Target identification and mechanistic studies of cytotoxic agents are challenging processes that are both time-consuming and costly. Here we describe an approach to mechanism of action studies for potential anticancer compounds by utilizing the simple prokaryotic system, E. coli, and we demonstrate its utility with the characterization of a ruthenium polypyridyl complex [Ru(bpy)2dmbpy2+]. Expression of the photoconvertible fluorescent protein Dendra2 facilitated both high throughput studies and single-cell imaging. This allowed for simultaneous ratiometric analysis of inhibition of protein production and phenotypic investigations. The profile of protein production, filament size and population, and nucleoid morphology revealed important differences between inorganic agents that damage DNA vs more selective inhibitors of transcription and translation. Trace metal analysis demonstrated that DNA is the preferred nucleic acid target of the ruthenium complex, but further studies in human cancer cells revealed altered cell signaling pathways compared to the commonly administrated anticancer agent cisplatin. This study demonstrates E. coli can be used to rapidly distinguish between compounds with disparate mechanisms of action and also for more subtle distinctions within in studies in mammalian cells.
Target identification and mechanistic studies of cytotoxic agents are challenging processes that are both time-consuming and costly. Here we describe an approach to mechanism of action studies for potential anticancer compounds by utilizing the simple prokaryotic system, E. coli, and we demonstrate its utility with the characterization of a ruthenium polypyridyl complex [Ru(bpy)2dmbpy2+]. Expression of the photoconvertible fluorescent protein Dendra2 facilitated both high throughput studies and single-cell imaging. This allowed for simultaneous ratiometric analysis of inhibition of protein production and phenotypic investigations. The profile of protein production, filament size and population, and nucleoid morphology revealed important differences between inorganic agents that damage DNA vs more selective inhibitors of transcription and translation. Trace metal analysis demonstrated that DNA is the preferred nucleic acid target of the ruthenium complex, but further studies in humancancer cells revealed altered cell signaling pathways compared to the commonly administrated anticancer agent cisplatin. This study demonstrates E. coli can be used to rapidly distinguish between compounds with disparate mechanisms of action and also for more subtle distinctions within in studies in mammalian cells.
Entities:
Keywords:
bacterial cytological profiling; cancer; cisplatin; drug discovery; ruthenium
The fortuitous observation
of filamentous growth of E.
coli by Barnett Rosenberg led to the discovery of cisplatin,
one of the most important and widely used chemotherapeutic agents.[1−3] Cisplatin, and its later generation analogues, are essential components
in clinical treatments of ovarian, testicular, small-cell lung, and
head and neck cancers.[4−6] The administration of platinum drugs, however, is
limited by adverse side effects, including nephrotoxicity, neurotoxicity,
ototoxicity, and other complications.[7,8] Drug resistance
(either intrinsic or acquired) compromises the efficacy of platinum
drugs as well.[9−11] These deficiencies have necessitated the development
of new chemotherapeutic agents to overcome such obstacles.Significant
efforts have been applied in the field of medicinal
inorganic chemistry to identify cytotoxic agents that replicate the
efficacy of cisplatin, with the hope of adding to our current arsenal
of chemotherapeutic drugs.[12−14] While many of the new chemical
entities show promising efficacy, the understanding of their biological
activities is often incomplete. The very nature of inorganic agents
(with variable charge states, geometries, and coordination numbers,
all of which can be altered by speciation) adds to the challenge and
can result in polypharmacology.[13,15] As a result, elucidation
of the biological effects of potential medicinal inorganic agents
has lagged far behind chemical innovation. For example, oxaliplatin,
which has been in clinical use for over 20 years, was recently reported
to induce ribosome biogenesis stress,[16] rather than the previously accepted mechanism similar to cisplatin
involving DNA damage. Organic or inorganic agents developed through
target-based drug discovery avoid some of these pitfalls, but undesired
off-target effects are prevalent for these systems as well. Thus,
mechanistic studies are necessary even for compounds designed to inhibit
single, well-validated targets.[17−19]Despite multiple technological
advances, the identification of
the mechanism of action for cytotoxic compounds remains a time-consuming
and challenging process. While simple in vitro systems
such as purified enzymes and nucleic acids can provide key insights,
there are undeniable advantages to working in living cells. Bacteria
are intrinsically simpler systems than eukaryotic cells, with E. coli containing only 4288 genes,[20,21] as opposed to the approximately 30 000 genes found in the
human genome.[22,23] Essential processes are homologues
between bacteria and eukaryote, including DNA replication, transcription,
and translation. It is well-known that many agents that are toxic
to eukaryotic systems also have antibacterial activities, such as
classical antitumor antibiotics, though many orthogonal variations
do exist between the two.[24,25]Rosenberg’s
classical experiment illustrated that a simple
prokaryotic system could be employed to discover anticancer agents.
Recently, other groups, including those of Lippard and Brabec, have
utilized E. coli phenotypic assays as qualitative
means to characterize potential anticancer agents, and as with cisplatin,
a good correlation was shown between activity in the prokaryotic system
and cancer cells.[26−28] We also have an interest in simple biological systems,
but our motivation is instead to utilize them as a tool to investigate
mechanistic details of anticancer agents. Our premise is that compounds
that are found to be active in mammalian cells but not in E. coli can be expected to affect processes or targets absent
in the simpler biological system. Alternatively, compounds that show
similar activities in the two cell types can be deduced to inhibit
processes common to both. Thus, it should be possible to use E. coli as a first-pass screen to radically reduce the number
of likely biological entities or processes targeted by cytotoxic agents.
Furthermore, E. coli is readily amenable to the incorporation
of genetically encoded reporter systems, allowing for additional phenotypic
analysis to be used to rapidly parse mechanistic features of active
compounds.[18,29] This approach could greatly expedite
mechanism of action studies.Here we describe studies that demonstrate
that E. coli is an excellent model for mammalian
systems for investigating the
effect of metal complex inhibition of cell growth and phenotypic changes
consistent with DNA damage.[30] A promising
light-activated ruthenium complex developed in our laboratory[31] (compound 1, Scheme ) was compared to cisplatin, along with three
organic antibiotics. Noteworthy differences were observed between
the inorganic compounds and organic compounds in the bacterial system;
these differences directly correlate with their different mechanisms
of action. Moreover, differences between compound 1 and
cisplatin in mammalian cells suggest more subtle disparities in their
mechanistic features, which offers the possibility to maintain anticancer
efficacy without experiencing the same resistance profile by altering
the metal center from platinum to ruthenium.
Scheme 1
Thermal Hydrolysis
of Cisplatin and the Photochemical Hydrolysis
of Compound 1
Methods
E. coli Culture Maintenance
The Dendra2
gene was cloned into a pCW-ori plasmid modified to contain an N-terminal
6× histidine tag with multiple restriction enzyme cloning sites. Escherichia coli BL21(DE3) competent cells transformed with
pCWori plasmid containing Dendra2 gene (pCWori-Dendra2) were cultured
in Luria Broth (LB) at 37 °C with 180 rpm shaking.
Mammalian Cell
Maintenance
Human promyelocytic leukemia
HL60 cells were purchased from ATCC. Dulbecco’s modified eagle
medium (DMEM), Iscove’s modified Dulbecco’s medium (IMDM),
Opti-MEM I reduced serum medium, heat inactivated fetal bovine serum
(FBS), penicillin/streptomycin (5000 U/mL), trypsin–EDTA (0.5%),
Dulbecco’s phosphate buffered saline (DPBS), and Trypan Blue
Solution (0.4%) were purchased from Life Technologies.HL60
cells were maintained in IMDM supplemented with 10% FBS and 50 U/mL
of penicillin/streptomycin. A549 cells were maintained in DMEM with
the same supplements. Cells were maintained at 37 °C with 5%
CO2.
Cytotoxicity Determination
E. coli BL21(DE3) cells transformed with pCWori-Dendra2
plasmid were plated
in M63 minimal medium at 4 × 106 cells per well in
96 well flat bottom transparent tissue culture treated plates (Greiner
Bio One). Compounds were dosed from 0–300 μM, followed
by 3 min of light irradiation (7 J/cm2 blue light (>400
nm)). The cells were then incubated for 16 h with the compounds, and
cell growth was determined by measurement of the optical density at
600 nm using a SpectraMax Multiwell Plate Reader (Molecular Devices).HL60 cells were plated in Opti-MEM supplemented with 1% FBS and
50 U/mL of penicillin/streptomycin at 30 000 cells per well
in 96 well flat bottom transparent tissue culture treated plates (Greiner
Bio One). Compounds were dosed from 0–300 μM and incubated
for 16 h, followed by light irradiation with 7 J/cm2 blue
light (>400 nm) in 30 s pulses for a total light exposure of 3
min.
The cells were then incubated for 72 h, and cell viability was determined
by conversion of resazurin to resorufin. Dark controls were run in
parallel. The emission of resorufin was measured on a SpectraFluor
Plus Plate Reader (Tecan).The data were normalized to the untreated
control and fitted to
a sigmoidal dose response model using Prism 6.02 to determine IC50 values. Minimal inhibitory concentration (MIC) was fitted
to the model published by Lambert et al. using Prism 6.02.[32]
Protein Synthesis Inhibition
E. coli BL21DE3 cells transformed with pCWori-Dendra2 were
cultured in LB
medium to an OD600 of 0.8. Cells were then resuspended
in M63 minimal media and induced with 0.5 mM IPTG for 3 h at 37 °C
with 180 rpm shaking. Photoconversion of Dendra2 was carried out with
a 405 nm LED flood array (Loctite) with a total light exposure time
of 2 min. Cells were then plated in 96 well plates at 6 × 107 cells per well. Green and red emission was measured directly
after photoconversion using a SpectraMax Multiwell Plate Reader (Molecular
Devices) for a baseline evaluation of Dendra2 protein (t = 0 h). For green emission, an excitation wavelength of 491 nm and
emission wavelength of 538 nm was used; for red emission, the excitation
wavelength was 544 nm and emission wavelength was 590 nm. Compounds
were then dosed from 0 to 300 μM, and compound 1 was activated with light as described above. The cells were incubated
for 16 h before the green and red emission was measured again for
an evaluation of protein synthesis with compound treatment (t = 16 h).The average fluorescence ratio of green/red
at t = 0 and 16 h was calculated, the values were
normalized, and the data fitted to a sigmoidal dose response.
E. coli Filamentous Growth
E. coli were cultured as above and plated at 3 × 108 cells
per well in 24 well flat bottom transparent tissue
culture treated plates (Greiner Bio One). IPTG was added at a concentration
of 0.5 mM for induction of Dendra2 production. Compound treatment
was then carried out, with cells dosed at the MIC or 10× MIC
for each compound and cultured at 37 °C with 180 rpm of shaking
for 6 and 16 h before imaging.
E. coli Cell Imaging
After compound
treatment, E. coli cells were centrifuged at 8000
rpm for 2 min, washed twice with PBS, and 3 × 107 cells
were resuspended in 1 mL of PBS. The fluorescent dyes FM4–64
and Hoechst 33342 were added to a final concentration of 5 and 10
μg/mL respectively. The cells were protected from light for
20 min, and then, 2 μL of cell suspension was placed on a slide,
and a cover glass was applied before imaging. Imaging was carried
out on an Olympus IX2-RFAEVA-2 microscope with the following filter
settings:Dendra2 (green), excitation filter: 473/10 nm BrightLine
single-band bandpass filter, FF01–473/10–25 (Semrock,
Rochester, NY, USA); emission filter: 525/50 nm BrightLine single-band
bandpass filter, FF03–525/50–25 (Semrock, Rochester,
NY, USA). Dendra2 (red) and FM4–64, excitation filter: HQ 550/30
(Chroma, Bellows Falls, VT, USA); emission filter: 664 nm EdgeBasic
long-pass edge filter, BLP01–664R-25 (Semrock, Rochester, NY,
USA). Hoechst 33342, excitation filter: BP 360–390 (Chroma,
Bellows Falls, VT, USA); emission filter, HQ470/30 M (Chroma, Bellows
Falls, VT, USA).Imaging data was processed and analyzed with
ImageJ.
Metal Uptake in Bacterial Cells
E. coli were cultured in M63 minimal medium as discussed above and dosed
with 20 μM compound 1 or cisplatin. Cells treated
with compound 1 were irradiated with 7 J/cm2 blue filtered light (>400 nm) for a total of 3 min or were protected
from light. Cells were collected 24 h after compound addition by centrifugation
at 8000 rpm for 5 min. The culture medium was separated for analysis,
and cells were washed twice with PBS and pelleted. Both cell content and medium were heated at 110 °C
for 3 h with 20% (v/v) HNO3.Total RNA and genomic
DNA were isolated using Qiagen kits. RNA and DNA samples were digested
in HNO3 as described above. Following sample digestion,
the metal content was analyzed using a Varian AAS with a replicate
reading and a spiked reading.Cellular uptake was calculated
as followsGenomic DNA and total RNA were quantified by
measuring their absorbance
at 260 nm. Mass to DNA nucleotide pair conversion was calculated using
the average molecular weight of DNA nucleotide pairs. The number of
DNA nucleotide bases per metal center was calculated as followsMass to
RNA nucleotide base conversion was calculated using the
average molecular weight of RNA nucleotide bases. Number of RNA nucleotide
bases per metal center was calculated as follows
Metal Uptake in HL60 Cells
HL60 cells were plated in
Opti-MEM supplemented with 1% FBS and 50 U/mL penicillin/streptomycin
at a density of 1 × 106 cells/mL in 25 cm2 cell culture flasks and dosed with 20 μM compound 1 or cisplatin. Cells treated with compound 1 were incubated
12 h, protected from light, before irradiating with 7 J/cm2 blue filtered light (>400 nm) in 30 s pulses for a total of 3
min
or protected from light. Cells were collected 24 h after compound
addition by centrifugation at 124 × g for
5 min. The culture media was separated for analysis, and cells were
washed twice with PBS. Total RNA and genomic DNA were also isolated,
and the nucleic acids, cell content, and media were prepared for analysis
as described above.
Immunoblotting
HL60 cells were harvested
0, 1, 3, 6,
12, 24, 30, and 48 h after treatment, pelleted by centrifugation at
124 × g for 5 min, and washed twice
with DPBS. A549 cells were plated at 2 × 105 cells
per well in 6 well flat bottom transparent tissue culture treated
multiwell plates and in the same treatment conditions detailed for
HL60 cells. Cells were harvested at 0, 6, 12, 24, and 48 h after treatment.All cells were lysed in RIPA buffer supplemented with 5 mM sodium
pyrophosphate (2 × 106 cells/100 μL) for 15
min on ice. The insoluble fraction was removed by centrifugation at
2017 × g for 10 min at 4 °C. The supernatant
was collected, and the protein concentration was determined by BCA
assay. Protein (20 μg) was loaded onto 4–12% bis–tris
gels and followed by transfer to nitrocellulose membranes. After blocking
with 2.5% BSA in DPBS with 0.1% Tween20 (PBST) for 1 h at room temperature,
the membrane was immunoblotted with the following primary antibodies
and corresponding dilutions.Cleaved caspase 3, cleaved PARP,
p-p53, p21, p-Chk1, p-JNK and
γ-H2AX at 1:1000 dilutions; p53 and p-ERK at 1:500 dilutions;
and GAPDH at a 1:2000 dilution in 2.5% BSA overnight at 4 °C.
Immunoblots were washed with PBST for 10 min four times and incubated
for 1 h with secondary antibodies at a 1:10 000 dilution for
GAPDH and 1:5000 dilutions for all other antibodies. Detection was
carried out with Clarity Western ECL Substrate and imaged with a ChemiDoc
MP System (Bio-Rad).
DNA Fragmentation
HL60 cells were
cultured and treated
as described above. Cells were harvested at 0, 3, 8, 12, 24, and 30
h after treatment, pelleted by centrifugation at 124 × g for 5 min, washed twice with DPBS, and prepared with an
apoptotic DNA-ladder kit as per manufacturer instructions (Rosch).
Gel electrophoresis was carried out using a 1% agarose gel containing
0.5 μg/mL ethidium bromide for 90 min at 75 V. Gel imaging was
performed with the ChemiDoc MP.
Flow Cytometry
HL60 cells were cultured and treated
as detailed previously. Cells were harvested at 24 h after treatment,
pelleted by centrifugation at 124 × g for 5
min, and washed twice with DPBS. For cell death mechanism analysis,
cells were stained 15 min with FITC–Annexin V and PI; for cell
cycle analysis, cells were stained 15 min with PI only. Cells were
analyzed with a FACSCalibur (Becton-Dickenson). A minimum of 20 000
events were measured for each sample.
Results
Comparison
of Compound Efficacies in E. coli and Mammalian Cancer
Cells
The capacity of E. coli to serve as
a model system for cancer cells was first evaluated
by comparing the relative cytotoxicities of the metal complexes in
the two cell types. The ruthenium complex prodrug, compound 1, and cisplatin were tested in dose response, along with
the antibiotics rifampicin, tetracycline, and nalidixic acid. Optical
density was used to quantify the response in E. coli. The activity of 1 was evaluated both in the absence
of light and after light activation (described as “dark”
and “light”; irradiation results in the formation of
compound 2; Scheme ). The half maximal inhibitory concentration (IC50) value was compared with the minimum inhibitory concentration
(MIC),[33] an important clinical standard
parameter[32−35] that effectively defines the lowest concentration to achieve a complete
inhibition effect. As shown in Table , IC50 values of 2.6 and 2.0 μM for
light-activated 1 and cisplatin were obtained in E. coli, with MIC values that were 2–3-fold higher.
Table 1
Cytotoxicity Values and Inhibition
of Protein Production for Various Compounds in E. coli and HL60 Cells
E. coli
HL60
MIC (μM)
growth inhibition IC50 (μM)
Dendra2 production inhibition IC50 (μM)
cytotoxicity IC50 (μM)
1 light
6.1 ± 0.8
2.6 ± 0.4
77 ± 3
3.4 ± 0.3
1 dark
>300
>300
>300
>300
cisplatin
4.4 ± 0.5
2.0 ± 0.1
85 ± 11
2.6 ± 0.4
rifampicin
0.6 ± 0.3
0.3 ± 0.1
2.8 ± 0.3
n.d.
tetracycline
10 ± 1.1
4.8 ± 0.7
1.3 ± 0.2
n.d.
nalidixic acid
5.2 ± 2.0
2.6 ± 0.4
4.6 ± 0.1
n.d.
The biological activity of cisplatin
and compound 1 was also studied in human promyelocytic
leukemia HL60 cells. This
relatively fast growing suspension cell line was chosen over adherent
cell lines to more closely resemble bacterial growth conditions. Upon
light irradiation, 1 exhibited an IC50 of
3.4 μM, similar to the IC50 of 2.6 μM for cisplatin.
No cytotoxic effect was seen for compound 1 at 300 μM
in the dark, resulting in a phototoxicity index (PI) of >88. As
expected,
the cytotoxicity of cisplatin was not affected by treatment with light.
These experiments demonstrated that light irradiated 1, like cisplatin, is cytotoxic in both prokaryotic and eukaryotic
cells, and with very similar potencies, suggesting the mechanism of
action is through general cellular targets or biological processes
present in both cell types.
Cellular Uptake and Nucleic Acid Metalation
Cellular
uptake of the metals in E. coli was measured by atomic
absorption spectroscopy (AAS; Table ). Light irradiation of compound 1 resulted
in a 5-fold increase in cellular uptake, with a total of 10% of the
dosed compound localized in E. coli cells. Only 6%
of the dosed cisplatin was found in the cells.
Table 2
Cellular Metal Uptake and Metal Content
with Different Nucleic Acids Measured by AAS
E.
coli
HL60
cellular uptakea
DNA nt/mcb
RNA nt/mcc
cellular uptakea
DNA nt/mcb
RNA nt/mcc
1
light
10%
2000 ± 200
3800 ± 600
0.64%
4800 ± 400
5000 ± 700
1 dark
2%
-d
-d
0.11%
-d
-d
cisplatin
6%
3000 ± 200
4700 ± 900
0.72%
7000 ± 200
7800 ± 700
Cellular uptake was calculated as
metal content measured in cells divided by total metal content in
both cell samples and cell culture media samples.
DNA nt/mc was calculated as DNA
nucleotide bases (μmol) divided by metal content measured in
DNA sample (μmol).
RNA nt/mc was calculated as RNA
nucleotide bases (μmol) divided by metal content measured in
DNA sample (μmol).
Ruthenium levels in DNA and RNA
samples were under the detection limit (<2 ppb).
Cellular uptake was calculated as
metal content measured in cells divided by total metal content in
both cell samples and cell culture media samples.DNA nt/mc was calculated as DNA
nucleotide bases (μmol) divided by metal content measured in
DNA sample (μmol).RNA nt/mc was calculated as RNA
nucleotide bases (μmol) divided by metal content measured in
DNA sample (μmol).Ruthenium levels in DNA and RNA
samples were under the detection limit (<2 ppb).Genomic DNA and total RNA isolation
was performed after 24 h of
treatment, followed by AAS analysis for ruthenium or platinum. While
no ruthenium was found with either of the nucleic acids for compound 1 in the dark, 1.3% of the ruthenium was found with the DNA
when the compound had been exposed to light. This corresponds to a
ratio of 2000 nucleotide bases per metal center (nt/mc). Only 0.5%
of ruthenium was found with the RNA, providing a ratio of 3800 nt/mc.
As a result, the active compound 2 appears to be slightly
more reactive with DNA than RNA, with about a 1.5–2-fold difference
between the metal levels in the two nucleic acids. A similar trend
of increased reactivity with DNA over RNA was observed for cisplatin,
with 3000 nc/mc in DNA and 4700 nt/mc in RNA, to give a 1.6-fold difference
in apparent reactivity.The uptake of the compounds was also
assessed in mammalian cells.
After 24 h of treatment with 20 μM of compound 1, 0.64% of dosed ruthenium was found in HL60 cells with light irradiation,
in contrast to only 0.11% present when the cells were kept in the
dark. These results indicate that the prodrug form is taken up much
less effectively than the active species. The metal content of the
active compound in cells is comparable to the 0.72% of cisplatin that
accumulated under the same conditions. Isolation of DNA and RNA and
metal content analysis revealed that no nucleic-acid-bound ruthenium
was observed for 1 in the dark, but treatment of 1 and irradiation resulted in 4800 nt/mc in DNA and 5000 nt/mc
in RNA. This corresponds to 1.3% of the cellular ruthenium found with
the DNA and 2.0% in the RNA. Quantification of the metal binding of
cisplatin gave 7000 nt/mc in DNA and 7800 nt/mc in RNA (1.1 and 1.5%).
The nucleotide base to metal center ratios were close, but consistently
a slightly higher reactivity was observed with DNA for both irradiated
compound 1 and cisplatin.It has been reported
by DeRose et al. that platinum accumulates
more in the cellular RNA than DNA.[36] This
is partly due to the higher abundance of RNA in the cell (10–50-fold).
Despite this difference in abundance for the different nucleic acids,
DeRose demonstrated that there is a 3.8-fold preference for cisplatin
to react with DNA vs RNA in S. cerevisiae, with 1661
nt/mc in DNA and 6369 nt/mc in RNA after 12 h of treatment at 100
μM.[36] While our study used 20 μM
of cisplatin treatment for 24 h, we observed the same preferential
metal binding with DNA over RNA in both E. coli and
mammaliancancer cells, though we observed a closer nt/mc ratio between
DNA and RNA. This similar binding trend across different cell types
reveals once more that cisplatin exhibits a general DNA damaging ability
in both eukaryotic and prokaryotic systems. The similar biological
accumulation characteristics of compound 1 and cisplatin
in bacterial, yeast, and mammalian cells suggest a mechanism of action
through common biological targets or processes present in both prokaryotic
and eukaryotic cell types. In combination with extensive in vitro
DNA damaging assays,[31,37] this supports a DNA-based mechanism
of action, though multiple subsequent events may be involved that
induce the cytotoxic effects.
Phenotypic Analysis of E. coli following Compound
Treatment
Filament Size
For imaging studies,
the MIC was used in order to more closely mimic physiological treatment
conditions; data was also taken at 10× MIC. The cytological characteristics
of the E. coli were assessed, and elongated cells
were observed after treatment with cisplatin and compound 1 with irradiation (Figure ). Treatment with 1 in the absence of light did
not induce E. coli filamentous growth, and the cells
were characterized by the same short rod shaped morphology as the
untreated control.
Figure 1
Complex 1 induces filamentous growth and
decreased
protein production in E. coli. Bright field and fluorescent
imaging of E. coli cells. (A) N. C. control, (B)
cisplatin, (C) compound 1 with light, (D) compound 1 in the dark. Size distribution histograms of E.
coli cells associated with the conditions for (A–D):
(E) N. C. control, (F) cisplatin, (G) compound 1 with
light, (H) compound 1 in the dark. Histograms of average
fluorescence intensity correlated to cell size with the different
treatments: (I) N. C. control, (J) cisplatin, (K) compound 1 with light, (L) compound 1 in the dark. Cells were
treated with 100 μM of each compound for 6 h before imaging.
Complex 1 induces filamentous growth and
decreased
protein production in E. coli. Bright field and fluorescent
imaging of E. coli cells. (A) N. C. control, (B)
cisplatin, (C) compound 1 with light, (D) compound 1 in the dark. Size distribution histograms of E.
coli cells associated with the conditions for (A–D):
(E) N. C. control, (F) cisplatin, (G) compound 1 with
light, (H) compound 1 in the dark. Histograms of average
fluorescence intensity correlated to cell size with the different
treatments: (I) N. C. control, (J) cisplatin, (K) compound 1 with light, (L) compound 1 in the dark. Cells were
treated with 100 μM of each compound for 6 h before imaging.To gain a more quantitative understanding
of filament formation
in populations, cells in multiple views (∼200 per condition)
were chosen for size analysis. Treatment at 10× MIC with cisplatin
and compound 1 with irradiation caused a shift in population
distribution, where 68 and 73% of cells were filamentous for cisplatin
and 1, respectively. The major population group at 100
μM 1 were cells over 40 μm long (29%), and
only 5% of the cells were in the ≤5 μm size range. The
same trend was seen after cisplatin treatment, and the histograms
for the population of filaments are remarkably similar (Figure F,G). In contrast, at the MIC,
both the filament length and % filamentous population were lower,
with only 30 and 41% of cells forming filaments for cisplatin and 1 (Figures E and S4). As shown in the histograms
in Figure E,H, both
the no treatment control and dark control for compound 1 exhibited a dominant population (over 97%) of cells in the ≤5
μm size range, which represents the normal E. coli cell size. Thus, filamentation is only associated with the light-activated
form of 1.
Figure 2
Phenotypic profiles of compounds with different
mechanisms of action
in E. coli cells. Fluorescent imaging: (A) top: N.
C. control; middle: cisplatin; bottom: compound 1 with
light; (B) top: rifampicin; middle: tetracycline; bottom: nalidixic
acid. The merge is the combination of the Hoechst and FM4–64
membrane stain. Colony forming experiment with various compounds:
(C) left: N. C. control; middle: cisplatin; right: compound 1 with light; (D) left: nalidixic acid; middle: rifampicin;
right: tetracycline. Cells were treated with each compound at MIC
for 6 h before imaging or colony forming. (E) Quantitative and qualitative
analysis of E. coli filamentous growth and nucleoid
morphology phenotypes in response to compound treatment.
Phenotypic profiles of compounds with different
mechanisms of action
in E. coli cells. Fluorescent imaging: (A) top: N.
C. control; middle: cisplatin; bottom: compound 1 with
light; (B) top: rifampicin; middle: tetracycline; bottom: nalidixic
acid. The merge is the combination of the Hoechst and FM4–64
membrane stain. Colony forming experiment with various compounds:
(C) left: N. C. control; middle: cisplatin; right: compound 1 with light; (D) left: nalidixic acid; middle: rifampicin;
right: tetracycline. Cells were treated with each compound at MIC
for 6 h before imaging or colony forming. (E) Quantitative and qualitative
analysis of E. coli filamentous growth and nucleoid
morphology phenotypes in response to compound treatment.It has been observed that many compounds induce
filamentous growth
of E. coli. In order to determine if this morphological
feature corresponds to the compounds’ mechanisms of action,
we compared the metal-based compounds, preliminarily classified as
DNA cross-linkers, to two commonly used antibiotics that inhibit transcription
or translation, and one gyrase inhibitor. Rifampacin prevents transcription
by binding and inhibiting the bacterial DNA-dependent RNA polymerase
(RNAP),[38−40] and tetracycline inhibits translation via binding
to the 30S subunit of the ribosome, preventing entrance of aminoacyl-tRNAs
to the A-site. These compounds were selected as agents that do not
induce DNA damage.[41−43] Nalidixic acid, which inhibits gyrase and induces
DNA double-strand breaks, was investigated as a DNA damaging agent
with a distinct mechanism of action from cisplatin.[44,45]All antibiotics were able to induce E. coli filaments,
but the populational size analysis revealed that the major populations
of E. coli varied significantly in length. Tetracycline
treatment at the MIC resulted in a large fraction (88%) of the cell
population of normal length, with only 22% forming short (5–10
μm) filaments. In marked contrast, nalidixic acid induced very
long filamentation, and the filaments were the only population (100%;
average length of 51 μm). For rifampicin, a concentration of
10× MIC was required to induce any filaments. Treatment at this
concentration resulted in 30% of the population forming short filaments
of 5–10 μm; 70% of cells were normal length (≤5
μm; Figure S2). This initial analysis
made clear that compound 1, cisplatin, and nalidixic
acid all induced longer filaments that were a larger portion of the
population under all treatment conditions than antibiotics that inhibited
transcription or translation.
Membrane
Integrity
The membrane stain
FM4–64 was used to confirm that the observed filaments were
single cells and to visualize membrane integrity. As shown in Figure A,B, filaments were
formed by single cells upon compound treatment. No disruption of the
cell membrane was observed, indicating that the phenotypic changes
were not associated with cell lysis. This is consistent with results
that were obtained utilizing Trypan blue staining of HL60 cells, which
indicated that neither of the two metal compounds act as membrane
damaging agents. Thus, the abnormal features observed occur in live
cells and are not an artifact resulting from physical disruptions
of cellular integrity. In addition, the mechanism of action does not
entail membrane damage.
Nucleoid Morphology and Number
As E. coli contain a single chromosome, DNA staining
and analysis
allows for detection of DNA fragmentation or other morphological changes
due to compound treatment. Over 30 cells per treatment condition were
analyzed, and distinct effects were observed for the impact of the
different compounds on E. coli nucleoids (Figure A,B).Both
rifampicin and tetracycline treatment produced filaments with a regular
distribution of DNA. Rifampicin treatment (at 10× MIC) produced
the fewest nucleoids, with the majority of filaments containing a
single nucleoid that spread along the length of the cell. Tetracycline,
in contrast, produced a number of nucleoids in each of the filaments,
and the nucleoids were compact and regularly distributed throughout
the cell.In marked contrast, nalidixic acid, cisplatin, and
light irradiated 1 caused expansion, fragmentation, and
irregular distribution
of nucleoids. Both the size and distribution of the nucleoids within
the cells were quite varied. In order to quantify this observation,
the % STD (the ratio of the standard deviation to the average nucleoid
size, used as a measurement of variability; Figure S12) was calculated. The % STD was 38% for the no treatment
control and was 36–49% for the transcription and translation
inhibitors. In the metal complex and nalidixic acid treated systems,
however, the % STD was 121–160%. Values greater than 100% indicate
that the standard deviation of nucleoid size exceeded the average
size of the nucleoids. This large range of nucleoid size implicates
issues of DNA fragmentation and failure of DNA segregation after DNA
replication.[46] The morphological changes
in the bacterial nucleoids treated with the metal compounds and nalidixic
acid demonstrate a multifaceted process as a consequence of DNA damage,
in contrast with compounds that act to inhibit transcription or translation,
which did not result in DNA fragmentation.It is well-established
that the processes of transcription and
translation are closely coordinated in E. coli, and
the “transertion model” posits, in part, that coupled
transcription–translation and membrane association of the growing
protein impacts nucleoid morphology. Thus, any process that interferes
with mRNA production and protein synthesis could be reflected in the
nucleoids. A recent report demonstrated that transcription and translation
inhibitors affected E. coli nucleoid shape and spatial
distribution, with expansion observed with treatment of rifampicin
and compaction with tetracycline.[46] This
is qualitatively similar to our results. In addition, treatment with
nalidixic acid resulted in the observation of fragmented nucleoids,[46] similar to our imaging results with this compound
and the metal complexes. This supports our hypothesis that nucleoid
morphology can be used as a phenotypic indicator of DNA damage.A colony forming assay was performed to provide further support
for the assignment of a DNA damaging mechanism of action (Figure C,D). Cells were
treated at the MIC for each compound, and then, the media was removed,
and the cells were spread on an agarose plate. Only cells treated
with the transcription and translation inhibitors were able to form
colonies; the metal complexes and nalidixic acid were clearly cytotoxic
at their MIC. This supports a conclusion that these three compounds
induce irreversible damage to the E. coli, likely
through DNA.
Protein Production
Cisplatin and other
platinum-based agents are known to interfere with protein production.
Some question remains, however, if this is an important feature that
induces cell death, or simply a side effect of the DNA damage. Several
experiments have quantified the impact on protein production after
transfection of already metalated plasmids into living systems.[47,48] To study the process and impact of DNA metalation, we treated E. coli with the metal complexes and subsequently monitored
protein production. This experiment couples the quantitation of protein
levels in the detection of the fluorescent protein to the preceding
natural sequence of events that impact transcription/translation and
allows for observation of important features that may play a role,
such as compound uptake, localization within the cell, or sequence-dependent
interactions with the nucleic acid.Cells undergoing death will
slow or cease protein production, which produces a similar phenotype
to cells that are under the influence of a transcription or translation
inhibitor. To discriminate between inhibition of protein production
and induction of cell death, we used a photoconvertible protein, Dendra2,
as a reporter, since it is able to provide information on both aspects
of cell viability and new protein production simultaneously.[49] Dendra2 undergoes a photochemical reaction,
transforming from a green fluorescent protein to a red fluorescent
protein when exposed to 405 nm light. The photoconverted “Red”
Dendra2 emission provided a stable internal reference for cell health
and cell number for all samples, while new protein production (after
light exposure) is reflected in the “Green” Dendra2
emission. Both forms are stable and persist in living cells with half-lives
(t1/2) on the order of 50 to 70 h.[50−52] The two forms of the protein thus provide spatial and temporal tracking
of Dendra2 formed before and after light exposure.Dendra2 production
was induced in E. coli with
IPTG and allowed to proceed for 3 h before photoconversion, followed
by compound treatment. A clear negative correlation was seen between
protein production and cell size, where filamentous cells with longer
filament lengths exhibited a lower fluorescence intensity, reflecting
a reduction in the amount of new Dendra2 protein being produced. As
shown in Figure ,
after 24 h of treatment with compound 1, the average
fluorescence intensity of the cell population with the largest length
(>40 μm) dropped by over 70% compared to the control population.
Other populations with increased cell lengths exhibited a 30–70%
decrease in fluorescence intensity. The same trend was seen in cisplatin
treated cells, where the fluorescence intensity decreased by 15–80%,
depending on the length of the filament. Both compound dose and the
time of treatment was found to have an effect on filament formation
and protein production (see Figure S3–S5).The production of Dendra2 was quantified by dose response,
providing
IC50 values for inhibition of protein production. Protein
production was quantified using the ratio of the average fluorescent
intensity of the two forms of Dendra2, as shown in Figure . The transcription inhibitor
rifampicin and translation inhibitor tetracycline exhibited IC50 values for inhibition of Dendra2 production that matched
well with growth inhibition (within 3–10-fold; see Table and Figure ). In contrast, both compound 1 and cisplatin displayed a greater disparity between inhibition
of protein production and cell growth inhibition. The 30–40-fold
decrease in potency reflects that the mechanism of action of cisplatin
and compound 1 is not solely (or primarily) through transcription
or translation inhibition. In contrast, nalidixic acid, which induces
DNA double-strand breaks, was far more effective at inhibiting protein
production.
Figure 3
Dendra2 expression in E. coli cells. (A) Dendra2
distribution in cells and filaments; Red Dendra2 (left), Green Dendra2
(middle), merge (right). From top to bottom: N. C. control; cisplatin
(100 μM); compound 1, light (100 μM); rifampicin
(3 μM); tetracycline (48 μM). Cells were treated for 6
h before imaging. The scale bar is 20 μM. (B) Dendra2 production
inhibition after 16 h of treatment. Compound treatment only affects
the production of new, green Dendra2. (C) Dose response of Dendra2
production inhibition measured at 0 and 16 h after treatment with
cisplatin (blue), compound 1 with light (red), rifampicin
(green), tetracycline (black).
Dendra2 expression in E. coli cells. (A) Dendra2
distribution in cells and filaments; Red Dendra2 (left), Green Dendra2
(middle), merge (right). From top to bottom: N. C. control; cisplatin
(100 μM); compound 1, light (100 μM); rifampicin
(3 μM); tetracycline (48 μM). Cells were treated for 6
h before imaging. The scale bar is 20 μM. (B) Dendra2 production
inhibition after 16 h of treatment. Compound treatment only affects
the production of new, green Dendra2. (C) Dose response of Dendra2
production inhibition measured at 0 and 16 h after treatment with
cisplatin (blue), compound 1 with light (red), rifampicin
(green), tetracycline (black).While cisplatin has been described as a transcription inhibitor,
it was the least effective of the five compounds tested for inhibition
of protein production. The impact of the DNA damage induced by platinum
compounds on protein production has been comprehensively and conclusively
proven, along with the restoration of protein production when the
appropriate DNA repair mechanisms are activated to remove the lesions.
However, our studies suggest that the inhibition of protein production
by cisplatin is of secondary importance for the health of E. coli, as the concentrations required to observe a significant
impact on this process far exceeded the toxic dose for the compound.In an analogous study, Lippard and co-workers tested cisplatin
in mammalian cells containing a genetically encoded fluorescent reporter
system.[53] Very good agreement was observed
between the concentrations required to inhibit protein synthesis and
to induce cytotoxicity evaluated via a colony counting assay in that
report. The reason for the disparity in the ability of cisplatin to
inhibit protein production in E. coli compared to
the HeLa cells used by Lippard is unclear. It is particularly surprising,
given the very similar values we found for DNA and RNA metalation
in E. coli and HL60 cells, as described above. However,
due to the sensitivity of DNA damage detection mechanisms in mammalian
cells, it seems unlikely that translation would be affected before
initiation of the DNA damage response.
Protein
Distribution
The use of a photoconvertible
protein allows for a spatiotemporal analysis of protein content. This
provided the opportunity to address intriguing questions such as the
impact of interruption of cell division and filamentous growth on
the activity of ribosomes for new protein production, and the redistribution
of existing protein within a filamentous cell. Fluorescent imaging
was performed to probe the effects of the different compounds on protein
distribution in single cells. Compounds were dosed after Dendra2 photoconversion,
and imaging was performed 6 h later. As shown in Figure A, both the “Red”
Dendra2 (the internal control of pretreatment protein level) and the
“Green” Dendra2 (reflecting protein synthesis after
treatment) were distributed throughout the cell, as the healthy cells
underwent multiple cell divisions. Both Red and Green forms of Dendra2
were also found within the filamentous cells where cell division was
blocked by either DNA damaging agents or transcription/translation
inhibitors. It has been reported that disruption of DNA replication
and double-strand breaks resulting from nalidixic acid treatment could
lead to uneven distribution of ribosomes in filamentous cells.[46] However, we did not observe any particular spatial
sequestration of active ribosomes; alternatively, protein diffusion
is sufficiently rapid to prevent observation of any localization during
the time scale of the experiment.
Comparison of in
Vitro and in Cell Protein
Production
Previously, we reported an in vitro transcription and translation assay (IVTT) with compound 1 and cisplatin using Green Fluorescent Protein (GFP) as a fluorescent
reporter.[37] In this assay, either a plasmid
containing the GFP gene or the mRNA transcript for GFP were allowed
to react with varying concentrations of cisplatin or compound 1, with irradiation, before addition of the nucleic acids
to a cancer cell lysate containing transcription and translation machinery.
Both metal compounds inhibited GFP production with a clear dose response.
Interestingly, the IC50 value for inhibition of protein
production was ∼3 μM for both compounds. The ratio of
DNA nucleotides or RNA nucleotides to each metal center was calculated
at the IC50 for protein synthesis inhibition. The values
for compound 1 were 1140:1 and 820:1, while the values
for cisplatin were 600:1 for DNA and 610:1 for RNA, respectively.In the current uptake studies, E. coli cells were
dosed at 20 μM, which is approximately 10× higher than
the IC50 value for growth inhibition, but well-below the
IC50 value for inhibition of protein synthesis as determined
by Dendra2 production (see Table ). In order to compare the in vitro experiment to the cell data, extrapolation of the ratio for DNA
and RNA nucleotides per metal center at the IC50 value
for in vivo protein synthesis inhibition was performed
as detailed in the Supporting Information. The calculated values were remarkably close to the values from
the IVTT assay, with DNA nucleotides to metal center ratios of 520:1
for compound 1 and 700:1 for cisplatin. The RNA nucleotide
to metal center ratio was 1000:1 for compound 1 and 1090:1
for cisplatin.This analysis of the ratio of DNA or RNA bases
to metal centers
suggests the functional inhibition of protein synthesis by covalent
adducts to DNA and mRNA by compound 1 and cisplatin is
similar in E. coli and the in vitro assay. It is notable that in a living cell, where the reaction conditions
are much more complex than those of the buffered system of IVTT assay,
the IC50 values to inhibit protein synthesis were diminished
by over 60-fold relative to the IVTT assay. However, the ratio between
DNA or RNA bases and the metal center for inhibition of protein production
remain quite consistent. The increase in the IC50 values
in cells suggests two conclusions: (1) inhibition of protein synthesis
is not the factor that induces cell death and (2) both compounds suffer
from off-target binding to biological molecules. The later is known
to be a major issue for many currently administered drugs, especially
cisplatin.The role of off-target binding was also supported
by the AAS analysis
of metal content with the different nucleic acids in E. coli and mammalian cells, as only a minor component of the metal compounds
entered the cells, and of this, only 1.30 and 1.26% of cellular ruthenium
from compound 1 and 0.98 and 1.12% of the cellular platinum
from cisplatin were found with genomic DNA in the two systems. If
one includes the <2% of metal present in the RNA as on-target damage,
this means that over 96% of the cellular metal is reacting with potentially
nonrelevant targets. Extending this argument, if off-target binding
could be eliminated, cytotoxicity IC50 values would be
reduced to nanomolar concentrations if the same levels of cellular
uptake could be maintained. This may lead to another method to improve
the potency of currently used drugs: instead of focusing on the generation
of analogues that are more potent against nucleic acids, analogues
with reduced off-target binding could be more effective.It
has been shown that the vast majority of cisplatin and other
Pt species bind to plasma proteins and do not reach their target in vivo.[54−56] It was anticipated that the ruthenium compound would
fare better than cisplatin in avoiding off-target binding, due to
its lower affinity for hydrophobic proteins such as human serum albumin
(HSA)[37] and thiols such as glutathione
(GSH), but this has not been found to be the case in cells.[31,57] As the preferred binding partners are not the same for the platinum
and ruthenium complexes, it will be important to identify the primary
off-target biomolecules responsible for sequestering the ruthenium
in order to rationally design derivatives that avoid these species
to increase the potency of these inorganic compounds.
Ru and Pt Compounds
Induce Distinct Cellular Responses in Mammalian
Cells
The cellular effect of compound 1 was
also studied in mammalian cells, with a focus on proteins involved
in cell signaling and cell death. As shown in Figure , effects on cell cycle and apoptosis were
studied using flow cytometry, immunoblotting for apoptotic markers,
and DNA fragmentation. No cell-cycle-specific arrest point was observed
with compound 1 treatment, while a sub G1 population
of 20% of cells was observed after 24 h. Flow cytometry analysis of
apoptosis vs necrosis using FITC–Annexin V and propidium iodide
indicated that compound 1 induced cell death through
apoptosis as the dominant mechanism. While cisplatin induced necrosis
in a small fraction (5%), less than 2% of cells treated with compound 1 were characterized as necrotic. Immunoblotting of caspase
3 and PARP showed a time-dependent induction of apoptosis; in addition,
isolation of genomic DNA showed fragmentation, which is consistent
with apoptotic cell death. All apoptotic reporters were clearly observed
at 24 h.
Figure 4
Compound 1 induces apoptosis in HL60 cells without
cell cycle arrest. (A) Flow cytometry by PI/Annexin V in HL60 cells;
red = apoptotic cells, blue = necrotic cells, black = dead cells.
(B) Flow cytometry by PI in HL60 cells; black = G1; red = G2; white
= S phase. (C) Immunoblotting of cleaved PARP and cleaved caspase
3 in HL60 cells. GAPDH was blotted as loading control. (D) Agarose
gel electrophoresis of DNA laddering. HL60 cells were treated for
24 h for flow cytometry. All panels: compound 1, 20 μM;
cisplatin, 20 μM; doxorubicin, 1 μM.
Compound 1 induces apoptosis in HL60 cells without
cell cycle arrest. (A) Flow cytometry by PI/Annexin V in HL60 cells;
red = apoptotic cells, blue = necrotic cells, black = dead cells.
(B) Flow cytometry by PI in HL60 cells; black = G1; red = G2; white
= S phase. (C) Immunoblotting of cleaved PARP and cleaved caspase
3 in HL60 cells. GAPDH was blotted as loading control. (D) Agarose
gel electrophoresis of DNA laddering. HL60 cells were treated for
24 h for flow cytometry. All panels: compound 1, 20 μM;
cisplatin, 20 μM; doxorubicin, 1 μM.The tumor suppressor protein p53 regulates cell growth and
cell
cycle checkpoints to eliminate proliferation. It is one of the most
commonly mutated genes in cancer, resulting in loss of its regulatory
function.[58,59] Both p53/p21 and chk1 are involved in G1/S and G2/M cell cycle checkpoints in response
to DNA damage.[60,61] In order to probe the role of
p53 in response to compound 1, immunoblotting was performed
in A549 cells. This nonsmall-cell lung cancer cell contains functional
p53, in contrast with the p53 deficient HL60 cell line. While both
cisplatin and doxorubicin were able to induce apoptosis in the absence
of functional p53 in HL60 cells (Figure ), the A549 cell line demonstrated clear
induction of p53 for these two compounds. In contrast, compound 1 did not induce elevated expression of p53, and did not significantly
alter its phosphorylation or expression of p21 (Figure A).
Figure 5
Immunoblotting of apoptotic markers and cell
signaling proteins
in (A,B) A549 cells; C) HL60 cells. Cells were treated with 20 μM
of compound 1 for specified time periods; cisplatin (20
μM) and doxorubicin (2 μM) at 24 h of treatment were used
as controls. GAPDH was used as the loading control.
Immunoblotting of apoptotic markers and cell
signaling proteins
in (A,B) A549 cells; C) HL60 cells. Cells were treated with 20 μM
of compound 1 for specified time periods; cisplatin (20
μM) and doxorubicin (2 μM) at 24 h of treatment were used
as controls. GAPDH was used as the loading control.Another surprising difference observed between
the platinum and
ruthenium compounds is that p-chk1, which is involved in G2/M cell cycle arrest in response to DNA damage, was not induced by
treatment of compound 1 in either cell line, while both
cisplatin and doxorubicin induced phosphorylation of chk1. This finding
is consistent with the fact that no cell cycle arrest point was seen
with compound 1 in HL60 cells, in contrast to cisplatin
and doxorubicin. However, phosphorylation of γ-H2AX, an early
sensor of DNA damage, was observed after 6 h of treatment with 1, indicating DNA damage even in the absence of chk1 activation.Prosurvival and proapoptotic pathways, including MAPK pathways,
were examined, and consistent signaling behaviors after compound 1 treatment were observed in both cell lines. The ERK pathway
has been reported to facilitate cell survival and prevent apoptosis.[62,63] As shown in Figure , this pathway was inactivated by compound 1 in both
A549 and HL60 cell lines; in contrast, both cisplatin and doxorubicin
did not downregulate this prosurvival pathway. The JNK pathway has
been reported to act as a proapoptotic pathway in response to cellular
stress induced by DNA damage and is mainly activated by mismatch repair
signals.[62,64] Both cisplatin and doxorubicin were able
to induce phosphorylation of JNK in A549 and HL60 cells at 24 h, though
different phosphorylation levels in HL60 cells were observed, which
might indicate possible phosphorylation time course differences. Phospho-JNK
was seen as early as 6 h after doxorubicin treatment in HL60 cells,
while cisplatin induced phospho-JNK was seen to increase to its maximum
level at 24 h.[65,66] Surprisingly, compound 1 did not activate the JNK pathway to the same extent as cisplatin
or doxorubicin. The phosphorylation level was slightly increased within
6 to 12 h of treatment with compound 1 in both cell lines
but then decreased over time. This, along with the previously discussed
markers, indicate a different DNA damage response for compound 1 either from altered cell signaling pathways or by a different
class of DNA damage.Recent reports have raised questions as
to the source of the biological
effects of compound 1 and analogous Ru(II) systems, with
data suggesting that it is the liberated bipyridyl ligand, rather
than the Ru(II) metal center 2, that is responsible for
activity.[67,68] This study demonstrates such striking similarities
between the behavior of the light-activated Ru(II) complex and cisplatin,
both in E. coli and mammaliancancer cells, that
we find it improbable that the ligand, rather than the metal center,
is responsible for the phenotypic effects. The cytological profile,
nucleic acid metalation, and DNA damage response is consistent with
metal-mediated DNA damage. However, it is possible that the ligand
is inducing other effects that are not observed with these assays.
A more detailed investigation is underway.
Discussion
This
work demonstrates that a combination of phenotypic screening
based on E. coli imaging and protein production using
Dendra2 as a fluorescent reporter allows for rapid investigations
of mechanisms of action for cytotoxic agents that may have similar
activities in mammalian cells. We found that a combination of these
two experimental parameters facilitates discrimination of DNA damaging
agents from agents that work solely as transcription or translation
inhibitors. While filaments are formed by all classes of compound,
filament size and population distribution was radically different
depending on the mechanism of action. Furthermore, the observation
of irregular bacterial nucleoids, easily visualized using Hoechst
staining, was associated with DNA damage, while regular nucleoid size,
shape, and distribution was found with compounds that do not directly
affect DNA. Such experiments could not be performed in eukaryotic
cells, given the number of chromosomes.E. coli have been used in the past as model systems
to probe binding characteristics of drugs, such as cisplatin, with
proteins using NMR.[69,70] Phenotypic analysis in bacteria
by microscopy is now gaining more attention, primarily to identify
the cellular pathways impacted by antibiotics,[71,72] but a recent report identified anticancer activity for a molecule
characterized by cytological profiling in bacteria.[73] In that case, identification of the mechanism of action
of the molecule under investigation motivated later studies in cancer
cells, and the authors characterized bacterial cytological profiling
(BCP) as a tool for drug repurposing.We are taking the reverse
approach by using bacteria to elucidate
mechanistic features of compounds already identified as promising
anticancer agents. We believe that these studies in bacterial and
mammalian cells highlight the capacity of performing rapid studies
of anticancer agents in a simple biological model system. Phenotypic
studies and quantitative analysis reveal similarities in biological
activities between complex 1 and cisplatin. Some limitations
are apparent, though, as the cellular response to the compounds in
cancer cells suggests diverse pathway regulation following the DNA
damage. Altering the metal center thus offers a possibility to maintain
efficacy without experiencing the same resistance.While these
studies bring us closer to understanding the mechanism
of action of a particular cytotoxic ruthenium complex, it also raised
several provocative questions. These include the following: (1) why
is the cytotoxic potency of cisplatin and other inorganic putative
DNA damaging agents the same in E. coli and mammalian
cells when DNA damage recognition and repair pathways that are unique
to eukaryotic systems are implicated as playing a key role in their
mechanism of action? (2) While more of the metal complexes are taken
up in E. coli than the HL60 cells, the nt/mc ratio
remains quite consistent for both DNA and RNA. What biological entities
are responsible for the enhanced sequestration of the metals in the E. coli, and is it possible that similar molecules play
a role in cisplatin-resistant cancer cells? (3) Why does DNA packing
not play a greater role in determining the degree of metalation? DNA
is packaged in different ways and to different degrees of compaction
in the two cell types, and if the more highly exposed, transcriptionally
active sequences were the primary target, we would anticipate greater
potency for inhibition of Dendra2 production. We believe that addressing
these basic questions may be very important to the rational development
of improved DNA targeting agents, and we see E. coli as a excellent system to seek the answers.
Authors: Victoria Cepeda; Miguel A Fuertes; Josefina Castilla; Carlos Alonso; Celia Quevedo; Jose M Pérez Journal: Anticancer Agents Med Chem Date: 2007-01 Impact factor: 2.505
Authors: Orsolya Dömötör; Christian G Hartinger; Anna K Bytzek; Tamás Kiss; Bernhard K Keppler; Eva A Enyedy Journal: J Biol Inorg Chem Date: 2012-10-18 Impact factor: 3.358
Authors: Abdellah Mansouri; Lon D Ridgway; Anita L Korapati; Qingxiu Zhang; Ling Tian; Yibin Wang; Zahid H Siddik; Gordon B Mills; François X Claret Journal: J Biol Chem Date: 2003-03-12 Impact factor: 5.157
Authors: Samuel A Juliano; Leonardo F Serafim; Searle S Duay; Maria Heredia Chavez; Gaurav Sharma; Mary Rooney; Fatih Comert; Scott Pierce; Andrei Radulescu; Myriam L Cotten; Mihaela Mihailescu; Eric R May; Alexander I Greenwood; Rajeev Prabhakar; Alfredo M Angeles-Boza Journal: ACS Infect Dis Date: 2020-04-17 Impact factor: 5.084
Authors: Houston D Cole; John A Roque; Ge Shi; Liubov M Lifshits; Elamparuthi Ramasamy; Patrick C Barrett; Rachel O Hodges; Colin G Cameron; Sherri A McFarland Journal: J Am Chem Soc Date: 2021-12-09 Impact factor: 16.383
Authors: John A Roque Iii; Houston D Cole; Patrick C Barrett; Liubov M Lifshits; Rachel O Hodges; Susy Kim; Gagan Deep; Antonio Francés-Monerris; Marta E Alberto; Colin G Cameron; Sherri A McFarland Journal: J Am Chem Soc Date: 2022-04-28 Impact factor: 16.383
Authors: Fengrui Qu; Robert W Lamb; Colin G Cameron; Seungjo Park; Olaitan Oladipupo; Jessica L Gray; Yifei Xu; Houston D Cole; Marco Bonizzoni; Yonghyun Kim; Sherri A McFarland; Charles Edwin Webster; Elizabeth T Papish Journal: Inorg Chem Date: 2021-02-03 Impact factor: 5.165