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Dumas T, Martinez Pinna R, Lozano C, Radau S, Pible O, Grenga L, Armengaud J. The astounding exhaustiveness and speed of the Astral mass analyzer for highly complex samples is a quantum leap in the functional analysis of microbiomes. Microbiome 2024; 12:46. [PMID: 38454512 PMCID: PMC10918999 DOI: 10.1186/s40168-024-01766-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 01/17/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND By analyzing the proteins which are the workhorses of biological systems, metaproteomics allows us to list the taxa present in any microbiota, monitor their relative biomass, and characterize the functioning of complex biological systems. RESULTS Here, we present a new strategy for rapidly determining the microbial community structure of a given sample and designing a customized protein sequence database to optimally exploit extensive tandem mass spectrometry data. This approach leverages the capabilities of the first generation of Quadrupole Orbitrap mass spectrometer incorporating an asymmetric track lossless (Astral) analyzer, offering rapid MS/MS scan speed and sensitivity. We took advantage of data-dependent acquisition and data-independent acquisition strategies using a peptide extract from a human fecal sample spiked with precise amounts of peptides from two reference bacteria. CONCLUSIONS Our approach, which combines both acquisition methods, proves to be time-efficient while processing extensive generic databases and massive datasets, achieving a coverage of more than 122,000 unique peptides and 38,000 protein groups within a 30-min DIA run. This marks a significant departure from current state-of-the-art metaproteomics methodologies, resulting in broader coverage of the metabolic pathways governing the biological system. In combination, our strategy and the Astral mass analyzer represent a quantum leap in the functional analysis of microbiomes. Video Abstract.
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Affiliation(s)
- Thibaut Dumas
- Département Médicaments Et Technologies Pour La Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200, Bagnols-Sur-Cèze, France
| | | | - Clément Lozano
- Département Médicaments Et Technologies Pour La Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200, Bagnols-Sur-Cèze, France
| | - Sonja Radau
- Thermo Fisher Scientific GmbH, 63303, Dreieich, Germany
| | - Olivier Pible
- Département Médicaments Et Technologies Pour La Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200, Bagnols-Sur-Cèze, France
| | - Lucia Grenga
- Département Médicaments Et Technologies Pour La Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200, Bagnols-Sur-Cèze, France
| | - Jean Armengaud
- Département Médicaments Et Technologies Pour La Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200, Bagnols-Sur-Cèze, France.
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Ramos-Nascimento A, Grenga L, Haange SB, Himmelmann A, Arndt FS, Ly YT, Miotello G, Pible O, Jehmlich N, Engelmann B, von Bergen M, Mulder E, Frings-Meuthen P, Hellweg CE, Jordan J, Rolle-Kampczyk U, Armengaud J, Moeller R. Human gut microbiome and metabolite dynamics under simulated microgravity. Gut Microbes 2023; 15:2259033. [PMID: 37749878 PMCID: PMC10524775 DOI: 10.1080/19490976.2023.2259033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 09/11/2023] [Indexed: 09/27/2023] Open
Abstract
The Artificial Gravity Bed Rest - European Space Agency (AGBRESA) study was the first joint bed rest study by ESA, DLR, and NASA that examined the effect of simulated weightlessness on the human body and assessed the potential benefits of artificial gravity as a countermeasure in an analog of long-duration spaceflight. In this study, we investigated the impact of simulated microgravity on the gut microbiome of 12 participants during a 60-day head-down tilt bed rest at the :envihab facilities. Over 60 days of simulated microgravity resulted in a mild change in the gut microbiome, with distinct microbial patterns and pathway expression in the feces of the countermeasure group compared to the microgravity simulation-only group. Additionally, we found that the countermeasure protocols selectively increased the abundance of beneficial short-chain fatty acids in the gut, such as acetate, butyrate, and propionate. Some physiological signatures also included the modulation of taxa reported to be either beneficial or opportunistic, indicating a mild adaptation in the microbiome network balance. Our results suggest that monitoring the gut microbial catalog along with pathway clustering and metabolite profiling is an informative synergistic strategy to determine health disturbances and the outcome of countermeasure protocols for future space missions.
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Affiliation(s)
- Ana Ramos-Nascimento
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
| | - Lucia Grenga
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols sur Cèze, France
| | - Sven-Bastiaan Haange
- Department of Metabolomics, UFZ-Helmholtz Centre for Environmental Research Leipzig, Leipzig, Germany
| | - Alexandra Himmelmann
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
| | - Franca Sabine Arndt
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
| | - Yen-Tran Ly
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
| | - Guylaine Miotello
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols sur Cèze, France
| | - Olivier Pible
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols sur Cèze, France
| | - Nico Jehmlich
- Department of Metabolomics, UFZ-Helmholtz Centre for Environmental Research Leipzig, Leipzig, Germany
| | - Beatrice Engelmann
- Department of Metabolomics, UFZ-Helmholtz Centre for Environmental Research Leipzig, Leipzig, Germany
| | - Martin von Bergen
- Department of Metabolomics, UFZ-Helmholtz Centre for Environmental Research Leipzig, Leipzig, Germany
| | - Edwin Mulder
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
| | - Petra Frings-Meuthen
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
| | | | - Jens Jordan
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
| | - Ulrike Rolle-Kampczyk
- Department of Metabolomics, UFZ-Helmholtz Centre for Environmental Research Leipzig, Leipzig, Germany
| | - Jean Armengaud
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols sur Cèze, France
| | - Ralf Moeller
- Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), Cologne, Germany
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Abstract
To meet clinical diagnostic needs and for general microbiological screening, it is essential to be able to accurately and rapidly identify any microorganisms from complex microbiota. To gain insight into the individual components of microbiota, culturomics has been proposed as a means to systematically test hundreds of possible cultivation conditions and generate numerous microbial isolates with very distinct characteristics. High-throughput identification methods must now be developed to quickly screen these isolates. Currently, most multiplexing methods involve labeling, which comes at a cost. In this paper, we present an innovative label-free multiplexing method for the identification of microorganisms using tandem mass spectrometry. The method is based on offline reversed-phase fractionation of individual peptidomes. Multiplexing is achieved by mixing fractions of staged hydrophobicity; thus, each sample is mapped to specific elution times. In this proof-of-concept study, multiplexed samples were analyzed by tandem mass spectrometry in a single run and microorganisms present in the mixture were resolved by phylopeptidomics proteotyping. Using this methodology, up to 21 microorganisms could be identified in a single 60 min run performed with a Q-Exactive HF high-resolution mass spectrometer, resulting in a rate of one microorganism identified per 3 min of mass spectrometry, without any need for the use of labeling reagents. This approach opens new perspectives for the application of high-throughput proteotyping of bacteria using tandem mass spectrometry in large culturomics projects.
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Affiliation(s)
- Madisson Chabas
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
- Laboratoire Innovations Technologiques pour la Détection et le Diagnostic (Li2D), Université de Montpellier, F-30207 Bagnols-sur-Cèze, France
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
| | - Béatrice Alpha-Bazin
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
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Mappa C, Alpha-Bazin B, Pible O, Armengaud J. Mix24X, a Lab-Assembled Reference to Evaluate Interpretation Procedures for Tandem Mass Spectrometry Proteotyping of Complex Samples. Int J Mol Sci 2023; 24:ijms24108634. [PMID: 37239979 DOI: 10.3390/ijms24108634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 05/09/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
Correct identification of the microorganisms present in a complex sample is a crucial issue. Proteotyping based on tandem mass spectrometry can help establish an inventory of organisms present in a sample. Evaluation of bioinformatics strategies and tools for mining the recorded datasets is essential to establish confidence in the results obtained and to improve these pipelines in terms of sensitivity and accuracy. Here, we propose several tandem mass spectrometry datasets recorded on an artificial reference consortium comprising 24 bacterial species. This assemblage of environmental and pathogenic bacteria covers 20 different genera and 5 bacterial phyla. The dataset comprises difficult cases, such as the Shigella flexneri species, which is closely related to Escherichia coli, and several highly sequenced clades. Different acquisition strategies simulate real-life scenarios: from rapid survey sampling to exhaustive analysis. We provide access to individual proteomes of each bacterium separately to provide a rational basis for evaluating the assignment strategy of MS/MS spectra when recorded from complex mixtures. This resource should provide an interesting common reference for developers who wish to compare their proteotyping tools and for those interested in evaluating protein assignment when dealing with complex samples, such as microbiomes.
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Affiliation(s)
- Charlotte Mappa
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
- Laboratoire Innovations Technologiques Pour la Détection et le Diagnostic (Li2D), Université de Montpellier, 30207 Bagnols sur Cèze, France
| | - Béatrice Alpha-Bazin
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, 30200 Bagnols-sur-Cèze, France
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5
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Mappa C, Alpha-Bazin B, Pible O, Armengaud J. Evaluation of the Limit of Detection of Bacteria by Tandem Mass Spectrometry Proteotyping and Phylopeptidomics. Microorganisms 2023; 11:1170. [PMCID: PMC10223342 DOI: 10.3390/microorganisms11051170] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 06/01/2023] Open
Abstract
Shotgun proteomics has proven to be an attractive alternative for identifying a pathogen and characterizing the antimicrobial resistance genes it produces. Because of its performance, proteotyping of microorganisms by tandem mass spectrometry is expected to become an essential tool in modern healthcare. Proteotyping microorganisms that have been isolated from the environment by culturomics is also a cornerstone for the development of new biotechnological applications. Phylopeptidomics is a new strategy that estimates the phylogenetic distances between the organisms present in the sample and calculates the ratio of their shared peptides, thus improving the quantification of their contributions to the biomass. Here, we established the limit of detection of tandem mass spectrometry proteotyping based on MS/MS data recorded for several bacteria. The limit of detection for Salmonella bongori with our experimental set-up is 4 × 104 colony-forming units from a sample volume of 1 mL. This limit of detection is directly related to the amount of protein per cell and therefore depends on the shape and size of the microorganism. We have demonstrated that identification of bacteria by phylopeptidomics is independent of their growth stage and that the limit of detection of the method is not degraded in presence of additional bacteria in the same proportion.
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Affiliation(s)
- Charlotte Mappa
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
- Laboratoire Innovations Technologiques pour la Détection et le Diagnostic (Li2D), Université de Montpellier, 30207 Bagnols-sur-Cèze, France
| | - Béatrice Alpha-Bazin
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Olivier Pible
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
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6
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Oumarou Hama H, Chenal T, Pible O, Miotello G, Armengaud J, Drancourt M. An ancient coronavirus from individuals in France, circa 16 th century. Int J Infect Dis 2023; 131:7-12. [PMID: 36924840 PMCID: PMC10014125 DOI: 10.1016/j.ijid.2023.03.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/02/2023] [Accepted: 03/08/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND At the time when the COVID-19 pandemic was responsible for more than six million deaths worldwide, the antiquity of Coronaviruses remains undefined. We investigated individuals buried in 16th century in France, for the direct and paleoserological diagnosis of Coronavirus. METHODS The 2011-2012 excavation of abbey Saint-Pierre in Baume-les-Messieurs, France uncovered 12 skeletons of individuals ranging from the 13th-18th centuries. Total proteins extracted from dental pulps were subjected to microbial paleoserology targeting the Coronavirus SARS-CoV-2, HCoV-229E and OC43 antigens and for Coronavirus peptide research using metaproteomics; in parallel to negative controls. RESULTS Three peptide sequences totaling 36 amino acids indicative of a Coronavirus were retrieved from dental pulp remains collected from two individuals buried circa at 16th century, in whom paleoserology confirmed a specific immunological response against modern-day SARS-CoV-2 and HCoV-229E. CONCLUSIONS We provide serological and proteomic evidence for a betacoronavirus with no modern correspondent, infecting 16th century populations, extending the antiquity of coronaviruses by more than three centuries. Historical, archaeozoological and paleoproteomic data suggested close contacts between these two individuals and domestic swine, cattle, and poultry, suggesting an ancient zoonotic coronavirus. Coronaviruses have been undesirable companions of populations long before the ongoing coronavirus disease 2019 outbreak emerged.
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Affiliation(s)
- Hamadou Oumarou Hama
- Aix Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, 13005 Marseille, France.
| | | | - Olivier Pible
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols sur Cèze, France
| | - Guylaine Miotello
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols sur Cèze, France
| | - Jean Armengaud
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols sur Cèze, France
| | - Michel Drancourt
- Aix Marseille Université, IRD, MEPHI, IHU Méditerranée Infection, 13005 Marseille, France.
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7
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Bourdin V, Charlier P, Crevat S, Slimani L, Chaussain C, Kielbasa M, Pible O, Armengaud J. Deep Paleoproteotyping and Microtomography Revealed No Heart Defect nor Traces of Embalming in the Cardiac Relics of Blessed Pauline Jaricot. Int J Mol Sci 2023; 24:ijms24033011. [PMID: 36769339 PMCID: PMC9917977 DOI: 10.3390/ijms24033011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/22/2023] [Accepted: 01/23/2023] [Indexed: 02/09/2023] Open
Abstract
Scientific examination of the heart of Blessed Pauline Jaricot-a French missionary figure-was carried out in 2022. As tandem mass spectrometry proteotyping has proven to be valuable to obtain the broad taxonomic repertoire of a given sample without any a priori information, we aimed at exploring the conditions of preservation of the relics and possible conditions of death. Metaproteomics and high-resolution microtomography imaging approaches were combined. A dataset comprising 6731 high-resolution MS/MS spectra was acquired and 968 of these spectra could be assigned to specific peptidic biomolecules. Based on the taxonomical information encompassed by the identified peptide sequences, 5 phyla were identified amongst eukaryota (94% of the biomass): Ascomycota (55%), with the species Aspergillus versicolor, Trichophyton mentagrophytes and Aspergillus glaucus, corresponding to expected cadaverous fungal flora; Chordata (42%), represented by a unique species, Homo sapiens; Streptophyta (3%); and Arthropoda (traces). Bacteria (6% of the biomass) were poorly represented. No trace of embalming substance could be retrieved, nor any pathogens. Imaging evidenced no heart defect nor embalming traces. No evidence that was inconsistent with natural and spontaneous conservation could be retrieved. This study prefigures the power of modern molecular techniques such as paleoproteotyping coupled to microtomography to gain insight into historical relics.
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Affiliation(s)
- Virginie Bourdin
- Museum of Quai Branly—Jacques Chirac, 222 rue de l’Université, 75007 Paris, France
- Laboratory Anthropology, Archaeology, Biology (LAAB), UFR of Health Sciences (Paris-Saclay University), 2 avenue de la Source de la Bièvre, 78180 Montigny-Le-Bretonneux, France
- Correspondence:
| | - Philippe Charlier
- Museum of Quai Branly—Jacques Chirac, 222 rue de l’Université, 75007 Paris, France
- Laboratory Anthropology, Archaeology, Biology (LAAB), UFR of Health Sciences (Paris-Saclay University), 2 avenue de la Source de la Bièvre, 78180 Montigny-Le-Bretonneux, France
- Foundation Anthropology, Archaeology, Biology (FAAB)—Institut de France, 23 quai de Conti, 75006 Paris, France
| | - Stéphane Crevat
- Arlliage, 6 Grande Route des Feuillants, F-69001 Lyon, France
| | - Lotfi Slimani
- Université Paris Cité, Laboratory URP2496 Orofacial Pathologies, Imaging and Biotherapies, PIV Platform, Dental School, 1 rue Maurice Arnoux, 92120 Montrouge, France
| | - Catherine Chaussain
- Université Paris Cité, Laboratory URP2496 Orofacial Pathologies, Imaging and Biotherapies, PIV Platform, Dental School, 1 rue Maurice Arnoux, 92120 Montrouge, France
- APHP, Hôpital Bretonneau, GH Nord Université Paris Cité, 75018 Paris, France
| | - Mélodie Kielbasa
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Olivier Pible
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
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Pible O, Petit P, Steinmetz G, Rivasseau C, Armengaud J. Taxonomical composition and functional analysis of biofilms sampled from a nuclear storage pool. Front Microbiol 2023; 14:1148976. [PMID: 37125163 PMCID: PMC10133526 DOI: 10.3389/fmicb.2023.1148976] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/27/2023] [Indexed: 05/02/2023] Open
Abstract
Sampling small amounts of biofilm from harsh environments such as the biofilm present on the walls of a radioactive material storage pool offers few analytical options if taxonomic characterization and estimation of the different biomass contributions are the objectives. Although 16S/18S rRNA amplification on extracted DNA and sequencing is the most widely applied method, its reliability in terms of quantitation has been questioned as yields can be species-dependent. Here, we propose a tandem-mass spectrometry proteotyping approach consisting of acquiring peptide data and interpreting then against a generalist database without any a priori. The peptide sequence information is transformed into useful taxonomical information that allows to obtain the different biomass contributions at different taxonomical ranks. This new methodology is applied for the first time to analyze the composition of biofilms from minute quantities of material collected from a pool used to store radioactive sources in a nuclear facility. For these biofilms, we report the identification of three genera, namely Sphingomonas, Caulobacter, and Acidovorax, and their functional characterization by metaproteomics which shows that these organisms are metabolic active. Differential expression of Gene Ontology GOslim terms between the two main microorganisms highlights their metabolic specialization.
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Affiliation(s)
- Olivier Pible
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, France
| | - Pauline Petit
- Université Grenoble Alpes, CEA, CNRS, IRIG, Grenoble, France
| | - Gérard Steinmetz
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, France
| | - Corinne Rivasseau
- Université Grenoble Alpes, CEA, CNRS, IRIG, Grenoble, France
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France
| | - Jean Armengaud
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, France
- *Correspondence: Jean Armengaud,
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Hardouin P, Pible O, Marchandin H, Culotta K, Armengaud J, Chiron R, Grenga L. Quick and wide-range taxonomical repertoire establishment of the cystic fibrosis lung microbiota by tandem mass spectrometry on sputum samples. Front Microbiol 2022; 13:975883. [PMID: 36312921 PMCID: PMC9608366 DOI: 10.3389/fmicb.2022.975883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/15/2022] [Indexed: 11/19/2022] Open
Abstract
Microorganisms proteotyping by tandem mass spectrometry has been recently shown as a powerful methodology to identify the wide-range taxonomy and biomass of microbiota. Sputum is the recommended specimen for routine microbiological monitoring of Cystic Fibrosis (CF) patients but has been rarely submitted to tandem mass spectrometry-based proteotyping. In this study, we compared the microbial components of spontaneous and induced sputum samples from three cystic fibrosis patients. Although the presence of microbial proteins is much lower than host proteins, we report that the microbiota’s components present in the samples can be identified, as well as host biomarkers and functional insights into the microbiota. No significant difference was found in microorganism abundance between paired spontaneous and induced sputum samples. Microbial proteins linked to resistance, iron uptake, and biofilm-forming ability were observed in sputa independently of the sampling method. This unbiased and enlarged view of the CF microbiome could be highly complementary to culture and relevant for the clinical management of CF patients by improving knowledge about the host-pathogen dynamics and CF pathophysiology.
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Affiliation(s)
- Pauline Hardouin
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
- Université de Montpellier, Laboratoire Innovations Technologiques pour la Détection et le Diagnostic (Li2D), Bagnols-sur-Cèze, France
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
| | - Hélène Marchandin
- HydroSciences Montpellier, CNRS, IRD, Service de Microbiologie et Hygiène Hospitalière, Université de Montpellier, CHU de Nîmes, Nîmes, France
| | - Karen Culotta
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
| | - Raphaël Chiron
- HydroSciences Montpellier, CNRS, IRD, Centre de Ressources et de Compétences de la Mucoviscidose, Université de Montpellier, CHU de Montpellier, Montpellier, France
| | - Lucia Grenga
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, Bagnols-sur-Cèze, France
- *Correspondence: Lucia Grenga,
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10
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Mehta S, Carvalho VM, Rajczewski AT, Pible O, Grüning BA, Johnson JE, Wagner R, Armengaud J, Griffin TJ, Jagtap PD. Catching the Wave: Detecting Strain-Specific SARS-CoV-2 Peptides in Clinical Samples Collected during Infection Waves from Diverse Geographical Locations. Viruses 2022; 14:2205. [PMID: 36298760 PMCID: PMC9609567 DOI: 10.3390/v14102205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 11/05/2022] Open
Abstract
The Coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) resulted in a major health crisis worldwide with its continuously emerging new strains, resulting in new viral variants that drive "waves" of infection. PCR or antigen detection assays have been routinely used to detect clinical infections; however, the emergence of these newer strains has presented challenges in detection. One of the alternatives has been to detect and characterize variant-specific peptide sequences from viral proteins using mass spectrometry (MS)-based methods. MS methods can potentially help in both diagnostics and vaccine development by understanding the dynamic changes in the viral proteome associated with specific strains and infection waves. In this study, we developed an accessible, flexible, and shareable bioinformatics workflow that was implemented in the Galaxy Platform to detect variant-specific peptide sequences from MS data derived from the clinical samples. We demonstrated the utility of the workflow by characterizing published clinical data from across the world during various pandemic waves. Our analysis identified six SARS-CoV-2 variant-specific peptides suitable for confident detection by MS in commonly collected clinical samples.
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Affiliation(s)
- Subina Mehta
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Andrew T. Rajczewski
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, 30200 Bagnols-sur-Cèze, France
| | - Björn A. Grüning
- Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany
| | - James E. Johnson
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455, USA
| | - Reid Wagner
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455, USA
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, 30200 Bagnols-sur-Cèze, France
| | - Timothy J. Griffin
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Pratik D. Jagtap
- Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA
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11
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Hardouin P, Chiron R, Pible O, Marchandin H, Armengaud J, Grenga L. P120 Metaproteomics profiling of the respiratory microbiota of cystic fibrosis (CF) patients infected by Mycobacterium abscessus. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)00453-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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12
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Grenga L, Pible O, Miotello G, Culotta K, Ruat S, Roncato MA, Gas F, Bellanger L, Claret PG, Dunyach-Remy C, Laureillard D, Sotto A, Lavigne JP, Armengaud J. Taxonomical and functional changes in COVID-19 faecal microbiome could be related to SARS-CoV-2 faecal load. Environ Microbiol 2022; 24:4299-4316. [PMID: 35506300 PMCID: PMC9347659 DOI: 10.1111/1462-2920.16028] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 01/08/2023]
Abstract
Since the beginning of the pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the gastro-intestinal (GI) tract has emerged as an important organ influencing the propensity to and potentially the severity of the related COVID-19 disease. However, the contribution of the SARS-CoV-2 intestinal infection on COVID-19 pathogenesis remains to be clarified. In this exploratory study, we highlighted a possible link between alterations in the composition of the gut microbiota and the levels of SARS-CoV-2 RNA in the gastrointestinal tract, which could be more important than the presence of SARS-CoV-2 in the respiratory tract, COVID-19 severity and GI symptoms. As established by metaproteomics, altered molecular functions in the microbiota profiles of high SARS-CoV-2 RNA level faeces highlight mechanisms such as inflammation-induced enterocyte damage, increased intestinal permeability and activation of immune response that may contribute to vicious cycles. Uncovering the role of this gut microbiota dysbiosis could drive the investigation of alternative therapeutic strategies to favour the clearance of the virus and potentially mitigate the effect of the SARS-CoV-2 infection. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Lucia Grenga
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Olivier Pible
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Guylaine Miotello
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Karen Culotta
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Sylvie Ruat
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Marie-Anne Roncato
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Fabienne Gas
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Laurent Bellanger
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | | | - Catherine Dunyach-Remy
- Virulence Bactérienne et Infections Chroniques, INSERM U1047, Université Montpellier, Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, 30908, Nîmes, France
| | - Didier Laureillard
- Service des Maladies Infectieuses et Tropicales, CHU Nîmes, 30029, Nîmes, France
| | - Albert Sotto
- Virulence Bactérienne et Infections Chroniques, INSERM U1047, Université de Montpellier, Service des Maladies Infectieuses et Tropicales, CHU Nîmes, 30908, Nîmes, France
| | - Jean-Philippe Lavigne
- Virulence Bactérienne et Infections Chroniques, INSERM U1047, Université Montpellier, Service de Microbiologie et Hygiène Hospitalière, CHU Nîmes, 30908, Nîmes, France
| | - Jean Armengaud
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
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13
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Lozano C, Kielbasa M, Gaillard JC, Miotello G, Pible O, Armengaud J. Identification and Characterization of Marine Microorganisms by Tandem Mass Spectrometry Proteotyping. Microorganisms 2022; 10:microorganisms10040719. [PMID: 35456770 PMCID: PMC9027524 DOI: 10.3390/microorganisms10040719] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/21/2022] [Accepted: 03/24/2022] [Indexed: 02/01/2023] Open
Abstract
The vast majority of marine microorganisms and their functions are yet to be explored. The considerable diversity they encompass is an endless source of knowledge and wealth that can be valued on an industrial scale, emphasizing the need to develop rapid and efficient identification and characterization techniques. In this study, we identified 26 microbial isolates from coastal water of the NW Mediterranean Sea, using phylopeptidomics, a cutting-edge tandem mass spectrometry proteotyping technique. Taxonomical identification at the species level was successfully conducted for all isolates. The presence of strains belonging to the newly described Balneolaeota phylum, yet uncharacterized at the proteomics scale, was noted. The very first proteomics-based investigation of a representative of the Balneolaeota phylum, Balneola vulgaris, is proposed, demonstrating the use of our proteotyping workflow for the rapid identification and in-depth molecular characterization, in a single MS/MS analytical run. Tandem mass spectrometry proteotyping is a valuable asset for culturomic programs as the methodology is able to quickly classify the most atypical isolates.
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14
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Hirtz C, Mannaa AM, Moulis E, Pible O, O’Flynn R, Armengaud J, Jouffret V, Lemaistre C, Dominici G, Martinez AY, Dunyach-Remy C, Tiers L, Lavigne JP, Tramini P, Goldsmith MC, Lehmann S, Deville de Périère D, Vialaret J. Deciphering Black Extrinsic Tooth Stain Composition in Children Using Metaproteomics. ACS Omega 2022; 7:8258-8267. [PMID: 35309464 PMCID: PMC8928488 DOI: 10.1021/acsomega.1c04770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 12/20/2021] [Indexed: 06/14/2023]
Abstract
The present study focuses on the use of a metaproteomic approach to analyze Black Extrinsic Tooth Stains, a specific type of pigmented extrinsic substance. Metaproteomics is a powerful emerging technology that successfully enabled human protein and bacterial identification of this specific dental biofilm using high-resolution tandem mass spectrometry. A total of 1600 bacterial proteins were identified in black stain (BS) samples and 2058 proteins in dental plaque (DP) samples, whereas 607 and 582 human proteins were identified in BS and DP samples, respectively. A large diversity of bacteria genera (142) in BS and DP was identified, showing a high prevalence of Rothia, Kingella, Neisseria, and Pseudopropionibacterium in black stain samples. In this work, the high diversity of the dental microbiota and its proteome is highlighted, including significant differences between black stain and dental plaque samples.
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Affiliation(s)
- Christophe Hirtz
- Univ
Montpellier, INM, IRMB, INSERM, CHU Montpellier, CNRS, Montpellier 34070, France
| | - Atef Mahmoud Mannaa
- Higher
Institute of Engineering and Technology, New Borg AlArab City 21934, Alexandria, Egypt
- INSERM
U1192, Laboratoire Protéomique, Réponse Inflammatoire
& Spectrométrie de Masse (PRISM), Université de Lille, Lille F-59000, France
| | - Estelle Moulis
- U.F.R.
d’Odontologie, Département de pédodontie, 545, Avenue du Professeur Jean-Louis
Viala, Montpellier Cedex 5 34 193, France
| | - Olivier Pible
- Laboratoire
Innovations Technologiques pour la Détection et le Diagnostic
(Li2D), Université de Montpellier, Bagnols-sur-Cèze F-30207, France
| | - Robin O’Flynn
- U.F.R.
d’Odontologie, Département de pédodontie, 545, Avenue du Professeur Jean-Louis
Viala, Montpellier Cedex 5 34 193, France
| | - Jean Armengaud
- Laboratoire
Innovations Technologiques pour la Détection et le Diagnostic
(Li2D), Université de Montpellier, Bagnols-sur-Cèze F-30207, France
| | - Virginie Jouffret
- Laboratoire
Innovations Technologiques pour la Détection et le Diagnostic
(Li2D), Université de Montpellier, Bagnols-sur-Cèze F-30207, France
| | - Camille Lemaistre
- U.F.R.
d’Odontologie, Département de pédodontie, 545, Avenue du Professeur Jean-Louis
Viala, Montpellier Cedex 5 34 193, France
| | - Gabriel Dominici
- U.F.R.
d’Odontologie, Département de pédodontie, 545, Avenue du Professeur Jean-Louis
Viala, Montpellier Cedex 5 34 193, France
| | - Alex Yahiaoui Martinez
- Virulence
Bactérienne et Infections Chroniques, INSERM U1047, Univ Montpellier,
Department of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes 30029, France
| | - Catherine Dunyach-Remy
- Virulence
Bactérienne et Infections Chroniques, INSERM U1047, Univ Montpellier,
Department of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes 30029, France
| | - Laurent Tiers
- Univ
Montpellier, INM, IRMB, INSERM, CHU Montpellier, CNRS, Montpellier 34070, France
| | - Jean-Philippe Lavigne
- Virulence
Bactérienne et Infections Chroniques, INSERM U1047, Univ Montpellier,
Department of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes 30029, France
| | - Paul Tramini
- U.F.R.
d’Odontologie, Département de pédodontie, 545, Avenue du Professeur Jean-Louis
Viala, Montpellier Cedex 5 34 193, France
| | - Marie-christine Goldsmith
- U.F.R.
d’Odontologie, Département de pédodontie, 545, Avenue du Professeur Jean-Louis
Viala, Montpellier Cedex 5 34 193, France
| | - Sylvain Lehmann
- Univ
Montpellier, INM, IRMB, INSERM, CHU Montpellier, CNRS, Montpellier 34070, France
| | | | - Jerome Vialaret
- Univ
Montpellier, INM, IRMB, INSERM, CHU Montpellier, CNRS, Montpellier 34070, France
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15
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Van Den Bossche T, Kunath BJ, Schallert K, Schäpe SS, Abraham PE, Armengaud J, Arntzen MØ, Bassignani A, Benndorf D, Fuchs S, Giannone RJ, Griffin TJ, Hagen LH, Halder R, Henry C, Hettich RL, Heyer R, Jagtap P, Jehmlich N, Jensen M, Juste C, Kleiner M, Langella O, Lehmann T, Leith E, May P, Mesuere B, Miotello G, Peters SL, Pible O, Queiros PT, Reichl U, Renard BY, Schiebenhoefer H, Sczyrba A, Tanca A, Trappe K, Trezzi JP, Uzzau S, Verschaffelt P, von Bergen M, Wilmes P, Wolf M, Martens L, Muth T. Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows. Nat Commun 2021; 12:7305. [PMID: 34911965 PMCID: PMC8674281 DOI: 10.1038/s41467-021-27542-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 11/24/2021] [Indexed: 12/17/2022] Open
Abstract
Metaproteomics has matured into a powerful tool to assess functional interactions in microbial communities. While many metaproteomic workflows are available, the impact of method choice on results remains unclear. Here, we carry out a community-driven, multi-laboratory comparison in metaproteomics: the critical assessment of metaproteome investigation study (CAMPI). Based on well-established workflows, we evaluate the effect of sample preparation, mass spectrometry, and bioinformatic analysis using two samples: a simplified, laboratory-assembled human intestinal model and a human fecal sample. We observe that variability at the peptide level is predominantly due to sample processing workflows, with a smaller contribution of bioinformatic pipelines. These peptide-level differences largely disappear at the protein group level. While differences are observed for predicted community composition, similar functional profiles are obtained across workflows. CAMPI demonstrates the robustness of present-day metaproteomics research, serves as a template for multi-laboratory studies in metaproteomics, and provides publicly available data sets for benchmarking future developments.
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Affiliation(s)
- Tim Van Den Bossche
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Benoit J Kunath
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Kay Schallert
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Stephanie S Schäpe
- Department of Molecular Systems Biology, Helmholtz-Centre for Environmental Research - UFZ GmbH, Leipzig, Germany
| | - Paul E Abraham
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPI, 30200, Bagnols-sur-Cèze, France
| | - Magnus Ø Arntzen
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Ariane Bassignani
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Dirk Benndorf
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Microbiology, Department of Applied Biosciences and Process Technology, Anhalt University of Applied Sciences, Köthen, Germany
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Stephan Fuchs
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
| | | | - Timothy J Griffin
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Live H Hagen
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Rashi Halder
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Céline Henry
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Robert L Hettich
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Robert Heyer
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Pratik Jagtap
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Nico Jehmlich
- Department of Molecular Systems Biology, Helmholtz-Centre for Environmental Research - UFZ GmbH, Leipzig, Germany
| | - Marlene Jensen
- Department of Plant & Microbial Biology, North Carolina State University, Raleigh, USA
| | - Catherine Juste
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Manuel Kleiner
- Department of Plant & Microbial Biology, North Carolina State University, Raleigh, USA
| | - Olivier Langella
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE - Le Moulon, 91190, Gif-sur-Yvette, France
| | - Theresa Lehmann
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Emma Leith
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Bart Mesuere
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Guylaine Miotello
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPI, 30200, Bagnols-sur-Cèze, France
| | - Samantha L Peters
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPI, 30200, Bagnols-sur-Cèze, France
| | - Pedro T Queiros
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Udo Reichl
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Bernhard Y Renard
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
- Data Analytics and Computational Statistics, Hasso-Plattner-Institute, Faculty of Digital Engineering, University of Potsdam, Potsdam, Germany
| | - Henning Schiebenhoefer
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
- Data Analytics and Computational Statistics, Hasso-Plattner-Institute, Faculty of Digital Engineering, University of Potsdam, Potsdam, Germany
| | | | - Alessandro Tanca
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Kathrin Trappe
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
| | - Jean-Pierre Trezzi
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Integrated Biobank of Luxembourg, Luxembourg Institute of Health, 1, rue Louis Rech, L-3555, Dudelange, Luxembourg
| | - Sergio Uzzau
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Pieter Verschaffelt
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Martin von Bergen
- Department of Molecular Systems Biology, Helmholtz-Centre for Environmental Research - UFZ GmbH, Leipzig, Germany
| | - Paul Wilmes
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, 6 avenue du Swing, L-4367, Belvaux, Luxembourg
| | - Maximilian Wolf
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Lennart Martens
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium.
- Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| | - Thilo Muth
- Section eScience (S.3), Federal Institute for Materials Research and Testing, Berlin, Germany
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16
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Van Den Bossche T, Kunath BJ, Schallert K, Schäpe SS, Abraham PE, Armengaud J, Arntzen MØ, Bassignani A, Benndorf D, Fuchs S, Giannone RJ, Griffin TJ, Hagen LH, Halder R, Henry C, Hettich RL, Heyer R, Jagtap P, Jehmlich N, Jensen M, Juste C, Kleiner M, Langella O, Lehmann T, Leith E, May P, Mesuere B, Miotello G, Peters SL, Pible O, Queiros PT, Reichl U, Renard BY, Schiebenhoefer H, Sczyrba A, Tanca A, Trappe K, Trezzi JP, Uzzau S, Verschaffelt P, von Bergen M, Wilmes P, Wolf M, Martens L, Muth T. Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows. Nat Commun 2021; 12:7305. [PMID: 34911965 DOI: 10.1101/2021.03.05.433915] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 11/24/2021] [Indexed: 05/21/2023] Open
Abstract
Metaproteomics has matured into a powerful tool to assess functional interactions in microbial communities. While many metaproteomic workflows are available, the impact of method choice on results remains unclear. Here, we carry out a community-driven, multi-laboratory comparison in metaproteomics: the critical assessment of metaproteome investigation study (CAMPI). Based on well-established workflows, we evaluate the effect of sample preparation, mass spectrometry, and bioinformatic analysis using two samples: a simplified, laboratory-assembled human intestinal model and a human fecal sample. We observe that variability at the peptide level is predominantly due to sample processing workflows, with a smaller contribution of bioinformatic pipelines. These peptide-level differences largely disappear at the protein group level. While differences are observed for predicted community composition, similar functional profiles are obtained across workflows. CAMPI demonstrates the robustness of present-day metaproteomics research, serves as a template for multi-laboratory studies in metaproteomics, and provides publicly available data sets for benchmarking future developments.
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Affiliation(s)
- Tim Van Den Bossche
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Benoit J Kunath
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Kay Schallert
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Stephanie S Schäpe
- Department of Molecular Systems Biology, Helmholtz-Centre for Environmental Research - UFZ GmbH, Leipzig, Germany
| | - Paul E Abraham
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPI, 30200, Bagnols-sur-Cèze, France
| | - Magnus Ø Arntzen
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Ariane Bassignani
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Dirk Benndorf
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Microbiology, Department of Applied Biosciences and Process Technology, Anhalt University of Applied Sciences, Köthen, Germany
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Stephan Fuchs
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
| | | | - Timothy J Griffin
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Live H Hagen
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway
| | - Rashi Halder
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Céline Henry
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Robert L Hettich
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Robert Heyer
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Pratik Jagtap
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Nico Jehmlich
- Department of Molecular Systems Biology, Helmholtz-Centre for Environmental Research - UFZ GmbH, Leipzig, Germany
| | - Marlene Jensen
- Department of Plant & Microbial Biology, North Carolina State University, Raleigh, USA
| | - Catherine Juste
- INRAE, AgroParisTech, Micalis Institute, Université Paris-Saclay, 78350, Jouy-en-Josas, France
| | - Manuel Kleiner
- Department of Plant & Microbial Biology, North Carolina State University, Raleigh, USA
| | - Olivier Langella
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE - Le Moulon, 91190, Gif-sur-Yvette, France
| | - Theresa Lehmann
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Emma Leith
- Department of Biochemistry Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Bart Mesuere
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Guylaine Miotello
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPI, 30200, Bagnols-sur-Cèze, France
| | - Samantha L Peters
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPI, 30200, Bagnols-sur-Cèze, France
| | - Pedro T Queiros
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Udo Reichl
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
| | - Bernhard Y Renard
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
- Data Analytics and Computational Statistics, Hasso-Plattner-Institute, Faculty of Digital Engineering, University of Potsdam, Potsdam, Germany
| | - Henning Schiebenhoefer
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
- Data Analytics and Computational Statistics, Hasso-Plattner-Institute, Faculty of Digital Engineering, University of Potsdam, Potsdam, Germany
| | | | - Alessandro Tanca
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Kathrin Trappe
- Bioinformatics Unit (MF1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin, Germany
| | - Jean-Pierre Trezzi
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Integrated Biobank of Luxembourg, Luxembourg Institute of Health, 1, rue Louis Rech, L-3555, Dudelange, Luxembourg
| | - Sergio Uzzau
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Pieter Verschaffelt
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
- Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium
| | - Martin von Bergen
- Department of Molecular Systems Biology, Helmholtz-Centre for Environmental Research - UFZ GmbH, Leipzig, Germany
| | - Paul Wilmes
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, 6 avenue du Swing, L-4367, Belvaux, Luxembourg
| | - Maximilian Wolf
- Bioprocess Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Lennart Martens
- VIB - UGent Center for Medical Biotechnology, VIB, Ghent, Belgium.
- Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| | - Thilo Muth
- Section eScience (S.3), Federal Institute for Materials Research and Testing, Berlin, Germany
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17
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Jouffret V, Miotello G, Culotta K, Ayrault S, Pible O, Armengaud J. Increasing the power of interpretation for soil metaproteomics data. Microbiome 2021; 9:195. [PMID: 34587999 PMCID: PMC8482631 DOI: 10.1186/s40168-021-01139-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 07/29/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Soil and sediment microorganisms are highly phylogenetically diverse but are currently largely under-represented in public molecular databases. Their functional characterization by means of metaproteomics is usually performed using metagenomic sequences acquired for the same sample. However, such hugely diverse metagenomic datasets are difficult to assemble; in parallel, theoretical proteomes from isolates available in generic databases are of high quality. Both these factors advocate for the use of theoretical proteomes in metaproteomics interpretation pipelines. Here, we examined a number of database construction strategies with a view to increasing the outputs of metaproteomics studies performed on soil samples. RESULTS The number of peptide-spectrum matches was found to be of comparable magnitude when using public or sample-specific metagenomics-derived databases. However, numbers were significantly increased when a combination of both types of information was used in a two-step cascaded search. Our data also indicate that the functional annotation of the metaproteomics dataset can be maximized by using a combination of both types of databases. CONCLUSIONS A two-step strategy combining sample-specific metagenome database and public databases such as the non-redundant NCBI database and a massive soil gene catalog allows maximizing the metaproteomic interpretation both in terms of ratio of assigned spectra and retrieval of function-derived information. Video abstract.
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Affiliation(s)
- Virginie Jouffret
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, F-30200, Bagnols-sur-Cèze, France
- Laboratoire des Sciences et de l'Environnement (LSCE-IPSL), UMR 8212 (CEA/CNRS/UVSQ), CEA Saclay, Université Paris-Saclay, Orme des Merisiers, F-91191, Gif-sur-Yvette, France
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Université de Montpellier, F-30207, Bagnols-sur-Cèze, France
| | - Guylaine Miotello
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, F-30200, Bagnols-sur-Cèze, France
| | - Karen Culotta
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, F-30200, Bagnols-sur-Cèze, France
| | - Sophie Ayrault
- Laboratoire des Sciences et de l'Environnement (LSCE-IPSL), UMR 8212 (CEA/CNRS/UVSQ), CEA Saclay, Université Paris-Saclay, Orme des Merisiers, F-91191, Gif-sur-Yvette, France
| | - Olivier Pible
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, F-30200, Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, F-30200, Bagnols-sur-Cèze, France.
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18
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Mappa C, Pible O, Armengaud J, Alpha-Bazin B. Assessing the ratio of Bacillus spores and vegetative cells by shotgun proteomics. Environ Sci Pollut Res Int 2021; 28:25107-25115. [PMID: 30302730 DOI: 10.1007/s11356-018-3341-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 09/26/2018] [Indexed: 06/08/2023]
Abstract
Mass spectrometry for rapid identification of microorganisms is expanding over the last years because this approach is quick. This methodology provides a decisive interest to fight against bioterrorism as it is applicable whatever the pathogen to be considered and often allows subtyping which may be crucial for confirming a massive and widespread attack with biological agents. Here, we present a methodology based on next-generation proteomics and tandem mass spectrometry for discovering numerous protein biomarkers allowing the discrimination of spores and vegetative cells of Bacillus atrophaeus, a biowarfare simulant. We propose a global quantitative evaluation of the two groups of discriminant biomarkers based on their aggregated normalized spectral abundance factors.
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Affiliation(s)
- Charlotte Mappa
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, 30207, Bagnols sur Cèze, France
| | - Olivier Pible
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, 30207, Bagnols sur Cèze, France
| | - Jean Armengaud
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, 30207, Bagnols sur Cèze, France.
| | - Béatrice Alpha-Bazin
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, 30207, Bagnols sur Cèze, France
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19
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Grenga L, Gallais F, Pible O, Gaillard JC, Gouveia D, Batina H, Bazaline N, Ruat S, Culotta K, Miotello G, Debroas S, Roncato MA, Steinmetz G, Foissard C, Desplan A, Alpha-Bazin B, Almunia C, Gas F, Bellanger L, Armengaud J. Shotgun proteomics analysis of SARS-CoV-2-infected cells and how it can optimize whole viral particle antigen production for vaccines. Emerg Microbes Infect 2020; 9:1712-1721. [PMID: 32619390 PMCID: PMC7473198 DOI: 10.1080/22221751.2020.1791737] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/30/2020] [Indexed: 12/28/2022]
Abstract
Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) has resulted in a pandemic and is continuing to spread rapidly around the globe. No effective vaccine is currently available to prevent COVID-19, and intense efforts are being invested worldwide into vaccine development. In this context, all technology platforms must overcome several challenges resulting from the use of an incompletely characterized new virus. These include finding the right conditions for virus amplification for the development of vaccines based on inactivated or attenuated whole viral particles. Here, we describe a shotgun tandem mass spectrometry workflow, the data produced can be used to guide optimization of the conditions for viral amplification. In parallel, we analysed the changes occurring in the host cell proteome following SARS-CoV-2 infection to glean information on the biological processes modulated by the virus that could be further explored as potential drug targets to deal with the pandemic.
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Affiliation(s)
- Lucia Grenga
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Fabrice Gallais
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Jean-Charles Gaillard
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Duarte Gouveia
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Hélène Batina
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Niza Bazaline
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Sylvie Ruat
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Karen Culotta
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Guylaine Miotello
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Stéphanie Debroas
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Marie-Anne Roncato
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Gérard Steinmetz
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Charlotte Foissard
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Anne Desplan
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Béatrice Alpha-Bazin
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Christine Almunia
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Fabienne Gas
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Laurent Bellanger
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris Saclay, CEA, INRAE, SPIBagnols-sur-Cèze, France
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20
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Petit PCM, Pible O, Eesbeeck VV, Alban C, Steinmetz G, Mysara M, Monsieurs P, Armengaud J, Rivasseau C. Direct Meta-Analyses Reveal Unexpected Microbial Life in the Highly Radioactive Water of an Operating Nuclear Reactor Core. Microorganisms 2020; 8:E1857. [PMID: 33255667 PMCID: PMC7760952 DOI: 10.3390/microorganisms8121857] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/16/2020] [Accepted: 11/23/2020] [Indexed: 02/04/2023] Open
Abstract
The pools of nuclear reactor facilities constitute harsh environments for life, bathed with ionizing radiation, filled with demineralized water and containing toxic radioactive elements. The very few studies published to date have explored water pools used to store spent nuclear fuels. Due to access restrictions and strong handling constraints related to the high radioactivity level, nothing is presently known about life in water pools that directly cool nuclear cores. In this work, we investigated the microbial communities in the cooling pool of the French Osiris nuclear reactor using direct meta-omics approaches, namely, DNA metabarcoding and proteotyping based on 16S ribosomal RNA gene sequencing and on peptide analysis, respectively. We identified 25 genera in the highly radioactive core water supply during operation with radionuclide activity higher than 3 × 109 Bq/m3. The prevailing genera Variovorax and Sphingomonas at operation were supplanted by Methylobacterium, Asanoa, and Streptomyces during shutdown. Variovorax might use dihydrogen produced by water radiolysis as an energy source.
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Affiliation(s)
- Pauline C. M. Petit
- Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), CNRS, INRAE, Université Grenoble Alpes, F-38054 Grenoble, France; (P.C.M.P.); (C.A.)
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris-Saclay, F-30200 Bagnols-sur-Cèze, France; (O.P.); (G.S.); (J.A.)
| | - Valérie Van Eesbeeck
- Microbiology Unit, The Belgian Nuclear Research Centre (SCK•CEN), Boeretang 200, B-2400 Mol, Belgium; (V.V.E.); (M.M.); (P.M.)
| | - Claude Alban
- Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), CNRS, INRAE, Université Grenoble Alpes, F-38054 Grenoble, France; (P.C.M.P.); (C.A.)
| | - Gérard Steinmetz
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris-Saclay, F-30200 Bagnols-sur-Cèze, France; (O.P.); (G.S.); (J.A.)
| | - Mohamed Mysara
- Microbiology Unit, The Belgian Nuclear Research Centre (SCK•CEN), Boeretang 200, B-2400 Mol, Belgium; (V.V.E.); (M.M.); (P.M.)
| | - Pieter Monsieurs
- Microbiology Unit, The Belgian Nuclear Research Centre (SCK•CEN), Boeretang 200, B-2400 Mol, Belgium; (V.V.E.); (M.M.); (P.M.)
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris-Saclay, F-30200 Bagnols-sur-Cèze, France; (O.P.); (G.S.); (J.A.)
| | - Corinne Rivasseau
- Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), CNRS, INRAE, Université Grenoble Alpes, F-38054 Grenoble, France; (P.C.M.P.); (C.A.)
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21
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Gouveia D, Miotello G, Gallais F, Gaillard JC, Debroas S, Bellanger L, Lavigne JP, Sotto A, Grenga L, Pible O, Armengaud J. Proteotyping SARS-CoV-2 Virus from Nasopharyngeal Swabs: A Proof-of-Concept Focused on a 3 Min Mass Spectrometry Window. J Proteome Res 2020; 19:4407-4416. [PMID: 32697082 PMCID: PMC7640971 DOI: 10.1021/acs.jproteome.0c00535] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Indexed: 12/13/2022]
Abstract
Rapid but yet sensitive, specific, and high-throughput detection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in clinical samples is key to diagnose infected people and to better control the spread of the virus. Alternative methodologies to PCR and immunodiagnostics that would not require specific reagents are worthy to investigate not only for fighting the COVID-19 pandemic but also to detect other emergent pathogenic threats. Here, we propose the use of tandem mass spectrometry to detect SARS-CoV-2 marker peptides in nasopharyngeal swabs. We documented that the signal from the microbiota present in such samples is low and can be overlooked when interpreting shotgun proteomic data acquired on a restricted window of the peptidome landscape. In this proof-of-concept study, simili nasopharyngeal swabs spiked with different quantities of purified SARS-CoV-2 viral material were used to develop a nanoLC-MS/MS acquisition method, which was then successfully applied on COVID-19 clinical samples. We argue that peptides ADETQALPQR and GFYAQGSR from the nucleocapsid protein are of utmost interest as their signal is intense and their elution can be obtained within a 3 min window in the tested conditions. These results pave the way for the development of time-efficient viral diagnostic tests based on mass spectrometry.
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Affiliation(s)
- Duarte Gouveia
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Guylaine Miotello
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Fabrice Gallais
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Jean-Charles Gaillard
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Stéphanie Debroas
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Laurent Bellanger
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Jean-Philippe Lavigne
- U1047,
Institut National de la Santé et de la Recherche Médicale, Université Montpellier, Montpellier, France
- VBMI,
INSERM U1047, Université de Montpellier, Service de Microbiologie
et Hygiène Hospitalière, CHU
Nîmes, Nîmes, France
| | - Albert Sotto
- VBMI,
INSERM U1047, Université de Montpellier, Service des Maladies
Infectieuses et Tropicales, CHU Nîmes, Nîmes, France
| | - Lucia Grenga
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Olivier Pible
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
| | - Jean Armengaud
- INRAE,
Département Médicaments et Technologies pour la Santé
(DMTS), SPI, Université Paris Saclay,
CEA, 30200 Bagnols-sur-Cèze, France
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22
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Hayoun K, Pible O, Petit P, Allain F, Jouffret V, Culotta K, Rivasseau C, Armengaud J, Alpha-Bazin B. Proteotyping Environmental Microorganisms by Phylopeptidomics: Case Study Screening Water from a Radioactive Material Storage Pool. Microorganisms 2020; 8:E1525. [PMID: 33020444 PMCID: PMC7599590 DOI: 10.3390/microorganisms8101525] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 09/30/2020] [Accepted: 10/01/2020] [Indexed: 02/07/2023] Open
Abstract
The microbial diversity encompassed by the environmental biosphere is largely unexplored, although it represents an extensive source of new knowledge and potentially of novel enzymatic catalysts for biotechnological applications. To determine the taxonomy of microorganisms, proteotyping by tandem mass spectrometry has proved its efficiency. Its latest extension, phylopeptidomics, adds a biomass quantitation perspective for mixtures of microorganisms. Here, we present an application of phylopeptidomics to rapidly and sensitively screen microorganisms sampled from an industrial environment, i.e., a pool where radioactive material is stored. The power of this methodology is demonstrated through the identification of both prokaryotes and eukaryotes, whether as pure isolates or present as mixtures or consortia. In this study, we established accurate taxonomical identification of environmental prokaryotes belonging to the Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria phyla, as well as eukaryotes from the Ascomycota phylum. The results presented illustrate the potential of tandem mass spectrometry proteotyping, in particular phylopeptidomics, to screen for and rapidly identify microorganisms.
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Affiliation(s)
- Karim Hayoun
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris Saclay, F-30200 Bagnols-sur-Cèze, France; (K.H.); (O.P.); (F.A.); (V.J.); (K.C.); (B.A.-B.)
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Université de Montpellier, F-30207 Bagnols-sur-Cèze, France
| | - Olivier Pible
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris Saclay, F-30200 Bagnols-sur-Cèze, France; (K.H.); (O.P.); (F.A.); (V.J.); (K.C.); (B.A.-B.)
| | - Pauline Petit
- CEA, CNRS, INRA, Université Grenoble Alpes, Institut de Biosciences et Biotechnologies de Grenoble, UMR5168, F-38000 Grenoble, France;
| | - François Allain
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris Saclay, F-30200 Bagnols-sur-Cèze, France; (K.H.); (O.P.); (F.A.); (V.J.); (K.C.); (B.A.-B.)
| | - Virginie Jouffret
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris Saclay, F-30200 Bagnols-sur-Cèze, France; (K.H.); (O.P.); (F.A.); (V.J.); (K.C.); (B.A.-B.)
| | - Karen Culotta
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris Saclay, F-30200 Bagnols-sur-Cèze, France; (K.H.); (O.P.); (F.A.); (V.J.); (K.C.); (B.A.-B.)
| | - Corinne Rivasseau
- CEA-Saclay, DRF/Joliot/SB2SM/BBC, I2BC, 91191 Gif-sur-Yvette, France;
| | - Jean Armengaud
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris Saclay, F-30200 Bagnols-sur-Cèze, France; (K.H.); (O.P.); (F.A.); (V.J.); (K.C.); (B.A.-B.)
| | - Béatrice Alpha-Bazin
- Département Médicaments et Technologies pour la Santé (DMTS), CEA, INRAE, SPI, Université Paris Saclay, F-30200 Bagnols-sur-Cèze, France; (K.H.); (O.P.); (F.A.); (V.J.); (K.C.); (B.A.-B.)
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Gouveia D, Grenga L, Pible O, Armengaud J. Quick microbial molecular phenotyping by differential shotgun proteomics. Environ Microbiol 2020; 22:2996-3004. [PMID: 32133743 PMCID: PMC7496289 DOI: 10.1111/1462-2920.14975] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 02/29/2020] [Accepted: 03/02/2020] [Indexed: 12/12/2022]
Abstract
Differential shotgun proteomics identifies proteins that discriminate between sets of samples based on differences in abundance. This methodology can be easily applied to study (i) specific microorganisms subjected to a variety of growth or stress conditions or (ii) different microorganisms sampled in the same condition. In microbiology, this comparison is particularly successful because differing microorganism phenotypes are explained by clearly altered abundances of key protein players. The extensive description and quantification of proteins from any given microorganism can be routinely obtained for several conditions within a few days by tandem mass spectrometry. Such protein-centred microbial molecular phenotyping is rich in information. However, well-designed experimental strategies, carefully parameterized analytical pipelines, and sound statistical approaches must be applied if the shotgun proteomic data are to be correctly interpreted. This minireview describes these key items for a quick molecular phenotyping based on label-free quantification shotgun proteomics.
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Affiliation(s)
- Duarte Gouveia
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D)Service de Pharmacologie et Immunoanalyse (SPI)CEA, INRAE, F‐30207 Bagnols‐sur‐CèzeFrance
| | - Lucia Grenga
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D)Service de Pharmacologie et Immunoanalyse (SPI)CEA, INRAE, F‐30207 Bagnols‐sur‐CèzeFrance
| | - Olivier Pible
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D)Service de Pharmacologie et Immunoanalyse (SPI)CEA, INRAE, F‐30207 Bagnols‐sur‐CèzeFrance
| | - Jean Armengaud
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D)Service de Pharmacologie et Immunoanalyse (SPI)CEA, INRAE, F‐30207 Bagnols‐sur‐CèzeFrance
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Gouveia D, Grenga L, Gaillard J, Gallais F, Bellanger L, Pible O, Armengaud J. Front Cover: Shortlisting SARS‐CoV‐2 Peptides for Targeted Studies from Experimental Data‐Dependent Acquisition Tandem Mass Spectrometry Data. Proteomics 2020. [DOI: 10.1002/pmic.202070111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Gouveia D, Grenga L, Gaillard JC, Gallais F, Bellanger L, Pible O, Armengaud J. Shortlisting SARS-CoV-2 Peptides for Targeted Studies from Experimental Data-Dependent Acquisition Tandem Mass Spectrometry Data. Proteomics 2020; 20:e2000107. [PMID: 32462744 PMCID: PMC7267140 DOI: 10.1002/pmic.202000107] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 05/12/2020] [Indexed: 01/16/2023]
Abstract
Detection of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is a crucial tool for fighting the COVID‐19 pandemic. This dataset brief presents the exploration of a shotgun proteomics dataset acquired on SARS‐CoV‐2 infected Vero cells. Proteins from inactivated virus samples were extracted, digested with trypsin, and the resulting peptides were identified by data‐dependent acquisition tandem mass spectrometry. The 101 peptides reporting for six viral proteins were specifically analyzed in terms of their analytical characteristics, species specificity and conservation, and their proneness to structural modifications. Based on these results, a shortlist of 14 peptides from the N, S, and M main structural proteins that could be used for targeted mass‐spectrometry method development and diagnostic of the new SARS‐CoV‐2 is proposed and the best candidates are commented.
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Affiliation(s)
- Duarte Gouveia
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France
| | - Lucia Grenga
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France
| | - Jean-Charles Gaillard
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France
| | - Fabrice Gallais
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France
| | - Laurent Bellanger
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France
| | - Olivier Pible
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France
| | - Jean Armengaud
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Bagnols-sur-Cèze, 30200, France
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Cogne Y, Gouveia D, Chaumot A, Degli-Esposti D, Geffard O, Pible O, Almunia C, Armengaud J. Proteogenomics-Guided Evaluation of RNA-Seq Assembly and Protein Database Construction for Emergent Model Organisms. Proteomics 2020; 20:e1900261. [PMID: 32249536 DOI: 10.1002/pmic.201900261] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 03/24/2020] [Indexed: 11/10/2022]
Abstract
Proteogenomics is gaining momentum as, today, genomics, transcriptomics, and proteomics can be readily performed on any new species. This approach allows key alterations to molecular pathways to be identified when comparing conditions. For animals and plants, RNA-seq-informed proteomics is the most popular means of interpreting tandem mass spectrometry spectra acquired for species for which the genome has not yet been sequenced. It relies on high-performance de novo RNA-seq assembly and optimized translation strategies. Here, several pre-treatments for Illumina RNA-seq reads before assembly are explored to translate the resulting contigs into useful polypeptide sequences. Experimental transcriptomics and proteomics datasets acquired for individual Gammarus fossarum freshwater crustaceans are used, the most relevant procedure is defined by the ratio of MS/MS spectra assigned to peptide sequences. Removing reads with a mean quality score of less than 17-which represents a single probable nucleotide error on 150-bp reads-prior to assembly, increases the proteomics outcome. The best translation using Transdecoder is achieved with a minimal open reading frame length of 50 amino acids and systematic selection of ORFs longer than 900 nucleotides. Using these parameters, transcriptome assembly and translation informed by proteomics pave the way to further improvements in proteogenomics.
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Affiliation(s)
- Yannick Cogne
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SPI, 30200, Bagnols-sur-Cèze, France
| | - Duarte Gouveia
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SPI, 30200, Bagnols-sur-Cèze, France
| | - Arnaud Chaumot
- INRAE, UR RiverLY Laboratoire d'écotoxicologie, Centre de Lyon-Villeurbanne, Villeurbanne, F-69625, France
| | - Davide Degli-Esposti
- INRAE, UR RiverLY Laboratoire d'écotoxicologie, Centre de Lyon-Villeurbanne, Villeurbanne, F-69625, France
| | - Olivier Geffard
- INRAE, UR RiverLY Laboratoire d'écotoxicologie, Centre de Lyon-Villeurbanne, Villeurbanne, F-69625, France
| | - Olivier Pible
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SPI, 30200, Bagnols-sur-Cèze, France
| | - Christine Almunia
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SPI, 30200, Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Université Paris Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé, SPI, 30200, Bagnols-sur-Cèze, France
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Pible O, Allain F, Jouffret V, Culotta K, Miotello G, Armengaud J. Estimating relative biomasses of organisms in microbiota using "phylopeptidomics". Microbiome 2020; 8:30. [PMID: 32143687 PMCID: PMC7060547 DOI: 10.1186/s40168-020-00797-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/05/2020] [Indexed: 05/23/2023]
Abstract
BACKGROUND There is an important need for the development of fast and robust methods to quantify the diversity and temporal dynamics of microbial communities in complex environmental samples. Because tandem mass spectrometry allows rapid inspection of protein content, metaproteomics is increasingly used for the phenotypic analysis of microbiota across many fields, including biotechnology, environmental ecology, and medicine. RESULTS Here, we present a new method for identifying the biomass contribution of any given organism based on a signature describing the number of peptide sequences shared with all other organisms, calculated by mathematical modeling and phylogenetic relationships. This so-called "phylopeptidomics" principle allows for the calculation of the relative ratios of peptide-specified taxa by the linear combination of such signatures applied to an experimental metaproteomic dataset. We illustrate its efficiency using artificial mixtures of two closely related pathogens of clinical interest, and with more complex microbiota models. CONCLUSIONS This approach paves the way to a new vision of taxonomic changes and accurate label-free quantitative metaproteomics for fine-tuned functional characterization. Video abstract.
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Affiliation(s)
- Olivier Pible
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRAE, F-30207, Bagnols-sur-Cèze, France
| | - François Allain
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRAE, F-30207, Bagnols-sur-Cèze, France
| | - Virginie Jouffret
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRAE, F-30207, Bagnols-sur-Cèze, France
| | - Karen Culotta
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRAE, F-30207, Bagnols-sur-Cèze, France
| | - Guylaine Miotello
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRAE, F-30207, Bagnols-sur-Cèze, France
| | - Jean Armengaud
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRAE, F-30207, Bagnols-sur-Cèze, France.
- Laboratory "Innovative technologies for Detection and Diagnostics", DRF-Li2D, CEA-Marcoule, BP 17171, F-30200, Bagnols-sur-Cèze, France.
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Gouveia D, Cogne Y, Gaillard JC, Almunia C, Pible O, François A, Degli-Esposti D, Geffard O, Chaumot A, Armengaud J. Shotgun proteomics datasets acquired on Gammarus pulex animals sampled from the wild. Data Brief 2019; 27:104650. [PMID: 31687451 PMCID: PMC6820120 DOI: 10.1016/j.dib.2019.104650] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 09/27/2019] [Accepted: 10/03/2019] [Indexed: 11/10/2022] Open
Abstract
This data article associated with the manuscript “Comparative proteomics in the wild: accounting for intrapopulation variability improves describing proteome response in a Gammarus pulex field population exposed to cadmium” refers to the shotgun proteomics analysis performed on 40 Gammarus pulex animals sampled from the wild. Proteins were extracted, digested with trypsin, and the resulting peptides were identified by tandem mass spectrometry. Here, we present the list of proteins from males and the list of proteins from females that are differentially detected between the Brameloup and the Pollon populations. Data are available via ProteomeXchange with identifiers PXD013656 and PXD013712, respectively.
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Affiliation(s)
- Duarte Gouveia
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207 Bagnols-sur-Cèze, France
| | - Yannick Cogne
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207 Bagnols-sur-Cèze, France
| | - Jean-Charles Gaillard
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207 Bagnols-sur-Cèze, France
| | - Christine Almunia
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207 Bagnols-sur-Cèze, France
| | - Olivier Pible
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207 Bagnols-sur-Cèze, France
| | - Adeline François
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625 Villeurbanne, France
| | - Davide Degli-Esposti
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625 Villeurbanne, France
| | - Olivier Geffard
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625 Villeurbanne, France
| | - Arnaud Chaumot
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625 Villeurbanne, France
| | - Jean Armengaud
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207 Bagnols-sur-Cèze, France
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29
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Cogne Y, Degli-Esposti D, Pible O, Gouveia D, François A, Bouchez O, Eché C, Ford A, Geffard O, Armengaud J, Chaumot A, Almunia C. De novo transcriptomes of 14 gammarid individuals for proteogenomic analysis of seven taxonomic groups. Sci Data 2019; 6:184. [PMID: 31562330 PMCID: PMC6764967 DOI: 10.1038/s41597-019-0192-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 08/13/2019] [Indexed: 11/17/2022] Open
Abstract
Gammarids are amphipods found worldwide distributed in fresh and marine waters. They play an important role in aquatic ecosystems and are well established sentinel species in ecotoxicology. In this study, we sequenced the transcriptomes of a male individual and a female individual for seven different taxonomic groups belonging to the two genera Gammarus and Echinogammarus: Gammarus fossarum A, G. fossarum B, G. fossarum C, Gammarus wautieri, Gammarus pulex, Echinogammarus berilloni, and Echinogammarus marinus. These taxa were chosen to explore the molecular diversity of transcribed genes of genotyped individuals from these groups. Transcriptomes were de novo assembled and annotated. High-quality assembly was confirmed by BUSCO comparison against the Arthropod dataset. The 14 RNA-Seq-derived protein sequence databases proposed here will be a significant resource for proteogenomics studies of these ecotoxicologically relevant non-model organisms. These transcriptomes represent reliable reference sequences for whole-transcriptome and proteome studies on other gammarids, for primer design to clone specific genes or monitor their specific expression, and for analyses of molecular differences between gammarid species. Measurement(s) | transcription profiling assay | Technology Type(s) | RNA sequencing | Factor Type(s) | sex • species | Sample Characteristic - Organism | Gammarus • Echinogammarus | Sample Characteristic - Environment | habitat |
Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9777905
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Affiliation(s)
- Yannick Cogne
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
| | - Davide Degli-Esposti
- Irstea, UR MALY Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
| | - Olivier Pible
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
| | - Duarte Gouveia
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
| | - Adeline François
- Irstea, UR MALY Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
| | - Olivier Bouchez
- GeT-PlaGe, Genotoul, INRA Auzeville, F-31320, Castanet-Tolosan, France
| | - Camille Eché
- GeT-PlaGe, Genotoul, INRA Auzeville, F-31320, Castanet-Tolosan, France
| | - Alex Ford
- School of Biological Sciences, Institute of Marine Sciences Laboratories, P04 9LY, Portsmouth, United Kingdom
| | - Olivier Geffard
- Irstea, UR MALY Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
| | - Jean Armengaud
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France.
| | - Arnaud Chaumot
- Irstea, UR MALY Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
| | - Christine Almunia
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
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Hayoun K, Gouveia D, Grenga L, Pible O, Armengaud J, Alpha-Bazin B. Evaluation of Sample Preparation Methods for Fast Proteotyping of Microorganisms by Tandem Mass Spectrometry. Front Microbiol 2019; 10:1985. [PMID: 31555227 PMCID: PMC6742703 DOI: 10.3389/fmicb.2019.01985] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 08/13/2019] [Indexed: 12/13/2022] Open
Abstract
Tandem mass spectrometry-based proteotyping allows characterizing microorganisms in terms of taxonomy and is becoming an important tool for investigating microbial diversity from several ecosystems. Fast and automatable sample preparation for obtaining peptide pools amenable to tandem mass spectrometry is necessary for enabling proteotyping as a high-throughput method. First, the protocol to increase the yield of lysis of several representative bacterial and eukaryotic microorganisms was optimized by using a long and drastic bead-beating setting with 0.1 mm silica beads, 0.1 and 0.5 mm glass beads, in presence of detergents. Then, three different methods to obtain greater digestion yield from these extracts were tested and optimized for improve efficiency and reduce application time: denaturing electrophoresis of proteins and in-gel proteolysis, suspension-trapping filter-based approach (S-Trap) and, solid-phase-enhanced sample preparation named SP3. The latter method outperforms the other two in terms of speed and delivers also more peptides and proteins than with the in-gel proteolysis (2.2 fold for both) and S-trap approaches (1.3 and 1.2 fold, respectively). Thus, SP3 directly improves tandem mass spectrometry proteotyping.
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Affiliation(s)
| | | | | | | | - Jean Armengaud
- Laboratoire Innovations Technologiques pour la Détection et le Diagnostic, Service de Pharmacologie et Immunoanalyse, CEA, INRA, Bagnols-sur-Cèze, France
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Grenga L, Pible O, Armengaud J. Pathogen proteotyping: A rapidly developing application of mass spectrometry to address clinical concerns. Clinical Mass Spectrometry 2019; 14 Pt A:9-17. [DOI: 10.1016/j.clinms.2019.04.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 04/25/2019] [Accepted: 04/27/2019] [Indexed: 12/13/2022]
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Cogne Y, Almunia C, Gouveia D, Pible O, François A, Degli-Esposti D, Geffard O, Armengaud J, Chaumot A. Comparative proteomics in the wild: Accounting for intrapopulation variability improves describing proteome response in a Gammarus pulex field population exposed to cadmium. Aquat Toxicol 2019; 214:105244. [PMID: 31352074 DOI: 10.1016/j.aquatox.2019.105244] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 05/14/2019] [Accepted: 07/09/2019] [Indexed: 06/10/2023]
Abstract
High-throughput proteomics can be performed on animal sentinels for discovering key molecular biomarkers signing the physiological response and adaptation of organisms. Ecotoxicoproteomics is today amenable by means of proteogenomics to small arthropods such as Gammarids which are well known sentinels of aquatic environments. Here, we analysed two regional Gammarus pulex populations to characterize the potential proteome divergence induced in one site by natural bioavailable mono-metallic contamination (cadmium) compared to a non-contaminated site. Two RNAseq-derived protein sequence databases were established previously on male and female individuals sampled from the reference site. Here, individual proteomes were acquired on 10 male and 10 female paired organisms sampled from each site. Proteins involved in protein lipidation, carbohydrate metabolism, proteolysis, innate immunity, oxidative stress response and lipid transport were found more abundant in animals exposed to cadmium, while hemocyanins were found in lower abundance. The intrapopulation proteome variability of long-term exposed G. pulex was inflated relatively to the non-contaminated population. These results show that, while remaining a challenge for such organisms with not yet sequenced genomes, taking into account intrapopulation variability is important to better define the molecular players induced by toxic stress in a comparative field proteomics approach.
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Affiliation(s)
- Yannick Cogne
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
| | - Christine Almunia
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
| | - Duarte Gouveia
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
| | - Olivier Pible
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France
| | - Adeline François
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
| | - Davide Degli-Esposti
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
| | - Olivier Geffard
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
| | - Jean Armengaud
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D), Service de Pharmacologie et Immunoanalyse (SPI), CEA, INRA, F-30207, Bagnols-sur-Cèze, France.
| | - Arnaud Chaumot
- Irstea, UR RiverLy, Laboratoire d'écotoxicologie, centre de Lyon-Villeurbanne, F-69625, Villeurbanne, France
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Gouveia D, Almunia C, Cogne Y, Pible O, Degli-Esposti D, Salvador A, Cristobal S, Sheehan D, Chaumot A, Geffard O, Armengaud J. Ecotoxicoproteomics: A decade of progress in our understanding of anthropogenic impact on the environment. J Proteomics 2019; 198:66-77. [DOI: 10.1016/j.jprot.2018.12.001] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 11/19/2018] [Accepted: 12/05/2018] [Indexed: 12/18/2022]
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Thiaucourt F, Pible O, Miotello G, Nwankpa N, Armengaud J. Improving Quality Control of Contagious Caprine Pleuropneumonia Vaccine with Tandem Mass Spectrometry. Proteomics 2018; 18:e1800088. [PMID: 29911326 DOI: 10.1002/pmic.201800088] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 05/16/2018] [Indexed: 01/20/2023]
Abstract
Vaccines to protect livestock against contagious caprine pleuropneumonia (CCPP) consist of inactivated, adjuvanted antigens. Quality control of these vaccines is challenging as total protein quantification provides no indication of protein identity or purity, and culture is not an option. Here, a tandem mass spectrometry approach is used to identify the mycoplasma antigen contained in reference samples and in commercial CCPP vaccines. By the same approach, the relative amounts of mycoplasma antigen and residual proteins originating from the production medium are determined. Mass spectrometry allows easy and rapid identification of the peptides present in the vaccine samples. Alongside the most probable mycoplasma species effectively present in the vaccines, a very high proportion of peptides from medium constituents are detected in the commercial vaccines tested.
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Affiliation(s)
- François Thiaucourt
- Agricultural Resesarch Center for Intemational Development(CIRAD) CIRAD, UMR ASTRE, F-34398 Montpellier, France ASTRE, CIRAD, INRA, Univ Montpellier, Montpellier, France
| | - Olivier Pible
- Laboratoire Innovations Technologiques pour la détection et le diagnostic (Li2D), Service de Pharmacologie et Immunoanalyses (SPI), CEA INRA, F-30207 Bagnols sur Cèze, France
| | - Guylaine Miotello
- Laboratoire Innovations Technologiques pour la détection et le diagnostic (Li2D), Service de Pharmacologie et Immunoanalyses (SPI), CEA INRA, F-30207 Bagnols sur Cèze, France
| | - Nick Nwankpa
- Pan African Veterinary Vaccine Center, African Union Commission, 1746 Debre Zeit, Ethiopia
| | - Jean Armengaud
- Laboratoire Innovations Technologiques pour la détection et le diagnostic (Li2D), Service de Pharmacologie et Immunoanalyses (SPI), CEA INRA, F-30207 Bagnols sur Cèze, France
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Armengaud J, Pible O, Gaillard JC, Cian A, Gantois N, Tan KSW, Chabé M, Viscogliosi E. Proteogenomic Insights into the Intestinal Parasite Blastocystis
sp. Subtype 4 Isolate WR1. Proteomics 2017; 17. [DOI: 10.1002/pmic.201700211] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 08/09/2017] [Indexed: 12/15/2022]
Affiliation(s)
- Jean Armengaud
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D); Service de Pharmacologie et Immunoanalyse (SPI); CEA, INRA; Gif-Sur-Yvette France
| | - Olivier Pible
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D); Service de Pharmacologie et Immunoanalyse (SPI); CEA, INRA; Gif-Sur-Yvette France
| | - Jean-Charles Gaillard
- Laboratoire Innovations technologiques pour la Détection et le Diagnostic (Li2D); Service de Pharmacologie et Immunoanalyse (SPI); CEA, INRA; Gif-Sur-Yvette France
| | - Amandine Cian
- Université de Lille; CNRS, Inserm, CHU Lille; Institut Pasteur de Lille; U1019-UMR 8204-CIIL-Centre d'Infection et d'Immunité de Lille; 1 rue du Professeur Calmette, Lille, France
| | - Nausicaa Gantois
- Université de Lille; CNRS, Inserm, CHU Lille; Institut Pasteur de Lille; U1019-UMR 8204-CIIL-Centre d'Infection et d'Immunité de Lille; 1 rue du Professeur Calmette, Lille, France
| | - Kevin S. W. Tan
- Laboratory of Molecular and Cellular Parasitology; Department of Microbiology and Immunology; Yong Loo Lin School of Medicine; National University of Singapore; Singapore Singapore
| | - Magali Chabé
- Université de Lille; CNRS, Inserm, CHU Lille; Institut Pasteur de Lille; U1019-UMR 8204-CIIL-Centre d'Infection et d'Immunité de Lille; 1 rue du Professeur Calmette, Lille, France
| | - Eric Viscogliosi
- Université de Lille; CNRS, Inserm, CHU Lille; Institut Pasteur de Lille; U1019-UMR 8204-CIIL-Centre d'Infection et d'Immunité de Lille; 1 rue du Professeur Calmette, Lille, France
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Trapp J, Gaillard JC, Chaumot A, Geffard O, Pible O, Armengaud J. Ovary and embryo proteogenomic dataset revealing diversity of vitellogenins in the crustacean Gammarus fossarum. Data Brief 2016; 8:1259-62. [PMID: 27547807 PMCID: PMC4983104 DOI: 10.1016/j.dib.2016.07.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 07/18/2016] [Accepted: 07/21/2016] [Indexed: 11/16/2022] Open
Abstract
Ovaries and embryos from sexually mature Gammarus fossarum were sampled at different stages of the reproductive cycle. The soluble proteome was extracted for five biological replicates and samples were subjected to trypsin digestion. The resulting peptides were analyzed by high resolution tandem mass spectrometry with a LTQ-Orbitrap XL instrument. The MS/MS spectra were assigned with a previously described RNAseq-derived G. fossarum database. The proteins highlighted by proteogenomics were monitored and their abundance kinetics over the different stages revealed a large panel of vitellogenins. Criteria were i) accumulation during oogenesis, ii) decrease during embryogenesis, iii) classified as female-specific, and iv) sequence similarity and phylogenetic analysis. The data accompanying the manuscript describing the database searches and comparative analysis (“High-throughput proteome dynamics for discovery of key proteins in sentinel species: unsuspected vitellogenins diversity in the crustacean Gammarus fossarum” by Trapp et al. [1]) have been deposited to the ProteomeXchange via the PRIDE repository with identifiers PRIDE: PXD001002.
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Affiliation(s)
- Judith Trapp
- Irstea, Unité de Recherche MALY, Laboratoire d'écotoxicologie, CS70077, F-69626 Villeurbanne, France; CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Jean-Charles Gaillard
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Arnaud Chaumot
- Irstea, Unité de Recherche MALY, Laboratoire d'écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Olivier Geffard
- Irstea, Unité de Recherche MALY, Laboratoire d'écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Olivier Pible
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Jean Armengaud
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
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Locard-Paulet M, Pible O, Gonzalez de Peredo A, Alpha-Bazin B, Almunia C, Burlet-Schiltz O, Armengaud J. Clinical implications of recent advances in proteogenomics. Expert Rev Proteomics 2016; 13:185-99. [DOI: 10.1586/14789450.2016.1132169] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Trapp J, Almunia C, Gaillard JC, Pible O, Chaumot A, Geffard O, Armengaud J. Data for comparative proteomics of ovaries from five non-model, crustacean amphipods. Data Brief 2015; 5:1-6. [PMID: 26380837 PMCID: PMC4556749 DOI: 10.1016/j.dib.2015.07.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 07/23/2015] [Accepted: 07/23/2015] [Indexed: 10/25/2022] Open
Abstract
Ovaries were taken from five sexually mature amphipods: Gammarus fossarum, Gammarus pulex, Gammarus roeseli, Hyallela azteca and Parhyale hawaiensis. The soluble proteome extracted from individual pair of ovaries from five biological replicates was trypsin digested and the resulting peptides were analyzed by high resolution tandem mass spectrometry. The spectra were assigned with four protein sequence databases with different specificities: a RNAseq-derived G. fossarum database; a RNAseq-derived P. hawaiensis database; both originating from ovaries transcriptome; the Daphnia pulex database derived from whole-genome sequencing and the NCBInr database. The best interpretation was obtained for most animals with the specific RNA-seq protein database previously established by means of RNAseq carried out on G. fossarum. Proteins identified in the five amphipod species allow defining the core-proteome of female reproductive tissues of the Senticaudata suborder. The data accompanying the manuscript describing the database searches and comparative analysis Trapp et al., 2015 [1] have been deposited to the ProteomeXchange with identifiers PXD002253 (G. fossarum), PXD002254 (G. pulex), PXD002255 (G. roeseli), PXD002256 (H. Azteca), and PXD002257 (P. hawaiensis).
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Affiliation(s)
- Judith Trapp
- Irstea, Unité de Recherche MALY, Laboratoire d׳écotoxicologie, CS70077, F-69626 Villeurbanne, France ; CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Christine Almunia
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Jean-Charles Gaillard
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Olivier Pible
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Arnaud Chaumot
- Irstea, Unité de Recherche MALY, Laboratoire d׳écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Olivier Geffard
- Irstea, Unité de Recherche MALY, Laboratoire d׳écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Jean Armengaud
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
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Pible O, Armengaud J. Improving the quality of genome, protein sequence, and taxonomy databases: A prerequisite for microbiome meta-omics 2.0. Proteomics 2015; 15:3418-23. [DOI: 10.1002/pmic.201500104] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Revised: 04/17/2015] [Accepted: 05/30/2015] [Indexed: 01/27/2023]
Affiliation(s)
- Olivier Pible
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D; Laboratory “Innovative technologies for Detection and Diagnostics”; Bagnols-sur-Cèze France
| | - Jean Armengaud
- CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D; Laboratory “Innovative technologies for Detection and Diagnostics”; Bagnols-sur-Cèze France
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Trapp J, Almunia C, Gaillard JC, Pible O, Chaumot A, Geffard O, Armengaud J. Proteogenomic insights into the core-proteome of female reproductive tissues from crustacean amphipods. J Proteomics 2015; 135:51-61. [PMID: 26170043 DOI: 10.1016/j.jprot.2015.06.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 06/11/2015] [Accepted: 06/29/2015] [Indexed: 11/27/2022]
Abstract
As a result of the poor genome sequence coverage of crustacean amphipods, characterization of their evolutionary biology relies mostly on phenotypic traits. Here, we analyzed the proteome of ovaries from five amphipods, all from the Senticaudata suborder, with the objective to obtain insights into the core-proteome of female reproductive systems. These amphipods were from either the Gammarida infraorder: Gammarus fossarum, Gammarus pulex, Gammarus roeseli, or the Talitrida infraorder: Parhyale hawaiensis and Hyalella azteca. Ovaries from animals sampled at the end of their reproductive cycle were dissected. Their whole protein contents were extracted and their proteomes were recorded by high-throughput nanoLC-MS/MS with a high-resolution mass spectrometer. We interpreted tandem mass spectrometry data with the protein sequence resource from G. fossarum and P. hawaiensis, both recently established by RNA sequencing. The large molecular biodiversity within amphipods was assessed by the ratio of MS/MS spectra assigned for each sample, which tends to diverge rapidly along the taxonomic level considered. The core-proteome was defined as the proteins conserved along all samples, thus detectable by the homology-based proteomic assignment procedure. This specific subproteome may be further enriched in the future with the analysis of new species and update of the protein sequence resource.
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Affiliation(s)
- Judith Trapp
- Irstea, Unité de Recherche MALY, Laboratoire d'écotoxicologie, CS70077, F-69626 Villeurbanne, France; CEA-Marcoule, DSV/IBICTEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Christine Almunia
- CEA-Marcoule, DSV/IBICTEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Jean-Charles Gaillard
- CEA-Marcoule, DSV/IBICTEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Olivier Pible
- CEA-Marcoule, DSV/IBICTEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France
| | - Arnaud Chaumot
- Irstea, Unité de Recherche MALY, Laboratoire d'écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Olivier Geffard
- Irstea, Unité de Recherche MALY, Laboratoire d'écotoxicologie, CS70077, F-69626 Villeurbanne, France.
| | - Jean Armengaud
- CEA-Marcoule, DSV/IBICTEC-S/SPI/Li2D, Laboratory "Innovative Technologies for Detection and Diagnostic", BP 17171, F-30200 Bagnols-sur-Cèze, France.
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Trapp J, Armengaud J, Pible O, Gaillard JC, Abbaci K, Habtoul Y, Chaumot A, Geffard O. Proteomic Investigation of Male Gammarus fossarum, a Freshwater Crustacean, in Response to Endocrine Disruptors. J Proteome Res 2014; 14:292-303. [DOI: 10.1021/pr500984z] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Judith Trapp
- Irstea, Unité
de Recherche MALY, Laboratoire d’écotoxicologie, CS70077, F-69626 Villeurbanne, France
- CEA, DSV, IBEB,
Lab Biochim System Perturb, F-30207 Bagnols-sur-Cèze, France
| | - Jean Armengaud
- CEA, DSV, IBEB,
Lab Biochim System Perturb, F-30207 Bagnols-sur-Cèze, France
| | - Olivier Pible
- CEA, DSV, IBEB,
Lab Biochim System Perturb, F-30207 Bagnols-sur-Cèze, France
| | | | - Khedidja Abbaci
- Irstea, Unité
de Recherche MALY, Laboratoire d’écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Yassine Habtoul
- Irstea, Unité
de Recherche MALY, Laboratoire d’écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Arnaud Chaumot
- Irstea, Unité
de Recherche MALY, Laboratoire d’écotoxicologie, CS70077, F-69626 Villeurbanne, France
| | - Olivier Geffard
- Irstea, Unité
de Recherche MALY, Laboratoire d’écotoxicologie, CS70077, F-69626 Villeurbanne, France
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Pible O, Hartmann EM, Imbert G, Armengaud J. The importance of recognizing and reporting sequence database contamination for proteomics. EuPA Open Proteomics 2014. [DOI: 10.1016/j.euprot.2014.04.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Hartmann EM, Durighello E, Pible O, Nogales B, Beltrametti F, Bosch R, Christie-Oleza JA, Armengaud J. Proteomics meets blue biotechnology: a wealth of novelties and opportunities. Mar Genomics 2014; 17:35-42. [PMID: 24780860 DOI: 10.1016/j.margen.2014.04.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Revised: 04/11/2014] [Accepted: 04/12/2014] [Indexed: 10/25/2022]
Abstract
Blue biotechnology, in which aquatic environments provide the inspiration for various products such as food additives, aquaculture, biosensors, green chemistry, bioenergy, and pharmaceuticals, holds enormous promise. Large-scale efforts to sequence aquatic genomes and metagenomes, as well as campaigns to isolate new organisms and culture-based screenings, are helping to push the boundaries of known organisms. Mass spectrometry-based proteomics can complement 16S gene sequencing in the effort to discover new organisms of potential relevance to blue biotechnology by facilitating the rapid screening of microbial isolates and by providing in depth profiles of the proteomes and metaproteomes of marine organisms, both model cultivable isolates and, more recently, exotic non-cultivable species and communities. Proteomics has already contributed to blue biotechnology by identifying aquatic proteins with potential applications to food fermentation, the textile industry, and biomedical drug development. In this review, we discuss historical developments in blue biotechnology, the current limitations to the known marine biosphere, and the ways in which mass spectrometry can expand that knowledge. We further speculate about directions that research in blue biotechnology will take given current and near-future technological advancements in mass spectrometry.
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Affiliation(s)
- Erica M Hartmann
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France
| | - Emie Durighello
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France
| | - Olivier Pible
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France
| | - Balbina Nogales
- Microbiologia, Departament de Biologia, Universitat de les Illes Balears, Palma de Mallorca, Spain
| | | | - Rafael Bosch
- Microbiologia, Departament de Biologia, Universitat de les Illes Balears, Palma de Mallorca, Spain
| | - Joseph A Christie-Oleza
- School of Life Sciences, University of Warwick, Gibbet Hill Road, Coventry CV47AL, United Kingdom
| | - Jean Armengaud
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France.
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Armengaud J, Trapp J, Pible O, Geffard O, Chaumot A, Hartmann EM. Non-model organisms, a species endangered by proteogenomics. J Proteomics 2014; 105:5-18. [PMID: 24440519 DOI: 10.1016/j.jprot.2014.01.007] [Citation(s) in RCA: 100] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Revised: 12/24/2013] [Accepted: 01/07/2014] [Indexed: 10/25/2022]
Abstract
UNLABELLED Previously, large-scale proteomics was possible only for organisms whose genomes were sequenced, meaning the most common model organisms. The use of next-generation sequencers is now changing the deal. With "proteogenomics", the use of experimental proteomics data to refine genome annotations, a higher integration of omics data is gaining ground. By extension, combining genomic and proteomic data is becoming routine in many research projects. "Proteogenomic"-flavored approaches are currently expanding, enabling the molecular studies of non-model organisms at an unprecedented depth. Today draft genomes can be obtained using next-generation sequencers in a rather straightforward way and at a reasonable cost for any organism. Unfinished genome sequences can be used to interpret tandem mass spectrometry proteomics data without the need for time-consuming genome annotation, and the use of RNA-seq to establish nucleotide sequences that are directly translated into protein sequences appears promising. There are, however, certain drawbacks that deserve further attention for RNA-seq to become more efficient. Here, we discuss the opportunities of working with non-model organisms, the proteomic methods that have been used until now, and the dramatic improvements proffered by proteogenomics. These put the distinction between model and non-model organisms in great danger, at least in terms of proteomics! BIOLOGICAL SIGNIFICANCE Model organisms have been crucial for in-depth analysis of cellular and molecular processes of life. Focusing the efforts of thousands of researchers on the Escherichia coli bacterium, Saccharomyces cerevisiae yeast, Arabidopsis thaliana plant, Danio rerio fish and other models for which genetic manipulation was possible was certainly worthwhile in terms of fundamental and invaluable biological insights. Until recently, proteomics of non-model organisms was limited to tedious, homology-based techniques, but today draft genomes or RNA-seq data can be straightforwardly obtained using next-generation sequencers, allowing the establishment of a draft protein database for any organism. Thus, proteogenomics opens new perspectives for molecular studies of non-model organisms, although they are still difficult experimental organisms. This article is part of a Special Issue entitled: Proteomics of non-model organisms.
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Affiliation(s)
- Jean Armengaud
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze F-30207, France.
| | - Judith Trapp
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze F-30207, France; Irstea, UR MALY, F-69626 Villeurbanne, France
| | - Olivier Pible
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze F-30207, France
| | | | | | - Erica M Hartmann
- CEA, DSV, IBEB, Lab Biochim System Perturb, Bagnols-sur-Cèze F-30207, France
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Abstract
Currently, proteomic tools are able to establish a complete list of the most abundant proteins present in a sample, providing the opportunity to study at high resolution the physiology of any bacteria for which the genome sequence is available. For a comprehensive list, proteins should be first resolved into fractions that are then proteolyzed by trypsin. The resulting peptide mixtures are analyzed by a high-throughput tandem mass spectrometer that records thousands of MS/MS spectra for each fraction. These spectra are then assigned to peptides, which are used as evidence of the existence of proteins. In addition to generating a list of protein identifications, this shortcut to proteomics uses the number of spectra recorded for each protein to quantify the observations. Here, we describe one of the most simple sample preparation methods for high-throughput proteomics of bacteria, as well as the subsequent data processing to extract quantitative information based on the spectral count approach.
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Bahassou-Benamri R, Davin AH, Gaillard JC, Alonso B, Odorico M, Pible O, Armengaud J, Godon C. Subcellular localization and interaction network of the mRNA decay activator Pat1 upon UV stress. Yeast 2013; 30:353-63. [PMID: 23847025 DOI: 10.1002/yea.2968] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2012] [Revised: 06/07/2013] [Accepted: 07/05/2013] [Indexed: 02/02/2023] Open
Abstract
To identify nucleo-cytoplasmic shuttle proteins that relocate to the nucleus upon UV stress, we selected 18 targets on the basis of their conservation amongst eukaryotes and their relatively poor functional description. Their relocation was assayed using quantitative nuclear relocation assay (QNR). We focused on Pat1, a component of the cytoplasmic foci called processing bodies (p-bodies), because it had the strongest response to the stress. We verified that Pat1 accumulates in the nucleus after GFP tagging and fluorescence microscopy. Using tandem affinity purification coupled to a mass spectrometry shotgun detection and quantitation approach, we explored the dynamics of Pat1 protein-protein interaction network after UV stress. We have shown that Pat1 co-purifies with Dhh1 specifically upon UV stress. We observed that the nuclear accumulation of Pat1 upon UV stress is abolished in a dhh1∆ strain. These data provide the first evidence that Dhh1 is required for Pat1 nuclear relocation after UV stress.
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Rubiano-Labrador C, Bland C, Miotello G, Guérin P, Pible O, Baena S, Armengaud J. Proteogenomic insights into salt tolerance by a halotolerant alpha-proteobacterium isolated from an Andean saline spring. J Proteomics 2013; 97:36-47. [PMID: 23727365 DOI: 10.1016/j.jprot.2013.05.020] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2012] [Revised: 04/30/2013] [Accepted: 05/16/2013] [Indexed: 01/18/2023]
Abstract
UNLABELLED Tistlia consotensis is a halotolerant Rhodospirillaceae that was isolated from a saline spring located in the Colombian Andes with a salt concentration close to seawater (4.5%w/vol). We cultivated this microorganism in three NaCl concentrations, i.e. optimal (0.5%), without (0.0%) and high (4.0%) salt concentration, and analyzed its cellular proteome. For assigning tandem mass spectrometry data, we first sequenced its genome and constructed a six reading frame ORF database from the draft sequence. We annotated only the genes whose products (872) were detected. We compared the quantitative proteome data sets recorded for the three different growth conditions. At low salinity general stress proteins (chaperons, proteases and proteins associated with oxidative stress protection), were detected in higher amounts, probably linked to difficulties for proper protein folding and metabolism. Proteogenomics and comparative genomics pointed at the CrgA transcriptional regulator as a key-factor for the proteome remodeling upon low osmolarity. In hyper-osmotic condition, T. consotensis produced in larger amounts proteins involved in the sensing of changes in salt concentration, as well as a wide panel of transport systems for the transport of organic compatible solutes such as glutamate. We have described here a straightforward procedure in making a new environmental isolate quickly amenable to proteomics. BIOLOGICAL SIGNIFICANCE The bacterium Tistlia consotensis was isolated from a saline spring in the Colombian Andes and represents an interesting environmental model to be compared with extremophiles or other moderate organisms. To explore the halotolerance molecular mechanisms of the bacterium T. consotensis, we developed an innovative proteogenomic strategy consisting of i) genome sequencing, ii) quick annotation of the genes whose products were detected by mass spectrometry, and iii) comparative proteomics of cells grown in three salt conditions. We highlighted in this manuscript how efficient such an approach can be compared to time-consuming genome annotation when pointing at the key proteins of a given biological question. We documented a large number of proteins found produced in greater amounts when cells are cultivated in either hypo-osmotic or hyper-osmotic conditions. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.
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Affiliation(s)
- Carolina Rubiano-Labrador
- Unidad de Saneamiento y Biotecnología Ambiental, Departamento de Biología, Pontificia Universidad Javeriana, POB 56710, Bogotá D.C., Colombia; Colombian Center for Genomics and Bioinformatics of Extreme Environments, GeBiX, Colombia
| | - Céline Bland
- CEA, DSV, iBEB, SBTN, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France
| | - Guylaine Miotello
- CEA, DSV, iBEB, SBTN, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France
| | - Philippe Guérin
- CEA, DSV, iBEB, SBTN, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France
| | - Olivier Pible
- CEA, DSV, iBEB, SBTN, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France
| | - Sandra Baena
- Unidad de Saneamiento y Biotecnología Ambiental, Departamento de Biología, Pontificia Universidad Javeriana, POB 56710, Bogotá D.C., Colombia; Colombian Center for Genomics and Bioinformatics of Extreme Environments, GeBiX, Colombia
| | - Jean Armengaud
- CEA, DSV, iBEB, SBTN, Lab Biochim System Perturb, Bagnols-sur-Cèze, F-30207, France.
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Basset C, Averseng O, Ferron PJ, Richaud N, Hagège A, Pible O, Vidaud C. Revision of the biodistribution of uranyl in serum: is fetuin-A the major protein target? Chem Res Toxicol 2013; 26:645-53. [PMID: 23527557 DOI: 10.1021/tx400048u] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Uranium is a natural actinide present as uranyl U(VI) species in aqueous environments. Its toxicity is considered to be chemical rather than radiotoxicological. Whatever the route of entry, uranyl reaches the blood, is partly eliminated via the kidneys, and accumulated in the bones. In serum, its speciation mainly involves carbonate and proteins. Direct identification of labile uranyl-protein complexes is extremely difficult because of the complexity of this matrix. Thus, until now the biodistribution of the metal in serum has not been described, and therefore, little is known about the metal transport mechanisms leading to bone accumulation. A rapid screening method based on a surface plasmon resonance (SPR) technique was used to determine the apparent affinities for U(VI) of the major serum proteins. A first biodistribution of uranyl was obtained by ranking the proteins according to the criteria of both their serum concentrations and affinities for this metal. Despite its moderate concentration in serum, fetuin-A (FETUA) was shown to exhibit an apparent affinity within the 30 nM range and to carry more than 80% of the metal. This protein involved in bone mineralization aroused interest in characterizing the U(VI) and FETUA interaction. Using complementary chromatographic and spectroscopic approaches, we demonstrated that the protein can bind 3 U(VI) at different binding sites exhibiting Kd from ∼30 nM to 10 μM. Some structural modifications and functional properties of FETUA upon uranyl complexation were also controlled. To our knowledge, this article presents the first identification of a uranyl carrier involved in bone metabolism along with the characterization of its metal binding sites.
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Affiliation(s)
- Christian Basset
- CEA/DSV/iBEB/SBTN , Laboratoire d'Etude des Protéines Cibles, BP 17171 30 207 Bagnols sur Cèze Cédex, France
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Pible O, Vidaud C, Plantevin S, Pellequer JL, Quéméneur E. Predicting the disruption by UO2(2+) of a protein-ligand interaction. Protein Sci 2010; 19:2219-30. [PMID: 20842713 PMCID: PMC3005792 DOI: 10.1002/pro.501] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2010] [Revised: 08/30/2010] [Accepted: 09/04/2010] [Indexed: 01/27/2023]
Abstract
The uranyl cation (UO(2) (2+)) can be suspected to interfere with the binding of essential metal cations to proteins, underlying some mechanisms of toxicity. A dedicated computational screen was used to identify UO(2) (2+) binding sites within a set of nonredundant protein structures. The list of potential targets was compared to data from a small molecules interaction database to pinpoint specific examples where UO(2) (2+) should be able to bind in the vicinity of an essential cation, and would be likely to affect the function of the corresponding protein. The C-reactive protein appeared as an interesting hit since its structure involves critical calcium ions in the binding of phosphorylcholine. Biochemical experiments confirmed the predicted binding site for UO(2) (2+) and it was demonstrated by surface plasmon resonance assays that UO(2) (2+) binding to CRP prevents the calcium-mediated binding of phosphorylcholine. Strikingly, the apparent affinity of UO(2) (2+) for native CRP was almost 100-fold higher than that of Ca(2+). This result exemplifies in the case of CRP the capability of our computational tool to predict effective binding sites for UO(2) (2+) in proteins and is a first evidence of calcium substitution by the uranyl cation in a native protein.
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Affiliation(s)
- Olivier Pible
- CEA Life Sciences Division, DSV, IBEB, SBTN, Bagnols-sur-Cèze, F-30207, France.
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50
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Dedieu A, Bérenguer F, Basset C, Prat O, Quéméneur E, Pible O, Vidaud C. Identification of uranyl binding proteins from human kidney-2 cell extracts by immobilized uranyl affinity chromatography and mass spectrometry. J Chromatogr A 2009; 1216:5365-76. [PMID: 19501829 DOI: 10.1016/j.chroma.2009.05.023] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2009] [Revised: 05/06/2009] [Accepted: 05/11/2009] [Indexed: 11/17/2022]
Abstract
To improve our knowledge on protein targets of uranyl ion (UO(2)(2+)), we set up a proteomic strategy based on immobilized metal-affinity chromatography (IMAC). The successful enrichment of UO(2)(2+)-interacting proteins from human kidney-2 (HK-2) soluble cell extracts was obtained using an ion-exchange chromatography followed by a dedicated IMAC process previously described and designed for the uranyl ion. By mass spectrometry analysis we identified 64 proteins displaying varied functions. The use of a computational screening algorithm along with the particular ligand-based properties of the UO(2)(2+) ion allowed the analysis and categorization of the protein collection. This profitable approach demonstrated that most of these proteins fulfill criteria which could rationalize their binding to the UO(2)(2+)-loaded phase. The obtained results enable us to focus on some targets for more in-depth studies and open new insights on its toxicity mechanisms at molecular level.
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