Mingxu You1, Guizhi Zhu, Tao Chen, Michael J Donovan, Weihong Tan. 1. Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Collaborative Innovation Center for Molecular Engineering and Theranostics, Hunan University , Changsha, Hunan 410082, China.
Abstract
The specific inventory of molecules on diseased cell surfaces (e.g., cancer cells) provides clinicians an opportunity for accurate diagnosis and intervention. With the discovery of panels of cancer markers, carrying out analyses of multiple cell-surface markers is conceivable. As a trial to accomplish this, we have recently designed a DNA-based device that is capable of performing autonomous logic-based analysis of two or three cancer cell-surface markers. Combining the specific target-recognition properties of DNA aptamers with toehold-mediated strand displacement reactions, multicellular marker-based cancer analysis can be realized based on modular AND, OR, and NOT Boolean logic gates. Specifically, we report here a general approach for assembling these modular logic gates to execute programmable and higher-order profiling of multiple coexisting cell-surface markers, including several found on cancer cells, with the capacity to report a diagnostic signal and/or deliver targeted photodynamic therapy. The success of this strategy demonstrates the potential of DNA nanotechnology in facilitating targeted disease diagnosis and effective therapy.
The specific inventory of molecules on diseased cell surfaces (e.g., cancer cells) provides clinicians an opportunity for accurate diagnosis and intervention. With the discovery of panels of cancer markers, carrying out analyses of multiple cell-surface markers is conceivable. As a trial to accomplish this, we have recently designed a DNA-based device that is capable of performing autonomous logic-based analysis of two or three cancer cell-surface markers. Combining the specific target-recognition properties of DNA aptamers with toehold-mediated strand displacement reactions, multicellular marker-based cancer analysis can be realized based on modular AND, OR, and NOT Boolean logic gates. Specifically, we report here a general approach for assembling these modular logic gates to execute programmable and higher-order profiling of multiple coexisting cell-surface markers, including several found on cancer cells, with the capacity to report a diagnostic signal and/or deliver targeted photodynamic therapy. The success of this strategy demonstrates the potential of DNA nanotechnology in facilitating targeted disease diagnosis and effective therapy.
The cell membrane surface
consists of thousands of compounds, such
as lipids, proteins, and carbohydrates, which play significant roles
in cell growth, proliferation, and signaling.[1−4] Particularly, cell-surface receptors,
mostly membrane proteins, participate in communication between the
cell and the outside world. For example, extracellular signaling molecules,
such as cytokines or growth factors, recognize and bind to their receptors,
triggering changes in the cell’s functions. However, alterations
in the expression level and/or function of cell membrane receptors
can lead to systemic dysfunction (e.g., aberrant cellular metabolism
and proliferation),[5,6] as occurs in cancer cells. Accordingly,
more precise identification of the nature of single cells could be
achieved by profiling the high or low expression levels of multiple
membrane receptors, thus enabling more accurate disease diagnosis
and therapy. To accomplish this, we suggest using a molecular assembly
of multiple DNA aptamers to build a logic device able to autonomously
and precisely target cancer cells, which are otherwise indistinguishable
by most single receptor-targeting approaches.Several interesting
combinatorial approaches have been demonstrated
to recognize two cell receptors, including the utilization of a proximity-based
ligation probe,[7] bispecific antibodies,[8] chimeric costimulatory antigen receptors,[9] and a logic-gated DNA origami robot.[10] These AND-logic gate-based bireceptor-targeting
methods have shown some advanced cell discrimination properties, especially
in reducing off-target toxicities. However, a more reliable method
is required to study complex cellular configurations in large populations
of similar cells in biological systems. More recently, we[11] and Rudchenko et al.[12] have independently reported two DNA-based logic systems, which can
distinguish diseased cells by examining two or three different expressions
of cell surface markers. Compared to the cluster of differentiation
(CD) antibodies-based always-ON probe proposed by Rudchenko et al.,[12] we have designed a blueprint that uniquely takes
advantage of the nucleic acid nature of the aptamer molecules. The
spontaneous activating ability of the structure-switchable aptamers
potentially provides a real “autonomous” operation such
that the whole process of input-binding/logic-analysis/output-generation
can be realized within a single operation.[11] However, none of these previous demonstrations was capable of identifying
more complicated cell marker profiles than two-input or AND-gated
three-input conditions.In this report, we develop a general
platform to facilitate high-order
multiple cell-surface markers identification. This system can assess
truth values (0 and 1) based on operations typically taken to be conjunction
(AND), disjunction (OR), and negation (NOT), which are the most fundamental
logic gates in electronics. Based on DNA cascade reaction platform,
we have then implemented a series of aptamer-driven Boolean logical
operations into a programmable system. DNA, the chief building block
of our logic system, has been widely used to construct devices to
perform such intelligent tasks as sensing[13,14] and computation.[10,15−21] Because of its predictable Watson–Crick hybridization and
immense information-encoding capacity, DNA, as a computational tool,
can exercise the same capabilities in biomedical applications, considering
its ability to combine programmable logic function, nanometer size,
and interaction with the biological microenvironment.The aptamer
molecule is a DNA/RNA strand, which is able to selectively
recognize a wide range of targets, from small organic/inorganic molecules
to proteins.[22−25] Recently, a panel of aptamers has been selected for cell membrane
proteins using a process called cell-SELEX.[26] These aptamers demonstrated the ability to identify different expression
patterns of the membrane receptors in a variety of cell types.[22] They may even hold the ability to differentiate
the same population of cancer cells at various stages of the cell
cycle.[26] Our goal here, however, is to
use aptamers as an integral component for a molecularly assembled
logic device that is able to recognize the expression levels of multiple
cell membrane markers. Such a device could (1) deftly survey the biological
tapestry of the cancer cell surface, and (2) once having pinpointed
the offending cell type, use its feedback mechanism to selectively
deliver the appropriate therapeutic reagents. To the best of our knowledge,
the realization of such high-order and programmable multi- cellular
marker recognition (including 12 three-input conditions and 2 four-input
conditions) has never been reported before. The success of this platform
will potentially advance our ability in accurate disease diagnosis
and effective therapy.
Results
Operational Mechanism
The logic device is based on
Boolean operations as shown in Figure 1 and
consists of two types of components.[19] The
first is a short oligonucleotide tag connected to a specific aptamer
probe. Different aptamers may have the same or different tags, and
these tags act as barcodes that reflect the cell profiling results.
The second component serves as a barcode reader and actuator, with
either fluorophore- or therapeutic reagent-labeled ssDNA or dsDNA,
whose sequences are designed based on the barcode tags just described.
As a result, the actuator can screen the presence or absence of different
biological markers on the cell surface and take action after appropriately
discriminating the expression patterns of these markers. These two
components are not physically linked with each other; instead, they
are operationally connected. That is, while the aptamers functionally
bind to their cognate cell membrane targets, the tags and actuators
functionally execute the logic operations (conjunction, disjunction,
negation) based on such recognition.
Figure 1
Schemes of the cell-surface logic gates.
(A) General principle
displayed using two-input “AND” gate as an example.
Target cell expressing both membrane receptors (blue and red) can
be selected for labeling or apoptosis (red circled cell). Tagged aptamer
probes are first incubated with cells, after washing and discarding
the nonbinding probes, dye or drug-labeled reporter probe or duplex
is added, and the final cellular fluorescence signal or cellular viability
is detected with a FACScan cytometer or PI staining assay. (B) Symbols,
truth tables, and experimental schemes of toehold-based strand displacement
“AND” gate.
Schemes of the cell-surface logic gates.
(A) General principle
displayed using two-input “AND” gate as an example.
Target cell expressing both membrane receptors (blue and red) can
be selected for labeling or apoptosis (red circled cell). Tagged aptamer
probes are first incubated with cells, after washing and discarding
the nonbinding probes, dye or drug-labeled reporter probe or duplex
is added, and the final cellular fluorescence signal or cellular viability
is detected with a FACScan cytometer or PI staining assay. (B) Symbols,
truth tables, and experimental schemes of toehold-based strand displacement
“AND” gate.
Boolean Logic Function
In the simplest example, the
same tag (named as Y) was introduced to the 3′-end of three
well-characterized cancer-targeting aptamer sequences (see Table S1 for all DNA sequences): Sgc8c, against
tyrosine-protein kinase-like 7 (PTK7), expressed by cancer cell lines,
including humanacute lymphoblastic leukemia (CCRF-CEM);[26] TD05, against immunoglobulin heavy μ chain
(IgM), expressed by cancer cell lines, including human Burkitt’s
lymphoma (Ramos);[27] and Sgc4f, whose target
protein is not known at this time, targeting both CEM and Ramos cell
lines.[26] After aptamer binding to the cell
surface, further addition of a fluorescein dye (FAM)-labeled reporter
sequence, cY, which is complementary to the Y tag, signals the presence
of cells with at least one of the associated markers present. This
demonstrates the operation of the OR logic gate with signal ON if
any one of the three Y-tagged aptamers exists on the cell membrane
(Figure 2A).
Figure 2
Flow cytometric analysis and comparison
of the fluorescence signal
with/without the gate probes. (A) “OR” gate, (C) Sgc8c-X*/Sgc4f-Y*-based
“AND” gate, and (D) TE02-X*/TD05-Y*-based “AND”
gate. The fluorescence values and their error bars (mean ± SD)
were calculated based on the FITC signal using channel #3 in the flow
cytometer, from three experiments. The relatively high fluorescence
signal from the HeLa cells in (C) (Sgc8c+; Sgc4f−)
is attributed to the low, but nonzero, expression level of the Sgc4f
target (Figure S4). The microscopy images
were taken after adding the gate probes to each type of cell, and
the expected cell-surface fluorescence patterns were observed; the
optical images are shown in the SI. Cell
viability test for the (B) “AND” and “OR”
gates after visible irradiation for 3 h and subsequent growth for
48 h (*: p-value <0.05; **: p-value <0.001; by comparison with each irradiated cell type only, n = 3).
Flow cytometric analysis and comparison
of the fluorescence signal
with/without the gate probes. (A) “OR” gate, (C) Sgc8c-X*/Sgc4f-Y*-based
“AND” gate, and (D) TE02-X*/TD05-Y*-based “AND”
gate. The fluorescence values and their error bars (mean ± SD)
were calculated based on the FITC signal using channel #3 in the flow
cytometer, from three experiments. The relatively high fluorescence
signal from the HeLa cells in (C) (Sgc8c+; Sgc4f−)
is attributed to the low, but nonzero, expression level of the Sgc4f
target (Figure S4). The microscopy images
were taken after adding the gate probes to each type of cell, and
the expected cell-surface fluorescence patterns were observed; the
optical images are shown in the SI. Cell
viability test for the (B) “AND” and “OR”
gates after visible irradiation for 3 h and subsequent growth for
48 h (*: p-value <0.05; **: p-value <0.001; by comparison with each irradiated cell type only, n = 3).In practice, it would
be helpful to simultaneously identify the
presence of two or more markers on the same cell surface, the equivalent
of an AND logic gate [input (1, 1), output 1]. Benefiting from dynamic
DNA nanotechnology, the AND gate is designed on the basis of DNA strand
displacement reactions, in which two DNA strands hybridize to each
other, displacing one or more prehybridized strands through a branch
migration.[19,28] A cascade effect results when
many such reactions are linked logically. Under these circumstances,
a newly released output sequence of one reaction can initiate another
strand displacement elsewhere.[28,29]For our AND gate
configuration, a cX*/cY* reporting DNA duplex
is partially complementary with a leftover toehold region, and one
strand (cY*) is displaced via the toehold by an invading strand (X*),
which is the initiator strand for cX* (Figures 1B and S2). The displaced cY* then subsequently
hybridizes with invading strand Y* to form yet another new duplex,
Y*/cY*, and this represents the second required true input. In our
cell-surface AND logic gate, the two invading strands (X* and Y*)
are individually tagged onto two types of cancer cell-targeting aptamers
(e.g., Sgc8c and Sgc4f), respectively. The rate of strand exchange
can be quantitatively controlled[29] by varying
the length of the toehold in the reporting duplex (cX*/cY*). Similar
to the OR logic gate, the AND gate was tested by adding a fluorescence
label to the 3′-end of the reporting duplex (cX*/cY*-FAM).
The targeted labeling was achieved only when both barcode tags were
attached to the cell surface, i.e., when both inputs were true (Figure S3). More specifically, ON signaling (output
1) is possible only if both sets of aptamer-targeting antigens are
present on the cell surface (e.g., CCRF-CEM cells); conversely, OFF
signaling (output 0) is observed in the absence of either one of the
receptors (e.g., either Ramos cells or epitheloid cervix carcinoma
cells, HeLa) or both receptors (e.g., humanerythromyeloblastoid leukemia
cells, K562, Figure 2C). This DNA strand displacement
design can be generalized for different aptamer-based mapping systems.
For example, based on the same pair of oligonucleotide tags, we have
achieved another AND gate operation targeting Ramos cells, from the
binding of another set of tagged aptamers, TD05-Y* and TE02-X*[27] (Figure 2D).
Targeted Therapy
In addition to analyzing the expression
levels of cell-surface receptors, such as those targeted by Sgc8c
and Sgc4f, these DNA-based logic devices can trigger a response to
produce a targeted therapeutic effect by activating a biologically
effective molecule, instead of an output fluorescence signal. For
example, a porphyrin-based photosensitizer, chlorine e6 (Ce6), was
employed to induce the generation of reactive oxygen species (ROS)
upon light irradiation, termed photodynamic therapy (PDT).[30,31] Because of the limited therapeutic window, which equals the traveling
distance of ROS, specific localization of the photosensitizer at the
diseased site is required for efficient PDT. The triggering response
has been tested previously by incorporating Ce6 with the reporter
probes,[11] and cell viability was determined
by propidium iodide (PI) staining after incubation with the aptamer-based
logic gate complex and Ce6-receptor probe. As shown in Figure 2B, efficient specific photoinduced therapy was achieved
for target cancer cells expressing abnormal levels of surface markers.
Multilayer Logic Operations
Based on two-input AND,
OR, and NOT logic gates, a complex logic system can be sequentially
built, including, e.g., the identification of three input membrane
markers targeted by Sgc4f, Sgc8c and TE17 aptamers, respectively.
As mentioned above, the cascade effect can be realized when many DNA
strand displacements are linked such that the newly released output
sequence of one reaction can initiate another strand displacement
elsewhere.In a practical application of such higher-order logic
operation, after a group of specific oligonucleotide tag-connected
aptamers bound with cell membrane markers, three types of actuator
strands will be added to realize the identification and targeted therapy.
The first is a reporter strand, the fluorophore- or therapeutic reagent-labeled
oligonucleotide that provides the fluorescence readout for detection
or therapeutic functions after binding with the specific tags on the
cellular membrane. The second is one or more gate strands, which is
prehybridized with the reporter strand with a leftover toehold region.
Several gate strands can function in cascade when they are designed
to be partially complementary with each other (Figure 3A). The gate strands function by hybridizing with membrane
tags of the complementary sequence and through strand displacement
reactions, free the reporter strand for final signaling. The third
is an assistant strand, whose sequence is complementary to one of
the gate strands and can displace/free the reporter strand. However,
the presence of a cell membrane tag with the same sequence as the
gate strand will inhibit the activation process, since the assistant
strand will preferentially bind to fully complementary (36 bp) free
tag, instead of the short toehold region (8 bp) of the gate strand.[28] The assistant strand functions for the realization
of a NOT gate, i.e., the presence of a cell membrane input inhibits
the activation of the fluorescence signal or therapeutic effect. These
three types of strands are rationally designed in our platform to
function together as the barcode reader and actuator.
Figure 3
Construction of three-input
cell-surface logic gates. (A) Symbols,
truth tables, and experimental schemes of three-input “a AND
b NOT c” gate. (B) The realization of several three-input cell-surface
logic gates, using rationally designed tagged-Sgc4f/Sgc8c/TE17 aptamer
pairs and CEM cells as examples (the experimental schemes for each
gate are shown in the SI). Cell viability
test was performed after visible irradiation for 3 h and subsequent
growth for 48 h (*: p-value <0.05; **: p-value <0.001; by comparison with each irradiated cell
type only, n = 3). Bracketed letter-labeled strand
(e.g., [c] strand) is complementary to the strand labeled with the
same letter (e.g., c strand).
Construction of three-input
cell-surface logic gates. (A) Symbols,
truth tables, and experimental schemes of three-input “a AND
b NOT c” gate. (B) The realization of several three-input cell-surface
logic gates, using rationally designed tagged-Sgc4f/Sgc8c/TE17 aptamer
pairs and CEM cells as examples (the experimental schemes for each
gate are shown in the SI). Cell viability
test was performed after visible irradiation for 3 h and subsequent
growth for 48 h (*: p-value <0.05; **: p-value <0.001; by comparison with each irradiated cell
type only, n = 3). Bracketed letter-labeled strand
(e.g., [c] strand) is complementary to the strand labeled with the
same letter (e.g., c strand).To illustrate this whole process, the operation of an AND/AND-NOT
gate system was assembled from a reporter strand (c), an assistant
strand ([a]) and three gate strands (a*, b, and d) (Figure 3A). As shown in Figure 3,
Sgc4f, Sgc8c, and TE17 aptamers, which were individually tagged by
strands [c], a*, or [d], were used to introduce specific barcode tags
onto the CEM cell membrane and to realize the “Sgc4f AND Sgc8c
AND-NOT TE17” and the “Sgc4f AND TE17 AND-NOT Sgc8c”
gates. To understand how the barcode reader strands work in practice,
once the first input on the cell membrane removes the first gate strand
(d) and exposes the second toehold, the assistant strand ([a]) will
automatically displace the second gate strand (a*), an event which
facilitates binding of the second input strand ([c]) with the reporter
strand (c) and transmits signals.The assistant probes, e.g.,
[a] strand in this example, will preferentially
bind to fully complementary free a* tag in the cell-surface aptamer
strand, instead of the reporting DNA nanostructure (a*/b/c-biotin),
which involves a competition effect from b and c strands. As a result,
a NOT gate is realized, since the presence of a cell membrane input
(targeted by a*-tagged aptamer) inhibits the binding of [a] strand
with the toehold region of the a* gate strand. The concentration of
the assistant probe is dependent on the amount of the safeguard receptors
on the cell membrane (more on normal cells, but much less on cancer
cells, which are targeted by a NOT gate aptamer) (Figure 3A). The optimization of these assistant probe concentrations
can be used to fine-tune the logic-based therapeutic effect and, subsequently,
even to realize different logic operations. For example, the ability
to distinguish between the “Sgc4f AND-NOT (TE17 AND Sgc8c)”
and “Sgc4f AND-NOT (TE17 OR Sgc8c)” gates can be realized
by altering the concentration of assistant probe [a] (Figures 3 and S8).NOR [output
is 1 only if both inputs are false (0, 0)] and NAND
[output is 0 only if both inputs are true (1, 1)] gates are unique,
since they are functionally complete, i.e., any computational logic
system could be built by scaling up either one of these two gates.
The realization of AND and NOT gates provides the basis for building
up these two types of important logic gates, as demonstrated in schemes
(e) and (f) in Figure S7. More specifically,
the logic platform demonstrated here can realize all the possible
256 kinds of logic gates for three-input cell surface logic systems;
more practically, since at least one aptamer is required to bind on
the cell membrane to transmit the signal, 128 kinds can be achieved.
As a result, the cell surface condition of “receptor a/ receptor b/ receptor c” will always
be reported as 0.To demonstrate the modularity and scalability
of DNA-based approaches
that are similarly based on the rational tagging of specific barcode
tags to the cell-targeting aptamers, we proved the successful operation
of another 10 three-input logic gates (Figure 3) and 2 four-input systems, “Sgc8c AND Sgc4f AND TE17 AND
TC01” and “Sgc8c AND Sgc4f AND TC01 AND-NOT TE17”
(Figure 4). The detailed experimental schemes
for individual gates are displayed in Figure S7, in which both a targeted therapeutic effect and a cell surface
fluorescence signal from flow cytometry proved the proper function
of the logic device.
Figure 4
Construction of programmable and scalable cell-surface
logic machines.
The realization of (A) four-input “a AND b AND c AND d”
gate, and (B) four-input “a AND b AND d NOT c” gate.
The fluorescence intensity results in the truth table were based on
averaged flow cytometry distributions, from three experiments. Bracketed
letter-labeled strand (e.g., [d] strand) is complementary to the strand
labeled with the same letter (e.g., d strand).
Construction of programmable and scalable cell-surface
logic machines.
The realization of (A) four-input “a AND b AND c AND d”
gate, and (B) four-input “a AND b AND d NOT c” gate.
The fluorescence intensity results in the truth table were based on
averaged flow cytometry distributions, from three experiments. Bracketed
letter-labeled strand (e.g., [d] strand) is complementary to the strand
labeled with the same letter (e.g., d strand).
Discussion
Even though most tested high-order logic
operations function as
expected, as the layer of the gates scale up, we have observed that
the diagnostic signals, as well as the therapeutic effects, subsequently
decrease. For example, some positive signals are difficult to be distinguished
from the negative ones in both “Sgc4f AND-NOT (TE17 AND Sgc8c)”
and “Sgc4f AND TE17 AND-NOT Sgc8c” gates. This effect
can be due to the incomplete strand displacement during each step
and the relatively slow kinetics of some of these reactions.[28] To solve this problem, our follow-up project
involves the incorporation of signal amplification methods, such as
the hybridization chain reaction[32,33] or rolling
circle amplification,[7] into this logic
platform. Moreover, the therapeutic efficiency of the current high-order
logic platform is still limited (20–30% decrease in cell viability),
which is partially due to the relatively low efficiency of the Ce6-based
photodynamic therapy system.[30,31] Due to the facile synthesis
and modification of DNA probes, in this logic platform, the Ce6 moiety
can be easily replaced with other drugs, reporting systems, or nanoparticles.For future clinical applications, some artificial nucleotides should
be introduced to further enhance the biostability of the nucleic acid–based
logic platform in complex biological systems, such as serum. Using
the “A AND B” gate as an example, one potential limit
of the current system stems from the condition of neighboring cells
expressing marker A or B, respectively, which might report a joint
“positive” signal to confound the results. To avoid
such false-positives, we have recently reported the possible construction
of a physically conjugated DNA assembly that is based on toehold-mediated
strand displacement reactions, termed the “Nano-Claw”.[11] Two examples, including a conjugated two-input
AND gate and a three-input AND-AND gate, were realized. The new and
highly programmable logic platform demonstrated in the current study
can be easily integrated with the Nano-Claw device, to realize more
powerful cellular identification and therapeutic applications. However,
the goal of the current study has been already fulfilled with the
demonstration that a high-order DNA-based logic platform is capable
of programmable targeting cancer cells with much more complicated
marker profiles.In conclusion, based on a series of aptamer-encoded
AND, OR, and
NOT logic gates, we have designed and realized a programmable and
general platform that screen for various abnormal conditions on the
cell surface. The Boolean operations that support these logic operations
can be further programmed to build more complex and highly functional
logic systems. Specifically, by coupling multiple molecular signature
inputs into a fluorescence signal or therapeutic modality, e.g., PDT,
a diagnostic assessment and/or therapeutic action can be taken. This
integrated multiligand profiling approach will be a major advancement
over single-ligand systems and will prevent extraneous target effects
on normal cells. The predictable and programmable nature of the nucleic
acid probes can be employed to construct smarter devices for applications
in basic research, biomedical engineering, and personalized medicine.
Materials and Methods
Chemicals, Cell Lines,
and Reagents
The materials for
DNA synthesis were purchased from Glen Research (Sterling, VA), including
6-(3′,6′-dipivaloylfluoresceinyl-6-carboxamido)-hexyl-phosphoramidite
(6-FAM) and 5′-amino phosphoramidite. Photodynamic ligand chlorine
e6 (Ce6) was purchased from Frontier Scientific, Logan, UT. Other
chemicals were purchased from Sigma-Aldrich. HeLa cells were cultured
in DMEM medium (Sigma), and CCRF-CEM (CCL-119, T-cell line, human
ALL), Ramos (CRL-1596, B-cell line, human Burkitt’s lymphoma),
and K562 (CCL-240, acute promyelocytic leukemia, CML) were cultured
in RPMI 1640 medium (American Type Culture Collection) with 10% fetal
bovine serum (Invitrogen, Carlsbad, CA) and 0.5 mg/mL penicillin-streptomycin
(American Type Culture Collection) at 37 °C under a 5% CO2 atmosphere. Cells were washed before and after incubation
with washing buffer [4.5 g/L glucose and 5 mM MgCl2 in
Dulbecco’s PBS with calcium chloride and magnesium chloride
(Sigma-Aldrich)]. Binding buffer was prepared by adding yeast tRNA
(0.1 mg/mL; Sigma-Aldrich) and BSA (1 mg/mL; Fisher Scientific) to
the washing buffer to reduce background binding. All reagents for
buffer preparation and HPLC purification came from Fisher Scientific.
Unless otherwise stated, all chemicals were used without further purification.
DNA Synthesis
All oligonucleotides were synthesized
using an ABI 3400 DNA synthesizer (Applied Biosystems, Inc., Foster
City, CA) at the 1.0 μmol scale. After complete cleavage and
deprotection, the DNA sequences were purified on a ProStar HPLC system
(Varian, Palo Alto, CA) with a C-18 reversed-phase column (Alltech,
5 μm, 250 × 4.6 mm). The eluent was 100 mM triethylamine-acetic
acid buffer (TEAA, pH 7.5) and acetonitrile (0–30 min, 10–100%).
All DNA concentrations were characterized with a Cary Bio-300UV spectrometer
(Varian) using the absorbance of DNA at 260 nm.
Synthesis of
Photosensitizer-Modified Oligonucleotides
The 5′-amino-modified
oligonucleotide was synthesized, and
the MMT protection group removed using an ABI 3400 DNA synthesizer
in order to conjugate the carboxyl group with the Ce6 molecule. To
improve the coupling efficiency and reduce the number of multiple
coupling products, the amount of Ce6 was 10 times that of the oligonucleotides
in the coupling reaction. In a typical reaction, 10 μmol Ce6
was mixed with an equivalent amount of coupling agents, N,N′-dicyclohexylcarbodiimide (DCC) and N-hydroxysuccinimide (NHS), in 500 μL N,N-dimethylformamide (DMF) for the activation reaction.
The product was then washed with acetonitrile until clear, dried using
a vacuum dryer, and further purified by reversed-phase HPLC.
Manipulation
of the Logic Gates
The pre-annealed DNA
duplex was prepared by a cooling process from 95 to 4 °C over
30 min in a 12 mM PBS buffer (pH = 7.4 with 137 mM NaCl and 2.7 mM
KCl); other DNA probes were cooled on ice for 10 min before usage.
Tagged aptamer probes were incubated at a concentration of 200 nM
with 106 cells per mL in 200 μL binding buffer and
shaken on ice for 30 min. After washing and discarding the nonbinding
probes, 200 nM FAM-labeled reporter probe or duplex was added for
1 h of strand binding and incubation on ice. After further washing
to remove nonbinding probes, the final detection of cellular fluorescence
signal was performed with a FACScan cytometer (Becton Dickinson Immunocytometry
Systems, San Jose, CA) by counting 20 000 events, using channel
#3 for the FAM dye and channel #5 for the PE-Cy5.5 dye.
Photodynamic
Therapy and Cell Viability Test
The cell
viability of different cell lines was determined using the PI staining
assay (Molecular Probes Inc., Eugene, OR). At first, the cells (100 000
cells/well) were incubated with the logic machines, following the
above-mentioned method. For photodynamic therapy, the cells were separately
placed in a 48-well plate on ice for 3 h irradiation with white light
(15 W, 60 Hz table lamp). After irradiation, the cells were incubated
in culture medium at 37 °C under 5% CO2 atmosphere
for further cell growth (48 h). To measure the cell viability, 1.5
μL PI (10-fold dilution from 1.0 mg/mL water solution) was added
to each well and incubated for 15 min at room temperature before analyzing
cells on the flow cytometer. Using channel #4 for the PI dye, 10 000
events were counted for each well.
Formation and Purification
of DNA Nanostructures for the Three-
and Four-Input Cell-Surface Logic Operations
The pre-annealed
DNA nanostructure was prepared by a slower cooling process from 95
°C to room temperature overnight in a 12 mM PBS buffer (pH =
7.4 with 137 mM NaCl and 2.7 mM KCl). Each nanostructure for different
gates was separately purified from a gel electrophoresis experiment.
The gel was run in 10% acrylamide (containing 19/1 acrylamide/bis(acrylamide))
mixture with 1 × TBE/15 mM Mg2+ buffer, at 100 V constant
voltage for 1.5 h (4 °C). This gel purification process allowed
the removal of partially assembled structures and decreased the number
of false-positive signals. After purification, the concentrations
of DNA nanostructures were characterized with a Cary Bio-300UV spectrometer
(Varian) using the absorbance of DNA at 260 nm. The extinction coefficients
for the formed nanostructures were calculated from the equation:[34] εds = εss(str1)
+ εss(str2) – 3200 × NAT – 2000 × NGC, where εss(str1) and εss(str2)
are the extinction coefficients of each component single strand in
the duplex, and NAT and NGC are the number of A-T and G-C pairs in the duplex form,
respectively.
Manipulation of the Three- and Four-Input
Cell-Surface Logic
Operations
The pre-annealed DNA nanostructure was prepared
as mentioned above; other DNA probes were cooled on ice for 10 min
before usage. Tagged aptamer probes were incubated at a concentration
of 200 nM with 106 cells per mL in binding buffer on ice
and shaken for 30 min. After washing and discarding the nonbinding
probes, 200 nM Biotin-labeled DNA nanostructure for each gate was
added for 4 h of strand binding and incubation on ice. Then, 50 nM
assistant probe (a or d strand) was added for each NOT gate; 100 nM
assistant probe (a strand) was added for the “a AND NOT (b
AND c)” gate. After further washing to remove nonbinding probes,
steptavidin-tagged PE-Cy5.5 dye was added (free PE-Cy5.5 dye was removed
after 15 min incubation), and the final detection of cellular fluorescence
signal was performed with a FACScan cytometer (Becton Dickinson Immunocytometry
Systems, San Jose, CA) by counting 20 000 events, using channel
#5.
Authors: Chetana M Revankar; Daniel F Cimino; Larry A Sklar; Jeffrey B Arterburn; Eric R Prossnitz Journal: Science Date: 2005-02-10 Impact factor: 47.728
Authors: Dihua Shangguan; Ying Li; Zhiwen Tang; Zehui Charles Cao; Hui William Chen; Prabodhika Mallikaratchy; Kwame Sefah; Chaoyong James Yang; Weihong Tan Journal: Proc Natl Acad Sci U S A Date: 2006-07-27 Impact factor: 11.205
Authors: Aurora Fabry-Wood; Madalyn E Fetrow; Carl W Brown; Nicholas A Baker; Nadiezda Fernandez Oropeza; Andrew P Shreve; Gabriel A Montaño; Darko Stefanovic; Matthew R Lakin; Steven W Graves Journal: ACS Appl Mater Interfaces Date: 2017-08-24 Impact factor: 9.229