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Tian X, Permentier HP, Bischoff R. Chemical isotope labeling for quantitative proteomics. MASS SPECTROMETRY REVIEWS 2023; 42:546-576. [PMID: 34091937 PMCID: PMC10078755 DOI: 10.1002/mas.21709] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/22/2021] [Accepted: 05/17/2021] [Indexed: 05/05/2023]
Abstract
Advancements in liquid chromatography and mass spectrometry over the last decades have led to a significant development in mass spectrometry-based proteome quantification approaches. An increasingly attractive strategy is multiplex isotope labeling, which significantly improves the accuracy, precision and throughput of quantitative proteomics in the data-dependent acquisition mode. Isotope labeling-based approaches can be classified into MS1-based and MS2-based quantification. In this review, we give an overview of approaches based on chemical isotope labeling and discuss their principles, benefits, and limitations with the goal to give insights into fundamental questions and provide a useful reference for choosing a method for quantitative proteomics. As a perspective, we discuss the current possibilities and limitations of multiplex, isotope labeling approaches for the data-independent acquisition mode, which is increasing in popularity.
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Affiliation(s)
- Xiaobo Tian
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
| | - Hjalmar P. Permentier
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
| | - Rainer Bischoff
- Department of Analytical Biochemistry and Interfaculty Mass Spectrometry Center, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands
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2
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Tian X, de Vries MP, Visscher SWJ, Permentier HP, Bischoff R. Selective Maleylation-Directed Isobaric Peptide Termini Labeling for Accurate Proteome Quantification. Anal Chem 2020; 92:7836-7844. [PMID: 32319746 PMCID: PMC7271076 DOI: 10.1021/acs.analchem.0c01059] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
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Isobaric peptide
termini labeling (IPTL) is an attractive protein
quantification method because it provides more accurate and reliable
quantification information than traditional isobaric labeling methods
(e.g., TMT and iTRAQ) by making use of the entire fragment-ion series
instead of only a single reporter ion. The multiplexing capacity of
published IPTL implementations is, however, limited to three. Here,
we present a selective maleylation-directed isobaric peptide termini
labeling (SMD-IPTL) approach for quantitative proteomics of LysC protein
digestion. SMD-IPTL extends the multiplexing capacity to 4-plex with
the potential for higher levels of multiplexing using commercially
available 13C/15N labeled amino acids. SMD-IPTL
is achieved in a one-pot reaction in three consecutive steps: (1)
selective maleylation at the N-terminus; (2) labeling at the ε-NH2 group of the C-terminal Lys with isotopically labeled acetyl-alanine;
(3) thiol Michael addition of an isotopically labeled acetyl-cysteine
at the maleylated N-terminus. The isobarically labeled peptides are
fragmented into sets of b- and y-ion clusters upon LC-MS/MS, which
convey not only sequence information but also quantitative information
for every labeling channel and avoid the issue of ratio distortion
observed with reporter-ion-based approaches. We demonstrate the SMD-IPTL
approach with a 4-plex labeled sample of bovine serum albumin (BSA)
and yeast lysates mixed at different ratios. With the use of SMD-IPTL
for labeling and a narrow precursor isolation window of 0.8 Th with
an offset of −0.2 Th, accurate ratios were measured across
a 10-fold mixing range of BSA in a background of yeast proteome. With
the yeast proteins mixed at ratios of 1:5:1:5, BSA was detected at
ratios of 0.94:2.46:4.70:9.92 when spiked at 1:2:5:10 ratios with
an average standard deviation of peptide ratios of 0.34.
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Affiliation(s)
| | - Marcel P de Vries
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen 9713 GZ, The Netherlands
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van Mierlo G, Wester RA, Marks H. Quantitative subcellular proteomics using SILAC reveals enhanced metabolic buffering in the pluripotent ground state. Stem Cell Res 2018; 33:135-145. [PMID: 30352361 DOI: 10.1016/j.scr.2018.09.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 08/13/2018] [Accepted: 09/17/2018] [Indexed: 11/26/2022] Open
Abstract
The ground state of pluripotency is defined as a minimal unrestricted epigenetic state as present in the Inner Cell Mass. Mouse embryonic stem cells (ESCs) grown in a defined serum-free medium with two kinase inhibitors ("2i ESCs") have been postulated to reflect ground-state pluripotency, whereas ESCs grown in the presence of serum ("serum ESCs") share more similarities with post-implantation epiblast cells. Pluripotency results from an intricate interplay between cytoplasmic, nuclear and chromatin-associated proteins. Here, we perform quantitative subcellular proteomics to gain insight in the molecular mechanisms sustaining the pluripotent states reflected by 2i and serum ESCs. We describe a full SILAC workflow and quality controls for proteomic comparison of 2i and serum ESCs, allowing subcellular proteomics of the cytoplasm, nucleoplasm and chromatin. The obtained quantitative information revealed increased levels of naïve pluripotency factors on the chromatin of 2i ESCs. Surprisingly, the cytoplasmic proteome suggests that 2i and serum ESCs utilize distinct metabolic programs, which include upregulation of free radical buffering by the glutathione pathway in 2i ESCs. Through induction of intracellular radicals, we show that the altered metabolic environment renders 2i ESCs less sensitive to oxidative stress. Altogether, this work provides novel insights into the proteomic landscape underlying ground state pluripotency.
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Affiliation(s)
- Guido van Mierlo
- Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences (RIMLS), Geert Grooteplein 26/28, 6525GA Nijmegen, the Netherlands
| | - Roelof A Wester
- Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences (RIMLS), Geert Grooteplein 26/28, 6525GA Nijmegen, the Netherlands
| | - Hendrik Marks
- Department of Molecular Biology, Faculty of Science, Radboud University, Radboud Institute for Molecular Life Sciences (RIMLS), Geert Grooteplein 26/28, 6525GA Nijmegen, the Netherlands.
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4
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Jiang H, Yin H, Xie L, Zhang Y, Zhang L, Yang PY, Lu H. A novel triplex isobaric termini labeling quantitative approach for simultaneously supplying three quantitative sources. Anal Chim Acta 2017; 1001:70-77. [PMID: 29291808 DOI: 10.1016/j.aca.2017.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 10/10/2017] [Accepted: 11/01/2017] [Indexed: 02/07/2023]
Abstract
Benefiting from high sensitivity and great ability to measure multiple samples simultaneously, isobaric tandem Mass spectrometry (MS2) quantification has been widely applied for protein biomarker screening. Here, a newly developed isobaric MS2 quantification method named triplex quantification by isobaric termini labeling (Triplex-QITL) was established. This method enables the accurate comparison of various fragment ions (reporter ions, amino acid fragments and N-/C-terminal fragments) based quantification to be operated in a single run. To our knowledge, this is the first time that this kind of comparison is achieved. In Triplex-QITL, proteins were first digested with Lys-C to produce peptides with lysine (K) at the C-termini, then dimethylation reagents and mTRAQ reagents were used to label the N-termini and C-termini of the peptides respectively. N- and C-terminal fragment ion pairs, reporter ions from mTRAQ (113,117,121) and a1 ion pairs were simultaneously generated in MS2 spectra. In simple sample experiment, not much difference in using various fragment ions for quantification was observed. When analyzing SW480 cell lysate, comparing with a1 ions, about two times of reproducible quantification results were achieved by reporter ions and N- and C-terminal ions. Meanwhile the measured quantification results were much closer to the expected results even in large ratios (1:10:10) using N- and C-terminal ions. Finally, Triplex-QITL was successfully applied to profile metastatic differences of three hepatocellular carcinoma (HCC) cell lines. In all, Triplex-QITL shows a promising future in quantitative proteomics.
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Affiliation(s)
- Hucong Jiang
- Shanghai Cancer Centre and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China; Department of Chemistry, Fudan University, Shanghai 200433, PR China
| | - Hongrui Yin
- Shanghai Cancer Centre and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China
| | - Liqi Xie
- Shanghai Cancer Centre and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China
| | - Ying Zhang
- Shanghai Cancer Centre and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China
| | - Lei Zhang
- Shanghai Cancer Centre and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China
| | - Peng-Yuan Yang
- Shanghai Cancer Centre and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China; Department of Chemistry, Fudan University, Shanghai 200433, PR China
| | - Haojie Lu
- Shanghai Cancer Centre and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, PR China; Department of Chemistry, Fudan University, Shanghai 200433, PR China.
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5
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Cao T, Zhang L, Zhang Y, Yan G, Fang C, Bao H, Lu H. Site-Specific Quantification of Protein Ubiquitination on MS2 Fragment Ion Level via Isobaric Peptide Labeling. Anal Chem 2017; 89:11468-11475. [DOI: 10.1021/acs.analchem.7b02654] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Ting Cao
- Shanghai
Cancer Center and Department of Chemistry, Fudan University, Shanghai 200032, P. R. China
| | - Lei Zhang
- Institutes
of Biomedical Sciences and Key Laboratory of Glycoconjugates Research,
Ministry of Public Health, Fudan University, Shanghai 200032, P. R. China
| | - Ying Zhang
- Institutes
of Biomedical Sciences and Key Laboratory of Glycoconjugates Research,
Ministry of Public Health, Fudan University, Shanghai 200032, P. R. China
| | - Guoquan Yan
- Shanghai
Cancer Center and Department of Chemistry, Fudan University, Shanghai 200032, P. R. China
- Institutes
of Biomedical Sciences and Key Laboratory of Glycoconjugates Research,
Ministry of Public Health, Fudan University, Shanghai 200032, P. R. China
| | - Caiyun Fang
- Shanghai
Cancer Center and Department of Chemistry, Fudan University, Shanghai 200032, P. R. China
| | - Huimin Bao
- Shanghai
Cancer Center and Department of Chemistry, Fudan University, Shanghai 200032, P. R. China
| | - Haojie Lu
- Shanghai
Cancer Center and Department of Chemistry, Fudan University, Shanghai 200032, P. R. China
- Institutes
of Biomedical Sciences and Key Laboratory of Glycoconjugates Research,
Ministry of Public Health, Fudan University, Shanghai 200032, P. R. China
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Xie LQ, Zhang L, Nie AY, Yan GQ, Yao J, Zhang Y, Yang PY, Lu HJ. ITMSQ: A software tool for N- and C-terminal fragment ion pairs based isobaric tandem mass spectrometry quantification. Proteomics 2015; 15:3755-64. [PMID: 26349451 DOI: 10.1002/pmic.201400513] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2014] [Revised: 08/04/2015] [Accepted: 09/04/2015] [Indexed: 11/10/2022]
Abstract
Tandem MS (MS2) quantification using the series of N- and C-terminal fragment ion pairs generated from isobaric-labelled peptides was recently considered an accurate strategy in quantitative proteomics. However, the presence of multiplexed terminal fragment ion in MS2 spectra may reduce the efficiency of peptide identification, resulting in lower identification scores or even incorrect assignments. To address this issue, we developed a quantitative software tool, denoted isobaric tandem MS quantification (ITMSQ), to improve N- and C-terminal fragment ion pairs based isobaric MS2 quantification. A spectrum splitting module was designed to separate the MS2 spectra from different samples, increasing the accuracy of both identification and quantification. ITMSQ offers a convenient interface through which parameters can be changed along with the labelling method, and the result files and all of the intermediate files can be exported. We performed an analysis of in vivo terminal amino acid labelling labelled HeLa samples and found that the numbers of quantified proteins and peptides increased by 13.64 and 27.52% after spectrum splitting, respectively. In conclusion, ITMSQ provides an accurate and reliable quantitative solution for N- and C-terminal fragment ion pairs based isobaric MS2 quantitative methods.
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Affiliation(s)
- Li-Qi Xie
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, P. R. China
| | - Lei Zhang
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, P. R. China
| | - Ai-Ying Nie
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, P. R. China
| | - Guo-Quan Yan
- Department of Chemistry, Fudan University, Shanghai, P. R. China
| | - Jun Yao
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, P. R. China
| | - Yang Zhang
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, P. R. China
| | - Peng-Yuan Yang
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, P. R. China.,Department of Chemistry, Fudan University, Shanghai, P. R. China
| | - Hao-Jie Lu
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, P. R. China.,Department of Chemistry, Fudan University, Shanghai, P. R. China
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