Originally published In Press as doi:10.1074/mcp.M600480-MCP200 on May 17, 2007.
Molecular & Cellular Proteomics 6:1380-1391, 2007.
© 2007 by The American Society for Biochemistry and Molecular Biology, Inc.
Research
Reference-facilitated Phosphoproteomics
FAST AND RELIABLE PHOSPHOPEPTIDE VALIDATION BY µLC-ESI-Q-TOF MS/MS*,S
Susumu Y. Imanishi
,
,
Vitaly Kochin
,
,
Saima E. Ferraris
,¶,
Aurélie de Thonel
,
,
Hanna-Mari Pallari
,¶,
Garry L. Corthals
and
John E. Eriksson
,
,||
From the
Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, FIN-20521 Turku, Finland,
Department of Biology, Åbo Akademi University, FIN-20521 Turku, Finland, and ¶ Department of Biology, University of Turku, FIN-20014 Turku, Finland
 |
ABSTRACT
|
|---|
Recent advances in instrument control and enrichment procedures have enabled us to quantify large numbers of phosphoproteins and record site-specific phosphorylation events. An intriguing problem that has arisen with these advances is to accurately validate where phosphorylation events occur, if possible, in an automated manner. The problem is difficult because MS/MS spectra of phosphopeptides are generally more complicated than those of unmodified peptides. For large scale studies, the problem is even more evident because phosphorylation sites are based on single peptide identifications in contrast to protein identifications where at least two peptides from the same protein are required for identification. To address this problem we have developed an integrated strategy that increases the reliability and ease for phosphopeptide validation. We have developed an off-line titanium dioxide (TiO2) selective phosphopeptide enrichment procedure for crude cell lysates. Following enrichment, half of the phosphopeptide fractionated sample is enzymatically dephosphorylated, after which both samples are subjected to LC-MS/MS. From the resulting MS/MS analyses, the dephosphorylated peptide is used as a reference spectrum against the original phosphopeptide spectrum, in effect generating two peptide spectra for the same amino acid sequence, thereby enhancing the probability of a correct identification. The integrated procedure is summarized as follows: 1) enrichment for phosphopeptides by TiO2 chromatography, 2) dephosphorylation of half the sample, 3) LC-MS/MS-based analysis of phosphopeptides and corresponding dephosphorylated peptides, 4) comparison of peptide elution profiles before and after dephosphorylation to confirm phosphorylation, and 5) comparison of MS/MS spectra before and after dephosphorylation to validate the phosphopeptide and its phosphorylation site. This phosphopeptide identification represents a major improvement as compared with identifications based only on single MS/MS spectra and probability-based database searches. We investigated an applicability of this method to crude cell lysates and demonstrate its application on the large scale analysis of phosphorylation sites in differentiating mouse myoblast cells.
Reversible protein phosphorylation, at specific serine, threonine, and tyrosine residues, is a key determinant in many fundamental cellular functions such as survival, differentiation, structural organization, and stress responses (1–4). Significant progress has been made in phosphopeptide identification at the femtomole level as phosphoproteomics, which permits rapid and effective identification and quantification of a large number of phosphoproteins (5–18). Large scale phosphoproteomics analysis generally depends on selective proteolytic digestions, selective phosphopeptide enrichment methods, and sensitive and informative LC-MS/MS. However, there are several unsolved issues regarding the use of these techniques in biological applications. Although recent improvements of phosphopeptide enrichment methods have raised the expectations for the field of phosphoproteomics (5, 9, 17, 19–21), the technologies used are still not reliable and easy enough, and the general level of knowledge is insufficient for global in vivo analysis of phosphopeptides. In particular, reliable site-specific phosphopeptide identification and validation by MS/MS is more difficult than identification of unmodified peptides.
Current large scale proteomics analyses based on MS and database searches most likely include a substantial number of false positive identifications (22, 23). Currently identification of at least two unique peptides, of significant quality or high probability, derived from each protein are required for reliable protein identification. In large scale phosphorylation studies, the likelihood of false positive data is much greater because the identification of phosphorylation is based on a single peptide identification, and MS/MS spectra of phosphopeptides are typically more complicated than those of unmodified peptides. Thus, there is a great risk of a large number of false positive identifications of phosphorylation sites. In this study, we show by examples that in many cases the phosphopeptides can be found, but the exact site of phosphorylation is ambiguous or difficult to pinpoint.
To pinpoint the site of phosphorylation one must use one or more of a number of reliable methods available for validation of phosphorylation sites. However, these are not adequate when applied to large scale phosphoproteomics data because the number of identifications can overwhelm cost and personnel resources in most laboratories. Fig. 1 presents the dilemma in scaling up: more putative identifications but less confidence in what is correct. Therefore we have developed a relatively fast and reliable phosphopeptide validation procedure. To validate phosphopeptide identification, phosphopeptides are enzymatically dephosphorylated, after which the dephosphorylated peptide is used as a reference product against the original phosphopeptide. Comparison of phosphopeptide and corresponding dephosphorylated peptide is achieved after performing a two-step LC-MS/MS procedure, with a tandem-in-space mass spectrometer (in our case a hybrid Q-TOF tandem mass spectrometer), on both the phosphopeptide sample and the corresponding dephosphorylated sample. To succeed with this strategy, a significantly improved off-line phosphopeptide enrichment method compatible with LC-MS was developed. This step in the overall procedure eliminates corresponding non-phosphorylated peptides from the original sample prior to the following enzymatic dephosphorylation step of the phosphopeptide-enriched fraction. The enriched phosphopeptide fraction is then dephosphorylated, thereby creating a pool of peptides that had once been phosphorylated. Two common phosphopeptide enrichment method procedures were further developed, IMAC (16, 17, 24) and titanium dioxide (TiO2)1 chromatography (20, 25–27), with marked optimization especially on the latter technique (our recent report (24) already described the optimization of IMAC). After the development of the phosphopeptide validation method using caseins we investigated the applicability of this method with differentiating mouse myoblast cells.

View larger version (15K):
[in this window]
[in a new window]
|
FIG. 1. Validation of phosphopeptide identification. The recent phosphoproteomics technique using LC-MS/MS and database search enables us to identify a large number of phosphopeptides; however, they could contain false-positive identifications. Although careful manual validation of MS/MS spectra could help a lack of recognition by the database search, it is still not convincing because phosphopeptide identification depends on only single MS/MS datum. When 10 phosphopeptides are identified, possible validation methods include 32P labeling (54, 55) with amino acid mutations or comparison with synthetic phosphopeptides as reference materials; however, they are time-consuming and not applicable to hundreds or thousands of identifications, which could contain a considerable number of false positive identifications, e.g. identifications with at least 95% probability could contain at most 5% false positive identifications. There was no standard validation method for the large scale phosphoproteomics data. Therefore, we have developed a fast and reliable phosphopeptide validation method using phosphatase treatment and µLC-ESI-Q-TOF MS/MS.
|
|
 |
EXPERIMENTAL PROCEDURES
|
|---|
Tryptic Digests of Standard Phosphoproteins—
Commercially available phosphoproteins, 1 nmol of bovine
- and ß-casein (Sigma), were separately digested with 1 µg of modified trypsin (Promega, Madison, WI) in 900 µl of 50 mM NH4HCO3 at 37 °C for 20 h. Tryptic digests were slightly acidified with HCOOH and adjusted to 1 ml with H2O (1 pmol/µl). Also a tryptic digest of non-phosphorylated protein, BSA (Sigma), was prepared to a final concentration of 10 pmol/µl. To optimize the elution condition in TiO2 chromatography, 10 µl of the tryptic casein mixture consisting of 5 pmol of both tryptic
- and ß-casein was 10-fold diluted with 0.1% TFA, 80% ACN, which was initially used as a TiO2 washing solution, and then subjected to TiO2 chromatography (see below). To optimize washing conditions in IMAC and TiO2 chromatography, 10 µl of tryptic casein and BSA mixture consisting of 500 fmol of both tryptic
- and ß-caseins and 25 pmol of BSA was 10-fold diluted with one of the tested washing solutions and then subjected to IMAC or TiO2 chromatography (see below).
Optimization of TiO2 Procedure—
The TiO2 chromatography procedure used in this study was as follows. The Sachtopore-NP TiO2 beads (20 µm, 300 Å; ZirChrom, Anoka, MN) were suspended in 0.1% TFA, 30% ACN to a final concentration of 10 mg of TiO2/ml. Twenty microliters of this TiO2 suspension was loaded onto a constricted GELoader tip (Eppendorf, Hamburg, Germany). Note that an end cap filter, such as Empore C8 membrane (20), was not needed to pack the TiO2 beads into the constricted GELoader tip. After equilibration of the TiO2 microcolumn with 10 µl of one of the tested washing solutions, the tryptic casein mixture or the tryptic casein and BSA mixture diluted with the washing solution was loaded onto the column. Three washes of the column were performed with 10 µl of the washing solution followed by an additional wash with 10 µl of 0.1% TFA. The retained peptides were eluted with 10 µl of one of the tested eluants and immediately acidified with HCOOH if the eluant used was basic. For MALDI-MS, volatile eluant can be removed by evaporation and followed by two repeat evaporations after addition of 50 µl of H2O. To optimize the elution condition the eluate was dissolved with 10 µl of 0.1% HCOOH, but 5 µl was used to optimize the washing condition. However, non-volatile eluants were desalted with a C18 microcolumn. The TiO2 eluates were 10-fold diluted with 0.1% HCOOH; loaded onto a microcolumn that was made with a piece of Empore C18 disk (3M, St. Paul, MN) packed into a 200-µl pipette tip (28); washed three times with 10 µl of 0.1% HCOOH; eluted with 5 µl of 0.1% HCOOH, 80% ACN; and then diluted with 5 µl of 0.1% HCOOH.
Optimization of IMAC Procedure—
The IMAC procedure used in this study was as follows. The Poros 20 MC beads (Applied Biosystems, Framingham, MA) were charged with FeCl3 and reconstituted to a final concentration of 10 mg of Poros beads/ml of 70 mM CH3COOH, 30% ACN solution. Twenty microliters of this Fe3+-Poros slurry was loaded onto a constricted GELoader tip (29). After equilibration of the IMAC microcolumn with 10 µl of one of the tested washing solutions (such as 500 mM CH3COOH, 30% ACN), the tryptic casein and BSA mixture diluted with the washing solution was loaded onto the column. Three washes of the column were performed with 10 µl of the washing solution, and then the retained peptides were eluted with 10 µl of the previously optimized IMAC eluant, 5% H3PO4, 50% ACN (24). For MALDI-MS, the IMAC eluates were applied to the C18 microcolumn; washed with 0.1% HCOOH; eluted with 2.5 µl of 0.1% HCOOH, 80% ACN; and then diluted with 2.5 µl of 0.1% HCOOH.
MALDI-MS—
MALDI-MS was performed using an Ultraflex TOF/TOF tandem mass spectrometer (Bruker Daltonics, Bremen, Germany). Aliquots (0.5 µl) of the IMAC and TiO2 eluates with or without the C18 treatment were loaded onto an AnchorChip MALDI probe (400 µm; Bruker Daltonics) together with 0.5 µl of a matrix solution consisting of 5g/liter 2,5-dihydroxybenzoic acid (DHB; Aldrich), 0.3% H3PO4 (30, 31). All spectra were obtained from m/z 640 to m/z 4000 by 3000 laser shots in positive reflector mode. The washing and elution efficacies of IMAC and TiO2 chromatography were investigated using the reported tryptic phosphopeptides derived from
- and ß-caseins (Supplemental Table 1) (20, 31).
Alkaline Phosphatase Treatment Followed by LC-MS/MS—
One picomole of the tryptic casein mixture was enriched for phosphopeptides using our optimized TiO2 chromatography, which consisted of washing with 750 mM TFA, 80% ACN and elution with 5% NH4OH (pH 12.0). The TiO2 eluate was acidified with HCOOH, evaporated, and then dissolved with 20 µl of 100 mM NH4HCO3. One-half was enzymatically dephosphorylated with 10 µl of 0.1 unit of alkaline phosphatase (AP; Promega, calf intestinal)/µl of 100 mM NH4HCO3 at 37 °C for 1 h. After desalting with the C18 microcolumn, aliquots of the resulting TiO2 and TiO2-AP samples corresponding to 80 fmol of caseins were subjected to LC-MS/MS, Mascot database search, and the data comparison before and after AP treatment. Note that 20 units/µl Promega AP containing 50% glycerol was used in this study; however, complete removal of glycerol with C18 material was not achieved, and consequently (even small amounts of) glycerol affected the LC-MS/MS analysis. We now use and advise use of an alternative AP reagent containing no glycerol (Roche Applied Science, calf intestinal, enzyme immunoassay (EIA) grade).
Reference-facilitated Phosphoproteomics Analysis of Differentiating Mouse Myoblasts—
C2C12 mouse myoblast cells were grown at 37 °C in a 7% CO2 atmosphere in proliferation medium consisting of Dulbecco's modified Eagle's medium (Invitrogen) supplemented with 10% (v/v) fetal bovine serum, 2 mM glutamine, penicillin G, and streptomycin in a 150-mm cell culture dish. When the cells were grown to 80% confluence, differentiation was induced by replacing the proliferation medium with differentiation medium (Dulbecco's modified Eagle's medium supplemented with 2% fetal calf serum and 4 mM glutamine) and further incubation at 37 °C. After 48 h in differentiation medium, the cells (of which the population was usually around 2 x 107 in the dish) were directly lysed in two aliquots of 500 µl of Laemmli SDS-PAGE sample buffer (total, 1 ml) and boiled for 5 min. A quarter of the cell lysate was separated by SDS-PAGE in two 10% acrylamide gels (8-cm width x 7-cm height, 12 of 20 lanes were used).
Ten even bands of the gels were cut out from top to bottom (bands 1–10). Each gel band was washed with 50 mM NH4HCO3, 50% ACN; reduced with 10 mM DTT in 50 mM NH4HCO3; alkylated with 50 mM iodoacetamide in 50 mM NH4HCO3; washed with 50 mM NH4HCO3, 50% ACN three times and with ACN; evaporated; and then in-gel digested with 1 µg of modified trypsin in 400 µl of 50 mM NH4HCO3 at 37 °C for 16 h. Tryptic digests were eluted with 0.1% HCOOH, 50% ACN twice and with ACN, evaporated, and subjected to TiO2 chromatography. Each half of the TiO2 eluates (bands 1–10) was dephosphorylated by AP treatment. After desalting with the C18 microcolumn, the resulting TiO2 and TiO2-AP samples were subjected to LC-MS/MS, Mascot database search (below), and the data comparison before and after AP treatment. The procedure used for this analysis is summarized in Fig. 2.

View larger version (12K):
[in this window]
[in a new window]
|
FIG. 2. Experimental scheme of reference-facilitated phosphoproteomics analysis of differentiating C2C12 cells.
|
|
µLC-ESI-Q-TOF MS/MS—
LC-MS/MS was performed with a nanoflow LC system (Famos, SwitchosII, and Ultimate; LC Packings, Sunnyvale, CA) coupled to a QSTAR Pulsar ESI-hybrid Q-TOF tandem mass spectrometer (Applied Biosystems/MDS Sciex, Toronto, Canada). The program Analyst QS (version 1.1; Applied Biosystems) was used for data acquisition and instrument control. A 0.3 x 5-mm PepMap C18 µ-precolumn (LC Packings) and 75-µm x 15-cm PepMap C18 analytical column (LC Packings) were used. The mobile phases were 5% ACN, 0.1% HCOOH (A) and 95% ACN, 0.1% HCOOH (B). The LC gradient elution condition was initially 1% B to 5% B (5 min), 25% B (10 min), 60% B (30 min), 99% B (35–55 min), and then initial concentration 1% B (60–80 min) with a flow rate of 200 nl/min. Data-dependent acquisition was performed in positive ion mode. MS spectra were acquired for 1 s from m/z 200 to m/z 2000. Two of the most intense precursor ions doubly or triply charged were selected from m/z 250 to m/z 2000. MS/MS spectra generated with CID were acquired for 3 s from m/z 50 to m/z 2000. The collision energy (CE) was automatically calculated based upon peptide charge and m/z; CE against doubly charged peptide was 0.0625 x m/z – 3 (V), and CE against triply charged peptide was 0.0625 x m/z – 5 (V). Maximum allowed CE was set to 80 V. A dynamic exclusion window was applied that prevented the same m/z from being selected for 2 min after its acquisition.
Mascot Database Search—
Data were analyzed with the Analyst QS software, and peak lists were generated using the Mascot.dll script of the software. MS/MS spectra were centroided and deisotoped. Peak intensity threshold was at 0.1% of the base peak. Data of caseins and mouse myoblasts were searched using Mascot (version 2.1; Matrix Sciences, Boston, MA) against the Swiss-Prot database (version 48.5, other Mammalia, 6907 sequences) on December 9, 2005 and the National Center for Biotechnology Information non-redundant (NCBI nr) database (version 20051120, Mus musculus, 96,500 sequences) on November 26, 2005, respectively. One missed cleavage site was allowed, carbamidomethylation was searched as a fixed modification, and methionine oxidation and phosphorylation of serine/threonine/tyrosine were allowed as variable modifications. Mass tolerance in MS and MS/MS modes was 0.2 Da. Searched peptide sequences with the expectation value (in Mascot searches) less than 0.05 indicated identity, which roughly showed a Mascot score of more than 25 against Swiss-Prot database (other Mammalia) and more than 37 against NCBI nr database (M. musculus). Although molecular weight suggested by SDS-PAGE was used as supporting information, proteins shown in this study were singled out as examples from the multiple candidates searched by Mascot without any other supporting information. Therefore, results of this study should not ensure precise protein identifications but phosphopeptide identifications.
 |
RESULTS
|
|---|
Optimization of IMAC and TiO2 Chromatography for Phosphopeptide Enrichment—
The efficacy of the several washing and elution conditions in off-line Fe3+-charged IMAC and TiO2 chromatography was evaluated with the reported phosphopeptides (20, 31) derived from tryptic digests of commercially available phosphoproteins, bovine
- and ß-caseins, by MALDI-MS. First the phosphopeptide elution condition of TiO2 chromatography was optimized. Tryptic digests of 5 pmol of caseins were loaded onto the TiO2 microcolumn followed by washing with 0.1% TFA, 80% ACN. Phosphopeptides were eluted with the following eluants: NH4OH, Na2HPO4, H3PO4/ACN, and NH4H2PO4/ACN. Aliquots (5%, v/v) of eluates desalted with a C18 microcolumn were analyzed and compared by MALDI-MS with DHB/H3PO4 matrix (30, 31). Many reported phosphopeptides (
18) were observed even after washing with the high concentration of ACN (Supplemental Table 1). The eluant 5% NH4OH (pH 12.0) showed a greater number of phosphopeptides (15 phosphopeptides), especially multiply phosphorylated peptides, with more intensity and better signal-to-noise ratio than other tested eluants. The order of the elution efficacy was 5% NH4OH (pH 12.0) > 0.6% NH4OH (pH 10.5)
100 mM Na2HPO4 > 5% H3PO4, 50% ACN > 100 mM NH4H2PO4, 50% ACN (Supplemental Fig. 1). The reported eluant NH4OH (20) also was most efficient in our experiments (32). Although NH4OH (pH 10.5) has been reported previously as the optimal eluant with other TiO2 beads (Titansphere, 5 µm; GL Sciences, Tokyo, Japan) where a more basic eluant did not result in further improvement (20), here NH4OH (pH 12.0) was more efficient as an eluant using the Sachtopore-NP TiO2 beads (20 µm; ZirChrom).
Subsequently the washing condition of TiO2 chromatography was optimized. Tryptic digests of 500 fmol of caseins and an excess of 25 pmol of BSA were loaded onto the TiO2 microcolumn followed by washing with each solution (such as DHB/TFA/ACN, TFA/ACN, and CH3COOH/ACN). Aliquots (10%, v/v) of 5% NH4OH eluates were analyzed and compared by MALDI-MS. The volatile NH4OH was removed from the eluates by evaporation, instead of the C18 treatment, prior to MALDI-MS analysis. The order of the washing efficacy was 750–1500 mM TFA, 80% ACN > 375 mM TFA, 80% ACN > 150 mM TFA, 80% ACN >> 0.1% TFA, 80% ACN
20 g/liter DHB, 0.1% TFA, 80% ACN > 100–1000 mM CH3COOH, 80% ACN (Supplemental Fig. 2). The efficacy correlated with TFA concentration, and washing with the high concentration of TFA significantly decreased nonspecific binding of peptides, whereas the casein phosphopeptides are still retained by the TiO2 microcolumn (32). The optimized TFA concentration of 750 mM is
6% (v/v) TFA. The reagents used in this optimized TiO2 chromatography can be removed by either evaporation or C18 microcolumn. After the evaporation, almost all peptides containing a methionine residue appeared to be oxidized.
Optimization of the elution condition in Fe3+-charged IMAC has already been achieved in our previous study, and the H3PO4/ACN eluant was more efficient than previously known IMAC eluants such as DHB/H3PO4/ACN, Na2HPO4, NH4H2PO4, and NH4OH (24). Therefore, the washing condition of IMAC was also investigated as well (Supplemental Fig. 3). Washing with a high concentration of CH3COOH decreased nonspecific binding peptides; however, neither TFA nor a high concentration of ACN resulted in sufficient phosphopeptide retention. In the end, the IMAC and TiO2 chromatography optimized in this study were compared, and consequently the TiO2 chromatography was more highly selective for the phosphopeptides than the IMAC (Fig. 3).

View larger version (12K):
[in this window]
[in a new window]
|
FIG. 3. Optimization and comparison of IMAC and TiO2 chromatography. Washing and elution conditions in off-line Fe3+-charged IMAC and TiO2 chromatography were optimized as indicated in the figure (refer to Supplemental Figs. 1–3). To compare the optimized IMAC and TiO2 chromatography, tryptic digests of 500 fmol of caseins and an excess (25 pmol) of BSA were loaded onto both microcolumns, and after the washing, aliquots (10%, v/v) of the eluates were analyzed by MALDI-MS. Consequently the TiO2 chromatography was more highly selective for the phosphopeptides than the IMAC. The reagents used in the optimized TiO2 chromatography can be removed by either evaporation or C18 treatment. Almost all peptides containing a methionine residue appeared to be oxidized after the evaporation. Reported casein phosphopeptides (20, 31) and their oxidized forms are indicated by a red asterisk and blue pound sign, respectively (Supplemental Table 1).
|
|
Comparison of Tryptic Casein Phosphopeptides by µLC-ESI-Q-TOF MS/MS before and after Enzymatic Dephosphorylation—
To develop the validation method of phosphopeptide identification, enzymatic dephosphorylation and comparative LC-MS/MS analysis were evaluated. After TiO2 chromatography of 1 pmol of tryptic caseins, half of the resulting eluate was treated with AP. Aliquots of both casein samples, TiO2 and TiO2-AP, corresponding to 80 fmol were subjected to µLC-ESI-Q-TOF MS/MS, and consequently four singly phosphorylated peptides (TiO2) and eight non-phosphorylated peptides (TiO2-AP) were identified (Supplemental Table 1). In the TiO2 sample only phosphorylated peptides were found, and in the TiO2-AP sample only dephosphorylated peptides were found. All methionine-containing peptides were identified only in oxidized form. Four of the eight dephosphorylated peptides corresponded to the four phosphopeptides. Phosphopeptide enrichment with TiO2 chromatography and ensuing enzymatic dephosphorylation were more stringently evaluated by comparison of extracted ion chromatograms (XICs; ±0.2 Da) of TiO2 and TiO2-AP samples. Only phosphopeptides and the corresponding dephosphorylated peptides with the same oxidation states and charge states were used for all the comparative analyses in this study. Phosphopeptide ion peaks were clearly observed in the XIC of the TiO2 sample; however, no ion peaks of the corresponding non-phosphorylated peptides (
m used for HPO3, 79.9663 Da) were observed (Fig. 4). As expected, phosphopeptide peaks were not observed in the XIC of the TiO2-AP sample; however, ions for the corresponding dephosphorylated peptides were clearly observed. All of the four corresponding dephosphorylated peptides showed slightly earlier retention time than the singly phosphorylated peptides, corroborating with previous findings (33, 34). It should be noted that the peak areas of the corresponding dephosphorylated peptides were 2–5 times larger than the phosphopeptides. One of the reasons for that could be false negative identification of multiply phosphorylated peptides in the TiO2 sample. These results indicated that the identified phosphopeptides were enzymatically dephosphorylated; therefore, phosphorylation was not only suggested by the database search of MS/MS spectra but also confirmed by the enzymatic reaction.

View larger version (28K):
[in this window]
[in a new window]
|
FIG. 4. Confirmation of phosphorylation by enzymatic dephosphorylation. XICs (±0.2 Da) of tryptic phosphopeptides and the corresponding non-/dephosphorylated peptides with the same charge state were compared after the TiO2 chromatography. A tryptic phosphopeptide derived from -S2-casein (CAS2_BOVIN), 153TVDoMEpSTEVFTK164 ([M + 2H]2+ m/z 741.80), is shown as an example. Phosphopeptide was clearly detected in the TiO2 sample without the corresponding non-phosphorylated peptide ([M + 2H]2+ m/z 701.82). After the AP treatment, only the corresponding dephosphorylated peptide was clearly detected instead of the phosphopeptide. These results indicated that phosphorylation was confirmed by the enzymatic dephosphorylation. cps, counts per second; pS, phosphoserine.
|
|
Although four of the singly phosphorylated tryptic casein peptides were identified by the Mascot database search of the MS/MS spectra, some of them had multiple candidates of phosphorylation sites with high probability; for example a phosphopeptide derived from
-S2-casein (CAS2_BOVIN), 153TVDoMEpSTEVFTK164 where oM is oxidized methionine and pS is phosphoserine ([M + 2H]2+ m/z 741.80), was identified with two phosphorylation site candidates, Ser(P)158 and Thr(P)159, with Mascot scores of 64.0 and 50.8, respectively (Fig. 5A). To identify the exact phosphorylation site, fragment ions between the candidates must be annotated; however, they are often uncertain due to poor ion signals and/or other misleading ions. By comparing MS/MS spectra of the phosphopeptides and the corresponding dephosphorylated peptides, we found with our setup that both showed highly similar fragmentation patterns for two aspects: the first was the presence of fragment ions, and the second was our observation of their similar intensity distribution (Fig. 5A). Although full estimation of detectable fragment ions is generally not easy or practical, using corresponding dephosphorylated peptides as reference products provides a new and informative fragmentation analysis of these phosphopeptides by peptide presence and similarity.

View larger version (21K):
[in this window]
[in a new window]
|
FIG. 5. Validation of a phosphopeptide and its phosphorylation site. A, MS/MS spectra of a tryptic phosphopeptide, 153TVDoMEpSTEVFTK164, and the corresponding dephosphorylated peptide were compared. The spectra were centroided. They showed highly similar fragmentation patterns for not only the mass of fragment ions but also their intensity distributions. This feature is available to quickly validate phosphopeptide sequence identification based on the more reliable identification of the dephosphorylated peptide. In this case, two phosphorylation site candidates, Ser(P)158 and Thr(P)159, were suggested as highly probable with Mascot scores of 64.0 and 50.8, respectively. Fragment ion annotations of the phosphopeptide were validated as stated below. Consequently the weak but validated y6 ion between the two candidates clarified the ambiguous phosphorylation site candidates to the known site, Ser(P)158. B, fragment ion annotations are validated by the comparison of MS/MS spectra. The fragment ion containing the phosphorylated serine/threonine residues mainly shows –18.01 Da (dominant neutral loss of H3PO4) and also a small amount of +79.97 Da (original fragment ion) in comparison with the corresponding fragment ion derived from the dephosphorylated peptide. This corresponding fragment ion pair shows similarity of relative intensities as indicated in the figure. The fragment ion pair containing no phosphorylation also shows similarity of relative intensities without mass shift. The fragment ion annotations of phosphopeptides are validated based on the comparison with the corresponding fragment ion annotations of the dephosphorylated peptide, which should be more reliable. C, in the case of tyrosine phosphorylation, the fragment ion containing the phosphorylated tyrosine residue does not show the dominant neutral loss, but it does show the original fragment ion. Although caseins did not contain phosphorylated threonine/tyrosine, these phosphorylation sites were theoretically considered and then confirmed in the following C2C12 experiment. pT, phosphothreonine; pS, phosphoserine.
|
|
MS/MS using CID usually generates the dominant neutral loss of H3PO4 (–97.98 Da) from the labile phosphate group on the serine and threonine residues, resulting in dehydroalanine and 2-aminodehydrobutyric acid, respectively. In this study with the casein phosphopeptides, mainly the dominant neutral loss ions were annotated by the Mascot database search as the fragment ions originally phosphorylated at serine residues, and fragment ions still containing a phosphate group were also annotated. Consequently the fragment ions containing the phosphorylated serine residues mainly showed –18.01 Da and also a small amount of +79.97 Da in comparison with the corresponding fragment ions derived from the dephosphorylated peptide. The similarity of fragmentation patterns between the phosphopeptides and the corresponding dephosphorylated peptides was based on overall similarity of relative intensities of the corresponding fragment ion pairs (Fig. 5 and Supplemental Fig. 5). Furthermore identification of the dephosphorylated peptide should be much more reliable than that of the phosphopeptide because of less complicated MS/MS spectra and fewer candidates with high probability on the database search; therefore, fragment ion annotation of the dephosphorylated peptide should be much more reliable than that of the phosphopeptide, especially annotation of the fragment ions containing phosphorylation site candidates.
Detected fragment ions derived from the casein phosphopeptides were compared with the corresponding fragment ions derived from the dephosphorylated peptides with similar relative intensities (Fig. 5A). Using this strategy the identification of the phosphorylation sites were quickly validated without manual annotation or sequencing. However, if no fragment ion is detected between phosphorylation candidates, the identification cannot be validated.
Reference-facilitated Phosphoproteomics Analysis of Differentiating Mouse Myoblast C2C12 Cells—
To evaluate the use of the validation strategy with larger sample sizes, we performed phosphorylation analysis of crude cell extracts from differentiating mouse myoblast C2C12 cells (Fig. 2). A crude lysate extracted from 5 x 106 C2C12 cells was separated by SDS-PAGE (distributed over 10 bands), in-gel digested with trypsin, and then subjected to TiO2 chromatography phosphopeptide enrichment. Each half of the resulting eluates was treated with AP. Subsequently both the TiO2 and TiO2-AP samples were analyzed by data-dependent LC-MS/MS. Phosphorylation analysis of the TiO2 samples using Mascot yielded 297 phosphopeptide candidates. The results from this experiment are summarized in Fig. 6. Phosphopeptides of identical amino acid sequence but different phosphorylation location, single and multiple phosphorylation(s), were considered the same (=1) peptide. Fifty-eight of 68 methionine-containing peptides were oxidized, and three of the 68 were found in both oxidized and non-oxidized forms, indicating that
90% of the methionine-containing peptides (61 of 68) were identified in oxidized form. The Mascot search of the TiO2-AP samples resulted in 512 peptides with a high probability, of which no phosphopeptides were found; 135 dephosphorylated peptides corresponded to the phosphopeptides identified in the TiO2 samples from the same SDS-PAGE bands with the same oxidation states and charge states (above and Fig. 6), but three dephosphorylated peptides had different charge states. Only three of the 135 were also identified in the TiO2 samples as non-phosphorylated peptides, indicating the specificity of the TiO2.

View larger version (37K):
[in this window]
[in a new window]
|
FIG. 6. Reference-facilitated phosphoproteomics applied on differentiating C2C12 cells. The Mascot database search of the TiO2 samples of the differentiating C2C12 cells resulted in 297 phosphopeptides and also 199 non-phosphorylated peptides with high probability at expectation value <0.05, which roughly corresponded to a Mascot score >37 (NCBI nr database, M. musculus). Also the Mascot database search of the TiO2-AP samples resulted in 512 peptides with high probability; this did not include any phosphopeptide. The 512 peptides included 135 dephosphorylated peptides that corresponded to the 135 phosphopeptides identified in the TiO2 samples from the same SDS-PAGE bands with the same oxidation states and charge states. The 135 phosphopeptides were validated by comparison with the corresponding dephosphorylated peptides. Consequently 134 phosphopeptides, which contained 116 precise phosphorylation sites (108 serine, six threonine, and two tyrosine residues) and 22 ambiguous sites, were confirmed. Six of the 116 sites were not suggested as the first candidates by the Mascot database search. pT, phosphothreonine; pS, phosphoserine.
|
|
XICs of the 135 phosphopeptide and dephosphorylated peptide pairs from the TiO2 and TiO2-AP samples were compared (data not shown). To estimate retention time shifts, 88 of the non-phosphorylated peptides identified from both TiO2 and TiO2-AP were used as markers. The comparison of XICs of the 135 peptide pairs clearly showed the decrease of phosphopeptide ions and increase of dephosphorylated peptide ions. Although the three peptide pairs showed peaks of the non-phosphorylated peptides in XICs of the TiO2 samples, they were relatively small and remarkably increased by the AP treatment as the dephosphorylated peptides. Consequently phosphorylations on the 135 phosphopeptides identified by the Mascot search were confirmed by enzymatic dephosphorylation.
The MS/MS spectra of the phosphopeptides and the corresponding dephosphorylated peptides were compared (Fig. 7). The comparison of the fragmentation patterns provided 134 similar pairs (one was not similar (Fig. 7C)). Furthermore one of the 134 pairs, which were identified as singly and also doubly phosphorylated peptides, showed fragmentation pattern similarity between the singly phosphorylated peptide and the corresponding dephosphorylated peptide but not between the doubly phosphorylated peptide and the dephosphorylated peptide (data not shown). These phosphopeptides without the similarities were suggested as false positive identifications even with high Mascot scores for both the phosphopeptides (scores of 38 and 46) and the dephosphorylated peptides (scores of 81 and 73), respectively. The 134 phosphopeptides should contain 138 phosphorylation sites based on the Mascot database search and XIC comparisons. Subsequently fragment ions between the phosphopeptides and the dephosphorylated peptides were compared to validate their annotation. The resulting annotated fragment ions indicated 116 precise phosphorylation sites (Supplemental Table 2 and Supplemental Figs. 6–9). Note that six of these were not the first candidate provided by the Mascot database search (Fig. 7B). An additional 22 phosphorylation sites were still ambiguous in this analysis. Although manual validation of the MS/MS spectra could lower the number of ambiguous peptides, they have been left as "ambiguous." The 116 site-specific identifications consisted of 108 serine, six threonine, and two tyrosine phosphorylations. As stated above, all of the validated phosphopeptides and the corresponding dephosphorylated peptides showed the fragmentation pattern similarities even with a 10-fold difference of absolute intensities and for doubly phosphorylated peptides. Examples can be found in Supplemental Fig. 4, A–E.

View larger version (23K):
[in this window]
[in a new window]
|
FIG. 7. Validation of C2C12 phosphopeptide identifications. The centroided MS/MS spectra of the phosphopeptides derived from the differentiating C2C12 cells and the corresponding dephosphorylated peptides as the reference products were compared to validate phos-phopeptide sequence and precise phosphorylation site identifications. Three pairs of the MS/MS spectra are shown as examples. A, vimentin (gi|55408) phosphopeptide 51SLYSSpSPGGAYVTR64 was identified by the Mascot database search with high probability (score, 85.5). Mascot also suggested five other phosphorylation site candidates with high probabilities (score, 40.5–75.7) because this peptide contains sequential serine and tyrosine residues as the candidates. However, fragmentation patterns of the phosphopeptide and the corresponding dephosphorylated peptide were highly similar; therefore, fragment ion annotations of the phosphopeptide were validated based on the comparison with the corresponding fragment ion annotations of the dephosphorylated peptide (refer to Fig. 5). Consequently the precise phosphorylation site at Ser(P)56 was confirmed. B, restin (gi|23821025) phosphopeptide 190TApSESISNLSEAGSVK205 was identified by Mascot with high probability (score, 48.0). However, another site, Ser(P)194, was indicated by our validation strategy based on the MS/MS spectra comparison, which showed similar fragmentation patterns. Although the fragment ions between the two phosphorylation site candidates, b3, b3 – H2O, and b4 – H2O ions, were able to distinguish the candidates, Mascot had annotation errors as none, b3 – H3PO4, and b4 – H3PO4, respectively, because loss of H3PO4 from phosphorylated serine and loss of H2O are identical (–18.01 Da). On MS/MS analysis using ESI-Q-TOF MS, small b ions often showed the dominant loss of H2O, which could mimic neutral loss of H3PO4 as shown here and could cause the identification errors. C, although the MS/MS spectrum was very poor quality, HECT, UBA, and WWE domain-containing 1 (gi|61676190) phosphopeptide 1902GSGTApSDDEFENLR1915 was identified by the Mascot database search with high probability (score, 46.4). However, comparison of the MS/MS spectra did not show a similar fragmentation pattern, suggesting that the phosphopeptide identification could be a false positive. pS, phosphoserine.
|
|
 |
DISCUSSION
|
|---|
We developed a reliable TiO2 chromatography method that shows high specificity for "single phosphoproteins" (
- and ß-caseins) and highly complex mixtures. To investigate efficacy of the TiO2 chromatography against a complex mixture we evaluated the integrated procedure, starting with SDS-PAGE followed by in-gel digestion, TiO2 chromatography, and LC-MS/MS, using an extremely crude extract of differentiating myoblast C2C12 cells. The result was that 297 phosphopeptides were found using the Mascot search program. Because one of our interests is in the biological role of intermediate filaments (IFs), such as vimentin (Fig. 7A) and nestin (Supplemental Fig. 4A), both relatively insoluble proteins, we used the most powerful protein extraction method, direct extraction with SDS-PAGE sample buffer from the cell culture dish, to obtain all IF proteins. Phosphopeptide selectivity of the optimized TiO2 chromatography was still effective against the extremely crude cell extract. As expected the TiO2 chromatography provided a markedly selective and sensitive phosphopeptide enrichment prior to MS analysis.
We observed oxidation of methionine in our samples. Methionine residues of peptides are readily oxidized during sample preparation, and both oxidized methionine and non-oxidized methionine are quite often detected in proteomics analysis. As stated above, almost all methionine was oxidized after the TiO2 treatment in this study. This methionine oxidization might be caused by the photocatalytic oxidation effect of TiO2 (35, 36). In the optimized TiO2 chromatography, we evaporated the eluate just after the elution; therefore if a small amount of TiO2 leaked or eluted from the microcolumn might be concentrated, consequently the oxidization effect of TiO2 might be enhanced during the evaporation. Actually C18 treatment of the TiO2 eluate just after the elution did not induce methionine oxidization (Supplemental Fig. 1). Because sample complexity should be reduced, fortunately this oxidization effect should increase the number of peptide identifications, and also pairs of phosphopeptide and the corresponding dephosphorylated peptide with the same oxidization state were mainly available for the MS/MS spectra comparison.
The strategy we have developed uses enrichment of phosphopeptides by TiO2 chromatography and subdivision into two portions. One portion is directly analyzed by LC-MS/MS on an ESI-Q-TOF mass spectrometer, and the other portion is analyzed after enzymatic dephosphorylation using a phosphatase. The phosphatase treatment has been used to confirm phosphopeptides (37, 38); however, its main use has been limited to the relatively simple MALDI-MS analysis (7, 29, 31, 39, 40) with the exception of LC-MS/MS analysis of dephosphorylated peptides to estimate possible phosphopeptides (5, 41). In our strategy elimination of phosphopeptide and the appearance of corresponding dephosphorylated peptides after the AP treatment renders phosphorylation on the identified peptides plausible. However, site specificity of a phosphorylation event is not attained by this evidence alone. We have found that comparison of the MS/MS spectra of the phosphopeptides and the corresponding dephosphorylated peptides provided the informative, useful, and unique information to validate the identifications of the peptide sequences and their phosphorylation sites. A mass spectrum has two axes, m/z and intensity; however, only m/z value is generally available for peptide identification using the database search. With the efficient linear acceleration of ions from the QSTAR collision cell, we found that intensity value (relative intensity) can also be used to discriminate small differences between phosphopeptide fragmentation spectra. Consequently the phosphopeptide validation method developed in this study, based on the combination of enzymatic dephosphorylation and µLC-ESI-Q-TOF MS/MS, will immensely decrease false positive data from large scale phosphoproteomics study. The procedure is summarized as follows.
- Enrichment of phosphopeptides by TiO2 chromatography.
- Dephosphorylation of half the sample.
- Identification of phosphopeptides and corresponding dephosphorylated peptides by MS/MS (ESI-Q-TOF).
- Comparison of extracted precursor ion chromatograms before and after dephosphorylation to confirm phosphorylation (Fig. 4).
- Comparison of MS/MS spectra before and after dephosphorylation to validate phosphopeptide and determine site specificity of phosphorylation (Fig. 5).
One of the most prominent phosphoproteins identified in this study was IF protein nestin (Supplemental Fig. 4A and Supplemental Table 2). IFs are cytoskeletal polymers that maintain the structural and mechanical integrity of cells and tissues (42). IFs are composed of a wide family of over 65 different proteins that vary considerably with respect to their sequences, expression patterns, and abundance in different tissues (42). Nestin is specifically expressed during the early stages of development in the central nervous system (43) and in myogenic tissue (44, 45). Upon differentiation nestin is down-regulated and replaced by other tissue-specific IF proteins such as desmin, which is the characteristic IF protein of fully differentiating muscle (46). Despite the fact that IFs have a crucial role in maintaining the cellular architecture they are by no means static structures but rather highly dynamic cellular constructions that undergo rearrangements during cell division, migration, stress, and differentiation. Structural alterations are a result of phosphorylation, which is the key regulator of IF polymerization, subcellular distribution, and dynamics (47). Our group has previously described that nestin is phosphorylated by Cyclin-dependent kinase 5 (Cdk5) upon myogenic differentiation (48). Cdk5 is a multifunctional kinase that, regardless of its name, is not regulating cell cycle but is a crucial modulator of development and differentiation of neuronal (49, 50) and muscle tissue (51). The fusion of undifferentiating myoblasts to long, multinucleated myotubes is associated with massive reorganization of nestin filaments. We have provided indications that Cdk5-mediated phosphorylation of nestin might be one of the underlying causes of this rearrangement process (48). Cdk5 has been demonstrated to specifically target serines and threonines in a proline-directed manner (49). However, so far we have not been able to determine whether each SP sequence identified in this analysis is a target site for Cdk5 or is contributing to nestin reorganization. In fact, recent work with IFs has emphasized the role of IFs as a scaffold for various signaling molecules and, thereby, organizer of signal transduction pathways (42, 52). Phosphorylation has been shown to be involved in regulating the interactions between IFs and various IF-associated molecules (47) indicating that myogenesis-associated nestin phosphorylation might also be generated to accomplish specific protein-protein interactions.
In this study, we used only MS/MS spectra produced by an ESI-Q-TOF tandem-in-space mass spectrometer with CID for the comparison between phosphopeptides and corresponding dephosphorylated peptides. Other tandem-in-space mass spectrometers with a similar CID efficiency, such as triple quadrupole and hybrid Q-linear ion trap mass spectrometers, could be available for this purpose. In the case of ion trap tandem-in-time mass spectrometers with CID, MS/MS spectra of tyrosine phosphopeptide and the dephosphorylated peptide could show similarity of fragmentation patterns; however, labile serine/threonine phosphorylation generally provides a dominant neutral loss of H3PO4 from the precursor ion and less sequence-specific fragment ions, therefore this MS/MS spectrum should be different from the MS/MS spectrum of dephosphorylated peptide. Similarity might be found from comparison between the MS/MS/MS spectrum of serine/threonine phosphopeptide after the neutral loss of H3PO4 and MS/MS spectrum of the dephosphorylated peptide; however, the MS/MS/MS spectrum should show much less ion intensity. MS/MS spectra produced by ion trap mass spectrometers with electron transfer dissociation or FT-ICR-MS with electron capture dissociation also might show the similarity. We will investigate applicabilities of the reference-facilitated phosphoproteomics on these different types of mass spectrometers.
Accurate mass analysis (<5 ppm for precursor ions) with the latest mass spectrometers will improve the reliability of phosphopeptide identifications but not exclude false identifications. Other developments for phosphopeptide identification including phosphorylation site determination by way of statistical analysis (53) will also provide useful information, but as a stand alone technology falls short of providing dynamic information. The concept of the reference-facilitated phosphoproteomics is comparison of XICs and MS/MS spectra between phosphopeptide and the corresponding dephosphorylated peptide. Disadvantages of our method are the loss of half of the phosphopeptide samples to make the dephosphorylated peptides as references, twice the analysis time, and incomplete coverage of phosphopeptide identification with dephosphorylated peptide identification. However, the use of the corresponding dephosphorylated peptide as the reference product has distinct advantages over existing approaches: the evidence of phosphorylation based on the enzymatic dephosphorylation, the confirmation of phosphopeptide sequence identification based on the fragmentation pattern similarity with more reliably identified dephosphorylated peptide, and the validation of the fragment ion annotation, especially uncertain fragment ions, based on the mass shift and similar relative intensity. Perhaps the most important advantage is that phosphopeptide identification is not fully dependent on a single MS/MS spectrum and associated probability score. With the methods proposed here two peptides represent the same sequence. Other possible validation methods include 32P labeling (54, 55) with amino acid mutations or comparison with synthetic phosphopeptides (or the usual manual validation of MS/MS spectra) (Fig. 1), but validation of a large data set is still time-consuming. Our concept and strategy is simple and will soon be applicable to automated analysis, enabling easier validation and reducing the overall analysis time and ambiguous phosphorylation site information. We are currently in the process of writing a software tool that will be made available as open source and be platform-independent.
 |
ACKNOWLEDGMENTS
|
|---|
We thank Andrey Mikhailov, Robert Moulder, and Eeva-Marja Rainio for valuable comments and the CBT VTT Proteomics Facility at the Turku Centre for Biotechnology for instrument support.
 |
FOOTNOTES |
|---|
Received, December 22, 2006
Published, MCP Papers in Press, May 17, 2007, DOI 10.1074/mcp.M600480-MCP200
1 The abbreviations used are: TiO2, titanium dioxide; AP, alkaline phosphatase; CE, collision energy; DHB, 2,5-dihydroxybenzoic acid; IF, intermediate filament; XIC, extracted ion chromatogram; Cdk5, Cyclin-dependent kinase 5. 
* This work was supported by the Academy of Finland, the Sigrid Jusélius Foundation, the Cancer Research Foundations, and the Center of Excellence fund from the Åbo Akademi Foundation. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. 
S The on-line version of this article (available at http://www.mcponline.org) contains supplemental material. 
|| To whom correspondence should be addressed: Turku Centre for Biotechnology, P. O. Box 123, FIN-20521 Turku, Finland. Tel.: 358-2-333-8036; Fax: 358-2-333-8000; E-mail: john.eriksson{at}btk.fi
 |
REFERENCES
|
|---|
- Eriksson, J. E., Opal, P., and Goldman, R. D.
(1992) Intermediate filament dynamics.
Curr. Opin. Cell Biol.
4, 99
–104[CrossRef][Medline]
- Hunter, T.
(2000) Signaling—2000 and beyond.
Cell
100, 113
–127[CrossRef][Medline]
- Holmberg, C. I., Tran, S. E. F., Eriksson, J. E., and Sistonen, L.
(2002) Multisite phosphorylation provides sophisticated regulation of transcription factors.
Trends Biochem. Sci.
27, 619
–627[CrossRef][Medline]
- Tran, S. E. F., Meinander, A., and Eriksson, J. E.
(2004) Instant decisions: transcription-independent control of death-receptor-mediated apoptosis.
Trends Biochem. Sci.
29, 601
–608[CrossRef][Medline]
- Ficarro, S. B., McCleland, M. L., Stukenberg, P. T., Burke, D. J., Ross, M. M., Shabanowitz, J., Hunt, D. F., and White, F. M.
(2002) Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae.
Nat. Biotechnol.
20, 301
–305[CrossRef][Medline]
- Mann, M., and Jensen, O. N.
(2003) Proteomic analysis of post-translational modifications.
Nat. Biotechnol.
21, 255
–261[CrossRef][Medline]
- Nühse, T. S., Stensballe, A., Jensen, O. N., and Peck, S. C.
(2003) Large-scale analysis of in vivo phosphorylated membrane proteins by immobilized metal ion affinity chromatography and mass spectrometry.
Mol. Cell. Proteomics
2, 1234
–1243[Abstract/Free Full Text]
- Jensen, O. N.
(2004) Modification-specific proteomics: characterization of post-translational modifications by mass spectrometry.
Curr. Opin. Chem. Biol.
8, 33
–41[CrossRef][Medline]
- Beausoleil, S. A., Jedrychowski, M., Schwartz, D., Elias, J. E., Villén, J., Li, J., Cohn, M. A., Cantley, L. C., and Gygi, S. P.
(2004) Large-scale characterization of HeLa cell nuclear phosphoproteins.
Proc. Natl. Acad. Sci. U. S. A.
101, 12130
–12135[Abstract/Free Full Text]
- Ballif, B. A., Villén, J., Beausoleil, S. A., Schwartz, D., and Gygi, S. P.
(2004) Phosphoproteomic analysis of the developing mouse brain.
Mol. Cell. Proteomics
3, 1093
–1101[Abstract/Free Full Text]
- Kim, J.-E., Tannenbaum, S. R., and White, F. M.
(2005) Global phosphoproteome of HT-29 human colon adenocarcinoma cells.
J. Proteome Res.
4, 1339
–1346[CrossRef][Medline]
- Rush, J., Moritz, A., Lee, K. A., Guo, A., Goss, V. L., Spek, E. J., Zhang, H., Zha, X.-M., Polakiewicz, R. D., and Comb, M. J.
(2005) Immunoaffinity profiling of tyrosine phosphorylation in cancer cells.
Nat. Biotechnol.
23, 94
–101[CrossRef][Medline]
- Collins, M. O., Yu, L., Coba, M. P., Husi, H., Campuzano, I., Blackstock, W. P., Choudhary, J. S., and Grant, S. G. N.
(2005) Proteomic analysis of in vivo phosphorylated synaptic proteins.
J. Biol. Chem.
280, 5972
–5982[Abstract/Free Full Text]
- Trinidad, J. C., Thalhammer, A., Specht, C. G., Schoepfer, R., and Burlingame, A. L.
(2005) Phosphorylation state of postsynaptic density proteins.
J. Neurochem.
92, 1306
–1316[CrossRef][Medline]
- Gruhler, A., Olsen, J. V., Mohammed, S., Mortensen, P., Fjrgeman, N. J., Mann, M., and Jensen, O. N.
(2005) Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway.
Mol. Cell. Proteomics
4, 310
–327[Abstract/Free Full Text]
- Corthals, G. L., Aebersold, R., and Goodlett, D. R.
(2005) Identification of phosphorylation sites using microimmobilized metal affinity chromatography, in
Methods in Enzymology (Burlingame, A. L., ed) pp.66
–81, Elsevier, Amsterdam
- Loyet, K. M., Stults, J. T., and Arnott, D. (2005
) Mass spectrometric contributions to the practice of phosphorylation site mapping through 2003: a literature review.
Mol. Cell. Proteomics
4, 235
–245[Abstract/Free Full Text]
- Olsen, J. V., Blagoev, B., Gnad, F., Macek, B., Kumar, C., Mortensen, P., and Mann, M.
(2006) Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.
Cell
127, 635
–648[CrossRef][Medline]
- Oda, Y., Nagasu, T., and Chait, B. T.
(2001) Enrichment analysis of phosphorylated proteins as a tool for probing the phosphoproteome.
Nat. Biotechnol.
19, 379
–382[CrossRef][Medline]
- Larsen, M. R., Thingholm, T. E., Jensen, O. N., Roepstorff, P., and Jørgensen, T. J. D.
(2005) Highly selective enrichment of phosphorylated peptides from peptide mixtures using titanium dioxide microcolumns.
Mol. Cell. Proteomics
4, 873
–886[Abstract/Free Full Text]
- Kokubu, M., Ishihama, Y., Sato, T., Nagasu, T., and Oda, Y.
(2005) Specificity of immobilized metal affinity-based IMAC/C18 tip enrichment of phosphopeptides for protein phosphorylation analysis.
Anal. Chem.
77, 5144
–5154[Medline]
- Orchard, S., Hermjakob, H., and Apweiler, R.
(2005) Annotating the human proteome.
Mol. Cell. Proteomics
4, 435
–440[Abstract/Free Full Text]
- Wilkins, M. R., Appel, R. D., Van Eyk, J. E., Chung, M. C. M., Görg, A., Hecker, M., Huber, L. A., Langen, H., Link, A. J., Paik, Y.-K., Patterson, S. D., Pennington, S. R., Rabilloud, T., Simpson, R. J., Weiss, W., and Dunn, M. J.
(2006) Guidelines for the next 10 years of proteomics.
Proteomics
6, 4
–8[CrossRef][Medline]
- Imanishi, S. Y., Kochin, V., and Eriksson, J. E.
(2007) Optimization of phosphopeptide elution conditions in immobilized Fe(III) affinity chromatography.
Proteomics
7, 174
–176[CrossRef][Medline]
- Sano, A., and Nakamura, H.
(2004) Titania as a chemo-affinity support for the column-switching HPLC analysis of phosphopeptides: application to the characterization of phosphorylation sites in proteins by combination with protease digestion and electrospray ionization mass spectrometry.
Anal. Sci.
20, 861
–864[CrossRef][Medline]
- Sano, A., and Nakamura, H.
(2004) Chemo-affinity of titania for the column-switching HPLC analysis of phosphopeptides.
Anal. Sci.
20, 565
–566[CrossRef][Medline]
- Pinkse, M. W. H., Uitto, P. M., Hilhorst, M. J., Ooms, B., and Heck, A. J. R.
(2004) Selective isolation at the femtomole level of phosphopeptides from proteolytic digests using 2D-NanoLC-ESI-MS/MS and titanium oxide precolumns.
Anal. Chem.
76, 3935
–3943[Medline]
- Rappsilber, J., Ishihama, Y., and Mann, M.
(2003) Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics.
Anal. Chem.
75, 663
–670[Medline]
- Stensballe, A., Andersen, S., and Jensen, O. N.
(2001) Characterization of phosphoproteins from electrophoretic gels by nanoscale Fe(III) affinity chromatography with off-line mass spectrometry analysis.
Proteomics
1, 207
–222[CrossRef][Medline]
- Kjellström, S., and Jensen, O. N.
(2004) Phosphoric acid as a matrix additive for MALDI MS analysis of phosphopeptides and phosphoproteins.
Anal. Chem.
76, 5109
–5117[Medline]
- Stensballe, A., and Jensen, O. N.
(2004) Phosphoric acid enhances the performance of Fe(III) affinity chromatography and matrix-assisted laser desorption/ionization tandem mass spectrometry for recovery, detection and sequencing of phosphopeptides.
Rapid Commun. Mass Spectrom.
18, 1721
–1730[CrossRef][Medline]
- Imanishi, S., Pallari, H.-M., Kochin, V., and Eriksson, J. E.
(2006) Optimization of IMAC and TiO2 chromatography for phosphoproteomics, in
54th ASMS Conference on Mass Spectrometry, Seattle, May 28–June 1, 2006, Abstract TP468, American Society for Mass Spectrometry (ASMS), Santa Fe, NM
- Kawakami, T., Tateishi, K., Yamano, Y., Ishikawa, T., Kuroki, K., and Nishimura, T. (2005
) Protein identification from product ion spectra of peptides validated by correlation between measured and predicted elution times in liquid chromatography/mass spectrometry.
Proteomics
5, 856
–864[CrossRef][Medline]
- Steen, H., Jebanathirajah, J. A., Rush, J., Morrice, N., and Kirschner, M. W.
(2006) Phosphorylation analysis by mass spectrometry: myths, facts, and the consequences for qualitative and quantitative measurements.
Mol. Cell. Proteomics
5, 172
–181[Abstract/Free Full Text]
- Churg, A., Zay, K., and Li, K.
(1997) Mechanisms of mineral dust-induced emphysema.
Environ. Health Perspect.
105, Suppl. 5, 1215
–1218
- Fujishima, A., Rao, T. N., and Tryk, D. A.
(2000) Titanium dioxide photocatalysis.
J. Photochem. Photobiol. C Photochem. Rev.
1, 1
–21[CrossRef]
- Ahmad, Z., and Huang, K.-P.
(1981) Dephosphorylation of rabbit skeletal muscle glycogen synthase (phosphorylated by cyclic AMP-independent synthase kinase 1) by phosphatases.
J. Biol. Chem.
256, 757
–760[Abstract/Free Full Text]
- Yip, T.-T., and Hutchens, T. W.
(1992) Mapping and sequence-specific identification of phosphopeptides in unfractionated protein digest mixtures by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.
FEBS Lett.
308, 149
–153[CrossRef][Medline]
- Larsen, M. R., Sørensen, G. L., Fey, S. J., Larsen, P. M., and Roepstorff, P.
(2001) Phospho-proteomics: evaluation of the use of enzymatic de-phosphorylation and differential mass spectrometric peptide mass mapping for site specific phosphorylation assignment in proteins separated by gel electrophoresis.
Proteomics
1, 223
–238[CrossRef][Medline]
- Torres, M. P., Thapar, R., Marzluff, W. F., and Borchers, C. H.
(2005) Phosphatase-directed phosphorylation-site determination: a synthesis of methods for the detection and identification of phosphopeptides.
J. Proteome Res.
4, 1628
–1635[CrossRef][Medline]
- Gevaert, K., Staes, A., Van Damme, J., De Groot, S., Hugelier, K., Demol, H., Martens, L., Goethals, M., and Vandekerckhove, J.
(2005) Global phosphoproteome analysis on human HepG2 hepatocytes using reversed-phase diagonal LC.
Proteomics
5, 3589
–3599[CrossRef][Medline]
- Coulombe, P. A., and Wong, P.
(2004) Cytoplasmic intermediate filaments revealed as dynamic and multipurpose scaffolds.
Nat. Cell Biol.
6, 699
–706[CrossRef][Medline]
- Lendahl, U., Zimmerman, L. B., and McKay, R. D. G.
(1990) CNS stem cells express a new class of intermediate filament protein.
Cell
60, 585
–595[CrossRef][Medline]
- Sejersen, T., and Lendahl, U.
(1993) Transient expression of the intermediate filament nestin during skeletal muscle development.
J. Cell Sci.
106, 1291
–1300[Abstract]
- Kachinsky, A. M., Dominov, J. A., and Miller, J. B.
(1995) Intermediate filaments in cardiac myogenesis: nestin in the developing mouse heart.
J. Histochem. Cytochem.
43, 843
–847[Abstract]
- Paulin, D., and Li, Z.
(2004) Desmin: a major intermediate filament protein essential for the structural integrity and function of muscle.
Exp. Cell Res.
301, 1
–7[CrossRef][Medline]
- Omary, M. B., Ku, N.-O., Tao, G.-Z., Toivola, D. M., and Liao, J.
(2006) "Heads and tails" of intermediate filament phosphorylation: multiple sites and functional insights.
Trends Biochem. Sci.
31, 383
–394