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Galal MA, Abdel Jabar M, Zhra M, Abdel Rahman AM, Aljada A. Absolute quantification of senescence mediators in cells using multiple reaction monitoring liquid chromatography-Tandem mass spectrometry. Anal Chim Acta 2021; 1184:339009. [PMID: 34625254 DOI: 10.1016/j.aca.2021.339009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 08/30/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND The identification of unique senescence markers remains challenging. Current hallmarks of senescent cells, including increased senescence-associated β-galactosidase activity, increased levels of cell cycle regulators such as p16INK4a, p27, and p53, and altered levels of sirtuins and lamins, are detected commonly by Western blot and immunohistochemistry methods. Mass spectrometry outperforms these conventional quantification methods in terms of high throughput, specificity, and reproducibility. OBJECTIVES To develop multiple reaction monitoring-based tandem mass spectrometric senescence assay for simultaneous measuring of p16INK4a, p27, p53, p53-β, the seven proteins of the sirtuins family and the four transcript variants of lamins proteins in aging cell model and cancerous cell lines. METHODOLOGY Multiple reaction monitoring-tandem mass transitions per protein were developed for each signature peptide(s) and stable isotope-labeled internal standard. The developed assay was validated in a matrix using breast cancer MCF7 cell lines according to the US-FDA guidelines for bioanalytical assays. RESULTS The analytes chromatographic peaks were baseline separated and showed linear behavior in a wide dynamic range with r2 ≥ 0.98. The method for all proteins has passed the inter/intra-day precision and accuracy validation using three levels of quality control samples. The accuracy and the precision for most analytes were 80-120% and ≤20%, respectively. The method's sensitivity for the panels' signature peptides ranged from 1 ng μL-1 to 1 μg mL-1. Extraction recovery assessed in two quality control levels was >60% for most analytes. This LC-MS-MS validated senescence assay showed reduced lamin A, lamin A△10, lamin A△50, SIRT1, SIRT3, SIRT5, p53, and p16INK4a, as well as p53-β induction, are implicated in replicative senescence. Meanwhile, increased lamin C: lamin A ratio was evident and can diagnose breast carcinogenesis. Moreover, in breast cancer metastasis, reduced SIRT2 and p27 and elevated levels of lamin A△50, SIRT5, SIRT7, and p53-β are evident. CONCLUSION LC-MS/MS is a potent alternative tool to the currently available assays. The high throughput method established can study senescence's role in different pathophysiological processes.
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Affiliation(s)
- Mariam Ahmed Galal
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia
| | - Mai Abdel Jabar
- Metabolomics Section, Department of Clinical Genomics, Center for Genome Medicine, King Faisal Specialist Hospital and Research Center (KFSH-RC), Riyadh, 11211, Saudi Arabia
| | - Mahmoud Zhra
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia
| | - Anas M Abdel Rahman
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia; Metabolomics Section, Department of Clinical Genomics, Center for Genome Medicine, King Faisal Specialist Hospital and Research Center (KFSH-RC), Riyadh, 11211, Saudi Arabia.
| | - Ahmad Aljada
- Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh, 11533, Saudi Arabia.
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Spatiotemporal 22q11.21 Protein Network Implicates DGCR8-Dependent MicroRNA Biogenesis as a Risk for Late-Fetal Cortical Development in Psychiatric Diseases. Life (Basel) 2021; 11:life11060514. [PMID: 34073122 PMCID: PMC8227527 DOI: 10.3390/life11060514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 05/28/2021] [Accepted: 05/31/2021] [Indexed: 12/28/2022] Open
Abstract
The chromosome 22q11.21 copy number variant (CNV) is a vital risk factor that can be a genetic predisposition to neurodevelopmental disorders (NDD). As the 22q11.21 CNV affects multiple genes, causal disease genes and mechanisms affected are still poorly understood. Thus, we aimed to identify the most impactful 22q11.21 CNV genes and the potential impacted human brain regions, developmental stages and signaling pathways. We constructed the spatiotemporal dynamic networks of 22q11.21 CNV genes using the brain developmental transcriptome and physical protein–protein interactions. The affected brain regions, developmental stages, driver genes and pathways were subsequently investigated via integrated bioinformatics analysis. As a result, we first identified that 22q11.21 CNV genes affect the cortical area mainly during late fetal periods. Interestingly, we observed that connections between a driver gene, DGCR8, and its interacting partners, MECP2 and CUL3, also network hubs, only existed in the network of the late fetal period within the cortical region, suggesting their functional specificity during brain development. We also confirmed the physical interaction result between DGCR8 and CUL3 by liquid chromatography-tandem mass spectrometry. In conclusion, our results could suggest that the disruption of DGCR8-dependent microRNA biogenesis plays a vital role in NDD for late fetal cortical development.
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Xu M, Lu M, Zhang W, Jin Q, Chen Y. Simultaneous Detection of Six Isoforms of Tau Protein in Human Cerebrospinal Fluid by Multidimensional Mass Spectrometry-Based Targeted Proteomics. J Proteome Res 2021; 20:2299-2307. [PMID: 33843226 DOI: 10.1021/acs.jproteome.0c00826] [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
Abnormal expression of Tau protein can cause the development of Alzheimer's disease (AD). So far, much evidence has demonstrated that Tau has multiple isoforms. These isoforms are suggested to have distinct physiological roles and contribute unequally to the progress of AD. Thus, detection of individual Tau isoforms may be helpful to better understand the link between clinical outcome and Tau status and to further improve AD diagnosis and treatment. However, few studies have been conducted on absolute quantification of Tau isoforms, probably due to high sequence homology and also low abundance of these isoforms in biofluids such as cerebrospinal fluid (CSF). Therefore, mass spectrometry-based targeted proteomics was attempted here. This targeted proteomics approach can principally measure a protein of interest at the surrogate peptide level, yet little has been done to detect protein isoforms, probably due to lack of isoform-specific surrogate peptides in mass spectrometry. In this study, separations in more dimensions were added, including immunoprecipitation (IP) and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) for sample pretreatment and systems of linear equations for post-lab data extraction. Moreover, the reliability of the approach including IP enrichment, gel separation, and linear algebra algorithms was discussed. As a result, each isoform of Tau protein can be individually detected and quantified. Using IP enrichment, ∼250-fold enhancement of sensitivity was achieved. The ultimate LOQ was 0.50 nM. Finally, this multidimensional mass spectrometry-based targeted proteomics assay was validated and applied to simultaneous quantitative analysis of six Tau isoforms in CSF of AD patients.
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Affiliation(s)
- Mengying Xu
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Meiyan Lu
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Wenjun Zhang
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Qingwen Jin
- Sir Run Run Hospital Affiliated to Nanjing Medical University, Nanjing 211100, China
| | - Yun Chen
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China.,State Key Laboratory of Reproductive Medicine, Nanjing 210029, China.,Key Laboratory of Cardiovascular & Cerebrovascular Medicine, Nanjing 210029, China
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CRIP1 cooperates with BRCA2 to drive the nuclear enrichment of RAD51 and to facilitate homologous repair upon DNA damage induced by chemotherapy. Oncogene 2021; 40:5342-5355. [PMID: 34262130 PMCID: PMC8390368 DOI: 10.1038/s41388-021-01932-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 06/09/2021] [Accepted: 06/28/2021] [Indexed: 02/06/2023]
Abstract
Homologous recombination (HR) repair is an important determinant of chemosensitivity. However, the mechanisms underlying HR regulation remain largely unknown. Cysteine-rich intestinal protein 1 (CRIP1) is a member of the LIM/double-zinc finger protein family and is overexpressed and associated with prognosis in several tumor types. However, to date, the functional role of CRIP1 in cancer biology is poorly understood. Here we found that CRIP1 downregulation causes HR repair deficiency with concomitant increase in cell sensitivity to cisplatin, epirubicin, and the poly ADP-ribose polymerase (PARP) inhibitor olaparib in gastric cancer cells. Mechanistically, upon DNA damage, CRIP1 is deubiquitinated and upregulated by activated AKT signaling. CRIP1, in turn, promotes nuclear enrichment of RAD51, which is a prerequisite step for HR commencement, by stabilizing BRCA2 to counteract FBXO5-targeted RAD51 degradation and by binding to the core domain of RAD51 (RAD51184-257) in coordination with BRCA2, to facilitate nuclear export signal masking interactions between BRCA2 and RAD51. Moreover, through mass spectrometry screening, we found that KPNA4 is at least one of the carriers controlling the nucleo-cytoplasmic distribution of the CRIP1-BRCA2-RAD51 complex in response to chemotherapy. Consistent with these findings, RAD51 inhibitors block the CRIP1-mediated HR process, thereby restoring chemotherapy sensitivity of gastric cancer cells with high CRIP1 expression. Analysis of patient specimens revealed an abnormally high level of CRIP1 expression in GC tissues compared to that in the adjacent normal mucosa and a significant negative association between CRIP1 expression and survival time in patient cohorts with different types of solid tumors undergoing genotoxic treatments. In conclusion, our study suggests an essential function of CRIP1 in promoting HR repair and facilitating gastric cancer cell adaptation to genotoxic therapy.
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Karakostis K, López I, Peña-Balderas AM, Fåhareus R, Olivares-Illana V. Molecular and Biochemical Techniques for Deciphering p53-MDM2 Regulatory Mechanisms. Biomolecules 2020; 11:36. [PMID: 33396576 PMCID: PMC7824699 DOI: 10.3390/biom11010036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 12/12/2020] [Accepted: 12/14/2020] [Indexed: 12/12/2022] Open
Abstract
The p53 and Mouse double minute 2 (MDM2) proteins are hubs in extensive networks of interactions with multiple partners and functions. Intrinsically disordered regions help to adopt function-specific structural conformations in response to ligand binding and post-translational modifications. Different techniques have been used to dissect interactions of the p53-MDM2 pathway, in vitro, in vivo, and in situ each having its own advantages and disadvantages. This review uses the p53-MDM2 to show how different techniques can be employed, illustrating how a combination of in vitro and in vivo techniques is highly recommended to study the spatio-temporal location and dynamics of interactions, and to address their regulation mechanisms and functions. By using well-established techniques in combination with more recent advances, it is possible to rapidly decipher complex mechanisms, such as the p53 regulatory pathway, and to demonstrate how protein and nucleotide ligands in combination with post-translational modifications, result in inter-allosteric and intra-allosteric interactions that govern the activity of the protein complexes and their specific roles in oncogenesis. This promotes elegant therapeutic strategies that exploit protein dynamics to target specific interactions.
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Affiliation(s)
- Konstantinos Karakostis
- Inserm UMRS1131, Institut de Génétique Moléculaire, Université Paris 7, Hôpital St. Louis, F-75010 Paris, France; (K.K.); (R.F.)
| | - Ignacio López
- Biochemistry-Molecular Biology, Faculty of Science, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay;
| | - Ana M. Peña-Balderas
- Laboratorio de Interacciones Biomoleculares y Cáncer, Instituto de Física Universidad Autónoma de San Luis Potosí, Manuel Nava 6, Zona Universitaria, San Luis Potosí 78290, Mexico;
| | - Robin Fåhareus
- Inserm UMRS1131, Institut de Génétique Moléculaire, Université Paris 7, Hôpital St. Louis, F-75010 Paris, France; (K.K.); (R.F.)
- Regional Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, Zluty Kopec 7, 65653 Brno, Czech Republic
- Department of Medical Biosciences, Building 6M, Umeå University, 90185 Umeå, Sweden
- International Center for Cancer Vaccine Science (ICCVS), University of Gdańsk, Science, ul. Wita Stwosza 63, 80-308 Gdańsk, Poland
| | - Vanesa Olivares-Illana
- Laboratorio de Interacciones Biomoleculares y Cáncer, Instituto de Física Universidad Autónoma de San Luis Potosí, Manuel Nava 6, Zona Universitaria, San Luis Potosí 78290, Mexico;
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Ghantasala S, Gollapalli K, Epari S, Moiyadi A, Srivastava S. Glioma tumor proteomics: clinically useful protein biomarkers and future perspectives. Expert Rev Proteomics 2020; 17:221-232. [PMID: 32067544 DOI: 10.1080/14789450.2020.1731310] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Introduction: Despite being rare cancers, gliomas account for a significant number of cancer-related deaths. Identification and treatment of these tumors at an early stage would greatly improve the therapeutic outcomes. There is an urgent need for diagnostic and prognostic markers, which can identify disease early and discriminate the subtypes of these tumors thereby improving the existing treatment modalities.Areas covered: In this article, we have reviewed published literature on proteomics biomarkers for gliomas and their importance in diagnosis or prognosis. Proteomic studies for the discovery of protein, autoantibody biomarkers, and biological pathway alterations in serum, CSF and tumor biopsies have been discussed in this review.Expert opinion: The rapid development in the field of mass spectrometry and increased sensitivity and reproducibility in assays has led to the identification and quantification of large number of proteins very precisely. Though genomic markers are the prime focus in the classification of gliomas, incorporating protein markers would further improve the existing classification. In this regard, data mining and studies on large cohorts of glioma patients would help in the identification of diagnostic and prognostic markers ultimately translating to the clinics.
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Affiliation(s)
- Saicharan Ghantasala
- Centre for Research in Nanotechnology and Science, Indian Institute of Technology Bombay, Mumbai, India
| | - Kishore Gollapalli
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.,Department of Pathology & Cell Biology, Columbia University Medical Center, New York, NY, USA.,Center for Motor Neuron Biology & Disease, Columbia University Medical Center, New York, NY, USA
| | - Sridhar Epari
- Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Aliasgar Moiyadi
- Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Sanjeeva Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India
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Sum of peak intensities outperforms peak area integration in iTRAQ protein expression measurement by LC-MS/MS using a TripleTOF 5600+ platform. Biosci Rep 2019; 39:BSR20190904. [PMID: 31110078 PMCID: PMC6554230 DOI: 10.1042/bsr20190904] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 05/08/2019] [Accepted: 05/16/2019] [Indexed: 11/17/2022] Open
Abstract
In the field of quantitative proteomics, the Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) technology has demonstrated efficacy for proteome monitoring despite its lack of a consensus for data handling. In the present study, after peptide and protein identification, we compared the widespread quantitation method based on the calculation of MS/MS reporter ion peaks areas ratios (ProteinPilot) to the alternative method based on the calculation of ratios of the sum of peak intensities (jTRAQx [Quant]) and we processed output data with the in-house Customizable iTRAQ Ratios Calculator (CiR-C) algorithm. Quantitation based on peak area ratios displayed no significant linear correlation with Western blot quantitation. In contrast, quantitation based on the sum of peak intensities displayed a significant linear association with Western blot quantitation (non-zero slope; Pearson correlation coefficient test, r = 0.296, P=0.010**) with an average bias of 0.087 ± 0.500 and 95% Limits of Agreement from −0.893 to 1.068. We proposed the Mascot-jTRAQx-CiR-C strategy as a simple yet powerful data processing adjunct to the iTRAQ technology.
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Wu L, Hu Y, He Y, Xia Y, Lu H, Cao Z, Yi X, Wang J. Dual-channel surface plasmon resonance monitoring of intracellular levels of the p53-MDM2 complex and caspase-3 induced by MDM2 antagonist Nutlin-3. Analyst 2019; 144:3959-3966. [PMID: 31134974 DOI: 10.1039/c9an00301k] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
MDM2 can mediate the degradation of tumor suppressor p53 through an autoregulatory feedback loop, in which MDM2 abolishes wild-type p53 function and accelerates malignant transformation. However, the incorporation of MDM2 antagonist Nutlin-3 could reactivate the transcriptional activity of p53, up-regulate caspase-3, and induce apoptosis. In this work, the simultaneous and label-free monitoring of p53-MDM2 complex and caspase-3 levels in cancer cells before and after Nutlin-3 treatment was conducted using dual-channel surface plasmon resonance (SPR). The p53-MDM2 complex was captured in one fluidic channel covered with consensus double-stranded (ds)-DNA, while the other channel was pre-immobilized with caspase-3-specific biotinylated DEVD-containing peptides. To amplify the SPR signals, the attachment of streptavidin (SA)-conjugated anti-MDM2 antibody in both channels was achieved. The signal diversity before and after Nutlin-3 treatment is indicative of the difference in the levels of the intracellular p53-MDM2 complex and caspase-3. The limit of detection for p53-MDM2 and caspase-3 down to 4.54 pM and 0.03 ng mL-1, respectively, was attained. Upon treatment with Nutlin-3, MCF-7 cancer cells with wild-type p53 showed decreased expression of the p53-MDM2 complex and an increased caspase-3 level, while MDA-MB-231 cancer cells with mutant p53 exhibited an elevated caspase-3 level and unchanged p53-MDM2 complex expression. The apoptosis of MCF-7 and MDA-MB-231 cancer cells upon Nutlin-3 treatment follows a p53-dependent and a p53-independent pathway, respectively. The proposed method is sensitive, selective and label-free, holding great promise for assaying intracellular p53-MDM2 complex and caspase-3 levels and differentiating Nutlin-3-mediated p53-dependent or p53-independent apoptotic pathways.
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Affiliation(s)
- Ling Wu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, P. R China.
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9
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Proteomics turns functional. J Proteomics 2019; 198:36-44. [DOI: 10.1016/j.jprot.2018.12.012] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 12/11/2018] [Accepted: 12/12/2018] [Indexed: 02/06/2023]
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Abstract
Targeted proteomics detects proteins of interest with high sensitivity, quantitative accuracy, and reproducibility. In a targeted proteomics assay, surrogate peptides are generated by proteolytic digestion of target proteins and selected reaction monitoring (SRM) assays are developed to quantify these peptides using liquid chromatography-tandem mass spectrometry (LC-MS/MS). In this report, we describe the details of quantitative analysis of target protein in cells and tissue samples.
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Affiliation(s)
- Yun Chen
- School of Pharmacy, Nanjing Medical University, Nanjing, China.
| | - Liang Liu
- School of Pharmacy, Nanjing Medical University, Nanjing, China
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11
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Zhang W, Zhang T, Chen Y. Simultaneous quantification of Cyt c interactions with HSP27 and Bcl-xL using molecularly imprinted polymers (MIPs) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based targeted proteomics. J Proteomics 2018; 192:188-195. [PMID: 30237093 DOI: 10.1016/j.jprot.2018.09.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2018] [Revised: 08/21/2018] [Accepted: 09/05/2018] [Indexed: 01/03/2023]
Abstract
Cytochrome c (Cyt c) plays an important role in cell apoptosis. However, it could be functionally compromised by interaction with anti-apoptosis proteins, known as protein-protein interactions (PPIs). Among the proteins potentially interacting with Cyt c, both HSP27 and Bcl-xL serve as pivotal anti-apoptosis proteins. Because multiple PPIs, especially those involve the same protein, could affect each other, their simultaneous and quantitative detection is highly needed. In this study, a combined approach of molecularly imprinted polymers (MIPs) and LC-MS/MS-based targeted proteomics was developed for simultaneous quantification of Cyt c-HSP27 and Cyt c-Bcl-xL interactions. Surrogate peptides of Cyt c, HSP27 and Bcl-xL were first selected and used for the corresponding proteins quantification in targeted proteomics analysis. For MIPs, epitope approach was employed and a short peptide of Cyt c was selected as template for protein complexes recognition and enrichment. The characteristics of the synthesized MIPs including adsorption capacity, kinetics and efficiency were then evaluated. After validation, this combined assay was applied to quantitative analysis of total Cyt c including Cyt c in mitochondria and cytosol, total HSP27, total Bcl-xL and Cyt c-HSP27 and Cyt c-Bcl-xL protein complexes in breast cells. The result was also compared with that using Co-IP/Western Blotting. SIGNIFICANCE: Protein-protein interactions (PPIs) are essential for many cellular processes and the changes of PPIs are often associated with cellular dysfunction. More importantly, each protein typically has more than one interaction partner and multiple PPIs, especially those involve the same protein, could affect each other. The selectivity of these interactions determines the activities of proteins and further the developmental potential of the cell. Thus, simultaneous and quantitative detection of multiple PPIs is highly needed in biological research and related disciplines. However, it is still challenging to even qualitatively or semi-quantitatively analyze multiple PPIs because of the limitations of current experimental techniques for interaction detection. In this study, molecularly imprinted polymers (MIPs) epitope approach was combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) targeted proteomics for the simultaneous and quantitative detection of Cyt c-HSP27 and Cyt c-Bcl-xL interactions in breast cancer. Given high sensitivity, high selectivity and wide dynamic range of LC-MS/MS, MIPs approach was employed here to separate and enrich protein complexes prior to targeted proteomics analysis.
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Affiliation(s)
- Wen Zhang
- Nanjing Medical University, Nanjing 211166, China; Changzhou Maternal and Child Health Care Hospital, Changzhou 213003, China
| | - Tianqi Zhang
- Nanjing Medical University, Nanjing 211166, China
| | - Yun Chen
- Nanjing Medical University, Nanjing 211166, China; State Key Laboratory of Reproductive Medicine, 210029, China.
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Jiang W, Liu L, Chen Y. Simultaneous Detection of Human C-Terminal p53 Isoforms by Single Template Molecularly Imprinted Polymers (MIPs) Coupled with Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)-Based Targeted Proteomics. Anal Chem 2018; 90:3058-3066. [DOI: 10.1021/acs.analchem.7b02890] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Wenting Jiang
- School of Pharmacy, Nanjing Medical University, 818 Tian Yuan East Road, Nanjing, Jiangsu, China, 211166
| | - Liang Liu
- School of Pharmacy, Nanjing Medical University, 818 Tian Yuan East Road, Nanjing, Jiangsu, China, 211166
| | - Yun Chen
- School of Pharmacy, Nanjing Medical University, 818 Tian Yuan East Road, Nanjing, Jiangsu, China, 211166
- China State Key Laboratory of Reproductive Medicine, Nanjing, China 210029
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Xiao M, Yang J, Feng Y, Zhu Y, Chai X, Wang Y. Metaproteomic strategies and applications for gut microbial research. Appl Microbiol Biotechnol 2017; 101:3077-3088. [PMID: 28293710 DOI: 10.1007/s00253-017-8215-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2017] [Revised: 02/28/2017] [Accepted: 03/04/2017] [Indexed: 01/16/2023]
Abstract
The human intestine hosts various complex microbial communities that are closely associated with multiple health and disease processes. Determining the composition and function of these microbial communities is critical to unveil disease mechanisms and promote human health. Recently, meta-omic strategies have been developed that use high-throughput techniques to provide a wealth of information, thus accelerating the study of gut microbes. Metaproteomics is a newly emerged analytical approach that aims to identify proteins on a large scale in complex environmental microbial communities (e.g., the gut microbiota). This review introduces the recent analytical strategies and applications of metaproteomics, with a focus on advances in gut microbiota research, including a discussion of the limitations and challenges of these approaches.
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Affiliation(s)
- Mingming Xiao
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.,Research and Development Center of Traditional Chinese Medicine, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin, 300457, China
| | - Junjun Yang
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.,Research and Development Center of Traditional Chinese Medicine, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin, 300457, China
| | - Yuxin Feng
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.,Research and Development Center of Traditional Chinese Medicine, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin, 300457, China
| | - Yan Zhu
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.,Research and Development Center of Traditional Chinese Medicine, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin, 300457, China
| | - Xin Chai
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.,Research and Development Center of Traditional Chinese Medicine, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin, 300457, China
| | - Yuefei Wang
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China. .,Research and Development Center of Traditional Chinese Medicine, Tianjin International Joint Academy of Biotechnology and Medicine, Tianjin, 300457, China.
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