Skip to main content
Journal of Lipid Research logoLink to Journal of Lipid Research
. 2018 Jun 4;59(8):1383–1401. doi: 10.1194/jlr.M083048

Membrane assembly of Shiga toxin glycosphingolipid receptors and toxin refractiveness of MDCK II epithelial cells[S]

Nadine Legros *, Gottfried Pohlentz *, Daniel Steil *, Ivan U Kouzel *,, Ivan Liashkovich §, Alexander Mellmann *,, Helge Karch *,, Johannes Müthing *,†,1
PMCID: PMC6071760  PMID: 29866658

Abstract

Shiga toxins (Stxs) are the major virulence factors of Stx-producing Escherichia coli (STEC), which cause hemorrhagic colitis and severe extraintestinal complications due to injury of renal endothelial cells, resulting in kidney failure. Since kidney epithelial cells are suggested additional targets for Stxs, we analyzed Madin-Darby canine kidney (MDCK) II epithelial cells for presence of Stx-binding glycosphingolipids (GSLs), determined their distribution to detergent-resistant membranes (DRMs), and ascertained the lipid composition of DRM and non-DRM preparations. Globotriaosylceramide and globotetraosylceramide, known as receptors for Stx1a, Stx2a, and Stx2e, and Forssman GSL as a specific receptor for Stx2e, were found to cooccur with SM and cholesterol in DRMs of MDCK II cells, which was shown using TLC overlay assay detection combined with mass spectrometry. The various lipoforms of GSLs were found to mainly harbor ceramide moieties composed of sphingosine (d18:1) and C24:1/C24:0 or C16:0 FA. The cells were highly refractory toward Stx1a, Stx2a, and Stx2e, most likely due to the absence of Stx-binding GSLs in the apical plasma membrane determined by immunofluorescence confocal laser scanning microscopy. The results suggest that the cellular content of Stx receptor GSLs and their biochemical detection in DRM preparations alone are inadequate to predict cellular sensitivity toward Stxs.

Keywords: Forssman glycosphingolipid, globo-series, glycolipids, lysophospholipids, Madin-Darby canine kidney, mass spectrometry, microdomains, phospholipids, sphingolipids, Stx-producing Escherichia coli


Glycosphingolipids (GSLs) belong to the structurally very diverse group of sphingolipids (13) and are not just structural elements of cells, but also participate in intracellular and extracellular signaling (410). Besides the complex glycan headgroups, the ceramide lipid backbones have selective biochemical functions and involve the dynamic clustering of GSLs in microdomains of the plasma membrane referred to as lipid rafts (6, 1114). Owing to their peculiar chemico-physical features, sphingolipids participate as a driving force in the formation of microdomains in biological membranes (15), in which cholesterol-rich lipid rafts are islands in the liquid-disordered membrane phase. Cholesterol, SM, and GSLs represent classical markers of lipid rafts, with GSLs as prime players in the development and spatial organization of such microdomains (16). Cholesterol renders lipid rafts relatively resistant to solubilization by nonionic detergents, allowing for the isolation of detergent-resistant membranes (DRMs) from the low-density fraction of a sucrose gradient after ultracentrifugation of detergent-spiked cell lysates (17). DRMs result from a fractionation procedure and exist by definition only in vitro in the presence of detergents. In as such, they provide information on how intrinsic properties of lipids (and proteins) that are found in DRM fractions influence their interaction among each other and with the corresponding detergents. Novel available methods are single-molecule imaging for unraveling microdomain membrane structures (1820), which are suitable for direct observation of the nanoscale dynamics of membrane lipids in a living cell in contrast to a procedure based on detergent resistance (21).

GSLs are attachment sites for a huge number of bacteria and viruses, as well as targets for bacterial toxins (2226). Plasma membrane segregation into microdomains is well recognized as a functional requirement for binding of pathogens and toxins to gain entry into cells (2731). Shiga toxins (Stxs) from pathogenic Stx-producing Escherichia coli (STEC) bind to lipid raft-associated GSL receptors on the surface of target cells, followed by endocytosis and retrograde transport to intracellular targets (3234). Stx is the primary virulence factor of STEC that provokes life-threatening systemic complications and makes this pathogen a public health problem of serious concern (3538).

Stxs belong to the group of bacterial AB5 toxins made up of a single 30 kDa A-subunit and five identical noncovalently linked 7 kDa B-subunits forming a doughnut-like structure with a central pore (39). The B pentamer binds to GSLs of the globo-series and is therefore dependent on these lipids for cellular uptake (34). Upon internalization, retrograde trafficking to the endoplasmic reticulum and transfer into the cytosol, the cleaved A1 fragment exerts its ribotoxic effect, resulting in inhibition of protein biosynthesis and cell death (32, 33). The cytotoxic action of Stx is based on its N-glycosidase activity that depurinates a specific adenosine residue in a conserved loop of the large rRNA. Stx also exhibits depurination activity toward nuclear DNA (40) and acts as a DNA repair inhibitor (41). Furthermore, Stxs are capable of activating multiple cell stress signaling pathways (38, 42). Protection of cells against Stxs can be provided either by inhibiting binding of the toxin to cells or by interfering with any of the subsequent steps required for its toxic effect (43). Analysis of the binding specificities of the Stx subtypes Stx1a, Stx2a, and Stx2e [for revised nomenclature of Stx subtypes, refer to Scheutz et al. 2012 (44)] revealed preferential binding of Stx1a to globotriaosylceramide (Gb3Cer, Galα4Galβ4Glcβ1Cer) and less intensive but clearly detectable interaction with globotetraosylceramide (Gb4Cer; GalNAcβ3Galα4Galβ4Glcβ1Cer), whereas Stx2a favors Gb3Cer and exhibits only marginal adhesion toward Gb4Cer. In addition to Gb3Cer and priority for Gb4Cer, Stx2e represents the promiscuous Stx subtype that recognizes also two pentahexosylceramides with Gb4Cer-elongated core structures: the Forssman GSL with GalNAcα3GalNAcβ3Galα4­Galβ4Glcβ1Cer structure (45) and globopentaosylceramide (Gb5Cer) with Galβ3GalNAcβ3Galα4Galβ4Glcβ1Cer structure (46).

For the present, microvascular endothelial cells of human kidneys and the brain are considered the preferential direct cellular targets of Stxs (4751). Stx-mediated injury of glomerular endothelial cells is deemed to be the key event in acute renal impairment, underlying the pathogenesis of hemolytic uremic syndrome that follows gastrointestinal infection and culminates as renal insufficiency and often fatal outcome (5254). However, evidence has accumulated that Stx may attack, besides endothelial cells, also epithelial cells of the kidney. This has been shown for Stx-sensitive primary human renal epithelial cells (5557) and various human renal epithelium-derived cell lines (56, 5860). Direct effects of Stx2 on renal tubular epithelium and contribution to acute renal failure have been shown in mice, because they, like humans, do express the Stx receptor Gb3Cer in the tubular epithelium (60). Stxs are synonymously named as “verotoxins” or “verocytotoxins” (61, 62), owing to their cytotoxic capacity toward Vero cells derived from the kidney of an African green monkey. Vero cells are routinely used kidney epithelial cells to measure the cytotoxicity of Stx samples (63). Stx GSL receptors of Vero-B4 cells and their membrane microdomain lipid environment as well as Stx-mediated damage have been recently particularized (46). Similar to ubiquitously employed renal Vero cells, Madin-Darby canine kidney (MDCK) cells are widely used for studying biological issues of epithelial cells. Out of the MDCK variety pack, MDCK II cells are the most commonly used MDCK strain and are recommended for most studies (64). Previous reports have provided some data on the phospholipid and GSL composition of MDCK II cells, mostly based on TLC analysis (6573). However, the exact structures of GSLs and phospholipids, their localization in membrane microdomains, especially of supposed Stx-binding GSLs, and susceptibility of MDCK II cells toward Stx1a, Stx2a, and Stx2e subtypes have not been investigated in detail so far.

Here, we report on the identification and structural characterization of globo-series Stx receptor GSLs of MDCK II cells for the three clinically important Stx1a, Stx2a, and Stx2e subtypes and their distribution to and lipid environment in DRMs, and we probed the three Stx subtypes for their cytotoxic effects toward MDCK II cells in cell culture assays. This study might be helpful to further our understanding of the functional role of Stx-binding GSLs in kidney epithelial cells.

MATERIALS AND METHODS

Cultivation of MDCK II cells

MDCK II cells were obtained from the European Collection of Animal Cell Cultures (Salisbury SP4 0JG, UK; catalog no. 00062107). The MDCK II cell line has been isolated from a high-passage parental cell line (NB-2) and represents the most commonly used strain of MDCK cell lines (64). MDCK II cells were cultivated in cell culture medium composed of MEM (PAA Laboratories GmbH, Pasching, Austria) supplemented with 2 mM l-glutamine and 10% FBS (PAA Laboratories GmbH) at 37°C in a humidified 5% CO2/95% air atmosphere. The cells were grown in epithelial monolayers and were routinely passaged every 2–3 days using 0.25% Trypsin-EDTA (Lonza, Verviers, Belgium) before reaching the confluent state. Appropriate cell amounts for the isolation of lipids were produced in 175 cm2 tissue culture flasks (Greiner Bio-One, Frickenhausen, Germany) as previously described for colon epithelial cell lines (74). The Vero-B4 kidney cell line was purchased from the Leibniz Institute DSMZ–German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany; DSMZ no. ACC 33). Cells were propagated and passaged in OptiPRO™ + 4 mM l-glutamine (Fisher Scientific GmbH, Schwerte, Germany). Stx-sensitive Vero-B4 cells served as positive control in cytotoxicity assays.

Immunofluorescence microscopy

MDCK II and Vero-B4 cells were seeded with 1 × 105 cells/ml in 8-well polystyrene chamber slides (Thermo Fisher, Rochester, NY; catalog no. 177445) and propagated for 24 h until ∼80% confluence. The medium was aspirated, and the cells were washed with PBS (Lonza), followed by fixation with 3.7% paraformaldehyde (Merck, Darmstadt, Germany) for 30 min. The fixed cells were washed with PBS and quenched with 0.2 M glycine, pH 7.2 (Roth, Karlsruhe, Germany) for 15 min. After washing with PBS, the cells were blocked with 5% (wt/vol) BSA (Serva Electrophoresis, Heidelberg, Germany) and unrelated goat anti-human transferrin polyclonal antibody in a concentration of 20 μg/ml (AHP858, Bio-Rad, Kidlington, UK) in PBS overnight at 4°C. After washing with PBS, the slides were incubated with Stx1a, Stx2a, and Stx2e for 1 h at a concentration of 0.5 μg/ml each. After one more washing step with PBS, the Stx1a-exposed slides were incubated with monoclonal mouse IgG anti-Stx1 antibody (clone VT109/4-E9B) and those exposed to Stx2a and Stx2e with monoclonal mouse IgG anti-Stx2 antibody (clone VT135/6-B9, both from Sifin GmbH, Berlin, Germany) in 1:500 dilution with 1% BSA at 4°C overnight. The slides were then washed three times with PBS and incubated for 1 h under light protection with highly cross-adsorbed Alexa Fluor 488® goat anti-mouse IgG (Thermo Fisher; catalog no. A11029). Nuclear DNA was stained for 10 min with 4´,6-diamidino-2-phenylindol (DAPI; Sigma-Aldrich, Taufkirchen, Germany, catalog no. D9542) in PBS. Finally, mounting medium (Dianova, Hamburg, Germany; catalog no. SCR-038447) was applied on the slides. Immunolabeled cells were imaged with a confocal laser scanning microscope Leica SP8 equipped with linear Leica HyD hybrid detectors (Leica Mikrosysteme Vertrieb GmbH, Wetzlar, Germany). Scans were performed at 63× magnification along three separate planes to capture both the intracellular as well as surface expression of Stx receptors. The images were processed with Adobe Photoshop software (Adobe Systems Inc.).

Cell cytotoxicity assay

Cell viability was determined using the crystal violet assay as previously described (46, 74). In short, MDCK II cells were grown to confluence in tissue culture flasks (Greiner Bio-One), trypsinized, and seeded in 100 µl volumes in 96-well tissue culture plates (Corning Inc., Corning, NY) (initial cell seeding density of 2 × 103 cells/well). One hundred microliters of purified Stx subtype solutions was applied in increasing toxin concentrations ranging from 10−6 ng/ml (1 fg/ml) up to 103 ng/ml (1 µg/ml) diluted in cell culture medium to cell culture plate wells each in a total volume of 200 μl. Cells were exposed for 1 h to Stx at 37°C in a humidified atmosphere of 5% CO2/95% air followed by incubation in 200 µl of cell culture medium without toxin for 48 h. Pure cell culture medium without toxin served as a control. The cultivation was completed by aspiration of the cell culture supernatant. Remaining adherent cells were fixed with formalin and stained with crystal violet, and cell survival was quantified photometrically as previously described (46, 74). Results represent the means ± SDs of 6-fold determinations and are depicted as percentage values of two untreated controls.

Purification of neutral GSLs from MDCK II cells

The isolation of neutral GSLs from lipid extracts of total cells was performed following established protocols that were previously published (46, 75, 76). Concisely, lipids were extracted from four independently produced biological replicates of MDCK II cells, each obtained from eight large (175 cm2) tissue culture flasks (Greiner Bio-One) of cells in the confluent state. Methanol was used as the first extraction solvent, followed by chloroform/methanol (1/2, vol/vol), chloroform/methanol (1/1, vol/vol), and chloroform/methanol (2/1, vol/vol) mixtures. The pooled extracts were evaporated under rotation, and coextracted phospholipids and triglycerides were saponified by mild alkaline treatment (46, 75, 76). Neutral GSLs were separated from negatively charged GSLs by anion-exchange column chromatography using a DEAE-Sepharose CL-6B column (GE Healthcare, Munich, Germany) according to standard procedures (77, 78).

Reference GSLs, phospholipids, and cholesterol

A preparation of reference-neutral GSLs isolated from human erythrocytes (R1) containing Gb3Cer (Galα4Galβ4Glcβ1Cer) and Gb4Cer (GalNAcβ3Galα4Galβ4Glcβ1Cer) (79, 80) was used as positive controls for antibody and Stx TLC overlay assays. A second neutral GSL reference mixture was prepared from mutton blood, which contained besides Gb3Cer and Gb4Cer the Forssman GSL (45). The nomenclature of the GSLs follows the IUPAC-IUB recommendations, 1997 (81). A phospholipid reference preparation (R3) comprising SM, phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylglycerol (PG), cardiolipin (CL), and phosphatidylserine (PS) was used as described in several previous publications (46, 74, 75, 82). Cholesterol was purchased from Sigma-Aldrich (catalog no. C8667) and used as standard for quantification in DRM and non-DRM fractions. Purified GlcCer from human Gaucher’s spleen was purchased from Sigma-Aldrich (catalog no. G-9884), and a GalCer fraction was prepared from human brain according to standard procedures (77, 78, 83).

Stx subtypes and antibodies

Supernatants from bacterial cell cultures of Escherichia coli O145:H− (strain 2074/97, Stx1a), E. coli O111:H− (strain 03-06016, Stx2a) and from E. coli ONT:H− (strain 2771/97, Stx2e) were used for TLC overlay assay detection of Stx-binding GSLs (45) and for purification of Stx subtypes, which has been previously described for Stx2 from E. coli strain C600(933W) (84). Murine monoclonal IgG antibodies against Stx1 (clone VT 109/4-E9b, 3.9 mg/ml) and Stx2 (clone VT 135/6-B9, 2.75 mg/ml) were obtained from Sifin GmbH (Berlin, Germany). Polyclonal chicken IgY anti-lactosylceramide (anti-Lc2Cer), anti-Gb3Cer, and anti-Gb4Cer antibodies with previously described specificities (8588) were used for TLC overlay assays. Monoclonal rat IgM (clone IIC2) anti-Forssman GSL antibody was produced as previously described by Bethke et al. (89, 90). Secondary alkaline phosphatase (AP)-conjugated affinity-purified polyclonal rabbit anti-chicken IgY (code 303-055-033), goat anti-mouse IgG (code 115-055-003), and goat anti-rat IgG + IgM (code 112-055-044) antibodies were from Dianova.

High-performance TLC and staining of lipids

All lipid samples were applied onto silica gel 60 precoated glass plates (HPTLC plates, size 10 × 10 cm, thickness 0.2 mm; catalog no. 1.05633.0001, Merck) using an automatic sample applicator (Linomat 5, CAMAG, Muttenz, Switzerland). Neutral GSLs were chromatographed in chloroform/methanol/water (120/70/17, each by volume) (solvent 1) and stained with orcinol (91). The monohexosylceramides (MHCs) GlcCer and GalCer were separated as borate complexes in alkaline solvent 2 composed of chloroform/methanol/water/32% NH4OH (65/25/4/0.5, each by volume) (87, 92). For this purpose, the plate was loaded with the sample and exhaustively sprayed with 1.5% (wt/vol) aqueous Na2B4O7 solution before chromatography, which was performed after careful drying. Phospholipids were separated in solvent 3 consisting of chloroform/methanol/isopropanol/triethylamine/0.25% aqueous KCl (30/9/25/18/6, each by volume) and stained with molybdenum blue Dittmer–Lester reagent (93, 94). Cholesterol was stained with manganese(II) chloride (75, 95) after TLC separation in solvent 4 comprising chloroform/acetone (96/4, vol/vol).

TLC overlay assay detection of GSLs

TLC overlay assays using polyclonal chicken anti-Lc2Cer, anti-Gb3Cer, and anti-Gb4Cer antibodies, the monoclonal rat IgM anti-Forssman GSL antibody and bacterial supernatants containing Stx1a, Stx2a, and Stx2e subtypes were done as previously described (45, 75, 82, 87, 88, 96). In short, after GSL separation, the silica gel layer requires fixation with polyisobutylmethacrylate (Plexigum P28, Röhm, Darmstadt, Germany) to prevent detachment from the glass plate. Polyclonal primary chicken anti-GSL antibodies were used at 1:2,000 dilutions and the supernatant from the anti-Forssman GSL producing hybridoma as 1:20 diluted solution in 1% (wt/vol) BSA in PBS. The Stx1a-, Stx2a-, and Stx2e-containing sterile-filtered bacterial supernatants were used undiluted; the anti-Stx1 and anti-Stx2 antibodies were applied in 1:1,000 dilution, and the secondary AP-conjugated antibodies were used at 1:2,000 dilutions (all in 1% BSA in PBS) as previously described (45, 76, 82, 88, 96, 97). Bound secondary antibodies were visualized with 0.05% (wt/vol) 5-bromo-4-chloro-3-indolyl phosphate p-toluidine salt (BCIP; Roth) in glycine solution (pH 10.4), which generates a blue precipitate at sites of antibody binding on the TLC plate (91).

Densitometric quantification of stained phospholipids, cholesterol, and GSLs and immunodetected GSLs

The relative amounts of TLC-separated orcinol-stained and immunostained GSLs as well as molybdenum blue-colored and manganese(II) chloride-colored phospholipid and cholesterol bands, respectively, were determined by densitometry using a CD 60 scanner (Desaga, Heidelberg, Germany; software ProQuant®, version 1.06.000). The scanner operated in reflectance mode at a wavelength of 544 nm (orcinol), 630 nm (BCIP), 700 nm (molybdenum blue), or 365 nm (cholesterol) with light beam slit dimensions of 0.02 × 4 mm.

Preparation of sucrose density gradient DRM and non-DRM fractions

Classical DRM and non-DRM fractions were prepared from sucrose density gradients according to the commonly used procedure described by Brown and Rose (67) with minor modifications as previously published (46, 74, 75, 82). Briefly, confluent grown MDCK II cells were dispersed in lysis buffer and the cell debris was removed by mild centrifugation (400 g). Next, membranes were separated from the supernatant by short ultracentrifugation (150,000 g). The membrane sediment was then solubilized in 1% Triton X-100 buffer and mixed in an equal ratio with 85% sucrose. The produced 42.5% sucrose solution was then overlayed with a discontinuous sucrose gradient of 30% and 5% sucrose and submitted to ultracentrifugation (200,000 g). From top to bottom of the gradient eight fractions each of 1.5 ml volumes were collected: upper three DRM-associated fractions (F1–F3) and lower five non-DRM fractions (F4–F8). The non-DRM fractions were further subgrouped into intermediate (F4–F6) and bottom fractions (F7–F8).

Isolation of phospholipids, cholesterol, and GSLs from sucrose density gradient fractions

Gradient fractions F1–F8 were dialyzed against deionized water at 4°C for 3 days to remove sucrose. A volume of 0.5 ml was taken from each fraction, freeze-dried, and resolved in chloroform/methanol (2/1, vol/vol) for TLC analysis of phospholipids. For GSL and cholesterol analysis, 0.5 ml freeze-dried aliquots of the gradient fractions were taken up in 0.5 ml of 1 N NaOH and kept for 1 h at 37°C for alkaline hydrolysis of phospholipids and triglycerides. Afterwards the samples were neutralized with HCl and desalted by dialysis (46, 74, 75, 82). After lyophilization, the extracts were adjusted to a concentration equivalent to 1 × 105 cells/µl in chloroform/methanol (2/1, vol/vol).

ESI MS

MS1 and MS2 analyses of GSLs and phospholipids were performed on a SYNAPT G2-S mass spectrometer (Waters, Manchester, UK) equipped with a Z-spray source. The source settings were: temperature 80°C, capillary voltage 0.8 kV, sampling cone voltage 20 V, and offset voltage 50 V. Low energy collision-induced dissociation (CID) was used for GSL and phospholipid MS2 analysis. To this end, the lipid precursor ions were selected in the quadrupole analyzer and ion mobility separation was employed (wave velocity 700–800 m/s, wave height 40 V, nitrogen gas flow rate 90 ml/min, helium gas flow rate 180 ml/min). Fragmentation was subsequently performed in the transfer cell using a collision gas (Ar) flow rate of 2.0 ml/min and collision energies up to 100 eV (Elab). Individual GSLs and phospholipids were detected as singly charged monosodiated [M+Na]+ and/or protonated [M+H]+ species and structures were derived from CID spectra. Purified neutral GSLs from MDCKII cells, extracts from TLC-separated GalCer and GlcCer and immunostained Forssman GSL as well as lipid extracts from density gradient fractions F2 and F7 were dried under a stream of nitrogen, dissolved in methanol, and analyzed in the positive ion sensitivity mode.

Statistics

Nonparametric statistical analysis was performed in the R (Version 3.4.0) computing environment (98). The strength of association between phospholipids, cholesterol, and GSLs in DRM and non-DRM fractions obtained from MDCK II cells was determined using Spearman’s rank correlation coefficient rS. Ranks were assigned to densitometrically determined values of the individual lipids, whereby rank 1 corresponds to the highest, rank 2 to the second highest, etc., and rank 8 to the lowest measured value. All tests were two-tailed, and the rs- and the respective P values were calculated with R software. P values were adjusted for multiple comparisons using Bonferroni correction, and rs values were considered significant at adjusted p < 0.01.

RESULTS

Neutral GSLs at first glance

The initial analysis of isolated neutral GSLs from MDCK II cells using TLC followed by sugar staining with orcinol revealed a heterogeneous pattern comprising minor quantities of monohexosylceramides, dihexosylceramides, trihexosylceramides, and tetrahexosylceramides and a prevalent pentahexosylceramide (Fig. 1). From what we know of previous publications, the MHC fraction of MDCK cells should contain glucosylceramide (GlcCer) and galactosylceramide (GalCer) with variable relative content (65, 6769), although an in-depth mass spectrometric investigation has not been performed so far. TLC separation of the dihexosylceramide suggests lactosylceramide (Lc2Cer) as the most likely structure. The trihexosylceramides and tetrahexosylceramides are expected to represent globo-series Gb3Cer and Gb4Cer, respectively, and the pentahexosylceramide should correspond to Forssman GSL as the dominant GSL species of MDCK II cells, according to previous predictions (6567, 69, 70, 73), although detailed structural data are lacking for the pentahexosylceramide of MDCK II cells. The proposed globo-series GSLs of MDCK II cells cochromatograph with Gb3Cer and Gb4Cer of reference R1 (prepared from human erythrocytes) and reference R2 (prepared from mutton blood). The latter harbors Forssman GSL as the prevalent GSL with GalNAcα3GalNAcβ3Galα4Galβ4Glcβ1Cer pentahexosylceramide structure (not to be confused with Gb5Cer with Galβ3GalNAcβ3Galα4Galβ4Glcβ1Cer structure), in addition to Gb4Cer, Gb3Cer, and Lc2Cer. As shown for a representative scan of MDCK II GSLs in Fig. 1, the MHC amount to 20.6% intensity of orcinol-stained bands, followed by Lc2Cer with 18.8%, Gb3Cer with 10.6%, Gb4Cer with 8.1%, and Forssman GSL with 41.9% in the order according to their chromatographic separation from top to bottom. Double bands suggest FA heterogeneity of GSLs due to substitution of sphingosine with C24 and C16 FAs in the ceramide moieties of upper- and lower-band GSL species, respectively.

Fig. 1.

Fig. 1.

Orcinol-stained thin-layer chromatogram of neutral GSLs from MDCK II cells. Neutral GSLs corresponding to 1 × 106 cells were cochromatographed with 20 µg of neutral GSLs from human erythrocytes (reference R1) and 20 µg of neutral GSLs from mutton blood (reference R2). Neutral GSLs were separated in solvent 1, and semiquantification of orcinol-positive bands was done by densitometric scanning as shown by the corresponding scan. Relative values of a representative biological replicate are given as percentages of total neutral GSLs of MDCK II cells indicating major expression of proposed Forssman GSL.

MHCs

Separation of MHCs as borate complexes revealed clear separation of GlcCer in the upper and GalCer in the lower part of the chromatogram (Fig. 2A), which coseparate with GlcCer from human Gaucher’s spleen and GalCer from human brain, respectively. An almost equal relative content of GlcCer (50.2%) and GalCer (49.8%) was determined by densitometric quantification (average values from scans of four biological replicates). ESI MS of silica gel extracts from parallel runs provided evidence for GlcCer species with Cer (d18:1, C24:1/C24:0), Cer (d18:1, C22:0), and Cer (d18:1, C16:0) as the dominant GlcCer species (Fig. 2B), accompanied by less abundant C20:0 and C18:0 and traces of C26:1/C26:0 FA-carrying ceramides, all detected as monosodiated [M+Na]+ ions as listed in supplemental Table S1. MS analysis of the silica gel extract harboring the GalCer variants resulted in the identification of hydroxylated GalCer (d18:1, 24:1-OH/24:0-OH) as the major GalCer species over the nonhydroxylated GalCer (d18:1, C24:1/C24:0) pendant (Fig. 2C and supplemental Table S1). The same holds true for GalCer (d18:1, C22:0-OH), which was preferentially expressed by the cells when compared with nonhydroxylated GalCer (d18:1, C22:0). The situation was found to be inverse in the case of GalCer with short-chain FA showing highest abundance of GalCer (d18:1, C16:0) in comparison to minor GalCer (d18:1, C16:0-OH). The proposed structures of GlcCer and GalCer including observed ceramide heterogeneity and especially hydroxylation of respective FA were scrutinized by CID measurements as previously described for GlcCer and GalCer from human blood plasma (87) and are not further outlined here (data not shown). Collectively, GlcCer and GalCer differed in terms of the high degree of ceramide hydroxylation of GalCer, whereas GlcCer was not hydroxylated at all.

Fig. 2.

Fig. 2.

TLC separation of MHCs of MDCK II cells (A) and MS1 spectra of GlcCer (B) and GalCer (C). A: Lane a, reference GlcCer, 7 µg; lane b, neutral GSLs of MDCK II cells corresponding to 5 × 106 cells; lane c, reference GalCer, 10 µg. The frames in the orcinol-stained chromatogram (lane b) indicate the silica gel areas from which GlcCer and GalCer were extracted. B, C: Spectra of the MHCs were obtained after separation of GSLs as borate complexes in alkaline solvent 2 (see lane b in A) followed by extraction from the silica gel. The various GlcCer and GalCer species and coextracted phospholipids (*) were detected as sodiated [M+Na]+ ions in silica gel extracts from an unstained parallel chromatogram using ESI MS in the positive-ion mode. The dot (●) in the MS1 spectrum of GalCer (C) marks an ion, which could be attributed to a coeluted impurity from the silica gel of the TLC plate. MS data of GlcCer and GalCer are summarized in supplemental Table S1.

Neutral GSLs of MDCK II cells as receptors for Stx1a, Stx2a, and Stx2e

The preliminarily identified dihexosylceramide and globo-series neutral GSLs were confirmed by TLC immunostaining as shown in Fig. 3A and probed for their binding potential toward Stx subtypes Stx1a, Stx2a, and Stx2e as displayed in Fig. 3B. Polyclonal anti-Lc2Cer, anti-Gb3Cer, and anti-Gb4Cer antibodies bound to supposed Lc2Cer, Gb3Cer, and Gb4Cer, respectively, and the pentahexosylceramide was recognized by a monoclonal anti-Forssman GSL antibody (Fig. 3A). The GSLs appeared as double bands showing some tendency to split into triple bands due to separation of respective upper band in two distinguishable bands, clearly visible in Fig. 3A for Gb3Cer and the Forssman GSL. In either overlay binding assays of Gb3Cer and Gb4Cer an additional immunopositive band appeared below at position of a putative pentahexosylceramide and a hexahexosylceramide, which might represent disaccharide-elongated GSLs with Gb3Cer and Gb4Cer core structures (not further analyzed). The Stx1a and Stx2a subtypes both primarily recognized Gb3Cer. In addition, Stx1a exhibited clearly visible adhesion to Gb4Cer and a not-further-characterized dihexosylceramide separating at the position of Lc2Cer (Fig. 3B). Only trace positive bands were found for Stx2a regarding Gb4Cer and the putative dihexosylceramide. Importantly, Stx1a and Stx2a did not bind to Forssman GSL. This is in striking contrast to Stx2e subtype that bound to Forssman GSL, whereby Stx2e exhibited stronger interaction with Gb4Cer than with Gb3Cer (Fig. 3B). This promiscuous binding with distinct preference for Gb4Cer and singular binding toward Forssman GSL makes Stx2e unique among the various subtypes so far investigated, as previously reported (45). Detected heterogeneity of immunostained GSLs was proved by ESI MS, as shown below.

Fig. 3.

Fig. 3.

TLC overlay assay detection of neutral GSLs from MDCK II cells with antibodies (A) and identification of Stx GSL receptors using Stx1a, Stx2a, and Stx2e subtypes (B). A: GSL amounts applied for Gb3Cer and Gb4Cer detection correspond to 1 × 105 cells, and those for Lc2Cer and Forssman GSL detection are equivalent to 1 × 106 and 5 × 103 cells, respectively. B: GSL amounts employed for the Stx1a, Stx2a, and Stx2e TLC overlay assays correspond to 1 × 106 cells, respectively. GSLs were separated in solvent 1 for neutral GSLs (A, B) and bound primary anti-GSL antibodies as well as anti-Stx1 or anti-Stx2 antibodies (B) were visualized with AP-conjugated secondary antibodies and BCIP as the substrate.

Structures of Lc2Cer, Gb3Cer, Gb4Cer, and Forssman GSL from MDCK II cells

Individual GSL species were structurally characterized by ESI MS in the positive ion mode as monosodiated [M+Na]+ ions combined with CID.

Lc2Cer.

The collection of anti-Lc2Cer immunopositive dihexosylceramide species was found to encompass Lc2Cer variants with Cer (d18:1, C16:0) and Cer (d18:1, C24:1/C24:0) as the prevalent dihexosylceramide structures, with accompanying less abundant Lc2Cer (d18:1, C24:1-OH/C24:0-OH) as the only hydroxylated Lc2Cer species (Fig. 4A). In the order of decreasing signal intensities, we could identify further Lc2Cer molecules with ceramides containing sphingosine (d18:1) substituted with C22:0, C20:0, C26:1/C26:0, and C18:0 FA (for synopsis of structures, refer to supplemental Table S1).

Fig. 4.

Fig. 4.

MS1 spectra of Lc2Cer (A), Gb3Cer (B), Gb4Cer (C), and Forssman GSL (D) obtained from the neutral GSL fraction of MDCK II cells. Selected m/z regions portray the various lipoforms of Lc2Cer (A; m/z 875–1,035), Gb3Cer (B; m/z 1,035–1,205), Gb4Cer (C; m/z 1,225–1,405), and Forssman GSL (D; m/z 1,430–1,625). The acyl chains of the different GSL variants with variable FAs, ranging from C16 to C26, are linked to sphingosine (d18:1) in the ceramide moiety, and the signals of monosodiated [M+Na]+ species are assigned with their m/z values. The insets show the immunostained GSLs (see Fig. 1), which correspond to the MS1 spectrum of the respective GSL species. MS1 data of Lc2Cer are summarized in supplemental Table S1. MS1 data of Gb3Cer, Gb4Cer, and Forssman GSL are compiled in supplemental Table S2.

Gb3Cer.

The overview mass spectrum shown in Fig. 4B gives evidence for Gb3Cer structures with Cer (d18:1, C16:0) and Cer (d18:1, C24:1/C24:0) as the principal lipoforms, the latter Gb3Cer variant with attendant but less abundant hydroxylated Cer (d18:1, C24:1-OH/C24:0-OH). Minor Gb3Cer species were those with Cer (d18:1, C22:0), Cer (d18:1, C26:1/C26:0), Cer (d18:1, C20:0), and Cer (d18:1, C18:0) as lipid anchors, in the order from higher to lower signal intensities (for synopsis of structures refer to supplemental Table S2). As an example for CID verification of proposed structures an MS2 spectrum of Gb3Cer (d18:1, C24:1/C24:0) together with the auxiliary fragmentation scheme is provided in supplemental Fig. S1A.

Gb4Cer.

A very similar pattern of [M+Na]+ ions regarding lipid heterogeneity was obtained for Gb4Cer (Fig. 4C) when compared with the spectrum of Gb3Cer. Again, Cer (d18:1, C24:1/C24:0) [accompanied with low amounts of hydroxylated Gb4Cer (d18:1, C24:1-OH/C24:0-OH)] and Cer (d18:1, C16:0) were the prevalent lipid cores, followed by the presence of less abundant Gb4Cer with Cer (d18:1, C22:0) and Cer (d18:1, C26:1/C26:0) and minor Gb4Cer variants with Cer (d18:1, C20:0) and Cer (d18:1, C18:0) as lipid moieties (for synopsis of structures, refer to supplemental Table S2). As an example for CID verification of proposed structures, an MS2 spectrum of Gb4Cer (d18:1, C22:0) together with the corresponding fragmentation scheme is provided in supplemental Fig. S1B.

Forssman GSL.

Interestingly, GalNAcα3-elongated Gb4Cer, defined as the Forssman GSL, exhibited the same ceramide variability (Fig. 4D) as figured out for precursor Gb3Cer and Gb4Cer. Maximum ion abundancies were observed for Forssman GSLs with Cer (d18:1, C24:1/C24:0) and Cer (d18:1, C16:0), whereby the former ions were flanked with the corresponding hydroxylated Forssman GSLs with Cer (d18:1, C24:1-OH/C24:0-OH) ions. Further Forssman GSLs were minor variants with C22:0, C26:1/C26:0, C20:0, and C18:0 FAs in the respective ceramide portions as detected for Gb3Cer and Gb4Cer (for synopsis of structures refer to supplemental Table S2). As an example for CID verification of proposed structures MS2 spectra of Forssman GSL with Cer (d18:1, C24:1/C24:0) and Cer (d18:1, C16:0) are shown, together with explanatory fragmentation schemes, in Fig. 5A and Fig. 5B, respectively.

Fig. 5.

Fig. 5.

MS2 spectra and corresponding fragmentation schemes of antibody-detected Forssman GSL (d18:1, C24:1/C24:0) (A) and Forssman GSL (d18:1, C16:0) (B) from MDCK II cells. The singly charged [M+Na]+ precursor ions at m/z 1562.93/1564.93 of the Cer (d18:1, C24:1/C24:0) lipoforms (A) and those at m/z 1452.82 of the Cer (d18:1/C16:0) lipoform of the Forssman GSL (B) were selected from an MS1 spectrum of the neutral GSL fraction of MDCK II cells, which contains immunopositive Forssman GSL (see Fig. 3A). The positions of Forssman GSL species with C24:1/C24:0 FA (A) and C16:0 FA (B) are marked with arrowheads in the respective inserted TLC immunostain. Internal glycan fragments were assigned with numbers from 1 to 5: 1, Y2/B5 and Y3/B4 (m/z 347.08 for the C24 species and m/z 347.09 for the C16 species); 2, Y2/C5 and Y3/C4 (m/z 365.10 for both species); 3, Y4/B3 (m/z 388.11 for both species); 4, Y3/B5 (m/z 509.14 for both species); and 5, Y3/C5 (m/z 527.15 for both species).

Identification of cholesterol and phospholipids in DRM and non-DRM fractions

Supposed nonhomogenous lateral distribution of membrane lipids was investigated using DRMs and non-DRMs prepared from sucrose density gradient fractions after ultracentrifugation. This principle allows us to roughly differentiate between components of the liquid-ordered phase corresponding to DRM fractions and the more fluid liquid-disordered phase (surrounding medium in which microdomains can freely float), corresponding to the non-DRM fractions. Gradient fractions from four independent cell approaches of MDCK II cells were prepared, and the occurrence of the key membrane lipids cholesterol, SM, and PC in sucrose gradient fractions F1–F8 (from top to bottom) was investigated and is portrayed for the average values in Fig. 6.

Fig. 6.

Fig. 6.

Distribution of cholesterol (Chol) (A), SM (B), and PC (C) in sucrose density gradient fractions of MDCK II cells analyzed by TLC separation. Ultracentrifugation gradient fractions F1–F8 were numbered according to increasing sucrose content (5, 30, and 42.5%) from top (F1) to bottom (F8) and further grouped into top (F1–F3), intermediate (F4–F6), and bottom (F7 and F8) fractions. F1–F3 represent DRM, and F4–F8 non-DRM fractions. Phospholipids were quantified after TLC separation in solvent 3 and cholesterol in solvent 4 by densitometric scanning of separated bands. A: Cholesterol amounts are depicted as nanograms per 1 × 106 cells and as rounded percentages normalized to 100%. B, C: Values for SM and PC were obtained from lipid preparations corresponding to 5 × 106 cells, respectively, and are displayed as rounded percentage values normalized to 100%. The synopsis of cholesterol and phospholipid measurements from four independent biological replicates is provided in supplemental Table S3. Phospholipids of gradient fractions F2 (DRMs) and F7 (non-DRMs, bottom fraction) were further analyzed by MS (see Fig. 7).

Cholesterol.

Cholesterol was quantified as nanograms per 1 × 106 cells in the DRM fractions (F1–F3) and the non-DRM fractions (F4–F8), which were further subdivided into intermediate fractions (F4–F6) and bottom fractions (F7–F8), as demonstrated for four independent biological replicates in Fig. 6A. DRM fraction F2 exhibited on average, with 599 ng/106 cells, the highest cholesterol content, flanked by sizeable 200 ng/106 cells and minor 26 ng/106 cells in DRM-associated fraction F3 and F1, respectively. Notable quantities of cholesterol were found in bottom fractions F7 (308 ng/106 cells) and F8 (274 ng/106 cells), whereas intermediate fractions F4–F6 contained cholesterol amounts in the range between 22 and 55 ng/106 cells. Collectively, 53% of cholesterol was found in DRMs, preferentially in canonical DRM fraction F2 (38%), giving at least a hint for putative lipid raft association, and 47% distributed to the five non-DRM fractions (for synopsis of values, refer to supplemental Table S3).

SM.

A highly significant enrichment in DRMs was detected for SM, which showed an exceptional high relative content of 69% in classical DRM fraction F2, accompanied by 18% and 6% in DRM-related fractions F3 and F1, respectively, amounting in total to 93% (Fig. 6B). In contrast, only marginal amounts of SM were detected in non-DRM fractions (for list of values, refer to supplemental Table S3). Because SM is known as a truly reliable lipid raft marker and according to its peak content in DRM fraction F2, it is tempting to speculate about the association of SM with lipid rafts.

PC.

PC shows a balanced appearance in DRM fraction F2 (35% relative amount) and bottom fraction F7 (31% relative amount) along a scattered distribution to intermediate F4–F6, bottom F8, and the F2 adjacent fractions F1 and F3 (Fig. 6C). Although relevant concentrations were detectable in DRM fraction F2, its similar distribution pattern to fractions corresponding to the liquid-ordered and the liquid-disordered membrane phase may exclude PC as a marker for cellular microdomains of MDCK II cells.

Structural fine characterization of DRM and non-DRM phospholipids

The phospholipids of canonical DRM fraction F2 and fraction F7 as a typical non-DRM fraction from the bottom zone of the sucrose gradient were subjected to a detailed compositional analysis by ESI MS. TLC separation of phospholipids revealed PC and SM as major compounds of fraction F2, whereby the latter is marked with twin arrowheads (due to its appearance as double band), indicating SM as a DRM-specific phospholipid (Fig. 7A). Truncated (single-tailed) lyso-PC, which separates far below PC and slightly below SM, represents a characteristic compound of the bottom fractions and is marked with an arrowhead in the non-DRM fraction F7 indicating lyso-PC as a non-DRM-specific phospholipid (Fig. 7A).

Fig. 7.

Fig. 7.

Distribution of phospholipids to sucrose density gradient fractions of MDCK II cells (A) and mass spectra of phospholipids from DRM fraction F2 (B) and non-DRM fraction F7 (C). Gradient fractions (F1–F8) were prepared, and phospholipids were separated in solvent 3 as described in Fig. 6. The phospholipids PC, SM, and lyso-PC (A) were detected after TLC separation with molybdenum blue reagent in lipid extracts corresponding to 5 × 106 cells and matched to a phospholipid reference mixture (R3). The arrowheads point to SM (F2) and lyso-PC (F7 and F8) as specific markers of DRMs and non-DRMs, respectively. The ESI MS spectra (B, C) were recorded in the positive-ion mode, and phospholipids were preferentially detected as singly charged protonated [M+H]+ species and to less extent as sodium [M+Na]+ adducts. SM distributes preferably to DRM fraction F2 (B, highlighted in gray) and lyso-PC to non-DRM fractions as shown for bottom fraction F7 (C, highlighted in gray). PC distributes almost equally to DRM fraction F2 and non-DRM fraction F7.

Individual SM and PC molecules appeared exclusively as protonated [M+H]+ ions in the MS1 spectrum of the F2 fraction (Fig. 7B). Precisely, [M+H]+ ions at m/z 703.57 and 813.68/815.69, highlighted in gray, represent SM (d18:1, C16:0) and SM (d18:1, C24:1/C24:0), respectively. Ions of PC molecules at m/z 760.58 could be assigned to lipoform PC (34:1), which dominated the spectrum, followed by PC (36:2/36:1) at m/z 786.59/788.61 and PC (32:1) with m/z 732.55 in the order of detected intensities. PE was found to be a less abundant phospholipid species, with PE (36:1) and PE (38:2/38:1) lipoforms at m/z 746.58 and 772.61/774.61, respectively.

The most obvious difference for the F7 bottom fraction was the presence of lyso-PC (highlighted by grayed boxes in the spectrum) and complete lack of SM ions in this non-DRM fraction (Fig. 7C). Highly intense [M+H]+ ions at m/z 522.35, accompanied by minor sodiated [M+Na]+ ions with m/z 544.33, could be assigned to lyso-PC (18:1). The second detected lysophospholipid was lyso-PC (16:0) with a characteristic m/z value of 496.33, which was also undetectable in the DRM F2 fraction. Thus, the two lyso-PC variants could be identified as definite non-DRM markers, which were solely present in the liquid-disordered, but not in the liquid-ordered, phase of cell membranes of MDCK II cells. An additional difference observed in fraction F7, when compared with F2, was the increase in relative intensity of PC (36:2) [accompanied by loss of PC (36:1)] and concomitant relative decrease of PC (34:1), indicating opposing presence of these two phospholipids in the DRM and the non-DRM fraction and increase of saturation in PC species in the DRM fraction over the non-DRM fraction.

Identification of Stx GSL receptors in DRM and non-DRM fractions

Although being membrane compounds with rather low abundance among cholesterol and phospholipids in the outward-facing part of the bilayer of the plasma membrane, GSLs can be unequivocally determined in DRM and non-DRM fractions, as shown in Fig. 8.

Fig. 8.

Fig. 8.

Distribution of Stx receptors Gb3Cer (A), Gb4Cer (B), and Forssman GSL (C) in sucrose density gradient fractions of MDCK II cells analyzed by TLC immunostaining. Gradient fractions (F1–F8) were prepared and assigned as described in Fig. 6. GSLs were separated in solvent 1 and TLC immunostains of separated GSL extracts of fractions F1–F8 were performed with anti-Gb3Cer (A), anti-Gb4Cer (B), and anti-Forssman GSL antibody (C). Amounts of 2 and 0.2 µg of neutral GSLs from human erythrocytes (reference R1) were used as positive control in the anti-Gb3Cer (A) and the anti-Gb4Cer (B) TLC overlay assay, respectively. An amount of 0.2 µg of the neutral GSLs from mutton blood (reference R2; see Fig. 1) was applied for TLC immunodetection of the Forssman GSL. Immunostained GSLs were quantified by densitometric scanning, and relative quantities (percentage values) of individual chromatograms corresponding to 2.5 × 106 cells for detection of Gb3Cer and Gb4Cer (A, B) and being equivalent to 2 × 105 cells for detection of Forssman GSL (C) are shown.

Gb3Cer.

Antibody-mediated detection of the Stx receptor GSL Gb3Cer in gradient fractions exhibited clear DRM preference as exemplarily shown for one out of four biological replicates (Fig. 8A). The averaged values of relative quantities of Gb3Cer obtained from four biological replicates are displayed in a bar chart (Fig. 9A) and are summarized in supplemental Table S4. On an average, 86% of Gb3Cer distribute to grouped DRM fractions (F1–F3), 6% to intermediate fractions (F4–F6), and 8% to the bottom fractions (F7 and F8).

Fig. 9.

Fig. 9.

Distribution of Stx receptors Gb3Cer (A), Gb4Cer (B), and Forssman GSL (C) in sucrose density gradient fractions of MDCK II cells analyzed by TLC immunostaining. GSLs of the gradient fractions (F1–F8) were separated in solvent 1 and immunostained as described in preceding Fig. 8. GSLs were quantified by densitometric scanning of separated bands. Values for Gb3Cer and Gb4Cer were obtained from GSL preparations corresponding to 2.5 × 106 cells and those for Forssman GSL, being equivalent to 2 × 105 cells and are displayed as rounded percentage values normalized to 100%. The synopsis of Gb3Cer, Gb4Cer, and Forssman GSL from four independent biological replicates is provided in supplemental Table S4.

Gb4Cer.

An example out of four biological replicates of TLC immunostains of Gb4Cer in gradient fractions is shown in Fig. 8B, giving evidence for preferred presence of Gb4Cer in DRM fractions. The calculation of the average Gb4Cer distribution revealed 79% of Gb4Cer in DRM fractions F1–F3, 7% in intermediate fractions F4–F6, and 14% in the bottom fractions F7 and F8, indicating its preponderant occurrence in DRMs (supplemental Table S4)

Forssman GSL.

The antibody-mediated Forssman GSL detection in an exemplarily shown gradient distribution pattern demonstrates strict preference of this GSL to DRM fractions (Fig. 8C). Based on the calculation of the average values, Forssman GSL exhibits 79% distribution to DRMs and only 13% to intermediate fractions and remaining 8% to the bottom fractions (resumed in supplemental Table S4).

Statistics of DRM and non-DRM distribution of membrane lipids

The distribution of cholesterol, SM, PC, and GSLs to DRMs and non-DRMs was assessed more precisely by nonparametric statistical analysis using Spearman’s rank correlation coefficient rS. To find out relationships between the analyzed lipids, we assigned ranks to percentage values of the gradient fractions of cholesterol, SM, and PC (see supplemental Table S3) and of the GSLs Gb3Cer, Gb4Cer, and Forssman GSL (see supplemental Table S4), starting with rank number 1 for the highest value, followed by rank number 2 of the second highest value until rank number 8 that corresponds to the lowest value. By doing so, Gb3Cer, Gb4Cer, and Forssman GSL were found to correlate with the canonical lipid raft marker SM, as expected from their distribution profiles obtained from the sucrose gradient fractions for SM (Fig. 6B) and the three GSLs (Fig. 9). The calculated rank correlation coefficients of rS = 0.755 (P = 6.985 × 10−6) for Gb3Cer, rS = 0.609 (P = 2.564 × 10−3) for Gb4Cer, and rS = 0.724 (P = 3.463 × 10−5) for Forssman GSL versus SM suggests preferential colocalization of GSLs with SM tested at the 1% significance level. Similar but less pronounced, correlation coefficients of rS = 0.671 (P = 3.118 × 10−4) for Gb3Cer and rS = 0.644 (P = 8.392 × 10−4) for Forssman GSL versus cholesterol gave evidence for relationship between the membrane distribution of these two GSLs and cholesterol at the 1% significance level. Spearman rS = 0.714 (P = 5.462 × 10−5) for Gb4Cer and cholesterol was nearly the same as in comparison to SM. These data are not surprising from the distribution patterns of cholesterol (Fig. 6A) and GSLs (Fig. 9), which exhibited obvious relation in terms of high content of cholesterol and GSLs in the DRM fractions. On the other hand, a correlation coefficient of rS = 0.321 (P = 8.881 × 10−1) for cholesterol and SM and of rS = 0.397 (P = 2.953 × 10−1) for PC and SM exclude a correlation between these lipids. Thus, based on the cooccurrence of GSLs with SM and cholesterol in DRMs a lipid raft association can be statistically hypothesized for the Stx-binding GSLs Gb3Cer, Gb4­Cer, and Forssman GSL based on calculated correlation coefficients.

Cytotoxicity of Stx1a, Stx2a, and Stx2e toward MDCK II cells

MDCK II epithelial cells were exposed to increasing concentrations of Stxs from 1 fg/ml (10−6 ng/ml) up to 1 µg/ml (103 ng/ml) and compared concerning Stx-mediated cytotoxicity with Vero-B4 cells known as the Stx-sensitive epithelial cell line. MDCK II cells did not show any response upon exposure to the three tested Stx subtypes as shown in Fig. 10. No viability decrease could be determined after Stx1a treatment. By contrast, Stx1a-caused reduction in viability of Vero-B4 cells started at a toxin concentration of 0.1 ng/ml and dropped further down to 20% cell viability after treatment with 1 µg/ml, the highest toxin concentration applied (Fig. 10A). Stx2a did not exert any reduction in survival of MDCK II cells, but caused a significant decrease in viability toward Vero-B4 cells in the range between 10 ng/ml and 1 µg/ml, with 60% cell viability at the uppermost concentration used (Fig. 10B). MDCK II cells were also found being resistant toward Stx2e, whereas Vero-B4 cell survival decreased to 68% after treatment with 1 µg/ml toxin (Fig. 10C). In summary, MDCK II cells were resistant toward Stx1a, Stx2a, and Stx2e, even at high concentration of 1 µg/ml applied in cell culture assays.

Fig. 10.

Fig. 10.

Refractiveness of MDCK II cells toward Stxs. MDCK II cells were exposed to Stx1a (A), Stx2a (B), or Stx2e (C) with increasing toxin concentrations ranging from lowest concentration of 10−6 ng/ml to the highest concentration of 103 ng/ml. Stx susceptibility was determined in comparison to reference Vero-B4 cells known as Stx-sensitive cells. Viability measurements of six biological replicates are depicted as mean percentage values related to two untreated controls.

Immunofluorescence microscopic detection of Stx-binding GSLs

Subcellular localization of the Stx-binding receptor GSLs in MDCK II and Vero-B4 cells was performed by immunolabeling and subsequent imaging with confocal laser scanning microscopy. The ability of the microscope to excite and detect fluorophores within a thin section of the sample has allowed us to assess the distribution of the Stx-binding GSLs within the apical and basal plasma membrane as well as intracellularly as shown for representative areas of MDCK II and Vero-B4 cell cultures in Fig. 11A, B, respectively. The exposure of MDCK II cells to the three Stx subtypes revealed an extremely sparse distribution of hardly detectable Stx1a-, Stx2a-, or Stx2e-immunopositive foci on the apical cell surface in the vicinity of the cell nucleus (Fig. 11A, apical plane). Clearly clustered Stx-positive spots were visible on subcellular level enriched in the perinuclear area of MDCK II cells ranked with Stx2e > Stx1a > Stx2a (Fig. 11A, midplane). An almost homogeneous distribution of strong immunopositive clusters was detected on the basal cell surface in the order of Stx2e > Stx1a > Stx2a according to the observed decline in fluorescence intensity (Fig. 11A, basal plane). These findings suggest the prevalent occurrence of Stx-binding GSLs, which have been detected in the DRM fractions of MDCK II cells (see Figs. 8 and 9), in the basal plasma membrane. Moreover, absence of Stx-binding GSLs on the cell surface demonstrated by immunofluorescence microscopy could explain the refractiveness of MDCK II cells to the three Stx subtypes.

Fig. 11.

Fig. 11.

Immunofluorescence microscopic detection of Stx-binding GSLs in MDCK II (A) and Vero-B4 cells (B). The epithelial cell lines were grown in chamber slides and incubated with Stx1a, Stx2a, or Stx2e as indicated. Bound Stx1a and Stx2 subtypes were detected with anti-Stx1 and anti-Stx2 antibody, respectively, in conjunction with Alexa Fluor 488®-labeled secondary antibodies. Fluorescence imaging was performed for the apical cell surface (apical plane), on intracellular level (midplane) and at the basal cell surface (basal plane). The immunofluorescence micrographs merged with the DAPI stains of the nuclear DNA are shown.

A weakly fluorochrome-speckled apical cell surface of Vero-B4 was observed upon application of the three Stx subtypes (Fig. 11B, apical plane), indicating a low toxin accessibility being a little bit more pronounced for Stx1a when compared with Stx2a and Stx2e. Subcellular immunostaining with Stx2a revealed a significantly lower fluorescence intensity compared with higher intensity upon application of Stx1a and Stx2e, indicating also a more compact fluorescence in the perinuclear area in case of Stx1a and a more regular distribution in the cytosol in case of Stx2a (Fig. 11B, midplane). Among the three Stx subtypes, Stx1a exhibited the strongest interaction with the surface of the basal membrane of Vero-B4 cells, followed by Stx2a and Stx2e, which gave a moderate immunofluorescence stain (Fig. 11B, basal plane). In general, clusters of Stx-positive spots were more pronounced in Vero-B4 cells when compared with MDCK II cells. Whether the slightly higher cell-surface binding capacity of Stx1a among the applied three Stx subtypes toward its receptor GSLs on the apical plasma membrane could be the reason of the greater susceptibility of Vero-B4 cells toward Stx1a (see Fig. 10) remains questionable.

DISCUSSION

Two strains of MDCK cells, namely, MDCK I and II, have been found to exhibit strikingly different GSL compositions (65). While the MDCK I strain was characterized by main expression of MHCs besides dihexosylceramide and trixhexosylceramide, the MDCK II expressed in addition neutral GSLs belonging to the globo-series and Forssman GSL (6570, 73). Notably, binding sites for Stx (most likely the Stx receptor GSL Gb3Cer) could be induced by treatment of MDCK I cells with short-chain FAs like butyric acid or with the tumor promoter 12-O-tetradecanoylphorbol 13-acetate (99). This induction was found to be functional with respect to endocytosis and translocation of Stx to the cytosol (99). Similarly, retroviral transfection of MDCK I cells with human mdr1 (cDNA coding for the P-glycoprotein multidrug resistance efflux pump) resulted in major increase of Gb3Cer and a 105- to 106-fold elevated cell sensitivity to verocytotoxin (synonymous with Stx1a) accompanied by the rise of the Gb3Cer lipoforms carrying C16 and C18 FA (100). Although MDCK II cells have been known for a long time to express Stx-binding globo-series GSLs and dominant Forssman GSL, the structures of GSLs and phospholipids as well as their localization in membrane microdomains, especially of supposed Stx-binding GSLs, have not yet been fully elucidated for MDCK II cells in previous studies (6570, 73). We filled this gap of knowledge by a comprehensive compositional analysis of GSLs and phospholipids of MDCK II cells (as further discussed below).

The functional importance of GlcCer and GalCer for shaping of the polarity of epithelial cells has been shown for MDCK I and II cells, indicating that the observed different ratios of GlcCer and GalCer synthesis in epithelial tissues may regulate the intracellular transport and localization of GSLs (101, 102). We could show for the MDCK II cells analyzed by us striking differences in the ceramide moieties of GlcCer and GalCer, which have not been described before. GlcCer and GalCer differed in terms of the marked hydroxylation of GalCer, whereas GlcCer did not show this modification. Hydroxylated GalCer (d18:1, 24:1-OH/24:0-OH) as the major GalCer species and GalCer (d18:1, C22:0-OH) dominated over the nonhydroxylated GalCer (d18:1, C24:1/C24:0) and GalCer (d18:1, C22:0) species, respectively. However, the question of whether this pronounced ceramide heterogeneity might have an influence on lipid sorting in the Golgi apparatus and subcellular localization of GSLs remains open and might be an aspect for future investigations. Regarding the ratios of GlcCer (50.2%) and GalCer (49.8%) determined by us for MDCK II cells, similar relative amounts were recently detected for mouse kidney with 58% GlcCer and 42% GalCer (103). For analytical reasons, it is noteworthy to mention the elegant novel hydrophilic interaction chromatography-based LC/MS2 method, which allowed for separation, identification, and quantification of endogenous GlcCer and GalCer stereoisomers (103). This technique might be extremely helpful for unequivocal differentiation between GlcCer and largely coseparating GalCer of cells like invariant natural killer T cells, which were found to express GlcCer as the sole neutral GSL (104).

Preliminary studies of several research groups working with MDCK II cells have provided evidence for the presence of globo-series neutral GSLs and Forssman GSL in kidney epithelial MDCK II cells (6570, 73), but their structures have not been elucidated so far. Our comprehensive structural characterization revealed Gb3Cer and Gb4Cer lipoforms with ceramide moieties mainly composed of C24:1/C24:0 or C16:0 FA and sphingosine (d18:1) in MDCK II cells being comparable to those previously found in monkey Vero-B4 kidney (46) and human Caco-2 and HCT-8 colon epithelial cell lines (74). Furthermore, the most prominent Gb3Cer and Gb4Cer lipoforms of canine kidney (MDCK II), monkey kidney (Vero-B4), and human colon epithelial cell lines (Caco-2 and HCT-8) resemble those of human brain and glomerular microvascular endothelial cell lines (75, 105, 106), as well as primary human cerebral (107) and primary human renal endothelial cells (108), whereby the latter may represent the major targets in human STEC infections (47, 51). In the MS2 spectra of all neutral GSLs of MDCK II cells analyzed by us, inspected signals at m/z 292.30 with abundances ranging from 3% to 24% relative to the peaks of the W″ ions of sphingosine (d18:1) at m/z 264.27 were detected. These signals might derive from secondary fragment ions of sphingosine (d20:1). However, if, e.g., m/z 1,452.84 (around 12% m/z 292.30 in MS2) corresponds to a mixture of Forssman GSL (d18:1, C16:0) and Forssman GSL (d20:1, C14:0), an additional peak at m/z 1,424.81 for Forssman GSL (d18:1, C14:0) would have been expected, which was not at all observed. In addition, corresponding species neither of Lc2Cer, Gb3Cer, nor Gb4Cer were detected, which makes the assignment of m/z 292.30 to W″ of sphingosine (d20:1) at least debatable. Because this point is not yet clarified and is beyond the scope of this investigation, the main compounds bearing sphingosine (d18:1) are presented in the figures and listed in the tables. Anyway, the biological function of this ceramide variability is largely unknown, although differential binding of Stxs to the various Gb3Cer lipoforms may indicate a significant role in the eventual pathogenic outcome of renal glomeruli restricted hemolytic uremic syndrome caused by STEC infections (109, 110). Importantly, the unsaturation level of Gb3Cer acyl chains has been shown to have a drastic impact on lipid bilayer properties and phase behavior. For instance, binding of the Stx B-subunit to a bilayer harboring Gb3Cer with saturated acyl chains did not lead to the formation of tubular invaginations, whereas invagination occurs for unsaturated Gb3Cer (111113). Furthermore, Gb3Cer with long acyl chains from one leaflet can interdigitate into the opposing leaflet and lead to significant bilayer rigidification and immobilization of the lipid tails (114). Moreover, the lipid environment and Gb3Cer acyl chain structure impact carbohydrate conformation suggesting broad implications for GSL macromolecule recognition and ligand binding (115). The major difference when compared with the various endothelial and epithelial cells analyzed so far by us was the uncommon high rate of specific FA hydroxylation of Lc2Cer, Gb3Cer, Gb4Cer, and Forssman GSL of MDCK II cells, which was found to be restricted to the long-chain C24:1/C24:0 FAs. Interestingly, this constraint was not observed for GalCer, where C16:0-OH and C22:0-OH were detected in addition to C24:1-OH- and C24:0-OH-carrying GalCer species. It is tempting to speculate that hydroxylation of the Stx receptors Gb3Cer, Gb4Cer. and Forssman GSL might influence the toxin–cell interaction, because increased binding of verotoxins to hydroxylated C22 FA-containing GSL was reported by Binnington et al. (116).

Forssman GSL, the prevalent neutral GSL of MDCK II cells, and Gb5Cer, which has been previously detected in Vero-B4 cells (46), represent structures not expressed by human endothelial and human epithelial cells. Both GSLs do not interact with human pathogenic Stx1a and Stx2a, whereas animal pathogenic Stx2e, the causative virulence factor of pig edema disease released by swine pathogenic STEC, has been shown to promiscuously bind to Gb5Cer of Vero-B4 cells (46) and to Forssman GSL (45). The binding to Forssman GSL, in addition to Gb3Cer and Gb4Cer, is shown in this study for MDCK II cells. The biological impact of binding of the swine-pathogenic Stx2e to these two pentahexosylceramides is unknown. Functionally, Forssman GSL plays a key role in apical and basal membrane sorting of MDCK II cells (66, 117), and the interaction of Forssman GSL with galectin-9 is important for polarizing MDCK cells (118).

Beside the detailed structures of the Stx receptors Gb3­Cer, Gb4Cer, and Forssman GSL of MDCK II cells, we provide in this study data on their occurrence in DRMs, which are commonly used as model membranes to explore hypothetical association of membrane constituents with lipid rafts (17). This has been previously shown for certain lipids and proteins using MDCK II cells. In particular, MDCK II cells were the study object for elucidation of sorting of glycosylphosphatidyl inositol-anchored proteins to GSL-enriched membrane subdomains (6769) with focus on the characterization of proteins in DRM complexes (70, 119) or to follow sorting of newly synthesized galactosphingolipids to the cell surface (102). Preliminary compositional analysis of neutral GSLs from MDCK II cell-derived DRMs revealed the presence of MHCs (GlcCer and GalCer, collectively named as cerebrosides), dihexosylceramide (Lc2Cer), trihexosylceramide and tetrahexosylceramide (suggested Gb3Cer and Gb4Cer), as well as proposed Forssman GSL (6770, 72). Focusing on the Stx-binding GSLs Gb3Cer and Gb4Cer (holds for Stx1a, Stx2a, and Stx2e) and Forssman GSL (holds for Stx2e), we could show their preferred distribution to DRM fractions F1–F3 and concomitant codistribution with cholesterol and SM, which are commonly considered as classical lipid raft markers along with hypothetical association of the Stx receptor GSLs with microdomains. Such association of Gb3Cer, Gb4­Cer, and Forssman GSL might be of functional importance to Stx-mediated cytotoxicity, because the organization of GSLs, including Gb3Cer, into lipid rafts has been reported to be central to the pathology (kidney failure) of STEC infection (109, 110).

Clustering of extracellular proteins on the plasma membrane is required to perform specific cellular functions such as signaling and endocytosis (120). Membrane-mediated clustering originates from the membrane’s physical properties such as line tension, lipid depletion, and membrane curvature as well as additional attractive forces that arise from protein-induced perturbation of a membrane’s fluctuation (120). In its initial formulation (121), the lipid raft concept suggested that mixtures of certain amphipathic molecules phase-separate into nanodomains, which coexist in thermodynamic equilibrium with the bulk membrane (120). Multicomponent lipid membranes have the capacity to form domains associated with the liquid-ordered (lo)–liquid-disordered (ld) coexistence (120), and many cell membranes have lipid compositions that are close to lold coexistence in equilibrium driven by lipid chain melting and cholesterol (120, 122, 123). Differences in molecular packing of the raft and bulk membrane lipids drive the phase separation, whereby proteins directly influence the distribution of lipid rafts (124) and contribute to the stabilization of supramolecular protein–lipid raft assemblies that accomplish certain biological functions (12, 31, 125). Proteins can induce disk-like lipid nanodomains, and Stx represents an example for macroscopic phase separation and most likely also nanoscopic domain formation. The study of Stx has led to the proposal of the GlycoLipid–Lectin hypothesis including the following principal steps: receptor binding and toxin clustering at the plasma membrane, the formation of membrane invaginations and tubular endocytic pits, scission of these invaginations to form endocytic carriers, and their intracellular trafficking to endosomes and the retrograde route (126). Stx clusters readily suggesting a membrane-mediated mechanism that drives toxin molecules together as shown for interaction on model membranes (111) and on cells (127). Binding of Stx to Gb3Cer results in a small increment of local curvature, whereby several Stx molecules create a tubular membrane invagination that drives toxin entry into the cell (128), which then leads to the formation of tubular endocytic pits according to the GlycoLipid–Lectin hypothesis (126). Thus, the functional importance of clustering of GSLs in lipid rafts regarding Stx-mediated effects has been impressively shown in these shortly discussed studies. Data obtained from DRM investigations, although being aware that DRMs and lipid rafts are different things (129, 130), can provide some information on how intrinsic properties of lipids (and proteins) that are found in DRM fractions influence their interaction among each other and with the used detergent. It seems possible therefore (or is even likely) that properties, which lead to the association of certain classes of lipids with DRMs, are also relevant for their biological functions as raft lipids (129, 131).

In our study, additional emphasis was placed on analyzing the phospholipids of the DRM and non-DRM fractions. Mass-spectrometric analysis of MDCK II cell-derived gradient fractions revealed prevalence of SM [more precisely SM (d18:1, C16:0) and SM (d18:1, C24:1/C24:0)] in DRM fraction F2 and complete lack of this sphingolipid in the non-DRM fractions. In contrast to this, lyso-PC [more precisely lyso-PC (16:0) and lyso-PC (18:1)] was identified as a marker of the non-DRM bottom fractions F7 and F8. The reverse distribution of SM and lyso-PC is not a unique feature of MDCK II cells, because a very similar phospholipid assembly of DRM and non-DRM fractions has been described previously by us for human leukocyte-derived Raji (B cell) and THP-1 (monocyte) cell lines (82), human endothelial (107, 108) as well as monkey Vero-B4 cells (46). The degree of saturation in PC species was enhanced in the DRM fraction over the non-DRM fraction, i.e., the relative ion intensities of PC (34:1) and PC (36:1) were significantly higher in the mass spectrum of DRM fraction F2 than in F7 and concomitantly accompanied by an increase of ion intensities of PC (34:2) and PC (36:2) in the F7 fraction.

The susceptibility toward Stx1a, Stx2a, and Stx2e subtypes has been, to the best of our knowledge, hitherto unknown for MDCK II cells. The MDCK II strain used in our study was resistant to the treatment with human-pathogenic Stx1a and Stx2a, as well as swine-pathogenic Stx2e when compared with sensitive Vero-B4 cells. The results suggest that the cellular content of Stx receptor GSLs and their biochemical detection in DRM preparations are insufficient to predict cellular sensitivity toward the various Stx subtypes. Importantly, Stx-binding GSLs were virtually undetectable on the apical cell surface of MDCK II cells using immunofluorescence confocal laser scanning microscopy. This could be the most plausible reason for resistance of MDCK II cells toward Stxs, although masking of GSLs by other membrane compounds that might hamper access of Stxs cannot be excluded. A further hypothetical explanation could be that cholesterol may mask cell membrane GSLs (132) or induce a tilt in the GSL headgroups (133), rendering Stx receptor GSL-positive cells refractory to the cytotoxic action of Stxs. Another explanation could be different endocytosis rates and/or intracellular trafficking routes of the three Stx subtypes, which may occur in MDCK II and Vero-B4 cells. However, these interpretations are highly speculative at this stage of research, and the reason for the phenomenon of Stx-resistance despite presence of Stx-binding GSLs in the basal plasma membrane and the perinuclear space of MDCK II cells, remains to be determined in future research projects. Actually, to the best of our knowledge, it has never been tested whether Stxs can inhibit protein biosynthesis in MDCK II cells and it remains unknown, whether cells survive despite an inhibition of protein biosynthesis or whether the toxins fail to be targeted to the cytosol and thereby to modify ribosomes. Interestingly, Stx from Shigella dysenteriae has been shown in previous studies to inhibit protein biosynthesis in human epithelial cell lines and MDCK-I cells (134).

Supplementary Material

Supplemental Data

Acknowledgments

The authors thank Dagmar Mense, Nikola Skutta, and Ralph Fischer for excellent technical assistance. J.M. thanks Dr. Ulf Bethke (Miltenyi Biotec GmbH, Bergisch-Gladbach, Germany) for the monoclonal anti-Forssman GSL antibody, which he produced as a PhD student more than 30 years ago. This antibody has been stored since this time in the deep freezer and is still working in TLC overlay and other immunodetection assays. J.M. dedicates this paper to his mother, Gisela Müthing, who passed away on 28th March 2018 after short serious illness at the age of 91 while this work was in progress.

Footnotes

Abbreviations:

AP
alkaline phosphatase
BCIP
5-bromo-4-chloro-3-indolyl phosphate
CID
collision-induced dissociation
DRM
detergent-resistant membrane
Gb3Cer
globotriaosylceramide
Gb4Cer
globotetraosylceramide
Gb5Cer
globopentaosylceramide
GSL
glycosphingolipid
Lc2Cer
lactosylceramide
MDCK II
Madin-Darby canine kidney II
MHC
monohexosylceramide
MS
mass spectrometry
PC
phosphatidylcholine
PE
phosphatidylethanolamine
STEC
Stx-producing Escherichia coli
Stx
Shiga toxin

This work was supported by grants from the Bundesministerium für Bildung und Forschung (German Federal Ministry of Education and Research); InfectControl 2020 Grant TFP-TV8-AS12, ref. no. 03ZZ0802H; and InfectControl 2020 Innovative Reduktion multi-resistenter Infektionserreger und Etablierung einer Next-Generation-Sequencing basierten molekularen Surveillance (IRMRESS) ref. no. 03ZZ0805B; with assistance from Deutsches Zentrum für Infektionsforschung (German Center for Infection Research) Grant TTU 06.801; and conducted under the umbrella of the Interdisciplinary Center for Clinical Research Münster Projects Müth2/021/15 (J.M.) and Me2/010/16 (A.M. and H.K.).

[S]

The online version of this article (available at http://www.jlr.org) contains a supplement.

REFERENCES

  • 1.Levery S. B. 2005. Glycosphingolipid structural analysis and glycosphingolipidomics. Methods Enzymol. 405: 300–369. [DOI] [PubMed] [Google Scholar]
  • 2.Müthing J., and Distler U.. 2010. Advances on the compositional analysis of glycosphingolipids combining thin-layer chromatography with mass spectrometry. Mass Spectrom. Rev. 29: 425–479. [DOI] [PubMed] [Google Scholar]
  • 3.Kolter T. 2011. A view on sphingolipids and disease. Chem. Phys. Lipids. 164: 590–606. [DOI] [PubMed] [Google Scholar]
  • 4.Yu R. K., Nakatani Y., and Yanagisawa M.. 2009. The role of glycosphingolipid metabolism in the developing brain. J. Lipid Res. 50(Suppl): S440–S445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lingwood D., and Simons K.. 2010. Lipid rafts as a membrane-organizing principle. Science. 327: 46–50. [DOI] [PubMed] [Google Scholar]
  • 6.Merrill A. H., Jr. 2011. Sphingolipid and glycosphingolipid metabolic pathways in the era of sphingolipidomics. Chem. Rev. 111: 6387–6422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Jennemann R., and Gröne H. J.. 2013. Cell-specific in vivo functions of glycosphingolipids: lessons from genetic deletions of enzymes involved in glycosphingolipid synthesis. Prog. Lipid Res. 52: 231–248. [DOI] [PubMed] [Google Scholar]
  • 8.Head B. P., Patel H. H., and Insel P. A.. 2014. Interaction of membrane/lipid rafts with the cytoskeleton: impact on signaling and function: membrane/lipid rafts, mediators of cytoskeletal arrangement and cell signaling. Biochim. Biophys. Acta. 1838: 532–545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Russo D., Parashuraman S., and D’Angelo G.. 2016. Glycosphingolipid-protein interaction in signal transduction. Int. J. Mol. Sci. 17: E1732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kopitz J. 2017. Lipid glycosylation: a primer for histochemists and cell biologists. Histochem. Cell Biol. 147: 175–198. [DOI] [PubMed] [Google Scholar]
  • 11.Pike L. J. 2009. The challenge of lipid rafts. J. Lipid Res. 50(Suppl): S323–S328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Simons K., and Gerl M. J.. 2010. Revitalizing membrane rafts: new tools and insights. Nat. Rev. Mol. Cell Biol. 11: 688–699. [DOI] [PubMed] [Google Scholar]
  • 13.Lingwood C. A. 2011. Glycosphingolipid functions. Cold Spring Harb. Perspect. Biol. 3: a004788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sonnino S., and Prinetti A.. 2013. Membrane domains and the “lipid raft” concept. Curr. Med. Chem. 20: 4–21. [PubMed] [Google Scholar]
  • 15.Sonnino S., Prinetti A., Mauri L., Chigorno V., and Tettamanti G.. 2006. Dynamic and structural properties of sphingolipids as driving forces for the formation of membrane domains. Chem. Rev. 106: 2111–2125. [DOI] [PubMed] [Google Scholar]
  • 16.Gupta G., and Surolia A.. 2010. Glycosphingolipids in microdomain formation and their spatial organization. FEBS Lett. 584: 1634–1641. [DOI] [PubMed] [Google Scholar]
  • 17.London E., and Brown D. A.. 2000. Insolubility of lipids in Triton X-100: physical origin and relationship to sphingolipid/cholesterol membrane domains (rafts). Biochim. Biophys. Acta. 1508: 182–195. [DOI] [PubMed] [Google Scholar]
  • 18.Eggeling C., Ringemann C., Medda R., Schwarzmann G., Sandhoff K., Polyakova S., Belov V. N., Hein B., von Middendorff C., Schönle A., et al. 2009. Direct observation of the nanoscale dynamics of membrane lipids in a living cell. Nature. 457: 1159–1162. [DOI] [PubMed] [Google Scholar]
  • 19.Klotzsch E., and Schütz G. J.. 2012. A critical survey of methods to detect plasma membrane rafts. Philos. Trans. R. Soc. Lond. B Biol. Sci. 368: 20120033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Suzuki K. G. N., Ando H., Komura N., Fujiwara T. K., Kiso M., and Kusumi A.. 2017. Development of new ganglioside probes and unraveling of raft domain structure by single-molecule imaging. Biochim. Biophys. Acta. 1861: 2494–2506. [DOI] [PubMed] [Google Scholar]
  • 21.Lingwood D., and Simons K.. 2007. Detergent resistance as a tool in membrane research. Nat. Protoc. 2: 2159–2165. [DOI] [PubMed] [Google Scholar]
  • 22.Karlsson K. A. 1989. Animal glycosphingolipids as membrane attachment sites for bacteria. Annu. Rev. Biochem. 58: 309–350. [DOI] [PubMed] [Google Scholar]
  • 23.Bomsel M., and Alfsen A.. 2003. Entry of virsues through the epithelial barrier: pathogenic trickery. Nat. Rev. Mol. Cell Biol. 4: 57–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Smith D. C., Lord J. M., Roberts L. M., and Johannes L.. 2004. Glycosphingolipids as toxin receptors. Semin. Cell Dev. Biol. 15: 397–408. [DOI] [PubMed] [Google Scholar]
  • 25.Roche N., Ilver D., Ångström J., Barone S., Telford J. L., and Teneberg S.. 2007. Human gastric glycosphingolipids recognized by Helicobacter pylori vacuolating cytotoxin VacA. Microbes Infect. 9: 605–614. [DOI] [PubMed] [Google Scholar]
  • 26.Madar Johansson M., Coddens A., Benktander J., Cox E., and Teneberg S.. 2014. Porcine intestinal glycosphingolipids recognized by F6-fimbriated enterotoxigenic Escherichia coli. Microb. Pathog. 76: 51–60. [DOI] [PubMed] [Google Scholar]
  • 27.Lencer W. I., and Saslowsky D.. 2005. Raft trafficking of AB5 subunit bacterial toxins. Biochim. Biophys. Acta. 1746: 314–321. [DOI] [PubMed] [Google Scholar]
  • 28.Ewers H., and Helenius A.. 2011. Lipid-mediated endocytosis. Cold Spring Harb. Perspect. Biol. 3: a004721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Cho J. A., Chinnapen D. J., Aamar E., te Welscher Y. M., Lencer W. I., and Massol R.. 2012. Insights on the trafficking and retro-translocation of glycosphingolipid-binding bacterial toxins. Front. Cell. Infect. Microbiol. 2: 51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Aigal S., Claudinon J., and Römer W.. 2015. Plasma membrane reorganization: A glycolipid gateway for microbes. Biochim. Biophys. Acta. 1853: 858–871. [DOI] [PubMed] [Google Scholar]
  • 31.Johannes L., Wunder C., and Shafag-Zadah M. Glycolipids and lectins in endocytic uptake processes. J. Mol. Biol. Epub ahead of print. October 27, 2016; 10.1016/j.jmb.2016.10.027. [DOI] [PubMed] [Google Scholar]
  • 32.Johannes L., and Römer W.. 2010. Shiga toxins—from cell biology to biomedical applications. Nat. Rev. Microbiol. 8: 105–116. [DOI] [PubMed] [Google Scholar]
  • 33.Sandvig K., Bergan J., Dyve A. B., Skotland T., and Torgersen M. L.. 2010. Endocytosis and retrograde transport of Shiga toxin. Toxicon. 56: 1181–1185. [DOI] [PubMed] [Google Scholar]
  • 34.Sandvig K., Bergan J., Kavaliauskiene S., and Skotland T.. 2014. Lipid requirements for entry of protein toxins into cells. Prog. Lipid Res. 54: 1–13. [DOI] [PubMed] [Google Scholar]
  • 35.Tarr P. I., Gordon C. A., and Chandler W. L.. 2005. Shiga toxin-producing Escherichia coli and haemolytic uraemic syndrome. Lancet. 365: 1073–1086. [DOI] [PubMed] [Google Scholar]
  • 36.Bielaszewska M., Mellmann A., Zhang W., Köck R., Fruth A., Bauwens A., Peters G., and Karch H.. 2011. Characterisation of the Escherichia coli strain associated with an outbreak of haemolytic uraemic syndrome in Germany, 2011: a microbiological study. Lancet Infect. Dis. 11: 671–676. [DOI] [PubMed] [Google Scholar]
  • 37.Karch H., Denamur E., Dobrindt U., Finlay B. B., Hengge R., Johannes L., Ron E. Z., Tønjum T., Sansonetti P. J., and Vicente M.. 2012. The enemy within us: lessons from the 2011 European Escherichia coli O104:H4 outbreak. EMBO Mol. Med. 4: 841–848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Lee M. S., Koo S., Jeong D. G., and Tesh V. L.. 2016. Shiga toxins as multi-functional proteins: induction of host cellular stress responses, role in pathogenesis and therapeutic applications. Toxins (Basel). 8: E77 (Basel). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Bergan J., Dyve Lingelem A. B., Simm R., Skotland T., and Sandvig K.. 2012. Shiga toxins. Toxicon. 60: 1085–1107. [DOI] [PubMed] [Google Scholar]
  • 40.Brigotti M., Alfieri R., Sestili P., Bonelli M., Petronini P. G., Guidarelli A., Barbieri L., Stirpe F., and Sperti S.. 2002. Damage to nuclear DNA induced by Shiga toxin 1 and ricin in human endothelial cells. FASEB J. 16: 365–372. [DOI] [PubMed] [Google Scholar]
  • 41.Brigotti M., Arfilli V., Carnicelli D., Rocchi L., Calcabrini C., Ricci F., Pagliaro P., Tazzari P. L., Alfieri R. R., Petronini P. G., et al. 2013. Shiga toxin 1, as DNA repair inhibitor, synergistically potentiates the activity of the anticancer drug, mafosfamide, on Raji cells. Toxins (Basel). 5: 431–444. (Basel). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tesh V. L. 2012. Activation of cell stress response pathways by Shiga toxins. Cell. Microbiol. 14: 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Kavaliauskiene S., Dyve Lingelem A. B., Skotland T., and Sandvig K.. 2017. Protection against Shiga toxins. Toxins (Basel). 9: E44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Scheutz F., Teel L. D., Beutin L., Piérard D., Buvens G., Karch H., Mellmann A., Caprioli A., Tozzoli R., Morabito S., et al. 2012. Multicenter evaluation of a sequence-based protocol for subtyping Shiga toxins and standardizing Stx nomenclature. J. Clin. Microbiol. 50: 2951–2963. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Müthing J., Meisen I., Zhang W., Bielaszewska M., Mormann M., Bauerfeind R., Schmidt M. A., Friedrich A. W., and Karch H.. 2012. Promiscuous Shiga toxin 2e and its intimate relationship to Forssman. Glycobiology. 22: 849–862. [DOI] [PubMed] [Google Scholar]
  • 46.Steil D., Schepers C. L., Pohlentz G., Legros N., Runde J., Humpf H. U., Karch H., and Müthing J.. 2015. Shiga toxin glycosphingolipid receptors of Vero-B4 kidney epithelial cells and their membrane microdomain lipid environment. J. Lipid Res. 56: 2322–2336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Bielaszewska M., and Karch H.. 2005. Consequences of enterohemorrhagic Escherichia coli infection for the vascular endothelium. Thromb. Haemost. 94: 312–318. [DOI] [PubMed] [Google Scholar]
  • 48.Müthing J., Schweppe C. H., Karch H., and Friedrich A. W.. 2009. Shiga toxins, glycosphingolipid diversity, and endothelial cell injury. Thromb. Haemost. 101: 252–264. [PubMed] [Google Scholar]
  • 49.Melton-Celsa A., Mohawk K., Teel L., and O’Brien A.. 2012. Pathogenesis of Shiga toxin-producing Escherichia coli. Curr. Top. Microbiol. Immunol. 357: 67–103. [DOI] [PubMed] [Google Scholar]
  • 50.Motto D. 2012. Endothelial cells and thrombotic microangiopathy. Semin. Nephrol. 32: 208–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Bauwens A., Betz J., Meisen I., Kemper B., Karch H., and Müthing J.. 2013. Facing glycosphingolipid-Shiga toxin interaction: dire straits for endothelial cells of the human vasculature. Cell. Mol. Life Sci. 70: 425–457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Zoja C., Buelli S., and Morigi M.. 2010. Shiga toxin-associated hemolytic uremic syndrome: pathophsyiology of endothelial dysfunction. Pediatr. Nephrol. 25: 2231–2240. [DOI] [PubMed] [Google Scholar]
  • 53.Trachtman H., Austin C., Lewinski M., and Stahl R. A.. 2012. Renal and neurological involvement in typical Shiga toxin-associated HUS. Nat. Rev. Nephrol. 8: 658–669. [DOI] [PubMed] [Google Scholar]
  • 54.Petruzziello-Pellegrini T. N., Moslemi-Naeini M., and Marsden P. A.. 2013. New insights into Shiga toxin-mediated endothelial dysfunction in hemolytic uremic syndrome. Virulence. 4: 556–563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Hughes A. K., Stricklett P. K., Schmid D., and Kohan D. E.. 2000. Cytotoxic effect of Shiga toxin-1 on human glomerular epithelial cells. Kidney Int. 57: 2350–2359. [DOI] [PubMed] [Google Scholar]
  • 56.Girard M. C., Sacerdoti F., Rivera F. P., Repetto H. A., Ibarra C., and Amaral M. M.. 2015. Prevention of renal damage caused by Shiga toxin type 2: action of Miglustat on human endothelial and epithelial cells. Toxicon. 105: 27–33. [DOI] [PubMed] [Google Scholar]
  • 57.Márquez L. B., Araoz A., Repetto H. A., Ibarra F. R., and Silberstein C.. 2016. Effects of Shiga toxin 2 on cellular regeneration mechanisms in primary and three-dimensional cultures of human renal tubular epithelial cells. Microb. Pathog. 99: 87–94. [DOI] [PubMed] [Google Scholar]
  • 58.Takenouchi H., Kiyokawa N., Taguchi T., Matsui J., Katagiri Y. U., Okita H., Okuda K., and Fujimoto J.. 2004. Shiga toxin binding to globotriaosyl ceramide induces intracellular signals that mediate cytoskeleton remodeling in human renal carcinoma-derived cells. J. Cell Sci. 117: 3911–3922. [DOI] [PubMed] [Google Scholar]
  • 59.Lentz E. K., Leyva-Illades D., Lee M. S., Cherla R. P., and Tesh V. L.. 2011. Differential response of the human renal proximal tubular epithelial cell line HK-2 to Shiga toxin types 1 and 2. Infect. Immun. 79: 3527–3540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Porubsky S., Federico G., Müthing J., Jennermann R., Gretz N., Büttner S., Obermüller N., Jung O., Hauser I. A., Gröne E., et al. 2014. Direct acute tubular damage contributes to Shigatoxin-mediated kidney failure. J. Pathol. 234: 120–133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Terajima J., Iyoda S., Ohnishi M., and Watanabe H.. 2014. Shiga toxin (verotoxin)-producing Escherichia coli in Japan. Microbiol. Spectr. 2: 10.1128/microbiolspec.EHEC-0011-2013. [DOI] [PubMed] [Google Scholar]
  • 62.Davis T. K., van de Kar N. C., and Tarr P. I.. 2014. Shiga toxin/verocytotoxin-producing Escherichia coli infections: practical clinical perspectives. Microbiol. Spectr. 2: 10.1128/microbiolspec.EHEC-0025-2014. [DOI] [PubMed] [Google Scholar]
  • 63.Lingwood C. A., Law H., Richardson S., Petric M., Brunton J. L., de Grandis S., and Karmali M.. 1987. Glycolipid binding of purified and recombinant Escherichia coli produced verotoxin in vitro. J. Biol. Chem. 262: 8834–8839. [PubMed] [Google Scholar]
  • 64.Dukes J. D., Whitley P., and Chalmers A. D.. 2011. The MDCK variety pack: choosing the right strain. BMC Cell Biol. 12: 43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Hansson G. C., Simons K., and van Meer G.. 1986. Two strains of the Madin-Darby canine kidney (MDCK) cell line have distinct glycosphingolipid compositions. EMBO J. 5: 483–489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Nichols G. E., Lovejoy J. C., Borgman C. A., Sanders J. M., and Young W. W. Jr.. 1986. Isolation and characterization of two types of MDCK epithelial cell clones based on glycosphingolipid pattern. Biochim. Biophys. Acta. 887: 1–12. [DOI] [PubMed] [Google Scholar]
  • 67.Brown D. A., and Rose J. K.. 1992. Sorting of GPI-anchored proteins to glycolipid-enriched membrane subdomains during transport to the apical cell surface. Cell. 68: 533–544. [DOI] [PubMed] [Google Scholar]
  • 68.Fiedler K., Kobayashi T., Kurzchalia T. V., and Simons K.. 1993. Glycosphingolipid-enriched, detergent-insoluble complexes in protein sorting in epithelial cells. Biochemistry. 32: 6365–6373. [DOI] [PubMed] [Google Scholar]
  • 69.Zurzolo C., van’t Hof W., van Meer G., and Rodriguez-Boulan E.. 1994. VIP21/caveolin, glycosphingolipid clusters and the sorting of glycosylphosphatidylinositol-anchored proteins in epithelial cells. EMBO J. 13: 42–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Melkonian K. A., Chu T., Tortorella L. B., and Brown D. A.. 1995. Characterization of proteins in detergent-resistant membrane complexes from Madin-Darby canine kidney epithelial cells. Biochemistry. 34: 16161–16170. [DOI] [PubMed] [Google Scholar]
  • 71.Chigorno V., Palestini P., Sciannamblo M., Dolo V., Pavan A., Tettamanti G., and Sonnino S.. 2000. Evidence that ganglioside enriched domains are distinct from caveolae in MDCK II and human fibroblast cells in culture. Eur. J. Biochem. 267: 4187–4197. [DOI] [PubMed] [Google Scholar]
  • 72.Crespo P. M., von Muhlinen N., Iglesias-Bartolomé R., and Daniotti J. L.. 2008. Complex gangliosides are apically sorted in polarized MDCK cells and internalized by clathrin-independent endocytosis. FEBS J. 275: 6043–6056. [DOI] [PubMed] [Google Scholar]
  • 73.Gerl M. J., Sampaio J. L., Urban S., Kalvodova L., Verbavatz J. M., Binnington B., Lindemann D., Lingwood C. A., Shevchenko A., Schroder C., et al. 2012. Quantitative analysis of the lipidomes of the influenza virus envelope and MDCK cell apical membrane. J. Cell Biol. 196: 213–221. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Kouzel I. U., Pohlentz G., Schmitz J. S., Steil D., Humpf H. U., Karch H., and Müthing J.. 2017. Shiga toxin glycosphingolipid receptors in human Caco-2 and HCT-8 colon epithelial cell lines. Toxins (Basel). 9: E338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Betz J., Bielaszewska M., Thies A., Humpf H. U., Dreisewerd K., Karch H., Kim K. S., Friedrich A. W., and Müthing J.. 2011. Shiga toxin glycosphingolipid receptors in microvascular and macrovascular endothelial cells: differential association with membrane lipid raft microdomains. J. Lipid Res. 52: 618–634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Storck W., Meisen I., Gianmoena K., Pläger I., Kouzel I. U., Bielaszewska M., Haier J., Mormann M., Humpf H. U., Karch H., et al. 2012. Shiga toxin glycosphingolipid receptor expression and toxin susceptibility of human pancreatic ductal adenocarcinomas of differing origin and differentiation. Biol. Chem. 393: 785–799. [DOI] [PubMed] [Google Scholar]
  • 77.Ledeen R. W., and Yu R. K.. 1982. Gangliosides: structure, isolation, and analysis. Methods Enzymol. 83: 139–191. [DOI] [PubMed] [Google Scholar]
  • 78.Müthing J., Egge H., Kniep B., and Mühlradt P. F.. 1987. Structural characterization of gangliosides from murine T lymphocytes. Eur. J. Biochem. 163: 407–416. [DOI] [PubMed] [Google Scholar]
  • 79.Meisen I., Friedrich A. W., Karch H., Witting U., Peter-Katalinić J., and Müthing J.. 2005. Application of combined high-performance thin-layer chromatography immunostaining and nanoelectrospray ionization quadrupole time-of-flight tandem mass spectrometry to the structural characterization of high- and low-affinity binding ligands of Shiga toxin 1. Rapid Commun. Mass Spectrom. 19: 3659–3665. [DOI] [PubMed] [Google Scholar]
  • 80.Souady J., Soltwisch J., Dreisewerd K., Haier J., Peter-Katalinić J., and Müthing J.. 2009. Structural profiling of individual glycosphingolipids in a single thin-layer chromatogram by multiple sequential immunodetection matched with direct IR-MALDI-o-TOF mass spectrometry. Anal. Chem. 81: 9481–9492. [DOI] [PubMed] [Google Scholar]
  • 81.Chester M. A. 1998. IUPAC-IUB Joint Commission on Biochemical Nomenclature (JCBN). Nomenclature of glycolipids—recommendations 1997. Eur. J. Biochem. 257: 293–298. [DOI] [PubMed] [Google Scholar]
  • 82.Kouzel I. U., Pohlentz G., Storck W., Radamm L., Hoffmann P., Bielaszewska M., Bauwens A., Cichon C., Schmidt M. A., Mormann M., et al. 2013. Association of Shiga toxin glycosphingolipid receptors with membrane microdomains of toxin-sensitive lymphoid and myeloid cells. J. Lipid Res. 54: 692–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Saito T., and Hakomori S. I.. 1971. Quantitative isolation of total glycosphingolipids from animal cells. J. Lipid Res. 12: 257–259. [PubMed] [Google Scholar]
  • 84.Bauwens A., Bielaszewska M., Kemper B., Langehanenberg P., von Bally G., Reichelt R., Mulac D., Humpf H. U., Friedrich A. W., Kim K. S., et al. 2011. Differential cytotoxic actions of Shiga toxin 1 and Shiga toxin 2 on microvascular and macrovascular endothelial cells. Thromb. Haemost. 105: 515–528. [DOI] [PubMed] [Google Scholar]
  • 85.Distler U., Souady J., Hülsewig M., Drmić-Hofman I., Haier J., Friedrich A. W., Karch H., Senninger N., Dreisewerd K., Berkenkamp S., et al. 2009. Shiga toxin receptor Gb3Cer/CD77: tumor association and promising therapeutic target in pancreas and colon cancer. PLoS One. 4: e6813. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Hoffmann P., Hülsewig M., Duvar S., Ziehr H., Mormann M., Peter-Katalinić J., Friedrich A. W., Karch H., and Müthing J.. 2010. On the structural diversity of Shiga toxin glycosphingolipid receptors in lymphoid and myeloid cells determined by nanoelectrospray ionization tandem mass spectrometry. Rapid Commun. Mass Spectrom. 24: 2295–2304. [DOI] [PubMed] [Google Scholar]
  • 87.Schweppe C. H., Hoffmann P., Nofer J-R., Pohlentz G., Mormann M., Karch H., Friedrich A. W., and Müthing J.. 2010. Neutral glycosphingolipids in human blood: a precise mass spectrometry analysis with special reference to lipoprotein-associated Shiga toxin receptors. J. Lipid Res. 51: 2282–2294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Kouzel I. U., Pirkl A., Pohlentz G., Soltwisch J., Dreisewerd K., Karch H., and Müthing J.. 2014. Progress in detection and structural characterization of glycosphingolipids in crude lipid extracts by enzymatic phospholipid disintegration combined with thin-layer chromatography immunodetection and IR-MALDI mass spectrometry. Anal. Chem. 86: 1215–1222. [DOI] [PubMed] [Google Scholar]
  • 89.Bethke U., Müthing J., Schauder B., Conradt P., and Mühlradt P. F.. 1986. An improved semi-quantitative enzyme immunostaining procedure for glycosphingolipid antigens on high performance thin layer chromatograms. J. Immunol. Methods. 89: 111–116. [DOI] [PubMed] [Google Scholar]
  • 90.Bethke U., Kniep B., and Mühlradt P. F.. 1987. Forssman glycolipid, an antigenic marker for a major subpopulation of macrophages from murine spleen and peripheral lymph nodes. J. Immunol. 138: 4329–4335. [PubMed] [Google Scholar]
  • 91.Müthing J. 1998. TLC in structure and recognition studies of glycosphingolipids. In Methods in Molecular Biology. E. F. Hounsell, editor. Humana Press Inc., Totawa, NJ. 183–195. [DOI] [PubMed] [Google Scholar]
  • 92.Kean E. L. 1966. Separation of gluco- and galactocerebrosides by means of borate thin-layer chromatography. J. Lipid Res. 7: 449–452. [PubMed] [Google Scholar]
  • 93.Dittmer J. C., and Lester R. L.. 1964. A simple, specific spray for the detection of phospholipids on thin-layer chromatograms. J. Lipid Res. 5: 126–127. [PubMed] [Google Scholar]
  • 94.Müthing J., and Radloff M.. 1998. Nanogram detection of phospholipids on thin-layer chromatograms. Anal. Biochem. 257: 67–70. [DOI] [PubMed] [Google Scholar]
  • 95.Goswami S. K., and Frey C. F.. 1970. Manganous chloride spray reagent for cholesterol and bile acids on thin-layer chromatograms. J. Chromatogr. 53: 389–390. [DOI] [PubMed] [Google Scholar]
  • 96.Betz J., Dorn I., Kouzel I. U., Bauwens A., Meisen I., Kemper B., Bielaszewska M., Mormann M., Weymann L., Sibrowski W., et al. 2016. Shiga toxin of enterohaemorrhagic Escherichia coli directly injures developing human erythrocytes. Cell. Microbiol. 18: 1339–1348. [DOI] [PubMed] [Google Scholar]
  • 97.Distler U., Hülsewig M., Souady J., Dreisewerd K., Haier J., Senninger N., Friedrich A. W., Karch H., Hillenkamp F., Berkenkamp S., et al. 2008. Matching IR-MALDI-o-TOF mass spectrometry with the TLC overlay binding assay and its clinical application for tracing tumor-associated glycosphingolipids in hepatocellular and pancreatic cancer. Anal. Chem. 80: 1835–1846. [DOI] [PubMed] [Google Scholar]
  • 98.R Core Team. 2017. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Accessed at http://www.R-project.org.
  • 99.Sandvig K., Prydz K., Ryd M., and van Deurs B.. 1991. Endocytosis and intracellular transport of the glycolipid-binding ligand Shiga toxin in polarized MDCK cells. J. Cell Biol. 113: 553–562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Lala P., Ito S., and Lingwood C. A.. 2000. Retroviral transfection of Madin-Darby canin kidney cells with human mdr1 results in a major increase in globotriaosylceramide and 105- to 106-fold increased cell sensitivity to verocytotoxin. J. Biol. Chem. 275: 6246–6251. [DOI] [PubMed] [Google Scholar]
  • 101.van Genderen I., and van Meer G.. 1995. Differential targeting of glucosylceramide and galactosylceramide analogues after synthesis but not during transcytosis in Mardin-Darby canine kidney cells. J. Cell Biol. 131: 645–654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.van der Bijl P., Lopes-Cardozo M., and van Meer G.. 1996. Sorting of newly synthesized galactosphingolipids to the two surface domains of epithelial cells. J. Cell Biol. 132: 813–821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.von Gerichten J., Schlosser K., Lamprecht D., Morace I., Eckhardt M., Wachten D., Jennemann R., Gröne H. J., Mack M., and Sandhoff R.. 2017. Diastereomer-specific quantification of bioactive hexosylceramides from bacteria and mammals. J. Lipid Res. 58: 1247–1258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Popovic Z. V., Rabionet M., Jennemann R., Krunic D., Sandhoff R., Gröne H. J., and Porubsky S.. 2017. Glucosylceramide synthase is involved in development of invariant natural killer T cells. Front. Immunol. 8: 848. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Schweppe C. H., Bielaszewska M., Pohlentz G., Friedrich A. W., Büntemeyer H., Schmidt M. A., Kim K. S., Peter-Katalinić J., Karch H., and Müthing J.. 2008. Glycosphingolipids in vascular endothelial cells: relationship of heterogeneity in Gb3Cer/CD77 receptor expression with differential Shiga toxin 1 cytotoxicity. Glycoconj. J. 25: 291–304. [DOI] [PubMed] [Google Scholar]
  • 106.Betz J., Bauwens A., Kunsmann L., Bielaszewska M., Mormann M., Humpf H. U., Karch H., Friedrich A. W., and Müthing J.. 2012. Uncommon membrane distribution of Shiga toxin glycosphingolipid receptors in toxin-sensitive human glomerular microvascular endothelial cells. Biol. Chem. 393: 133–147. [DOI] [PubMed] [Google Scholar]
  • 107.Legros N., Dusny S., Humpf H. U., Pohlentz G., Karch H., and Müthing J.. 2017. Shiga toxin glycosphingolipid receptors and their lipid membrane ensemble in primary human blood-brain-barrier endothelial cells. Glycobiology. 27: 99–109. [DOI] [PubMed] [Google Scholar]
  • 108.Legros N., Pohlentz G., Runde J., Dusny S., Humpf H. U., Karch H., and Müthing J.. 2017b. Colocalization of receptors for Shiga toxins with lipid rafts in primary human renal glomerular endothelial cells and influence of D-PDMP on synthesis and distribution of glycosphingolipid receptors. Glycobiology. 27: 947–965. [DOI] [PubMed] [Google Scholar]
  • 109.Khan F., Proulx F., and Lingwood C. A.. 2009. Detergent-resistant globotriaosyl ceramide may define verotoxin/glomeruli-restricted hemolytic uremic syndrome pathology. Kidney Int. 75: 1209–1216. [DOI] [PubMed] [Google Scholar]
  • 110.Lingwood C. A., Binnington B., Manis A., and Branch D. R.. 2010. Globotriaosyl ceramide receptor function—Where membrane structure and pathology intersect. FEBS Lett. 584: 1879–1886. [DOI] [PubMed] [Google Scholar]
  • 111.Römer W., Berland L., Chambon V., Gaus K., Windschiegl B., Tenza D., Aly M. R., Fraisier V., Florent J. C., Perrais D., et al. 2007. Shiga toxin induces tubular membrane invaginations for its uptake into cells. Nature. 450: 670–675. [DOI] [PubMed] [Google Scholar]
  • 112.Windschiegl B., Orth A., Römer W., Berland L., Stechmann B., Bassereau P., Johannes L., and Steinem C.. 2009. Lipid reorganization induced by Shiga toxin clustering on planar membranes. PLoS One. 4: e6238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Schütte O. M., Ries A., Orth A., Patalag L. J., Römer W., Steinem C., and Werz D. B.. 2014. Influence of Gb3 glycosphingolipid differing in their fatty acid chain on the phase behaviour of solid supported membranes: chemical syntheses and impact of Shiga toxin binding. Chem. Sci. 5: 3104–3114. [Google Scholar]
  • 114.Pezeshkian W., Chaban V. V., Johannes L., Shillcock J., Ipsen J. H., and Khandelia H.. 2015. The effects of globotriaosylceramide tail saturation level on bilayer phases. Soft Matter. 11: 1352–1361. [DOI] [PubMed] [Google Scholar]
  • 115.Watkins E. B., Gao H., Dennison A. J., Chopin N., Struth B., Arnold T., Florent J. C., and Johannes L.. 2014. Carbohydrate conformation and lipid condensation in monolayers containing glycosphingolipid Gb3: influence of acyl chain structure. Biophys. J. 107: 1146–1155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Binnington B., Lingwood D., Nutikka A., and Lingwood C. A.. 2002. Effect of globotriaosyl ceramide fatty acid α-hydroxylation on the binding by verotoxin 1 and verotoxin 2. Neurochem. Res. 27: 807–813. [DOI] [PubMed] [Google Scholar]
  • 117.Butor C., Stelzer E. H., Sonnenberg A., and Davoust J.. 1991. Apical and basal Forssman antigen in MDCK II cells: a morphological and quantitative study. Eur. J. Cell Biol. 56: 269–285. [PubMed] [Google Scholar]
  • 118.Mishra R., Grzybek M., Niki T., Hirashima M., and Simons K.. 2010. Galectin-9 trafficking regulates apical-basal polarity in Madin-Darby canine kidney epithelial cells. Proc. Natl. Acad. Sci. USA. 107: 17633–17638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Sargiacomo M., Sudol M., Tang Z., and Lisanti M. P.. 1993. Signal transducing molecules and glycosyl-phosphatidylinositol-linked proteins form a caveolin-rich insoluble complex in MDCK cells. J. Cell Biol. 122: 789–807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Johannes L., Pezeshkian W., Ipsen J. H., and Shillcock J. C.. 2018. Clustering on membranes: fluctuations and more. Trends Cell Biol. 28: 405–415. [DOI] [PubMed] [Google Scholar]
  • 121.Simons K., and Ikonen E.. 1997. Functional rafts in cell membranes. Nature. 387: 569–572. [DOI] [PubMed] [Google Scholar]
  • 122.Polozov I. V., Bezrukov L., Gawrisch K., and Zimmerberg J.. 2008. Progressive ordering with decreasing temperature of the phospholipids of influenza virus. Nat. Chem. Biol. 4: 248–255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Kaiser H. J., Lingwood D., Levental I., Sampaio J. L., Kalvodova L., Rajendran L., and Simons K.. 2009. Order of lipid phases in model and plasma membranes. Proc. Natl. Acad. Sci. USA. 106: 16645–16650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Niemelä P. S., Miettinen M. S., Monticelli L., Hammaren H., Bjelkmar P., Murtola T., Lindahl E., and Vattulainen I.. 2010. Membrane proteins diffuse as dynamic complexes with lipids. J. Am. Chem. Soc. 132: 7574–7575. [DOI] [PubMed] [Google Scholar]
  • 125.Rossy J., Ma Y., and Gaus K.. 2014. The organisation of the cell membrane: do proteins rule lipids? Curr. Opin. Chem. Biol. 20: 54–59. [DOI] [PubMed] [Google Scholar]
  • 126.Johannes L. 2017. Shiga toxin—a model for glycolipid-dependent and lectin-driven endocytosis. Toxins (Basel). 9: 340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Pezeshkian W., Gao H., Arumugam S., Becken U., Bassereau P., Florent J. C., Ipsen J. H., Johannes L., and Shillcock J.. 2017. Mechanism of Shiga toxin clustering on membranes. ACS Nano. 11: 314–324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Pezeshkian W., Hansen A. G., Johannes L., Khandelia H., Shillcock J. C., Kumar P. B., and Ipsen J. H.. 2016. Membrane invagination induced by Shiga toxin B-subunit: from molecular structure to tube formation. Soft Matter. 12: 5164–5171. [DOI] [PubMed] [Google Scholar]
  • 129.Brown D. A. 2006. Lipid rafts, detergent-resistant membranes, and raft targeting signals. Physiology (Bethesda). 21: 430–439. [DOI] [PubMed] [Google Scholar]
  • 130.Morris R. J., Jen A., and Warley A.. 2011. Isolation of nano-meso scale detergent resistant membrane that has properties expected of lipid ‘rafts’. J. Neurochem. 116: 671–677. [DOI] [PubMed] [Google Scholar]
  • 131.Skotland T., Sandvig K., and Llorente A.. 2017. Lipids in exosomes: current knowledge and the way forward. Prog. Lipid Res. 66: 30–41. [DOI] [PubMed] [Google Scholar]
  • 132.Mahfoud R., Manis A., Binnington B., Ackerley C., and Lingwood C. A.. 2010. A major fraction of glycosphingolipids in model and cellular cholesterol-containing membranes is undetectable by their binding proteins. J. Biol. Chem. 285: 36049–36059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Lingwood D., Binnington B., Róg T., Vattulainen I., Grzybek M., Coskun Ü., Lingwood C. A., and Simons K.. 2011. Cholesterol modulates glycolipid conformation and receptor activity. Nat. Chem. Biol. 7: 260–262. [DOI] [PubMed] [Google Scholar]
  • 134.Melby E. L., Jacobsen J., Olsnes S., and Sandvig K.. 1993. Entry of protein toxins in polarized epithelial cells. Cancer Res. 53: 1755–1760. [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Data

Articles from Journal of Lipid Research are provided here courtesy of American Society for Biochemistry and Molecular Biology

RESOURCES