Proteotyping Approach Research Articles

Exploring Andean High-Altitude Lake Extremophiles through Advanced Proteotyping.

Quickly identifying and characterizing isolates from extreme environments is currently challenging while very important to explore the Earth's biodiversity. As these isolates may, in principle, be distantly related to known species, techniques are needed to reliably identify the branch of life to which they belong. Proteotyping these environmental isolates by tandem mass spectrometry offers a rapid and cost-effective option for their identification using their peptide profiles. In this study, we document the first high-throughput proteotyping approach for environmental extremophilic and halophilic isolates. Microorganisms were isolated from samples originating from high-altitude Andean lakes (3700-4300 m a.s.l.) in the Chilean Altiplano, which represent environments on Earth that resemble conditions on other planets. A total of 66 microorganisms were cultivated and identified by proteotyping and 16S rRNA gene amplicon sequencing. Both the approaches revealed the same genus identification for all isolates except for three isolates possibly representing not yet taxonomically characterized organisms based on their peptidomes. Proteotyping was able to indicate the presence of two potentially new genera from the families of Paracoccaceae and Chromatiaceae/Alteromonadaceae, which have been overlooked by 16S rRNA amplicon sequencing approach only. The paper highlights that proteotyping has the potential to discover undescribed microorganisms from extreme environments.

Taxonomical composition and functional analysis of biofilms sampled from a nuclear storage pool.

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.

Amyotrophic Lateral Sclerosis Is Accompanied by Protein Derangements in the Olfactory Bulb-Tract Axis

Amyotrophic lateral sclerosis (ALS) is a fatal disease characterized by progressive muscle paralysis due to the degeneration of upper and lower motor neurons. Recent studies point out an involvement of the non-motor axis during disease progression. Despite smell impairment being considered a potential non-motor finding in ALS, the pathobiochemistry at the olfactory level remains unknown. Here, we applied an olfactory quantitative proteotyping approach to analyze the magnitude of the olfactory bulb (OB) proteostatic imbalance in ALS subjects (n = 12) with respect to controls (n = 8). Around 3% of the quantified OB proteome was differentially expressed, pinpointing aberrant protein expression involved in vesicle-mediated transport, macroautophagy, axon development and gliogenesis in ALS subjects. The overproduction of olfactory marker protein (OMP) points out an imbalance in the olfactory signal transduction in ALS. Accompanying the specific overexpression of glial fibrillary acidic protein (GFAP) and Bcl-xL in the olfactory tract (OT), a tangled disruption of signaling routes was evidenced across the OB–OT axis in ALS. In particular, the OB survival signaling dynamics clearly differ between ALS and frontotemporal lobar degeneration (FTLD), two faces of TDP-43 proteinopathy. To the best of our knowledge, this is the first report on high-throughput molecular characterization of the olfactory proteostasis in ALS.

Breast Cancer Classification Based on Proteotypes Obtained by SWATH Mass Spectrometry

SummaryAccurate classification of breast tumors is vital for patient management decisions and enables more precise cancer treatment. Here, we present a quantitative proteotyping approach based on sequential windowed acquisition of all theoretical fragment ion spectra (SWATH) mass spectrometry and establish key proteins for breast tumor classification. The study is based on 96 tissue samples representing five conventional breast cancer subtypes. SWATH proteotype patterns largely recapitulate these subtypes; however, they also reveal varying heterogeneity within the conventional subtypes, with triple negative tumors being the most heterogeneous. Proteins that contribute most strongly to the proteotype-based classification include INPP4B, CDK1, and ERBB2 and are associated with estrogen receptor (ER) status, tumor grade status, and HER2 status. Although these three key proteins exhibit high levels of correlation with transcript levels (R > 0.67), general correlation did not exceed R = 0.29, indicating the value of protein-level measurements of disease-regulated genes. Overall, this study highlights how cancer tissue proteotyping can lead to more accurate patient stratification.

Olfactory proteotyping: towards the enlightenment of the neurodegeneration.

Olfactory proteotyping: towards the enlightenment of the neurodegeneration.

Subtyping of hepatitis C virus with high resolution mass spectrometry

A proteotyping approach using high resolution mass spectrometry has been applied, for the first time, to subtype the hepatitis C virus based upon detection of one or more signature peptides derived from the E1 and E2 envelope glycoproteins. These signature peptides represent conserved peptide segments within these proteins for particular subtypes of the virus that are found to be unique in mass when compared with the theoretical masses for all peptide segments of translated HCV proteins within a specifically constructed database. The successful application of the approach to three different subtypes of the virus (i.e., 1a, 1b and 2b) is demonstrated for protein and whole virus proteolytic digests. The approach has the potential to replace existing PCR-based subtyping by offering amore direct and cost comparable strategy that is not challenged by mixed infection scenarios.

Origins of the reassortant 2009 pandemic influenza virus through proteotyping with mass spectrometry

The application of a proteotyping approach employing high resolution mass spectrometry based is shown to be able to determine the gene origin of all major viral proteins in a triple reassortant pandemic 2009 influenza strain. Key to this approach is the identification of unique swine-host-specific signature and indicator peptides that are characteristic of influenza viruses circulating in North American and Eurasian swine herds in the years prior to the 2009 influenza pandemic. These swine-and human pandemic-specific signatures enable the origins of viral proteins in a clinical virus specimen to be determined and such strains to be rapidly and directly differentiated from other co-circulating seasonal influenza viruses from the same period. The proteotyping strategy offers advantages over traditional RT-PCR-based approaches that are currently the mainstay of influenza surveillance at the molecular level.

Incorporation of a Proteotyping Approach Using Mass Spectrometry for Surveillance of Influenza Virus in Cell-Cultured Strains

The reemergence of deadly pandemic influenza virus strains has necessitated the development of improved methods for rapid detection and subtyping of influenza viruses that will enable more strains to be characterized at the molecular level. Representative circulating strains of human influenza viruses from primary clinical specimens were grown in cell culture, purified through polyethylene glycol precipitation, proteolytically digested with an endoproteinase, and analyzed and identified by high-resolution mass spectrometry using unique signature peptides that are characteristic of type A H1N1 and H3N2 and type B influenza viruses. This proteotyping approach enabled circulating strains of type A influenza virus to be typed and subtyped, cocirculating seasonal and pandemic H1N1 viruses to be differentiated, and the lineage of type B viruses to be determined through single-ion detection by high-resolution mass spectrometry. Results were obtained using virus titers comparable to those used in reverse transcription (RT)-PCR assays with clinical specimens grown in cell cultures. The methodology represents a more rapid and direct approach than RT-PCR and can be integrated into existing procedures currently used for the surveillance of emerging pandemic and seasonal influenza viruses.

Proteotyping of the Parainfluenza Virus with High-Resolution Mass Spectrometry

Parainfluenza viruses (PIVs) are one of the most common causes of respiratory tract infections in children and can be life-threatening when the airway becomes obstructed. Infection results in a spectrum of respiratory disease symptoms that makes diagnosis difficult. A new proteotyping approach employing high-resolution mass spectrometry is shown to be able to distinguish common human serotypes of the PIV from the perspective of all surface and internal viral proteins. The detection of signature peptides, conserved in sequence and unique in mass, within the spectra of these protein or whole virus digests enables the parainfluenza virus to be identified and typed and for it to be distinguished from the influenza virus. Given that the approach is more rapid and direct than conventional reverse transcriptase polymerase chain reaction (RT-PCR), and that it can be implemented with high sample throughout at a comparable sensitivity, it affords an effective new means with which to characterize the virus at the molecular level.

Subtyping of influenza neuraminidase using mass spectrometry

A proteotyping approach which employs high resolution mass spectrometry is shown to be able to differentiate all nine neuraminidase subtypes of type A influenza viruses that infect both humans and animals. Conserved sequences among tryptic peptides were identified through alignments of influenza neuraminidase sequences across all subtypes N1-N9 among human and animal hosts. Those that were unique in mass represent signature peptides which, when detected in the mass spectra of an influenza neuraminidase or whole virus digest, enable strains to be subtyped with confidence. The ability to distinguish N1 neuraminidase derived from human H5N1 and H1N1 strains is also demonstrated. The approach provides a more rapid and direct approach with which to subtype the virus than conventional molecular based PCR methods with comparable sensitivity. This should help facilitate a more rapid response in the event of a local epidemic or global pandemic.

Proteotyping for the rapid identification of influenza virus and other biopathogens

The influenza virus is one of the most deadly infectious agents known to man and has been responsible for the deaths of some hundred million lives throughout human history. The need to rapidly and reliably survey circulating virus strains down to the molecular level is ever present. This tutorial describes the development and application of a new proteotyping approach that harnesses the power of high resolution of mass spectrometry to characterise the influenza virus, and by extension other bacterial and viral pathogens. The approach is shown to be able to type, subtype, and determine the lineage of human influenza virus strains through the detection of one or more signature peptide ions in the mass spectrum of whole virus digests. Pandemic strains can be similarly distinguished from seasonal ones, and new computer algorithms have been written to allow reassorted strains that pose the greatest pandemic risk to be rapidly identified from such datasets. The broader application of the approach is further demonstrated here for the parainfluenza virus, a virus which can be life threatening to children and presents similar clinical symptoms to influenza.

FluShuffle and FluResort: new algorithms to identify reassorted strains of the influenza virus by mass spectrometry

BackgroundInfluenza is one of the oldest and deadliest infectious diseases known to man. Reassorted strains of the virus pose the greatest risk to both human and animal health and have been associated with all pandemics of the past century, with the possible exception of the 1918 pandemic, resulting in tens of millions of deaths. We have developed and tested new computer algorithms, FluShuffle and FluResort, which enable reassorted viruses to be identified by the most rapid and direct means possible. These algorithms enable reassorted influenza, and other, viruses to be rapidly identified to allow prevention strategies and treatments to be more efficiently implemented.ResultsThe FluShuffle and FluResort algorithms were tested with both experimental and simulated mass spectra of whole virus digests. FluShuffle considers different combinations of viral protein identities that match the mass spectral data using a Gibbs sampling algorithm employing a mixed protein Markov chain Monte Carlo (MCMC) method. FluResort utilizes those identities to calculate the weighted distance of each across two or more different phylogenetic trees constructed through viral protein sequence alignments. Each weighted mean distance value is normalized by conversion to a Z-score to establish a reassorted strain.ConclusionsThe new FluShuffle and FluResort algorithms can correctly identify the origins of influenza viral proteins and the number of reassortment events required to produce the strains from the high resolution mass spectral data of whole virus proteolytic digestions. This has been demonstrated in the case of constructed vaccine strains as well as common human seasonal strains of the virus. The algorithms significantly improve the capability of the proteotyping approach to identify reassorted viruses that pose the greatest pandemic risk.

Proteotyping to Establish Gene Origin within Reassortant Influenza Viruses

The application of a rapid and direct proteotyping approach with which to identify the gene origin of viral antigens in a reassortant influenza strain is demonstrated. The reassortant strain, constructed for a vaccine against type A 2009 H1N1 pandemic influenza, contains genes derived from a wild-type pandemic strain (A/California/7/2009) and an egg adapted high-growth strain (denoted NYMC X-157) derived from an earlier A/Puerto Rico/8/34 strain. The proteotyping approach employs modern proteomics methods and high resolution mass spectrometry to correctly establish that the genes of the surface antigens, hemagglutinin and neuraminidase, are derived from the A/California/7/2009 strain while those for nucleoprotein and matrix protein M1 antigens are derived from the NYMC X-157 strain. This is achieved for both gel-separated antigens and those from a whole vaccine digest. Furthermore, signature peptides detected in the mass spectra of the digested antigens enable the engineered reassortant strain to be identified as a type A virus of the H1N1 subtype in accord with earlier studies. The results demonstrate that proteotyping approach provides a more direct and rapid approach over RT-PCR with which to characterize reassortant strains of the influenza virus at the molecular protein level. Given that these strains pose the greatest risk to human and animal health and have been responsible for all human pandemics of the 20th and 21st centuries, there is a vital need for the origins and evolutionary history of these strains to be rapidly established.

Evolution of H5N1 influenza virus through proteotyping of hemagglutinin with high resolution mass spectrometry

The evolution of the major surface hemagglutinin (HA) antigen of type A H5N1 influenza viruses is explored at the amino acid level using a new proteotyping approach. Alignments of translated hemagglutinin gene sequences of all characterised type A H5N1 strains, or subsets thereof, has enabled the presence of signature peptides of conserved sequence and unique mass to be investigated from the perspective of the host, period and region from which strains were isolated. Consistent with the rapid, cross species transmission of H5N1 strains among migratory birds, poultry and humans throughout south-east Asia, no signatures unique to the host or region were found. Nevertheless, several period-specific signature peptides were identified that enable strains associated with the 1997 H5N1 pandemic to be rapidly differentiated from those in circulation across the subsequent decade.

Proteotyping to establish the lineage of type A H1N1 and type B human influenza virus

The ability to establish the lineage of type A H1N1 and type B human influenza virus strains using a new proteotyping approach is demonstrated. Lineage-specific signature peptides have been determined for the hemagglutinin antigen of type A H1N1 and type B influenza viruses. The detection of these peptides alone within the high resolution mass spectra of whole antigen digests enables the lineage of the strain to be rapidly and unequivocally assigned. This proteotyping approach complements conventional PCR approaches and should aid in the monitoring of the evolution of the influenza virus in both humans and animals.