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DeCaprio J, Kohl TO. Tandem Immunoaffinity Purification Using Anti-FLAG and Anti-HA Antibodies. Cold Spring Harb Protoc 2019; 2019:2019/2/pdb.prot098657. [PMID: 30710027 DOI: 10.1101/pdb.prot098657] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The immunoaffinity purification of target proteins followed by the identification and characterization of associated proteins by mass spectrometry is a widely used technique. An immunoaffinity purification bears resemblance to a standard immunoprecipitation; however, the end product for mass spectrometric analysis in the femtomole (10-15) to attomole (10-18) range is required to be of exceptional purity. This high degree of sensitivity in detection renders it of extreme importance to eliminate most if not all of the nonspecific background proteins and can be achieved by performing a tandem affinity purification (TAP). In TAP, the cDNA of the target protein is engineered to contain at least two different epitope tags, and the target protein is extracted under nondenaturing conditions upon expression using an appropriate protein expression platform (CHO cells, HEK 293 cells, or yeast). The expressed protein is initially immunoprecipitated using an antibody against one epitope tag and is eluted in the presence of excess peptide by competition for antibody-binding sites, before being reimmunoprecipitated using an antibody that specifically recognizes the second epitope. These sequential immunoprecipitations significantly reduce the presence of associated nonspecific proteins. Numerous combinations of epitope tags have been applied for tandem affinity purification, and this protocol illustrates the use of tandem hemagglutinin (HA) and FLAG epitope tags. The first immunoprecipitation uses an anti-FLAG antibody followed by the elution in the presence of a competing FLAG peptide before the reimmunoprecipitation of the protein using an anti-HA antibody. Numerous high-quality antiepitope tag antibodies are commercially available from different antibody manufacturers.
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Herber J, Njavro J, Feederle R, Schepers U, Müller UC, Bräse S, Müller SA, Lichtenthaler SF. Click Chemistry-mediated Biotinylation Reveals a Function for the Protease BACE1 in Modulating the Neuronal Surface Glycoproteome. Mol Cell Proteomics 2018; 17:1487-1501. [PMID: 29716987 DOI: 10.1074/mcp.ra118.000608] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 04/16/2018] [Indexed: 01/09/2023] Open
Abstract
The cell surface proteome is dynamic and has fundamental roles in cell signaling. Many surface membrane proteins are proteolytically released into a cell's secretome, where they can have additional functions in cell-cell-communication. Yet, it remains challenging to determine the surface proteome and to compare it to the cell secretome, under serum-containing cell culture conditions. Here, we set up and evaluated the 'surface-spanning protein enrichment with click sugars' (SUSPECS) method for cell surface membrane glycoprotein biotinylation, enrichment and label-free quantitative mass spectrometry. SUSPECS is based on click chemistry-mediated labeling of glycoproteins, is compatible with labeling of living cells and can be combined with secretome analyses in the same experiment. Immunofluorescence-based confocal microscopy demonstrated that SUSPECS selectively labeled cell surface proteins. Nearly 700 transmembrane glycoproteins were consistently identified at the surface of primary neurons. To demonstrate the utility of SUSPECS, we applied it to the protease BACE1, which is a key drug target in Alzheimer's disease. Pharmacological BACE1-inhibition selectively remodeled the neuronal surface glycoproteome, resulting in up to 7-fold increased abundance of the BACE1 substrates APP, APLP1, SEZ6, SEZ6L, CNTN2, and CHL1, whereas other substrates were not or only mildly affected. Interestingly, protein changes at the cell surface only partly correlated with changes in the secretome. Several altered proteins were validated by immunoblots in neurons and mouse brains. Apparent nonsubstrates, such as TSPAN6, were also increased, indicating that BACE1-inhibition may lead to unexpected secondary effects. In summary, SUSPECS is broadly useful for determination of the surface glycoproteome and its correlation with the secretome.
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Affiliation(s)
- Julia Herber
- From the ‡German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,§Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Jasenka Njavro
- From the ‡German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,§Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Regina Feederle
- From the ‡German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,¶Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,‖Institute for Diabetes and Obesity, Monoclonal Antibody Research Group, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Munich, Germany
| | - Ute Schepers
- **Karlsruhe Institute of Technology (KIT), Institute of Toxicology and Genetics (ITG), Karlsruhe, Germany
| | - Ulrike C Müller
- ‡‡Department of Functional Genomics, Institute for Pharmacy and Molecular Biotechnology, Heidelberg University Heidelberg, Germany
| | - Stefan Bräse
- **Karlsruhe Institute of Technology (KIT), Institute of Toxicology and Genetics (ITG), Karlsruhe, Germany
| | - Stephan A Müller
- From the ‡German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,§Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Stefan F Lichtenthaler
- From the ‡German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; .,§Neuroproteomics, School of Medicine, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.,¶Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,§§Institute for Advanced Study, Technische Universität München, Munich, Germany
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Affiliation(s)
- Agata H. Bryk
- Biochemical Proteomics Group,
Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany
| | - Jacek R. Wiśniewski
- Biochemical Proteomics Group,
Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany
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Li J, Gao J, Jiang M, Chen J, Liu Z, Chen P, Liang S. Rat liver sinusoidal surface N-linked glycoproteomic analysis by affinity enrichment and mass spectrometric identification. BIOCHEMISTRY (MOSCOW) 2015; 80:260-75. [PMID: 25761681 DOI: 10.1134/s0006297915030025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Glycosylation in liver is one of the most biologically important protein modifications. It plays critical roles in many physiological and pathological processes by virtue of its unique location at the blood-tissue interface, including angiogenesis, liver cancer, cirrhosis, and fibrosis. To analyze glycosylation of plasma membrane proteins in liver sinusoidal endothelial cells (LSEC), N-glycopeptides of the LSEC surface were enriched using a filter-assisted sample preparation-based lectin affinity capture method and subsequently identified with mass spectrometry. In total, 225 unique N-glycosylation sites on 152 glycoproteins were identified, of which 119 (53%) sites had not previously been determined experimentally. Among the glycoproteins, 53% were classified as plasma membrane proteins and 47 (31%) as signaling proteins and receptors. Moreover, 23 cluster of differentiation antigens with 49 glycopeptides were detected within the membrane glycoproteins of the liver sinusoidal surface. Furthermore, bioinformatics analysis revealed that the majority of identified glycoproteins have an impact on processes of LSEC. Therefore, N-glycoproteomic analysis of the liver sinusoidal surface may provide useful information on liver regeneration and facilitate liver disease diagnosis.
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Affiliation(s)
- Jianglin Li
- Key Laboratory of Protein Chemistry and Developmental Biology of the Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, 410081, P. R. China.
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Sun B, Hood L. Protein-centric N-glycoproteomics analysis of membrane and plasma membrane proteins. J Proteome Res 2014; 13:2705-14. [PMID: 24754784 PMCID: PMC4053080 DOI: 10.1021/pr500187g] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
![]()
The advent of proteomics technology
has transformed our understanding
of biological membranes. The challenges for studying membrane proteins
have inspired the development of many analytical and bioanalytical
tools, and the techniques of glycoproteomics have emerged as an effective
means to enrich and characterize membrane and plasma-membrane proteomes.
This Review summarizes the development of various glycoproteomics
techniques to overcome the hurdles formed by the unique structures
and behaviors of membrane proteins with a focus on N-glycoproteomics.
Example contributions of N-glycoproteomics to the understanding of
membrane biology are provided, and the areas that require future technical
breakthroughs are discussed.
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Affiliation(s)
- Bingyun Sun
- Department of Chemistry, Simon Fraser University , 8888 University Drive, Burnaby, British Columbia V5A1S6, Canada
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Wiśniewski JR, Duś K, Mann M. Proteomic workflow for analysis of archival formalin-fixed and paraffin-embedded clinical samples to a depth of 10 000 proteins. Proteomics Clin Appl 2013; 7:225-33. [PMID: 23090905 DOI: 10.1002/prca.201200046] [Citation(s) in RCA: 113] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2012] [Revised: 08/03/2012] [Accepted: 09/28/2012] [Indexed: 02/06/2023]
Abstract
PURPOSE Archival formalin-fixed and paraffin-embedded clinical samples represent a very diverse source of material for proteomic investigation of diseases, often with follow-up patient information. Here, we describe an analytical workflow for analysis of laser-capture microdissected formalin-fixed and paraffin-embedded samples that allows studying proteomes to a depth of 10 000 proteins per sample. EXPERIMENTAL DESIGN The workflow involves lysis of tissue in SDS-containing buffer, detergent removal, and consecutive digestion of the proteins with two enzymes by the multienzyme digestion filter-aided sample preparation method. Resulting peptides are fractionated by pipette-tip based strong anion exchange into six fractions and analyzed by LC-MS/MS on a bench top quadrupole Orbitrap mass spectrometer. RESULTS Analysis of the data using the MaxQuant software resulted in the identification of 9502 ± 28 protein groups per a 110 nL sample of microdissected cells from human colonic adenoma. This depth of proteome analysis enables systemic insights into the organization of the adenoma cells and an estimation of the abundances of known biomarkers. It also allows the identification of proteins expressed from tumor suppressors, oncogenes, and other key players in the development and progression of the colorectal cancer. CONCLUSION AND CLINICAL RELEVANCE Our proteomic platform can be used for quantitative comparisons between samples representing different stages of diseases and thus can be applied to the discovery of biomarkers or drug targets.
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Affiliation(s)
- Jacek R Wiśniewski
- Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, Martinsried, Germany.
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Extensive quantitative remodeling of the proteome between normal colon tissue and adenocarcinoma. Mol Syst Biol 2013; 8:611. [PMID: 22968445 PMCID: PMC3472694 DOI: 10.1038/msb.2012.44] [Citation(s) in RCA: 186] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2012] [Accepted: 08/08/2012] [Indexed: 12/15/2022] Open
Abstract
In-depth proteomic analysis of microdissected colorectal cancer identifies extensive alterations in the cell-surface and nuclear proteomes between normal mucosa and adenocarcinoma, but observes strikingly little proteomic change between cancer and metastases. ![]()
First large-scale proteomic analysis of microdissected tissue from archival formalin-fixed and paraffin-embedded material. Quantitation of 7576 proteins between patient-matched samples of normal colonic mucosa, primary cancer, and nodal metastasis. Expression levels of 1808 proteins changed significantly between normal and cancer tissues. Total Protein Approach (TPA)—a new way to determine protein copy numbers per cell without protein standards.
We report a proteomic analysis of microdissected material from formalin-fixed and paraffin-embedded colorectal cancer, quantifying >7500 proteins between patient matched normal mucosa, primary carcinoma, and nodal metastases. Expression levels of 1808 proteins changed significantly between normal and cancer tissues, a much larger fraction than that reported in transcript-based studies. Tumor cells exhibit extensive alterations in the cell-surface and nuclear proteomes. Functionally similar changes in the proteome were observed comparing rapidly growing and differentiated CaCo-2 cells. In contrast, there was minimal proteomic remodeling between primary cancer and metastases, suggesting that no drastic proteome changes are necessary for the tumor to propagate in a different tissue context. Additionally, we introduce a new way to determine protein copy numbers per cell without protein standards. Copy numbers estimated in enterocytes and cancer cells are in good agreement with CaCo-2 and HeLa cells and with the literature data. Our proteomic data set furthermore allows mapping quantitative changes of functional protein classes, enabling novel insights into the biology of colon cancer.
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Abstract
Phosphopeptides are generally prepared by incorporation of suitable, protected phosphoamino acid derivatives during peptide synthesis using routine coupling protocols. The feasibility of chemical synthesis of phosphorylated peptides by Fmoc-SPPS was greatly enhanced by the introduction of the monobenzyl protecting group for the phosphate group. This minimized β-elimination of the phosphate group and made Fmoc-based synthesis of phosphopeptides the preferred synthesis strategy. Described here is our strategy for the synthesis of phosphopeptides attached to the solid support PEGA via a backbone amide linker type. This linker allows removal of side-chain protection groups without releasing the phosphopeptide from the solid support, thus enabling solid-phase-based pull-down reactions and peptide-protein interaction studies.
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Mass Spectrometry-based Proteomics and Peptidomics for Systems Biology and Biomarker Discovery. ACTA ACUST UNITED AC 2012; 7:313-335. [PMID: 24504115 DOI: 10.1007/s11515-012-1218-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The scientific community has shown great interest in the field of mass spectrometry-based proteomics and peptidomics for its applications in biology. Proteomics technologies have evolved to produce large datasets of proteins or peptides involved in various biological and disease progression processes producing testable hypothesis for complex biological questions. This review provides an introduction and insight to relevant topics in proteomics and peptidomics including biological material selection, sample preparation, separation techniques, peptide fragmentation, post-translation modifications, quantification, bioinformatics, and biomarker discovery and validation. In addition, current literature and remaining challenges and emerging technologies for proteomics and peptidomics are presented.
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Affinity-based proteomic profiling: Problems and achievements. Proteomics 2012; 12:621-37. [DOI: 10.1002/pmic.201100373] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2011] [Revised: 09/01/2011] [Accepted: 09/13/2011] [Indexed: 11/07/2022]
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Abstract
The response to extracellular stimuli often alters the phosphorylation state of plasma membrane- associated proteins. In this regard, generation of a comprehensive membrane phosphoproteome can significantly enhance signal transduction and drug mechanism studies. However, analysis of this subproteome is regarded as technically challenging, given the low abundance and insolubility of integral membrane proteins, combined with difficulties in isolating, ionizing and fragmenting phosphopeptides. In this article, we highlight recent advances in membrane and phosphoprotein enrichment techniques resulting in improved identification of these elusive peptides. We also describe the use of alternative fragmentation techniques, and assess their current and future value to the field of membrane phosphoproteomics.
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Affiliation(s)
- Benjamin C Orsburn
- Drug Mechanism Group, Developmental Therapeutics Program, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD 21702, USA
| | - Luke H Stockwin
- Drug Mechanism Group, Developmental Therapeutics Program, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD 21702, USA
| | - Dianne L Newton
- Drug Mechanism Group, Developmental Therapeutics Program, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD 21702, USA
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Wiśniewski JR, Ostasiewicz P, Mann M. High recovery FASP applied to the proteomic analysis of microdissected formalin fixed paraffin embedded cancer tissues retrieves known colon cancer markers. J Proteome Res 2011; 10:3040-9. [PMID: 21526778 DOI: 10.1021/pr200019m] [Citation(s) in RCA: 226] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Proteomic analysis of samples isolated by laser capture microdissection from clinical specimens requires sample preparation and fractionation methods suitable for small amounts of protein. Here we describe a streamlined filter-aided sample preparation (FASP) workflow that allows efficient analysis of lysates from low numbers of cells. Addition of carrier substances such as polyethylene glycol or dextran to the processed samples improves the peptide yields in the low to submicrogram range. In a single LC-MS/MS run, analyses of 500, 1000, and 3000 cells allowed identification of 905, 1536, and 2055 proteins, respectively. Incorporation of an additional SAX fractionation step at somewhat higher amounts enabled the analysis of formalin fixed and paraffin embedded human tissues prepared by LCM to a depth of 3600-4400 proteins per single experiment. We applied this workflow to compare archival neoplastic and matched normal colonic mucosa cancer specimens for three patients. Label-free quantification of more than 6000 proteins verified this technology through the differential expression of 30 known colon cancer markers. These included Carcino-Embryonic Antigen (CEA), the most widely used colon cancer marker, complement decay accelerating factor (DAF, CD55) and Metastasis-associated in colon cancer protein 1 (MACC1). Concordant with literature knowledge, mucin 1 was overexpressed and mucin 2 underexpressed in all three patients. These results show that FASP is suitable for the low level analysis of microdissected tissue and that it has the potential for exploration of clinical samples for biomarker and drug target discovery.
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Affiliation(s)
- Jacek R Wiśniewski
- Department of Proteomics and Signal Transduction, Max-Planck-Institute of Biochemistry, D-82152 Martinsried, Germany.
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