Kendomycin is a small-molecule natural product that has gained significant attention due to reported cytotoxicity against pathogenic bacteria and fungi as well as a number of cancer cell lines. Despite significant biomedical interest and attempts to reveal its mechanism of action, the cellular target of kendomycin remains disputed. Herein it is shown that kendomycin induces cellular responses indicative of cation stress comparable to the effects of established iron chelators. Furthermore, addition of excess iron and copper attenuated kendomycin cytotoxicity in bacteria, yeast, and mammalian cells. Finally, NMR analysis demonstrated a direct interaction with cations, corroborating a close link between the observed kendomycin polypharmacology across different species and modulation of iron and/or copper levels.
Kendomycin is a small-molecule natural product that has gained significant attention due to reported cytotoxicity against pathogenic bacteria and fungi as well as a number of cancer cell lines. Despite significant biomedical interest and attempts to reveal its mechanism of action, the cellular target of kendomycin remains disputed. Herein it is shown that kendomycin induces cellular responses indicative of cation stress comparable to the effects of established iron chelators. Furthermore, addition of excess iron and copper attenuated kendomycincytotoxicity in bacteria, yeast, and mammalian cells. Finally, NMR analysis demonstrated a direct interaction with cations, corroborating a close link between the observed kendomycin polypharmacology across different species and modulation of iron and/or copper levels.
Natural products
serve as privileged
chemical probes for interrogating cellular biology, expanding the
druggable genome, and eventually developing new therapeutics. The
secondary metabolite kendomycin (Figure A) is a macrocyclic polyketide produced by
several Streptomyces species. Since its discovery,
a variety of cytotoxic activities, including killing of both Gram-negative
and -positive bacteria,[1] pathogenic fungi,[2] and a number of humancancer cell lines,[2] were reported. This generated substantial interest
in kendomycin, leading to the establishment of a total synthesis method[3] and identification and cloning of its corresponding
polyketide synthase cluster.[4] Kendomycin
was proposed to inhibit yeast and mammalian proteasomes,[5] but whereas a specific covalent interaction was
reported, binding site mutations that abolished the interaction failed
to alter kendomycincytotoxicity.[5] Conservation
of cytotoxic activity from bacteria to man may be indicative of either
a highly conserved protein target or interference with common biomolecules
such as nucleic acids, lipids, or ions. It was the aim of this study
to identify the mechanism of action of kendomycin and thereby explain
its pan-species activity.
Figure 1
Kendomycin toxicity is not concurrent with proteostatic
perturbations.
(A) Structure of kendomycin. (B) Kendomycin treatment does not inhibit
proteasome activity in mammalian cells. Fluorescence distribution
of DMSO (gray infill), 250 nM MG132 (black), and 250 nM kendomycin
(green) treated HEK293T cells expressing UbG76V-GFP proteosomal reporter
and quantification from S1, Supporting Information. (C) HCT-116 cells grown in the presence of indicated concentrations
of kendomycin, apratoxin A (inhibitor of the Sec61 protein translocon),
or cycloheximide (protein synthesis inhibitor) and 35S-labeled
methionine/cysteine. Total protein shows cellular lysate; secreted
protein shows the contents of the growth medium following TCA precipitation.
As expected, cycloheximide inhibits protein biogenesis in both total
and secreted fractions, while apratoxin A inhibits biogenesis of only
secreted proteins. Kendomycin has no effect on biogenesis of either
total or secreted fractions.
Kendomycintoxicity is not concurrent with proteostatic
perturbations.
(A) Structure of kendomycin. (B) Kendomycin treatment does not inhibit
proteasome activity in mammalian cells. Fluorescence distribution
of DMSO (gray infill), 250 nM MG132 (black), and 250 nM kendomycin
(green) treated HEK293T cells expressing UbG76V-GFP proteosomal reporter
and quantification from S1, Supporting Information. (C) HCT-116 cells grown in the presence of indicated concentrations
of kendomycin, apratoxin A (inhibitor of the Sec61 protein translocon),
or cycloheximide (protein synthesis inhibitor) and 35S-labeled
methionine/cysteine. Total protein shows cellular lysate; secreted
protein shows the contents of the growth medium following TCA precipitation.
As expected, cycloheximide inhibits protein biogenesis in both total
and secreted fractions, while apratoxin A inhibits biogenesis of only
secreted proteins. Kendomycin has no effect on biogenesis of either
total or secreted fractions.
Results
and Discussion
Kendomycin was previously characterized as
a weak inhibitor of
yeast and mammalian proteasomes.[5] To test
whether proteasome inhibition plays a role in kendomycincytotoxicity
in human cells, a FACS-based proteasomal degradation assay was used
that monitors cellular turnover of a destabilized UbG76V-GFP reporter
as a measure of proteasome activity.[6] As
expected, treating cells with the established proteasome inhibitor
MG132 resulted in cellular accumulation of GFP. However, kendomycin
failed to increase cellular GFP fluorescence even at acutely cytotoxic
concentrations (Figures B and S1, Supporting Information), suggesting
direct proteasome inhibition is not likely the primary mechanism of
action of kendomycin.[2]Kendomycin
has been shown to affect the uptake of radiolabeled
isoleucine in bacteria, indicative of protein synthesis inhibition.[7] To investigate the proposed kendomycin mechanism
of action in mammalian cells, metabolic labeling of HCT116 cells with 35Smethionine/cysteine was used. As expected, treatment with
an established ribosomal inhibitor cycloheximide abolished all protein
synthesis, while the Sec61 translocation inhibitor apratoxin A[8] prevented biogenesis only of newly labeled secretory
proteins. In contrast to cycloheximide or apratoxin A, kendomycin
did not influence production of total or secretory proteins (Figure C). Therefore, inhibition
of protein biogenesis is also not a likely primary mechanism by which
kendomycin exerts its cytotoxic effect across a range of species.Mutations at the target binding site of cytotoxic compounds can
interfere with compound binding without affecting target functionality,
and isolation and characterization of such resistance-conferring point
mutations is the method of choice for identifying targets of cytotoxic
compounds.[9−11] Given the broad cytotoxic range of kendomycin, both
yeast and mammalian cells were randomly mutagenized by ethyl methanesulfonate
and screened for permissive kendomycin-resistant mutants. In total,
48 Saccharomyces cerevisiae colonies were isolated,
grown to saturation in the absence of drug, and then replated on agar
supplemented with kendomycin. However, no resistance was observed
to persist in any clones using this approach, indicating that initial
resistance was obtained through adaptation rather than mutation. Analogously,
18 resistant clonal HCT116 cell lines were identified that were subjected
to whole-genome sequencing. The resulting SNP data identified many
mutations, but none of these were enriched at particular genes or
cellular pathways (Table S1, Supporting Information). Together, these results are in accordance with an earlier global
proteomic response study,[2] which identified
numerous kendomycin-modulated proteins spreading throughout multiple
diverse biological processes, but lacking an obvious functional connection.
Together, these results suggest that the target of kendomycin may
not be a valid target of mutagenesis.To identify the mechanism
of action of kendomycin by an alternative
unbiased approach, it was assayed against the Cancer Cell Line Encyclopedia,
a collection of 512 humancancer cell lines (broadinstitute.org/ccle)
with established sensitivities to a host of drug-like small molecules.[12] When querying the distribution of antiproliferative
IC50 values against the tested compounds, the closest correlation
with kendomycin (R = 0.71) was observed with the
iron-chelating siderophore mycobactin A12 (Figure A), despite a lack of structural similarity
between the two compounds. This prompted the hypothesis that kendomycin
may exert its cytotoxic effect by cation modulation. Thus, it was
attempted to assess kendomycin impact on yeast cells in an unbiased,
genome-wide manner by chemogenomic haploinsufficiency profiling (HIP),
a gene dosage-dependent method that assesses the effect of compounds
against S. cerevisiae targets and pathways[13] and can also reveal compound mechanisms not
directly targeting a protein.[14,15] Consistent with the
hypothesis that kendomycin might act through a nonprotein target,
the HIP profile of kendomycin did not reveal strongly affected heterozygous
deletion strains (Figure B). The most pronounced effect was observed in a heterozygous
deletion of AFT2, an iron-regulated transcriptional
activator that activates genes involved in iron homeostasis.[16] Weaker, but still statistically significant
hits included a heterozygous deletion of an uncharacterized ORF YIL102C, reported to be sensitive to Al(III),[17] and the galactose permease GAL2. When correlating this profile to our database of >3000 HIP profiles,
an overlap of hits with the clinical cation chelator Exjade was apparent
(Figure C), providing
further experimental support for cation modulation by kendomycin.
Figure 2
Chemogenomic
profiling identifies a conserved link between iron
dependence and kendomycin sensitivity. (A) The IC50 values
of kendomycin are plotted against those of mycobactin A, resulting
in a Pearson correlation coefficient (R) of 0.71,
suggesting that kendomycin might utilize a similar mechanism of action
to the bacterial siderophore. (B) HIP profile of kendomycin tested
in two independent biological replicates at 16.5 μM. Sensitivity
of the heterozygous deletion strains is plotted against statistical
significance (z-score) as previously described.[1] Black dots represent nonessential and gray squares
essential genes of the S. cerevisiae genome. Alignment
of the z-scores of kendomycin and the clinical cation
chelator exjade reveals a conserved set of hypersensitive hits, shown
in (C), providing further evidence that kendomycin shares a similar
mechanism of action with cation chelators in general. The relative
gene-level depletion (D) and the enrichment (E) scores from an inhibitor-sensitized
CRISPR screen of kendomycin at 400 nM in HCT116 cells are shown. The
RSA p-value, a gene-level measure for conserved depletion
(RSA down) or enrichment (RSA up) of its respective guides, is plotted
against Q, a gene-level effect size corresponding
to the RSA p-value for depletion (Q1) or enrichment
(Q3). The most significant hits reveal an abundance of iron interactive
processes.
Chemogenomic
profiling identifies a conserved link between iron
dependence and kendomycin sensitivity. (A) The IC50 values
of kendomycin are plotted against those of mycobactin A, resulting
in a Pearson correlation coefficient (R) of 0.71,
suggesting that kendomycin might utilize a similar mechanism of action
to the bacterial siderophore. (B) HIP profile of kendomycin tested
in two independent biological replicates at 16.5 μM. Sensitivity
of the heterozygous deletion strains is plotted against statistical
significance (z-score) as previously described.[1] Black dots represent nonessential and gray squares
essential genes of the S. cerevisiae genome. Alignment
of the z-scores of kendomycin and the clinical cation
chelator exjade reveals a conserved set of hypersensitive hits, shown
in (C), providing further evidence that kendomycin shares a similar
mechanism of action with cation chelators in general. The relative
gene-level depletion (D) and the enrichment (E) scores from an inhibitor-sensitized
CRISPR screen of kendomycin at 400 nM in HCT116 cells are shown. The
RSA p-value, a gene-level measure for conserved depletion
(RSA down) or enrichment (RSA up) of its respective guides, is plotted
against Q, a gene-level effect size corresponding
to the RSA p-value for depletion (Q1) or enrichment
(Q3). The most significant hits reveal an abundance of iron interactive
processes.A similar chemogenomic profiling
experiment was performed in human
cells using CRISPR/Cas9-mediated gene attenuation, as previously published.[18] The obtained sequencing data were plotted to
identify genes for which the modulation can confer hypersensitivity
(Figure D) or hyper-resistance
(Figure E). Genes
that conferred hypersensitivity against kendomycin were the mitochondrial
E3 ubiquitin ligase MARCH5, involved in stress-induced apoptosis,[19] and the mitochondrial membrane protein OPA3,
reported to exert cell-protective functions.[20] Weaker, but statistically significant hits included the iron responsive
element binding protein 2, IREB2, the ABC transporter ABCC1, which
transports dinitrosyl-dithiol-iron complexes,[21] GCLC, the rate-limiting enzyme of glutathione synthesis essential
for iron–sulfur cluster formation,[22] and XIAP, the iron- and copper-dependent X-linked inhibitor of apoptosis.[23,24] Most of the mammalianhypersensitive hits were directly linked to
iron metabolism or were closely connected to iron-dependent processes.
The hits conferring hyper-resistance exclusively comprised genes directly
linked to mitochondrial protein synthesis such as subunits of the
mito-ribosome and different tRNA synthetases. Mitochondria, the major
consumers of cellular iron, are dispensable in the high-glucose medium
routinely used in mammalian tissue culture, reducing cellular iron
demand.[20] This may explain the frequency
of iron metabolism-regulating genes in the resistance profile. Taken
together, the data obtained from yeast and mammalian cells support
interference of kendomycin with iron-dependent processes.Next,
it was desired to test whether addition of exogenous iron
or other cations could modulate kendomycin activity. Mixing kendomycin
with iron or copper in a test tube resulted in a concentration-dependent
color change suggestive of a direct interaction (Figure S2, Supporting Information). Importantly, no color
change was observed with other cations, including calcium, cobalt,
magnesium, or manganese, indicative of highly selective cation chelation.
To quantitatively determine relative affinities for kendomycin toward
different physiologically relevant cations, an absorbance-based assay
was used. The characteristic A320 nm absorbance
peak of kendomycin was effectively quenched by addition of selected
cations Fe(II), Fe(III), or Cu(II) (Figure A and B, Figure S2, Supporting Information). Conversely, addition of Ca2+ or Mg2+ did not cause any detectable changes in the UV spectra,
suggesting a lack of interaction with these cations (Figure S2, Supporting Information). Modeling the concentration-dependent
quenching allowed determination of kendomycin affinities toward different
cations. Based on this analysis, the apparent kendomycin affinities
were Kapp 19 μM (Fe(II)), 48 μM
(Cu(II)), and 76 μM (Fe(III)), with no observed binding for
calcium or magnesium. Further, supplementing cultures of B.
subtilis (Figure D), S. cerevisiae (Figure E), or humanHCT116colon carcinoma cells
(Figures C and F)
with iron partially alleviated cytotoxicity in all three species,
consistent with the essential role of iron for viability of all forms
of life.[25] In contrast, copper rescued
kendomycincytotoxicity only in bacteria and yeast under these conditions,
possibly reflecting the mechanisms that these species use to tightly
regulate free copper and mitigate its antimicrobial effect.[26]
Figure 3
Exogenous cations ameliorate kendomycin cytotoxicity across
species.
Spectra of 250 μM kendomycin with increasing concentrations
of iron (A) or copper (B). A320 were measured
in quadruplicate, and average values used to estimate a binding curve
for each (A and B, bottom), from which Kapp was determined. (C) Kinetics of kendomycin toxicity and rescue by
supplementation with 0.5 mM FeCl2 in HCT116 cells. Cell
proliferation in the presence of kendomycin is halted at 10 h, while
Fe(II) supplementation allows continued proliferation. Dose–response
curves of kendomycin were performed in the presence and absence of
(D) 0.25 mM FeCl2 and 0.25 mM CuCl2 against B. subtilis, (E) 1 mM FeCl2 and 0.25 mM CuCl2 against S. cerevisiae on solid medium, and
(F) 0.5 mM FeCl2 and 0.5 mM CuCl2 against HCT116
cells in duplicate, and inhibition curves were fitted by regression.
Shift in the dose–response curves indicates that cation supplementation
ameliorates kendomycin toxicity under these conditions.
Exogenous cations ameliorate kendomycincytotoxicity across
species.
Spectra of 250 μM kendomycin with increasing concentrations
of iron (A) or copper (B). A320 were measured
in quadruplicate, and average values used to estimate a binding curve
for each (A and B, bottom), from which Kapp was determined. (C) Kinetics of kendomycintoxicity and rescue by
supplementation with 0.5 mM FeCl2 in HCT116 cells. Cell
proliferation in the presence of kendomycin is halted at 10 h, while
Fe(II) supplementation allows continued proliferation. Dose–response
curves of kendomycin were performed in the presence and absence of
(D) 0.25 mM FeCl2 and 0.25 mM CuCl2 against B. subtilis, (E) 1 mM FeCl2 and 0.25 mM CuCl2 against S. cerevisiae on solid medium, and
(F) 0.5 mM FeCl2 and 0.5 mM CuCl2 against HCT116
cells in duplicate, and inhibition curves were fitted by regression.
Shift in the dose–response curves indicates that cation supplementation
ameliorates kendomycintoxicity under these conditions.Having established a plausible link between cation availability
and kendomycincytotoxicity, it was sought to demonstrate direct cation
binding. To test this, the complete chemical shift assignment of kendomycin
using 1D and 2D NMR approaches was determined (Figure S3, Supporting Information) followed by measurements
in the presence of different cations. Addition of iron(II) or copper(II)
resulted in a dose-dependent shift and broadening of the NMR signals
(Cu(II) Figure A;
Fe(II) Figure S4, Supporting Information) and a decreased overall intensity of kendomycin signals. Based
on the magnitude of the paramagnetic effect of the metal ions, we
were able to derive a rough epitope mapping[27] indicating the 2,5-dihydroxy-7-methyl-1-benzofuran-6(2H)-one moiety as the metal ion binding site (Figure C). In order to prove the presence of a coordination
complex and to rule out redox-based mechanisms, the kendomycin–copper
complex was quenched with TFA, reverting the 1H NMR spectrum
to one identical to the parent compound with only H-24 missing (Figure B).
Figure 4
Kendomycin cation binding.
(A) 1H NMR spectra of 4 mM
kendomycin with increasing concentrations of CuSO4: 0 (black),
0.33 (red), 0.66 (blue), and 1 equivalent (green). See Figure S3 in
the Supporting Information for complete
chemical shift assignments. (B) 1H NMR spectra of kendomycin
(black) and of kendomycin treated with 1 equivalent of aqueous CuSO4 and quenched after 1 day with TFA (red) prior to analysis.
Protected peak is indicative of the copper interaction site. (C) Proposed
kendomycin Cu(II) complex and potential mechanism for H/D exchange
(axial water not shown for better representation).
Kendomycin cation binding.
(A) 1H NMR spectra of 4 mM
kendomycin with increasing concentrations of CuSO4: 0 (black),
0.33 (red), 0.66 (blue), and 1 equivalent (green). See Figure S3 in
the Supporting Information for complete
chemical shift assignments. (B) 1H NMR spectra of kendomycin
(black) and of kendomycin treated with 1 equivalent of aqueous CuSO4 and quenched after 1 day with TFA (red) prior to analysis.
Protected peak is indicative of the copper interaction site. (C) Proposed
kendomycin Cu(II) complex and potential mechanism for H/D exchange
(axial water not shown for better representation).LC-MS experiments of the TFA-quenched complex indicated that
the
lack of this signal can be attributed to H/D exchange (Figure S4, Supporting Information). Using time-dependent
quenching experiments, we could show that the H/D exchange occurs
with an approximate rate constant of k ≈ 0.06
h–1 (Figure S5, Supporting Information). Since no H/D exchange was observed in the absence of copper or
iron ions, it was postulated that the underlying mechanism is linked
to the metal binding mode in the complex. Assuming a geometry similar
to other hydroxyquinonecopper(II) complexes,[28] a 2:1 stoichiometry with a bidentate kendomycin ligand can be proposed.
This binding mode could explain the observed H/D exchange via an opening
of the hemiketal in equilibrium (Figure C). Other molecular mechanisms such as proton-coupled
electron transfer for the quinone ligand might be included but were
not resolved with the experimental setup used in this study.In summary, genome-wide and focused data sets generated in yeast
and mammalian cells, as well as molecular data, all indicate that
the reported activities of kendomycin are attained by sequestration
of iron and copper. Since iron is vital for all phyla, this also explains
the pan-species activity of kendomycin. Oxidative stress and cation
imbalance are linked to many diseases, and chelating natural products
such as curcumin and gossypol[29−31] or salinomycin,[32] which sequesters lysosomal iron, have accepted clinical
benefits. This report thus provides a direction for further, focused
investigations of clinical applications of kendomycin.
Experimental Section
General Experimental Procedures
Kendomycin was isolated
from an unclassified Actinomycetes strain grown in a submerged culture.
A crude extract was generated by extraction of the culture broth with
ethyl acetate, and kendomycin was purified by subsequent normal-phase
and reversed-phase chromatographic separations. The final purity was
assessed by HPLC coupled to UV–vis, MS, and charged aerosol
detectors and found to be at least 97%.
Effects of the Proteasome
Inhibitor MG132 and Kendomycin on
Cellular Turnover of a Destabilized UbG76V-GFP Reporter
K562 cells bearing the lentivirally integrated ubiquitin fusion
degradation reporter UbG76V-GFP[6] controlled by an inducible TRE2 promoter were induced 16 h prior
to addition of compounds by adding doxycycline to a final concentration
of 1 μg/mL. Induced cells were treated with the indicated compounds
or carrier for 4 h, then analyzed by flow-cytometry on a BD LSRFortessa
instrument (BD Biosciences).
Metabolic Labeling
HCT116 cells
were seeded onto six-well
plates (0.5 × 106 cells/well) and then incubated at
37 °C at 5% CO2 for 24 h. Cells were washed twice,
and 1 mL of compound diluted in DMEM lacking methionine and cysteine
was added to each well. The plate was then incubated at 37 °C
for 30 min prior to addition of 100 μCi 35S-labeled
methionine/cysteine (Expre35s35s protein labeling
mix). Plates were incubated for a further 90 min; then medium was
collected and cells were harvested by scraping after four washes in
ice-cold PBS. Total protein was acquired by RIPA extraction from the
cell pellet, and secreted proteins were acquired by TCA precipitation
of the medium. Gel-exposed storage phosphor screens were scanned on
a Typhoon 9400 variable-mode imager.
EMS Mutagenesis
Strain BY4743Δ8, derived from
BY4741 but deleted for eight genes involved in drug resistance (efflux
pumps: SNQ2, PDR5, YOR1; transcription factors: PDR1, PDR2, PDR3, YAP1, YRM1), was incubated in 2.5% ethyl methanesulfonate until only 50% of
the cells formed colonies. A total of 2 × 107 mutagenized
cells were plated on two 14 cm dishes containing growth inhibitory
concentrations of kendomycin. After 4 days, resistant colonies could
be isolated and were restreaked onto selective plates. Detailed experimental
procedures were followed as described.[33]
Chemogenetic Screening
HCT116 cells were grown in McCoy’s
5A medium supplemented with 10% fetal bovine serum (FBS). EMS-mutagenized
and untreated cells were seeded in 10 cm dishes at a density of 0.5
× 106 cells/dish. Then, 24 h after plating the medium
was removed and replaced with media containing a range of concentrations
of the compound. Selection was maintained for 14 days by replacement
of medium and compound every 48–72 h. Colonies were isolated
from selection plates at an uppermost selection concentration of 2
μM kendomycin. Resistance of isolated cell lines to a panel
of cytotoxic compounds compared to the parental pool of HCT116 cells
and cell lines showing generalized increase in resistance were discarded.
In total 18 cell lines showing mild resistance to kendomycin were
obtained, eight of which were derived from cells that were treated
with EMS 24 h prior to initiation of selection as described.[34] Confirmed cell lines were then subjected to
whole-genome sequencing.
Chemogenomic Profiling
Yeasthaploinsufficiency
profiling,[14] measuring individual kendomycinhypersensitivity
of a genome-wide collection of heterozygous deletion strains relative
to the isogenic wild-type; CRISPR profiling, measuring hypersensitivity
of HCT116mammalian cells transduced with a genome-wide sgRNA library
resulting in editing of all annotated protein-coding genes;[18] and CCLE profiling,[10] measuring IC50 curves of cytotoxic compounds against
the Cancer Cell Line Encyclopedia, were performed as described.
Bacterial Growth Inhibition
Mid logarithmic B. subtilis cultures in LB medium samples were back-diluted
to low optical density, and 125 μL of cultures was dispensed
with an electronic multichannel pipet into a 96-well plate. Then,
5 μL from an 8-point kendomycin serial dilution series was added
to the wells of six columns to allow for data sets in duplicates.
Two columns were supplemented with freshly prepared 0.25 mM FeCl2 or 0.25 mM CuCl2, respectively. Plates were incubated
at 37 °C with 1000 rpm orbital shaking, and cell densities determined
by A600.
Yeast Growth Inhibition
Single-colony inhibition was
performed as described.[33] Colonies were
then washed off the plates with 1 mL of PBS, and cell densities determined
by A600 measurement.
Mammalian Growth
Inhibition
HCT-116 cells were maintained
at 37 °C, 5% CO2 in McCoy’s 5A medium supplemented
with 10% FBS. For cell proliferation assays, cells were seeded in
96-well viewplates (PerkinElmer, cat. no. 6005182) at a density of
2500 cells/well. Then, 16 h after plating the cells were treated with
the indicated compounds or carrier. Next, 72 h after compound dosing
the medium was supplemented with 10% Alamar Blue (resazurin) and the
cells were returned to the incubator for a further 4 h. Fluorescence
intensity (excitation 580 nm, emission 620 nm) was measured using
a microplate reader (PerkinElmer EnSpire). Viability was calculated
as a percentage of maximal growth under carrier, and dose–response
curves were calculated using GraphPad Prism 7. Dose–response
curves were calculated from quadruplicate technical replicates.For cell imaging time courses, cells were seeded in 24-well imaging
plates (Nunc Nunclon-treated multiwell dishes) at a density of 25 000
cells/well. Then, 16 h after plating, the cells were treated with
indicated compounds or carrier. Immediately following dosing, plates
were loaded into a precalibrated CellIQ continuous cell culturing
platform. Cultures were imaged at 3 points per condition every 10
min for 48 h.
NMR Analysis
Standard 1D and 2D
NMR methodology was
applied for structure elucidation and titration experiments. For NMR
spectral assignment, 0.4 mg of kendomycin was dissolved in 500 μL
of DMSO-d6/D2O (80%:20% v/v).
The obtained clear solution was transferred into a 5.0 mm NMR sample
tube for measurement. 1H and 13C detected 1D
and 2D NMR spectra of the sample were recorded at 300 K using a Bruker
600 MHz AVANCE III HD spectrometer equipped with a 5.0 mm 13C{1H} CryoProbe with a z-gradient system.
For titration experiments 1.0 mg of kendomycin was dissolved in 600
μL of DMSO-d6/D2O (85%:15%
v/v) in the presence of 0.33, 0.66, and 1.0 equiv of either CuSO4 or FeSO4. The obtained orange to dark red solutions
were transferred into 5.0 mm NMR sample tubes prior to acquisition. 1H NMR data were recorded at 300 K using a Bruker 500 MHz AVANCE
III spectrometer equipped with a 5 mm BBO probe with a z-gradient system. All spectra were referenced according to the internal
solvent signal (1H: DMSO = 2.50 ppm and 13C:
DMSO = 39.5 ppm).
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Authors: Tina Junne; Joanne Wong; Christian Studer; Thomas Aust; Benedikt W Bauer; Martin Beibel; Bhupinder Bhullar; Robert Bruccoleri; Jürg Eichenberger; David Estoppey; Nicole Hartmann; Britta Knapp; Philipp Krastel; Nicolas Melin; Edward J Oakeley; Lukas Oberer; Ralph Riedl; Guglielmo Roma; Sven Schuierer; Frank Petersen; John A Tallarico; Tom A Rapoport; Martin Spiess; Dominic Hoepfner Journal: J Cell Sci Date: 2015-01-22 Impact factor: 5.285
Authors: Jordi Barretina; Giordano Caponigro; Nicolas Stransky; Kavitha Venkatesan; Adam A Margolin; Sungjoon Kim; Christopher J Wilson; Joseph Lehár; Gregory V Kryukov; Dmitriy Sonkin; Anupama Reddy; Manway Liu; Lauren Murray; Michael F Berger; John E Monahan; Paula Morais; Jodi Meltzer; Adam Korejwa; Judit Jané-Valbuena; Felipa A Mapa; Joseph Thibault; Eva Bric-Furlong; Pichai Raman; Aaron Shipway; Ingo H Engels; Jill Cheng; Guoying K Yu; Jianjun Yu; Peter Aspesi; Melanie de Silva; Kalpana Jagtap; Michael D Jones; Li Wang; Charles Hatton; Emanuele Palescandolo; Supriya Gupta; Scott Mahan; Carrie Sougnez; Robert C Onofrio; Ted Liefeld; Laura MacConaill; Wendy Winckler; Michael Reich; Nanxin Li; Jill P Mesirov; Stacey B Gabriel; Gad Getz; Kristin Ardlie; Vivien Chan; Vic E Myer; Barbara L Weber; Jeff Porter; Markus Warmuth; Peter Finan; Jennifer L Harris; Matthew Meyerson; Todd R Golub; Michael P Morrissey; William R Sellers; Robert Schlegel; Levi A Garraway Journal: Nature Date: 2012-03-28 Impact factor: 49.962
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