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Savickas S, Kastl P, auf dem Keller U. Combinatorial degradomics: Precision tools to unveil proteolytic processes in biological systems. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2020; 1868:140392. [DOI: 10.1016/j.bbapap.2020.140392] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 02/13/2020] [Accepted: 02/14/2020] [Indexed: 12/28/2022]
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2
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Hurtado Silva M, Berry IJ, Strange N, Djordjevic SP, Padula MP. Terminomics Methodologies and the Completeness of Reductive Dimethylation: A Meta-Analysis of Publicly Available Datasets. Proteomes 2019; 7:proteomes7020011. [PMID: 30934878 PMCID: PMC6631386 DOI: 10.3390/proteomes7020011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 03/22/2019] [Accepted: 03/25/2019] [Indexed: 12/30/2022] Open
Abstract
Methods for analyzing the terminal sequences of proteins have been refined over the previous decade; however, few studies have evaluated the quality of the data that have been produced from those methodologies. While performing global N-terminal labelling on bacteria, we observed that the labelling was not complete and investigated whether this was a common occurrence. We assessed the completeness of labelling in a selection of existing, publicly available N-terminomics datasets and empirically determined that amine-based labelling chemistry does not achieve complete labelling and potentially has issues with labelling amine groups at sequence-specific residues. This finding led us to conduct a thorough review of the historical literature that showed that this is not an unexpected finding, with numerous publications reporting incomplete labelling. These findings have implications for the quantitation of N-terminal peptides and the biological interpretations of these data.
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Affiliation(s)
- Mariella Hurtado Silva
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Iain J Berry
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
- The ithree Institute, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Natalie Strange
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Steven P Djordjevic
- The ithree Institute, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
| | - Matthew P Padula
- Proteomics Core Facility and School of Life Sciences, Faculty of Science, University of Technology Sydney, Broadway NSW 2007, Australia.
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3
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Thompson CR, Champion MM, Champion PA. Quantitative N-Terminal Footprinting of Pathogenic Mycobacteria Reveals Differential Protein Acetylation. J Proteome Res 2018; 17:3246-3258. [PMID: 30080413 DOI: 10.1021/acs.jproteome.8b00373] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
N-terminal acetylation (NTA) is a post-transcriptional modification of proteins that is conserved from bacteria to humans. In bacteria, the enzymes that mediate protein NTA also promote antimicrobial resistance. In pathogenic mycobacteria, which cause human tuberculosis and other chronic infections, NTA has been linked to pathogenesis and stress response, yet the fundamental biology underlying NTA of mycobacterial proteins remains unclear. We enriched, defined, and quantified the NT-acetylated populations of both cell-associated and secreted proteins from both the human pathogen, Mycobacterium tuberculosis, and the nontuberculous opportunistic pathogen, Mycobacterium marinum. We used a parallel N-terminal enrichment strategy from proteolytic digests coupled to charge-based selection and stable isotope ratio mass spectrometry. We show that NTA of the mycobacterial proteome is abundant, diverse, and primarily on Thr residues, which is unique compared with other bacteria. We isolated both the acetylated and unacetylated forms of 256 proteins, indicating that NTA of mycobacterial proteins is homeostatic. We identified 16 mycobacterial proteins with differential levels of NTA on the cytoplasmic and secreted forms, linking protein modification and localization. Our findings reveal novel biology underlying the NTA of mycobacterial proteins, which may provide a basis to understand NTA in mycobacterial physiology, pathogenesis, and antimicrobial resistance.
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4
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Chemonges S, Gupta R, Mills PC, Kopp SR, Sadowski P. Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum. Proteome Sci 2017; 15:11. [PMID: 28615994 PMCID: PMC5466729 DOI: 10.1186/s12953-017-0119-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2016] [Accepted: 06/02/2017] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Unlike humans, there is currently no publicly available reference mass spectrometry-based circulating acellular proteome data for sheep, limiting the analysis and interpretation of a range of physiological changes and disease states. The objective of this study was to develop a robust and comprehensive method to characterise the circulating acellular proteome in ovine serum. METHODS Serum samples from healthy sheep were subjected to shotgun proteomic analysis using nano liquid chromatography nano electrospray ionisation tandem mass spectrometry (nanoLC-nanoESI-MS/MS) on a quadrupole time-of-flight instrument (TripleTOF® 5600+, SCIEX). Proteins were identified using ProteinPilot™ (SCIEX) and Mascot (Matrix Science) software based on a minimum of two unmodified highly scoring unique peptides per protein at a false discovery rate (FDR) of 1% software by searching a subset of the Universal Protein Resource Knowledgebase (UniProtKB) database (http://www.uniprot.org). PeptideShaker (CompOmics, VIB-UGent) searches were used to validate protein identifications from ProteinPilot™ and Mascot. RESULTS ProteinPilot™ and Mascot identified 245 and 379 protein groups (IDs), respectively, and PeptideShaker validated 133 protein IDs from the entire dataset. Since Mascot software is considered the industry standard and identified the most proteins, these were analysed using the Protein ANalysis THrough Evolutionary Relationships (PANTHER) classification tool revealing the association of 349 genes with 127 protein pathway hits. These data are available via ProteomeXchange with identifier PXD004989. CONCLUSIONS These results demonstrated for the first time the feasibility of characterising the ovine circulating acellular proteome using nanoLC-nanoESI-MS/MS. This peptide spectral data contributes to a protein library that can be used to identify a wide range of proteins in ovine serum.
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Affiliation(s)
- Saul Chemonges
- School of Veterinary Science, The University of Queensland, Gatton, Australia
| | - Rajesh Gupta
- Proteomics and Small Molecule Mass Spectrometry, Central Analytical Research Facility, Queensland University of Technology, Brisbane, Australia
| | - Paul C. Mills
- School of Veterinary Science, The University of Queensland, Gatton, Australia
| | - Steven R. Kopp
- School of Veterinary Science, The University of Queensland, Gatton, Australia
| | - Pawel Sadowski
- Proteomics and Small Molecule Mass Spectrometry, Central Analytical Research Facility, Queensland University of Technology, Brisbane, Australia
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5
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Admoni-Elisha L, Nakdimon I, Shteinfer A, Prezma T, Arif T, Arbel N, Melkov A, Zelichov O, Levi I, Shoshan-Barmatz V. Novel Biomarker Proteins in Chronic Lymphocytic Leukemia: Impact on Diagnosis, Prognosis and Treatment. PLoS One 2016; 11:e0148500. [PMID: 27078856 PMCID: PMC4831809 DOI: 10.1371/journal.pone.0148500] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2015] [Accepted: 01/19/2016] [Indexed: 12/31/2022] Open
Abstract
In many cancers, cells undergo re-programming of metabolism, cell survival and anti-apoptotic defense strategies, with the proteins mediating this reprogramming representing potential biomarkers. Here, we searched for novel biomarker proteins in chronic lymphocytic leukemia (CLL) that can impact diagnosis, treatment and prognosis by comparing the protein expression profiles of peripheral blood mononuclear cells from CLL patients and healthy donors using specific antibodies, mass spectrometry and binary logistic regression analyses and other bioinformatics tools. Mass spectrometry (LC-HR-MS/MS) analysis identified 1,360 proteins whose expression levels were modified in CLL-derived lymphocytes. Some of these proteins were previously connected to different cancer types, including CLL, while four other highly expressed proteins were not previously reported to be associated with cancer, and here, for the first time, DDX46 and AK3 are linked to CLL. Down-regulation expression of two of these proteins resulted in cell growth inhibition. High DDX46 expression levels were associated with shorter survival of CLL patients and thus can serve as a prognosis marker. The proteins with modified expression include proteins involved in RNA splicing and translation and particularly mitochondrial proteins involved in apoptosis and metabolism. Thus, we focused on several metabolism- and apoptosis-modulating proteins, particularly on the voltage-dependent anion channel 1 (VDAC1), regulating both metabolism and apoptosis. Expression levels of Bcl-2, VDAC1, MAVS, AIF and SMAC/Diablo were markedly increased in CLL-derived lymphocytes. VDAC1 levels were highly correlated with the amount of CLL-cancerous CD19+/CD5+ cells and with the levels of all other apoptosis-modulating proteins tested. Binary logistic regression analysis demonstrated the ability to predict probability of disease with over 90% accuracy. Finally, based on the changes in the levels of several proteins in CLL patients, as revealed from LC-HR-MS/MS, we could distinguish between patients in a stable disease state and those who would be later transferred to anti-cancer treatments. The over-expressed proteins can thus serve as potential biomarkers for early diagnosis, prognosis, new targets for CLL therapy, and treatment guidance of CLL, forming the basis for personalized therapy.
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MESH Headings
- Aged
- Biomarkers, Tumor/blood
- Biomarkers, Tumor/genetics
- Blotting, Western
- Chromatography, Liquid
- Female
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/blood
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukocytes, Mononuclear/metabolism
- Male
- Prognosis
- Proteome/analysis
- RNA, Messenger/genetics
- Real-Time Polymerase Chain Reaction
- Reverse Transcriptase Polymerase Chain Reaction
- Tandem Mass Spectrometry/methods
- Tumor Cells, Cultured
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Affiliation(s)
- Lee Admoni-Elisha
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Itay Nakdimon
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Anna Shteinfer
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Tal Prezma
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Tasleem Arif
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Nir Arbel
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Anna Melkov
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Ori Zelichov
- Department of Hematology, Soroka University Medical Center and the Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Itai Levi
- Department of Hematology, Soroka University Medical Center and the Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Varda Shoshan-Barmatz
- Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer Sheva, Israel
- * E-mail:
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6
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Marino G, Eckhard U, Overall CM. Protein Termini and Their Modifications Revealed by Positional Proteomics. ACS Chem Biol 2015; 10:1754-64. [PMID: 26042555 DOI: 10.1021/acschembio.5b00189] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
A myriad of co- and post-translational modifications occur at protein N- and C-termini, resulting in an extra layer of proteome complexity and an additional source of protein regulation. Here, we review N- and C-terminal modifications and the contemporary positional proteomics techniques used to isolate protein terminal peptides from complex protein mixtures and characterize their diversity and occurrence in biological systems. Furthermore, these degradomics strategies--often referred to as N- and C-terminomics--represent dedicated high-throughput techniques to study proteolysis in dynamic living systems. Over the past decade, terminomics studies have provided indispensable information on the functional states of individual proteins, cell types, tissues, and biological processes and delivered fundamental new data for the Human Proteome Project, including high confidence identifications of many so-called "missing proteins", which had not been identified by traditional proteomics analyses.
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Affiliation(s)
- Giada Marino
- Centre
for Blood Research, Department of Oral Biological and Medical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ulrich Eckhard
- Centre
for Blood Research, Department of Oral Biological and Medical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher M. Overall
- Centre
for Blood Research, Department of Oral Biological and Medical Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- Department
of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, British Columbia, Canada
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7
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Lai ZW, Gomez-Auli A, Keller EJ, Mayer B, Biniossek ML, Schilling O. Enrichment of protein N-termini by charge reversal of internal peptides. Proteomics 2015; 15:2470-8. [DOI: 10.1002/pmic.201500023] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Revised: 04/01/2015] [Accepted: 05/21/2015] [Indexed: 01/18/2023]
Affiliation(s)
- Zon W. Lai
- Institute of Molecular Medicine and Cell Research; University of Freiburg; Freiburg Germany
| | - Alejandro Gomez-Auli
- Institute of Molecular Medicine and Cell Research; University of Freiburg; Freiburg Germany
- Faculty of Biology; University of Freiburg; Freiburg Germany
- Spemann Graduate School of Biology and Medicine; University of Freiburg; Freiburg Germany
| | - Eva J. Keller
- Institute of Molecular Medicine and Cell Research; University of Freiburg; Freiburg Germany
| | - Bettina Mayer
- Institute of Molecular Medicine and Cell Research; University of Freiburg; Freiburg Germany
| | - Martin L. Biniossek
- Institute of Molecular Medicine and Cell Research; University of Freiburg; Freiburg Germany
| | - Oliver Schilling
- Institute of Molecular Medicine and Cell Research; University of Freiburg; Freiburg Germany
- Spemann Graduate School of Biology and Medicine; University of Freiburg; Freiburg Germany
- BIOSS Centre for Biological Signaling Studies; University of Freiburg; Freiburg Germany
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8
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Hartmann EM, Armengaud J. N-terminomics and proteogenomics, getting off to a good start. Proteomics 2014; 14:2637-46. [PMID: 25116052 DOI: 10.1002/pmic.201400157] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Revised: 04/23/2014] [Accepted: 08/08/2014] [Indexed: 12/11/2022]
Abstract
Proteogenomics consists of the annotation or reannotation of protein-coding nucleic acid sequences based on the empirical observation of their gene products. While functional annotation of predicted genes is increasingly feasible given the multiplicity of genomes available for many branches of the tree of life, the accurate annotation of the translational start sites is still a point of contention. Extensive coverage of the proteome, including specifically the N-termini, is now possible, thanks to next-generation mass spectrometers able to record data from thousands of proteins at once. Efforts to increase the peptide coverage of protein sequences and to detect low abundance proteins are important to make proteomic and proteogenomic studies more comprehensive. In this review, we present the panoply of N-terminus-oriented strategies that have been developed over the last decade.
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Affiliation(s)
- Erica M Hartmann
- Biology and the Built Environment Center, Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA
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9
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Li Z, Dilger JM, Pejaver V, Smiley D, Arnold RJ, Mooney SD, Mukhopadhyay S, Radivojac P, Clemmer DE. Intrinsic Size Parameters for Palmitoylated and Carboxyamidomethylated Peptides. INTERNATIONAL JOURNAL OF MASS SPECTROMETRY 2014; 368:6-14. [PMID: 26023288 PMCID: PMC4443490 DOI: 10.1016/j.ijms.2014.04.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Cross sections for 61 palmitoylated peptides and 73 cysteine-unmodified peptides are determined and used together with a previously obtained tryptic peptide library to derive a set of intrinsic size parameters (ISPs) for the palmitoyl (Pal) group (1.26 ± 0.04), carboxyamidomethyl (Am) group (0.92 ± 0.04), and the 20 amino acid residues to assess the influence of Pal- and Am-modification on cysteine and other amino acid residues. These values highlight the influence of the intrinsic hydrophobic and hydrophilic nature of these modifications on the overall cross sections. As a part of this analysis, we find that ISPs derived from a database of a modifier on one amino acid residue (CysPal) can be applied on the same modification group on different amino acid residues (SerPal and TyrPal). Using these ISP values, we are able to calculate peptide cross sections to within ± 2% of experimental values for 83% of Pal-modified peptide ions and 63% of Am-modified peptide ions. We propose that modification groups should be treated as individual contribution factors, instead of treating the combination of the particular group and the amino acid residue they are on as a whole when considering their effects on the peptide ion mobility features.
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Affiliation(s)
- Zhiyu Li
- Department of Chemistry, Indiana University, Bloomington, IN 47405
| | | | - Vikas Pejaver
- Department of Computer Science and Informatics, Indiana University, Bloomington, IN 47405
| | - David Smiley
- Department of Chemistry, Indiana University, Bloomington, IN 47405
| | - Randy J Arnold
- Department of Chemistry, Indiana University, Bloomington, IN 47405
| | - Sean D Mooney
- Buck Institute for Research on Aging, Novato, CA 94945
| | | | - Predrag Radivojac
- Department of Computer Science and Informatics, Indiana University, Bloomington, IN 47405
| | - David E Clemmer
- Department of Chemistry, Indiana University, Bloomington, IN 47405
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10
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Pernemalm M, Lehtiö J. Mass spectrometry-based plasma proteomics: state of the art and future outlook. Expert Rev Proteomics 2014; 11:431-48. [PMID: 24661227 DOI: 10.1586/14789450.2014.901157] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Mass spectrometry-based plasma proteomics is a field where intense research has been performed during the last decade. Being closely linked to biomarker discovery, the field has received a fair amount of criticism, mostly due to the low number of novel biomarkers reaching the clinic. However, plasma proteomics is under gradual development with improvements on fractionation methods, mass spectrometry instrumentation and analytical approaches. These recent developments have contributed to the revival of plasma proteomics. The goal of this review is to summarize these advances, focusing in particular on fractionation methods, both for targeted and global mass spectrometry-based plasma analysis.
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Affiliation(s)
- Maria Pernemalm
- Karolinska Institutet, Science for Life Laboratory, Tomtebodavägen 23, 171 65, Solna, Sweden
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11
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Automated sample preparation platform for mass spectrometry-based plasma proteomics and biomarker discovery. BIOLOGY 2014; 3:205-19. [PMID: 24833342 PMCID: PMC4009759 DOI: 10.3390/biology3010205] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Revised: 01/31/2014] [Accepted: 02/27/2014] [Indexed: 11/17/2022]
Abstract
The identification of novel biomarkers from human plasma remains a critical need in order to develop and monitor drug therapies for nearly all disease areas. The discovery of novel plasma biomarkers is, however, significantly hampered by the complexity and dynamic range of proteins within plasma, as well as the inherent variability in composition from patient to patient. In addition, it is widely accepted that most soluble plasma biomarkers for diseases such as cancer will be represented by tissue leakage products, circulating in plasma at low levels. It is therefore necessary to find approaches with the prerequisite level of sensitivity in such a complex biological matrix. Strategies for fractionating the plasma proteome have been suggested, but improvements in sensitivity are often negated by the resultant process variability. Here we describe an approach using multidimensional chromatography and on-line protein derivatization, which allows for higher sensitivity, whilst minimizing the process variability. In order to evaluate this automated process fully, we demonstrate three levels of processing and compare sensitivity, throughput and reproducibility. We demonstrate that high sensitivity analysis of the human plasma proteome is possible down to the low ng/mL or even high pg/mL level with a high degree of technical reproducibility.
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12
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Yan H, Hao F, Cao Q, Li J, Li N, Tian F, Bai H, Ren X, Li X, Zhang Y, Qian X. A novel method for identification and relative quantification of N-terminal peptides using metal-element-chelated tags coupled with mass spectrometry. Sci China Chem 2014. [DOI: 10.1007/s11426-013-5049-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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13
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Butler GS, Overall CM. Matrix metalloproteinase processing of signaling molecules to regulate inflammation. Periodontol 2000 2013; 63:123-48. [DOI: 10.1111/prd.12035] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2013] [Indexed: 12/12/2022]
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14
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Rogers LD, Overall CM. Proteolytic post-translational modification of proteins: proteomic tools and methodology. Mol Cell Proteomics 2013; 12:3532-42. [PMID: 23887885 DOI: 10.1074/mcp.m113.031310] [Citation(s) in RCA: 112] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Proteolytic processing is a ubiquitous and irreversible post-translational modification involving limited and highly specific hydrolysis of peptide and isopeptide bonds of a protein by a protease. Cleavage generates shorter protein chains displaying neo-N and -C termini, often with new or modified biological activities. Within the past decade, degradomics and terminomics have emerged as significant proteomics subfields dedicated to characterizing proteolysis products as well as natural protein N and C termini. Here we provide an overview of contemporary proteomics-based methods, including specific quantitation, data analysis, and curation considerations, and highlight exciting new and emerging applications within these fields enabling in vivo analysis of proteolytic events.
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Affiliation(s)
- Lindsay D Rogers
- Department of Biochemistry and Molecular Biology, Department of Oral Biological and Medical Sciences, and Centre for Blood Research, University of British Columbia, 4.401 Life Sciences Institute, 2350 Health Sciences Mall, Vancouver, British Columbia, V6T 1Z3, Canada
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15
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van de Waterbeemd B, Mommen GPM, Pennings JLA, Eppink MH, Wijffels RH, van der Pol LA, de Jong APJM. Quantitative Proteomics Reveals Distinct Differences in the Protein Content of Outer Membrane Vesicle Vaccines. J Proteome Res 2013; 12:1898-908. [DOI: 10.1021/pr301208g] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Geert P. M. Mommen
- Institute for Translational Vaccinology (Intravacc), Bilthoven, The Netherlands
- Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, The Netherlands
- Netherlands Proteomics Centre, The Netherlands
| | - Jeroen L. A. Pennings
- National Institute for Public
Health and the Environment, Centre for Health Protection Research, Bilthoven, The Netherlands
| | | | | | - Leo A. van der Pol
- Institute for Translational Vaccinology (Intravacc), Bilthoven, The Netherlands
| | - Ad P. J. M. de Jong
- Institute for Translational Vaccinology (Intravacc), Bilthoven, The Netherlands
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