e u p a o p e n p r o t e o m i c s 4 ( 2 0 1 4 ) 165–170 Available online at www.sciencedirect.com ScienceDirect journal homepage: http://www.elsevier.com/locate/euprot The potential of fractional diagonal chromatography strategies for the enrichment of post-translational modifications A. Saskia Venne, René P. Zahedi ∗ Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Dortmund, Germany a r t i c l e i n f o a b s t r a c t Article history: More than 450 post-translational modifications (PTMs) are known, however, currently only Available online 24 July 2014 some of those can be enriched and analyzed from complex samples such as cell lysates. Therefore, we need additional methods and concepts to improve our understanding about Keywords: the dynamic crosstalk of PTMs and the highly context-dependent regulation of protein func- PTM tion by so-called ‘PTM codes’. The mere focus on affinity-based enrichment techniques may Enrichment not be sufficient to achieve this ambitious goal. However, the complementary use of two- Signaling dimensional chromatography-based strategies such as COFRADIC and ChaFRADIC might PTM crosstalk open new avenues for enriching a variety of so far inaccessible PTMs for large-scale proteome studies. © 2014 The Authors. Published by Elsevier B.V. on behalf of European Proteomics Association (EuPA). This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). 1. The relevance of post-translational modifications Organisms have to adapt continuously their physiological processes in order to maintain homeostasis under a large range of environmental changes. Compared to gene expression and protein translation, post-translational modifications (PTMs) and protein degradation enable a faster regulation of cellular processes. Thus, PTMs allow the precise and dynamic response to internal and external stimuli, modulating for instance the subcellular localization, activity, stability and interaction of proteins. Consequently, understanding this sensitive and complex system is essential for cell biology, disease prevention and development of therapeutic approaches [1,2]. Currently, over 450 PTMs [3,4] are listed in the UniProt database including the most prominent members such as phosphorylation, glycosylation, ubiquitination and acetylation. The number of experimentally observed PTMs literally exploded in the past 10 years [5,6] mainly owing to the recent improvements in mass spectrometry (MS) and the availability of more sensitive and faster mass analyzers. However, often more than 50% of MS/MS spectra acquired in an LC–MS/MS run cannot be identified by database searches. Such unmatched spectra can arise from e.g. (a) contaminations Abbreviations: COFRADIC, combined fractional diagonal chromatography; ChaFRADIC, charge-based fractional diagonal chromatography; HPLC, high performance liquid chromatography; MOAC, metal oxide affinity chromatography; LC, liquid chromatography; MS, mass spectrometry; PTM, post-translational modification; SCX, strong cation exchange chromatography; TAILS, terminal amine isotopic labeling of substrates. ∗ Corresponding author at: Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany. Tel.: +49 0231 1392 4143. E-mail address: [email protected] (R.P. Zahedi). http://dx.doi.org/10.1016/j.euprot.2014.07.001 2212-9685/© 2014 The Authors. Published by Elsevier B.V. on behalf of European Proteomics Association (EuPA). This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/). 166 e u p a o p e n p r o t e o m i c s 4 ( 2 0 1 4 ) 165–170 such as polymers or other biomolecules, (b) co-isolation of peptides (and such contaminations) so that MS/MS spectra represent fragment ions derived from a mixture of precursor ions, (c) point mutations or (d) sequences that are incorrectly annotated in databases, (e) degradation products, (f) enzymatic mis-cleavages and in-source decay [7,8], and (g) unknown or unanticipated PTMs (and their combinations, respectively). The possible extent of protein modification is well represented by histones, which are also among the bestcharacterized proteins. All core histones can be modified by up to eight different PTMs (acetylation, phosphorylation, mono-, di- and tri-methylation, butyrylation, crotonylation and propionylation) at the same time, while the individual sites can be modified by different PTMs with occupancies varying between <1% and 100% [9,10]. In histones these PTMs can act in concert so that the highly context-dependent and combinatorial pattern of different modifications referred to as ‘PTM code’, modulates and defines the final cellular output [11]. A similarly high degree of modification was shown for the tumor suppressor p53, with 10 different PTMs that act in concert and thus can induce different cellular responses. For both examples, different PTM codes could be mapped to specific molecular functions [11], however, this required a large number of elaborate experiments and studies. Nowadays, large-scale characterization of PTMs is performed routinely [12–17] and improved methods enable PTM localization and quantification with high confidence [18–22]. Nevertheless, this vibrant research field is still emerging and accompanied by incomplete assignment of identified PTM sites to specific cellular functions [23]. Although extensive databases about PTMs exist, complete ‘PTM catalogs’ [23] summarizing all possible modifications (or sites) for protein entries are still far from reality. Such catalogs will represent valuable resources for both functional/structural studies and modeling. This holds true for extensively analyzed PTMs such as phosphorylation or glycosylation, but even more for the huge proportion of so far known but largely uncharacterized PTMs [6]. Because many PTMs have a low stoichiometry and thus are almost inaccessible for the global proteome analysis of complex samples such as cell lysates, their detection requires specific enrichment prior to analysis. For some PTMs antibodyor affinity-based enrichment is routinely used, but most PTMs remain hidden from large-scale MS-based detection owing to the lack of dedicated enrichment methods. Hence, there is a strong need for alternative and versatile strategies for PTM enrichment that provide high sensitivity and flexibility, to allow for a more comprehensive analysis of PTMs and PTM codes in the future. 2. Strategies for MS-based analysis of PTMs In general there are three strategies to analyze proteins via MS: (i) top-down, (ii) middle-down and (iii) bottom-up (see Fig. 1). In top-down proteomics intact proteins are analyzed, potentially revealing complete protein PTM patterns such that the information about the number, type and the localization of PTMs is retained [24]. One substantial advantage is the capability to determine the relative abundance of different proteoforms and therefore their relative proportion in the Fig. 1 – Strategies for MS-based analysis of PTMs. (i) In top-down experiments intact and purified proteins are analyzed. As prior digestion is not required, the comprehensive identification and mapping of PTMs is possible. (ii) Middle-down approaches produce relatively long peptide-stretches that can potentially contain multiple PTMs. Like in bottom-up experiments the modified peptides can be enriched to obtain specific sub-proteomes (e.g. phosphoproteome, acetylome, N-terminome). (iii) In bottom-up strategies shorter peptides are generated. This is usually accompanied by a loss of information about complex PTM patterns of different proteoforms. sample. Relative site occupancies can be calculated for different PTMs to determine stoichiometries [24]. Furthermore, top-down allows characterizing structural changes induced upon PTM of proteins [25]. However, certain limitations still impede the dissemination of top-down as routinely used method for high-throughput PTM analysis [26]. So far efficient fragmentation is mainly achieved for small proteins (<30 kDa) and the need for elaborate pre-fractionation involves high amounts of starting material [26–28], while PTM enrichment is much more challenging on the protein compared to the peptide level. In contrast, bottom-up strategies mostly generate shorter peptides [8,29] (6–30 amino acids [8,29]), which, compared to proteins, are less heterogeneous and thus can be separated and detected more efficiently. This allows detection down to the amol range, even for complex samples. The physicochemical properties of peptides can be exploited effectively to enrich for certain PTMs that can be mapped with high localization probabilities [30,31]. However, the improved enrichment and detection capabilities of bottom-up approaches are accompanied by an inherent loss of qualitative and quantitative information, considerably impeding the differentiation of proteoforms, PTM stoichiometry and consequently also PTM crosstalk [32]. Despite those inherent limitations, peptidecentric bottom-up proteomics is still the method-of-choice to screen for PTMs and their dynamics, providing important information about PTM localization and changes between different cellular states or time points. More recently, a promising alternative, so-called middledown, was established. Here, proteases that generate peptides in the range of 3–9 kDa are used, allowing the identification of e u p a o p e n p r o t e o m i c s 4 ( 2 0 1 4 ) 165–170 167 Fig. 2 – Separation principle of two-dimensional re-chromatography strategies. All strategies follow the same three steps to enrich the PTM of interest: (1) initial separation of a complex sample, (2a + b) changing the chromatographic behavior of a certain subclass of peptides and (3) re-chromatography – in (A) and (B) under the same conditions – to enrich for specific PTM-peptides. During positive selection (A) the PTM-peptide of interest is specifically derivatized to induce a retention time shift in the following second dimension. Vice versa, in negative selection (B) all other peptides are derivatized in order to induce a retention time shift. (C) Changing the conditions between first and second dimension chromatography, as depicted here for the pH can also lead to an altered elution profile as demonstrated by Hennrich et al. [47]. larger peptide-stretches that potentially reveal more complex PTM patterns. This approach basically combines the strengths of top-down and bottom-up, however without completely eliminating their weaknesses. Thus, PTM peptide enrichment techniques can be applied and the context of contiguous PTMs may be recovered, potentially providing more information about global PTM stoichiometry [6,26]. 3. The need for enrichment Regardless of which approach is pursued, the low abundance of PTMs renders a dedicated enrichment essential to lower sample complexity, to enhance the dynamic range for detection and thereby the specificity of analysis [24,33]. Especially for top-down strategies, enrichment is rather restricted to reducing sample complexity by fractionation and purification of the proteins of interest, respectively [24,28,34–37]. In contrast, bottom-up experiments allow a more straightforward separation of the small proportion of PTM-peptides from the immense excess of unmodified peptides. The applied strategies mostly utilize certain structural or chemical characteristics of the respective PTM to achieve a dedicated enrichment. The general bottleneck here is the ultimate goal to address as many PTMs as possible, and not only the most abundant ones. For the latter, efficient methods are established, but even these are often restricted to subclasses of the specific PTM-proteome, due to inherent preferences and limitations either of the method, or the preceding sample preparation steps. Even widely-established methods such as metal oxide affinity chromatography (MOAC), used for enriching phospho- and glycopeptides, show preferences for specific subclasses, that may be altered based on the applied protocol. For other PTMs such as ubiquitination, lysine acetylation, acylation and methylation, specific enrichment is achieved using immunoaffinity-based strategies, whereas e.g. 168 e u p a o p e n p r o t e o m i c s 4 ( 2 0 1 4 ) 165–170 the enrichment of SUMOylated species was achieved using a genetically introduced affinity tag [38]. Unfortunately, those approaches are often expensive and time-consuming, as e.g. immunoaffinity enrichment requires either purchase or generation of specific antibodies. These, however, often show low specificity and demand huge amounts of starting material (often 10 mg and more), which does not comply with the analysis of clinical samples or primary tissues. For instance, most large-scale ubiquitin studies used proteasome inhibitors to increase the endogenous levels of ubiquitination and thus the number of identified sites [39]. In order to improve our presently limited knowledge about PTMs in cells, important steps will be (i) to further improve already established strategies, as has been successfully demonstrated e.g. for TiO2 [18,40–43] and (ii) to develop novel strategies for enrichment and separation of so far inaccessible or rather uncharacterized PTMs. We think that exploiting techniques that involve a dedicated chemical derivatization of peptides in combination with specific enrichment/depletion of certain peptide classes holds a strong potential to fill the current gap of knowledge. Twodimensional re-chromatography strategies such as ‘combined fractional diagonal chromatography’ (COFRADIC) [44,45], and our recently introduced derivative ‘charge-based fractional diagonal chromatography’ (ChaFRADIC) [46] are highly flexible and offer a variety of alternative applications for the enrichment of PTMs. The general concept is to (i) separate and fractionate a complex peptide sample under robust chromatographic conditions, (ii) to employ a dedicated chemical or enzymatic derivatization step to alter the chromatographic behavior of a certain peptide class, and (iii) to separate the derivatized fractions again under the same conditions. As illustrated in Fig. 2, peptides of interest retain their previous retention time window, whereas others shift considerably out of that window – or vice versa. 4. Fractional diagonal chromatography approaches The original COFRADIC concept was published in 2002 by Gevaert et al. [44]. Here, in the primary LC run a complete cell lysate was separated via reversed phase chromatography, fractions were collected every minute and methionine-containing peptides were oxidized using H2 O2 . Afterwards, all fractions were re-injected and separated under the same conditions. Thus, due to the oxidation, methionine-containing peptides shifted to earlier retention times, whereas unmodified peptides retained their retention times. The same group later demonstrated further applications of COFRADIC for enrichment of N-terminal peptides, cysteine-containing peptides [48,49], phosphopeptides [50], glycopeptides [51] and nitrosylated peptides [52]. The ChaFRADIC approach utilizes an optimized strong cation exchange chromatography (SCX)based separation of peptides, based on their charge states at pH 2.7, which is mainly defined by the N-terminal amine group and Lys, Arg and His side chains. We demonstrated the proof-of-principle by enriching N-terminal peptides from Saccharomyces cerevisiae using only 50 g protein per condition. After only 10 h of LC–MS/MS measuring time we could identify 1459 non-redundant N-terminal peptides whereby only 40% of the obtained fractions were measured. Before, Henrich et al. used a pH shift between two SCX runs to selectively alter the elution profile of phosphopeptides [47] (Fig. 2). Many PTMs bear charged or ionizable groups (e.g. GPI anchors, arginylation, phosphorylation, sulfation, ubiquitination, SUMOylation, certain types of glycosylation) that may be used to add/remove charges by means of chemical/enzymatic derivatization or by shifting the pH, in order to induce a change in their chromatographic behavior. SCXbased strategies such as ChaFRADIC or the approach by Henrich et al. therefore offer a new set of possibilities for dedicated enrichment of so far inaccesible PTMs, and, based on the different separation principle, are complementary to COFRADIC. In ChaFRADIC less fractions have to be collected (usually only fractions containing net charges +1, +2, +3, +4 and higher), converging high sensitivity, robustness and throughput. Once the reproducible and robust charge-based HPLC separation is established, the same system can be further adapted to target other PTM classes, supposing a specific derivatization step leading to a defined change of net charge can be applied. 5. COFRADIC and ChaFRADIC as versatile tools for future PTM-research The general concept renders COFRADIC and ChaFRADIC multifunctional, highly flexible and well adjustable for the specific context of the user. Moreover, as mentioned earlier, both methods can be used for positive or negative selection of peptide classes. Although establishing and maintaining this technology is more challenging than other methods such as MOAC and furthermore may require the use of dedicated HPLC system, the general strategy of using two-dimensional rechromatography setups offers unrivaled possibilities to enrich for different classes of PTMs. It can be adapted to other chromatography modes, further expanding the set of possible applications. Notably, for some applications transferring the system from HPLCs to cartridges or tips may suffice, thus considerably facilitating the procedure and reducing the accompanied costs. Transparency document The Transparency document associated with this article can be found in the online version. Acknowledgements The financial support by the Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen is gratefully acknowledged. We furthermore would like to thank Laxmikanth Kollipara for valuable discussions and the organizers of the EuPA 2013 conference for a great meeting. e u p a o p e n p r o t e o m i c s 4 ( 2 0 1 4 ) 165–170 references [1] Oikawa T. ETS transcription factors: possible targets for cancer therapy. Cancer Sci 2004;95:626–33. [2] Srinivasan D, Plattner R. Activation of Abl tyrosine kinases promotes invasion of aggressive breast cancer cells. Cancer Res 2006;66:5648–55. [3] Consortium TU. Reorganizing the protein space at the Universal Protein Resource (UniProt). Nucleic Acids Res 2012;40:D71–5. [4] Consortium U. Controlled vocabulary of posttranslational modifications (PTM) – ptmlist.txt; 2013. http://www.uniprot.org/docs/ptmlist [5] Lemeer S, Heck AJ. The phosphoproteomics data explosion. Curr Opin Chem Biol 2009;13:414–20. [6] Silva A, Vitorino R, Domingues MRM, Spickett CM, Domingues P. Post-translational modifications and mass spectrometry detection. Free Radic Biol Med 2013;65:925–41. [7] Kim JS, Monroe ME, Camp 2nd DG, Smith RD, Qian WJ. In-source fragmentation and the sources of partially tryptic peptides in shotgun proteomics. J Proteome Res 2013;12:910–6. [8] Burkhart JM, Schumbrutzki C, Wortelkamp S, Sickmann A, Zahedi RP. Systematic and quantitative comparison of digest efficiency and specificity reveals the impact of trypsin quality on MS-based proteomics. J Proteomics 2012;75:1454–62. [9] Tweedie-Cullen RY, Brunner AM, Grossmann J, Mohanna S, Sichau D, Nanni P, et al. Identification of combinatorial patterns of post-translational modifications on individual histones in the mouse brain. PLoS ONE 2012;7:e36980. [10] Tweedie-Cullen RY, Reck JM, Mansuy IM. Comprehensive mapping of post-translational modifications on synaptic, nuclear, and histone proteins in the adult mouse brain. J Proteome Res 2009;8:4966–82. [11] Venne AS, Kollipara L, Zahedi RP. The next level of complexity: crosstalk of posttranslational modifications. Proteomics 2013;11:201300344. [12] Matsumoto M, Hatakeyama S, Oyamada K, Oda Y, Nishimura T, Nakayama KI, et al. Large-scale analysis of the human ubiquitin-related proteome. Proteomics 2005;5:4145–51. [13] Peng J, Schwartz D, Elias JE, Thoreen CC, Cheng D, Marsischky G, et al. A proteomics approach to understanding protein ubiquitination. Nat Biotechnol 2003;21:921–6. [14] Monetti M, Nagaraj N, Sharma K, Mann M. Large-scale phosphosite quantification in tissues by a spike-in SILAC method. Nat Methods 2011;8:655–8. [15] Huttlin EL, Jedrychowski MP, Elias JE, Goswami T, Rad R, Beausoleil SA, et al. A tissue-specific atlas of mouse protein phosphorylation and expression. Cell 2010;143:1174–89. ˇ [16] Henriksen P, Wagner SA, Weinert BT, Sharma S, Bacinskaja G, Rehman M, et al. Proteome-wide analysis of lysine acetylation suggests its broad regulatory scope in Saccharomyces cerevisiae. Mol Cell Proteomics 2012;11:1510–22. [17] Zielinska DF, Gnad F, Wi´sniewski JR, Mann M. Precision mapping of an in vivo N-glycoproteome reveals rigid topological and sequence constraints. Cell 2010;141:897–907. [18] Engholm-Keller K, Larsen MR. Technologies and challenges in large-scale phosphoproteomics. Proteomics 2013;13:910–31. [19] Heubach Y, Planatscher H, Sommersdorf C, Maisch D, Maier J, Joos TO, et al. From spots to beads—PTM-peptide bead arrays for the characterization of anti-histone antibodies. Proteomics 2013;13:1010–5. [20] Burkhart JM, Vaudel M, Gambaryan S, Radau S, Walter U, Martens L, et al. The first comprehensive and quantitative [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] 169 analysis of human platelet protein composition allows the comparative analysis of structural and functional pathways. Blood 2012;120:e73–82. Eyrich B, Sickmann A, Zahedi RP. Catch me if you can: mass spectrometry-based phosphoproteomics and quantification strategies. Proteomics 2011;11:554–70. Loroch S, Dickhut C, Zahedi RP, Sickmann A. Phosphoproteomics—more than meets the eye. Electrophoresis 2013;34:1483–92. Olsen JV, Mann M. Status of large-scale analysis of post-translational modifications by mass spectrometry. Mol Cell Proteomics 2013;12:3444–52. Lanucara F, Eyers CE. Top-down mass spectrometry for the analysis of combinatorial post-translational modifications. Mass Spectrom Rev 2013;32:27–42. Pan J, Borchers CH. Top-down structural analysis of posttranslationally modified proteins by Fourier transform ion cyclotron resonance-MS with hydrogen/deuterium exchange and electron capture dissociation. Proteomics 2013;13:974–81. Moradian A, Kalli A, Sweredoski MJ, Hess S. The top-down, middle-down, and bottom-up mass spectrometry approaches for characterization of histone variants and their post-translational modifications. Proteomics 2013;4(4-5):489–97. Tian Z, Tolic N, Zhao R, Moore RJ, Hengel SM, Robinson EW, et al. Enhanced top-down characterization of histone post-translational modifications. Genome Biol 2012;13:R86. Pesavento JJ, Bullock CR, LeDuc RD, Mizzen CA, Kelleher NL. Combinatorial modification of human histone H4 quantitated by two-dimensional liquid chromatography coupled with top down mass spectrometry. J Biol Chem 2008;283:14927–37. Chait BT. Mass spectrometry: bottom-up or top-down? Science 2006;314:65–6. Beausoleil SA, Villén J, Gerber SA, Rush J, Gygi SP. A probability-based approach for high-throughput protein phosphorylation analysis and site localization. Nat Biotechnol 2006;24:1285–92. Taus T, Köcher T, Pichler P, Paschke C, Schmidt A, Henrich C, et al. Universal and confident phosphorylation site localization using phosphors. J Proteome Res 2011;10:5354–62. Dickhut C, Feldmann I, Lambert J, Zahedi RP. Impact of digestion conditions on phosphoproteomics. J Proteome Res 2014;13:2761–70. Beck F, Geiger J, Gambaryan S, Veit J, Vaudel M, Nollau P, et al. Time-resolved characterization of cAMP/PKA-dependent signaling reveals that platelet inhibition is a concerted process involving multiple signaling pathways. Blood 2014;123:e1–10. Garcia BA, Pesavento JJ, Mizzen CA, Kelleher NL. Pervasive combinatorial modification of histone H3 in human cells. Nat Methods 2007;4:487–9. Lee JE, Kellie JF, Tran JC, Tipton JD, Catherman AD, Thomas HM, et al. A robust two-dimensional separation for top-down tandem mass spectrometry of the low-mass proteome. J Am Soc Mass Spectrom 2009;20:2183–91. Tran JC, Zamdborg L, Ahlf DR, Lee JE, Catherman AD, Durbin KR, et al. Mapping intact protein isoforms in discovery mode using top-down proteomics. Nature 2011;480:254–8. Roth MJ, Forbes AJ, Boyne MT, Kim Y-B, Robinson DE, Kelleher NL, et al. Precise and parallel characterization of coding polymorphisms, alternative splicing, and modifications in human proteins by mass spectrometry. Mol Cell Proteomics 2005;4:1002–8. Lamoliatte F, Bonneil E, Durette C, Caron-Lizotte O, Wildemann D, Zerweck J, et al. Targeted identification of 170 [39] [40] [41] [42] [43] [44] [45] e u p a o p e n p r o t e o m i c s 4 ( 2 0 1 4 ) 165–170 SUMOylation sites in human proteins using affinity enrichment and paralog-specific reporter ions. Mol Cell Proteomics 2013;12:2536–50. Kim W, Bennett EJ, Huttlin EL, Guo A, Li J, Possemato A, et al. Systematic and quantitative assessment of the ubiquitin-modified proteome. Mol Cell 2011;44:325–40. Gates MB, Tomer KB, Deterding LJ. Comparison of metal and metal oxide media for phosphopeptide enrichment prior to mass spectrometric analyses. J Am Soc Mass Spectrom 2010;21:1649–59. Sano A, Nakamura H. 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 2004;20:861–4. Beltran L, Casado P, Rodríguez-Prados J-C, Cutillas PR. Global profiling of protein kinase activities in cancer cells by mass spectrometry. J Proteomics 2012;77:492–503. Engholm-Keller K, Birck P, Storling J, Pociot F, Mandrup-Poulsen T, Larsen MR, et al. TiSH – a robust and sensitive global phosphoproteomics strategy employing a combination of TiO2 , SIMAC, and HILIC. J Proteomics 2012;75:5749–61. Gevaert K, Van Damme J, Goethals M, Thomas GR, Hoorelbeke B, Demol H, et al. Chromatographic isolation of methionine-containing peptides for gel-free proteome analysis: identification of more than 800 Escherichia coli proteins. Mol Cell Proteomics 2002;1:896–903. Staes A, Van Damme P, Helsens K, Demol H, Vandekerckhove J, Gevaert K, et al. Improved recovery of [46] [47] [48] [49] [50] [51] [52] proteome-informative, protein N-terminal peptides by combined fractional diagonal chromatography (COFRADIC). Proteomics 2008;8:1362–70. Venne AS, Vögtle F-N, Meisinger C, Sickmann A, Zahedi RP. Novel highly sensitive, specific and straightforward strategy for comprehensive N-terminal proteomics reveals unknown substrates of the mitochondrial peptidase Icp55. J Proteome Res 2013;12:3823–30. Hennrich ML, van den Toorn HW, Groenewold V, Heck AJ, Mohammed S. Ultra acidic strong cation exchange enabling the efficient enrichment of basic phosphopeptides. Anal Chem 2012;84:1804–8. Gevaert K, Goethals M, Martens L, Van Damme J, Staes A, Thomas GR, et al. Exploring proteomes and analyzing protein processing by mass spectrometric identification of sorted N-terminal peptides. Nat Biotechnol 2003;21:566–9. Gevaert K, Ghesquière B, Staes A, Martens L, Van Damme J, Thomas GR, et al. Reversible labeling of cysteine-containing peptides allows their specific chromatographic isolation for non-gel proteome studies. Proteomics 2004;4:897–908. Gevaert K, Vandekerckhove J. Reverse-phase diagonal chromatography for phosphoproteome research. Methods Mol Biol 2009;527:219–27. Ghesquiere B, Buyl L, Demol H, Van Damme J, Staes A, Timmerman E, et al. A new approach for mapping sialylated N-glycosites in serum proteomes. J Proteome Res 2007;6:4304–12. Ghesquiere B, Colaert N, Helsens K, Dejager L, Vanhaute C, Verleysen K, et al. In vitro and in vivo protein-bound tyrosine nitration characterized by diagonal chromatography. Mol Cell Proteomics 2009;8:2642–52.
© Copyright 2024 ExpyDoc