Inherently hydrophilic mesoporous channel coupled with metal oxide for fishing endogenous salivary glycopeptides and phosphopeptides

Zixing Xu Yonglei Wu Xufang Hu Chunhui Deng Nianrong Sun

Citation:  Zixing Xu, Yonglei Wu, Xufang Hu, Chunhui Deng, Nianrong Sun. Inherently hydrophilic mesoporous channel coupled with metal oxide for fishing endogenous salivary glycopeptides and phosphopeptides[J]. Chinese Chemical Letters, 2022, 33(10): 4695-4699. doi: 10.1016/j.cclet.2021.12.069 shu

Inherently hydrophilic mesoporous channel coupled with metal oxide for fishing endogenous salivary glycopeptides and phosphopeptides

English

  • Glycosylation and phosphorylation are two crucial protein processing modes and protein post-translational modifications (PTMs) [1], which exert significant impacts on regulating cell differentiation and proliferation [2], intracellular communication [3], immune response [4], and transcriptional activation [5]. Numerous reports have revealed glycosylation and phosphorylation not only independently perform their own duties but also cooperatively regulate diverse biologic and pathogenic processes [6-8]. For instance, the glycosylation and phosphorylation of tau protein and β-amyloid precursor protein are considered to modulate Alzheimer's disease via accumulation and aggregation [9, 10]. Endogenous glycopeptides and phosphopeptides, as important products of the two PTMs, are sensitive biomarkers for the prediction, diagnosis, and monitoring of many diseases [11, 12]. Serum glycopeptidome can be used to assess the risk of hepatitis B virus-related liver diseases [13]. Major histocompatibility complex class Ⅰ-associated phosphopeptides are thought to be the hallmarks of malignant transformation [14]. Therefore, integrative analysis of endogenous glycopeptides and phosphopeptides is anticipated to promote the discovery of biomarker and increase knowledge of the two PTMs mechanisms.

    Mass spectrometry (MS) technique with high speed, high throughput and high sensitivity has become a prevalent and reliable tool for varied research fields especially in proteomics [15]. However, direct analysis of endogenous glycopeptides and phosphopeptides is often hindered by their low abundance and ionization, and especially complex interferences. Therefore, many strategies have been developed for the enrichment of glycopeptides and phosphopeptides. Among them, hydrophilic interaction liquid chromatography (HILIC) and metal oxide affinity chromatography (MOAC) are common strategies. The former provides unbiased binding to glycopeptides and the latter possesses pH-controlled strong affinity to phosphopeptides [16-18]. Thus, the combination of HILIC and MOAC has been considered as a great idea for the simultaneous enrichment of glycopeptides and phosphopeptides. Lu et al. proposed the PNI-co-ATBA0.2@SiO2 material and identified 631 phosphopeptides and 120 glycopeptides from 50 µg HeLa cell lysates [19]. Sun et al. designed a hydrophilic iminodiacetic acid-modified magnetic titanium dioxide and simultaneously enriched 550 phosphopeptides and 330 glycopeptides from tryptic digestion of 100 µg mouse brain extracts [20]. However, there are few reports regarding the simultaneous analysis of endogenous glycopeptidome and phosphopeptidome due to the high dynamic range of body fluid and the trace amounts of endogenous glycopeptides and phosphopeptides, making it a very challenging task. Therefore, it is encouraging to explore novel functionalized material to resolve this challenge.

    In this work, we constructed a magnetic metal oxide nanocomposite coupled with inherently hydrophilic mesoporous channels (denoted as Fe3O4@TiO2@mSiO2-TSG). The Fe3O4 core undertook the self-assembly of TiO2 layer, and hydrophilic mesoporous silica layer containing abundant gluconamide was further modified onto TiO2 layer via a facile one-pot method. Generally, superparamagnetism of innermost Fe3O4 core allowed rapid sample separation. The middle TiO2 layer could chelate with phosphoryl oxygens of phosphopeptides [21]. The outermost hydrophilic mesoporous silica layer not only provided intense hydrophilic attraction for glycopeptides [22], but also provided large specific surface area for accommodating glyco-/phosphopeptides and restrained large-sized proteins from entering into the perpendicular mesochannels [23, 24]. Based on above features, Fe3O4@TiO2@mSiO2-TSG revealed satisfactory co-enrichment efficiency in both standard samples and complex saliva samples. It is noteworthy that our material intelligently integrates HILIC and MOAC with a comparatively convenient manner for endogenous glycopeptidomics and phosphopeptidomics research.

    The synthesis approach of Fe3O4@TiO2@mSiO2-TSG is illustrated in Fig. 1a. Briefly, the Fe3O4 sphere was firstly synthesized via a renowned solvothermal approach [25]. Fe3O4@TiO2 was obtained by the hydrolysis and condensation of titania precursor (tetrabutyl titanate) on the magnetic nanoparticles. Subsequently, hydrophilic silica layer was coated on TiO2 shell through a facile one-pot sol-gel spontaneous growth method, for which tetraethyl orthosilicate (TEOS) and N-(3-triethoxysilylpropyl)gluconamide (TSG) were adopted as silica source, and cetyltrimethylammonium bromide (CTAB) served as surfactant template. Finally, after refluxing to remove CTAB, Fe3O4@TiO2@mSiO2-TSG nanomaterial was obtained. Transmission electron microscope (TEM) images of Fe3O4@TiO2@mSiO2-TSG illustrate the core-shell structure and perpendicularly aligned mesoporous channels (Figs. 1b and c). The hydrophilicity was evaluated through measuring the water contact angle of Fe3O4@TiO2@mSiO2 and Fe3O4@TiO2@mSiO2-TSG (Figs. 1d and e). The obvious decrease from 36.54° to 19.17° confirms that the introduction of gluconamide considerably enhance the material hydrophilicity. The nitrogen adsorption-desorption measurements of Fe3O4@TiO2@mSiO2-TSG indicate the surface area is around 229.7 m2/g and the pore size is about 3.33 nm (Fig. 1f), which endows the material with size-exclusion effect. Scanning electron microscope (SEM) images with the corresponding EDX elemental mapping images (Figs. S1 and S2 in Supporting information) distinctly display that C, N, O, Fe and Si elements are homogeneously distributed, implying the successful modification of TiO2 and gluconamide functionalized silica layer. Moreover, Fourier-transform infrared spectroscopy (FT-IR) analysis of different materials is displayed in Fig. 1g. The absorption peaks at 450–700 cm−1 are ascribed to Ti−O−Ti, at 1640 cm−1, 1080 cm−1, 910 cm−1 and 582 cm−1 belonged to C=O, Si−O−Si, Ti−O−Si and Fe−O, respectively. Thermo-gravimetric analysis (TGA, Fig. 1h) shows weight loss between Fe3O4@TiO2@mSiO2-TSG and Fe3O4@TiO2@mSiO2 is about 3.32%, revealing the high content of gluconamide moiety. Besides, the saturation magnetic (Ms) values of Fe3O4 and Fe3O4@TiO2@mSiO2-TSG are measured as 79.15 emu/g and 44.12 emu/g, respectively (Fig. 1i), and as shown in inset of Fig. 1i, the uniformly dispersed Fe3O4@TiO2@mSiO2-TSG in solution could be separated sufficiently with the aid of a magnet, demonstrating the Ms value of Fe3O4@TiO2@mSiO2-TSG is sufficient for high-efficient magnetic separation.

    Figure 1

    Figure 1.  (a) Synthesis flow chart of Fe3O4@TiO2@mSiO2-TSG; (b, c) TEM images of Fe3O4@TiO2@mSiO2-TSG; water contact angles of (d) Fe3O4@TiO2@mSiO2 and (e) Fe3O4@TiO2@mSiO2-TSG. (f) Nitrogen adsorption-desorption isotherms and pore size distribution curve of Fe3O4@TiO2@mSiO2-TSG. (g) FT-IR spectra of Fe3O4, Fe3O4@TiO2@mSiO2, Fe3O4@TiO2@mSiO2-TSG. (h) TGA curves of Fe3O4@TiO2@mSiO2 and Fe3O4@TiO2@mSiO2-TSG. (i) Magnetic hysteresis curves of Fe3O4 and Fe3O4@TiO2@mSiO2-TSG, the inset in (i) shows (A) the magnetic separation and (B) dispersion processes of the Fe3O4@TiO2@mSiO2-TSG.

    The enrichment procedure for glycopeptides and phosphopeptides by Fe3O4@TiO2@mSiO2-TSG mainly includes incubation, washing, elution and MS analysis (Fig. 2a). The potential binding modes between Fe3O4@TiO2@mSiO2-TSG and glyco- and phosphopeptides are briefly manifested in Fig. 2b. In enrichment condition, TiO2 can coordinate with phosphate groups on the phosphopeptides [26], the hydroxyl groups on mSiO2-TSG and glycopeptides could form an intricate network of hydrogen bonding and electrostatic interaction. While in eluting condition, the interaction can be broken, thus realizing the enrichment of glyco- and phosphopeptides. The enrichment performance of Fe3O4@TiO2@mSiO2-TSG was first investigated by capturing glycopeptides from 100 nmol/L horseradish peroxidase (HRP) tryptic digests. Herein, under optimized condition (Fig. S3 in Supporting information), HRP digests, β-casein digests and Fe3O4@TiO2@mSiO2-TSG were respectively dispersed in loading buffer. After incubation, washing and elution, the eluent was analyzed by MALDI-TOF MS. Detailed information of enrichment procedure could be found in the Supporting information. As shown in Figs. 3a and b, the intensity of glycopeptides is extremely low as a result of suffering from interferences when conducting direct analysis. While after enrichment, 8 glycopeptides and 10 glycopeptide fragments dominate the spectrum, the detailed information of the identified glycopeptides is listed at Table S1 (Supporting information). Besides, 100 nmol/L tryptic digests of human immunoglobulin G (IgG) were also applied, as shown in Figs. 3c and d, impurity peaks are removed, 5 glycopeptides and 14 glycopeptide fragments could be clearly observed after enrichment, the detailed information of the identified glycopeptides is listed in Table S2 (Supporting information). The phosphopeptide enrichment capacity of Fe3O4@TiO2@mSiO2-TSG was evaluated by 100 nmol/L β-casein tryptic digests (containing 2% α-casein), as shown in Figs. 3e and f, 6 phosphopeptide peaks and 10 fragment peaks are distinctly detected, the detailed information of the identified phosphopeptides is listed in Table S3 (Supporting information). Furthermore, when using the mixture of 100 nmol/L HRP tryptic digests and β-casein tryptic digests as sample (Figs. 3g and h), after enrichment, the spectrum is occupied by 8 glycopeptide peaks and 6 phosphopeptide peaks, as well as their corresponding 15 fragment peaks. It can be seen the number of the detected glycopeptides and phosphopeptides by co-enrichment is consistent with that of respective enrichment. While the production of fragment peaks is associated with the ionization degree of the analytes, the matrix effect caused by ion suppression affects the ionization of co-eluting analytes, influencing the precision and accuracy of fragment peaks [27]. This result indicates our method is great in co-enrichment.

    Figure 2

    Figure 2.  (a) Workflow chart of Fe3O4@TiO2@mSiO2-TSG for glycopeptide enrichment from biological samples; (b) binding modes between glycopeptides/phosphopeptides and functional groups of Fe3O4@TiO2@mSiO2-TSG in different conditions.

    Figure 3

    Figure 3.  MALDI-TOF MS spectra of 100 nmol/L tryptic digests of (a, b) HRP, (c, d) IgG, and (e, f) β-casein, as well as (g, h) mixed HRP and β-casein. (a, c, e, g) direct analysis; (b, d, f, h) after enrichment by Fe3O4@TiO2@mSiO2-TSG. "△", glycopeptides; "*", glycopeptide fragments; "#", phosphopeptides; "§", phosphopeptide fragments.

    The reusability of Fe3O4@TiO2@mSiO2-TSG for simultaneous enrichment was investigated, the nanomaterial was recycled by washing with loading buffer and eluents. Even when the regenerated Fe3O4@TiO2@mSiO2-TSG was reused for six enrichment experiments, the number of identified peptides and relative intensity are nearly identical to that obtained for the first use (Fig. S4 in Supporting information), which confirms the reusability of the Fe3O4@TiO2@mSiO2-TSG. Furthermore, the concentration of HRP digests and β-casein digests were diluted to 1 nmol/L and 0.1 nmol/L, as shown in Fig. S5 (Supporting information), glyco- and phosphopeptide peaks still occupy the spectra after enrichment by Fe3O4@TiO2@mSiO2-TSG, indicating the excellent sensitivity for co-enrichment.

    The selectivity of Fe3O4@TiO2@mSiO2-TSG for glyco- and phosphopeptide enrichment was tested as well. HRP or β-casein tryptic digests were mixed respectively with BSA tryptic digests. When molar ratio reaches 1:200, the signals of glyocopeptide or phosphopeptide peaks are significantly suppressed. However, glycopeptide peaks and phosphopeptide peaks take a predominant position in the spectrum after enrichment with Fe3O4@TiO2@mSiO2-TSG (Fig. S6 in Supporting information). Furthermore, considering the numerous variables with regard to the composition of complex biological samples, the size-exclusion effect of Fe3O4@TiO2@mSiO2-TSG nanomaterial was assessed (Fig. S7 in Supporting information). HRP tryptic digests and β-casein tryptic digests were mixed with bovine albumin protein respectively with the ratio of 1:5000 (w/w). The signals of glycopeptide and phosphopeptide are suppressed significantly and BSA protein peaks could be detected before enrichment. While after enrichment, the peaks of glycopeptides and phosphopeptides occupy the spectrum and no BSA protein peak could be detected. The comparisons indicate the remarkable size-exclusion property of Fe3O4@TiO2@mSiO2-TSG.

    Inspired by the excellent enrichment performance above, the Fe3O4@TiO2@mSiO2-TSG nanocomposites were applied to the enrichment of glycopeptides and phosphopeptides from non-digested human saliva within four days in succession, the eluent was desalted by SepPak C18 cartridges, deglycosylated by PNGaseF and lyophilized for nano-LC-MS/MS analysis. 31, 63, 53, 39 glycopeptides and 132, 105, 87, 39 phosphopeptides were identified in four days, the selectivity reached 12.2%. The detailed information is listed in Tables S4 and S5 (Supporting information). As shown in Fig. 4a and Fig. S8 (Supporting information), a total of 94 endogenous glycopeptides and 164 endogenous phosphopeptides are enriched from a total of 2 µL human saliva. A brief comparison concerning reported strategies for endogenous glycopeptide and phosphopeptide enrichment in human saliva is listed in Table S6 (Supporting information) [28-44]. The comparison of these methods manifests that the Fe3O4@TiO2@mSiO2-TSG nanomaterial possesses competitive efficiency in endogenous glyco- and phosphopeptide enrichment. Moreover, the gene ontology analysis was conducted. The salivary glyco- and phosphopeptides are inclined to localize at extracellular region, extracellular exosome and extracellular space (Fig. S9 in Supporting information). As shown in Fig. 4b, the salivary glyco- and phosphopeptides play crucial roles in protein binding and DNA binding. Besides, the identified endogenous peptides derived from basic salivary proline-rich protein tend to undergo both phosphorylation and glycosylation, as shown in Fig. S10 (Supporting information), they are associated with a series of biological processes including induction of bacterial agglutination, platelet degranulation and defense response to bacterium, which contribute to the anti-bacteria property of saliva.

    Figure 4

    Figure 4.  (a) Venn diagram of the identified glycopeptides and phosphopeptides of the healthy volunteer in four days; (b) the gene ontology (GO) term enrichment analysis of the molecular function of the healthy volunteer.

    In summary, a facile synthesis method of constructing a novel hydrophilic magnetic titanium dioxide mesoporous silica material for glycopeptidomics and phosphopeptidomics analysis was proposed. TiO2 was deposited facilely on the magnetic sphere, and the gluconamide-functionalized mesoporous silica was synthesized via one-pot synthetic approach, which significantly simplify the synthetic method compared to conventional hydrophilic material based on post-synthetic functionalization. Owing to the enhanced hydrophilicity, abundant metal oxide site, suitable mesoporous structure, large specific surface area and considerable magnetic responsiveness, Fe3O4@TiO2@mSiO2-TSG exhibited outstanding sensitivity, reusability and size-exclusion effect towards glycophopeptide and phosphopeptide enrichment. Remarkably, a total of 94 endogenous glycopeptides and 164 endogenous phosphopeptides were captured from a total of 2 µL non-digested human saliva with the aid of Fe3O4@TiO2@mSiO2-TSG. Gene ontology analysis revealed the identified salivary glyco- and phosphopeptides exert influence on diverse biological processes. The high simultaneous enrichment capacity makes the Fe3O4@TiO2@mSiO2-TSG a potent tool for glycoproteomics and phosphoproteomics analysis and suggests a huge potential in comprehensive post-translational modifications research.

    The authors declare no conflict of interest.

    This work was supported by National Key R & D Program of China (No. 2018YFA0507501), the National Science Foundation for Distinguished Young Scholars of China (No. 21425518), the National Natural Science Foundation of China (Nos. 22074019, 22004017), and Shanghai Sailing Program (No. 20YF1405300).


    1. [1]

      Y. Li, X.M. Zhang, C.H. Deng, Chem. Soc. Rev. 42 (2013) 8517-8539. doi: 10.1039/c3cs60156k

    2. [2]

      G.Y. Qing, Q. Lu, Y.T. Xiong, et al., Adv. Mater. 29 (2017) 1604670. doi: 10.1002/adma.201604670

    3. [3]

      C.W. Li, S.O. Lim, W.Y. Xia, et al., Nat. Commun. 7 (2016) 12632. doi: 10.1038/ncomms12632

    4. [4]

      H.Y. Zheng, S. Guan, X.T. Wang, et al., Anal. Chem. 92 (2020) 9239-9246. doi: 10.1021/acs.analchem.0c01572

    5. [5]

      G.Y. Qing, Q. Lu, X.L. Li, et al., Nat. Commun. 8 (2017) 461. doi: 10.1038/s41467-017-00464-0

    6. [6]

      C.M. Woo, A.T. Iavarone, D.R. Spiciarich, K.K. Palaniappan, C.R. Bertozzi, Nat. Methods 12 (2015) 561-567. doi: 10.1038/nmeth.3366

    7. [7]

      X.J. Zou, J.Z. Jie, B. Yang, Anal. Chem. 89 (2017) 7520-7526. doi: 10.1021/acs.analchem.7b01209

    8. [8]

      H.J. Zheng, J.X. Jia, Z. Li, Q. Jia, Anal. Chem. 92 (2020) 2680-2689. doi: 10.1021/acs.analchem.9b04691

    9. [9]

      A.J. Maetorell, A.L. Paulson, H.J. Suk, et al., Cell 177 (2019) 256-271. doi: 10.1016/j.cell.2019.02.014

    10. [10]

      E.F. Fang, Y. Hou, K. Palikaras, et al., Nat. Neurosci. 22 (2019) 401-412. doi: 10.1038/s41593-018-0332-9

    11. [11]

      T.J. Wadzinski, A. Steinauer, L. Hie, et al., Nat. Chem. 10 (2018) 644-652. doi: 10.1038/s41557-018-0041-8

    12. [12]

      Q.J. Liu, N.R. Sun, M.X. Gao, et al., ACS Sustain. Chem. Eng. 6 (2018) 4382-4389. doi: 10.1021/acssuschemeng.8b00023

    13. [13]

      S. Zhang, X.Y. Cao, C. Liu, et al., Mol. Cell. Proteom. 18 (2019) 2262-2272. doi: 10.1074/mcp.RA119.001722

    14. [14]

      F. Mohammed, M. Cobbold, A.L. Zarling, et al., Nat. Immunol. 9 (2008) 1236-1243. doi: 10.1038/ni.1660

    15. [15]

      R. Aebersold, M. Mann, Nature 537 (2016) 347-355. doi: 10.1038/nature19949

    16. [16]

      Y. Li, N.R. Sun, X.F. Hu, Y. Li, C.H. Deng, TrAC Trends Anal. Chem. 120 (2019) 115658. doi: 10.1016/j.trac.2019.115658

    17. [17]

      N.R. Sun, H. Wu, H.M. Chen, X.Z. Shen, C.H. Deng, Chem. Commun. 55 (2019) 10359-10375. doi: 10.1039/C9CC04124A

    18. [18]

      N.R. Sun, H. Wu, X.Z. Shen, C.H. Deng, Adv. Funct. Mater. 29 (2019) 1900253. doi: 10.1002/adfm.201900253

    19. [19]

      Q. Lu, C. Chen, Y.T. Xiong, et al., Anal. Chem. 92 (2020) 6269-6277. doi: 10.1021/acs.analchem.9b02643

    20. [20]

      N.R. Sun, H. Wu, X.Z. Shen, Microchim. Acta 187 (2020) 195. doi: 10.1007/s00604-020-4161-7

    21. [21]

      H.J. Zhou, M.L. Ye, J. Dong, et al., Nat. Protoc. 8 (2013) 461-480. doi: 10.1038/nprot.2013.010

    22. [22]

      D.V. McCalley, J. Chromatogr. A 1523 (2017) 49-71. doi: 10.1016/j.chroma.2017.06.026

    23. [23]

      C.L. Pu, H.L. Zhao, Y.Y. Hong, et al., ACS Sustain. Chem. Eng. 9 (2021) 5818-5826. doi: 10.1021/acssuschemeng.0c08210

    24. [24]

      Y.L. Li, H. Wu, N.R. Sun, C.H. Deng, J. Chromatogr. A 1587 (2019) 24-33. doi: 10.1016/j.chroma.2018.11.040

    25. [25]

      T.C. Zhao, X.H. Zhu, C.T. Hung, et al., J. Am. Chem. Soc. 140 (2018) 10009-10015. doi: 10.1021/jacs.8b06127

    26. [26]

      G.L. Barbera, A.L. Capriotti, C. Cavaliere, et al., Talanta 183 (2018) 245-249. doi: 10.1016/j.talanta.2018.02.085

    27. [27]

      S. Alseekh, A. Aharoni, Y. Brotman, et al., Nat. Methods 18 (2021) 747-756. doi: 10.1038/s41592-021-01197-1

    28. [28]

      Y.L. Li, C.H. Deng, N.R. Sun, Anal. Chim. Acta 1024 (2018) 84-92. doi: 10.1016/j.aca.2018.04.030

    29. [29]

      C. Zhang, X.D. Jin, L.P. Wang, et al., ACS Appl. Mater. Interfaces 13 (2021) 9714-9728. doi: 10.1021/acsami.0c22221

    30. [30]

      H.M. Chen, Y.L. Li, H. Wu, N.R. Sun, C.H. Deng, ACS Sustain. Chem. Eng. 7 (2019) 2844-2851. doi: 10.1021/acssuschemeng.8b06258

    31. [31]

      Y.L. Li, H. Wu, N.R. Sun, C.H. Deng, J. Chromatogr. A 1587 (2019) 24-33. doi: 10.1016/j.chroma.2018.11.040

    32. [32]

      N.R. Sun, J.W. Wang, J.Z. Yao, H.M. Chen, C.H. Deng, Microchim. Acta 186 (2019) 159. doi: 10.1007/s00604-019-3274-3

    33. [33]

      Z.D. Wang, R.Q. Wu, H.M. Chen, N.R. Sun, C.H. Deng, Nanoscale 10 (2018) 5335-5341. doi: 10.1039/C7NR08613J

    34. [34]

      X.W. Li, H.Y. Zhang, N. Zhang, et al., ACS Sustain. Chem. Eng. 7 (2019) 11511-11520. doi: 10.1021/acssuschemeng.9b01382

    35. [35]

      Y. Tian, R. Tang, X. Wang, et al., Anal. Chim. Acta 1173 (2021) 338694. doi: 10.1016/j.aca.2021.338694

    36. [36]

      L.H. Yi, Y.H. Yan, K.Q. Tang, C.F. Ding, Anal. Methods 12 (2020) 4657-4664. doi: 10.1039/D0AY01412E

    37. [37]

      B. Liu, B.C. Wang, Y.H. Yan, K.Q. Tang, C.F. Ding, Microchim. Acta 188 (2021) 1-11. doi: 10.1007/s00604-020-04655-3

    38. [38]

      Y.L. Li, L.L. Liu, H. Wu, C.H. Deng, Anal. Chim. Acta 1079 (2019) 111-119. doi: 10.1016/j.aca.2019.06.045

    39. [39]

      Z.X. Xu, Y.L. Wu, H. Wu, N.R. Sun, C.H. Deng, Anal. Chim. Acta 1146 (2021) 53-60. doi: 10.1016/j.aca.2020.12.038

    40. [40]

      D.P. Xu, G.Q. Yan, M.X. Gao, C.H. Deng, X.M. Zhang, Talanta 166 (2017) 154-161. doi: 10.1016/j.talanta.2017.01.030

    41. [41]

      Y.L. Wu, Q.J. Liu, Y.Q. Xie, C.H. Deng, Talanta 190 (2018) 298-312. doi: 10.1016/j.talanta.2018.08.010

    42. [42]

      M.M. Ali, Z.Y. Zhu, D. Hussain, et al., Talanta 233 (2021) 122576. doi: 10.1016/j.talanta.2021.122576

    43. [43]

      H.Z. Lin, K.P. Yuan, C.H. Deng, Talanta 175 (2017) 427-434. doi: 10.1016/j.talanta.2017.07.078

    44. [44]

      R.Z. Tang, Y. Yu, J. Dong, et al., Anal. Chim. Acta 1144 (2021) 111-120. doi: 10.1016/j.aca.2020.12.015

  • Figure 1  (a) Synthesis flow chart of Fe3O4@TiO2@mSiO2-TSG; (b, c) TEM images of Fe3O4@TiO2@mSiO2-TSG; water contact angles of (d) Fe3O4@TiO2@mSiO2 and (e) Fe3O4@TiO2@mSiO2-TSG. (f) Nitrogen adsorption-desorption isotherms and pore size distribution curve of Fe3O4@TiO2@mSiO2-TSG. (g) FT-IR spectra of Fe3O4, Fe3O4@TiO2@mSiO2, Fe3O4@TiO2@mSiO2-TSG. (h) TGA curves of Fe3O4@TiO2@mSiO2 and Fe3O4@TiO2@mSiO2-TSG. (i) Magnetic hysteresis curves of Fe3O4 and Fe3O4@TiO2@mSiO2-TSG, the inset in (i) shows (A) the magnetic separation and (B) dispersion processes of the Fe3O4@TiO2@mSiO2-TSG.

    Figure 2  (a) Workflow chart of Fe3O4@TiO2@mSiO2-TSG for glycopeptide enrichment from biological samples; (b) binding modes between glycopeptides/phosphopeptides and functional groups of Fe3O4@TiO2@mSiO2-TSG in different conditions.

    Figure 3  MALDI-TOF MS spectra of 100 nmol/L tryptic digests of (a, b) HRP, (c, d) IgG, and (e, f) β-casein, as well as (g, h) mixed HRP and β-casein. (a, c, e, g) direct analysis; (b, d, f, h) after enrichment by Fe3O4@TiO2@mSiO2-TSG. "△", glycopeptides; "*", glycopeptide fragments; "#", phosphopeptides; "§", phosphopeptide fragments.

    Figure 4  (a) Venn diagram of the identified glycopeptides and phosphopeptides of the healthy volunteer in four days; (b) the gene ontology (GO) term enrichment analysis of the molecular function of the healthy volunteer.

  • 加载中
计量
  • PDF下载量:  5
  • 文章访问数:  1760
  • HTML全文浏览量:  100
文章相关
  • 发布日期:  2022-10-15
  • 收稿日期:  2021-10-11
  • 接受日期:  2021-12-23
  • 修回日期:  2021-11-05
  • 网络出版日期:  2021-12-29
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

/

返回文章