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Wang J, Tan H, Fu Y, Mishra A, Sun H, Wang Z, Wu Z, Wang X, Serrano GE, Beach TG, Peng J, High AA. Evaluation of Protein Identification and Quantification by the diaPASEF Method on timsTOF SCP. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:1253-1260. [PMID: 38754071 DOI: 10.1021/jasms.4c00067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
Accurate and precise quantification is crucial in modern proteomics, particularly in the context of exploring low-amount samples. While the innovative 4D-data-independent acquisition (DIA) quantitative proteomics facilitated by timsTOF mass spectrometers gives enhanced sensitivity and selectivity for protein identification, the diaPASEF (parallel accumulation-serial fragmentation combined with data-independent acquisition) parameters have not been systematically optimized, and a comprehensive evaluation of the quantification is currently lacking. In this study, we conducted a thorough optimization of key parameters on a timsTOF SCP instrument, including sample loading amount (50 ng), ramp/accumulation time (140 ms), isolation window width (20 m/z), and gradient time (60 min). To further improve the identification of proteins in low-amount samples, we utilized different column settings and introduced 0.02% n-dodecyl-β-d-maltoside (DDM) in the sample reconstitution solution, resulting in a remarkable 19-fold increase in protein identification at the single-cell-equivalent level. Moreover, a comprehensive comparison of protein quantification using a tandem mass tag reporter (TMT-reporter), complement TMT ions (TMTc), and diaPASEF revealed a strong correlation between these methods. Both diaPASEF and TMTc have effectively addressed the issue of ratio compression, highlighting the diaPASEF method's effectiveness in achieving accurate quantification data compared to TMT reporter quantification. Additionally, an in-depth analysis of in-group variation positioned diaPASEF between the TMT-reporter and TMTc methods. Therefore, diaPASEF quantification on the timsTOF SCP instrument emerges as a precise and accurate methodology for quantitative proteomics, especially for samples with small amounts.
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Affiliation(s)
- Ju Wang
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Haiyan Tan
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Yingxue Fu
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Ashutosh Mishra
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Huan Sun
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Zhen Wang
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Zhiping Wu
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Xusheng Wang
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Geidy E Serrano
- Banner Sun Health Research Institute, Sun City, Arizona 85351, United States
| | - Thomas G Beach
- Banner Sun Health Research Institute, Sun City, Arizona 85351, United States
| | - Junmin Peng
- Departments of Structural Biology and Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
| | - Anthony A High
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, United States
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Baerenfaenger M, Post MA, Zijlstra F, van Gool AJ, Lefeber DJ, Wessels HJCT. Maximizing Glycoproteomics Results through an Integrated Parallel Accumulation Serial Fragmentation Workflow. Anal Chem 2024; 96:8956-8964. [PMID: 38776126 PMCID: PMC11154686 DOI: 10.1021/acs.analchem.3c05874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/10/2024] [Accepted: 05/11/2024] [Indexed: 06/05/2024]
Abstract
Glycoproteins play important roles in numerous physiological processes and are often implicated in disease. Analysis of site-specific protein glycobiology through glycoproteomics has evolved rapidly in recent years thanks to hardware and software innovations. Particularly, the introduction of parallel accumulation serial fragmentation (PASEF) on hybrid trapped ion mobility time-of-flight mass spectrometry instruments combined deep proteome sequencing with separation of (near-)isobaric precursor ions or converging isotope envelopes through ion mobility separation. However, the reported use of PASEF in integrated glycoproteomics workflows to comprehensively capture the glycoproteome is still limited. To this end, we developed an integrated methodology using timsTOF Pro 2 to enhance N-glycopeptide identifications in complex mixtures. We systematically optimized the ion optics tuning, collision energies, mobility isolation width, and the use of dopant-enriched nitrogen gas (DEN). Thus, we obtained a marked increase in unique glycopeptide identification rates compared to standard proteomics settings, showcasing our results on a large set of glycopeptides. With short liquid chromatography gradients of 30 min, we increased the number of unique N-glycopeptide identifications in human plasma samples from around 100 identifications under standard proteomics conditions to up to 1500 with our optimized glycoproteomics approach, highlighting the need for tailored optimizations to obtain comprehensive data.
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Affiliation(s)
- Melissa Baerenfaenger
- Department
of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
- Division
of BioAnalytical Chemistry, AIMMS Amsterdam Institute of Molecular
and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam 1081 HZ, Netherlands
| | - Merel A. Post
- Department
of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Fokje Zijlstra
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Alain J. van Gool
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Dirk J. Lefeber
- Department
of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
| | - Hans J. C. T. Wessels
- Translational
Metabolic Laboratory, Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525 GA, Netherlands
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3
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Gomaa B, Lu J, Abdelhamed H, Banes M, Pechanova O, Pechan T, Arick MA, Karsi A, Lawrence ML. Identification of Protein Biomarkers for Differentiating Listeria monocytogenes Genetic Lineage III. Foods 2024; 13:1302. [PMID: 38731673 PMCID: PMC11083783 DOI: 10.3390/foods13091302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/17/2024] [Accepted: 04/19/2024] [Indexed: 05/13/2024] Open
Abstract
Listeria monocytogenes is the causative agent of listeriosis, a severe foodborne illness characterized by septicemia, meningitis, encephalitis, abortions, and occasional death in infants and immunocompromised individuals. L. monocytogenes is composed of four genetic lineages (I, II, III, and IV) and fourteen serotypes. The aim of the current study was to identify proteins that can serve as biomarkers for detection of genetic lineage III strains based on simple antibody-based methods. Liquid chromatography (LC) with electrospray ionization tandem mass spectrometry (ESI MS/MS) followed by bioinformatics and computational analysis were performed on three L. monocytogenes strains (NRRL B-33007, NRRL B-33014, and NRRL B-33077), which were used as reference strains for lineages I, II, and III, respectively. Results from ESI MS/MS revealed 42 unique proteins present in NRRL B-33077 and absent in NRRL B-33007 and NRRL B-33014 strains. BLAST analysis of the 42 proteins against a broader panel of >80 sequenced strains from lineages I and II revealed four proteins [TM2 domain-containing protein (NRRL B-33077_2770), DUF3916 domain-containing protein (NRRL B-33077_1897), DNA adenine methylase (NRRL B-33077_1926), and protein RhsA (NRRL B-33077_1129)] that have no homology with any sequenced strains in lineages I and II. The four genes that encode these proteins were expressed in Escherichia coli strain DE3 and purified. Polyclonal antibodies were prepared against purified recombinant proteins. ELISA using the polyclonal antibodies against 12 L. monocytogenes lineage I, II, and III isolates indicated that TM2 protein and DNA adenine methylase (Dam) detected all lineage III strains with no reaction to lineage I and II strains. In conclusion, two proteins including TM2 protein and Dam are potentially useful biomarkers for detection and differentiation of L. monocytogenes lineage III strains in clinical, environmental, and food processing facilities. Furthermore, these results validate the approach of using a combination of proteomics and bioinformatics to identify useful protein biomarkers.
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Affiliation(s)
- Basant Gomaa
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA; (B.G.); (J.L.); (H.A.); (M.B.); (A.K.)
| | - Jingjun Lu
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA; (B.G.); (J.L.); (H.A.); (M.B.); (A.K.)
| | - Hossam Abdelhamed
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA; (B.G.); (J.L.); (H.A.); (M.B.); (A.K.)
| | - Michelle Banes
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA; (B.G.); (J.L.); (H.A.); (M.B.); (A.K.)
| | - Olga Pechanova
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA; (O.P.); (T.P.); (M.A.A.II)
| | - Tibor Pechan
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA; (O.P.); (T.P.); (M.A.A.II)
| | - Mark A. Arick
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA; (O.P.); (T.P.); (M.A.A.II)
| | - Attila Karsi
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA; (B.G.); (J.L.); (H.A.); (M.B.); (A.K.)
| | - Mark L. Lawrence
- Department of Comparative Biomedical Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA; (B.G.); (J.L.); (H.A.); (M.B.); (A.K.)
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Matzinger M, Mayer RL, Mechtler K. Label-free single cell proteomics utilizing ultrafast LC and MS instrumentation: A valuable complementary technique to multiplexing. Proteomics 2023; 23:e2200162. [PMID: 36806919 PMCID: PMC10909491 DOI: 10.1002/pmic.202200162] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/21/2023]
Abstract
The ability to map a proteomic fingerprint to transcriptomic data would master the understanding of how gene expression translates into actual phenotype. In contrast to nucleic acid sequencing, in vitro protein amplification is impossible and no single cell proteomic workflow has been established as gold standard yet. Advances in microfluidic sample preparation, multi-dimensional sample separation, sophisticated data acquisition strategies, and intelligent data analysis algorithms have resulted in major improvements to successfully analyze such tiny sample amounts with steadily boosted performance. However, among the broad variation of published approaches, it is commonly accepted that highest possible sensitivity, robustness, and throughput are still the most urgent needs for the field. While many labs have focused on multiplexing to achieve these goals, label-free SCP is a highly promising strategy as well whenever high dynamic range and unbiased accurate quantification are needed. We here focus on recent advances in label-free single-cell mass spectrometry workflows and try to guide our readers to choose the best method or combinations of methods for their specific applications. We further highlight which techniques are most propitious in the future and which applications but also limitations we foresee for the field.
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Affiliation(s)
- Manuel Matzinger
- Research Institute of Molecular Pathology (IMP)Vienna BioCenterViennaAustria
| | - Rupert L. Mayer
- Research Institute of Molecular Pathology (IMP)Vienna BioCenterViennaAustria
| | - Karl Mechtler
- Research Institute of Molecular Pathology (IMP)Vienna BioCenterViennaAustria
- Gregor Mendel Institute of Molecular Plant Biology (GMI), Austrian Academy of SciencesVienna BioCenter (VBC)ViennaAustria
- Institute of Molecular Biotechnology (IMBA), Austrian Academy of SciencesVienna BioCenter (VBC)ViennaAustria
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5
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Hollerbach AL, Ibrahim YM, Meras V, Norheim RV, Huntley AP, Anderson GA, Metz TO, Ewing RG, Smith RD. A Dual-Gated Structures for Lossless Ion Manipulations-Ion Mobility Orbitrap Mass Spectrometry Platform for Combined Ultra-High-Resolution Molecular Analysis. Anal Chem 2023. [PMID: 37307303 DOI: 10.1021/acs.analchem.3c00881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
High-resolution ion mobility spectrometry-mass spectrometry (HR-IMS-MS) instruments have enormously advanced the ability to characterize complex biological mixtures. Unfortunately, HR-IMS and HR-MS measurements are typically performed independently due to mismatches in analysis time scales. Here, we overcome this limitation by using a dual-gated ion injection approach to couple an 11 m path length structures for lossless ion manipulations (SLIM) module to a Q-Exactive Plus Orbitrap MS platform. The dual-gate setup was implemented by placing one ion gate before the SLIM module and a second ion gate after the module. The dual-gated ion injection approach allowed the new SLIM-Orbitrap platform to simultaneously perform an 11 m SLIM separation, Orbitrap mass analysis using the highest selectable mass resolution setting (up to 140 k), and high-energy collision-induced dissociation (HCD) in ∼25 min over an m/z range of ∼1500 amu. The SLIM-Orbitrap platform was initially characterized using a mixture of standard phosphazene cations and demonstrated an average SLIM CCS resolving power (RpCCS) of ∼218 and an SLIM peak capacity of ∼156, while simultaneously obtaining high mass resolutions. SLIM-Orbitrap analysis with fragmentation was then performed on mixtures of standard peptides and two reverse peptides (SDGRG1+, GRGDS1+, and RpCCS = 305) to demonstrate the utility of combined HR-IMS-MS/MS measurements for peptide identification. Our new HR-IMS-MS/MS capability was further demonstrated by analyzing a complex lipid mixture and showcasing SLIM separations on isobaric lipids. This new SLIM-Orbitrap platform demonstrates a critical new capability for proteomics and lipidomics applications, and the high-resolution multimodal data obtained using this system establish the foundation for reference-free identification of unknown ion structures.
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Affiliation(s)
- Adam L Hollerbach
- Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
| | - Yehia M Ibrahim
- Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
| | - Vanessa Meras
- Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
| | - Randolph V Norheim
- Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
| | - Adam P Huntley
- Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
| | - Gordon A Anderson
- GAA Custom Engineering, LLC, Benton City, Washington 99320, United States
| | - Thomas O Metz
- Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
| | - Robert G Ewing
- Nuclear, Chemistry & Biology Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, Richland, Washington 99354, United States
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6
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Lenčo J, Jadeja S, Naplekov DK, Krokhin OV, Khalikova MA, Chocholouš P, Urban J, Broeckhoven K, Nováková L, Švec F. Reversed-Phase Liquid Chromatography of Peptides for Bottom-Up Proteomics: A Tutorial. J Proteome Res 2022; 21:2846-2892. [PMID: 36355445 DOI: 10.1021/acs.jproteome.2c00407] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The performance of the current bottom-up liquid chromatography hyphenated with mass spectrometry (LC-MS) analyses has undoubtedly been fueled by spectacular progress in mass spectrometry. It is thus not surprising that the MS instrument attracts the most attention during LC-MS method development, whereas optimizing conditions for peptide separation using reversed-phase liquid chromatography (RPLC) remains somewhat in its shadow. Consequently, the wisdom of the fundaments of chromatography is slowly vanishing from some laboratories. However, the full potential of advanced MS instruments cannot be achieved without highly efficient RPLC. This is impossible to attain without understanding fundamental processes in the chromatographic system and the properties of peptides important for their chromatographic behavior. We wrote this tutorial intending to give practitioners an overview of critical aspects of peptide separation using RPLC to facilitate setting the LC parameters so that they can leverage the full capabilities of their MS instruments. After briefly introducing the gradient separation of peptides, we discuss their properties that affect the quality of LC-MS chromatograms the most. Next, we address the in-column and extra-column broadening. The last section is devoted to key parameters of LC-MS methods. We also extracted trends in practice from recent bottom-up proteomics studies and correlated them with the current knowledge on peptide RPLC separation.
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Affiliation(s)
- Juraj Lenčo
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203/8, 500 05Hradec Králové, Czech Republic
| | - Siddharth Jadeja
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203/8, 500 05Hradec Králové, Czech Republic
| | - Denis K Naplekov
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203/8, 500 05Hradec Králové, Czech Republic
| | - Oleg V Krokhin
- Department of Internal Medicine, Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, 799 JBRC, 715 McDermot Avenue, WinnipegR3E 3P4, Manitoba, Canada
| | - Maria A Khalikova
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203/8, 500 05Hradec Králové, Czech Republic
| | - Petr Chocholouš
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203/8, 500 05Hradec Králové, Czech Republic
| | - Jiří Urban
- Department of Chemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00Brno, Czech Republic
| | - Ken Broeckhoven
- Department of Chemical Engineering (CHIS), Faculty of Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050Brussel, Belgium
| | - Lucie Nováková
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203/8, 500 05Hradec Králové, Czech Republic
| | - František Švec
- Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Heyrovského 1203/8, 500 05Hradec Králové, Czech Republic
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7
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Stejskal K, Jeff ODB, Matzinger M, Dürnberger G, Boychenko A, Jacobs P, Mechtler K. Deep Proteome Profiling with Reduced Carryover Using Superficially Porous Microfabricated nanoLC Columns. Anal Chem 2022; 94:15930-15938. [PMID: 36356180 PMCID: PMC9685595 DOI: 10.1021/acs.analchem.2c01196] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
![]()
In the field of liquid chromatography–mass spectrometry
(LC–MS)-based proteomics, increases in the sampling depth and
proteome coverage have mainly been accomplished by rapid advances
in mass spectrometer technology. The comprehensiveness and quality
of the data that can be generated do, however, also depend on the
performance provided by nano-liquid chromatography (nanoLC) separations.
Proper selection of reversed-phase separation columns can be important
to provide the MS instrument with peptides at the highest possible
concentration and separated at the highest possible resolution. In
the current contribution, we evaluate the use of the prototype generation
2 μPAC nanoLC columns, which use C18-functionalized superficially
porous micropillars as a stationary phase. When compared to traditionally
used fully porous silica stationary phases, more precursors could
be characterized when performing single shot data-dependent LC–MS/MS
analyses of a human cell line tryptic digest. Up to 30% more protein
groups and 60% more unique peptides were identified for short gradients
(10 min) and limited sample amounts (10–100 ng of cell lysate
digest). With LC–MS gradient times of 10, 60, 120, and 180
min, respectively, we identified 2252, 6513, 7382, and 8174 protein
groups with 25, 500, 1000, and 2000 ng of the sample loaded on the
column. Reduction of sample carryover to the next run (up to 2 to
3%) and decreased levels of methionine oxidation (up to 3-fold) were
identified as additional figures of merit. When analyzing a disuccinimidyl
dibutyric urea-crosslinked synthetic library, 29 to 59 more unique
crosslinked peptides could be identified at an experimentally validated
false discovery rate of 1–2%.
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Affiliation(s)
- Karel Stejskal
- IMBA─Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
| | - Op de Beeck Jeff
- Thermo Fisher Scientific, Technologiepark-Zwijnaarde 82, B-9052 Gent, Belgium
| | - Manuel Matzinger
- IMP─Institute of Molecular Pathology, Campus-Vienna-Biocenter 1, A-1030 Vienna, Austria
| | - Gerhard Dürnberger
- Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
| | | | - Paul Jacobs
- Thermo Fisher Scientific, Technologiepark-Zwijnaarde 82, B-9052 Gent, Belgium
| | - Karl Mechtler
- IMP─Institute of Molecular Pathology, Campus-Vienna-Biocenter 1, A-1030 Vienna, Austria
- IMBA─Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
- Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
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A Comprehensive Study of Gradient Conditions for Deep Proteome Discovery in a Complex Protein Matrix. Int J Mol Sci 2022; 23:ijms231911714. [PMID: 36233016 PMCID: PMC9569591 DOI: 10.3390/ijms231911714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/28/2022] Open
Abstract
Bottom–up mass-spectrometry-based proteomics is a well-developed technology based on complex peptide mixtures from proteolytic cleavage of proteins and is widely applied in protein identification, characterization, and quantitation. A tims-ToF mass spectrometer is an excellent platform for bottom–up proteomics studies due to its rapid acquisition with high sensitivity. It remains challenging for bottom–up proteomics approaches to achieve 100% proteome coverage. Liquid chromatography (LC) is commonly used prior to mass spectrometry (MS) analysis to fractionate peptide mixtures, and the LC gradient can affect the peptide fractionation and proteome coverage. We investigated the effects of gradient type and time duration to find optimal gradient conditions. Five gradient types (linear, logarithm-like, exponent-like, stepwise, and step-linear), three different gradient lengths (22 min, 44 min, and 66 min), two sample loading amounts (100 ng and 200 ng), and two loading conditions (the use of trap column and no trap column) were studied. The effect of these chromatography variables on protein groups, peptides, and spectral counts using HeLa cell digests was explored. The results indicate that (1) a step-linear gradient performs best among the five gradient types studied; (2) the optimal gradient duration depends on protein sample loading amount; (3) the use of a trap column helps to enhance protein identification, especially low-abundance proteins; (4) MSFragger and PEAKS Studio have high similarity in protein group identification; (5) MSFragger identified more protein groups among the different gradient conditions compared to PEAKS Studio; and (6) combining results from both database search engines can expand identified protein groups by 9–11%.
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9
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Zheng R, Stejskal K, Pynn C, Mechtler K, Boychenko A. Deep Single-Shot NanoLC-MS Proteome Profiling with a 1500 Bar UHPLC System, Long Fully Porous Columns, and HRAM MS. J Proteome Res 2022; 21:2545-2551. [PMID: 36068014 PMCID: PMC9552226 DOI: 10.1021/acs.jproteome.2c00270] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
This study demonstrates how the latest ultrahigh-performance
liquid
chromatography (UHPLC) technology can be combined with high-resolution
accurate-mass (HRAM) mass spectrometry (MS) and long columns packed
with fully porous particles to improve bottom-up proteomics analysis
with nanoflow liquid chromatography–mass spectrometry (nanoLC-MS)
methods. The increased back pressures from the UHPLC system enabled
the use of 75 μm I.D. × 75 cm columns packed with 2 μm
particles at a typical 300 nL/min flow rate as well as elevated and
reduced flow rates. The constant pressure pump operation at 1500 bar
reduced sample loading and column washing/equilibration stages and
overall overhead time, which maximizes MS utilization time. The versatility
of flow rate optimization to balance the sensitivity, throughput with
sample loading amount, and capability of using longer gradients contributes
to a greater number of peptide and protein identifications for single-shot
bottom-up proteomics experiments. The routine proteome profiling and
precise quantification of >7000 proteins with single-shot nanoLC-MS
analysis open possibilities for large-scale discovery studies with
a deep dive into the protein level alterations. Data are available
via ProteomeXchange with identifier PXD035665.
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Affiliation(s)
- Runsheng Zheng
- Thermo Fisher Scientific, Dornierstrasse 4, 82110 Germering, Germany
| | - Karel Stejskal
- IMP─Institute of Molecular Pathology, Campus-Vienna-Biocenter 1, A-1030 Vienna, Austria.,IMBA─Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria.,Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
| | - Christopher Pynn
- Thermo Fisher Scientific, Dornierstrasse 4, 82110 Germering, Germany
| | - Karl Mechtler
- IMP─Institute of Molecular Pathology, Campus-Vienna-Biocenter 1, A-1030 Vienna, Austria.,IMBA─Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria.,Gregor Mendel Institute of Molecular Plant Biology of the Austrian Academy of Sciences, Dr. Bohr Gasse 3, A-1030 Vienna, Austria
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Wang C, Liang Y, Yang X, Zhong B, Zhang X, Zhao B, Liang Z, Zhang L, Zhang Y. Surface-Charged Hybrid Monolithic Column for MS-Compatible Peptide Separation with High Peak Capacity and Its Application in Proteomic Analysis. Anal Chem 2022; 94:9525-9529. [PMID: 35762876 DOI: 10.1021/acs.analchem.2c02084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
For bottom-up proteomics, peptide separation with high peak capacity under MS-compatible conditions is of vital significance to increase proteome coverage. Herein, a surface-charged ethane-bridged hybrid monolithic column was prepared based on the efficient ring-opening reaction of N-methyl-aza-2,2,4-trimethyl-silacyclopentane after C18-functionalization. The existence of secondary amino groups on the surface was beneficial to reduce the secondary interactions of silanol groups and increase peak capacity for peptide separation with MS-compatible mobile phases (e.g., using 0.1% FA as the mobile phase modifier). Such columns offered a 4-fold increase in peak capacity compared with ethane-bridged hybrid monolithic columns without surface charge modification. By a 100 cm length surface-charged ethane-bridged hybrid capillary column, high peak capacity of 700 was achieved within a 240 min gradient for the separation of Hela tryptic peptides with 0.1% FA-containing mobile phases, under the low backpressure of ∼200 bar. On average, 44493 ± 459 peptides corresponding to 5148 ± 47 proteins were identified from 750 ng Hela tryptic digests. Finally, the surface-charged ethane-bridged hybrid monolithic column was successfully applied in the quantitative proteomic analysis of dopaminergic neuron death model of N-methyl-4-phenylpyridinium iodide induced SH-SY5Y cells. These results demonstrated great promise of such surface-charged ethane-bridged hybrid monolithic columns for bottom-up proteomic analysis in complex samples.
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Affiliation(s)
- Chao Wang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu Liang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Xue Yang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bowen Zhong
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Xiaodan Zhang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Baofeng Zhao
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Zhen Liang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Lihua Zhang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Yukui Zhang
- CAS Key Lab of Separation Sciences for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
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11
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Mostafa ME, Grinias JP, Edwards JL. Evaluation of Nanospray Capillary LC-MS Performance for Metabolomic Analysis in Complex Biological Matrices. J Chromatogr A 2022; 1670:462952. [DOI: 10.1016/j.chroma.2022.462952] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 03/05/2022] [Accepted: 03/07/2022] [Indexed: 11/29/2022]
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12
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Lee H, Kim SI. Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases. Int J Mol Sci 2022; 23:ijms23042187. [PMID: 35216306 PMCID: PMC8878692 DOI: 10.3390/ijms23042187] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 01/27/2023] Open
Abstract
Rapid and precise diagnostic methods are required to control emerging infectious diseases effectively. Human body fluids are attractive clinical samples for discovering diagnostic targets because they reflect the clinical statuses of patients and most of them can be obtained with minimally invasive sampling processes. Body fluids are good reservoirs for infectious parasites, bacteria, and viruses. Therefore, recent clinical proteomics methods have focused on body fluids when aiming to discover human- or pathogen-originated diagnostic markers. Cutting-edge liquid chromatography-mass spectrometry (LC-MS)-based proteomics has been applied in this regard; it is considered one of the most sensitive and specific proteomics approaches. Here, the clinical characteristics of each body fluid, recent tandem mass spectroscopy (MS/MS) data-acquisition methods, and applications of body fluids for proteomics regarding infectious diseases (including the coronavirus disease of 2019 [COVID-19]), are summarized and discussed.
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Affiliation(s)
- Hayoung Lee
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute (KBSI), Ochang 28119, Korea;
- Bio-Analytical Science Division, University of Science and Technology (UST), Daejeon 34113, Korea
| | - Seung Il Kim
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute (KBSI), Ochang 28119, Korea;
- Bio-Analytical Science Division, University of Science and Technology (UST), Daejeon 34113, Korea
- Correspondence:
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13
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Proteomic Analysis of Tears and Conjunctival Cells Collected with Schirmer Strips Using timsTOF Pro: Preanalytical Considerations. Metabolites 2021; 12:metabo12010002. [PMID: 35050124 PMCID: PMC8778087 DOI: 10.3390/metabo12010002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/16/2021] [Accepted: 12/17/2021] [Indexed: 12/24/2022] Open
Abstract
This study aimed to investigate the human proteome profile of samples collected from whole (W) Schirmer strips (ScS) and their two parts—the bulb (B) and the rest of the strip (R)—with a comprehensive proteomic approach using a trapped ion mobility mass spectrometer, the timsTOF Pro. Eight ScS were collected from two healthy subjects at four different visits to be separated into three batches, i.e., 4W, 4B, and 4R. In total, 1582 proteins were identified in the W, B, and R batches. Among all identified proteins, binding proteins (43.4%) and those with catalytic activity (42.2%) constituted more than 80% of the molecular functions. The most represented biological processes were cellular processes (31.2%), metabolic processes (20.8%), and biological regulation (13.1%). Enzymes were the most represented protein class (41%), consisting mainly of hydrolases (47.5%), oxidoreductases (22.1%), and transferases (16.7%). The bulb (B), which is in contact with the conjunctiva, might collect both tear and cell proteins and therefore promote the identification of more proteins. Processing B and R separately before mass spectrometry (MS) analysis, combined with the high data acquisition speed and the addition of ion-mobility-based separation in the timsTOF Pro, can bring a new dimension to biomarker investigations of a limited sample such as tear fluid.
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14
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Anderson BG, Raskind A, Habra H, Kennedy RT, Evans CR. Modifying Chromatography Conditions for Improved Unknown Feature Identification in Untargeted Metabolomics. Anal Chem 2021; 93:15840-15849. [PMID: 34794310 PMCID: PMC10634695 DOI: 10.1021/acs.analchem.1c02149] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Untargeted metabolomics is an essential component of systems biology research, but it is plagued by a high proportion of detectable features not identified with a chemical structure. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments produce spectra that can be searched against databases to help identify or classify these unknowns, but many features do not generate spectra of sufficient quality to enable successful annotation. Here, we explore alterations to gradient length, mass loading, and rolling precursor ion exclusion parameters for reversed phase liquid chromatography (RPLC) and hydrophilic interaction liquid chromatography (HILIC) that improve compound identification performance for human plasma samples. A manual review of spectral matches from the HILIC data set was used to determine reasonable thresholds for search score and other metrics to enable semi-automated MS/MS data analysis. Compared to typical LC-MS/MS conditions, methods adapted for compound identification increased the total number of unique metabolites that could be matched to a spectral database from 214 to 2052. Following data alignment, 68.0% of newly identified features from the modified conditions could be detected and quantitated using a routine 20-min LC-MS run. Finally, a localized machine learning model was developed to classify the remaining unknowns and select a subset that shared spectral characteristics with successfully identified features. A total of 576 and 749 unidentified features in the HILIC and RPLC data sets were classified by the model as high-priority unknowns or higher-importance targets for follow-up analysis. Overall, our study presents a simple strategy to more deeply annotate untargeted metabolomics data for a modest additional investment of time and sample.
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Affiliation(s)
- Brady G. Anderson
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
| | - Alexander Raskind
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109
| | - Hani Habra
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109
| | - Robert T. Kennedy
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
- Department of Pharmacology, University of Michigan, Ann Arbor, MI 48109
| | - Charles R. Evans
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan, Ann Arbor MI 48109
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109
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15
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Kassem S, van der Pan K, de Jager AL, Naber BAE, de Laat IF, Louis A, van Dongen JJM, Teodosio C, Díez P. Proteomics for Low Cell Numbers: How to Optimize the Sample Preparation Workflow for Mass Spectrometry Analysis. J Proteome Res 2021; 20:4217-4230. [PMID: 34328739 PMCID: PMC8419858 DOI: 10.1021/acs.jproteome.1c00321] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Indexed: 12/20/2022]
Abstract
Nowadays, massive genomics and transcriptomics data can be generated at the single-cell level. However, proteomics in this setting is still a big challenge. Despite the great improvements in sensitivity and performance of mass spectrometry instruments and the better knowledge on sample preparation processing, it is widely acknowledged that multistep proteomics workflows may lead to substantial sample loss, especially when working with paucicellular samples. Still, in clinical fields, frequently limited sample amounts are available for downstream analysis, thereby hampering comprehensive characterization at protein level. To aim at better protein and peptide recoveries, we compare existing and novel approaches in the multistep sample preparation protocols for mass spectrometry studies, from sample collection, cell lysis, protein quantification, and electrophoresis/staining to protein digestion, peptide recovery, and LC-MS/MS instruments. From this critical evaluation, we conclude that the recent innovations and technologies, together with high quality management of samples, make proteomics on paucicellular samples possible, which will have immediate impact for the proteomics community.
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Affiliation(s)
- Sara Kassem
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Kyra van der Pan
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Anniek L. de Jager
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Brigitta A. E. Naber
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Inge F. de Laat
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Alesha Louis
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Jacques J. M. van Dongen
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Cristina Teodosio
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
| | - Paula Díez
- Department
of Immunology, Leiden University Medical
Center (LUMC), Albinusdreef 2, 2333ZA Leiden, Netherlands
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16
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Carbonara K, Andonovski M, Coorssen JR. Proteomes Are of Proteoforms: Embracing the Complexity. Proteomes 2021; 9:38. [PMID: 34564541 PMCID: PMC8482110 DOI: 10.3390/proteomes9030038] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 08/24/2021] [Accepted: 08/29/2021] [Indexed: 12/17/2022] Open
Abstract
Proteomes are complex-much more so than genomes or transcriptomes. Thus, simplifying their analysis does not simplify the issue. Proteomes are of proteoforms, not canonical proteins. While having a catalogue of amino acid sequences provides invaluable information, this is the Proteome-lite. To dissect biological mechanisms and identify critical biomarkers/drug targets, we must assess the myriad of proteoforms that arise at any point before, after, and between translation and transcription (e.g., isoforms, splice variants, and post-translational modifications [PTM]), as well as newly defined species. There are numerous analytical methods currently used to address proteome depth and here we critically evaluate these in terms of the current 'state-of-the-field'. We thus discuss both pros and cons of available approaches and where improvements or refinements are needed to quantitatively characterize proteomes. To enable a next-generation approach, we suggest that advances lie in transdisciplinarity via integration of current proteomic methods to yield a unified discipline that capitalizes on the strongest qualities of each. Such a necessary (if not revolutionary) shift cannot be accomplished by a continued primary focus on proteo-genomics/-transcriptomics. We must embrace the complexity. Yes, these are the hard questions, and this will not be easy…but where is the fun in easy?
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Affiliation(s)
| | | | - Jens R. Coorssen
- Faculties of Applied Health Sciences and Mathematics & Science, Departments of Health Sciences and Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada; (K.C.); (M.A.)
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17
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McIlvin MR, Saito MA. Online Nanoflow Two-Dimension Comprehensive Active Modulation Reversed Phase-Reversed Phase Liquid Chromatography High-Resolution Mass Spectrometry for Metaproteomics of Environmental and Microbiome Samples. J Proteome Res 2021; 20:4589-4597. [PMID: 34384028 DOI: 10.1021/acs.jproteome.1c00588] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Metaproteomics is a powerful analytical approach that can assess the functional capabilities deployed by microbial communities in both environmental and biomedical microbiome settings. Yet, the mass spectra resulting from these mixed biological communities are challenging to obtain due to the high number of low intensity peak features. The use of multiple dimensions of chromatographic separation prior to mass spectrometry analyses has been applied to proteomics previously but can require increased sampling handling and instrument time. Here, we demonstrate an automated online comprehensive active modulation two-dimensional liquid chromatography method for metaproteome sample analysis. A high pH PLRP-S column was used in the first dimension followed by low pH separation in the second dimension using dual modulating C18 traps and a C18 column. This method increased the number of unique peptides found in ocean metaproteome samples by more than 50% when compared to a one-dimension separation while using the same amount of sample and instrument time.
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Affiliation(s)
- Matthew R McIlvin
- Marine Chemistry and Geochemistry Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts 02563, United States
| | - Mak A Saito
- Marine Chemistry and Geochemistry Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts 02563, United States
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18
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Huang P, Liu C, Gao W, Chu B, Cai Z, Tian R. Synergistic optimization of Liquid Chromatography and Mass Spectrometry parameters on Orbitrap Tribrid mass spectrometer for high efficient data-dependent proteomics. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4653. [PMID: 32924238 DOI: 10.1002/jms.4653] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/09/2020] [Accepted: 07/16/2020] [Indexed: 06/11/2023]
Abstract
Steady improvement in Orbitrap-based mass spectrometry (MS) technologies has greatly advanced the peptide sequencing speed and depth. In-depth analysis of the performance of state-of-the-art MS and optimization of key parameters can improve sequencing efficiency. In this study, we first systematically compared the performance of two popular data-dependent acquisition approaches, with Orbitrap as the first-stage (MS1) mass analyzer and the same Orbitrap (high-high approach) or ion trap (high-low approach) as the second-stage (MS2) mass analyzer, on the Orbitrap Fusion mass spectrometer. High-high approach outperformed high-low approach in terms of better saturation of the scan cycle and higher MS2 identification rate. However, regardless of the acquisition method, there are still more than 60% of peptide features untargeted for MS2 scan. We then systematically optimized the MS parameters using the high-high approach. Increasing the isolation window in the high-high approach could facilitate faster scan speed, but decreased MS2 identification rate. On the contrary, increasing the injection time of MS2 scan could increase identification rate but decrease scan speed and the number of identified MS2 spectra. Dynamic exclusion time should be set properly according to the chromatography peak width. Furthermore, we found that the Orbitrap analyzer, rather than the analytical column, was easily saturated with higher loading amount, thus limited the dynamic range of MS1-based quantification. By using optimized parameters, 10 000 proteins and 110 000 unique peptides were identified by using 20 h of effective liquid chromatography (LC) gradient time. The study therefore illustrated the importance of synchronizing LC-MS precursor ion targeting, fragment ion detection, and chromatographic separation for high efficient data-dependent proteomics.
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Affiliation(s)
- Peiwu Huang
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, SAR, China
| | - Chao Liu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China
- Key Laboratory of Big Data-Based Precision Medicine, Beihang University, Ministry of Industry and Information Technology, Beijing, China
- Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China
| | - Weina Gao
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Bizhu Chu
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, SAR, China
| | - Ruijun Tian
- Department of Chemistry, Southern University of Science and Technology, Shenzhen, 518055, China
- Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China
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19
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Ma JYW, Sze YH, Bian JF, Lam TC. Critical role of mass spectrometry proteomics in tear biomarker discovery for multifactorial ocular diseases (Review). Int J Mol Med 2021; 47:83. [PMID: 33760148 PMCID: PMC7992922 DOI: 10.3892/ijmm.2021.4916] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 01/14/2021] [Indexed: 12/14/2022] Open
Abstract
The tear film is a layer of body fluid that maintains the homeostasis of the ocular surface. The superior accessibility of tears and the presence of a high concentration of functional proteins make tears a potential medium for the discovery of non-invasive biomarkers in ocular diseases. Recent advances in mass spectrometry (MS) have enabled determination of an in-depth proteome profile, improved sensitivity, faster acquisition speed, proven variety of acquisition methods, and identification of disease biomarkers previously lacking in the field of ophthalmology. The use of MS allows efficient discovery of tear proteins, generation of reproducible results, and, more importantly, determines changes of protein quantity and post-translation modifications in microliter samples. The present review compared techniques for tear collection, sample preparation, and acquisition applied for the discovery of tear protein markers in normal subjects and multifactorial conditions, including dry eye syndrome, diabetic retinopathy, thyroid eye disease and primary open-angle glaucoma, which require an early diagnosis for treatment. It also summarized the contribution of MS to early discovery by means of disease-related protein markers in tear fluid and the potential for transformation of the tear MS-based proteome to antibody-based assay for future clinical application.
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Affiliation(s)
- Jessica Yuen Wuen Ma
- Laboratory of Experimental Optometry, Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, P.R. China
| | - Ying Hon Sze
- Laboratory of Experimental Optometry, Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, P.R. China
| | - Jing Fang Bian
- Laboratory of Experimental Optometry, Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, P.R. China
| | - Thomas Chuen Lam
- Laboratory of Experimental Optometry, Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, P.R. China
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20
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Enhancing the power of liquid chromatography-Mass spectrometry for chemical fingerprinting of phytotoxins in the environment. J Chromatogr A 2021; 1642:462027. [PMID: 33714772 DOI: 10.1016/j.chroma.2021.462027] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/20/2021] [Accepted: 02/25/2021] [Indexed: 11/23/2022]
Abstract
Phytotoxins are plant secondary metabolites. They have recently been considered as chemicals of emerging concern (CECs) and there is a growing interest in their environmental fate and potential threat to public health. Dedicated target and non-target screening (NTS) analysis of phytotoxins in environmental samples are sparse, meanwhile phytotoxins are rarely detected in NTS-based analysis due to lack of an efficient methodology. Development of new analytical measurement methods is therefore highly needed. In this study, we for the first time investigated key parameters of reversed phase liquid chromatography-high resolution mass spectrometry (RPLC-HRMS) for five major classes of phytotoxins (alkaloids, steroids, terpenoids, flavonoids and aromatic polyketides) in environmental matrices; the investigation included analytical conditions which have not yet been explored by others, e.g. ionization at alkaline pH above 9. As the outcome we established a new analytical method for target/suspect screening and NTS of phytotoxins in the environment, which significantly improved the detection sensitivity with up to 40 times compared to previous methods, and enabled the discovery of over 30 phytotoxins in a NTS-based environmental study. We also observed that the negative ionization of phenols could be facilitated by the number of hydroxyl groups on the ring rather than their position of substitution. This study is of interest for a better fundamental understanding of the behavior of phytotoxins in LC-MS. Dedicated target/suspect screening and NTS methods will facilitate a better risk characterization of phytotoxins in the environment and stimulate implementation of new public regulation on phytotoxins.
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21
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Weng S, Wang M, Zhao Y, Ying W, Qian X. Optimised data-independent acquisition strategy recaptures the classification of early-stage hepatocellular carcinoma based on data-dependent acquisition. J Proteomics 2021; 238:104152. [PMID: 33609755 DOI: 10.1016/j.jprot.2021.104152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 01/21/2021] [Accepted: 02/08/2021] [Indexed: 12/27/2022]
Abstract
Proteomics is increasingly used for exploring disease biomarkers and therapeutic targets. The data-independent acquisition (DIA) method collects all peptide signals in a sample, and provides a convenient way to archive disease-related molecular features for further exploration. In this study, we first established a high-coverage human hepatocellular carcinoma (HCC) spectral library containing 9393 protein groups, 119,903 peptides. Furthermore, we optimised the DIA method with respect to four key parameters: settings for mass spectrometry acquisition, gradient length, amount of sample loading, and length of analytical column. More than 6000 proteins from HepG2 cells could be stably quantified using the optimised one-shot DIA approach with a 2 h gradient time. One-shot DIA identified a similar number of proteins as did multi-fraction data-dependent acquisition (DDA) from the same group of HCC samples, but at a quarter of the total acquisition time. DIA data could recapture the classification results obtained from DDA data, thus paving the way for large-scale, multi-centre proteomics analysis of clinical samples. SIGNIFICANCE: The organ-specific spectral library for HCC and the optimised 2 h DIA approach met the urgent demands for large-scale quantitative proteomics analysis of HCC clinical samples. Compared with multi-fraction-DDA, the optimised one-shot DIA could reach a similar identification while consuming shorter acquisition time, thus making it possible to analyse thousands of clinical samples.
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Affiliation(s)
- Shuang Weng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China
| | - Mingchao Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China
| | - Yingyi Zhao
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China
| | - Wantao Ying
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.
| | - Xiaohong Qian
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China.
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22
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Majuta SN, DeBastiani A, Li P, Valentine SJ. Combining Field-Enabled Capillary Vibrating Sharp-Edge Spray Ionization with Microflow Liquid Chromatography and Mass Spectrometry to Enhance 'Omics Analyses. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:473-485. [PMID: 33417454 PMCID: PMC8132193 DOI: 10.1021/jasms.0c00376] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Field-enabled capillary vibrating sharp-edge spray ionization (cVSSI) has been combined with high-flow liquid chromatography (LC) and mass spectrometry (MS) to establish current ionization capabilities for metabolomics and proteomics investigations. Comparisons are made between experiments employing cVSSI and a heated electrospray ionization probe representing the state-of-the-art in microflow LC-MS methods for 'omics studies. For metabolomics standards, cVSSI is shown to provide an ionization enhancement by factors of 4 ± 2 for both negative and positive ion mode analyses. For chymotryptic peptides, cVSSI is shown to provide an ionization enhancement by factors of 5 ± 2 and 2 ± 1 for negative and positive ion mode analyses, respectively. Slightly broader high-performance liquid chromatography peaks are observed in the cVSSI datasets, and several studies suggest that this results from a slightly decreased post-split flow rate. This may result from partial obstruction of the pulled-tip emitter over time. Such a challenge can be remedied with the use of LC pumps that operate in the 10 to 100 μL·min-1 flow regime. At this early stage, the proof-of-principle studies already show ion signal advantages over state-of-the-art electrospray ionization (ESI) for a wide variety of analytes in both positive and negative ion mode. Overall, this represents a ∼20-50-fold improvement over the first demonstration of LC-MS analyses by voltage-free cVSSI. Separate comparisons of the ion abundances of compounds eluting under identical solvent conditions reveal ionization efficiency differences between cVSSI and ESI and may suggest varied contributions to ionization from different physicochemical properties of the compounds. Future investigations of parameters that could further increase ionization gains in negative and positive ion mode analyses with the use of cVSSI are briefly presented.
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Affiliation(s)
- Sandra N. Majuta
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown WV 26501
| | - Anthony DeBastiani
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown WV 26501
| | - Peng Li
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown WV 26501
| | - Stephen J. Valentine
- C. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown WV 26501
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23
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Jayathirtha M, Dupree EJ, Manzoor Z, Larose B, Sechrist Z, Neagu AN, Petre BA, Darie CC. Mass Spectrometric (MS) Analysis of Proteins and Peptides. Curr Protein Pept Sci 2020; 22:92-120. [PMID: 32713333 DOI: 10.2174/1389203721666200726223336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023]
Abstract
The human genome is sequenced and comprised of ~30,000 genes, making humans just a little bit more complicated than worms or flies. However, complexity of humans is given by proteins that these genes code for because one gene can produce many proteins mostly through alternative splicing and tissue-dependent expression of particular proteins. In addition, post-translational modifications (PTMs) in proteins greatly increase the number of gene products or protein isoforms. Furthermore, stable and transient interactions between proteins, protein isoforms/proteoforms and PTM-ed proteins (protein-protein interactions, PPI) add yet another level of complexity in humans and other organisms. In the past, all of these proteins were analyzed one at the time. Currently, they are analyzed by a less tedious method: mass spectrometry (MS) for two reasons: 1) because of the complexity of proteins, protein PTMs and PPIs and 2) because MS is the only method that can keep up with such a complex array of features. Here, we discuss the applications of mass spectrometry in protein analysis.
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Affiliation(s)
- Madhuri Jayathirtha
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Emmalyn J Dupree
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zaen Manzoor
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Brianna Larose
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zach Sechrist
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania
| | - Brindusa Alina Petre
- Laboratory of Biochemistry, Department of Chemistry, Al. I. Cuza University of Iasi, Iasi, Romania, Center for Fundamental Research and Experimental Development in Translation Medicine - TRANSCEND, Regional Institute of Oncology, Iasi, Romania
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
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24
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Anderson J, Phelan MM, Rubio-Martinez LM, Fitzgerald MM, Jones SW, Clegg PD, Peffers MJ. Optimization of Synovial Fluid Collection and Processing for NMR Metabolomics and LC-MS/MS Proteomics. J Proteome Res 2020; 19:2585-2597. [PMID: 32227958 PMCID: PMC7341532 DOI: 10.1021/acs.jproteome.0c00035] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Synovial fluid (SF) is of great interest for the investigation of orthopedic pathologies, as it is in close proximity to various tissues that are primarily altered during these disease processes and can be collected using minimally invasive protocols. Multi-"omic" approaches are commonplace, although little consideration is often given for multiple analysis techniques at sample collection. Nuclear magnetic resonance (NMR) metabolomics and liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics are two complementary techniques particularly suited to the study of SF. However, currently there are no agreed upon standard protocols that are published for SF collection and processing for use with NMR metabolomic analysis. Furthermore, the large protein concentration dynamic range present within SF can mask the detection of lower abundance proteins in proteomics. While combinational ligand libraries (ProteoMiner columns) have been developed to reduce this dynamic range, their reproducibility when used in conjunction with SF, or on-bead protein digestion protocols, has yet to be investigated. Here we employ optimized protocols for the collection, processing, and storage of SF for NMR metabolite analysis and LC-MS/MS proteome analysis, including a Lys-C endopeptidase digestion step prior to tryptic digestion, which increased the number of protein identifications and improved reproducibility for on-bead ProteoMiner digestion.
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Affiliation(s)
- James
R. Anderson
- Institute
of Ageing and Chronic Disease, University
of Liverpool, Liverpool L69 3BX, U.K.
| | - Marie M. Phelan
- Institute
of Integrative Biology, University of Liverpool, Liverpool L69 3BX, U.K.,HLS
Technology Directorate, University of Liverpool, Liverpool L69 3BX, U.K.
| | - Luis M. Rubio-Martinez
- Institute
of Ageing and Chronic Disease, University
of Liverpool, Liverpool L69 3BX, U.K.,Institute
of Veterinary Science, University of Liverpool, Leahurst Campus, Neston CH64 7TE, U.K.
| | - Matthew M. Fitzgerald
- Institute
of Veterinary Science, University of Liverpool, Leahurst Campus, Neston CH64 7TE, U.K.
| | - Simon W. Jones
- Institute
of Inflammation and Ageing, University of
Birmingham, Birmingham B15 2TT, U.K.
| | - Peter D. Clegg
- Institute
of Ageing and Chronic Disease, University
of Liverpool, Liverpool L69 3BX, U.K.
| | - Mandy J. Peffers
- Institute
of Ageing and Chronic Disease, University
of Liverpool, Liverpool L69 3BX, U.K.,. Tel: 07872692102
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25
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Ma J, Kilby GW. Sensitive, Rapid, Robust, and Reproducible Workflow for Host Cell Protein Profiling in Biopharmaceutical Process Development. J Proteome Res 2020; 19:3396-3404. [DOI: 10.1021/acs.jproteome.0c00252] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Jiao Ma
- CMC Analytical, GlaxoSmithKline, 1250 S. Collegeville Road, Collegeville, Pennsylvania 19426, United States
| | - Greg W. Kilby
- CMC Analytical, GlaxoSmithKline, 1250 S. Collegeville Road, Collegeville, Pennsylvania 19426, United States
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26
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Nys G, Cobraiville G, Fillet M. Multidimensional performance assessment of micro pillar array column chromatography combined to ion mobility-mass spectrometry for proteome research. Anal Chim Acta 2019; 1086:1-13. [DOI: 10.1016/j.aca.2019.08.068] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 08/23/2019] [Accepted: 08/27/2019] [Indexed: 01/23/2023]
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27
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Wang X, Shen S, Rasam SS, Qu J. MS1 ion current-based quantitative proteomics: A promising solution for reliable analysis of large biological cohorts. MASS SPECTROMETRY REVIEWS 2019; 38:461-482. [PMID: 30920002 PMCID: PMC6849792 DOI: 10.1002/mas.21595] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 02/28/2019] [Indexed: 05/04/2023]
Abstract
The rapidly-advancing field of pharmaceutical and clinical research calls for systematic, molecular-level characterization of complex biological systems. To this end, quantitative proteomics represents a powerful tool but an optimal solution for reliable large-cohort proteomics analysis, as frequently involved in pharmaceutical/clinical investigations, is urgently needed. Large-cohort analysis remains challenging owing to the deteriorating quantitative quality and snowballing missing data and false-positive discovery of altered proteins when sample size increases. MS1 ion current-based methods, which have become an important class of label-free quantification techniques during the past decade, show considerable potential to achieve reproducible protein measurements in large cohorts with high quantitative accuracy/precision. Nonetheless, in order to fully unleash this potential, several critical prerequisites should be met. Here we provide an overview of the rationale of MS1-based strategies and then important considerations for experimental and data processing techniques, with the emphasis on (i) efficient and reproducible sample preparation and LC separation; (ii) sensitive, selective and high-resolution MS detection; iii)accurate chromatographic alignment; (iv) sensitive and selective generation of quantitative features; and (v) optimal post-feature-generation data quality control. Prominent technical developments in these aspects are discussed. Finally, we reviewed applications of MS1-based strategy in disease mechanism studies, biomarker discovery, and pharmaceutical investigations.
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Affiliation(s)
- Xue Wang
- Department of Cell Stress BiologyRoswell Park Cancer InstituteBuffaloNew York
| | - Shichen Shen
- Department of Pharmaceutical SciencesUniversity at BuffaloState University of New YorkNew YorkNew York
| | - Sailee Suryakant Rasam
- Department of Biochemistry, University at BuffaloState University of New YorkNew YorkNew York
| | - Jun Qu
- Department of Cell Stress BiologyRoswell Park Cancer InstituteBuffaloNew York
- Department of Pharmaceutical SciencesUniversity at BuffaloState University of New YorkNew YorkNew York
- Department of Biochemistry, University at BuffaloState University of New YorkNew YorkNew York
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28
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Abstract
Metaproteomics can provide critical information about biological systems, but peptides are found within a complex background of other peptides. This complex background can change across samples, in some cases drastically. Cofragmentation, the coelution of peptides with similar mass to charge ratios, is one factor that influences which peptides are identified in an LC-MS/MS experiment: it is dependent on the nature and complexity of this dynamic background. Metaproteomics applications are particularly susceptible to cofragmentation-induced bias; they have vast protein sequence diversity and the abundance of those proteins can span many orders of magnitude. We have developed a mechanistic model that determines the number of potentially cofragmenting peptides in a given sample (called cobia, https://github.com/bertrand-lab/cobia ). We then used previously published data sets to validate our model, showing that the resulting peptide-specific score reflects the cofragmentation "risk" of peptides. Using an Antarctic sea ice edge metatranscriptome case study, we found that more rare taxonomic and functional groups are associated with higher cofragmentation bias. We also demonstrate how cofragmentation scores can be used to guide the selection of protein- or peptide-based biomarkers. We illustrate potential consequences of cofragmentation for multiple metaproteomic approaches, and suggest practical paths forward to cope with cofragmentation-induced bias.
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Affiliation(s)
- J Scott P McCain
- Department of Biology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada
| | - Erin M Bertrand
- Department of Biology , Dalhousie University , Halifax , Nova Scotia B3H 4R2 , Canada
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29
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Zhang Y, Wen Z, Washburn MP, Florens L. Evaluating Chromatographic Approaches for the Quantitative Analysis of a Human Proteome on Orbitrap-Based Mass Spectrometry Systems. J Proteome Res 2019; 18:1857-1869. [PMID: 30884231 DOI: 10.1021/acs.jproteome.9b00036] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The Orbitrap is now a core component of several different instruments. However, evaluating the capabilities of each system is lacking in the field. Here, we compared the performance of multidimensional protein identification (MudPIT) on Velos Pro Orbitrap and Velos Orbitrap Elite mass spectrometers to reversed phase liquid chromatography (RPLC) on a Q-Exactive Plus and an Orbitrap Fusion Lumos. Using HeLa cell protein digests, we carried out triplicate analyses of 16 different chromatography conditions on four different instrumentation platforms. We first optimized RPLC conditions by varying column lengths, inner diameters, and particle sizes. We found that smaller particle sizes improve results but only with smaller inner diameter microcapillary columns. We then selected one chromatography condition on each system and varied gradient lengths. We used distributed normalized spectral abundance factor (dNSAF) values to determine quantitative reproducibility. With Pearson product-moment correlation coefficient r values routinely above 0.96, single RPLC on both the QE+ and Orbitrap Lumos outperformed MudPIT on the Orbitrap Elite mass spectrometer. In addition, when comparing dNSAF values measured for the same proteins across the different platforms, RPLC on the Orbitrap Lumos had greater sensitivity than MudPIT, as demonstrated by the detection and quantification of histone deacetylase complex components. Data are available via ProteomeXchange with identifier 10.6019/PXD009875.
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Affiliation(s)
- Ying Zhang
- Stowers Institute for Medical Research , Kansas City , Missouri 64110 , United States
| | - Zhihui Wen
- Stowers Institute for Medical Research , Kansas City , Missouri 64110 , United States
| | - Michael P Washburn
- Stowers Institute for Medical Research , Kansas City , Missouri 64110 , United States.,Department of Pathology and Laboratory Medicine , University of Kansas Medical Center , Kansas City , Kansas 66160 , United States
| | - Laurence Florens
- Stowers Institute for Medical Research , Kansas City , Missouri 64110 , United States
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30
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Hinzke T, Kouris A, Hughes RA, Strous M, Kleiner M. More Is Not Always Better: Evaluation of 1D and 2D-LC-MS/MS Methods for Metaproteomics. Front Microbiol 2019; 10:238. [PMID: 30837968 PMCID: PMC6383543 DOI: 10.3389/fmicb.2019.00238] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 01/28/2019] [Indexed: 12/11/2022] Open
Abstract
Metaproteomics, the study of protein expression in microbial communities, is a versatile tool for environmental microbiology. Achieving sufficiently high metaproteome coverage to obtain a comprehensive picture of the activities and interactions in microbial communities is one of the current challenges in metaproteomics. An essential step to maximize the number of identified proteins is peptide separation via liquid chromatography (LC) prior to mass spectrometry (MS). Thorough optimization and comparison of LC methods for metaproteomics are, however, currently lacking. Here, we present an extensive development and test of different 1D and 2D-LC approaches for metaproteomic peptide separations. We used fully characterized mock community samples to evaluate metaproteomic approaches with very long analytical columns (50 and 75 cm) and long gradients (up to 12 h). We assessed a total of over 20 different 1D and 2D-LC approaches in terms of number of protein groups and unique peptides identified, peptide spectrum matches (PSMs) generated, the ability to detect proteins of low-abundance species, the effect of technical replicate runs on protein identifications and method reproducibility. We show here that, while 1D-LC approaches are faster and easier to set up and lead to more identifications per minute of runtime, 2D-LC approaches allow for a higher overall number of identifications with up to >10,000 protein groups identified. We also compared the 1D and 2D-LC approaches to a standard GeLC workflow, in which proteins are pre-fractionated via gel electrophoresis. This method yielded results comparable to the 2D-LC approaches, however with the drawback of a much increased sample preparation time. Based on our results, we provide recommendations on how to choose the best LC approach for metaproteomics experiments, depending on the study aims.
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Affiliation(s)
- Tjorven Hinzke
- Department of Geoscience, University of Calgary, Calgary, AB, Canada
- Institute of Pharmacy, Department of Pharmaceutical Biotechnology, University of Greifswald, Greifswald, Germany
- Institute of Marine Biotechnology e.V., Greifswald, Germany
| | - Angela Kouris
- Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Rebecca-Ayme Hughes
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
| | - Marc Strous
- Department of Geoscience, University of Calgary, Calgary, AB, Canada
| | - Manuel Kleiner
- Department of Geoscience, University of Calgary, Calgary, AB, Canada
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
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31
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Wahab MF, O’Haver TC, Gritti F, Hellinghausen G, Armstrong DW. Increasing chromatographic resolution of analytical signals using derivative enhancement approach. Talanta 2019; 192:492-499. [DOI: 10.1016/j.talanta.2018.09.048] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/11/2018] [Accepted: 09/14/2018] [Indexed: 01/27/2023]
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32
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Dams M, Dores-Sousa JL, Lamers RJ, Treumann A, Eeltink S. High-Resolution Nano-Liquid Chromatography with Tandem Mass Spectrometric Detection for the Bottom-Up Analysis of Complex Proteomic Samples. Chromatographia 2018. [DOI: 10.1007/s10337-018-3647-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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33
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Wu C, Liang Y, Liang Z, Zhang L, Zhang Y. Ethane-bridged hybrid monoliths with well-defined mesoporosity and great stability for high-performance peptide separation. Anal Chim Acta 2018; 1019:128-134. [DOI: 10.1016/j.aca.2018.02.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 02/03/2018] [Accepted: 02/10/2018] [Indexed: 10/18/2022]
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34
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Lenčo J, Vajrychová M, Pimková K, Prokšová M, Benková M, Klimentová J, Tambor V, Soukup O. Conventional-Flow Liquid Chromatography-Mass Spectrometry for Exploratory Bottom-Up Proteomic Analyses. Anal Chem 2018; 90:5381-5389. [PMID: 29582996 DOI: 10.1021/acs.analchem.8b00525] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Due to its sensitivity and productivity, bottom-up proteomics based on liquid chromatography-mass spectrometry (LC-MS) has become the core approach in the field. The de facto standard LC-MS platform for proteomics operates at sub-μL/min flow rates, and nanospray is required for efficiently introducing peptides into a mass spectrometer. Although this is almost a "dogma", this view is being reconsidered in light of developments in highly efficient chromatographic columns, and especially with the introduction of exceptionally sensitive MS instruments. Although conventional-flow LC-MS platforms have recently penetrated targeted proteomics successfully, their possibilities in discovery-oriented proteomics have not yet been thoroughly explored. Our objective was to determine what are the extra costs and what optimization and adjustments to a conventional-flow LC-MS system must be undertaken to identify a comparable number of proteins as can be identified on a nanoLC-MS system. We demonstrate that the amount of a complex tryptic digest needed for comparable proteome coverage can be roughly 5-fold greater, providing the column dimensions are properly chosen, extra-column peak dispersion is minimized, column temperature and flow rate are set to levels appropriate for peptide separation, and the composition of mobile phases is fine-tuned. Indeed, we identified 2 835 proteins from 2 μg of HeLa cells tryptic digest separated during a 60 min gradient at 68 μL/min on a 1.0 mm × 250 mm column held at 55 °C and using an aqua-acetonitrile mobile phases containing 0.1% formic acid, 0.4% acetic acid, and 3% dimethyl sulfoxide. Our results document that conventional-flow LC-MS is an attractive alternative for bottom-up exploratory proteomics.
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Affiliation(s)
- Juraj Lenčo
- Biomedical Research Center , University Hospital Hradec Králové , Sokolská 581 , 500 05 Hradec Králové , Czech Republic.,Department of Molecular Pathology and Biology, Faculty of Military Health Sciences , University of Defence , Třebešská 1575 , 500 01 Hradec Králové , Czech Republic.,Department of Analytical Chemistry, Faculty of Pharmacy , Charles University in Prague , Heyrovského 1203 , 500 05 Hra-dec Králové , Czech Republic
| | - Marie Vajrychová
- Biomedical Research Center , University Hospital Hradec Králové , Sokolská 581 , 500 05 Hradec Králové , Czech Republic.,Department of Molecular Pathology and Biology, Faculty of Military Health Sciences , University of Defence , Třebešská 1575 , 500 01 Hradec Králové , Czech Republic
| | - Kristýna Pimková
- Biomedical Research Center , University Hospital Hradec Králové , Sokolská 581 , 500 05 Hradec Králové , Czech Republic
| | - Magdaléna Prokšová
- Department of Molecular Pathology and Biology, Faculty of Military Health Sciences , University of Defence , Třebešská 1575 , 500 01 Hradec Králové , Czech Republic
| | - Markéta Benková
- Biomedical Research Center , University Hospital Hradec Králové , Sokolská 581 , 500 05 Hradec Králové , Czech Republic
| | - Jana Klimentová
- Department of Molecular Pathology and Biology, Faculty of Military Health Sciences , University of Defence , Třebešská 1575 , 500 01 Hradec Králové , Czech Republic
| | - Vojtěch Tambor
- Biomedical Research Center , University Hospital Hradec Králové , Sokolská 581 , 500 05 Hradec Králové , Czech Republic
| | - Ondřej Soukup
- Biomedical Research Center , University Hospital Hradec Králové , Sokolská 581 , 500 05 Hradec Králové , Czech Republic
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35
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Soboleva A, Schmidt R, Vikhnina M, Grishina T, Frolov A. Maillard Proteomics: Opening New Pages. Int J Mol Sci 2017; 18:E2677. [PMID: 29231845 PMCID: PMC5751279 DOI: 10.3390/ijms18122677] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 11/29/2017] [Accepted: 12/05/2017] [Indexed: 12/12/2022] Open
Abstract
Protein glycation is a ubiquitous non-enzymatic post-translational modification, formed by reaction of protein amino and guanidino groups with carbonyl compounds, presumably reducing sugars and α-dicarbonyls. Resulting advanced glycation end products (AGEs) represent a highly heterogeneous group of compounds, deleterious in mammals due to their pro-inflammatory effect, and impact in pathogenesis of diabetes mellitus, Alzheimer's disease and ageing. The body of information on the mechanisms and pathways of AGE formation, acquired during the last decades, clearly indicates a certain site-specificity of glycation. It makes characterization of individual glycation sites a critical pre-requisite for understanding in vivo mechanisms of AGE formation and developing adequate nutritional and therapeutic approaches to reduce it in humans. In this context, proteomics is the methodology of choice to address site-specific molecular changes related to protein glycation. Therefore, here we summarize the methods of Maillard proteomics, specifically focusing on the techniques providing comprehensive structural and quantitative characterization of glycated proteome. Further, we address the novel break-through areas, recently established in the field of Maillard research, i.e., in vitro models based on synthetic peptides, site-based diagnostics of metabolism-related diseases (e.g., diabetes mellitus), proteomics of anti-glycative defense, and dynamics of plant glycated proteome during ageing and response to environmental stress.
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Affiliation(s)
- Alena Soboleva
- Department of Biochemistry, St. Petersburg State University, Saint Petersburg 199034, Russia.
- Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, 06120 Halle, Germany.
| | - Rico Schmidt
- Department of Pharmaceutical Chemistry and Bioanalytics, Institute of Pharmacy, Martin-Luther Universität Halle-Wittenberg, 06108 Halle, Germany.
| | - Maria Vikhnina
- Department of Biochemistry, St. Petersburg State University, Saint Petersburg 199034, Russia.
- Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, 06120 Halle, Germany.
| | - Tatiana Grishina
- Department of Biochemistry, St. Petersburg State University, Saint Petersburg 199034, Russia.
| | - Andrej Frolov
- Department of Biochemistry, St. Petersburg State University, Saint Petersburg 199034, Russia.
- Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, 06120 Halle, Germany.
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36
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Wöhlbrand L, Rabus R, Blasius B, Feenders C. Influence of NanoLC Column and Gradient Length as well as MS/MS Frequency and Sample Complexity on Shotgun Protein Identification of Marine Bacteria. J Mol Microbiol Biotechnol 2017; 27:199-212. [PMID: 28850952 DOI: 10.1159/000478907] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 06/22/2017] [Indexed: 11/19/2022] Open
Abstract
Protein identification by shotgun proteomics, i.e., nano-liquid chromatography (nanoLC) peptide separation online coupled to electrospray ionization (ESI) mass spectrometry (MS)/MS, is the most widely used gel-free approach in proteome research. While the mass spectrometer accounts for mass accuracy and MS/MS frequency, the nanoLC setup and gradient time influence the number of peptides available for MS analysis, which ultimately determine the number of proteins identifiable. Here, we report on the influence of (i) analytical column length (15, 25, or 50 cm) coupled to (ii) the applied gradient length (120, 240, 360, 480, or 600 min), as well as (iii) MS/MS frequency on peptide/protein identification by shotgun proteomics of (iv) 2 marine bacteria. Longer gradients increased the number of peptides/proteins identified as well as the reproducibility of identification. Furthermore, longer analytical columns strictly enlarge the covered proteome complement. Notably, the proteome complement identified with a short column and applying a long gradient is also covered when using longer columns with shorter gradients. Coverage of the proteome complement further increases with higher MS/MS frequency. Compilation of peptide lists of replicate analyses (same gradient length) improves protein identification, while compilation of analyses with different gradient lengths yields a similar or even higher number of proteins using comparable or even less total analysis time.
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Affiliation(s)
- Lars Wöhlbrand
- General and Molecular Microbiology, Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
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37
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Capriotti AL, Cavaliere C, Cavazzini A, Gasparrini F, Pierri G, Piovesana S, Laganà A. A multidimensional liquid chromatography–tandem mass spectrometry platform to improve protein identification in high-throughput shotgun proteomics. J Chromatogr A 2017; 1498:176-182. [DOI: 10.1016/j.chroma.2017.03.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 01/20/2017] [Accepted: 03/17/2017] [Indexed: 01/13/2023]
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38
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Karouia F, Peyvan K, Pohorille A. Toward biotechnology in space: High-throughput instruments for in situ biological research beyond Earth. Biotechnol Adv 2017; 35:905-932. [PMID: 28433608 DOI: 10.1016/j.biotechadv.2017.04.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 03/27/2017] [Accepted: 04/12/2017] [Indexed: 12/18/2022]
Abstract
Space biotechnology is a nascent field aimed at applying tools of modern biology to advance our goals in space exploration. These advances rely on our ability to exploit in situ high throughput techniques for amplification and sequencing DNA, and measuring levels of RNA transcripts, proteins and metabolites in a cell. These techniques, collectively known as "omics" techniques have already revolutionized terrestrial biology. A number of on-going efforts are aimed at developing instruments to carry out "omics" research in space, in particular on board the International Space Station and small satellites. For space applications these instruments require substantial and creative reengineering that includes automation, miniaturization and ensuring that the device is resistant to conditions in space and works independently of the direction of the gravity vector. Different paths taken to meet these requirements for different "omics" instruments are the subjects of this review. The advantages and disadvantages of these instruments and technological solutions and their level of readiness for deployment in space are discussed. Considering that effects of space environments on terrestrial organisms appear to be global, it is argued that high throughput instruments are essential to advance (1) biomedical and physiological studies to control and reduce space-related stressors on living systems, (2) application of biology to life support and in situ resource utilization, (3) planetary protection, and (4) basic research about the limits on life in space. It is also argued that carrying out measurements in situ provides considerable advantages over the traditional space biology paradigm that relies on post-flight data analysis.
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Affiliation(s)
- Fathi Karouia
- University of California San Francisco, Department of Pharmaceutical Chemistry, San Francisco, CA 94158, USA; NASA Ames Research Center, Exobiology Branch, MS239-4, Moffett Field, CA 94035, USA; NASA Ames Research Center, Flight Systems Implementation Branch, Moffett Field, CA 94035, USA.
| | | | - Andrew Pohorille
- University of California San Francisco, Department of Pharmaceutical Chemistry, San Francisco, CA 94158, USA; NASA Ames Research Center, Exobiology Branch, MS239-4, Moffett Field, CA 94035, USA.
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Deng L, Webb IK, Garimella SVB, Hamid AM, Zheng X, Norheim RV, Prost SA, Anderson GA, Sandoval JA, Baker ES, Ibrahim YM, Smith RD. Serpentine Ultralong Path with Extended Routing (SUPER) High Resolution Traveling Wave Ion Mobility-MS using Structures for Lossless Ion Manipulations. Anal Chem 2017; 89:4628-4634. [PMID: 28332832 PMCID: PMC5627996 DOI: 10.1021/acs.analchem.7b00185] [Citation(s) in RCA: 155] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Ion mobility (IM) separations have a broad range of analytical applications, but insufficient resolution often limits their utility. Here, we report on ion mobility separations in a structures for lossless ion manipulations (SLIM) serpentine ultralong path with extended routing (SUPER) traveling wave (TW) ion mobility (IM) module in conjunction with mass spectrometry (MS). Ions were confined in the SLIM by rf fields in conjunction with a DC guard bias, enabling essentially lossless TW transmission over greatly extended paths. The extended routing utilized multiple passes (e.g., ∼1094 m over 81 passes through the 13.5 m serpentine path) and was facilitated by the introduction of a lossless ion switch that allowed ions to be directed to either the MS detector or for another pass through the serpentine separation region, allowing theoretically unlimited IM path lengths. The multipass SUPER IM-MS provided resolution approximately proportional to the square root of the number of passes (or total path length). More than 30-fold higher IM resolution (∼340 vs ∼10) for Agilent tuning mix m/z 622 and 922 ions was achieved for 40 passes compared to commercially available drift tube IM and other TWIM-based platforms. An initial evaluation of the isomeric sugars lacto-N-hexaose and lacto-N-neohexaose showed the isomeric structures to be baseline resolved, and a new conformational feature for lacto-N-neohexaose was revealed after 9 passes. The new SLIM SUPER high resolution TWIM platform has broad utility in conjunction with MS and is expected to enable a broad range of previously challenging or intractable separations.
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Affiliation(s)
| | | | - Sandilya V. B. Garimella
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Ahmed M. Hamid
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Xueyun Zheng
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Randolph V. Norheim
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Spencer A. Prost
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Gordon A. Anderson
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Jeremy A. Sandoval
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Erin S. Baker
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Yehia M. Ibrahim
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
| | - Richard D. Smith
- Biological Sciences Division, Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MSIN K8-98, Richland, Washington 99352, United States
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Xia H, Wan G, Zhao J, Liu J, Bai Q. Preparation and characterization of monodisperse large-porous silica microspheres as the matrix for protein separation. J Chromatogr A 2016; 1471:138-144. [DOI: 10.1016/j.chroma.2016.10.025] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 10/02/2016] [Accepted: 10/11/2016] [Indexed: 12/13/2022]
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Global and Targeted Proteomics of Prostate Cancer Cell Secretome: Combination of 2-Dimensional Image-Converted Analysis of Liquid Chromatography and Mass Spectrometry and In Silico Selection Selected Reaction Monitoring Analysis. J Pharm Sci 2016; 105:3440-3452. [DOI: 10.1016/j.xphs.2016.08.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 08/23/2016] [Accepted: 08/23/2016] [Indexed: 01/22/2023]
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Bereman MS, Beri J, Sharma V, Nathe C, Eckels J, MacLean B, MacCoss MJ. An Automated Pipeline to Monitor System Performance in Liquid Chromatography-Tandem Mass Spectrometry Proteomic Experiments. J Proteome Res 2016; 15:4763-4769. [PMID: 27700092 DOI: 10.1021/acs.jproteome.6b00744] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
We report the development of a completely automated pipeline to monitor system suitability in bottom-up proteomic experiments. LC-MS/MS runs are automatically imported into Skyline and multiple identification-free metrics are extracted from targeted peptides. These data are then uploaded to the Panorama Skyline document repository where metrics can be viewed in a web-based interface using powerful process control techniques, including Levey-Jennings and Pareto plots. The interface is versatile and takes user input, which allows the user significant control over the visualization of the data. The pipeline is vendor and instrument-type neutral, supports multiple acquisition techniques (e.g., MS 1 filtering, data-independent acquisition, parallel reaction monitoring, and selected reaction monitoring), can track performance of multiple instruments, and requires no manual intervention aside from initial setup. Data can be viewed from any computer with Internet access and a web browser, facilitating sharing of QC data between researchers. Herein, we describe the use of this pipeline, termed Panorama AutoQC, to evaluate LC-MS/MS performance in a range of scenarios including identification of suboptimal instrument performance, evaluation of ultrahigh pressure chromatography, and identification of the major sources of variation throughout years of peptide data collection.
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Affiliation(s)
| | | | - Vagisha Sharma
- Department of Genome Sciences, University of Washington , Seattle, Washington 98195, United States
| | - Cory Nathe
- LabKey Software , Seattle, Washington 98109, United States
| | - Josh Eckels
- LabKey Software , Seattle, Washington 98109, United States
| | - Brendan MacLean
- Department of Genome Sciences, University of Washington , Seattle, Washington 98195, United States
| | - Michael J MacCoss
- Department of Genome Sciences, University of Washington , Seattle, Washington 98195, United States
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43
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Impact of injection solvent composition on protein identification in column-switching chip-liquid chromatography/mass spectrometry. J Chromatogr A 2016; 1445:27-35. [DOI: 10.1016/j.chroma.2016.03.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Revised: 03/19/2016] [Accepted: 03/21/2016] [Indexed: 11/17/2022]
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Abstract
Compared to genomics or transcriptomics, proteomics is often regarded as an "emerging technology," i.e., as not having reached the same level of maturity. While the successful implementation of proteomics workflows and technology still requires significant levels of expertise and specialization, great strides have been made to make the technology more powerful, streamlined and accessible. In 2014, two landmark studies published the first draft versions of the human proteome.We aim to provide an introduction specifically into the background of mass spectrometry (MS)-based proteomics. Within the field, mass spectrometry has emerged as a core technology. Coupled to increasingly powerful separations and data processing and bioinformatics solution, it allows the quantitative analysis of whole proteomes within a matter of days, a timescale that has made global comparative proteome studies feasible at last. We present and discuss the basic concepts behind proteomics mass spectrometry and the accompanying topic of protein and peptide separations, with a focus on the properties of datasets emerging from such studies.
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Yakovleva ME, Welinder C, Sugihara Y, Pawłowski K, Rezeli M, Wieslander E, Malm J, Marko-Varga G. Workflow for large-scale analysis of melanoma tissue samples. EUPA OPEN PROTEOMICS 2015. [DOI: 10.1016/j.euprot.2015.07.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Abstract
In proteomics, nano-LC is arguably the most common tool for separating peptides/proteins prior to MS. The main advantage of nano-LC is enhanced sensitivity, as compounds enter the MS in more concentrated bands. This is particularly relevant for determining low abundant compounds in limited samples. Nano-LC columns can produce peak capacities of 1000 or more, and very narrow columns can be used to perform proteomics of 1000 cells or less. Also, nano-LC can be coupled with online add-ons such as selective trap columns or enzymatic reactors, for faster and more automated analysis. Nano-LC is today an established tool for research laboratories; but can nano-LC-based systems soon be ready for more routine settings, such as in clinics?
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Tonry CL, Doherty D, O’Shea C, Morrissey B, Staunton L, Flatley B, Shannon A, Armstrong J, Pennington SR. Discovery and Longitudinal Evaluation of Candidate Protein Biomarkers for Disease Recurrence in Prostate Cancer. J Proteome Res 2015; 14:2769-83. [DOI: 10.1021/acs.jproteome.5b00041] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Claire L. Tonry
- Conway
Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Dublin, Ireland
| | - Darren Doherty
- Conway
Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Dublin, Ireland
| | - Carmel O’Shea
- St. Luke’s Hospital, Rathgar, Dublin 6, Dublin, Ireland
| | - Brian Morrissey
- Conway
Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Dublin, Ireland
| | - Lisa Staunton
- Conway
Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Dublin, Ireland
| | - Brian Flatley
- Conway
Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Dublin, Ireland
| | - Aoife Shannon
- St. Luke’s Hospital, Rathgar, Dublin 6, Dublin, Ireland
| | | | - Stephen R. Pennington
- Conway
Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Dublin, Ireland
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48
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Samperi R, Capriotti AL, Cavaliere C, Colapicchioni V, Chiozzi RZ, Laganà A. Food Proteins and Peptides. ADVANCED MASS SPECTROMETRY FOR FOOD SAFETY AND QUALITY 2015. [DOI: 10.1016/b978-0-444-63340-8.00006-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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49
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Ren F, Zheng YF, Liu XM, Yang QQ, Zhang Q, Shen F. Thermal oxidation reaction process and oxidation kinetics of abietic acid. RSC Adv 2015. [DOI: 10.1039/c4ra16791k] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Abstract
A kinetic study on the oxidation of abietic acid, providing new basic data.
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Affiliation(s)
- Fan Ren
- School of Chemistry and Chemical Engineering
- Guangxi University
- Nanning 530004
- China
| | - Yan-Fei Zheng
- School of Chemistry and Chemical Engineering
- Guangxi University
- Nanning 530004
- China
| | - Xiong-Min Liu
- School of Chemistry and Chemical Engineering
- Guangxi University
- Nanning 530004
- China
| | - Qiong-Qiong Yang
- School of Chemistry and Chemical Engineering
- Guangxi University
- Nanning 530004
- China
| | - Qiang Zhang
- School of Chemistry and Chemical Engineering
- Guangxi University
- Nanning 530004
- China
| | - Fang Shen
- School of Chemistry and Chemical Engineering
- Guangxi University
- Nanning 530004
- China
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50
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Wang H, Yang Y, Li Y, Bai B, Wang X, Tan H, Liu T, Beach TG, Peng J, Wu Z. Systematic optimization of long gradient chromatography mass spectrometry for deep analysis of brain proteome. J Proteome Res 2014; 14:829-38. [PMID: 25455107 PMCID: PMC4324436 DOI: 10.1021/pr500882h] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The development of high-resolution liquid chromatography (LC) is essential for improving the sensitivity and throughput of mass spectrometry (MS)-based proteomics. Here we present systematic optimization of a long gradient LC-MS/MS platform to enhance protein identification from a complex mixture. The platform employed an in-house fabricated, reverse-phase long column (100 μm × 150 cm, 5 μm C18 beads) coupled to Q Exactive MS. The column was capable of achieving a peak capacity of ∼700 in a 720 min gradient of 10-45% acetonitrile. The optimal loading level was ∼6 μg of peptides, although the column allowed loading as many as 20 μg. Gas-phase fractionation of peptide ions further increased the number of peptide identification by ∼10%. Moreover, the combination of basic pH LC prefractionation with the long gradient LC-MS/MS platform enabled the identification of 96,127 peptides and 10,544 proteins at 1% protein false discovery rate in a post-mortem brain sample of Alzheimer's disease. Because deep RNA sequencing of the same specimen suggested that ∼16,000 genes were expressed, the current analysis covered more than 60% of the expressed proteome. Further improvement strategies of the LC/LC-MS/MS platform were also discussed.
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Affiliation(s)
- Hong Wang
- Department of Structural Biology, ‡St. Jude Proteomics Facility, and §̂Department of Developmental Neurobiology, St. Jude Children's Research Hospital , 262 Danny Thomas Place, Memphis, Tennessee 38105, United States
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