Sam J Moons1, Emiel Rossing1, Mathilde A C H Janssen1, Torben Heise1, Christian Büll2, Gosse J Adema3, Thomas J Boltje1. 1. Cluster of Molecular Chemistry, Institue for Molecules and Materials, Radboud University Nijmegen, Nijmegen 6525 AJ, The Netherlands. 2. Department of Biomolecular Chemistry, Institute for Molecules and Materials, Radboud University Nijmegen, Nijmegen 6525 GA, The Netherlands. 3. Radiotherapy & OncoImmunology Laboratory, Department of Radiation Oncology, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands.
Abstract
Sialic acids cap the glycans of cell surface glycoproteins and glycolipids. They are involved in a multitude of biological processes, and aberrant sialic acid expression is associated with several pathologies, such as cancer. Strategies to interfere with the sialic acid biosynthesis can potentially be used for anticancer therapy. One well-known class of sialylation inhibitors is peracetylated 3-fluorosialic acids. We synthesized 3-fluorosialic acid derivatives modified at the C-4, C-5, C-8, and C-9 position and tested their inhibitory potency in vitro. Modifications at C-5 lead to increased inhibition, compared to the natural acetamide at this position. These structure-activity relationships could also be applied to improve the efficiency of sialic acid metabolic labeling reagents by modification of the C-5 position. Hence, these results improve our understanding of the structure-activity relationships of sialic acid glycomimetics and their metabolic processing.
Sialic acids cap the glycans of cell surface glycoproteins and glycolipids. They are involved in a multitude of biological processes, and aberrant sialic acid expression is associated with several pathologies, such as cancer. Strategies to interfere with the sialic acid biosynthesis can potentially be used for anticancer therapy. One well-known class of sialylation inhibitors is peracetylated 3-fluorosialic acids. We synthesized 3-fluorosialic acid derivatives modified at the C-4, C-5, C-8, and C-9 position and tested their inhibitory potency in vitro. Modifications at C-5 lead to increased inhibition, compared to the natural acetamide at this position. These structure-activity relationships could also be applied to improve the efficiency of sialic acid metabolic labeling reagents by modification of the C-5 position. Hence, these results improve our understanding of the structure-activity relationships of sialic acid glycomimetics and their metabolic processing.
Sialic acids are nine-carbon
sugars abundantly expressed at the
termini of mammalian glycans on membrane-bound and secreted glycoproteins
and glycolipids. The sialic acid family contains >80 chemically
distinct
members that are related to the nonulosonic acids, nine-carbon backbone
α-keto sugars that are widely found in nature.[1,2] Mammalian cells can produce sialic acids via a de novo biosynthesis pathway starting from N-acetylmannosamine (ManNAc) in a three-step enzymatic process.[3] Subsequently, sialic acids are converted into
CMP-sialic acids by CMP-sialic acid synthase (CMAS). CMP-sialic acids
are transported into the Golgi apparatus where they are utilized as
a sialyl donor by 20 sialyltransferase isoenzymes which install sialic
acids via distinct glycosidic linkages (α2-3,
α2-6, or α2-8) on various glycoconjugates (N/O-glycans, glycolipids) giving rise to so-called
sialoglycans. Cell surface sialic acids are important modulators of
a myriad of biological processes such as the binding and transport
of ions, enhancing the viscosity of mucins, regulating glycoprotein
half-life, and interacting with sialic acid binding proteins.[4] Sialoglycans are recognized by sialic acid-binding
immunoglobulin-like lectins (Siglecs), a family of immunoregulatory
receptors,[5] and selectins that mediate
the trafficking of immune cells. Sialic acids therefore play an important
role in modulating immune activity.[6]Cancers of various origins display altered cell surface glycosylation
with the overexpression of sialic acid as a frequently observed feature.
The overexpression of sialic acid in cancer arises from increased
metabolic flux of the sialic acid pathway, increased sialyltransferase
expression, and a decrease in sialidase expression. Cancer hypersialylation
is associated with resistance to radio- and chemotherapy, apoptotic
evasion, cancer progression, and metastasis and the induction of an
immunosuppressive tumor microenvironment hence leading to aggressive
and invasive forms of cancer with a poor prognosis.[7] Blocking aberrant sialylation in cancer may therefore represent
a promising therapeutic strategy.[8] Bacterial
sialidases have been investigated in clinical trials to reduce cancer
sialylation albeit with limited success. Bacterial sialidases are
often contaminated,[9,10] immunogenic, and known to stay
bound after hydrolysis[11−13] and their effects are short-lived as the sialic acid
biosynthesis rapidly restores sialic acid levels.[14,15] Recently, this approach has been revisited utilizing human sialidase–antibody
constructs.[16] An alternative strategy relies
on the use of small-molecule inhibitors of sialoglycan biosynthesis.
Paulson et al. reported a cell-permeable metabolic inhibitor of sialylation
based on peracetylated 3-fluorosialic acid (P-SiaFNAc).[17] Upon entering the cell, P-SiaFNAc is deacetylated
by esterases, and SiaFNAc is converted to CMP-SiaFNAc by CMAS.[17−19] CMP-SiaFNAc has been shown to act as a competitive inhibitor of
sialyltransferase enzymes and leads to feedback inhibition of the de novo biosynthesis pathway. We and others have shown that
P-SiaFNAc inhibits sialylation with high specificity in cancer cells
resulting in reduced tumor growth and metastasis.[17,20−22] The use of P-SiaFNAc has also significantly contributed
to the understanding of how desialylation leads to potentiation of
the immune response.[23,24] By taking advantage of the substrate
tolerance at C-5 of sialic acid, we have recently developed more potent
analogues of P-SiaFNAc.[3,25] We found that C-5 carbamate derivatives
of P-SiaFNAc significantly enhanced inhibitory potency in vitro. The
increased inhibitory potency was attributed to increased metabolic
flux toward the active CMP derivative giving rise to higher intracellular
concentrations of the active inhibitor. In addition, we reported a
similar difference in the efficiency of metabolic labeling of C-5-modified
sialic acids containing a C-5 propargyloxycarbonyl (Poc) with respect
to the azidoacetyl (Az) derivative. Also, in this case, the carbamate
derivative (Poc) was more effective than the amide (Az) derivative,
although the difference in the chemical reporter group (alkyne vs azide) prevented a direct comparison.[26]Hence, to investigate the impact of further unnatural
modifications,
we herein report the synthesis and biological evaluation of a new
panel of C-4-, C-5-, C-8-, and C-9-modified (3-fluoro-)sialic acid
analogues. These derivatives can passively diffuse into the cell and
are subsequently processed via the sialic acid metabolic
pathway (Figure ).
We systematically substituted the C-5 N-acetamide
of 3-fluoro-sialic acid for carbamate, S-thiocarbamate,
urea, and thiourea groups. We found that inhibitory potency of the
C-5 derivatives can be ordered as follows: carbamate > S-thiocarbamate > thiourea > urea > amide. Modifications
at the glycerol
side chain led to erosion of inhibitory potency but interestingly
could be recovered by also introducing C-5 modifications. The results
demonstrate a clear structure–activity relationship for the
metabolism of unnatural analogues resulting in more potent inhibitors
than the P-SiaFNAc parent compound. Indeed, this guideline could be
translated to also improve the efficacy of sialic acid metabolic labeling
reagents (Figure ).
C-5 propargyl carbamates outperformed the corresponding thiourea and
amide analogues resulting in more efficient metabolic labeling.
Figure 1
Structure and
mode of action of metabolic sialylation inhibitors
and metabolic labeling reagents. Sia = sialic acid, Gal = galactose,
and GlcNAc = N-acetyl glucosamine.
Structure and
mode of action of metabolic sialylation inhibitors
and metabolic labeling reagents. Sia = sialic acid, Gal = galactose,
and GlcNAc = N-acetyl glucosamine.
Results and Discussion
Structure–Activity Relationship of
Metabolic Sialic Acid
Inhibitors
To enable the direct comparison of different C-5
derivatives, two sets of derivatives containing the same saturated
[ethyl, 2, 4, 6, 8, 10, 12 (azidoethyl)] or unsaturated (propargyl, 3, 5, 7, 9, 11) chain length were prepared. Alkynes and azides are functional handles
that can undergo orthogonal reactions in biological systems. We previously
observed that the introduction of a heteroatom at C-5 (carbamate vs amide) led to increased metabolic processing by CMAS
affording an increased intracellular concentration of the corresponding
active CMP derivative.[20] Hence, we investigated
various heteroatom substitution patterns in the form of C-5 amide
(a)-, carbamate (oc)-, urea (ur)-, thiourea (tur)-, and S-thiocarbamate (tc)-containing compounds the establish their effect
on the inhibitory potency.P-SiaFNAc derivatives 2–12 were prepared from the corresponding C-5
amine by acylation in low to moderate yields of 7–44% (Scheme ). Reactions at the
C-5 amine in presence of a C-3 fluorine do not proceed efficiently
presumably due to the lower amine nucleophilicity. The potency of
the inhibitors 2–12 was tested on
human THP-1 monocytic leukemia cells (Figure ). Inhibitor potency was assessed by incubating
cells with a range of inhibitor concentrations for 3 days to allow
for sialoglycan turnover. After 3 days, cellular sialylation was measured
by staining for α2-3-linked sialic acids using the MAL-II lectin.
The EC50 values were determined and defined as the concentration
where a 50% decrease in lectin binding compared to the control (DMSO)
was observed (Figure , Table ).
Scheme 1
Synthesis of the SiaF Derivatives (2–12)
Figure 2
Dose-dependent
inhibition of α2-3-linked sialic acid by (A)
alkyl-substituted and (B) alkynyl-substituted fluorinated sialic acid
analogues. THP-1 cells were cultured for 3 days with 0–256
μM fluorinated sialic acid analogues 2–12 and then stained with biotinylated MAL-II for α2-3-linked
sialic acid, followed by streptavidin–PE. Fluorescence was
measured using flow cytometry and normalized to a DMSO control. Values
are plotted as mean ± standard error means.
Table 1
EC50 Values
in μM
for Inhibition of α2-3-Linked Sialic Acid (First Column) and
α2-6-Linked Sialic Acida
side group
P-SiaFNR
THP-1 (MAL-II)
THP-1 (SNA-I)
Jurkat (SNA-I)
GL261 (SNA-I)
B16F10 (SNA-I)
EL-4 (SNA-I)
Ac
6.18
6.78
9.46
71.3
110
≥250
alkyl
Bua (2)
2.99
1.63
2.46
9.71
16.5
212
Etoc (4)
0.763
0.319
0.48
5.71
11.5
77.7
Etur (6)
1.66
1.76
3.32
11.2
29.4
46.1
Ettu (8)
1.29
0.749
2.01
11.2
36.2
≥250
Ettc (10)
0.429
0.780
1.29
7.81
11.9
89.1
alkynyl
Pya (3)
10.3
3.72
13.8
58.9
16.5
≥250
Poc (5)
0.485
0.199
1.00
4.40
7.10
119
Pur (7)
2.48
3.45
9.21
11.1
37.0
≥250
Ptu (9)
0.521
1.92
5.08
16.3
197
60.4
Ptc(11)b
18.8b
46.6b
N.D.
N.D.
N.D.
N.D.
other
Azeoc (12)
0.323
0.410
2.95
5.11
8.89
141
Cells were cultured for 3 days with
0–256 μM fluorinated sialic acid analogues 2–12 and then stained with biotinylated SNA-I
or MAL-II lectins, followed by streptavidin–PE. Fluorescence
was measured using flow cytometry and normalized to a DMSO control.
Ambiguous fit, due to toxicity
at
>32 μM.
Dose-dependent
inhibition of α2-3-linked sialic acid by (A)
alkyl-substituted and (B) alkynyl-substituted fluorinated sialic acid
analogues. THP-1 cells were cultured for 3 days with 0–256
μM fluorinated sialic acid analogues 2–12 and then stained with biotinylated MAL-II for α2-3-linked
sialic acid, followed by streptavidin–PE. Fluorescence was
measured using flow cytometry and normalized to a DMSO control. Values
are plotted as mean ± standard error means.Cells were cultured for 3 days with
0–256 μM fluorinated sialic acid analogues 2–12 and then stained with biotinylated SNA-I
or MAL-II lectins, followed by streptavidin–PE. Fluorescence
was measured using flow cytometry and normalized to a DMSO control.Ambiguous fit, due to toxicity
at
>32 μM.All synthesized
sialosides, with the exception of 3 and 11, are more potent inhibitors than P-SiaFNAc.
This is in line with earlier research that showed that a carbamate
group enabled increased metabolic processing by CMAS. Inhibitors having
an S-thiocarbamate, urea, or thiourea linkage also
show an increased inhibitor potency compared to P-SiaFNAc. For both
series of compounds (ethyl and propargyl), a trend emerges with the
carbamate and thiocarbamate linkage being the most potent, followed
by the thiourea, then the urea, and the amide derivative being the
least potent inhibitor. Propargyl thiocarbamate 11 showed
toxicity at relatively low concentrations. To validate this trend,
the potency of the inhibitors was also measured in a broader set of
cell lines: Jurkat acute T-lymphocyte leukemia cells and murine EL-4
(T-lymphocyte leukemia), GL261 (glioma), and B16F10 (melanoma) cancer
cell lines. As staining with MAL-II can lead to unwanted binding to
3-O-sulfated galactose residues,[27] we therefore switched to SNA-I, which binds α2-6-linked
sialic acid. Sialylation was measured at different concentrations
of the inhibitors, and EC50-values were calculated by fitting
a dose–response curve and obtaining the concentration at which
50% of sialic acid remains on the cell surface.For all cell
lines, the new inhibitors also proved to be more potent
than the parent compound P-SiaFNAc (Table ). For several compounds, inhibition was
found even in less-responsive murine cancer cell lines like EL-4.
Although P-SiaFNAc shows low inhibitory potency (>50 μM)
in
B16F10 cells in vitro, it has been shown to reduce tumor growth in
vivo.[14] Across the five cell lines, the
observed trend in potency versus the type of C-5 modification is in
line with observations for THP-1 cells, with compounds 4, 5, 10, and 12 being the
most potent inhibitors. Next, we investigated the impact of modifications
on the glycerol side chain of sialic acid (Scheme ). Truncated octulosonic and heptulosonic
acid inhibitors 16, 17, 20, and 21 were synthesized, containing either a 7- or
8-carbon skeleton. Additionally, C-5 carbamate derivatives were prepared
to enable the comparison of these truncated inhibitors to the most
potent carbamate inhibitor (4). We were also interested
in probing to what extent modifications at the C-4 and glycerol side
chain contributed to the activity of the sialyltransferase inhibitors.
Hence, we prepared derivatives 23 and 25 having an azide or propargyloxycarbonyl at the C-4 position and
a dual-modified inhibitor 24, which has a C-4 azide and
C-5 carbamate.
Truncated derivatives 16, 17, 20, and 21 were
synthesized from sialic acid glycal 13. Malaprade oxidation[28] followed
by sodium borohydride reduction and acetylation afforded 14 and 18.[29] Selective N-deacetylation
followed by acylation with ethyl chloroformate afforded carbamates 15 and 19. Electrophilic fluorination[30] and subsequent acetylation of acetamides 14 and 18 and carbamates 15 and 19 afforded truncated inhibitors 16, 17, 20, and 21. Subsequent fluorination and
acetylation of 4-N3-glucal 22(31) afforded 23. In a similar manner as described
above, selective N-deacetylation of 23 followed by acylation
gave the C-4- and C-5-modified inhibitor 24. 25 was synthesized from 23 via a direct conversion of
the azide to a propargyl carbamate.[32]Using the aforementioned protocol, the inhibitory potency of 16, 17, 20, 21, and 23–25 was tested on THP-1 cells (Figure ). Truncation of
the glycerol tail leads to a length-dependent decrease in inhibition.
Octulosonic acid 16 shows a loss of activity compared
to P-SiaFNAc. Interestingly, substitution of the C-5 acetamide for
a carbamate leads to a recovery of inhibitory potency. Both heptulosonic
acids 20 and 21 barely show any activity.
The introduction of a C-4 azide (23) leads to comparable
activity compared to P-SiaFNAc. Swapping the azide for a propargyl
carbamate (25) led to a loss of activity, indicating
that only small modifications at this position are tolerated. Remarkably,
a C-5 carbamate in combination with a C-4 azide (24)
leads to a notable reduction of the inhibitory potency in contrast
to earlier research showing that carbamate inhibitors were more potent.[20]
Figure 3
Dose-dependent inhibition of α2-3-linked sialic
acid by (A)
truncated and (B) C-4-substituted fluorinated sialic acid analogues.
Cells were cultured for 3 days with 0–512 μM fluorinated
sialic acid analogues 4, 16, 17, 20, 21, and 23–25 and stained with biotinylated MAL-II for α2-3-linked
sialic acid, followed by streptavidin–PE. Fluorescence was
measured using flow cytometry and normalized to a DMSO control. Values
are plotted as mean ± standard error means.
Dose-dependent inhibition of α2-3-linked sialic
acid by (A)
truncated and (B) C-4-substituted fluorinated sialic acid analogues.
Cells were cultured for 3 days with 0–512 μM fluorinated
sialic acid analogues 4, 16, 17, 20, 21, and 23–25 and stained with biotinylated MAL-II for α2-3-linked
sialic acid, followed by streptavidin–PE. Fluorescence was
measured using flow cytometry and normalized to a DMSO control. Values
are plotted as mean ± standard error means.
Structure–Activity Relationship of Metabolic Sialic Acid
Labeling Reagents
From these results, it is clear that C-5
modification can be used to improve the efficiency of metabolic inhibitors.
To investigate whether increased metabolic processing can also be
employed to improve the metabolic labelling of sialic acids, three
non-fluorinated alkyne-containing sialic acid derivatives (26–28) were prepared (see the Supporting Information). These derivatives carry the same alkyne reporter which is connected via a C-5 amide, urea, or carbamate group, analogous to
compounds 3, 5, and 7 (Figure ). THP-1 cells were
incubated with 4–512 μM 26–28 for
3 days. Incorporation was visualized by conjugating the incorporated
alkyne to azide-biotin, followed by incubating with streptavidin,
conjugated to a phycoerythrin dye (PE). Fluorescence was then measured
with flow cytometry. As shown in Figure , carbamate 27 shows the most
efficient incorporation, followed by urea 28 and amide 26. To minimize the impact of differences in alkyne reactivity
in the biotin conjugation step, a large excess of the azide reagent
was used to drive the reaction to completion. Furthermore, the use
of high concentrations of the sialic acid derivative (26–28) leads to a similar plateau in the fluorescence signal, which would
not be expected if differences in alkyne reactivity played a role.
Moreover, the concentration-dependent incorporation of compounds 26–28 follows the same trend as the inhibitor analogues 3, 5, and 7.
Figure 4
Incorporation of alkyne-containing
sugars into cell surface glycans.
THP-1 cells were cultured for 3 days with compounds (26–28) at concentrations of 4–512 μM and DMSO as the negative
control (n = 3). Incorporation was visualized using
CuAAC, and fluorescence was measured using flow cytometry. Mean fluorescence
was plotted against the logarithmic concentration as mean ± standard
error means.
Incorporation of alkyne-containing
sugars into cell surface glycans.
THP-1 cells were cultured for 3 days with compounds (26–28) at concentrations of 4–512 μM and DMSO as the negative
control (n = 3). Incorporation was visualized using
CuAAC, and fluorescence was measured using flow cytometry. Mean fluorescence
was plotted against the logarithmic concentration as mean ± standard
error means.
Conclusions
We
have prepared and tested a panel of C-4, C-5, C-7, and C-8 derivatives
of (3-fluoro-)sialic acid. C-5 carbamate, urea, thiourea, and S-thiocarbamate derivatives are more potent inhibitors than
the corresponding C-5 amides. Small modifications at the C-4 are tolerated,
and adjustment of the glycerol side chain leads to a length-dependent
decrease in inhibition. Incorporation of non-fluorinated analogues
shows a similar trend with respect to the C-5 linkage as their fluorinated
counterparts. These results could be considered for further inhibitor
design and for sialosides that utilize the same metabolic pathway.
Methods
Cell Culture
THP-1
cells (TIB-202, ATCC) and Jurkat
cells (TIB-152, ATCC) were cultured in RPMI-1640 medium containing
2 mM gutamine and 25 mM N-(2-hydroxyethyl)piperazine-N′-ethanesulfonic acid (Gibco, Life Technologies),
supplemented with 10% v/v heat-inactivated fetal bovine serum (FBS)
(Gibco, Life Technologies) and 1× antibiotic–antimycotic
solution (100 units/m penicillin, 100 μg/mL streptomycin, and
0.25 μg/mL Fungizone) (Gibco, Life Technologies) and passaged
every 3–4 day by seeding a fraction of 0.5–2 mln cells
of the culture per 10 mL medium.EL-4 cells (TIB-39, ATCC) were
cultured in Dulbecco’s modified Eagle’s medium (DMEM)
(Gibco, Life Technologies), supplemented with 10% v/v heat-inactivated
FBS (Gibco, Life Technologies), 1× antibiotic–antimycotic
solution (100 units/mL penicillin, 100 μg/mL streptomycin, and
0.25 μg/mL Fungizone) (Gibco, Life Technologies), and 2 mM glutamine
(Gibco, Life Technologies) and passaged every 2–4 days by seeding
a fraction of 0.5–1 mln cells of the culture per 10 mL medium.B16F10 cells (CRL-6475, ATCC) and GL261 cells were cultured in
DMEM (Gibco), supplemented with 10% v/v heat-inactivated FBS (Gibco,
Life Technologies), 1× antibiotic–antimycotic solution
(100 units/mL penicillin, 100 μg/mL streptomycin, and 0.25 μg/mL
Fungizone) (Gibco, Life Technologies), and 2 mM glutamine (Gibco,
Life Technologies) and passaged every 2–4 days at 70–80%
confluency. For passaging a T75 flask (Corning), medium was removed,
and the monolayer was washed with 10 mL of phosphate-buffered saline
(PBS) pH 7.2 without CaCl2 and MgCl2 (Gibco,
Life Technologies) before adding 3.5 mL of 0.05% trypsin/EDTA solution
(Gibco, Life Technologies) in PBS. Cells were incubated at room temperature
for 30–45 s after which the trypsin/EDTA solution was removed.
Cells were incubated for an additional 2 min at 37 °C and 5.0%
CO2 and resuspended in cell culture medium. Cells were
then seeded at ∼40.000 cells/cm2 in new culture
flasks.
Lectin Staining of Cells
The protocol mentioned below
was repeated until n ≥ 3 for each compound
using cells at different passage numbers.Cells were cultured
in medium containing different concentrations of unnatural sugar derivatives
on either a 48-well plate (adherent cell lines; 20,000–40,000
cells per well) (Corning) or a 96-well plate (suspension cell lines;
13,000–20,000 cells per well) (Thermo Scientific). DMSO, at
same dilution as the unnatural sugar derivative stock solutions, was
used as a positive control for lectin staining; P-SiaFNAc was used
for all concentrations as the negative control. Cells were incubated
for 3 days at 37 °C and 5% CO2 in a humidified incubator.Cells were harvested and washed with 100 μL of 1× CF-blocking
buffer (Vector Laboratories Inc.) containing 1 mM CaCl2 and 1 mM MgCl2. The cells were then resuspended in 50
μL of 0.5 μg/mL 0.5 ng/mL biotinylated lectin in 1×
carbo-free blocking buffer and incubated at 4–8 °C for
45–60 min. Cells were washed with 3 × 100 μL of
PBA (PBS-containing 1% v/v FBS and 0.1% w/w NaN3) and incubated
with 40 μL of the 1 μg/mL streptavidin–phycoerythrin
conjugate (Invitrogen, eBioscience) in PBA for 10–15 min at
4–8 °C. Cells were then washed again with 3 × 100
μL of PBA, resuspended in PBA, and fluorescence was measured
with a flow cytometer (Beckman & Dickinson FACS-Calibur). Each
replicate was obtained for each condition with >10,000 gated events.
Data were processed using FlowJo (FlowJo LLC). The percentage of lectin
binding was obtained by normalizing the MFI values to the MFI values
of the respective DMSO control.
Lectin Specificity Assay
The protocol mentioned below
was repeated until n ≥ 3 for each compound
using cells at different passage numbers.Culture medium was
prepared in 96-well plates (Thermo Scientific). For every unnatural
sugar derivative, 11 wells containing 100 μM unnatural sugar
derivatives and 11 wells containing 10 μM the unnatural sugar
derivatives were prepared. DMSO, at same dilution as the tested probes’,
was used as a positive control for lectin staining. THP-1 Cells were
cultured in the plates (20,000 cells per well), and the cells were
incubated for 3 days at 37 °C and 5% CO2.Cells
were harvested and washed with 100 μL of 1× CF-blocking
buffer (Vector Laboratories Inc.) containing 1 mM CaCl2 and 1 mM MgCl2. The cells were then resuspended in 50
μL of 0.5 μg/mL either 0.5 ng/mL biotinylated AAL, AOL,
SNA, MAL-II, WGA, LCA, PSA, PNA, PHA-L, or GSL-1 lectin in 1×
carbo-free blocking buffer or with 50 μL of non-supplemented
1× carbo-free blocking buffer and incubated at 4–8 °C
for 45–60 min. Cells were washed with 3 × 100 μL
of PBA (PBS containing 1% v/v FBS and 0.1% w/w NaN3), incubated
with 40 μL of the 1 μg/mL streptavidin–phycoerythrin
conjugate (Invitrogen, eBioscience) in PBA for 10–15 min at
4–8 °C. Cells were then washed again with 3 × 100
μL of PBA, resuspended in PBA, and fluorescence was measured
with a flow cytometer (Beckman & Dickinson FACS-Calibur). Each
replicate was obtained for each condition with >10,000 gated events.
Data were processed using FlowJo (FlowJo LLC). The percentage of lectin
binding was obtained by normalizing the MFI values to the MFI values
of the respective DMSO control.
CuAAC Staining of the Cell
Membrane
The protocol mentioned
below was repeated until n ≥ 3 for each compound
using cells at different passage numbers.THP-1 cells were cultured
in medium containing 4–512 μM unnatural sugar derivatives
on 96-well plates (20,000 cells per well) (Thermo Scientific). DMSO,
at the same dilution as the unnatural sugar derivative stock solutions’,
was used as the negative control. Cells were incubated for 3 days
at 37 °C and 5% CO2 in a humidified incubator.Cells were harvested and washed with 100 μL of 2× PBS.
The cells were then resuspended in 95 μL of reaction buffer
[250 μM CuSO4, 200 μM l-histidine,
100 μM of azide-PEG3-biotin conjugate (click chemistry tools)
in PBS], and 5 μL of a freshly made solution of sodium ascorbate
(10 mM in PBS, final concentration of 500 μM) was added, after
which cells were incubated at 37 °C for 20 min. Cells were washed
with 3 × 100 μL of PBS containing 1% w/v BSA without NaN3 and incubated with 40 μL of the 1 μg/mL streptavidin–phycoerythrin
conjugate (BD, Pharmingen) in PBA (PBS containing 1% w/v BSA with
0.2% w/v NaN3) for 20 min at 4–8 °C. Cells
were then washed again with 3 × 100 μL of PBA, resuspended
in PBA, and fluorescence was measured using a flow cytometer (Beckman
Coulter FACS-CyAn ADP). Each replicate was obtained for each condition
with >10,000 gated events. Data were processed using FlowJo (FlowJo
LLC) and Graphpad Prism v5.0.
Authors: Christian Büll; Estel Collado-Camps; Esther D Kers-Rebel; Torben Heise; Jonas N Søndergaard; Martijn H den Brok; Barbara M Schulte; Thomas J Boltje; Gosse J Adema Journal: Immunol Cell Biol Date: 2016-11-22 Impact factor: 5.126
Authors: Merav Cohen; Moshe Elkabets; Michal Perlmutter; Angel Porgador; Elena Voronov; Ron N Apte; Rachel G Lichtenstein Journal: J Immunol Date: 2010-10-18 Impact factor: 5.422
Authors: Christian Büll; Thomas Jan Boltje; Eric A W van Dinther; Timo Peters; Annemarie M A de Graaf; Jeanette H W Leusen; Martin Kreutz; Carl G Figdor; Martijn H den Brok; Gosse J Adema Journal: ACS Nano Date: 2015-01-14 Impact factor: 15.881
Authors: Christian Büll; Torben Heise; Daniëlle M H Beurskens; Moniek Riemersma; Angel Ashikov; Floris P J T Rutjes; Toin H van Kuppevelt; Dirk J Lefeber; Martijn H den Brok; Gosse J Adema; Thomas J Boltje Journal: ACS Chem Biol Date: 2015-08-10 Impact factor: 5.100
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