analytical techniques provide the opportunity to quantify even low-abundance glycopeptides derived from complex biological mixtures, allowing for the identification of glycosylation differences between healthy samples and those derived from disease states. Herein, we discuss the sample preparation procedures and the mass spectrometry (MS) strategies that have facilitated glycopeptide quantification, as well as the standards used for glycopeptide quantification. For sample preparation, various glycopeptide enrichment methods are summarized including the columns used for glycopeptide separation in liquid chromatography separation. For MS analysis strategies, MS1 level-based quantification and MS2 level-based quantification are described, either with or without labeling, where we have covered isotope labeling, TMT/iTRAQ labeling, data dependent acquisition, data independent acquisition, multiple reaction monitoring, and parallel reaction monitoring. The strengths and weaknesses of these methods are compared, particularly those associated with the figures of merit that are important for clinical biomarker studies and the pathological and functional studies of glycoproteins in various diseases. Possible future developments for glycopeptide quantification are discussed.
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Affiliation(s)
- Haidi Yin
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518132, China
- Correspondence to: Haidi Yin, Shenzhen Bay Laboratory, A1201, Shenzhen, Guangdong, 518132, China. Phone: 0755-26849276. , Jianhui Zhu, Department of Surgery, University of Michigan, 1150 West Medical Center Drive, Building MSRB1, Rm A500, Ann Arbor, MI 48109-0656, USA. Tel: 734-615-2567. Fax: 734-615-2088.
| | - Jianhui Zhu
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
- Correspondence to: Haidi Yin, Shenzhen Bay Laboratory, A1201, Shenzhen, Guangdong, 518132, China. Phone: 0755-26849276. , Jianhui Zhu, Department of Surgery, University of Michigan, 1150 West Medical Center Drive, Building MSRB1, Rm A500, Ann Arbor, MI 48109-0656, USA. Tel: 734-615-2567. Fax: 734-615-2088.
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28
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Advantages of Multiplexing Ability of the Orbitrap Mass Analyzer in the Multi-Mycotoxin Analysis. Toxins (Basel) 2023; 15:toxins15020134. [PMID: 36828448 PMCID: PMC9965799 DOI: 10.3390/toxins15020134] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 01/31/2023] [Accepted: 02/03/2023] [Indexed: 02/11/2023] Open
Abstract
In routine measurements, the length of the analysis time and nfumber of samples analysed during a time unit are crucial parameters, which are especially important for the food analysis, particularly in the case of mycotoxin determinations. High-resolution equipment, including time-of-flight or Orbitrap analyzators, can provide stable instrumental background for high-throughput analyses. In this report, a short, 1 min MS-based multi-mycotoxin method was developed with the application of a short column as a reduced chromatographic separation, taking advantages of the multiplexing and high-resolution capability of the QExactive Orbitrap MS possessing sub-1 ppm mass accuracy. The performance of the method was evaluated regarding selectivity, LOD, LOQ, linearity, matrix effect, and recovery, and compared to a UHPLC-MS/MS method. The final multiplexing method was able to quantify 11 mycotoxins in defined ranges (aflatoxins (corn, 2.8-600 μg/kg; wheat, 1.5-350 μg/kg), deoxynivalenol (corn, 640-9600 μg/kg; wheat, 128-3500 μg/kg), fumonisins (corn, 20-1500 μg/kg; wheat, 30-3500 μg/kg), HT-2 (corn, 64-5200 μg/kg; wheat, 61-3500 μg/kg), T-2 (corn, 10-800 μg/kg; wheat, 4-250 μg/kg), ochratoxin (corn, 4.7-600 μg/kg; wheat, 1-1000 μg/kg), zearalenone (corn, 64-4800 μg/kg; wheat, 4-500 μg/kg)) within one minute in corn and wheat matrices at the MRL levels stated by the European Union.
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29
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Targeted Quantification of Protein Phosphorylation and Its Contributions towards Mathematical Modeling of Signaling Pathways. Molecules 2023; 28:molecules28031143. [PMID: 36770810 PMCID: PMC9919559 DOI: 10.3390/molecules28031143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/12/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
Post-translational modifications (PTMs) are key regulatory mechanisms that can control protein function. Of these, phosphorylation is the most common and widely studied. Because of its importance in regulating cell signaling, precise and accurate measurements of protein phosphorylation across wide dynamic ranges are crucial to understanding how signaling pathways function. Although immunological assays are commonly used to detect phosphoproteins, their lack of sensitivity, specificity, and selectivity often make them unreliable for quantitative measurements of complex biological samples. Recent advances in Mass Spectrometry (MS)-based targeted proteomics have made it a more useful approach than immunoassays for studying the dynamics of protein phosphorylation. Selected reaction monitoring (SRM)-also known as multiple reaction monitoring (MRM)-and parallel reaction monitoring (PRM) can quantify relative and absolute abundances of protein phosphorylation in multiplexed fashions targeting specific pathways. In addition, the refinement of these tools by enrichment and fractionation strategies has improved measurement of phosphorylation of low-abundance proteins. The quantitative data generated are particularly useful for building and parameterizing mathematical models of complex phospho-signaling pathways. Potentially, these models can provide a framework for linking analytical measurements of clinical samples to better diagnosis and treatment of disease.
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30
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Ponce S, Zhang H. Developing quantitative assays for six urinary glycoproteins using parallel reaction monitoring, data-independent acquisition, and TMT-based data-dependent acquisition. Proteomics 2023; 23:e2200072. [PMID: 36592098 DOI: 10.1002/pmic.202200072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 01/03/2023]
Abstract
Quantitative approaches encompassing parallel reaction monitoring (PRM), data-independent acquisition (DIA), and data-dependent acquisition (DDA) are commonly used to investigate protein expression profiles. However, analytical performances of assays developed using PRM, DIA, and Tandem Mass Tag (TMT)-based DDA for quantitative proteomics have yet not been investigated. Here, we developed assays for glycopeptides identified from six glycoproteins, including Leucine-rich alpha-2-glycoprotein (LRG1), Prostaglandin-H2 D-isomerase (PTGDS), Aminopeptidase N (ANPEP), CD63 antigen (CD63), Clusterin (CLU), and Prostatic acid phosphatase (ACPP), using PRM, DDA, and DIA and evaluated the analytical performances of each assay using the different acquisition modes. We also compared assays in each acquisition mode on three different orbitrap instruments: Thermo Fisher Q Exactive, Exploris 480, and Lumos. We found that DIA showed the largest linear range, highest sensitivity, and most reproducibility. We then applied our developed DIA assays to urine samples from non-aggressive (n = 48) and aggressive (n = 35) prostate cancer patients. In conclusion, we developed assays for the six glycoproteins, evaluated the analytical performances of each assay in DIA, PRM, and PRM acquisition modes on three types of mass spectrometry instruments, and chose the DIA assays for the quantitative analysis of urine samples from patients with aggressive and non-aggressive prostate cancer.
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Affiliation(s)
- Sean Ponce
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Hui Zhang
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Pathology, Johns Hopkins University, Baltimore, Maryland, USA
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31
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Guo J, Kufer R, Li D, Wohlrab S, Greenwood-Goodwin M, Yang F. Technical advancement and practical considerations of LC-MS/MS-based methods for host cell protein identification and quantitation to support process development. MAbs 2023; 15:2213365. [PMID: 37218066 PMCID: PMC10208169 DOI: 10.1080/19420862.2023.2213365] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 05/09/2023] [Indexed: 05/24/2023] Open
Abstract
Host cell proteins (HCPs) are process-related impurities derived from the manufacturing of recombinant biotherapeutics. Residual HCP in drug products, ranging from 1 to 100 ppm (ng HCP/mg product) or even below sub-ppm level, may affect product quality, stability, efficacy, or safety. Therefore, removal of HCPs to appropriate levels is critical for the bioprocess development of biotherapeutics. Liquid chromatography-mass spectrometry (LC-MS) analysis has become an important tool to identify, quantify, and monitor the clearance of individual HCPs. This review covers the technical advancement of sample preparation strategies, new LC-MS-based techniques, and data analysis approaches to robustly and sensitively measure HCPs while overcoming the high dynamic range analytical challenges. We also discuss our strategy for LC-MS-based HCP workflows to enable fast support of process development throughout the product life cycle, and provide insights into developing specific analytical strategies leveraging LC-MS tools to control HCPs in process and mitigate their potential risks to drug quality, stability, and patient safety.
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Affiliation(s)
- Jia Guo
- Protein Analytical Chemistry, Genentech, A Member of the Roche Group, South San Francisco, CA, USA
| | - Regina Kufer
- Pharma Technical Development Analytics, Roche Diagnostics GmbH, Penzberg, Germany
| | - Delia Li
- Protein Analytical Chemistry, Genentech, A Member of the Roche Group, South San Francisco, CA, USA
| | - Stefanie Wohlrab
- Pharma Technical Development Analytics, Roche Diagnostics GmbH, Penzberg, Germany
| | | | - Feng Yang
- Protein Analytical Chemistry, Genentech, A Member of the Roche Group, South San Francisco, CA, USA
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Cifani P, Kentsis A. Quantitative Cell Proteomic Atlas: Pathway-Scale Targeted Mass Spectrometry for High-Resolution Functional Profiling of Cell Signaling. J Proteome Res 2022; 21:2535-2544. [PMID: 36154077 PMCID: PMC10494574 DOI: 10.1021/acs.jproteome.2c00223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
In spite of extensive studies of cellular signaling, many fundamental processes such as pathway integration, cross-talk, and feedback remain poorly understood. To enable integrated and quantitative measurements of cellular biochemical activities, we have developed the Quantitative Cell Proteomics Atlas (QCPA). QCPA consists of panels of targeted mass spectrometry assays to determine the abundance and stoichiometry of regulatory post-translational modifications of sentinel proteins from most known physiologic and pathogenic signaling pathways in human cells. QCPA currently profiles 1 913 peptides from 469 effectors of cell surface signaling, apoptosis, stress response, gene expression, quiescence, and proliferation. For each protein, QCPA includes triplets of isotopically labeled peptides covering known post-translational regulatory sites to determine their stoichiometries and unmodified protein regions to measure total protein abundance. The QCPA framework incorporates analytes to control for technical variability of sample preparation and mass spectrometric analysis, including TrypQuant, a synthetic substrate for accurate quantification of proteolysis efficiency for proteins containing chemically modified residues. The ability to precisely and accurately quantify most known signaling pathways should enable improved chemoproteomic approaches for the comprehensive analysis of cell signaling and clinical proteomics of diagnostic specimens. QCPA is openly available at https://qcpa.mskcc.org.
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Affiliation(s)
- Paolo Cifani
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA
| | - Alex Kentsis
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA
- Tow Center for Developmental Oncology, Department of Pediatrics, Memorial Sloan Kettering Cancer Center, NY, 10065 USA
- Departments of Pediatrics, Pharmacology, and Physiology & Biophysics, Weill Medical College of Cornell University, NY, 10065 USA
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A multiplexed parallel reaction monitoring assay to monitor bovine pregnancy-associated glycoproteins throughout pregnancy and after gestation. PLoS One 2022; 17:e0271057. [PMID: 36149860 PMCID: PMC9506649 DOI: 10.1371/journal.pone.0271057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/22/2022] [Indexed: 11/21/2022] Open
Abstract
Bovine pregnancy-associated glycoproteins (boPAGs) are extensively glycosylated secretory proteins of trophoblast cells. Roughly 20 different boPAG members are known but their distribution patterns and degree of glycosylation during pregnancy are not well characterized. The objective of the present study was the development of a parallel reaction monitoring-based assay for the profiling of different boPAGs during pregnancy and after gestation. Furthermore, we investigated the effects of N-glycosylation on our analytical results. BoPAGs were purified from cotyledons of four different pregnancy stages. The assay detects 25 proteotypic peptides from 18 boPAGs in a single run. The highest abundances were found for boPAG 1 in both, glycosylated and deglycosylated samples. Strongest effects of glycosylation were detected during mid and late pregnancy as well as in afterbirth samples. Furthermore, we identified different boPAG-clusters based on the observed relative protein abundances between glycosylated and deglycosylated samples. A linkage between the impact of glycosylation and potential N-glycosylation sites or phylogenetic relation was not detected. In conclusion, the newly developed parallel reaction monitoring-based assay enables for the first time a comprehensive semi-quantitative profiling of 18 different boPAGs during pregnancy and post-partum on protein level, thereby investigating the influence of glycosylation. The results of this study provide new and important starting points to address further research on boPAGs to better understand their physiological role during pregnancy and for the development of new pregnancy detection tests.
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The addition of FAIMS increases targeted proteomics sensitivity from FFPE tumor biopsies. Sci Rep 2022; 12:13876. [PMID: 35974054 PMCID: PMC9381555 DOI: 10.1038/s41598-022-16358-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/08/2022] [Indexed: 12/02/2022] Open
Abstract
Mass spectrometry-based targeted proteomics allows objective protein quantitation of clinical biomarkers from a single section of formalin-fixed, paraffin-embedded (FFPE) tumor tissue biopsies. We combined high-field asymmetric waveform ion mobility spectrometry (FAIMS) and parallel reaction monitoring (PRM) to increase assay sensitivity. The modular nature of the FAIMS source allowed direct comparison of the performance of FAIMS-PRM to PRM. Limits of quantitation were determined by spiking synthetic peptides into a human spleen matrix. In addition, 20 clinical samples were analyzed using FAIMS-PRM and the quantitation of HER2 was compared with that obtained with the Ventana immunohistochemistry assay. FAIMS-PRM improved the overall signal-to-noise ratio over that from PRM and increased assay sensitivity in FFPE tissue analysis for four (HER2, EGFR, cMET, and KRAS) of five proteins of clinical interest. FAIMS-PRM enabled sensitive quantitation of basal HER2 expression in breast cancer samples classified as HER2 negative by immunohistochemistry. Furthermore, we determined the degree of FAIMS-dependent background reduction and showed that this correlated with an improved lower limit of quantitation with FAIMS. FAIMS-PRM is anticipated to benefit clinical trials in which multiple biomarker questions must be addressed and the availability of tumor biopsy samples is limited.
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High-throughput proteomic sample preparation using pressure cycling technology. Nat Protoc 2022; 17:2307-2325. [PMID: 35931778 PMCID: PMC9362583 DOI: 10.1038/s41596-022-00727-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 05/24/2022] [Indexed: 11/09/2022]
Abstract
High-throughput lysis and proteolytic digestion of biopsy-level tissue specimens is a major bottleneck for clinical proteomics. Here we describe a detailed protocol of pressure cycling technology (PCT)-assisted sample preparation for proteomic analysis of biopsy tissues. A piece of fresh frozen or formalin-fixed paraffin-embedded tissue weighing ~0.1–2 mg is placed in a 150 μL pressure-resistant tube called a PCT-MicroTube with proper lysis buffer. After closing with a PCT-MicroPestle, a batch of 16 PCT-MicroTubes are placed in a Barocycler, which imposes oscillating pressure to the samples from one atmosphere to up to ~3,000 times atmospheric pressure. The pressure cycling schemes are optimized for tissue lysis and protein digestion, and can be programmed in the Barocycler to allow reproducible, robust and efficient protein extraction and proteolysis digestion for mass spectrometry-based proteomics. This method allows effective preparation of not only fresh frozen and formalin-fixed paraffin-embedded tissue, but also cells, feces and tear strips. It takes ~3 h to process 16 samples in one batch. The resulting peptides can be analyzed by various mass spectrometry-based proteomics methods. We demonstrate the applications of this protocol with mouse kidney tissue and eight types of human tumors. High-throughput lysis and proteolytic digestion of biopsy-level tissue specimens is a major bottleneck for clinical proteomics. This protocol describes pressure cycling technology (PCT)-assisted sample preparation of biopsy tissues.
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36
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Proteomic Discovery and Validation of Novel Fluid Biomarkers for Improved Patient Selection and Prediction of Clinical Outcomes in Alzheimer’s Disease Patient Cohorts. Proteomes 2022; 10:proteomes10030026. [PMID: 35997438 PMCID: PMC9397030 DOI: 10.3390/proteomes10030026] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 07/13/2022] [Accepted: 07/23/2022] [Indexed: 01/25/2023] Open
Abstract
Alzheimer’s disease (AD) is an irreversible neurodegenerative disease characterized by progressive cognitive decline. The two cardinal neuropathological hallmarks of AD include the buildup of cerebral β amyloid (Aβ) plaques and neurofibrillary tangles of hyperphosphorylated tau. The current disease-modifying treatments are still not effective enough to lower the rate of cognitive decline. There is an urgent need to identify early detection and disease progression biomarkers that can facilitate AD drug development. The current established readouts based on the expression levels of amyloid beta, tau, and phospho-tau have shown many discrepancies in patient samples when linked to disease progression. There is an urgent need to identify diagnostic and disease progression biomarkers from blood, cerebrospinal fluid (CSF), or other biofluids that can facilitate the early detection of the disease and provide pharmacodynamic readouts for new drugs being tested in clinical trials. Advances in proteomic approaches using state-of-the-art mass spectrometry are now being increasingly applied to study AD disease mechanisms and identify drug targets and novel disease biomarkers. In this report, we describe the application of quantitative proteomic approaches for understanding AD pathophysiology, summarize the current knowledge gained from proteomic investigations of AD, and discuss the development and validation of new predictive and diagnostic disease biomarkers.
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Development of Parallel Reaction Monitoring Mass Spectrometry Assay for the Detection of Human Norovirus Major Capsid Protein. Viruses 2022; 14:v14071416. [PMID: 35891395 PMCID: PMC9319599 DOI: 10.3390/v14071416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 06/24/2022] [Accepted: 06/27/2022] [Indexed: 02/05/2023] Open
Abstract
Human Norwalk viruses (HuNoVs), the most common etiological agents of acute gastroenteritis, are genetically diverse RNA viruses that frequently cause mass food poisoning internationally. Although nucleic acid detection methods, such as reverse transcription-quantitative polymerase chain reaction (RT-qPCR), are the gold standard for the diagnosis of norovirus infection, alternative methods are needed for the specific and sensitive viral protein detection for rapid diagnosis and surveillance. In this study, we developed a robust and high-throughput targeted proteomic assay workflow to directly detect the VP1 major capsid protein of HuNoVs. A parallel reaction monitoring (PRM) assay using a high-resolution mass spectrometer was used to detect representative peptides derived from VP1 in six different HuNoV genotypes. An optimized protocol using synthesized heavy isotope-labeled peptides as internal standards was also used to simultaneously genotype and quantify the VP1 protein in human stool specimens. This method is expected to become a new tool for studying the molecular epidemiology of HuNoV and to shed new light on targeted proteomics in clinical practice.
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Kalogeropoulos K, Savickas S, Haack AM, Larsen CA, Mikosiński J, Schoof EM, Smola H, Bundgaard L, Auf dem Keller U. WITHDRAWN: High-throughput and high-sensitivity biomarker monitoring in body fluid by FAIMS-enhanced fast LC SureQuant™ IS targeted quantitation. Mol Cell Proteomics 2022:100251. [PMID: 35644345 DOI: 10.1016/j.mcpro.2022.100251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/20/2022] [Accepted: 05/23/2022] [Indexed: 10/18/2022] Open
Affiliation(s)
- Konstantinos Kalogeropoulos
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, 2800, Denmark
| | - Simonas Savickas
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, 2800, Denmark
| | - Aleksander M Haack
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, 2800, Denmark
| | - Cathrine A Larsen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, 2800, Denmark
| | - Jacek Mikosiński
- Poradnia Chorób Naczyń Obwodowych "MIKOMED", Ul. Pługowa 51/53, 94-238 Łódź, Poland
| | - Erwin M Schoof
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, 2800, Denmark
| | - Hans Smola
- Paul Hartmann AG, Paul-Hartmann-Straße 12, 89522 Heidenheim an der Brenz, Germany
| | - Louise Bundgaard
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, 2800, Denmark.
| | - Ulrich Auf dem Keller
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Kgs. Lyngby, 2800, Denmark.
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Xu C, Yang J, Cao J, Jiang N, Zhou Y, Zeng L, Zhong Q, Fan Y. The quantitative proteomic analysis of rare minnow, Gobiocypris rarus, infected with virulent and attenuated isolates of grass carp reovirus genotype Ⅱ. FISH & SHELLFISH IMMUNOLOGY 2022; 123:142-151. [PMID: 35219830 DOI: 10.1016/j.fsi.2022.02.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/16/2022] [Accepted: 02/18/2022] [Indexed: 06/14/2023]
Abstract
Grass carp reovirus genotype Ⅱ (GCRV II) causes severe hemorrhagic disease in grass carp and affects the aquaculture industry in China. GCRV Ⅱ isolates have been collected from different epidemic areas in China, and these isolates can lead to different degrees of hemorrhagic symptoms in grass carp. Rare minnow (Gobiocypris rarus) is widely used as a model fish to study the mechanism of hemorrhagic disease because of its high sensitivity to GCRV. In this study, the protein levels in the spleen of rare minnow after infection with GCRV virulent isolate JZ809 and attenuated isolate XT422 were investigated using isobaric tags for relative and absolute quantitation (iTRAQ)-based quantitative proteomics. 109 and 50 differentially expressed proteins (DEPs) in the virulent and attenuated infection groups were obtained, respectively, among which 40 DEPs were identified in both groups. Combining protein expression profiling with gene ontology (GO) annotation, the responses of rare minnow to the two genotypes GCRV Ⅱ in terms of upregulated proteins were similar, focusing on ATP synthesis, in which ATP can serve as a "danger" signal to activate an immunoreaction in eukaryotes. Meanwhile, the virulent genotype JZ809 induced more immunoproteins and increased the levels of ubiquitin-proteasome system members to adapt to virus infection. However, together with a persistent and excessive inflammatory response and declining carbon metabolism, rare minnow presented more severe hemorrhagic disease and mortality after infection with virulent JZ809 than with attenuated XT422. The results provide a valuable information that will increase our understanding of the pathogenesis of viruses with different levels of virulence and the mechanism of interaction between the virus and host. Furthermore, the 6 proteins that were only significantly upregulated in the XT422 infection group all belonged to cluster 2, and 28 of 30 proteins that were only upregulated in JZ809 infection group were clustered into cluster 1. For the downregulated proteins, all DEPs in the XT422 infection group were clustered into cluster 4, and 25 of 39 proteins that were only significantly downregulated in the JZ809 infection group belonged to cluster 3. The results indicated that the DEPs in the attenuated XT422 infection group might be sensitive and their abundance changed more quickly when fish experienced virus infection.
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Affiliation(s)
- Chen Xu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
| | - Jie Yang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China; College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045, China.
| | - JiaJia Cao
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China; College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045, China.
| | - Nan Jiang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
| | - Yong Zhou
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
| | - Lingbing Zeng
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China.
| | - Qiwang Zhong
- College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045, China.
| | - Yuding Fan
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China; College of Biological Science and Engineering, Jiangxi Agricultural University, Nanchang, 330045, China.
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Villalobos Solis MI, Chirania P, Hettich RL. In silico evaluation of a targeted metaproteomics strategy for broad screening of cellulolytic enzyme capacities in anaerobic microbiome bioreactors. BIOTECHNOLOGY FOR BIOFUELS AND BIOPRODUCTS 2022; 15:32. [PMID: 35303956 PMCID: PMC8933973 DOI: 10.1186/s13068-022-02125-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 02/22/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND Microbial-driven solubilization of lignocellulosic material is a natural mechanism that is exploited in anaerobic digesters (ADs) to produce biogas and other valuable bioproducts. Glycoside hydrolases (GHs) are the main enzymes that bacterial and archaeal populations use to break down complex polysaccharides in these reactors. Methodologies for rapidly screening the physical presence and types of GHs can provide information about their functional activities as well as the taxonomical diversity within AD systems but are largely unavailable. Targeted proteomic methods could potentially be used to provide snapshots of the GHs expressed by microbial consortia in ADs, giving valuable insights into the functional lignocellulolytic degradation diversity of a community. Such observations would be essential to evaluate the hydrolytic performance of a reactor or potential issues with it. RESULTS As a proof of concept, we performed an in silico selection and evaluation of groups of tryptic peptides from five important GH families derived from a dataset of 1401 metagenome-assembled genomes (MAGs) in anaerobic digesters. Following empirical rules of peptide-based targeted proteomics, we selected groups of shared peptides among proteins within a GH family while at the same time being unique compared to all other background proteins. In particular, we were able to identify a tractable unique set of peptides that were sufficient to monitor the range of GH families. While a few thousand peptides would be needed for comprehensive characterization of the main GH families, we found that at least 50% of the proteins in these families (such as the key families) could be tracked with only 200 peptides. The unique peptides selected for groups of GHs were found to be sufficient for distinguishing enzyme specificity or microbial taxonomy. These in silico results demonstrate the presence of specific unique GH peptides even in a highly diverse and complex microbiome and reveal the potential for development of targeted metaproteomic approaches in ADs or lignocellulolytic microbiomes. Such an approach could be valuable for estimating molecular-level enzymatic capabilities and responses of microbial communities to different substrates or conditions, which is a critical need in either building or utilizing constructed communities or defined cultures for bio-production. CONCLUSIONS This in silico study demonstrates the peptide selection strategy for quantifying relevant groups of GH proteins in a complex anaerobic microbiome and encourages the development of targeted metaproteomic approaches in fermenters. The results revealed that targeted metaproteomics could be a feasible approach for the screening of cellulolytic enzyme capacities for a range of anaerobic microbiome fermenters and thus could assist in bioreactor evaluation and optimization.
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Affiliation(s)
| | - Payal Chirania
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
- UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, 37996, USA
| | - Robert L Hettich
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
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Chapman AVE, Elmore JM, McReynolds M, Walley JW, Wise RP. SGT1-Specific Domain Mutations Impair Interactions with the Barley MLA6 Immune Receptor in Association with Loss of NLR Protein. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2022; 35:274-289. [PMID: 34889653 DOI: 10.1094/mpmi-08-21-0217-r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The Mla (Mildew resistance locus a) of barley (Hordeum vulgare L.) is an effective model for cereal immunity against fungal pathogens. Like many resistance proteins, variants of the MLA coiled-coil nucleotide-binding leucine-rich repeat (CC-NLR) receptor often require the HRS complex (HSP90, RAR1, and SGT1) to function. However, functional analysis of Sgt1 has been particularly difficult, as deletions are often lethal. Recently, we identified rar3 (required for Mla6 resistance 3), an in-frame Sgt1ΔKL308-309 mutation in the SGT1-specific domain, that alters resistance conferred by MLA but without lethality. Here, we use autoactive MLA6 and recombinant yeast-two-hybrid strains with stably integrated HvRar1 and HvHsp90 to determine that this mutation weakens but does not entirely disrupt the interaction between SGT1 and MLA. This causes a concomitant reduction in MLA6 protein accumulation below the apparent threshold required for effective resistance. The ΔKL308-309 deletion had a lesser effect on intramolecular interactions than alanine or arginine substitutions, and MLA variants that display diminished interactions with SGT1 appear to be disproportionately affected by the SGT1ΔKL308-309 mutation. We hypothesize that those dimeric plant CC-NLRs that appear unaffected by Sgt1 silencing are those with the strongest intermolecular interactions with it. Combining our data with recent work in CC-NLRs, we propose a cyclical model of the MLA-HRS resistosome interactions.[Formula: see text] The author(s) have dedicated the work to the public domain under the Creative Commons CC0 "No Rights Reserved" license by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law, 2022.
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Affiliation(s)
- Antony V E Chapman
- Interdepartmental Genetics & Genomics, Iowa State University, Ames, IA 50011, U.S.A
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, U.S.A
| | - J Mitch Elmore
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, U.S.A
| | - Maxwell McReynolds
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, U.S.A
- Interdepartmental Plant Biology, Iowa State University, Ames, IA 50011, U.S.A
| | - Justin W Walley
- Interdepartmental Genetics & Genomics, Iowa State University, Ames, IA 50011, U.S.A
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, U.S.A
- Interdepartmental Plant Biology, Iowa State University, Ames, IA 50011, U.S.A
| | - Roger P Wise
- Interdepartmental Genetics & Genomics, Iowa State University, Ames, IA 50011, U.S.A
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, U.S.A
- Corn Insects and Crop Genetics Research Unit, USDA-Agricultural Research Service, Ames, IA 50011, U.S.A
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Bao H, Li X, Cao Z, Huang Z, Chen L, Wang M, Hu J, Li W, Sun H, Jiang X, Mei P, Li H, Lu L, Zhan M. Identification of COPA as a potential prognostic biomarker and pharmacological intervention target of cervical cancer by quantitative proteomics and experimental verification. J Transl Med 2022; 20:18. [PMID: 34991628 PMCID: PMC8740354 DOI: 10.1186/s12967-021-03218-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cervical cancer is the most fatal gynecological carcinoma in the world. It is urgent to explore novel prognostic biomarkers and intervention targets for cervical cancer. METHODS Through integrated quantitative proteomic strategy, we investigated the protein expression profiles of cervical cancer; 28 fresh frozen tissue samples (11 adenocarcinoma (AC), 12 squamous cell carcinoma (SCC) and 5 normal cervixes (HC)) were included in discover cohort; 45 fresh frozen tissue samples (19 AC, 18 SCC and 8 HC) were included in verification cohort; 140 paraffin-embedded tissues samples of cervical cancer (85 AC and 55 SCC) were used for immunohistochemical evaluation (IHC) of coatomer protein subunit alpha (COPA) as a prognostic biomarker for cervical cancer; how deficiency of COPA affects cell viability and tumorigenic ability of cervical cancer cells (SiHa cells and HeLa cells) were evaluated by cell counting kit-8 and clone formation in vitro. RESULTS We identified COPA is a potential prognostic biomarker for cervical cancer in quantitative proteomics analysis. By retrospective IHC analysis, we additionally verified the proteomics results and demonstrated moderate or strong IHC staining for COPA is an unfavourable independent prognostic factor for cervical cancer. We also identified COPA is a potential pharmacological intervention target of cervical cancer by a series of in vitro experiments. CONCLUSION This study is the first to demonstrate that COPA may contribute to progression of cervical cancer. It can serve as a potential prognostic biomarker and promising intervention target for cervical cancer.
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Affiliation(s)
- Huiqiong Bao
- The Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China.,Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaobin Li
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Zhixing Cao
- Department of Pathology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Zhihong Huang
- Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Li Chen
- Zhuhai Center for Maternal and Child Health Care, Zhuhai Women and Childen's Hospital, Zhuhai, China
| | - Mingbing Wang
- The Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China.,Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiali Hu
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Wenting Li
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Hongwei Sun
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Xue Jiang
- Department of Gynecology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Ping Mei
- Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Huawen Li
- Department of Gynecology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
| | - Ligong Lu
- The Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China. .,Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China. .,Center of Intervention Radiology, Zhuhai Precision Medicine Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
| | - Meixiao Zhan
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China. .,Center of Intervention Radiology, Zhuhai Precision Medicine Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
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43
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Schmidt A, Schreiner D. Quantitative Detection of Protein Splice Variants by Selected Reaction Monitoring (SRM) Mass Spectrometry. Methods Mol Biol 2022; 2537:231-246. [PMID: 35895268 DOI: 10.1007/978-1-0716-2521-7_14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Molecular diversification of the cellular proteome through alternative splicing has emerged as an important biological principle. However, the lack of tools to specifically detect and quantify proteoforms (Smith et al., Nat Methods 10:186-187, 2013) is a major impediment to functional studies. Recently, biological mass spectrometry (MS) has undergone impressive advances (Mann, Nat Rev Mol Cell Biol 17:678, 2016), including the generation of a highly diverse set of biological applications (Aebersold and Mann, Nature 537:347-355, 2016), and has demonstrated to be an essential tool to address many biological questions (Savitski et al., Science 346:1255784, 2014; Rinner et al., Nat Methods 5:315-318, 2008). In particular, targeted LC-MS, with its high selectivity and specificity, is ideally suited for the precise and sensitive quantification of specific proteins and their proteoforms (Picotti and Aebersold, Nat Methods 9:555-566, 2012). We describe in detail the application of this workflow applied to dissect the molecular diversity of the synaptic adhesion proteins and their splicing-derived proteoforms (Schreiner et al., Elife 4:e07794, 2015).
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44
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Pascual J, Kangasjärvi S. Targeted Mass Spectrometry Analysis of Protein Phosphorylation by Selected Ion Monitoring Coupled to Parallel Reaction Monitoring (tSIM/PRM). Methods Mol Biol 2022; 2526:227-240. [PMID: 35657524 DOI: 10.1007/978-1-0716-2469-2_17] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Recent developments in targeted mass spectrometry-based proteomics have provided new methodological solutions for accurate and quantitative analysis of proteins and their posttranslational control, which has significantly advanced our understanding of stress responses in different plant species. Instrumentation allowing high-resolution, accurate-mass (HR/AM) analysis has provided new acquisition strategies for targeted quantitative proteomic analysis by targeted selected ion monitoring (tSIM) and parallel reaction monitoring (PRM). Here we report a sensitive and accurate method for targeted analysis of protein phosphorylation by tSIM coupled to PRM (tSIM/PRM). The tSIM/PRM method takes advantage of HR/AM mass spectrometers and benefits from the combination of highly sensitive precursor ion quantification by tSIM and highly confident peptide identification by spectral library matching in PRM. The detailed protocol describes tSIM/PRM analysis of Arabidopsis thaliana foliar proteins, from the building of a spectral library to sample preparation, mass spectrometry, and data analysis, and provides a methodological approach for specifying the molecular mechanisms of interest.
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Affiliation(s)
- Jesús Pascual
- Molecular Plant Biology, Department of Biochemistry, University of Turku, Turku, Finland
| | - Saijaliisa Kangasjärvi
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, FIN-00014 University of Helsinki, Helsinki, Finland.
- Department of Agricultural Sciences, Faculty of Agriculture and Forestry, FIN-00014 University of Helsinki, Helsinki, Finland.
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45
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Iannetta AA, Hicks LM. Maximizing Depth of PTM Coverage: Generating Robust MS Datasets for Computational Prediction Modeling. Methods Mol Biol 2022; 2499:1-41. [PMID: 35696073 DOI: 10.1007/978-1-0716-2317-6_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Post-translational modifications (PTMs) regulate complex biological processes through the modulation of protein activity, stability, and localization. Insights into the specific modification type and localization within a protein sequence can help ascertain functional significance. Computational models are increasingly demonstrated to offer a low-cost, high-throughput method for comprehensive PTM predictions. Algorithms are optimized using existing experimental PTM data, thus accurate prediction performance relies on the creation of robust datasets. Herein, advancements in mass spectrometry-based proteomics technologies to maximize PTM coverage are reviewed. Further, requisite experimental validation approaches for PTM predictions are explored to ensure that follow-up mechanistic studies are focused on accurate modification sites.
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Affiliation(s)
- Anthony A Iannetta
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Leslie M Hicks
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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46
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Cifani P, Kentsis A. Automated Multidimensional Nanoscale Chromatography for Ultrasensitive Targeted Mass Spectrometry. Methods Mol Biol 2022; 2393:207-224. [PMID: 34837181 PMCID: PMC10320743 DOI: 10.1007/978-1-0716-1803-5_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Recent advances in nanoscale separations and high-resolution mass spectrometry permit highly sensitive and accurate analyses of complex protein mixtures. Here, we describe improved methods for nanoscale multidimensional chromatography coupled to targeted mass spectrometry (tMS) to achieve ultrasensitive quantification of peptides in complex proteomes. The presented chromatographic system consists of capillary strong-cation exchange (SCX) chromatography column, from which peptides are eluted directly onto high-resolution reversed-phase (RP) analytical columns and nanoelectrospray ion source. SCX prefractionation is used to separate phosphorylated peptides, permitting their ultrasensitive quantification. Resolution and robustness of this chromatographic system, together with the orthogonality of SCX and RP separations, permit scheduling of large panels of targeted MS assays. This design also enables seamless scaling to three-dimensional separations, thereby enabling large-scale, ultrasensitive quantitative proteomics.
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Affiliation(s)
- Paolo Cifani
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alex Kentsis
- Molecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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47
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Lan Y, Zeng X, Xiao J, Hu L, Tan L, Liang M, Wang X, Lu S, Long F, Peng T. New advances in quantitative proteomics research and current applications in asthma. Expert Rev Proteomics 2021; 18:1045-1057. [PMID: 34890515 DOI: 10.1080/14789450.2021.2017777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Asthma is the most common chronic respiratory disease and has been declared a global public health problem by the World Health Organization. Due to the high heterogeneity and complexity, asthma can be classified into different 'phenotypes' and it is still difficult to assess the phenotypes and stages of asthma by traditional methods. In recent years, mass spectrometry-based proteomics studies have made significant progress in sensitivity and accuracy of protein identification and quantitation, and are able to obtain differences in protein expression across samples, which provides new insights into the mechanisms and classification of asthma. AREAS COVERED In this article, we summarize research strategies in quantitative proteomics, including labeled, label-free and targeted quantification, and highlight the advantages and disadvantages of each. In addition, new applications of quantitative proteomics and the current status of research in asthma have also been discussed. In this study, online resources such as PubMed and Google Scholar were used for literature retrieval. EXPERT OPINION The application of quantitative proteomics in asthma has an important role in identifying asthma subphenotypes, revealing potential pathogenesis and therapeutic targets. But the proteomic studies on asthma are not sufficient, as most of them are in the phase of biomarker discovery.
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Affiliation(s)
- Yanting Lan
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Xiaoyin Zeng
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Jing Xiao
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Longbo Hu
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Long Tan
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Mengdi Liang
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Xufei Wang
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Shaohua Lu
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Fei Long
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China
| | - Tao Peng
- Sino-French Hoffmann Institute of Immunology, State Key Laboratory of Respiratory Disease, School of Basic Medical Sciences, College of Basic-Medical Science, Guangzhou Medical University, Guangzhou, China.,Guangdong South China Vaccine Co. Ltd, Guangzhou, China
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48
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Malina C, Yu R, Björkeroth J, Kerkhoven EJ, Nielsen J. Adaptations in metabolism and protein translation give rise to the Crabtree effect in yeast. Proc Natl Acad Sci U S A 2021; 118:e2112836118. [PMID: 34903663 PMCID: PMC8713813 DOI: 10.1073/pnas.2112836118] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2021] [Indexed: 11/24/2022] Open
Abstract
Aerobic fermentation, also referred to as the Crabtree effect in yeast, is a well-studied phenomenon that allows many eukaryal cells to attain higher growth rates at high glucose availability. Not all yeasts exhibit the Crabtree effect, and it is not known why Crabtree-negative yeasts can grow at rates comparable to Crabtree-positive yeasts. Here, we quantitatively compared two Crabtree-positive yeasts, Saccharomyces cerevisiae and Schizosaccharomyces pombe, and two Crabtree-negative yeasts, Kluyveromyces marxianus and Scheffersomyces stipitis, cultivated under glucose excess conditions. Combining physiological and proteome quantification with genome-scale metabolic modeling, we found that the two groups differ in energy metabolism and translation efficiency. In Crabtree-positive yeasts, the central carbon metabolism flux and proteome allocation favor a glucose utilization strategy minimizing proteome cost as proteins translation parameters, including ribosomal content and/or efficiency, are lower. Crabtree-negative yeasts, however, use a strategy of maximizing ATP yield, accompanied by higher protein translation parameters. Our analyses provide insight into the underlying reasons for the Crabtree effect, demonstrating a coupling to adaptations in both metabolism and protein translation.
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Affiliation(s)
- Carl Malina
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Wallenberg Center for Protein Research, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
| | - Rosemary Yu
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
| | - Johan Björkeroth
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
| | - Eduard J Kerkhoven
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
| | - Jens Nielsen
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden;
- Wallenberg Center for Protein Research, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Kgs Lyngby, Denmark
- BioInnovation Institute, DK-2200, Copenhagen N, Denmark
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49
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Yan Y, Yeon SY, Qian C, You S, Yang W. On the Road to Accurate Protein Biomarkers in Prostate Cancer Diagnosis and Prognosis: Current Status and Future Advances. Int J Mol Sci 2021; 22:13537. [PMID: 34948334 PMCID: PMC8703658 DOI: 10.3390/ijms222413537] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 12/14/2021] [Indexed: 12/11/2022] Open
Abstract
Prostate cancer (PC) is a leading cause of morbidity and mortality among men worldwide. Molecular biomarkers work in conjunction with existing clinicopathologic tools to help physicians decide who to biopsy, re-biopsy, treat, or re-treat. The past decade has witnessed the commercialization of multiple PC protein biomarkers with improved performance, remarkable progress in proteomic technologies for global discovery and targeted validation of novel protein biomarkers from clinical specimens, and the emergence of novel, promising PC protein biomarkers. In this review, we summarize these advances and discuss the challenges and potential solutions for identifying and validating clinically useful protein biomarkers in PC diagnosis and prognosis. The identification of multi-protein biomarkers with high sensitivity and specificity, as well as their integration with clinicopathologic parameters, imaging, and other molecular biomarkers, bodes well for optimal personalized management of PC patients.
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Affiliation(s)
- Yiwu Yan
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.Y.); (S.Y.Y.); (C.Q.); (S.Y.)
| | - Su Yeon Yeon
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.Y.); (S.Y.Y.); (C.Q.); (S.Y.)
| | - Chen Qian
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.Y.); (S.Y.Y.); (C.Q.); (S.Y.)
| | - Sungyong You
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.Y.); (S.Y.Y.); (C.Q.); (S.Y.)
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Wei Yang
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; (Y.Y.); (S.Y.Y.); (C.Q.); (S.Y.)
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
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50
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Chang W, He G, Yan K, Wang Z, Zhang Y, Dong T, Liu Y, Zhang L, Hong L. Doping control analysis of small peptides in human urine using LC-HRMS with parallel reaction monitoring mode: screening and confirmation. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:5838-5850. [PMID: 34847571 DOI: 10.1039/d1ay01677f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
This study described a reliable analytical method, which combines solid-phase extraction (SPE) with liquid chromatography-high resolution mass spectrometry (LC-HRMS) employing the parallel reaction monitoring (PRM) mode, for screening 41 small peptides and 3 non-peptide growth hormone secretagogues in human urine. Additionally 36 small peptides and 3 non-peptide growth hormone secretagogues were also confirmed in the same way. For the whole screening procedure, the PRM mode was applied to the HRMS detection of small peptides, which reduces the background noise from matrix compounds to a large extent and thus improves the selectivity and reliability of the peptide analytes. Meanwhile, competent chromatographic separation was achieved within a total runtime of 14 minutes, indicating an improvement in the detection efficiency. Moreover, the PRM mode could also be applied to the confirmation procedure due to its strong identification power with a low risk of generating false positives or negatives and good selectivity. Validation was performed according to the relevant World Anti-Doping Agency (WADA) criteria, including selectivity and reliability, limit of detection (LOD), limit of identification (LOI), recovery, extraction stability and carryover. The LODs of the peptide analytes ranged between 0.20 ng mL-1 and 0.92 ng mL-1 in urine, while their LOIs ranged between 0.20 ng mL-1 and 2.00 ng mL-1, which met the corresponding Minimum Required Performance Levels (MRPLs) as defined by WADA. The developed method furnished the rapid and sensitive detection of small peptides in urine for more than 5000 samples with no false-positive or false-negative, indicating that it is an eligible method for doping control analysis.
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Affiliation(s)
- Wei Chang
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Genye He
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Kuan Yan
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Zhanliang Wang
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Yufeng Zhang
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Tianyu Dong
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Yunxi Liu
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Lisi Zhang
- National Anti-Doping Laboratory, No. 1 Anding Road, ChaoYang District, 100029 Beijing, People's Republic of China.
| | - Liu Hong
- School of Mathematics, Sun Yat-sen University, No. 135 Xingang Xi Road, HaiZhu District, 510275 Guangzhou, People's Republic of China.
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