Literature DB >> 23294059

Hydrophilic strong anion exchange (hSAX) chromatography for highly orthogonal peptide separation of complex proteomes.

Maria Stella Ritorto1, Ken Cook, Kshitiz Tyagi, Patrick G A Pedrioli, Matthias Trost.   

Abstract

Due to its compatibility and orthogonality to reversed phase (RP) liquid chromatography (LC) separation, ion exchange chromatography, and mainly strong cation exchange (SCX), has often been the first choice in multidimensional LC experiments in proteomics. Here, we have tested the ability of three strong anion exchanger (SAX) columns differing in their hydrophobicity to fractionate RAW264.7 macrophage cell lysate. IonPac AS24, a strong anion exchange material with ultralow hydrophobicity, demonstrated to be superior to other materials by fractionation and separation of tryptic peptides from both a mixture of 6 proteins as well as mouse cell lysate. The chromatography displayed very high orthogonality and high robustness depending on the hydrophilicity of column chemistry, which we termed hydrophilic strong anion exchange (hSAX). Mass spectrometry analysis of 34 SAX fractions from RAW264.7 macrophage cell lysate digest resulted in an identification of 9469 unique proteins and 126318 distinct peptides in one week of instrument time. Moreover, when compared to an optimized high pH/low pH RP separation approach, the method presented here raised the identification of proteins and peptides by 10 and 28%, respectively. This novel hSAX approach provides robust, reproducible, and highly orthogonal separation of complex protein digest samples for deep coverage proteome analysis.

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Year:  2013        PMID: 23294059      PMCID: PMC3679572          DOI: 10.1021/pr301011r

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


Introduction

Mass spectrometric analysis of proteome samples from eukaryotic cell lines, tissues or biological fluids is still hampered by the vast complexity of samples and concentration differences of proteins within making comparisons of proteomics and transcriptomics data difficult. Online and off-line two-dimensional (2D) or multidimensional separation to reduce sample complexity is therefore still of high importance. The most widely used methods involve two subsequent steps, an off-line fractionation step followed by (low pH) reversed phase liquid chromatography (RP-LC) directly coupled to mass spectrometry. Ideally, the separation in the two-dimensions is highly complementary and uses different mechanisms, that is, they separate according to different properties of the analyte such as size, charge and hydrophobicity. Many approaches have shown decent orthogonality such as hydrophilic interaction liquid chromatography (HILIC),[1] electrostatic repulsion hydrophilic interaction chromatography (ERLIC),[2] strong cation exchange (SCX),[3,4] isoelectric focusing (such as OFFGEL),[5] SCX-weak-anion exchange (WAX) 3D[6] and high-pH RP.[7] Particularly, high pH RP chromatography has shown great potential as it is highly resolving and partly orthogonal to low pH RP.[7] However, this setup requires the samples to be dried down after the first dimension resulting in sample loss, unless another, third dimension such as SAX is added,[8,9] which increases the number of fractions and thus instrument time and reduces robustness of the system. Furthermore, the high pH of the first RP dimension is corroding most of the silica-based stationary phase, leading to reproducibility issues and short column lifetime. While high-pH RP can never achieve full orthogonality to low-pH RP as they both separate according to hydrophobicity, ion exchange chromatography such as SCX or strong anion exchange (SAX) chromatography – at least theoretically – can. But while SCX has been widely used, SAX has been not widely considered for proteomic analysis. This is surprising as it was observed that the majority of tryptic peptides cluster between pI of 3 and 5, partly because many post-translational modifications such as phosphorylation, pyro-glutamination or acetylation decrease the pI.[10] This suggests that the majority of the tryptic peptides in a total cell digest are likely acidic, thus negatively charged and should be well separable by SAX. Some groups reported studies involving SAX fractionation, mostly for phospho-proteomics and glycomics.[11−14] On the proteome level, an online mixed mode reversed phase anion exchange (MM, RP-AX),[15] a SAX-SCX mixed bed ion exchange chromatography,[16] a SAX microreactor[17] or a SAX stage-tip approach were successfully used;[18] however, the use of SAX for large-scale proteome analyses is still underdeveloped. Here, we present a SAX column with a hyperbranched architecture,[19] quaternary ammonium ion functionality and an ultralow hydrophobicity. While the column was originally designed for the separation of small organic and haloacetic acids, we show its remarkable separation power for proteome research. This column exhibits high reproducibility, high capacity, robustness and very high orthogonality when coupled to low pH RP, allowing the identification of more than 9000 proteins from a RAW264.7 macrophage cell lysate on an Orbitrap Velos Pro mass spectrometer within only one week of instrument time. We show that both hydrophilicity and the ion exchange properties of the column are important for the high orthogonality of this approach, which we term hydrophilic Strong Anion Exchange (hSAX) chromatography.

Experimental Section

Chemicals and Reagents

The standard proteins mixture consisted in bovine thyroglobulin, bovine serum albumin, chicken ovalbumin, bovine beta-casein, cytochrome C from horse heart, lysozyme from chicken eggs. All proteins were purchased from Sigma Aldrich (St. Louis, MO). Solvents for off-line systems were purchased from Rathburn Chemicals Ltd. (Walkerburn, Scotland), while those for online system were purchased from Merck KGaA (Darmstadt, Germany).

Cell Culture and Preparation of Cell Lysate Digests

The mouse macrophage cell line RAW264.7 was obtained from ATCC and grown in DMEM, 10% heat-inactivated fetal bovine serum (FBS, Sigma), 2 mM l-glutamine, 5000 U/mL penicillin and 5000 μg/mL streptomycin (Invitrogen). RAW 264.7 cells were harvested, washed with ice-cold PBS and lysed in 8 M urea/50 mM Tris-HCl (pH 8.0)/10 mM DTT plus a phosphatase inhibitor cocktail containing 1.15 mM sodium molybdate, 1 mM sodium orthovanadate, 4 mM sodium tartrate dehydrate, 5 mM glycerophosphate (all Sigma Aldrich) and 1 mM sodium fluoride (AnalaR NormapuR, West Sussex, UK); finally, 1 μL of benzonase (Merck) was added and the lysate passed through a 26.5G needle. The solution was left to reduce for 60 min at 30 °C under shaking. Afterward, 15 mM iodoacetamide (IAA) was added and the sample was left to alkylate for 40 min at room temperature (RT) in the dark. The IAA was then deactivated with 20 mM DTT for 40 min at RT and at this point the protein concentration was assessed by RC/DC Protein Assay according to the manufacturer’s instructions (BioRad). Prior to digestion, the protein mixture was diluted 8 times with 50 mM Tris-HCl pH 8.0 to 1 M urea. Trypsin TPCK (Worthington) was methylated as described previously,[20] added to the protein mixture (1:100, trypsin: sample) and the digestion was performed at RT overnight. Another 1:100 was added the day after for 3 h followed by addition of 1% TFA to stop trypsin activity. Finally, the sample was desalted by SepPack Oasis solid phase extraction cartridges (Waters), dried down and stored at −80 °C. The same procedure was applied to the standard protein mixture (“6-mix”).

Hydrophilic Strong Anion Exchange and Reversed-phase Chromatography

An off-line Thermo HPLC Ultimate 3000 system equipped with the WPS-3000T(B) FC autosampler, the DGP-3600BM pump system including the SRD-3600 system for solvent autodegasser, the VWD-3400RS UV/vis photometer and the TCC-3000SD thermo-controlled column compartment were used. In this work, we compared three different strong anion exchange (SAX) columns: the AS24, the AS11-HC and the AS15 (IonPac series, Thermo-Fisher Scientific) that were chosen according to their chemical/physical characteristics. The AS24 (2 × 250 mm, 2000 Å pore size) is a low bleed column primarily designed for the separation of environmental ions as well as for ion chromatography separation coupled with mass spectrometry. AS24 is a high capacity (140 μeq) analytical column and it is compatible with pH 0–14 eluents and samples (Table 1). It consists in a supermacroporous resin with alkanol quaternary ammonium ions as functional groups, which are ultralow hydrophobic. It uses hyperbranched chemistry with extremely hydrophilic architecture[19] whereas AS11-HC and AS15 used aromatic monomers and are thus significantly more hydrophobic.
Table 1

Characteristics of SAX Columns Tested

characteristicsIonPac AS24aIonPac AS11-HCbIonPac AS15c
Size2 × 250 mm2 × 250 mm2 × 250 mm
Bead diameter7 μm9 μm9 μm
Pore size2000 Å2000 Å100 Å
Functional groupAlkanol quaternary ammonium ionAlkanol quaternary ammonium ionAlkanol quaternary ammonium ion
Capacity140 μeq72.5 μeq56.25 μeq
HydrophobicityUltralowMedium-lowMedium-high
pH range0–140–140–14

IonPac AS24, ThermoFisher Scientific (Part Nr: 064153).

IonPac AS11-HC, ThermoFisher Scientific (Part Nr: 052961).

IonPac AS15, ThermoFisher Scientific (Part Nr: 053941).

IonPac AS24, ThermoFisher Scientific (Part Nr: 064153). IonPac AS11-HC, ThermoFisher Scientific (Part Nr: 052961). IonPac AS15, ThermoFisher Scientific (Part Nr: 053941). Finally, the AS25 is very similar to AS24 but it is the most hydrophilic member of the product family (IonPac AS25, 2 × 250 mm, 2000 Å, 87.5 μeq of capacity) but has a lower capacity. It was tested to confirm that the hydrophilic architecture of AS24 improves the orthogonal separation of tryptic peptides. To compare the results of SAX/RP with (high pH) RP/ (low pH) RP, two reversed-phase columns were tested off-line in the first dimension, which differ in matrix composition. In this work, Acclaim 120 C18 (a conventional RP, 3 μm, 120 Ǻ, 2.1 × 150 mm, Thermo-Fisher Scientific) and Acclaim RSLC Polar Advantage II -PA2- (a polar-embedded RP, 2.2 μm, 120 Ǻ, 2.1 × 100 mm, Thermo-Fisher Scientific) columns were used to separate tryptic digested proteins from RAW264.7 cell lysate. While both C18 columns are based on ultrapure silica, Acclaim PA2 has the advantage to have specially designed amide-embedded ligands. Those features make the column compatible with 100% aqueous environments over a wide range of pH (1.5–10), exhibiting high polarity for selectivity complementary to conventional RP columns. The Acclaim PA2 column provided higher efficiencies than the Acclaim 120 C18 column (Supporting Information, Figure S1) and therefore it was chosen for the comparison with the AS24. For the off-line 2D LC, a highly resolving C18 column was used (Gemini-C18, 3 μm, 110 Ǻ, 3 × 250 mm, Phenomenex). This column uses ultrapure spherical silica particles and can operate at wide pH range (1–12) increasing method development flexibility. Peptide separation on the off-line 1D separation system employing strong anion exchange was achieved with a flow rate of 0.25 mL/min (solvent A: 20 mM Tris-HCl pH 8.0; solvent B: 20 mM Tris-HCl pH 8.0, 1 M NaCl). A gradient (slope 7 for 6-mix, 8 for RAW264.7 cells) spanning 0–100% mobile phase B over 35 min was used. In case of high pH RP, separation was based on an acetonitrile (AcN) gradient (solvent A: 20 mM NH4OH/H2O, pH 10.0; solvent B: 20 mM NH4OH/AcN, pH 10.0) at the same flow rate (0.250 mL/min, 0–80% B in 35 min). When the Acclaim 120 was tested, the AcN gradient was set at 5–80% B for 35 min. The off-line 2D was commonly performed at pH 2.5 (solvent A: 0.1% TFA/H2O; solvent B: 0.08% TFA/AcN) at a flow rate of 0.4 mL/min and a multistep gradient of 35 min: 5–15% B in 5 min, following by 30 min up to 90% B. All chromatograms were recorded by a UV detector at 214 nm.

Mass Spectrometry Analysis

Off-line 1D-fractions (either SAX without further handling or high pH RP, after drying down and resuspension in 0.1% TFA) from the RAW264.7 cell lysate were run online on an Orbitrap Velos Pro (Thermo-Fisher Scientific). All nanoflow chromatography was performed on an Ultimate 3000 nano LC system (Thermo-Fisher Scientific), using an Acclaim PepMap 100 (75 μm ID × 500 mm, 3 μm C18) in conjunction with an Acclaim C18 PepMap trapping column (100 μm ID × 20 mm, 5 μm C18) (Thermo-Fisher Scientific). Linear gradient elution was performed using buffer A (0.1% formic acid) and buffer B (0.08% formic acid, 80% ACN) starting from 5% buffer B to 35% over 277 min at a flow rate of 300 nL/min. A coated silica tip (New Objective, Woburn, MA) was used for electrospraying the sample into the mass spectrometer, at an ion spray voltage of 1.45 kV. MS analysis was operated in data dependent mode, such that the top 20 most abundant precursors in each MS scan were subjected to MS/MS (CID in the linear trap, normalized collision energy = 35%, precursor isolation width = 2 Da, intensity threshold for precursor selection = 2000). As global parameters, precursor ions between m/z 400–2000 were selected, at resolution of 60000 collected in profile mode. Ions with charge state = 1 were rejected. Dynamic exclusion was enabled with a repeat count of 1 and exclusion duration set to 60 s. The lock mass feature was enabled for m/z = 445.120025 ([Si(CH3)2O]6) as the internal calibrant ion.

Data Analysis

The data analysis of all MS/MS proteomics data sets was performed through the Trans-Proteomic Pipeline (TPP) as previously described.[21] Briefly, mass spectrometry raw output files were first converted to mzXML by ReAdW[22] and afterward searched through the X!Tandem (CYCLONE 2011.12.01) search engine with K-score plug-in.[23] Data was searched against a randomized forward and reverse IPI mouse database (version 3.87) and X!Tandem parameters included cysteine carbamylation as fixed modifications, methionine oxidation and asparagine/glutamine deamidation were set as variable modifications. Cyclization of glutamine/glutamic acid at the N-termini (pyroglutamate) was automatically searched, since Tandem automatically checks for formation of pyroglutamic acid, that is, the loss of water (E) or ammonia (Q), respectively, when a peptide starts with E or Q. This modification is considered to be an N-terminal modification only, so it does not affect any potential modifications specified for Q, E or C. Search parameters specified a precursor mass tolerance of ±25 ppm (required by TPP, typical mass accuracy was <2 ppm), a MS/MS tolerance at 0.4 Da and full trypsin specificity allowing for up to 2 missed cleavages. All the results obtained were converted to the pep.xml file format. PeptideProphet[24] was then used to validate the search engine results and to assign accurate probabilities to peptide–spectrum matches (PSMs). Peptide probabilities were then calculated with the iProphet tool.[25] Finally, protein-level validation and protein inference were performed with ProteinProphet.[26] Results were filtered at a calculated 1% FDR on the peptide level and then protein level. Data were imported into R (v2.11.0), an open source platform for statistical analysis (http://www.R-project.org) and graphs were plotted using the ggplot2 library.[27] For identification via Andromeda,[28] raw-files were loaded into MaxQuant 1.3.0.5[29] and searched against the same IPI mouse database (version 3.87). Variable and fixed modifications were the same as above; precursor mass accuracy was set to 6 ppm, MS/MS tolerance to 0.4 Da and Trypsin specificity allowing for up to 2 missed cleavages. False-discovery rate was set to 0.05 for peptides and 0.01 for proteins.

Results and Discussion

From a range of 12 high-capacity Hydroxide-Selective Anion-Exchange Columns (IonPac series, Thermo-Fisher Scientific) which were initially developed for the separation of small organic and haloacetic acids and inorganic anions,[30,31] we tested three members (AS24, AS11-HC and AS15) for the use in off-line fractionation in a proteomics setting. These columns all contain the same functionality of alkanol quaternary ammonium ions, but differ in backbone hydrophobicity, with AS24 exhibiting ultralow hydrophobicity, AS11-HC medium hydrophobicity and AS15 high hydrophobicity. In initial experiments we injected 180 μg of a tryptic digest of six proteins (“6-mix”) onto each of the three columns. Fractions were automatically collected and reinjected onto a C18 RP column using an Ultimate 3000 HPLC (Thermo-Fisher Scientific) and data acquired on a UV detector. With the use of Chromeleon software (v6.8), 2D retention maps were created by which the evaluation of the peptide distribution over the two dimensions was possible. Retention maps showed a highly orthogonal separation by AS24—as shown by the wide distribution over the two-dimensional space—some separation by AS11-HC and almost full retention of peptides on AS15 even when eluted with 1 M NaCl (Figure 1A). As the functionality in all three materials is identical, the difference of separation efficiency must depend on their differences in hydrophobicity. Indeed, addition of at least 25% AcN to the mobile phase allowed elution of tryptic peptides from AS15 and improved elution from AS11-HC (Figure 1B), showing that high hydrophobicity of the chemical backbones of these columns’ hampers the use for separation of peptides. Furthermore, the most hydrophilic member of the ion exchange materials in this line (AS25) performs similarly well as AS24 (Supporting Information, Figure S2) which led us to conclude that both the hydrophilicity in conjunction with the ion exchange functionality are important for the high orthogonality of this type of chromatography that we termed hydrophilic Strong Anion Exchange (hSAX) chromatography.
Figure 1

IonPac A24 shows high orthogonality, reproducibility and linearity. (A) 2D retention maps of peptides of a 6-protein mix digest show that elution with up to 1 M NaCl in absence of organic solvent leads to high orthogonality for AS24 (ultralow hydrophobicity), but part and full retention of peptides by AS11-HC (medium hydrophobicity) and AS15 (high hydrophobicity), respectively. (B) Addition of 25% acetonitrile (AcN) into the elution buffer enhances elution from AS11-HC and AS15. (C) Three replicate injections on AS24 over the course of 48 h show high reproducibility. (D) Increasing amounts of protein digest loaded on AS24 show good linear behavior without peak broadening.

IonPac A24 shows high orthogonality, reproducibility and linearity. (A) 2D retention maps of peptides of a 6-protein mix digest show that elution with up to 1 M NaCl in absence of organic solvent leads to high orthogonality for AS24 (ultralow hydrophobicity), but part and full retention of peptides by AS11-HC (medium hydrophobicity) and AS15 (high hydrophobicity), respectively. (B) Addition of 25% acetonitrile (AcN) into the elution buffer enhances elution from AS11-HC and AS15. (C) Three replicate injections on AS24 over the course of 48 h show high reproducibility. (D) Increasing amounts of protein digest loaded on AS24 show good linear behavior without peak broadening. Next, we tested how pH affected AS24 performance. As the functional groups are primarily quaternary amines, changes of pH have no to little effect on column chemistry, but will change the available negative charge on peptides. When the mobile phase was adjusted to pH 3, a major breakthrough was observed in 2D retention maps, which was absent at pH 8. Furthermore, acidic pH in sample solution, while keeping the mobile phase at pH 8, or changing the mobile phase to pH 10 reduced retention of peptides or had no beneficial effect (Supporting Information, Figure S3). We therefore performed all following experiments in 20 mM Tris-HCl, at pH 8. This has actually the benefit that tryptic digestion of the cell lysate can be performed at 20 mM Tris-HCl, pH 8 and directly injected on the column, avoiding solid phase extraction or lyophilization and, therefore, minimizing sample loss. Now that running conditions were optimized, we calculated the column efficiency of the AS24 on a digested peptide mixture from BSA (Supporting Information, Figure S4) and we analyzed the run-to-run reproducibility and linearity which is required for quantitative proteomics experiments, using replicate injections of digested 6-mix samples over a period of 48 h (Figure 1C) and injections of increasing material (Figure 1D). In both cases, AS24 showed very high reproducibility (Supporting Information, Figure S5) and good linearity (Supporting Information, Figure S6).

Separation of a Complex Proteome and Comparison to RP/RP

After optimized parameters were established, the method was applied to a very complex mixture, a total cell lysate of the mouse macrophage cell line RAW264.7. Tryptic peptides of 200 μg of cell lysate were separated on the AS24 column in a 35 min gradient from 0 to 1 M NaCl (34 fractions) which were automatically collected and injected onto a Gemini C18 column (Phenomenex). 2D retention maps show a very high orthogonality of separation between the two chromatographic dimensions (Figure 2A), displayed by the elution of peptides over the entire 2D map.
Figure 2

Separation of total cell lysate digests by hSAX and a high pH/low pH reversed phase approach show differences in orthogonality. Tryptic RAW264.7 macrophage cell lysate digests were separated on an AS24 SAX column (A) or an Acclaim PA2 RP column at pH 10 (B). Thirty-four fractions of both first dimensions were separated in the second dimension by reversed phase chromatography at pH 3.

Separation of total cell lysate digests by hSAX and a high pH/low pH reversed phase approach show differences in orthogonality. Tryptic RAW264.7 macrophage cell lysate digests were separated on an AS24 SAX column (A) or an Acclaim PA2 RP column at pH 10 (B). Thirty-four fractions of both first dimensions were separated in the second dimension by reversed phase chromatography at pH 3. Furthermore, we separated the same cell lysate digest on two different columns using high pH (pH 10)/ low pH (pH 3) RP/RP chromatography (Supporting Information, Figure S1) which has shown good orthogonality in the past and is currently seen as the gold standard in two-dimensional separation due to its high resolution.[32,33] We then optimized elution parameters and chose the Acclaim PA2 (Thermo-Fisher Scientific) as it performed best, likely due to its higher polarity than the conventional C18 (Acclaim 120, Thermo-Fisher Scientific). Then we compared its orthogonality to the AS24 ion exchange column using 2D peptide maps using identical run time and numbers of fractions (Figure 2B). 2D retention maps show that the hSAX/RP approach performs considerably better than the RP/RP approach, as a much greater area in the 2D maps is covered with peaks, while peptides in the RP/RP approach are scattered around the diagonal. This provides further evidence that high pH RP/low pH RP cannot be fully orthogonal, as both dimensions separate according to hydrophobicity. Recent approaches to concatenate early and late fractions of high pH RP to increase orthogonality have improved results;[32] however, concatenation involves user interference and might provide problems in quantitative proteomics experiments when the same peptides are then present in non-neighboring fractions as quantitative proteomics software such as MaxQuant requires peptides to be in neighboring fractions for accurate quantitation. In order to test both hSAX and high pH RP approaches for their performance in a proteomics experiment, we injected aliquots (3–6%, corresponding to ∼300–400 ng of protein digest; ∼1 × 108 base peak chromatogram) of each of the 34 fractions of the RAW264.7 cell lysate separated by hSAX or high pH RP onto an Orbitrap Velos Pro mass spectrometer, using 300 min gradients on a 75 μm × 50 cm Pepmap C18 column (Thermo-Fisher Scientific), corresponding to one week of instrument time each. Online separation of hSAX and high pH RP fractions showed a similar degree of orthogonality comparable to the offline 2D chromatography (Supporting Information, Figure S7A and B). MS/MS spectra were searched against the mouse IPI database v3.87 using X!Tandem. Peptide and protein probabilities were calculated using the TPP. Results were filtered at Peptide- and ProteinProphet estimated 1% FDR. While we identified with the RP/RP approach 99110 peptides and 8627 proteins (1% FDR), the hSAX approach resulted in identification of 126318 unique peptides and 9469 proteins, representing 28% and 10% more identifications respectively (Table 2 and Supporting Information, Table S1), while keeping the average sequence coverage equal (31% respectively 32%) (Supporting Information, Figure S8). Combining both approaches, we identified 159847 peptides and 9871 proteins showing that we could increase the number of peptides and proteins identified by only 20% and 4% respectively compared to hSAX alone (Table 2). In addition, we analyzed the data using the Andromeda search engine included in MaxQuant[28,29] which identified overall 6–8% less proteins and peptides in each experiment, but confirmed the superiority of our SAX approach (Table 2 and Supporting Information, Table S1). This data compares well to two recent publications in which about similar number of proteins were identified from a mammalian cell line using 3 different proteases and 2 weeks of instrument time[34] or in which samples were analyzed repeatedly with inclusion lists.[35]
Table 2

Proteins and Unique Peptides Identified by X!Tandem and Andromeda in the hSAX and High pH RP LC–MS Experiments from RAW264.7 Cell Lysate

separationsearch engineunique proteinsaunique peptidesb
1D-SAXX!Tandem9469126318
1D high pH RPX!Tandem862799110
combinedX!Tandem9871159847c
1D-SAXAndromeda8830116093
1D high pH RPAndromeda813195721
combinedAndromeda9613154553

Unique proteins (FDR ≤ 1%) according to ProteinProphet (X!Tandem) and MaxQuant (Andromeda).

Unique nonstripped peptides (FDR ≤ 1%) according to PeptideProphet (X!Tandem) and MaxQuant (Andromeda).

Number differing from Figure 4A due to FDR recalculation on combined pep.xml (PeptideProphet).

Unique proteins (FDR ≤ 1%) according to ProteinProphet (X!Tandem) and MaxQuant (Andromeda). Unique nonstripped peptides (FDR ≤ 1%) according to PeptideProphet (X!Tandem) and MaxQuant (Andromeda). Number differing from Figure 4A due to FDR recalculation on combined pep.xml (PeptideProphet).
Figure 4

hSAX/RP and RP/RP lead to the identification of different peptide subsets. (A) Both hSAX and RP approaches lead to the identification of different subsets of peptides with only about half the peptides identified in the two approaches (please note: number of combined peptides higher than in Table 2 due to FDR recalculation) (proportional Venn diagram has been produced using BioInfoRx). (B) In-depth analysis of the amino acid distribution in the subset of unique peptides revealed that hSAX favored more acidic peptides than RP, a trend that is more representative to the in-silico tryptic digestion of the whole IPI database. (C) Moreover, both hSAX and RP approaches showed similar peptide charge state distribution over the whole gradient, favoring doubly and triply charged peptide ions.

The high orthogonality of the hSAX approach is not only shown by the broad distribution in the 2D peptide maps, but also exemplified by the fact that we identified more than 3000 proteins in 16 out of 34 fractions, while the RP/RP approach achieved this for only 6 fractions (Figure 3A). Data also indicated that we could have saved instrument time by combining the last 5 fractions, which could have reduced run time by almost another day. The hSAX approach also showed a considerably higher number of proteins (7292 vs 6315 in RP/RP, +15%) that were identified with 3 and more peptides which considerably improves identification and quantitation in proteomics experiments.
Figure 3

Comparison of protein and peptide identifications from off-line separation by either hSAX/RP or RP/RP and LC–MS experiments. (A) The high orthogonality of the hSAX approach is exemplified by the identification of more than 3000 proteins in 16 out of 34 fractions, outperforming RP/RP approach (6 out of 34 fractions). (B) Moreover, the hSAX was comparable to the RP/RP approach in separating peptides in a single fraction (69% of RP peptides were present in one fraction compared to 55% for the hSAX approach), which is beneficial for quantitative proteomics experiments.

Comparison of protein and peptide identifications from off-line separation by either hSAX/RP or RP/RP and LC–MS experiments. (A) The high orthogonality of the hSAX approach is exemplified by the identification of more than 3000 proteins in 16 out of 34 fractions, outperforming RP/RP approach (6 out of 34 fractions). (B) Moreover, the hSAX was comparable to the RP/RP approach in separating peptides in a single fraction (69% of RP peptides were present in one fraction compared to 55% for the hSAX approach), which is beneficial for quantitative proteomics experiments. As quantitative proteomics performs best when peptides are only present in one fraction, we tested how many peptides were only identified in a single fraction. Here, the RP/RP approach expectedly outperformed the hSAX approach, showing a higher resolution as 69% of peptides were present in one fraction compared to 55% for the hSAX approach (Figure 3B). Only 18.5% (hSAX) and 11.6% (RP) of all peptides respectively were identified in 3 or more fractions. Nevertheless, separation on the AS24 showed good resolution for quantitative proteomics experiments. In addition, separate experiments with dimethyl-labeled[36] proteome samples indicated that deuterated samples do not change retention time in hSAX chromatography as they can do in RP experiments (data not shown), which can potentially separate light and heavy forms of isotopically labeled peptides into neighboring fractions complicating peptide quantitation. Interestingly, the two techniques seem to favor certain subsets of peptides as only 58679 peptides (46% for hSAX and 60% for RP) are shared among the two approaches (Figure 4A). To further identify the characteristics of these subsets, we analyzed which amino acids were over-represented in the data sets unique to each approach (Supporting Information, Figure S9) and identified peptides with a higher number of acidic residues to be the major contributor to the difference (Figure 4B). Furthermore, the peptides identified by the hSAX approach matched much better to an in silico digest of all proteins of the mouse IPI database (Figure 4B), suggesting that the hSAX approach allows for the identification of more representative peptides of the total proteome than the RP/RP approach. hSAX/RP and RP/RP lead to the identification of different peptide subsets. (A) Both hSAX and RP approaches lead to the identification of different subsets of peptides with only about half the peptides identified in the two approaches (please note: number of combined peptides higher than in Table 2 due to FDR recalculation) (proportional Venn diagram has been produced using BioInfoRx). (B) In-depth analysis of the amino acid distribution in the subset of unique peptides revealed that hSAX favored more acidic peptides than RP, a trend that is more representative to the in-silico tryptic digestion of the whole IPI database. (C) Moreover, both hSAX and RP approaches showed similar peptide charge state distribution over the whole gradient, favoring doubly and triply charged peptide ions. Finally, we tested how separation via hSAX affected the charge-state distribution of peptide ions in mass spectrometry over the gradient. Unlike SCX, peptides fractionated by SAX should not show a charge-distribution as the negative charges by which the peptides were separated in the first dimension at pH 8 do not affect electrospray ionization (ESI) after separation at pH 3 in the second dimension, where basic residues are critical. Evaluation of peptide charge states showed that peptides separated by both hSAX and RP/RP showed a relatively even charge state distribution over the whole gradient (Figure 4C). This is of great advantage as the identification of doubly and triply charged peptide ions is highly favored in ESI–MS/MS compared to singly and highly charged ions which populate, for example, early and late fractions of SCX experiments.[37]

Conclusion

In this work we demonstrate that hydrophilic strong anion exchange chromatography provides a robust and reproducible separation of complex protein digest samples for proteomics analysis. Its very high orthogonality proved to be superior to an optimized high pH RP/low pH RP approach and enabled us to identify >9,000 proteins from RAW264.7 mouse macrophage cell lysate in just one week of mass spectrometry instrument time which will allow a better comparison of proteomics and transcriptomics data. In the future, we will test the applicability of the hSAX material for online 2D LC-MS and the separation of complex mammalian proteomes for quantitative proteomics as well as phosphopeptide analysis.
  36 in total

1.  Automated LC-LC-MS-MS platform using binary ion-exchange and gradient reversed-phase chromatography for improved proteomic analyses.

Authors:  M T Davis; J Beierle; E T Bures; M D McGinley; J Mort; J H Robinson; C S Spahr; W Yu; R Luethy; S D Patterson
Journal:  J Chromatogr B Biomed Sci Appl       Date:  2001-03-10

2.  An automated multidimensional protein identification technology for shotgun proteomics.

Authors:  D A Wolters; M P Washburn; J R Yates
Journal:  Anal Chem       Date:  2001-12-01       Impact factor: 6.986

3.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

4.  A statistical model for identifying proteins by tandem mass spectrometry.

Authors:  Alexey I Nesvizhskii; Andrew Keller; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2003-09-01       Impact factor: 6.986

5.  Large-scale analysis of in vivo phosphorylated membrane proteins by immobilized metal ion affinity chromatography and mass spectrometry.

Authors:  Thomas S Nühse; Allan Stensballe; Ole N Jensen; Scott C Peck
Journal:  Mol Cell Proteomics       Date:  2003-09-22       Impact factor: 5.911

6.  Electrostatic repulsion hydrophilic interaction chromatography for isocratic separation of charged solutes and selective isolation of phosphopeptides.

Authors:  Andrew J Alpert
Journal:  Anal Chem       Date:  2007-11-21       Impact factor: 6.986

7.  Large-scale phosphoproteome analysis of human liver tissue by enrichment and fractionation of phosphopeptides with strong anion exchange chromatography.

Authors:  Guanghui Han; Mingliang Ye; Houjiang Zhou; Xinning Jiang; Shun Feng; Xiaogang Jiang; Ruijun Tian; Dafang Wan; Hanfa Zou; Jianren Gu
Journal:  Proteomics       Date:  2008-04       Impact factor: 3.984

8.  Anion and cation mixed-bed ion exchange for enhanced multidimensional separations of peptides and phosphopeptides.

Authors:  Akira Motoyama; Tao Xu; Cristian I Ruse; James A Wohlschlegel; John R Yates
Journal:  Anal Chem       Date:  2007-04-06       Impact factor: 6.986

9.  Hydrophilic-interaction chromatography for the separation of peptides, nucleic acids and other polar compounds.

Authors:  A J Alpert
Journal:  J Chromatogr       Date:  1990-01-19

10.  A common open representation of mass spectrometry data and its application to proteomics research.

Authors:  Patrick G A Pedrioli; Jimmy K Eng; Robert Hubley; Mathijs Vogelzang; Eric W Deutsch; Brian Raught; Brian Pratt; Erik Nilsson; Ruth H Angeletti; Rolf Apweiler; Kei Cheung; Catherine E Costello; Henning Hermjakob; Sequin Huang; Randall K Julian; Eugene Kapp; Mark E McComb; Stephen G Oliver; Gilbert Omenn; Norman W Paton; Richard Simpson; Richard Smith; Chris F Taylor; Weimin Zhu; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2004-11       Impact factor: 54.908

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  29 in total

1.  Comprehensive and reproducible phosphopeptide enrichment using iron immobilized metal ion affinity chromatography (Fe-IMAC) columns.

Authors:  Benjamin Ruprecht; Heiner Koch; Guillaume Medard; Max Mundt; Bernhard Kuster; Simone Lemeer
Journal:  Mol Cell Proteomics       Date:  2014-11-13       Impact factor: 5.911

2.  A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.

Authors:  Mikhail M Savitski; Mathias Wilhelm; Hannes Hahne; Bernhard Kuster; Marcus Bantscheff
Journal:  Mol Cell Proteomics       Date:  2015-05-17       Impact factor: 5.911

Review 3.  Multidimensional proteomics for cell biology.

Authors:  Mark Larance; Angus I Lamond
Journal:  Nat Rev Mol Cell Biol       Date:  2015-04-10       Impact factor: 94.444

Review 4.  Protein analysis by shotgun/bottom-up proteomics.

Authors:  Yaoyang Zhang; Bryan R Fonslow; Bing Shan; Moon-Chang Baek; John R Yates
Journal:  Chem Rev       Date:  2013-02-26       Impact factor: 60.622

5.  High Sensitivity Quantitative Proteomics Using Automated Multidimensional Nano-flow Chromatography and Accumulated Ion Monitoring on Quadrupole-Orbitrap-Linear Ion Trap Mass Spectrometer.

Authors:  Paolo Cifani; Alex Kentsis
Journal:  Mol Cell Proteomics       Date:  2017-08-18       Impact factor: 5.911

6.  Improved mass spectrometric detection of acidic peptides by variations in the functional group pKa values of reverse micelle extraction agents.

Authors:  Bo Zhao; Mahalia A C Serrano; Meizhe Wang; Tianying Liu; Mallory R Gordon; S Thayumanavan; Richard W Vachet
Journal:  Analyst       Date:  2018-03-12       Impact factor: 4.616

Review 7.  Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease.

Authors:  Paolo Cifani; Alex Kentsis
Journal:  Proteomics       Date:  2016-12-21       Impact factor: 3.984

8.  Proteome-wide analysis of protein abundance and turnover remodelling during oncogenic transformation of human breast epithelial cells.

Authors:  Tony Ly; Aki Endo; Alejandro Brenes; Marek Gierlinski; Vackar Afzal; Andrea Pawellek; Angus I Lamond
Journal:  Wellcome Open Res       Date:  2018-05-02

Review 9.  Liquid phase based separation systems for depletion, prefractionation, and enrichment of proteins in biological fluids and matrices for in-depth proteomics analysis-An update covering the period 2011-2014.

Authors:  Chanida Puangpila; Erandi Mayadunne; Ziad El Rassi
Journal:  Electrophoresis       Date:  2014-11-24       Impact factor: 3.535

10.  Towards Understanding Male Infertility After Spinal Cord Injury Using Quantitative Proteomics.

Authors:  Barbara Ferreira da Silva; Chen Meng; Dominic Helm; Fiona Pachl; Jürgen Schiller; Emad Ibrahim; Charles M Lynne; Nancy L Brackett; Ricardo Pimenta Bertolla; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2016-01-26       Impact factor: 5.911

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