Open Access Article
Tao
Zhang‡
*a,
Katarina
Madunić‡
a,
Stephanie
Holst
a,
Jing
Zhang
b,
Chunsheng
Jin
c,
Peter
ten Dijke
b,
Niclas G.
Karlsson
c,
Kathrin
Stavenhagen
a and
Manfred
Wuhrer
*a
aCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands. E-mail: t.zhang@lumc.nl; m.wuhrer@lumc.nl
bDepartment of Cell and Chemical Biology and Oncode Institute, Leiden University Medical Center, The Netherlands
cDepartment of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Acedemy, University of Gothenburg, Sweden
First published on 13th April 2020
Changes in glycosylation signatures of cells have been associated with pathological processes in cancer as well as infectious and autoimmune diseases. The current protocols for comprehensive analysis of N-glycomics and O-glycomics derived from cells and tissues often require a large amount of biological material. They also only allow the processing of very limited numbers of samples at a time. Here we established a workflow for sequential release of N-glycans and O-glycans based on PVDF membrane immobilization in 96-well format from 5 × 105 cells. Released glycans are reduced, desalted, purified, and reconstituted, all in 96-well format plates, without additional staining or derivatization. Glycans are then analyzed with porous graphitized carbon nano-liquid chromatography coupled to tandem mass spectrometry using negative-mode electrospray ionization, enabling the chromatographic resolution and structural elucidation of glycan species including many compositional isomers. The approach was demonstrated using glycoprotein standards and further applied to analyze the glycosylation of the murine mammary gland NMuMG cell line. The developed protocol allows the analysis of N- and O-glycans from relatively large numbers of samples in a less time consuming way with high repeatability. Inter- and intraday repeatability of the fetuin N-glycan analysis showed two median intraday coefficients of variations (CVs) of 7.6% and 8.0%, and a median interday CV of 9.8%. Median CVs of 7.9% and 8.7% for the main peaks of N- and O-glycans released from the NMuMG cell line indicate a very good repeatability. The method is applicable to purified glycoproteins as well as to biofluids and cell- or tissue-based samples.
Mass spectrometry (MS)-based glycomics has become one of the most powerful methods for analyzing glycans released from glycoproteins and has vastly benefitted from rapid advances in sample preparation, chromatographic separation, MS methodology and data processing.4 Importantly, MS structural analysis enhanced by powerful separation may provide detailed information and deeper understanding of glycan expression at high sensitivity. However, the low ionization efficiency, sialic acid decay and fucose migration in MS-based glycomics often pose problems in glycan characterization.5–8 To address these challenges, derivatization and/or labeling followed by additional purification steps are employed. However, these methodologies often lack sufficient chromatographic separation resulting in failure to differentiate isomeric glycan species.
Another challenge in the field is the increasing need for high-throughput sample preparation for glycan analysis, due to a vast increase of sample numbers and complexity required in functional glycomics, systems biology, and clinical applications. Currently, there are several high-throughput approaches for N-glycan analysis (mainly glycoprotein),9–11 while less methods are available for O-glycomics.12 Therefore, there is a high demand for high-throughput, reproducible and robust analytical methods for integrated N- and O-glycomics. Scaling up the conventional glycomics analysis to higher-throughput approaches especially with respect to the sample preparation workflow is of great importance for ensuring sufficient sample size providing more reliable results.
Here, we present an integrated N- and O-glycomics approach for sequential release of N- and O-glycans from biological samples based on protein immobilization on polyvinylidene fluoride (PVDF) membrane filter plates in 96-well format. The approach is based on methodology developed by Packer and coworkers.13,14 who have pioneered the analysis of glycan alditols by porous graphitized carbon nano-liquid chromatography coupled to a tandem mass spectrometer (PGC nano-LC-ESI-MS/MS) using negative electrospray ionization.13 Powerful separation capacity enabling discrimination between glycan isomers is a major advantage of PGC chromatography.15,16 Taking their methodology as a starting point,13 considerable modifications were introduced with respect to sample preparation in order to allow a repeatable and less time consuming analysis in a higher-throughput manner. The method was demonstrated by analysis of glycans released from glycoprotein standards, and finally applied to the characterization of a murine breast cancer cell line. The method is applicable to a range of complex biological samples, including biofluids, cell lines and tissues.
Mechanical cell lysis was performed in water as described previously.18 Briefly, cell pellets with approximately 2 × 106 cells were resuspended in 100 μL of water by pipetting for 30 seconds and vortexed for 30 seconds followed by sonication for 60 min in an ultrasound bath at room temperature (RT).
000.
The current protocols for glycomics analysis of cells often require a large quantity of biological material (4–10 × 106 cells),11,22,23 and therefore are of limited use to decipher the glycosylation of cells that are available in minor amounts. Upon considerable modifications, with this approach we were able to analyze N- and O-glycosylation derived from 5 × 105 cells. Our aim was to provide a high throughput workflow suitable for cell glycosylation profiling ensuring sufficient material for glycomics analysis assuming different glycosylation characteristics of different biological samples. Therefore, we have not attempted to test the lowest cell amount necessary for the analysis of glycans derived from NMuMG cell line, as this would be specific for this cell line. However, PGC-MS based glycomics workflows have recently undergone major improvements with respect to sensitivity.24–26 Using post-column make-up flow (PCMF) for enhancing sensitivity has shown potential to allow glycomics analysis from minor amounts of biological material such as rare cell populations as well as patient derived materials.
As shown in Fig. 1, (glyco)proteins from complex biological samples such as cell pellets from cultured cells, organoids or tissue should first be extracted by cell lysis. For tough or fibrous tissues, homogenization is often needed to assist extraction of glycoproteins prior to cell lysis. Taking into consideration the compatibility with MS, cells were lysed mechanically in water or lysis buffer without any detergents. Next, glycoproteins in solution or in cell lysates were then applied and immobilized on 96-well PVDF membrane filter plates followed by denaturation and reduction to achieve efficient and complete release of glycans. To avoid nonspecific binding of PNGase F to the PVDF membrane, the effect of blocking agent PVP-40 was tested, however it showed no benefit on the overall N-glycan signal when cell lysates from 5 × 105 cells were used, likely due to high amounts of protein in the samples which presumably already largely occupied the PVDF membrane pores (data not shown). After removing the denaturation and reduction agents, N-glycans were released from immobilized glycoproteins on PVDF membrane using 2 U of PNGase F, as illustrated in Fig. 1. To ensure the efficient generation of reducing-end glycans and subsequent quantitative reduction, glycosylamines resulting from the release deamidation were hydrolysed using acidic buffer (pH = 5). The released N-glycans were collected and further subjected to reduction, desalting, and PGC solid-phase extraction (SPE) clean-up all in 96-well plate format to ensure efficient sample-throughput. Subsequently, O-glycans were released by reductive β-elimination from the same wells and purified in a high-throughput manner following the same procedure together with the released N-glycans. Thereafter, the released N-glycan and O-glycan alditols were separated on PGC chromatographic column and analyzed with an ion trap mass spectrometer in negative ionization mode.
Most methodologies employ sialic acid derivatization for their stabilization and chemical labeling to increase ionization efficiency.6,18 In addition, the fucose migration in positive mode often poses a problem for structural analysis.8,27 Working in negative ionization mode has key advantages to address these challenges due to its high ionization efficiency especially for sialylated glycans, stability of sialic acids and no migration of fucose. More importantly, negative ionization mode fragmentation allows in-depth structural identification of glycan structures,14,16,28–30 since additional structural information can be obtained from cross-ring fragments providing diagnostic ions for the characterization of glycan linkages.28 MS/MS spectra can be made publicly available by exporting from the DataAnalysis software using Glycoworkbench workspace and uploading to Unicarb DR repository following a standardized bioinformatics infrastructure,31 serving as an open resource for automated N- and O-glycan identification via spectral matching.
Within this analysis, 30 different N-glycan structures were detected of which 24 passed the quantification criteria (signal-to-noise ratio (S/N) ≥ 9). As expected, sialylated N-glycans were detected as dominant glycan types, with different number of sialic acids and their linkages. The profiles obtained by our analysis (Fig. 2A) are very similar to other published characterizations of bovine fetuin N-glycans.32,33,36 Relative quantitation was performed on the top 13 most abundant N-glycans within one sample normalized to 100%. Details on glycan structures and relative abundance are given in Table S1, ESI.† Inter- and intraday repeatability of the fetuin N-glycan analysis showed two median intraday coefficients of variations (CVs) of 7.6% and 8.0%, and a median interday CV of 9.8% within six technical replicates distributed into two plates over 1 month. The highest intraday CV for the relative quantification of N-glycans released from fetuin was 15.7%, indicating the good repeatability of the workflow (Fig. 2B). Our results showed good reduction efficiency, without detection of unreduced species in the top 10 most abundant N-glycans released from fetuin and with less than 2% of unreduced species in the top 10 most abundant N-glycans released from NMuMG cells (data not shown).
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| Fig. 2 Analysis of N-glycans and O-glycans derived from bovine fetuin standard. (A) Combined extracted ion chromatograms (EIC) of N-glycans released from bovine fetuin standard. Blue square: N-acetylglucosamine, green circle: mannose, yellow circle: galactose, red triangle: fucose, right pointing pink diamond: α2,6-linked N-acetylneuraminic acid, left pointing pink diamond: α2,3-linked N-acetylneuraminic acid, H: hexose, N: N-acetylhexosamines, S: N-acetylneuraminic acid. (B) Inter- and intraday repeatability of the fetuin N-glycan analysis based on relative quantification of top 13 most abundant N-glycans. Inter- and intraday repeatability of the fetuin N-glycan analysis showed two median coefficients of variation (CV) of 7.6% and 8.0% within three technical replicates form the same plate, and a median CV of 9.8% within six technical replicates distributed into two plates over 1 month (displayed as mean relative abundance plus standard deviation; CVs of each glycans were listed on the top of the bar; intraday n = 3, interday n = 6, independent two different plates over 1 month). More details displayed in Table S1, ESI.† (C) Combined EICs of 5 O-glycans released from bovine fetuin standard, in which the top three most abundant O-glycans account for 98% of the relative abundance. Blue square: N-acetylglucosamine, yellow circle: galactose, pink diamond: N-acetylneuraminic acid, H: hexose, N: N-acetylhexosamines, S: N-acetylneuraminic acid. (D) Inter- and intraday repeatability of the top 3 most abundant O-glycans released from fetuin after removing N-glycans. (displayed as mean relative abundance plus standard deviation; CVs of each glycans were listed on the top of the bar; intraday n = 3, interday n = 6, derived from two different plates performed over 1 month). More details displayed in Table S2, ESI.† | ||
The powerful separation capacity of PGC chromatography in N- and O-glycans has been widely demonstrated by previous work, enabling separation of glycan isomers based on glycan structure and linkage specificity.28,32,37–39Fig. 2A shows four glycan isomers with the same composition containing five hexoses, four N-acetylhexosamines and two N-acetylneuraminic acids (H5N4S2) (blue trace) which are separated due to different sialic acid linkage combinations. First glycan isomer with two α2,6-linked N-acetylneuraminic acids elutes at 27.2 min, followed by the two coeluting isomers at 32.9 min, which have both one α2,6- and one α2,3-linked N-acetylneuraminic acids, carried on different arms. Lastly, the same glycan with two α2,3-linked N-acetylneuraminic acids elutes at 37.3 min. From this result, we can confirm the previous reports that glycans containing α2,6-linked sialic acid residues elute significantly earlier than the α2,3-linked counterparts.32 While the order of isomer elution is in line with previous reports, we observe slightly different relative retention of e.g. later eluting monosialylated compared to disialylated diantennary N-glycan.
Next to N-glycans, three O-glycans were also detected which were released and prepared from fetuin after N-glycan removal (Fig. 2C), showing the feasibility of integrated N- and O-glycan sample preparation in a 96-well plate format. Fig. 2D shows the relative quantification and repeatability data for the three glycans which are sialylated core 1 and core 2 structures. The median CVs for two intra- and interday repeatability of all quantified structures were 1.9%, 2.3%, and 8.9%, respectively (Table S2, ESI†).
N-Glycan (Fig. 3A) and O-glycan (Fig. 3B) alditols were prepared from 5 × 105 cells in a high-throughput manner following our approach. N-Glycan alditols were analyzed using PGC nano-LC-ESI-MS/MS platform which revealed 94 different N-glycan structures in a single analysis, including 3 paucimannose, 16 oligommanose, 11 hybrid and 64 complex glycans (Table S3, ESI†). Additional low abundant glycans may be present but were not considered further. The composition and proposed structures of N-glycans were assigned on the basis of general knowledge on N-glycan biosynthesis in mice, previous publications on N-glycan fragmentation in negative ion mode40–44 as well as using automated spectral matching tool available online via Unicarb DB. Fig. 3A shows the combined extracted ion chromatograms of the 25 most abundant N-glycan structures. The N-glycan profile obtained from 2 mg of total proteins extracted from NMuMG cell lines has been reported previously, which revealed only 27 N-glycan structures by MALDI-TOF/TOF-MS analysis after acetohydrazide derivatizaton of sialic acids.22 With this approach we were able to confirm all of the N-glycans observed in the previous work,22 but also revealed a large number of additional glycans including paucimannose, phosphorylated oligomannose and more sialylated N-glycans (Fig. 3A). Phosphorylated oligomannose N-glycans were characterized by a decreased retention time on PGC compared to unmodified ones. (Fig. S1, ESI†). In contrast, addition of a sulfate group often results in an increased retention on PGC (unpublished data). Notably, powerful isomer separation on PGC vastly contributed to the higher number of identified glycans, compared to MALDI-TOF/TOF-MS analysis. In agreement with literature,32 we overall confirmed the earlier elution of oligomannose N-glycans, and an increasing retention of N-glycans with increasing numbers of sialic acids and antennae.
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| Fig. 3 Integrated N- and O-glycans analysis derived from NMuMG cells following the 96-well plate sample preparation method and analyzed using PGC nano-LC-ESI-MS/MS. (A) Combined EICs of N-glycans released from 5 × 105 NMuMG cells. (Black line: paucimannose; green line: oligomannose; blue line: hydride; red line; complex type). Blue square: N-acetylglucosamine, green circle: mannose, yellow circle: galactose, red triangle: fucose, pink diamond: N-acetylneuraminic acid, transparent square: N-acetylhexosamine, P: phosphate, H: hexose, N: N-acetylhexosamines, S: N-acetylneuraminic acid. (B) Combined EICs of O-glycans released from NMuMG cells after removing N-glycans. (C) Relative quantification of top 18 most abundant N-glycans. (displayed as mean relative abundance plus standard deviation; CVs of each glycans were listed on the top of the bar; n = 3). More details displayed in Table S4, ESI.† (D) Relative quantification of top 9 most abundant O-glycans. (displayed as mean relative abundance plus standard deviation; CVs of each glycans were listed on the top of the bar; n = 3). More details displayed in Table S5, ESI.† | ||
Relative quantitation of the top 18 most abundant glycans was performed on the total area of the selected glycans within one sample normalized to 100%. The relative abundance and corresponding standard deviation are shown in Fig. 3C and Table S4, ESI.† The robustness of the method was confirmed by a median CV of 7.9% as well as the highest CV of 16.2% within the top 18 glycan species. Specifically, 13 out of 18 the main peaks showed a CV lower than 10%, indicating a very good repeatability. In contrast to N-glycans, mucin-type O-glycans do not share a common core beyond the innermost GalNAc, resulting in a vast structural diversity as well as the presence of multiple isomers. Released O-glycan analysis from the same 5 × 105 NMuMG cells revealed 11 O-glycans (Fig. 3B). All O-glycans in NMuMG cell line were mono-and disialylated core 1 and core 2 structures. The power of isomer separation of PGC can be displayed by the two glycan isomers with composition H2N2S1 at m/z 1040.4 (Fig. 3B, purple trace), which carry the same H2N2 neutral core structure but with different linkage of sialic acid or sialic acid linked to different galactoses, as well as two different core 2 glycan isomers with composition H3N3S2 at m/z 1696.5 (Fig. 3B, orange trace). The distribution of the O-glycans was determined by relative quantification, revealing the dominance of disialylated core 2 O-glycans (Fig. 3D and Table S5, ESI†). The technical variability of O-glycans derived from cell lines was determined in three technical replicates (Fig. 3D) with CVs less than 14.9%.
Footnotes |
| † Electronic supplementary information (ESI) available: Table S1: Relative quantification of N-glycans released from fetuin standard using a 96-well plate sample preparation method and PGC nano-LC-ESI-MS/MS. Table S2: Relative quantification of O-glycans released from fetuin standard using a 96-well plate sample preparation method and PGC nano-LC-ESI-MS/MS. Table S3: N-glycans released from NMuMG cell line using a 96-well plate sample preparation method and PGC nano-LC-ESI-MS/MS. Table S4: Relative quantification of N-glycans released from NMuMG cells using a 96-well plate sample preparation method and PGC nano-LC-ESI-MS/MS. Table S5: Relative quantification of O-glycans released from NMuMG cells using a 96-well plate sample preparation method and PGC nano-LC-ESI-MS/MS. Fig. S1: Elution pattern of N-glycans with and without phosphate on PGC. See DOI: 10.1039/c9mo00180h |
| ‡ These authors contributed equally to this paper. |
| This journal is © The Royal Society of Chemistry 2020 |