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1.
De novo sequencing of proteins by mass spectrometry.
Vitorino, R, Guedes, S, Trindade, F, Correia, I, Moura, G, Carvalho, P, Santos, MAS, Amado, F
Expert review of proteomics. 2020;(7-8):595-607
Abstract
INTRODUCTION Proteins are crucial for every cellular activity and unraveling their sequence and structure is a crucial step to fully understand their biology. Early methods of protein sequencing were mainly based on the use of enzymatic or chemical degradation of peptide chains. With the completion of the human genome project and with the expansion of the information available for each protein, various databases containing this sequence information were formed. AREAS COVERED De novo protein sequencing, shotgun proteomics and other mass-spectrometric techniques, along with the various software are currently available for proteogenomic analysis. Emphasis is placed on the methods for de novo sequencing, together with potential and shortcomings using databases for interpretation of protein sequence data. EXPERT OPINION As mass-spectrometry sequencing performance is improving with better software and hardware optimizations, combined with user-friendly interfaces, de-novo protein sequencing becomes imperative in shotgun proteomic studies. Issues regarding unknown or mutated peptide sequences, as well as, unexpected post-translational modifications (PTMs) and their identification through false discovery rate searches using the target/decoy strategy need to be addressed. Ideally, it should become integrated in standard proteomic workflows as an add-on to conventional database search engines, which then would be able to provide improved identification.
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Proteomic advances in salivary diagnostics.
Pappa, E, Vougas, K, Zoidakis, J, Vastardis, H
Biochimica et biophysica acta. Proteins and proteomics. 2020;(11):140494
Abstract
Saliva is identified as functional equivalent to serum, reflecting the physiological state of the body, as well as hormonal, emotional, nutritional and metabolic alterations. The application of mass spectrometry based approaches has allowed a thorough characterization of the saliva proteome and led to the discovery of putative biomarkers. Several salivary biomarkers have been recently explored as potentially useful screening tools in patients diagnosed with metabolic disorders. In this review, we provide an overview of saliva proteomics studies, with a focus on diabetes, and we explore the evidence for the utility of well identified markers for the diagnosis and monitoring of the disease. Emerging approaches in salivary diagnostics that may significantly advance the field of diabetes research are also highlighted.
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Hepatic Transporter Alterations by Nuclear Receptor Agonist T0901317 in Sandwich-Cultured Human Hepatocytes: Proteomic Analysis and PBPK Modeling to Evaluate Drug-Drug Interaction Risk.
Ito, K, Sjöstedt, N, Malinen, MM, Guo, C, Brouwer, KLR
The Journal of pharmacology and experimental therapeutics. 2020;(2):261-268
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Abstract
In vitro approaches for predicting drug-drug interactions (DDIs) caused by alterations in transporter protein regulation are not well established. However, reports of transporter regulation via nuclear receptor (NR) modulation by drugs are increasing. This study examined alterations in transporter protein levels in sandwich-cultured human hepatocytes (SCHH; n = 3 donors) measured by liquid chromatography-tandem mass spectrometry-based proteomic analysis after treatment with N-[4-(1,1,1,3,3,3-hexafluoro-2-hydroxypropan-2-yl)phenyl]-N-(2,2,2-trifluoroethyl)benzenesulfonamide (T0901317), the first described synthetic liver X receptor agonist. T0901317 treatment (10 μM, 48 hours) decreased the levels of organic cation transporter (OCT) 1 (0.22-, 0.43-, and 0.71-fold of control) and organic anion transporter (OAT) 2 (0.38-, 0.38-, and 0.53-fold of control) and increased multidrug resistance protein (MDR) 1 (1.37-, 1.48-, and 1.59-fold of control). The induction of NR downstream gene expression supports the hypothesis that T0901317 off-target effects on farnesoid X receptor and pregnane X receptor activation are responsible for the unexpected changes in OCT1, OAT2, and MDR1. Uptake of the OCT1 substrate metformin in SCHH was decreased by T0901317 treatment. Effects of decreased OCT1 levels on metformin were simulated using a physiologically-based pharmacokinetic (PBPK) model. Simulations showed a clear decrease in metformin hepatic exposure resulting in a decreased pharmacodynamic effect. This DDI would not be predicted by the modest changes in simulated metformin plasma concentrations. Altogether, the current study demonstrated that an approach combining SCHH, proteomic analysis, and PBPK modeling is useful for revealing tissue concentration-based DDIs caused by unexpected regulation of hepatic transporters by NR modulators. SIGNIFICANCE STATEMENT This study utilized an approach combining sandwich-cultured human hepatocytes, proteomic analysis, and physiologically based pharmacokinetic modeling to evaluate alterations in pharmacokinetics (PK) and pharmacodynamics (PD) caused by transporter regulation by nuclear receptor modulators. The importance of this approach from a mechanistic and clinically relevant perspective is that it can reveal drug-drug interactions (DDIs) caused by unexpected regulation of hepatic transporters and enable prediction of altered PK and PD changes, especially for tissue concentration-based DDIs.
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A meta-analysis of affinity purification-mass spectrometry experimental systems used to identify eukaryotic and chlamydial proteins at the Chlamydia trachomatis inclusion membrane.
Olson, MG, Ouellette, SP, Rucks, EA
Journal of proteomics. 2020;:103595
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Abstract
The obligate intracellular bacterial pathogen, Chlamydia trachomatis, develops within a membrane-bound vacuole termed the inclusion. Affinity purification-mass spectrometry (AP-MS) experiments to study the interactions that occur at the chlamydial inclusion membrane have been performed and, more recently, combined with advances in C. trachomatis genetics. However, each of the four AP-MS published reports used either different experimental approaches or statistical tools to identify proteins that localize at the inclusion. We critically analyzed each experimental approach and performed a meta-analysis of the reported statistically significant proteins for each study, finding that only a few eukaryotic proteins were commonly identified between all four experimental approaches. The two similarly conducted in vivo labeling studies were compared using the same statistical analysis tool, Significance Analysis of INTeractome (SAINT), which revealed a disparity in the number of significant proteins identified by the original analysis. We further examined methods to identify potential background contaminant proteins that remain after statistical analysis. Overall, this meta-analysis highlights the importance of carefully controlling and analyzing the AP-MS data so that pertinent information can be obtained from these various AP-MS experimental approaches. This study provides important guidelines and considerations for using this methodology to study intracellular pathogens residing within a membrane-bound compartment. SIGNIFICANCE Chlamydia trachomatis, an obligate intracellular pathogen, grows within a membrane-bound vacuole termed the inclusion. The inclusion is studded with bacterial membrane proteins that likely orchestrate numerous interactions with the host cell. Although maintenance of the intracellular niche is vital, an understanding of the host-pathogen interactions that occur at the inclusion membrane is limited by the difficulty in purifying membrane protein fractions from infected host cells. The experimental procedures necessary to solubilize hydrophobic proteins fail to maintain transient protein-protein interactions. Advances in C. trachomatis genetics has allowed us and others to use various experimental approaches in combination with affinity purification mass spectrometry (AP-MS) to study the interactions that occur at the chlamydial vacuolar, or inclusion, membrane. For the first time, two groups have published AP-MS studies using the same tool, the ascorbate peroxidase proximity labeling system (APEX2), which overcomes past experimental limitations because membrane protein interactions are labeled in vivo in the context of infection. The utility of this system is highlighted by its ability to study chlamydial type III secreted inclusion membrane protein (Inc) interactions. Incs act as the mediators of host-pathogen interactions at the inclusion during C. trachomatis infection. When carefully controlled and analyzed, the data obtained can yield copious amounts of useful information. Here, we critically analyzed four previously published studies, including statistical analysis of AP-MS datasets related to Chlamydia-host interactions, to contextualize the data and to identify the best practices in interpreting these types of complex outputs.
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A simple and rapid pipeline for identification of receptor-binding sites on the surface proteins of pathogens.
Mertinková, P, Kulkarni, A, Káňová, E, Bhide, K, Tkáčová, Z, Bhide, M
Scientific reports. 2020;(1):1163
Abstract
Ligand-receptor interactions play a crucial role in the plethora of biological processes. Several methods have been established to reveal ligand-receptor interface, however, the majority of methods are time-consuming, laborious and expensive. Here we present a straightforward and simple pipeline to identify putative receptor-binding sites on the pathogen ligands. Two model ligands (bait proteins), domain III of protein E of West Nile virus and NadA of Neisseria meningitidis, were incubated with the proteins of human brain microvascular endothelial cells immobilized on nitrocellulose or PVDF membrane, the complex was trypsinized on-membrane, bound peptides of the bait proteins were recovered and detected on MALDI-TOF. Two peptides of DIII (~916 Da and ~2003 Da) and four peptides of NadA (~1453 Da, ~1810 Da, ~2051 Da and ~2433 Da) were identified as plausible receptor-binders. Further, binding of the identified peptides to the proteins of endothelial cells was corroborated using biotinylated synthetic analogues in ELISA and immunocytochemistry. Experimental pipeline presented here can be upscaled easily to map receptor-binding sites on several ligands simultaneously. The approach is rapid, cost-effective and less laborious. The proposed experimental pipeline could be a simpler alternative or complementary method to the existing techniques used to reveal amino-acids involved in the ligand-receptor interface.
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Nanoparticles: Synthesis, Morphophysiological Effects, and Proteomic Responses of Crop Plants.
Hossain, Z, Yasmeen, F, Komatsu, S
International journal of molecular sciences. 2020;(9)
Abstract
Plant cells are frequently challenged with a wide range of adverse environmental conditions that restrict plant growth and limit the productivity of agricultural crops. Rapid development of nanotechnology and unsystematic discharge of metal containing nanoparticles (NPs) into the environment pose a serious threat to the ecological receptors including plants. Engineered nanoparticles are synthesized by physical, chemical, biological, or hybrid methods. In addition, volcanic eruption, mechanical grinding of earthquake-generating faults in Earth's crust, ocean spray, and ultrafine cosmic dust are the natural source of NPs in the atmosphere. Untying the nature of plant interactions with NPs is fundamental for assessing their uptake and distribution, as well as evaluating phytotoxicity. Modern mass spectrometry-based proteomic techniques allow precise identification of low abundant proteins, protein-protein interactions, and in-depth analyses of cellular signaling networks. The present review highlights current understanding of plant responses to NPs exploiting high-throughput proteomics techniques. Synthesis of NPs, their morphophysiological effects on crops, and applications of proteomic techniques, are discussed in details to comprehend the underlying mechanism of NPs stress acclimation.
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A proteome-integrated, carbon source dependent genetic regulatory network in Saccharomyces cerevisiae.
Garcia-Albornoz, M, Holman, SW, Antonisse, T, Daran-Lapujade, P, Teusink, B, Beynon, RJ, Hubbard, SJ
Molecular omics. 2020;(1):59-72
Abstract
Integrated regulatory networks can be powerful tools to examine and test properties of cellular systems, such as modelling environmental effects on the molecular bioeconomy, where protein levels are altered in response to changes in growth conditions. Although extensive regulatory pathways and protein interaction data sets exist which represent such networks, few have formally considered quantitative proteomics data to validate and extend them. We generate and consider such data here using a label-free proteomics strategy to quantify alterations in protein abundance for S. cerevisiae when grown on minimal media using glucose, galactose, maltose and trehalose as sole carbon sources. Using a high quality-controlled subset of proteins observed to be differentially abundant, we constructed a proteome-informed network, comprising 1850 transcription factor interactions and 37 chaperone interactions, which defines the major changes in the cellular proteome when growing under different carbon sources. Analysis of the differentially abundant proteins involved in the regulatory network pointed to their significant roles in specific metabolic pathways and function, including glucose homeostasis, amino acid biosynthesis, and carbohydrate metabolic process. We noted strong statistical enrichment in the differentially abundant proteome of targets of known transcription factors associated with stress responses and altered carbon metabolism. This shows how such integrated analysis can lend further experimental support to annotated regulatory interactions, since the proteomic changes capture both magnitude and direction of gene expression change at the level of the affected proteins. Overall this study highlights the power of quantitative proteomics to help define regulatory systems pertinent to environmental conditions.
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Diagnostic amyloid proteomics: experience of the UK National Amyloidosis Centre.
Canetti, D, Rendell, NB, Gilbertson, JA, Botcher, N, Nocerino, P, Blanco, A, Di Vagno, L, Rowczenio, D, Verona, G, Mangione, PP, et al
Clinical chemistry and laboratory medicine. 2020;(6):948-957
Abstract
Systemic amyloidosis is a serious disease which is caused when normal circulating proteins misfold and aggregate extracellularly as insoluble fibrillary deposits throughout the body. This commonly results in cardiac, renal and neurological damage. The tissue target, progression and outcome of the disease depends on the type of protein forming the fibril deposit, and its correct identification is central to determining therapy. Proteomics is now used routinely in our centre to type amyloid; over the past 7 years we have examined over 2000 clinical samples. Proteomics results are linked directly to our patient database using a simple algorithm to automatically highlight the most likely amyloidogenic protein. Whilst the approach has proved very successful, we have encountered a number of challenges, including poor sample recovery, limited enzymatic digestion, the presence of multiple amyloidogenic proteins and the identification of pathogenic variants. Our proteomics procedures and approaches to resolving difficult issues are outlined.
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Retention Time Prediction and Protein Identification.
Henneman, A, Palmblad, M
Methods in molecular biology (Clifton, N.J.). 2020;:115-132
Abstract
In bottom-up proteomics, proteins are typically identified by enzymatic digestion into peptides, tandem mass spectrometry and comparison of the tandem mass spectra with those predicted from a sequence database for peptides within measurement uncertainty from the experimentally obtained mass. Although now decreasingly common, isolated proteins or simple protein mixtures can also be identified by measuring only the masses of the peptides resulting from the enzymatic digest, without any further fragmentation. Separation methods such as liquid chromatography and electrophoresis are often used to fractionate complex protein or peptide mixtures prior to analysis by mass spectrometry. Although the primary reason for this is to avoid ion suppression and improve data quality, these separations are based on physical and chemical properties of the peptides or proteins and therefore also provide information about them. Depending on the separation method, this could be protein molecular weight (SDS-PAGE), isoelectric point (IEF), charge at a known pH (ion exchange chromatography), or hydrophobicity (reversed phase chromatography). These separations produce approximate measurements on properties that to some extent can be predicted from amino acid sequences. In the case of molecular weight of proteins without posttranslational modifications this is straightforward: simply add the molecular weights of the amino acid residues in the protein. For IEF, charge and hydrophobicity, the order of the amino acids, and folding state of the peptide or protein also matter, but it is nevertheless possible to predict the behavior of peptides and proteins in these separation methods to a degree which renders such predictions useful. This chapter reviews the topic of using data from separation methods for identification and validation in proteomics, with special emphasis on predicting retention times of tryptic peptides in reversed-phase chromatography under acidic conditions, as this is one of the most commonly used separation methods in bottom-up proteomics.
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Protein amino-termini and how to identify them.
Bogaert, A, Gevaert, K
Expert review of proteomics. 2020;(7-8):581-594
Abstract
INTRODUCTION The N-terminus of a protein can encode several protein features, including its half-live and its localization. As the proteomics field remains dominated by bottom-up approaches and as N-terminal peptides only account for a fraction of all analyzable peptides, there is a need for their enrichment prior to analysis. COFRADIC, TAILS, and the subtiligase method were among the first N-terminomics methods developed, and several variants and novel methods were introduced that often reduce processing time and/or the amount of material required. AREAS COVERED We present an overview of how the field of N-terminomics developed, including a discussion of the founding methods, several updates made to these and introduce newer methods such as TMPP-labeling, biotin-based methods besides some necessary improvements in data analysis. EXPERT OPINION N-terminomic methods remain being used and improved methods are published however, more efficient use of contemporary mass spectrometers, promising data-independent approaches, and mass spectrometry-free single peptide or protein sequences may threat the N-terminomics field.