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International Journal of Molecular... Feb 2024The liver is the central metabolic organ and produces 85-90% of the proteins found in plasma. Accordingly, the plasma proteome is an attractive source of liver disease... (Review)
Review
The liver is the central metabolic organ and produces 85-90% of the proteins found in plasma. Accordingly, the plasma proteome is an attractive source of liver disease biomarkers that reflects the different cell types present in this organ, as well as the processes such as responses to acute and chronic injury or the formation of an extracellular matrix. In the first part, we summarize the biomarkers routinely used in clinical evaluations and their biological relevance in the different stages of non-malignant liver disease. Later, we describe the current proteomic approaches, including mass spectrometry and affinity-based techniques, that allow a more comprehensive assessment of the liver function but also require complex data processing. The many approaches of analysis and interpretation and their potential caveats are delineated. While these advances hold the promise to transform our understanding of liver diseases and support the development and validation of new liver-related drugs, an interdisciplinary collaboration is needed.
Topics: Humans; Proteome; Proteomics; Biomarkers; Liver Diseases
PubMed: 38396688
DOI: 10.3390/ijms25042008 -
International Journal of Molecular... Feb 2023Increasing attention has been focused on the study of protein-metabolite interactions (PMI), which play a key role in regulating protein functions and directing an... (Review)
Review
Increasing attention has been focused on the study of protein-metabolite interactions (PMI), which play a key role in regulating protein functions and directing an orchestra of cellular processes. The investigation of PMIs is complicated by the fact that many such interactions are extremely short-lived, which requires very high resolution in order to detect them. As in the case of protein-protein interactions, protein-metabolite interactions are still not clearly defined. Existing assays for detecting protein-metabolite interactions have an additional limitation in the form of a limited capacity to identify interacting metabolites. Thus, although recent advances in mass spectrometry allow the routine identification and quantification of thousands of proteins and metabolites today, they still need to be improved to provide a complete inventory of biological molecules, as well as all interactions between them. Multiomic studies aimed at deciphering the implementation of genetic information often end with the analysis of changes in metabolic pathways, as they constitute one of the most informative phenotypic layers. In this approach, the quantity and quality of knowledge about PMIs become vital to establishing the full scope of crosstalk between the proteome and the metabolome in a biological object of interest. In this review, we analyze the current state of investigation into the detection and annotation of protein-metabolite interactions, describe the recent progress in developing associated research methods, and attempt to deconstruct the very term "interaction" to advance the field of interactomics further.
Topics: Metabolomics; Proteomics; Metabolome; Proteome; Metabolic Networks and Pathways
PubMed: 36835565
DOI: 10.3390/ijms24044155 -
Plant Physiology May 2021Protein cysteine residues are susceptible to oxidative modifications that can affect protein functions. Proteomic techniques that comprehensively profile the cysteine... (Review)
Review
Protein cysteine residues are susceptible to oxidative modifications that can affect protein functions. Proteomic techniques that comprehensively profile the cysteine redoxome, the repertoire of oxidized cysteine residues, are pivotal towards a better understanding of the protein redox signaling. Recent technical advances in chemical tools and redox proteomic strategies have greatly improved selectivity, in vivo applicability, and quantification of the cysteine redoxome. Despite this substantial progress, still many challenges remain. Here, we provide an update on the recent advances in proteomic strategies for cysteine redoxome profiling, compare the advantages and disadvantages of current methods and discuss the outstanding challenges and future perspectives for plant redoxome research.
Topics: Cysteine; Metabolome; Oxidation-Reduction; Plant Proteins; Plants; Proteome; Proteomics
PubMed: 33793888
DOI: 10.1093/plphys/kiaa074 -
Nature Biotechnology Jan 2023Current mass spectrometry methods enable high-throughput proteomics of large sample amounts, but proteomics of low sample amounts remains limited in depth and...
Current mass spectrometry methods enable high-throughput proteomics of large sample amounts, but proteomics of low sample amounts remains limited in depth and throughput. To increase the throughput of sensitive proteomics, we developed an experimental and computational framework, called plexDIA, for simultaneously multiplexing the analysis of peptides and samples. Multiplexed analysis with plexDIA increases throughput multiplicatively with the number of labels without reducing proteome coverage or quantitative accuracy. By using three-plex non-isobaric mass tags, plexDIA enables quantification of threefold more protein ratios among nanogram-level samples. Using 1-hour active gradients, plexDIA quantified ~8,000 proteins in each sample of labeled three-plex sets and increased data completeness, reducing missing data more than twofold across samples. Applied to single human cells, plexDIA quantified ~1,000 proteins per cell and achieved 98% data completeness within a plexDIA set while using ~5 minutes of active chromatography per cell. These results establish a general framework for increasing the throughput of sensitive and quantitative protein analysis.
Topics: Humans; Proteomics; Mass Spectrometry; Peptides; Chromatography, Liquid; Proteome
PubMed: 35835881
DOI: 10.1038/s41587-022-01389-w -
Mass Spectrometry Reviews Mar 2022Proteoforms contribute functional diversity to the proteome and aberrant proteoforms levels have been implicated in biological dysfunction and disease. Fourier-transform... (Review)
Review
Proteoforms contribute functional diversity to the proteome and aberrant proteoforms levels have been implicated in biological dysfunction and disease. Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR MS), with its ultrahigh mass-resolving power, mass accuracy, and versatile tandem MS capabilities, has empowered top-down, middle-down, and native MS-based approaches for characterizing proteoforms and their complexes in biological systems. Herein, we review the features which make FT-ICR MS uniquely suited for measuring proteoform mass with ultrahigh resolution and mass accuracy; obtaining in-depth proteoform sequence coverage with expansive tandem MS capabilities; and unambiguously identifying and localizing post-translational and noncovalent modifications. We highlight examples from our body of work in which we have quantified and comprehensively characterized proteoforms from cardiac and skeletal muscle to better understand conditions such as chronic heart failure, acute myocardial infarction, and sarcopenia. Structural characterization of monoclonal antibodies and their proteoforms by FT-ICR MS and emerging applications, such as native top-down FT-ICR MS and high-throughput top-down FT-ICR MS-based proteomics at 21 T, are also covered. Historically, the information gleaned from FT-ICR MS analyses have helped provide biological insights. We predict FT-ICR MS will continue to enable the study of proteoforms of increasing size from increasingly complex endogenous mixtures and facilitate the benchmarking of sensitive and specific assays for clinical diagnostics. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.
Topics: Cyclotrons; Fourier Analysis; Mass Spectrometry; Protein Processing, Post-Translational; Proteome; Proteomics
PubMed: 32894796
DOI: 10.1002/mas.21653 -
Journal of Proteomics Sep 2020Ancient protein analysis is providing new insights into the evolutionary relationships between hominin fossils across the Pleistocene. Protein identification commonly...
Ancient protein analysis is providing new insights into the evolutionary relationships between hominin fossils across the Pleistocene. Protein identification commonly relies on the proteolysis of a protein extract using a single protease, trypsin. As with modern proteome studies, alternative or additional proteases have the potential to increase both proteome size and protein sequence recovery. This could enhance the recovery of phylogenetic information from ancient proteomes. Here we identify 18 novel hominin bone specimens from the Kleine Feldhofer Grotte using MALDI-TOF MS peptide mass fingerprinting of collagen type I. Next, we use one of these hominin bone specimens and three Late Pleistocene Equidae specimens identified in a similar manner and present a comparison of the bone proteome size and protein sequence recovery obtained after using nanoLC-MS/MS and parallel proteolysis using six different proteases, including trypsin. We observe that the majority of the preserved bone proteome is inaccessible to trypsin. We also observe that for proteins recovered consistently across several proteases, protein sequence coverage can be increased significantly by combining peptide identifications from two or more proteases. Our results thereby demonstrate that the proteolysis of Pleistocene proteomes by several proteases has clear advantages when addressing evolutionary questions in palaeoproteomics. SIGNIFICANCE: Maximizing proteome and protein sequence recovery of ancient skeletal proteomes is important when analyzing unique hominin fossils. As with modern proteome studies, palaeoproteomic analysis of Pleistocene bone and dentine samples has almost exclusively used trypsin as its only protease, despite the demonstrated advantages of alternative proteases to increase proteome recovery in modern proteome studies. We demonstrate that Pleistocene bone proteomes can be significantly expanded by using additional proteases beside trypsin, and that this also improves sequence coverage of individual proteins. The use of several alternative proteases beside trypsin therefore has major benefits to maximize the phylogenetic information retrieved from ancient skeletal proteomes.
Topics: Peptide Hydrolases; Phylogeny; Proteome; Proteomics; Tandem Mass Spectrometry
PubMed: 32652221
DOI: 10.1016/j.jprot.2020.103889 -
Expert Review of Proteomics Jun 2021Fibroblasts maintain tissue and organ homeostasis through output of extracellular matrix that affects nearby cell signaling within the stroma. Altered fibroblast... (Review)
Review
INTRODUCTION
Fibroblasts maintain tissue and organ homeostasis through output of extracellular matrix that affects nearby cell signaling within the stroma. Altered fibroblast signaling contributes to many disease states and extracellular matrix secreted by fibroblasts has been used to stratify patient by outcome, recurrence, and therapeutic resistance. Recent advances in imaging mass spectrometry allow access to single cell fibroblasts and their ECM niche within clinically relevant tissue samples.
AREAS COVERED
We review biological and technical challenges as well as new solutions to proteomic access of fibroblast expression within the complex tissue microenvironment. Review topics cover conventional proteomic methods for single fibroblast analysis and current approaches to accessing single fibroblast proteomes by imaging mass spectrometry approaches. Strategies to target and evaluate the single cell stroma proteome on the basis of cell signaling are presented.
EXPERT OPINION
The promise of defining proteomic signatures from fibroblasts and their extracellular matrix niches is the discovery of new disease markers and the ability to refine therapeutic treatments. Several imaging mass spectrometry approaches exist to define the fibroblast in the setting of pathological changes from clinically acquired samples. Continued technology advances are needed to access and understand the stromal proteome and apply testing to the clinic.
Topics: Extracellular Matrix; Fibroblasts; Humans; Mass Spectrometry; Proteome; Proteomics
PubMed: 34129411
DOI: 10.1080/14789450.2021.1941893 -
Genomics, Proteomics & Bioinformatics Oct 2021In the past decade, relative proteomic quantification using isobaric labeling technology has developed into a key tool for comparing the expression of proteins in... (Review)
Review
In the past decade, relative proteomic quantification using isobaric labeling technology has developed into a key tool for comparing the expression of proteins in biological samples. Although its multiplexing capacity and flexibility make this a valuable technology for addressing various biological questions, its quantitative accuracy and precision still pose significant challenges to the reliability of its quantification results. Here, we give a detailed overview of the different kinds of isobaric mass tags and the advantages and disadvantages of the isobaric labeling method. We also discuss which precautions should be taken at each step of the isobaric labeling workflow, to obtain reliable quantification results in large-scale quantitative proteomics experiments. In the last section, we discuss the broad applications of the isobaric labeling technology in biological and clinical studies, with an emphasis on thermal proteome profiling and proteogenomics.
Topics: Proteome; Proteomics; Reproducibility of Results; Tandem Mass Spectrometry
PubMed: 35007772
DOI: 10.1016/j.gpb.2021.08.012 -
Molecular Systems Biology Jul 2021While informative, protein amounts and physical protein associations do not provide a full picture of protein function. This Commentary highlights the potential of...
While informative, protein amounts and physical protein associations do not provide a full picture of protein function. This Commentary highlights the potential of structural and stability proteomic technologies to derive new insights in biology and medicine.
Topics: Biophysics; Proteome; Proteomics
PubMed: 34293219
DOI: 10.15252/msb.202110442 -
STAR Protocols Sep 2023Tandem mass tags data-dependent acquisition (TMT-DDA) as well as data-independent acquisition-based label-free quantification (LFQ-DIA) have become the leading workflows...
Tandem mass tags data-dependent acquisition (TMT-DDA) as well as data-independent acquisition-based label-free quantification (LFQ-DIA) have become the leading workflows to achieve deep proteome and phosphoproteome profiles. We present a modular pipeline for TMT-DDA and LFQ-DIA that integrates steps to perform scalable phosphoproteome profiling, including protein lysate extraction, clean-up, digestion, phosphopeptide enrichment, and TMT-labeling. We also detail peptide and/or phosphopeptide fractionation and pre-mass spectrometry desalting and provide researchers guidance on choosing the best workflow based on sample number and input. For complete details on the use and execution of this protocol, please refer to Koenig et al. and Martínez-Val et al..
Topics: Phosphopeptides; Proteome; Proteomics; Mass Spectrometry; Workflow
PubMed: 37659085
DOI: 10.1016/j.xpro.2023.102536