Depletion of abundant plant RuBisCO protein using the protamine sulfate precipitation method

Ribulose‐1,5‐bisphosphate carboxylase/oxygenase (RuBisCO) is the most abundant plant leaf protein, hampering deep analysis of the leaf proteome. Here, we describe a novel protamine sulfate precipitation (PSP) method for the depletion of RuBisCO. For this purpose, soybean leaf total proteins were extracted using Tris‐Mg/NP‐40 extraction buffer. Obtained clear supernatant was subjected to the PSP method, followed by 13% SDS‐PAGE analysis of total, PS‐supernatant and ‐precipitation derived protein samples. In a dose‐dependent experiment, 0.1% w/v PS was found to be sufficient for precipitating RuBisCO large and small subunits (LSU and SSU). Western blot analysis confirmed no detection of RuBisCO LSU in the PS‐supernatant proteins. Application of this method to Arabidopsis, rice, and maize leaf proteins revealed results similar to soybean. Furthermore, 2DE analyses of PS‐treated soybean leaf displayed enriched protein profile for the protein sample derived from the PS‐supernatant than total proteins. Some enriched 2D spots were subjected to MALDI‐TOF‐TOF analysis and were successfully assigned for their protein identity. Hence, the PSP method is: (i) simple, fast, economical, and reproducible for RuBisCO precipitation from the plant leaf sample; (ii) applicable to both dicot and monocot plants; and (iii) suitable for downstream proteomics analysis.     

Depletion of multiple high-abundance proteins improves protein profiling capacities of human serum and plasma

Systematic detection of low-abundance proteins in human blood that may be putative disease biomarkers is complicated by an extremely wide range of protein abundances. Hence, depletion of major proteins is one potential strategy for enhancing detection sensitivity in serum or plasma. This study compared a recently commercialized HPLC column containing antibodies to six of the most abundant blood proteins ("Top-6 depletion") with either older Cibacron blue/Protein A or G depletion methods or no depletion. In addition, a prototype spin column version of the HPLC column and an alternative prototype two antibody spin column were evaluated. The HPLC polyclonal antibody column and its spin column version are very promising methods for substantially simplifying human serum or plasma samples. These columns show the lowest nonspecific binding of the depletion methods tested. In contrast other affinity methods, particularly dye-based resins, yielded many proteins in the bound fractions in addition to the targeted proteins. Depletion of six abundant proteins removed about 85% of the total protein from human serum or plasma, and this enabled 10- to 20-fold higher amounts of depleted serum or plasma samples to be applied to 2-D gels or alternative protein profiling methods such as protein array pixelation. However, the number of new spots detected on 2-D gels was modest, and most newly visualized spots were minor forms of relatively abundant proteins. The inability to detect low-abundance proteins near expected 2-D staining limits was probably due to both the highly heterogeneous nature of most plasma or serum proteins and masking of many low-abundance proteins by the next series of most abundant proteins. Hence, non2-D methods such as protein array pixelation are more promising strategies for detecting lower abundance proteins after depleting the six abundant proteins.     

Albumin depletion of human plasma also removes low abundance proteins including the cytokines

The use of proteomics for efficient, accurate, and complete analysis of clinical samples poses a variety of technical challenges. The presence of higher abundance proteins in the plasma, such as albumin, may mask the detection of lower abundance proteins such as the cytokines. Methods have been proposed to deplete the sample of these higher abundance proteins to facilitate detection of those with lower abundance. In this study, a commercially available albumin depletion kit was used to determine if removal of albumin would measurably reduce detection of lower abundance cytokine proteins in human plasma. The Montage Albumin Deplete Kit (Millipore) was used to deplete albumin from LPS-stimulated whole blood from 15 normal human donors. Albumin depletion was measured using the BCG reagent and SDS-PAGE, and cytokine recovery was determined by a microassay immunoassay that measures both pro- and anti-inflammatory cytokines. Average albumin depletion from the samples was 72%. However, several cytokines were also significantly reduced when the albumin was removed from the plasma. Additionally, there was a variable reduction in cytokine recovery from a known mixture of cytokines in a minimal amount of plasma that were loaded onto the columns. These data demonstrate that there may be a non-specific loss of cytokines following albumin depletion, which may confound subsequent proteomic analysis.     

Developing a strong anion exchange/RP (SAX/RP) 2D LC system for high‐abundance proteins depletion in human plasma

Human plasma is dominated by high‐abundance proteins which severely impede the detection of low‐abundance proteins. Unfortunately, now there is no efficient method for large‐scale depletion of high‐abundance proteins in human plasma. In this study, we developed a new strategy, strong anion exchange (SAX)/RP 2D LC system, which has potential for large‐scale depletion of high‐abundance proteins in human plasma. Separation gradients of the system were optimized to ensure an extensive separation of plasma proteins. Plasma was fractionated into 67 fractions by SAX. All these fractions were subjected a thorough separation by the 2D RPLC and 66 peaks with high UV absorption (>20 mAU) at 215 nm were collected. Proteins in these peaks were identified by LC‐MS/MS analysis. Results showed that 83 proteins could be identified in these peaks, 68 among them were reported to be high‐ or middle‐abundance proteins in plasma. All these proteins had definite retention times and were mapped in the 2D SAX‐RP system, which resulted in accurate depletion of high‐abundance proteins with ease. Our studies provide a convenient and effective method for large‐scale depletion of high‐abundance proteins and in‐depth research in human plasma proteomics.     

A systematic analysis of eluted fraction of plasma post immunoaffinity depletion: implications in biomarker discovery

Plasma is the most easily accessible source for biomarker discovery in clinical proteomics. However, identifying potential biomarkers from plasma is a challenge given the large dynamic range of proteins. The potential biomarkers in plasma are generally present at very low abundance levels and hence identification of these low abundance proteins necessitates the depletion of highly abundant proteins. Sample pre-fractionation using immuno-depletion of high abundance proteins using multi-affinity removal system (MARS) has been a popular method to deplete multiple high abundance proteins. However, depletion of these abundant proteins can result in concomitant removal of low abundant proteins. Although there are some reports suggesting the removal of non-targeted proteins, the predominant view is that number of such proteins is small. In this study, we identified proteins that are removed along with the targeted high abundant proteins. Three plasma samples were depleted using each of the three MARS (Hu-6, Hu-14 and Proteoprep 20) cartridges. The affinity bound fractions were subjected to gelC-MS using an LTQ-Orbitrap instrument. Using four database search algorithms including MassWiz (developed in house), we selected the peptides identified at <1% FDR. Peptides identified by at least two algorithms were selected for protein identification. After this rigorous bioinformatics analysis, we identified 101 proteins with high confidence. Thus, we believe that for biomarker discovery and proper quantitation of proteins, it might be better to study both bound and depleted fractions from any MARS depleted plasma sample.     

Evaluation and optimization of IgY spin column technology in the depletion of abundant proteins from human serum

Serum depletion strategies are commonly implemented in order to remove abundant proteins, increasing the number of proteins detected in a biomarker study. The IgY spin columns used in this study bind 12 and 14 primate proteins, respectively. 1‐D SDS‐PAGE and 2‐DE revealed a suboptimal performance of the IgY spin columns. However, modification of the manufacturer's protocol, subjecting samples to two rounds of depletion, improved the number of proteins resolved by 2‐DE. With alteration of the manufacturer protocol, the Seppro^® IgY14 spin column can produce depleted serum with an increased number of spots resolved by 2‐DE compared to untreated serum.     

Chloroform-Assisted Phenol Extraction Improving Proteome Profiling of Maize Embryos through Selective Depletion of High-Abundance Storage Proteins

The presence of abundant storage proteins in plant embryos greatly impedes seed proteomics analysis. Vicilin (or globulin-1) is the most abundant storage protein in maize embryo. There is a need to deplete the vicilins from maize embryo extracts for enhanced proteomics analysis. We here reported a chloroform-assisted phenol extraction (CAPE) method for vicilin depletion. By CAPE, maize embryo proteins were first extracted in an aqueous buffer, denatured by chloroform and then subjected to phenol extraction. We found that CAPE can effectively deplete the vicilins from maize embryo extract, allowing the detection of low-abundance proteins that were masked by vicilins in 2-DE gel. The novelty of CAPE is that it selectively depletes abundant storage proteins from embryo extracts of both monocot (maize) and dicot (soybean and pea) seeds, whereas other embryo proteins were not depleted. CAPE can significantly improve proteome profiling of embryos and extends the application of chloroform and phenol extraction in plant proteomics. In addition, the rationale behind CAPE depletion of abundant storage proteins was explored.     

Rat plasma proteomics: effects of abundant protein depletion on proteomic analysis

The proteomic analysis of plasma and serum samples represents a formidable challenge due to the presence of a few highly abundant proteins such as albumin and immunoglobulins. Detection of low abundance protein biomarkers requires therefore either the specific depletion of high abundance proteins with immunoaffinity columns and/or optimized protein fractionation methods based on charge, size or hydrophobicity. Here we describe the depletion of seven abundant rat plasma proteins with an immunoaffinity column with coupled antibodies directed against albumin, IgG, transferrin, IgM, haptoglobin, fibrinogen and alpha1-anti-trypsin. The IgY-R7-LC2 (Beckman Coulter) column showed high specificity for the targeted proteins and was able to efficiently remove most of the albumin, IgG and transferrin from rat plasma samples as judged by Western blot analysis. Depleted rat plasma protein samples were analyzed by SELDI-TOF MS, 2D SDS-PAGE and 2D-LC and compared to non-depleted plasma samples as well as to the abundant protein fraction that was eluted from the immunoaffinity column. Analysis of the depleted plasma protein fraction revealed improved signal to noise ratios, regardless of which proteomic method was applied. However, only a small number of new proteins were observed in the depleted protein fraction. Immunoaffinity depletion of abundant plasma proteins results in the significant dilution of the original sample which complicates subsequent analysis. Most proteomic approaches require specialized sample preparation procedures during which significant losses of less abundant proteins and potential biomarkers can occur. Even though abundant protein depletion reduces the dynamic range of the plasma proteome by about 2-3 orders of magnitude, the difference between medium-abundant and low abundant plasma proteins is still in the range of 7-8 orders of magnitude and beyond the dynamic range of current proteomic technologies. Thus, exploring the plasma proteome in greater detail remains a daunting task.     

Comparison of different depletion strategies for improved resolution in proteomic analysis of human serum samples

Serum proteins may often serve as indicators of disease and is a rich source for biomarker discovery. However, the large dynamic range of proteins in serum makes the analysis very challenging because high-abundant proteins tend to mask those of lower abundance. A prefractionation step, such as depletion of a few high-abundant proteins before protein profiling, can assist in the discovery and detection of less abundant proteins that may prove to be informative biomarkers. In the present study, five different depletion columns were investigated considering efficiency, specificity, and reproducibility. Our research included quantitative determination of total protein, albumin, and immunoglobulin G (IgG) concentrations, one- and two-dimensional gels and mass spectrometric analysis of the serum samples before and after the depletion step. Our results showed that all five depletion columns tested removed albumin and IgG with high efficiency. We found that based on reproducibility and binding specificity, the Multiple Affinity Removal Column that removed a total of six high-abundant proteins (albumin, IgG, antitrypsin, IgA, transferring, and haptoglobin) offered the most promising depletion approach. Among the disposable (single-use) products, the ProteoExtract Albumin/IgG Removal kit displayed the best results. Depleted serum from the Multiple Affinity Removal column was further evaluated by 2-D gel electrophoresis (2-DE) analysis, and the results indicated increased resolution and improved intensity of low-abundant proteins in a reproducible fashion. Our study provides a comprehensive investigation of commercially available depletion columns and will be of high importance for future proteomic studies on serum samples.     

Online monitoring of immunoaffinity-based depletion of high-abundance blood proteins by UV spectrophotometry using enhanced green fluorescence protein and FITC-labeled human serum albumin

Background  

The removal of high-abundance proteins from plasma is an efficient approach to investigating flow-through proteins for biomarker discovery studies. Most depletion methods are based on multiple immunoaffinity methods available commercially including LC columns and spin columns. Despite its usefulness, high-abundance depletion has an intrinsic problem, the sponge effect, which should be assessed during depletion experiments. Concurrently, the yield of depletion of high-abundance proteins must be monitored during the use of the depletion column. To date, there is no reasonable technique for measuring the recovery of flow-through proteins after depletion and assessing the capacity for capture of high-abundance proteins.     

Assessment approach for evaluating high abundance protein depletion methods for cerebrospinal fluid (CSF) proteomic analysis

Optimal proteomic analysis of human cerebrospinal fluid (CSF) requires depletion of high-abundance proteins to facilitate observation of low-abundance proteins. The performance of two immunodepletion (MARS, Agilent Technologies and ProteoSeek, Pierce Biotechnology) and one ultrafiltration (50 kDa molecular weight cutoff filter, Millipore Corporation) methods for depletion of abundant CSF proteins were compared using a graphical method to access the depth of analysis using "marker proteins" with known normal concentration ranges. Two-dimensional LC/MS/MS analysis of each depleted sample yielded 171 and 163 unique protein identifications using the MARS and ProteoSeek immunodepletion methods, respectively, while only 46 unique proteins were identified using a 50 kDa molecular weight cutoff filter. The relative abundance of the identified proteins was estimated using total spectrum counting and compared to the concentrations of 45 known proteins in CSF as markers of the analysis depth. Results of this work suggest a clear need for methodology designed specifically for depletion of high-abundance proteins in CSF, as depletion methods designed to deplete high-abundance serum proteins showed little improvement in analysis depth compared to analysis without depletion. The marker protein method should be generally useful for assessing depth of analysis in the comparison of proteomic analysis methods.     

Semi-targeted plasma proteomics discovery workflow utilizing two-stage protein depletion and off-line LC-MALDI MS/MS

A quantitative proteomics workflow was implemented that provides extended plasma protein coverage by extensive protein depletion in combination with the sensitivity and breadth of analysis of two-dimensional LC-MS/MS shotgun analysis. Abundant proteins were depleted by a two-stage process using IgY and Supermix depletion columns in series. Samples are then extensively fractionated by two-dimensional chromatography with fractions directly deposited onto MALDI plates. Decoupling sample fractionation from mass spectrometry facilitates a targeted MS/MS precursor selection strategy that maximizes measurement of a consistent set of peptides across experiments. Multiplexed stable isotope labeling provides quantification relative to a common reference sample and ensures an identical set of peptides measured in the set of samples (set of eight) combined in a single experiment. The more extensive protein depletion provided by the addition of the Supermix column did not compromise overall reproducibility of the measurements or the ability to reliably detect changes in protein levels between samples. The implementation of this workflow is presented for a case study aimed at generating molecular signatures for prediction of first heart attack.     

The plasma membrane proteome of germinating barley embryos

Cereal seed germination involves a complex coordination between different seed tissues. Plasma membranes must play crucial roles in coordination and execution of germination; however, very little is known about seed plasma membrane proteomes due to limited tissue amounts combined with amphiphilicity and low abundance of membrane proteins. A fraction enriched in plasma membranes was prepared from embryos dissected from 18 h germinated barley seeds using aqueous two‐phase partitioning. Reversed‐phase chromatography on C₄ resin performed in micro‐spin columns with stepwise elution by 2‐propanol was used to reduce soluble protein contamination and enrich for hydrophobic proteins. Sixty‐one proteins in 14 SDS‐PAGE bands were identified by LC‐MS/MS and database searches. The identifications provide new insight into the plasma membrane functions in seed germination.     

Quantitative proteomic identification of host factors involved in the Salmonella typhimurium infection cycle

To identify host factors involved in Salmonella replication, SILAC-based quantitative proteomics was used to investigate the interactions of Salmonella typhimurium with the secretory pathway in human epithelial cells. Protein profiles of Golgi-enriched fractions isolated from S. typhimurium-infected cells were compared with those of mock-infected cells, revealing significant depletion or enrichment of 105 proteins. Proteins annotated to play a role in membrane traffic were overrepresented among the depleted proteins whereas proteins annotated to the cytoskeleton showed a diverse behavior with some proteins being enriched, others being depleted from the Golgi fraction upon Salmonella infection. To study the functional relevance of identified proteins in the Salmonella infection cycle, small interfering RNA (siRNA) experiments were performed. siRNA-mediated depletion of a selection of affected proteins identified five host factors involved in Salmonella infection. Depletion of peroxiredoxin-6 (PRDX6), isoform β-4c of integrin β-4 (ITGB4), isoform 1 of protein lap2 (erbin interacting protein; ERBB2IP), stomatin (STOM) or TBC domain containing protein 10b (TBC1D10B) resulted in increased Salmonella replication. Surprisingly, in addition to the effect on Salmonella replication, depletion of STOM or ITGB4 resulted in a dispersal of intracellular Salmonella microcolonies. It can be concluded that by using SILAC-based quantitative proteomics we were able to identify novel host cell proteins involved in the complex interplay between Salmonella and epithelial cells.     

Depletion of abundant human serum proteins by per se imprinted cryogels based on sample heterogeneity

Macroporous cryogels were prepared and used to deplete abundant proteins. It was accomplished based on the sample heterogeneity rather than any exogenous assistance. Human serum was added in monomer solutions to synthesize molecularly imprinted polymers; therein some abundant proteins were imprinted in the polyacrylamide cryogels. Meanwhile the rare components remained aqueous. Chromatography and electrophoresis showed that albumin, serotransferrin, and most globulins were depleted by columns packed with the molecularly imprinted polymers. After the depletion, lower abundance proteins were revealed by SDS‐PAGE, peptide fingerprint analysis, and identified by MALDI‐TOF‐MS. This is an example that a “per se imprint” protocol enables to gradually dimidiate proteomes, simplify sample complexities, and facilitate further proteome profiling or biomarker discovery.     

Novel strategy of high-abundance protein depletion using multidimensional liquid chromatography

In this study, for the first time, a comprehensive two-dimensional (2D) liquid-phase separation system, coupling strong cation exchange chromatography (SCX) to reversed-phase high performance liquid chromatography (RPLC), instead of specificity depletion method, was developed at the intact protein level for depletion of high-abundance proteins from rat liver. Proteins were prefractionated by SCX in the first dimensional separation, followed by RPLC with high resolution separation. UV absorption intensity was used to differentiate high-abundance proteins. The proteins with the absorbance intensity above 0.1 AU were defined as high abundance proteins and depleted. After removal of high-abundance proteins; other proteins were pooled, digested, and subsequently separated by capillary liquid chromatography coupled with MALDI-TOF/TOF mass spectrometry analysis. The high efficiency of the strategy was demonstrated by analyzing the soluble protein extracted from rat liver tissue. In total, 77 high-abundance proteins were depleted in one experiment flow. The ratio of depleted content of high-abundance proteins to that of total proteins was about 34.5%. In total, 1530 proteins were identified using the depletion strategy. Quantitative estimation of high-abundance proteins through liquid chromatography combined with UV absorption spectra was achieved. On the basis of the reproducible experimental results, a rapid and high-throughput depletion protocol was put forward. Along with depletion of the most (79.1%) high-abundance proteins and the separation of digested peptides, the total separation time could be less than 30 h. This strategy has no bias for depleting high-abundance proteins and enhances the number of identified proteins; therefore, it can be widely used in the global proteins analysis.     

Improvements in proteomic metrics of low abundance proteins through proteome equalization using ProteoMiner prior to MudPIT

Ideally, shotgun proteomics would facilitate the identification of an entire proteome with 100% protein sequence coverage. In reality, the large dynamic range and complexity of cellular proteomes results in oversampling of abundant proteins, while peptides from low abundance proteins are undersampled or remain undetected. We tested the proteome equalization technology, ProteoMiner, in conjunction with Multidimensional Protein Identification Technology (MudPIT) to determine how the equalization of protein dynamic range could improve shotgun proteomics methods for the analysis of cellular proteomes. Our results suggest low abundance protein identifications were improved by two mechanisms: (1) depletion of high abundance proteins freed ion trap sampling space usually occupied by high abundance peptides and (2) enrichment of low abundance proteins increased the probability of sampling their corresponding more abundant peptides. Both mechanisms also contributed to dramatic increases in the quantity of peptides identified and the quality of MS/MS spectra acquired due to increases in precursor intensity of peptides from low abundance proteins. From our large data set of identified proteins, we categorized the dominant physicochemical factors that facilitate proteome equalization with a hexapeptide library. These results illustrate that equalization of the dynamic range of the cellular proteome is a promising methodology to improve low abundance protein identification confidence, reproducibility, and sequence coverage in shotgun proteomics experiments, opening a new avenue of research for improving proteome coverage.     

Definitive screening design enables optimization of LC–ESI–MS/MS parameters in proteomics

In proteomics, more than 100,000 peptides are generated from the digestion of human cell lysates. Proteome samples have a broad dynamic range in protein abundance; therefore, it is critical to optimize various parameters of LC–ESI–MS/MS to comprehensively identify these peptides. However, there are many parameters for LC–ESI–MS/MS analysis. In this study, we applied definitive screening design to simultaneously optimize 14 parameters in the operation of monolithic capillary LC–ESI–MS/MS to increase the number of identified proteins and/or the average peak area of MS1. The simultaneous optimization enabled the determination of two-factor interactions between LC and MS. Finally, we found two parameter sets of monolithic capillary LC–ESI–MS/MS that increased the number of identified proteins by 8.1% or the average peak area of MS1 by 67%. The definitive screening design would be highly useful for high-throughput analysis of the best parameter set in LC–ESI–MS/MS systems.     

Reversed-phase high-performance liquid chromatographic prefractionation of immunodepleted human serum proteins to enhance mass spectrometry identification of lower-abundant proteins

Serum analysis represents an extreme challenge due to the dynamic range of the proteins of interest, and the high structural complexity of the constituent proteins. In serum, the quantities of proteins and peptides of interest range from those considered "high abundance", present at 2-70% by mass of total protein, to those considered "low abundance", present at 10(-12) M or less. This range of analytical target molecules is outside the realm of available technologies for proteomic analysis. Therefore, in this study, we have developed a workflow toward addressing the complexity of these samples through the application of multidimensional separation techniques. The use of reversed-phase methods for the separation and fractionation of protein samples has been investigated, with the goal of developing an optimized serum separation for application to proteomic analysis. Samples of human serum were depleted of the six most abundant proteins, using an immunoaffinity LC method, then were separated under a variety of reversed-phase (RP) conditions using a macroporous silica C18 surface modified column material. To compare the qualities of the RP separations of this complex protein sample, absorbance chromatograms were compared, and fractions were collected for off-line SDS-PAGE and 2D-LC-MS/MS analysis. The column fractions were further investigated by determination of protein identities using either whole selected fractions, or gel bands excised from SDS-PAGE gels of the fractions. In either case samples underwent tryptic fragmentation and peptide analysis using MALDI-MS or LC-MS/MS. The preferred conditions for RP protein separation exhibited reproducibly high resolution and high protein recoveries (>98%, as determined by protein assay). Using the preferred conditions also permitted high column mass load, with up to 500 microg of protein well tolerated using a 4.6 mm ID x 50 mm column, or up to 1.5 mg on a 9.4 mm ID x 50 mm column. Elevated column temperature (80 degrees C) was observed to be a critical operational parameter, with poorer results observed at lower temperatures. The combination of sample simplification by immunoaffinity depletion combined with a robust and high recovery RP-HPLC fractionation yields samples permitting higher quality protein identifications by coupled LC-MS methods.     

Comparative analysis of soybean plasma membrane proteins under osmotic stress using gel‐based and LC MS/MS‐based proteomics approaches

To study the soybean plasma membrane proteome under osmotic stress, two methods were used: a gel‐based and a LC MS/MS‐based proteomics method. Two‐day‐old seedlings were subjected to 10% PEG for 2 days. Plasma membranes were purified from seedlings using a two‐phase partitioning method and their purity was verified by measuring ATPase activity. Using the gel‐based proteomics, four and eight protein spots were identified as up‐ and downregulated, respectively, whereas in the nanoLC MS/MS approach, 11 and 75 proteins were identified as up‐ and downregulated, respectively, under PEG treatment. Out of osmotic stress responsive proteins, most of the transporter proteins and all proteins with high number of transmembrane helices as well as low‐abundance proteins could be identified by the LC MS/MS‐based method. Three homologues of plasma membrane H⁺‐ATPase, which are transporter proteins involved in ion efflux, were upregulated under osmotic stress. Gene expression of this protein was increased after 12 h of stress exposure. Among the identified proteins, seven proteins were mutual in two proteomics techniques, in which calnexin was the highly upregulated protein. Accumulation of calnexin in plasma membrane was confirmed by immunoblot analysis. These results suggest that under hyperosmotic conditions, calnexin accumulates in the plasma membrane and ion efflux accelerates by upregulation of plasma membrane H⁺‐ATPase protein.