Evaluation of sample preparation methods for the analysis of papaya leaf proteins through two‐dimensional gel electrophoresis

Introduction – A variety of sample preparation protocols for plant proteomic analysis using two‐dimensional gel electrophoresis (2‐DE) have been reported. However, they usually have to be adapted and further optimised for the analysis of plant species not previously studied. Objective – This work aimed to evaluate different sample preparation protocols for analysing Carica papaya L. leaf proteins through 2‐DE. Methodology – Four sample preparation methods were tested: (1) phenol extraction and methanol–ammonium acetate precipitation; (2) no precipitation fractionation; and the traditional trichloroacetic acid–acetone precipitation either (3) with or (4) without protein fractionation. The samples were analysed for their compatibility with SDS–PAGE (1‐DE) and 2‐DE. Fifteen selected protein spots were trypsinised and analysed by matrix‐assisted laser desorption/ionisation time‐of‐flight tandem mass spectrometry (MALDI‐TOF‐MS/MS), followed by a protein search using the NCBInr database to accurately identify all proteins. Results – Methods number 3 and 4 resulted in large quantities of protein with good 1‐DE separation and were chosen for 2‐DE analysis. However, only the TCA method without fractionation (no. 4) proved to be useful. Spot number and resolution advances were achieved, which included having an additional solubilisation step in the conventional TCA method. Moreover, most of the theoretical and experimental protein molecular weight and pI data had similar values, suggesting good focusing and, most importantly, limited protein degradation. Conclusion – The described sample preparation method allows the proteomic analysis of papaya leaves by 2‐DE and mass spectrometry (MALDI‐TOF‐MS/MS). The methods presented can be a starting point for the optimisation of sample preparation protocols for other plant species. Copyright © 2009 John Wiley & Sons, Ltd.     

Protein extraction from the earthworm Eisenia fetida for 2‐DE

We identified an efficient protocol for extracting proteins from whole earthworm, Eisenia fetida, for 2‐DE. Sample preparation is a critical step in a 2‐DE proteome approach and is absolutely essential for obtaining good results. Six protein extraction protocols based on different protein precipitation agents were tested and evaluated using 2‐DE. The methods generated remarkably different 2‐DE protein spot patterns. We conclude that trichloroacetic acid (TCA)‐A eliminates interfering compounds, thus allowing for the efficient resolubilization of proteins. TCA‐A gives good distinction, more bands in 1‐DE gels, and the most number of protein spots in 2‐DE gels. It is also rapid, provides the higher protein yield, and has the less number of steps. To demonstrate the quality of the extracted proteins, we cut several protein spots that were common to four methods from 2‐DE gels, analyzed them using MALDI‐TOF/TOF MS, and tentatively identified them. The classic TCA‐A method proved to be most useful as a standard method of extracting proteins from E. fetida.     

PROTEOMICS OF THE RED ALGA,GRACILARIA CHANGII (GRACILARIALES,RHODOPHYTA)1

The application of proteomics in alga research is still quite limited. The present report describes the establishment of the proteome of a red alga of economic importance, Gracilaria changii (Xia et Abbott) Abbott, Zhang et Xia. Initially, four protein extraction methods including direct precipitation by trichloroacetic acid/acetone, direct lysis using urea buffer, Tris buffer, and phenol/chloroform extraction were compared for their suitability to generate G. changii proteins for two‐dimensional gel electrophoresis (2‐DE). The phenol/chloroform protein extraction method gave the best 2‐DE resolution of the proteins. Using these 2‐DE gels and mass spectrometry, several proteins including pigment proteins, metabolic enzymes, and ion transporters were identified. These findings highlight the potential of using proteomic approaches for the investigation of G. changii protein function.     

Copper stress‐induced changes in leaf soluble proteome of Cu‐sensitive and tolerant Agrostis capillaris L. populations

Changes in leaf soluble proteome were explored in 3‐month‐old plants of metallicolous (M) and nonmetallicolous (NM) Agrostis capillaris L. populations exposed to increasing Cu concentrations (1–50 μM) to investigate molecular mechanisms underlying plant responses to Cu excess and tolerance of M plants. Plants were cultivated on perlite (CuSO₄ spiked‐nutrient solution). Soluble proteins, extracted by the trichloroacetic acid/acetone procedure, were separated with 2‐DE (linear 4–7 pH gradient). Analysis of CCB‐stained gels (PDQuest) reproducibly detected 214 spots, and 64 proteins differentially expressed were identified using LC‐MS/MS. In both populations, Cu excess impacted both light‐dependent (OEE, cytochrome b6‐f complex, and chlorophyll a‐b binding protein), and ‐independent (RuBisCO) photosynthesis reactions, more intensively in NM leaves (ferredoxin‐NADP reductase and metalloprotease FTSH2). In both populations, upregulation of isocitrate dehydrogenase and cysteine/methionine synthases respectively suggested increased isocitrate oxidation and enhanced need for S‐containing amino‐acids, likely for chelation and detoxification. In NM leaves, an increasing need for energetic compounds was indicated by the stimulation of ATPases, glycolysis, pentose phosphate pathway, and Calvin cycle enzymes; impacts on protein metabolism and oxidative stress increase were respectively suggested by the rise of chaperones and redox enzymes. Overexpression of a HSP70 may be pivotal for M Cu tolerance by protecting protein metabolism. All MS data have been deposited in the ProteomeXchange with the dataset identifier PXD001930 ( http//proteomecentral.proteomexchange.org/dataset/PXD001930 ).     

Helicobacter pylori proteomics by 2‐DE/MS, 1‐DE‐LC/MS and functional data mining

With its predicted proteome of 1550 proteins (data set Etalon) Helicobacter pylori 26695 represents a perfect model system of medium complexity for investigating basic questions in proteomics. We analyzed urea‐solubilized proteins by 2‐DE/MS (data set 2‐DE) and by 1‐DE‐LC/MS (Supprot); proteins insoluble in 9 M urea but solubilized by SDS (Pellet); proteins precipitating in the Sephadex layer at the application side of IEF (Sephadex) by 1‐DE‐LC/MS; and proteins precipitating close to the application side within the IEF gel by LC/MS (Startline). The experimental proteomics data of H. pylori comprising 567 proteins (protein coverage: 36.6%) were stored in the Proteome Database System for Microbial Research ( http://www.mpiib‐berlin.mpg.de/2D‐PAGE/ ), which gives access to raw mass spectra (MALDI‐TOF/TOF) in T2D format, as well as to text files of peak lists. For data mining the protein mapping and comparison tool PROMPT ( http://webclu.bio.wzw.tum.de/prompt/ ) was used. The percentage of proteins with transmembrane regions, relative to all proteins detected, was 0, 0.2, 0, 0.5, 3.8 and 6.3% for 2‐DE, Supprot, Startline, Sephadex, Pellet, and Etalon, respectively. 2‐DE does not separate membrane proteins because they are insoluble in 9 M urea/70 mM DTT and 2% CHAPS. SDS solubilizes a considerable portion of the urea‐insoluble proteins and makes them accessible for separation by SDS‐PAGE and LC. The 2‐DE/MS analysis with urea‐solubilized proteins and the 1‐DE‐LC/MS analysis with the urea‐insoluble protein fraction (Pellet) are complementary procedures in the pursuit of a complete proteome analysis. Access to the PROMPT‐generated diagrams in the Proteome Database allows the mining of experimental data with respect to other functional aspects.     

Comparative studies of four protein preparation methods for proteomic study of the dinoflagellate Alexandrium sp. using two-dimensional electrophoresis

Alexandrium is a wide-spread genus of dinoflagellate causing harmful algal blooms and paralytic shellfish poisoning around the world. Proteomics has been introduced to the study of Alexandrium, but the protein preparation method is still unsatisfactory with respect to protein spot number, separation and resolution, and this has limited the application of a proteomic approach to the study of dinoflagellates. In this study we compared four protein preparation methods for the two-dimensional electrophoresis (2DE) analysis of A. tamarense: (1) urea/Triton X-100 buffer extraction with trichloroacetic acid (TCA)/acetone precipitation; (2) direct precipitation with TCA/acetone; (3) 40 mM Tris (hydroxymethyl) aminomethane (Tris) buffer extraction; and (4) 50 mM Tris/5% glycerol buffer extraction. The results showed that, among the four protein preparation methods, the method combining the urea/Triton X-100 buffer extraction and TCA/acetone precipitation allowed detection of the highest number and quality of protein spots with a clear background. Although the direct TCA/acetone precipitation method also detected a high number of protein spots with a clear background, the spot number, separation and intensity were not as good as those obtained from the urea/Triton X-100 buffer extraction with TCA/acetone precipitation method. The 40 mM Tris buffer and 50 mM Tris/5% glycerol buffer methods allowed the detection of fewer protein spots and a pH range only from 4 to 7. Subsequently, the urea/Triton X-100 buffer extraction with TCA/acetone precipitation method was successfully applied to profiling protein expression in A. catenella under light stress conditions and the differential expression proteins were identified using MALDI TOF–TOF mass spectrometry. The method developed here appears to be promising for further proteomic studies of this organism and related species.     

A proteomic approach for identifying cellular proteins interacting with erythropoietin in recombinant Chinese hamster ovary cells

Identification of the cellular proteins interacting with incompletely folded and unfolded forms of erythropoietin (EPO) in recombinant CHO (rCHO) cells leads to better insight into the possible genetic manipulation approaches for increasing EPO production. To do so, a pull‐down assay was performed with dual‐tagged (N‐terminal GST‐ and C‐terminal hexahistidine‐tagged) EPO expressed in E. coli as bait proteins and cell lysates of rCHO cells (DG44) as prey proteins. Cellular proteins interacting with dual‐tagged EPO were then resolved by two‐dimensional gel electrophoresis (2DE) and identified by MALDI‐TOF MS/MS. A total of 27 protein spots including glucose‐regulated protein 78 (GRP78) were successfully identified. Western blot analysis of GRP78 confirmed the results of the MS analyses. Taken together, a pull‐down assay followed by a proteomic approach is found to be an efficient means to identify cellular proteins interacting with foreign protein in rCHO cells. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Protein profile of Lupinus texensis phloem sap exudates: Searching for Fe‐ and Zn‐containing proteins

The aim of this study was to obtain a comprehensive overview of the phloem sap protein profile of Lupinus texensis, with a special focus on proteins binding Fe and Zn. L. texensis was chosen as model plant given the simplicity to obtain exudates from sieve elements. Protein profiling by 2DE revealed 249 spots, and 54 of them were unambiguously identified by MALDI‐MS and ESI‐MS/MS. The largest number of identified protein species belongs to protein modification/turnover and general metabolism (19–21%), followed by redox homeostasis (9%) and defense and cell structural components (7%). This protein profile is similar to that reported in other plant species, suggesting that the phloem sap proteome is quite conserved. Staining of 2DE gels for Fe‐containing proteins and affinity chromatography experiments revealed the presence of two low molecular weight Fe‐binding proteins in phloem sap: a metallothionein‐like protein type 2B identified in the Fe‐affinity chromatography, and a second protein identified with both Fe staining methods. This protein species had a molecular weight of 13.5 kDa, a pI of 5.6 and 51% homology to a phloem‐specific protein from Medicago truncatula. Zinc affinity chromatography revealed four Zn‐binding proteins in phloem sap, one belonging to the dehydrin family and three Zn finger proteins.     

A two‐dimensional proteome map of the aflatoxigenic fungus Aspergillus flavus

The filamentous fungus Aspergillus flavus is an opportunistic soil‐borne pathogen that produces aflatoxins, the most potent naturally occurring carcinogenic compounds known. This work represents the first gel‐based profiling analysis of A. flavus proteome and establishes a 2D proteome map. Using 2DE and MALDI‐TOF‐MS/MS, we identified 538 mycelial proteins of the aflatoxigenic strain NRRL 3357, the majority of which were functionally annotated as related to various cellular metabolic and biosynthetic processes. Additionally, a few enzymes from the aflatoxin synthesis pathway were also identified.     

Evaluation of protein extraction protocols for 2DE in marine ecotoxicoproteomics

In ecotoxicoproteomics, an accurate and reproducible extraction of proteins is a critical step for 2DE analysis and further protein identification using MS. The criteria for the assessment of protein extraction quality include protein yield, protein spots resolved in a 2DE gel, matched protein spots in replicate gels, reproducibility, and compatibility with MS. In this work, we evaluated three protein extraction systems, straightforward lysis buffer, trichloroacetic acid–acetone, and TRIzol reagent with some modifications, for the protein extraction from three animal species including mussel Mytilus galloprovincialis, flounder Paralichthys olivaceus, and polychaete Nereis diversicolor used in marine ecotoxicology. Our results indicated that these methods could extract significantly different protein profiles. The method using TRIzol reagent resulted in the most matched protein spots resolved in four replicate 2DE gels and highest reproducibilities for the gill of M. galloprovincialis and liver of P. olivaceus. However, a modified trichloroacetic acid–acetone solvent system was best for the whole soft tissue of N. diversicolor. This work provides the fundamental information of the extraction quality of protein extraction protocols from different marine animals, which may facilitate the selection of a suitable protein extraction protocol for ecotoxicoproteomics.     

Two‐dimensional proteome reference maps for the human pathogenic filamentous fungus Aspergillus fumigatus

The filamentous fungus Aspergillus fumigatus has become the most important airborne fungal pathogen causing life‐threatening infections in immunosuppressed patients. We established a 2‐D reference map for A. fumigatus. Using MALDI‐TOF‐MS/MS, we identified 381 spots representing 334 proteins. Proteins involved in cellular metabolism, protein synthesis, transport processes and cell cycle were most abundant. Furthermore, we established a protocol for the isolation of mitochondria of A. fumigatus and developed a mitochondrial proteome reference map. 147 proteins represented by 234 spots were identified.     

Protein reference mapping of dihydrofolate reductase‐deficient CHO DG44 cell lines using 2‐dimensional electrophoresis

Chinese hamster ovary (CHO) cells are the major mammalian host for producing various therapeutic proteins. Among CHO cells, the dihydrofolate reductase‐deficient CHO DG44 cell line has been used as a popular mammalian host because of the availability of a well‐characterized genetic selection and amplification system. However, this cell line has not been studied at the proteome level. Here, the first detailed proteome analysis of the CHO DG44 cell line is described. A protein reference map of the CHO DG44 cell line was established by analyzing whole cellular proteins using 2‐DE with various immobilized pH gradients (pHs 3–10, 5–8, and 3–6) in the first dimension and a 12% acrylamide gel in the second dimension. The map is composed of over 1400 silver‐stained protein spots. Among them, 179 protein spots, which represent proteins associated with various biological processes and cellular compartments, were identified based on MALDI‐TOF‐MS and MS/MS. This proteome database should be valuable for better understanding of CHO cell physiology and protein expression patterns which may lead to efficient therapeutic protein production.     

DeepQuanTR: MALDI‐MS‐based label‐free quantification of proteins in complex biological samples

The quantification of changes in protein abundance in complex biological specimens is essential for proteomic studies in basic and applied research. Here we report on the development and validation of the DeepQuanTR software for identification and quantification of differentially expressed proteins using LC‐MALDI‐MS. Following enzymatic digestion, HPLC peptide separation and normalization of MALDI‐MS signal intensities to the ones of internal standards, the software extracts peptide features, adjusts differences in HPLC retention times and performs a relative quantification of features. The annotation of multiple peptides to the corresponding parent protein allows the definition of a Protein Quant Value, which is related to protein abundance and which allows inter‐sample comparisons. The performance of DeepQuanTR was evaluated by analyzing 24 samples deriving from human serum spiked with different amounts of four proteins and eight complex samples of vascular proteins, derived from surgically resected human kidneys with cancer following ex vivo perfusion with a reactive ester biotin derivative. The identification and experimental validation of proteins, which were differentially regulated in cancerous lesions as compared with normal kidney, was used to demonstrate the power of DeepQuanTR. This software, which can easily be used with established proteomic methodologies, facilitates the relative quantification of proteins derived from a wide variety of different samples.     

A comprehensive proteome map of bovine cerebrospinal fluid

Cerebrospinal fluid (CSF) is considered as the most promising body fluid target for the discovery of biomarkers for early diagnosis of neurodegenerative diseases such as Creutzfeldt–Jakob disease in humans and bovine spongiform encephalopathy in cattle. For the recognition of disease‐associated changes in bovine CSF protein patterns, a detailed knowledge of this proteome is a prerequisite. The absence of a high‐resolution CSF proteome map prompted us to determine all bovine CSF protein spots that can be visualised on 2‐D protein gels. Using state‐of‐the‐art 2‐DE technology for proteome mapping of bovine ante mortem CSF combined with sensitive fluorescent protein staining and MALDI‐TOF/TOF MS for protein identification, a highly detailed 2‐DE map of the bovine CSF proteome was established. Besides the proteins mapped by earlier studies, this map contains 66 different proteins, including 58 which were not annotated in bovine 2‐DE CSF maps before.     

Rapid label‐free quantitative analysis of the E. coli BL21(DE3) inner membrane proteome

Biological membranes define cells and cellular compartments and are essential in regulating bidirectional flow of chemicals and signals. Characterizing their protein content therefore is required to determine their function, nevertheless, the comprehensive determination of membrane‐embedded sub‐proteomes remains challenging. Here, we experimentally characterized the inner membrane proteome (IMP) of the model organism E. coli BL21(DE3). We took advantage of the recent extensive re‐annotation of the theoretical E. coli IMP regarding the sub‐cellular localization of all its proteins. Using surface proteolysis of IMVs with variable chemical treatments followed by nanoLC‐MS/MS analysis, we experimentally identified ～45% of the expressed IMP in wild type E. coli BL21(DE3) with 242 proteins reported here for the first time. Using modified label‐free approaches we quantified 220 IM proteins. Finally, we compared protein levels between wild type cells and those over‐synthesizing the membrane‐embedded translocation channel SecYEG proteins. We propose that this proteomics pipeline will be generally applicable to the determination of IMP from other bacteria.     

Comparison of detergent‐based sample preparation workflows for LTQ‐Orbitrap analysis of the Escherichia coli proteome

This work presents a comparative evaluation of several detergent‐based sample preparation workflows for the MS‐based analysis of bacterial proteomes, performed using the model organism Escherichia coli. Initially, RapiGest‐ and SDS‐based buffers were compared for their protein extraction efficiency and quality of the MS data generated. As a result, SDS performed best in terms of total protein yields and overall number of MS identifications, mainly due to a higher efficiency in extracting high molecular weight (MW) and membrane proteins, while RapiGest led to an enrichment in periplasmic and fimbrial proteins. Then, SDS extracts underwent five different MS sample preparation workflows, including: detergent removal by spin columns followed by in‐solution digestion (SC), protein precipitation followed by in‐solution digestion in ammonium bicarbonate or urea buffer, filter‐aided sample preparation (FASP), and 1DE separation followed by in‐gel digestion. On the whole, about 1000 proteins were identified upon LC‐MS/MS analysis of all preparations (>1100 with the SC workflow), with FASP producing more identified peptides and a higher mean sequence coverage. Each protocol exhibited specific behaviors in terms of MW, hydrophobicity, and subcellular localization distribution of the identified proteins; a comparative assessment of the different outputs is presented.     

Low concentration of anti‐7,8‐dihydroxy‐9,10‐epoxy‐7,8,9,10‐tetrahydrobenzo[a]pyrene induces alterations of extracellular protein profile of exposed epithelial cells

7,8‐Dihydroxy‐9,10‐epoxy‐7,8,9,10‐tetrahydrobenzo[a]pyrene (BPDE) exposure induces adduct formation and oxidative damage on DNA, and consequently triggers complicated stress responses, including such responses as signaling pathway activation, cell cycle arrest, DNA repair, translesion DNA synthesis and mutagenesis. In the present study, 2‐DE and MALDI‐TOF MS were employed to analyze the differential extracellular protein patterns of human amniotic epithelial cells (FL cells) after exposure to 5 nM BPDE and control. As a result, one protein spot that appeared in the culture medium of BPDE treatment group was successfully identified as 14‐3‐3ζ, and three up‐regulated protein spots were identified as annexin A3, annexin V and hydroxypyruvate isomerase homolog. Among them, 14‐3‐3ζ was further detected in some pleural fluid specimens also. These results demonstrate that BPDE exposure can induce alterations of extracellular protein profiles of exposed cells, which may be served as a starting point for searching candidate biomarkers for benzo[a]pyrene exposure.     

Stable isotopic labeling‐based quantitative targeted glycomics (i‐QTaG)

Mass spectrometry (MS) analysis combined with stable isotopic labeling is a promising method for the relative quantification of aberrant glycosylation in diseases and disorders. We developed a stable isotopic labeling‐based quantitative targeted glycomics (i‐QTaG) technique for the comparative and quantitative analysis of total N‐glycans using matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS). We established the analytical procedure with the chemical derivatizations (i.e., sialic acid neutralization and stable isotopic labeling) of N‐glycans using a model glycoprotein (bovine fetuin). Moreover, the i‐QTaG using MALDI‐TOF MS was evaluated with various molar ratios (1:1, 1:2, 1:5) of ¹³C₆/¹²C₆‐2‐aminobenzoic acid‐labeled glycans from normal human serum. Finally, this method was applied to direct comparison of the total N‐glycan profiles between normal human sera (n = 8) and prostate cancer patient sera (n = 17). The intensities of the N‐glycan peaks from i‐QTaG method showed a good linearity (R² > 0.99) with the amount of the bovine fetuin glycoproteins. The ratios of relative intensity between the isotopically 2‐AA labeled N‐glycans were close to the theoretical molar ratios (1:1, 1:2, 1:5). We also demonstrated that the up‐regulation of the Lewis antigen (～82%) in sera from prostate cancer patients. In this proof‐of‐concept study, we demonstrated that the i‐QTaG method, which enables to achieve a reliable comparative quantitation of total N‐glycans via MALDI‐TOF MS analysis, has the potential to diagnose and monitor alterations in glycosylation associated with disease states or biotherapeutics. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:840–848, 2015     

MALDI Mass Spectrometry Imaging of Early‐ and Late‐Stage Serous Ovarian Cancer Tissue Reveals Stage‐Specific N‐Glycans

Epithelial ovarian cancer is one of the most fatal gynecological malignancies in adult women. As studies on protein N‐glycosylation have extensively reported aberrant patterns in the ovarian cancer tumor microenvironment, obtaining spatial information will uncover tumor‐specific N‐glycan alterations in ovarian cancer development and progression. matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) is employed to investigate N‐glycan distribution on formalin‐fixed paraffin‐embedded ovarian cancer tissue sections from early‐ and late‐stage patients. Tumor‐specific N‐glycans are identified and structurally characterized by porous graphitized carbon‐liquid chromatography‐electrospray ionization‐tandem mass spectrometry (PGC‐LC‐ESI‐MS/MS), and then assigned to high‐resolution images obtained from MALDI‐MSI. Spatial distribution of 14 N‐glycans is obtained by MALDI‐MSI and 42 N‐glycans (including structural and compositional isomers) identified and structurally characterized by LC‐MS. The spatial distribution of oligomannose, complex neutral, bisecting, and sialylated N‐glycan families are localized to the tumor regions of late‐stage ovarian cancer patients relative to early‐stage patients. Potential N‐glycan diagnostic markers that emerge include the oligomannose structure, (Hex)₆ + (Man)₃(GlcNAc)₂, and the complex neutral structure, (Hex)₂ (HexNAc)₂ (Deoxyhexose)₁ + (Man)₃(GlcNAc)₂. The distribution of these markers is evaluated using a tissue microarray of early‐ and late‐stage patients.