lectin-aided separation of circulating tumor cells and assay of their response to an anticancer drug...
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Research Article
Lectin-aided separation of circulating tumorcells and assay of their response to ananticancer drug in an integratedmicrofluidic device
Metastasis caused by the entry of circulating tumor cells (CTCs) into the bloodstream or
lymphatic vessels is a major factor contributing to death in cancer patients. Separation of
CTCs and studies on CTC–drug interactions are very important for prognostic and
therapeutic implications of metastatic cancer. In this study, an integrated microfluidic
device for CTC separation through the combination of lectin and microstructure is
presented. This microfluidic device and lectin concanavalin A were utilized for the
separation of K562 cells in whole blood samples. The results showed that the separation
efficiency can reach 84%, which is much higher than that of an experiment without
concanavalin A treatment. To further demonstrate the feasibility of this microfluidic
device application in sequential studies after target cells were separated, the interactions
of K562 cells and an anticancer drug, cytarabine, were also examined. After 6 h on-chip
treatment with cytarabine, the viabilities of K562 cells were 85.29, 77.05, and 40% for
drug concentration levels of 0.25, 0.5, and 1.0 g/L, respectively. This system can facilitate
the rapid and efficient in vitro investigation of CTC separation and CTC-related studies.
Keywords:
Circulating tumor cell / Lectin / Microfluidic device / Microstructure / SeparationDOI 10.1002/elps.201000139
1 Introduction
Metastasis is the underlying cause of death in cancer
patients [1]. It results from circulating tumor cells (CTCs)
that escape from the primary tumor into the bloodstream or
lymphatic vessels. CTCs may constitute the seeds for the
subsequent growth of additional tumors (metastasis) in
different tissues. Detection and assay of CTCs have
important prognostic and therapeutic implications for
understanding the process of metastasis, disease staging,
prognosis prediction, patient monitoring during therapy,
and improvement in therapy design [2, 3]. However, CTCs
exist in the peripheral blood of cancer patients, who have
very low blood concentration [2], so their separation and
identification are very difficult and time consuming.
The conventional techniques utilized for the large-scale
preparation of CTCs include centrifugation and membrane
filtration. However, although they have been used for many
decades, these two techniques are complicated and have low
efficiency and specificity in sorting rare target cells. More
sophisticated methods such as immunocytochemistry [4],
PCR [5], flow cytometry, immunofluorescence or fluores-
cence-activated cell sorting, and magnetically activated
separation have been established as the standard methods
for high-quality cell separation [6–11]. However, each of
these methods still has its disadvantages. For instance,
immunocytochemistry and immunofluorescence (their
detection rates range from 1 to 62%) are limited mainly by
their inability to retrieve live cells for downstream analysis.
PCR can detect the mutation in the DNA of a cancer cell
from as little as one cell in 1� 106–1� 107 normal cells, but
it cannot differentiate whether the DNA is from living CTCs
or from dead tumor cells. Fluorescence-activated cell sorting
is limited by the specificity required for antibodies, the long
separation time, and the need for skilled technicians and
expensive equipment. Magnetic cell sorting is also limited
by the specificity required for antibodies [12, 13]. Therefore,
Li Li1
Wenming Liu1
Jianchun Wang1
Qin Tu1
Rui Liu1
Jinyi Wang1,2
1College of Animal Medicine andCollege of Science, NorthwestA&F University, Yangling,Shaanxi, P. R. China
2Shaanxi Key Laboratory ofMolecular Biology forAgriculture, Northwest A&FUniversity, Yangling, Shaanxi,P. R. China
Received March 9, 2010Revised June 21, 2010Accepted June 24, 2010
Abbreviations: Con A, concanavalin A; CTCs, circulatingtumor cells; FBS, fetal bovine serum; PI, propidium iodide;
RBCs, red blood cells; WBCs, white blood cells
Correspondence: Professor Jinyi Wang, College of AnimalMedicine, College of Science, and Shaanxi Key Laboratory ofMolecular Biology for Agriculture, Northwest A&F University,Yangling, Shaanxi 712100, P. R. ChinaE-mail: [email protected]: 186-29-8708-2520
& 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.electrophoresis-journal.com
Electrophoresis 2010, 31, 3159–3166 3159
there is an urgent need for the development of novel and
convenient methods for isolating CTCs.
During the 1990s, when microelectromechanical
systems technology became widely available to researchers,
and PDMS microchannels were introduced [14], micro-
fluidics became an increasingly useful tool for cell biologists
due to its capability to control, monitor, and manipulate
cellular microenvironments precisely [15]. To date, the
applications of microfluidics in cell biology have rapidly
expanded. For example, several biological studies use
microfluidics fabricated with PDMS as a platform for
miniature immunoassays, separation of proteins and DNA,
sorting and manipulation of cells, and microscale bio-
reactors [16–23]. Additionally, the introduction of integrated
microfluidics facilitates more complex biological manipula-
tions in one single device [22]. All these advancements have
allowed the miniaturization of filtration devices and the
realization of precise channel geometries, leading to the
more sophisticated separation of cells in microfluidics, such
as the isolation of red blood cells (RBCs) and leukocytes
[24–26], embryos [27], and cancer cells [28, 29].
Generally, the straightforward methods utilized for cell
separation in microfluidics are based on size-scale discri-
mination using filtration sieves. In the past few years,
several groups have developed microfiltration chips with
different-sized microsieves integrated in microfluidic chan-
nels to fractionate cell mixture [30, 31] and trapped RBCs,
white blood cells (WBCs), and spiked neuroblastoma [29].
Previous studies have proved that the sizes of RBCs and
WBCs are smaller than those of tumor cells [32, 33].
Moreover, tumor cells not only have a larger volume and
cellular karyon but also low deformability [28]. Therefore,
the separation of tumor cells from a cell mixture is realiz-
able. For example, Chen et al. have successfully sorted
tumor cells (SPC-A-1) from a cell mixture using a pool-dam
structure filter [28]. Hisham Mohameda et al. have separated
eight cancer lines one by one in one microdevice using a
multicolumn microstructure [29]. However, all devices used
in these studies had a simple function (only for cell sorting).
Additionally, they are mainly dependent on the physical
structure size (smaller cells need a smaller gap space
between two adjacent microstructures). These issues
complicate the fabrication of microfluidics, especially for the
separation of rare and small cells, as well as sequential
studies on cell identification, culture, and response to
drugs. Therefore, new methods for special cell sorting and
the development of a multifunctional microdevice are
indispensable.
Tumor cells have been reported to alter carbohydrate
expression pattern frequently compared with healthy cells,
and can be agglomerated by lectin to form a large mass [33].
Therefore, based on our study on the preparation of anti-
bodies and integrated microfluidics [34, 35], a new method
for CTC isolation is presented by combining lectin with
integrated microfluidics. Also, the sequential on-chip iden-
tification, culture, and interaction of CTCs with an antic-
ancer drug were investigated.
2 Materials and methods
2.1 Materials
RTV 615 PDMS pre-polymer and a curing agent were
purchased from GE Silicones (Minato-ku, Tokyo); surface-
oxidized silicon wafers from Shanghai Xiangjing Electronic
Technology (Shanghai, China); AZ 50XT photoresist and
developer from AZ Electronic Materials (Somerville, NJ,
USA); SU-8 2025 photoresist and developer from Micro-
chem (Newton, MA, USA); Goat antimouse IgG-FITC
from Boster (Beijing, China); Cytarabine, Concanavalin A
(Con A), and propidium iodide (PI) from Sigma-Aldrich
(MO, USA); and cell culture medium and fetal bovine
serum (FBS) from Gibco Invitrogen (CA, USA). Mouse
ascites polyclonal anti-K562 cell surface membrane antigen
antibody was prepared and identified following the method
reported previously [34]. All solvents and other chemicals
were purchased from local commercial suppliers and were
of analytical reagent grade, unless otherwise stated. All
solutions were prepared using ultra-purified water supplied
by a Milli-Q system (Millipores).
2.2 Fabrication of PDMS microfluidic devices
The microfluidic device utilized for this study was fabricated
using the multilayer soft lithography method [35–38]. Two
different molds were first produced by photolithographic
processes to create the fluidic components (channel width:
200 mm; channel height: 35 mm; chamber diameter: 300 mm;
height: 35 mm; length: 1900 mm) and the control channels
(channel width: 25–100 mm; channel height: 25 mm)
embedded in the respective layers of the PDMS matrix. To
prepare the mold utilized for the fabrication of the fluidic
components, a 35 mm-thick positive photoresist (AZ 50XT)
was spin-coated onto a silicon wafer. After UV exposure and
development, the wafer was heated above the glass
transition temperature of the positive photoresist. As a
result, the surface profile of the patterned positive photo-
resist was transformed into a round profile. The mode for
control channels was made by introducing a 25 mm-thin
negative photoresist (SU8-2025) pattern on a silicon wafer.
To achieve the reliable performance of each valve, the widths
of the control channels were set to 150–200 mm in sections
where the valve modules are located.
Before fabricating the microfluidic device, both the
fluidic and control molds were exposed to trimethyl-
chlorosilane vapor for 2–3 min. A well-mixed PDMS pre-
polymer (RTV 615 A and B in 5:1 ratio) was poured onto the
fluidic mold placed in a Petri dish to yield a 3 mm-thick
fluidic layer. Another portion of PDMS pre-polymer (RTV
615 A and B in 20:1 ratio) was spin-coated onto the control
mold (1600 rpm, 60 s, ramp 15 s) to obtain the thin control
layer. The thick fluidic layer and the thin control layer were
cured in an 801C oven for 50 min. After incubation, the
thick fluidic layer was peeled off the mold, and holes were
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introduced into the fluidic layer for cell and nutrient supply
access, chamber purging, and waste exclusion. The fluidic
layer was then trimmed, cleaned, and aligned onto the thin
control layer. After baking at 801C for 60 min, the assembled
layers were peeled off the control mold, and another set of
holes was punched for the access of control channels. These
assembled layers were then placed on top of a glass slide
coated (3000 rpm, 60 s, ramp 15 s) with PDMS pre-polymer
(GE RTV 615 A and B in 10:1 ratio) that had been cured for
15 min in an oven set at 801C. The microfluidic device was
ready for use after baking at 801C for 48 h.
2.3 Control interface
The control setup consisted of eight sets of eight-channel
manifolds (Ningbo Lida Pneumatic, Ningbo, China)
controlled through a NI-PCI-6513 controller board (National
Instruments, Austin, TX, USA) connected to a computer
through a USB port. Nitrogen gas provided pressure (30 psi)
to the manifolds. Twenty-one control channels in the
microfluidic device were first filled with water and
individually connected to the corresponding channels on
the manifolds with metal pins (23 Gauge, Jinke Wei, China)
using polyethylene microbore tubing. When a regulator on
the manifold was activated, nitrogen gas entered the
respective control line connected with the regulator,
providing pressure to the closed valves in the microfluidic
device. The control interface was created using LabVIEW
program (Version 8.0, National Instrument) on a personal
computer, allowing for the manual control of individual
valves and for the automation of our microfluidic system.
2.4 Blood collection
Fresh blood (10 mL) was collected from healthy mice. After
the addition of anticoagulant, 100 mL 150 unit/mL Heparin,
and gentle shaking in a shaking incubator for 1 min, whole
blood was maintained at room temperature prior to use. An
isotonic saline solution of PBS (pH 7.4) was used for the
dilution of whole blood when required.
2.5 Cell culture
K562 cells were obtained from the Chinese Academy of
Sciences (Shanghai, China; a type of immortalized myeloge-
nous leukemia line. The cells are nonadherent and rounded,
and grow in suspension). They were routinely cultured using
DMEM (Invitrogen, Grand Island, NY) supplemented
with 10% FBS (Invitrogen), 100 units/mL penicillin, and
100 mg/mL streptomycin in a humidified atmosphere of 5%
CO2 at 371C. To maintain their exponential growth phase, the
cells were normally passaged at a ratio of 1:2 every two days
through dilution. Before use, they were harvested after
centrifuging at a rotational speed of 800 rpm for 3 min. The
cells were then resuspended in healthy whole blood. The
densities of RBCs and K562 cells in the blood mixture were
2� 106 and 2� 105 cells/mL, respectively, determined
through the hemocytometer method.
2.6 Lectin concentration optimization
A series of Con A solutions with various concentrations
(10.00, 1.00, 1.0� 10�1, 1.0� 10�2, 5.0� 10�3, 2.5� 10�3,
1.25� 10�3, and 6.25� 10�4 g/L) was, respectively, added to
eight parallel 100 mL fresh blood samples (cell density of
RBCs was 2� 106 cells/mL) and eight parallel 100 mL K562
cell suspensions (2.0� 105 cells/mL). After gently shaking
for 3 min at 371C, these were continuously incubated at
371C for 30 min. The agglomerated state of cells was
monitored every 10 min.
2.7 On-chip CTC sorting and viability assay
Before whole blood with K562 cell conglomeration was
loaded into the microfluidic device for K562 cell isolation,
the PDMS device was sterilized with UV light for 1 h. After
rinsing with PBS and drying with N2, fresh blood mixtures
were loaded into the microdevice through a microtubing
connected to the inlet of the device under the coordination
of microvalve groups. The blood flow velocity was adjusted
using an automated pump. The separation efficiency was
the ratio of sorted cells and tumor cells. Sorted cells were
quantified by counting the number of trapped cells using
Software Image-Pro Plus 6.0 (Media Cybernetics, Silver
Spring, MD, USA). Tumor cells were quantified by cell
concentration, flow velocity, and loading time.
Assay of trapped K562 cell viability was performed using
PI staining assay [39, 40]. Briefly, after rising with PBS thrice,
1.0 mmol/L PI was introduced into the cell trapping cham-
bers. After incubation for 10 min, cell viability was quantified
by counting the live (unstained) and the dead (red) cells.
2.8 Identification of the trapped CTC cells
To identify the trapped cells, after washing with PBS thrice,
they were first fixed with 4% paraformaldehyde and
sequentially permeabilized with 0.2% glutaraldehyde at
room temperature for 15 min, respectively. Then the
trapped K562 cells were incubated with Mouse anti-K562
cell ascites polyclonal antibody and secondary goat anti-
mouse IgG-FITC antibody in PBS for 2 h one after another,
followed by washing with PBS thrice.
2.9 Assay of CTC responses to an anticancer drug
After the K562 cells were separated and trapped in the
device, they were washed with normal culture medium
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thrice. Then culture medium DMEM supplemented with
10% FBS and 1% penicillin/streptomycin was introduced
into the cell culture chambers and cultured in an incubator
at 371C with 5% CO2 for 24 h. The on-chip growth status of
the cells was monitored every 6 h, and viability was analyzed
using fluorescence dye PI assay following the procedures
described above.
For the assay of K562 cell responses to anticancer drugs,
three devices with the trapped K562 cells were first cultured
for 24 h following the same method above. Then the normal
culture medium was, respectively, replaced with 0.25, 0.5,
and 1.0 g/L cytarabine dissolved in normal culture medium.
Later, the devices were placed in a plastic Petri dish, and the
entire experiment setup was kept in an incubator at 371C
with 5% CO2 for 6 h. K562 cell response to cytarabine was
evaluated through assay of the changes in cell viability after
cytarabine treatment.
2.10 Microscopic imaging and data analysis
An inverted microscope (Olympus, CKX41) with a CCD
camera (QIMAGING, Micropublisher 5.0 RTV) and a
mercury lamp (Olympus, U-RFLT50) were used to acquire
phase contrast and fluorescent images. Software Image-
Pros Plus 6.0 (Media Cybernetics) and SPSS 12.0 (SPSS)
were employed to perform image analysis and data
statistical analysis, respectively.
3 Results and discussion
3.1 Microfluidic fabrication and control interface
The integrated microfluidic device utilized for this study was
fabricated using the multilayer soft lithography method
[35–38]. Figure 1 shows the composition and functions of
each part of this microdevice. Generally, the device consists
of two functional regions (Fig. 1A): (i) the sample mixing
region with two dentation structures for sample mixing [41]
and (ii) the cell trapping region composed of six short
columns for CTC trapping, culture, and cell–drug interac-
tions. Figure 1B shows the optical image of the actual device
in which the channels were loaded with various food-dye
solutions to help visualize the different components of the
microfluidic chip. Red and green lines, respectively, indicate
the control and fluidic channels. The red squares located in
the middle and terminal of the control channels represent
the valves that can regulate intentionally the opening and
closing of channels in the fluidic layer to allow delivery and
localization of samples, and exchange of culture medium.
Each channel in the control layer is independently
controlled by an external solenoid valve that can be
modulated manually or automatically through the control
interface (Supporting Information, Fig. S1). The consecu-
tively arranged dentation on the side of the fluidic channels
in the mixing region, as the SEM image shows in Fig. 1C
(top and engaged part of Fig. 1A), can accomplish reagent
mixing in the fluidic channels based on the design
developed by Sheen et al. [41]. The long assuasive channels
connecting the dentation structures are utilized for sample
incubation before being loaded into the cell trapping region.
Inside these trapping compartments, many microdam
structures are arranged alternately (Fig. 1C, bottom and
engaged part of Fig. 1A) for cell sorting. The width of the
dam gap is of the same order as the cell size, with a large
ostium on top (45 mm) and a small one at the bottom
(15 mm). Tumor cells and their aggregation are larger than
the width of the gap, facilitating cell trapping for subsequent
study. Furthermore, each compartment can be isolated
during sample solution loading and waste exclusion, and
each has enough room for cell culture and proliferation.
A LabVIEW-controlled interface was used to automate
the operation of the integrated microfluidic system. Its
applied feasibility and flexibility were demonstrated through
the injection of different food-dye solutions to simulate the
manipulation process of sample mixing and delivery of
targeted samples to the cell sorting chamber (Supporting
Information, Movie S1), as well as the exchange of culture
medium and drug (Supporting Information, Movie S2).
3.2 Cell sorting
In this study, Con A was the key for the combination of
tumor cell characteristic and microstructure for K562
separation. Con A is a lectin isolated from the seeds of jack
beans (Canavalia ensiformis), which can bind to cell
membrane glycoprotein and glycolipid of many cell types,
such as RBCs, hepatocytes, and transformed and nontrans-
formed cell lines, especially many kinds of tumor cells
[42, 43]. In determining the possible mechanism for Con A
derivational cellular interactions, cell member asialofetuin, a
glycoprotein possessing several branched oligosaccharide
side chains with terminal nonreducing galactosyl residues is
recognized to bind to the membrane of tumor cells and to
induce homotypic aggregation, presumably by serving as a
cross-linking bridge between adjacent cells [44]. Compared
with healthy cells, tumor cells excessively express glycopro-
tein, resulting in a remarkable tumor aggregate when Con A
is added. Therefore, the separation of CTCs from whole
blood without healthy cell aggregation is possible when an
appropriate Con A concentration is used.
To optimize the Con A concentration for K562 cell
agglomeration, a series of Con A solutions with different
concentrations was, respectively, added into parallel whole
blood samples and K562 cell suspensions. The results
(Fig. 2, and Supporting Information Fig. S2) show that
RBCs coagulated into an irregular conglomeration and
formed virgulate cells when the Con A concentration
was 10.0, 1.0, 0.1, and 0.01 mg/L, but no aggregates were
formed when the Con A concentration was less than
0.005 mg/L. The K562 cells all coagulated when the Con
A concentration ranged from 10.0 to 1.25� 10�3 mg/L.
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No aggregation occurred when the Con A concentration was
6.25� 10�4 mg/L. Therefore, the optimal Con A concentra-
tion utilized in this study for K562 cell separation was
2.50� 10�3 mg/L. In addition, the use of K562 cell density
(2� 105 cells/mL) in blood was according to the criterion of
diagnosis definition – patients with markedly elevated WBC
counts (>1� 108 cells/mL) in the blood [45]. The K562 cell
concentration (2� 105 cells/mL) utilized in this study was
much lower than that in patient blood.
When fresh blood mixture with K562 cells was loaded
into the microdevice for K562 cell sorting, small cells such
as RBCs and WBCs went through the dam structure,
whereas agglomerated K562 cells were boxed up in the dam
structure (Supporting Information Fig. S3 and Movie S3).
The width of the dam gap is the most essential factor for
tumor cell sorting. In static state, RBCs assume a biconcave
discoid shape with a diameter of 8 mm and a thickness
of 2 mm. Although lymphocytes are small cells, mostly
6–15 mm in diameter, most WBCs, mainly including
60–75% neutrophils, 20–45% lymphocytes, and 2–10%
monocytes, are spherical with a diameter of more than
10 mm [24]. Therefore, when blood samples containing K562
cells flowed through the cell trapping region, all RBCs and
WBCs smoothly passed the dam structures, whereas K562
cell conglomerations were trapped. As shown in Supporting
Information Fig. S3 and Movie S3, the agglomerated K562
cells with a diameter of more than 40 mm (two cell
agglomerate diameter), as well as individual K562 cells, were
boxed up in the dam structures. This result was in accor-
dance with the original intention of the dam dimension
design. Further, the results indicated that the utilization of
Con A greatly enhanced separation efficiency. Taking into
account the impact of flow velocity of the blood samples on
separation efficiency, the relationship of separation effi-
ciency and flow velocity was also investigated. The results
(Fig. 3) indicate that an increase in flow velocity can
decrease separation velocity. When the flow velocity was less
than 1.0 mL/min, a higher efficiency, more than 80%, was
obtained. In fact, the flow velocity of 1.0 mL/min was utilized
in the subsequent study.
3.3 Cell identification
After K562 cell sorting in the microfluidic device and the
subsequent deposition of individual cells, the identification
of K562 cells was performed through immunofluorescence
assay [46]. For this purpose, the primary antibody, mouse
ascites polyclonal anti-K562 cell surface membrane antigen
antibody, was first loaded into the cell trapping region. After
incubation for 1 h and rinsing with PBS, FITC-labeled
diagnostic polyclonal antibody, goat antimouse IgG-FITC
Figure 1. Configuration of the integratedmicrofluidics. (A) Schematic representationof the two functional regions in the device,i.e. sample mixing region and cell trappingregion. The consecutive, arranged denta-tion micromixer in the sample mixingregion and the microdam in the cell trap-ping region were designed, respectively, forquick sample mixing and tumor cell trap-ping (enlarged images of the square indotted lines). (B) Optical image of the actualdevice. (C) SEM images of the micromixer(top) and microdam (bottom), which wererecorded on a scanning electron micro-scope (SEM, JSM-6701F, Japan).
Figure 2. Mean diameter of the aggregated RBCs and K562 cellsunder different concentrations of Con A treatment, quantifiedusing Software Image-Pro Plus 6.0 (Media Cybernetics).
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antibody, was injected into the same region for the labeling
of target cells. The results (Fig. 4A) showed that almost 99%
trapped cells are target cells. On-chip cell viability assay
showed that the viability of K562 cells was 94.4% (Fig. 4B).
Few cell deaths were due to natural cell apoptosis.
3.4 Assay of CTC responses to an anticancer drug
Tumor cell sensitivity to anticancer drugs varies in certain
situations. Cell viability is very important for an effective
cancer therapy [47]. In order to integrate cell-related studies
after CTC separation, the integrated microfluidic device was
applied to the study of K562 cell responses to an anticancer
drug. As mentioned above, the cell sorting chambers can
also be applied for cell culture. They have a steady and
homogeneous culture environment, and are feasible for a
precise cell–drug testing. To demonstrate this feasibility,
the damnification effect of K562 cells after treatment
with cytarabine was examined. Cytarabine, a preferred
chemotherapy drug for the treatment of leukemia [48], can
inhibit DNA and RNA polymerases, as well as the
nucleotide reductase enzymes needed for cell DNA synth-
esis, resulting in tumor cell damage or death [49, 50].
The K562 cells cultured in the microdevice were treated
with various concentrations (0.25, 0.5, and 1.0 g/L) of
cytarabine for 6 h. Cell viability was optically observed and
evaluated using PI staining assay following the methods
reported previously [39, 40]. After the treatment with
cytarabine, the dead cells were observed to be wizened,
anomalistic on the cell silhouette, gray in the micrograph,
and stained as red dots in the fluorescent image (Supporting
Information Fig. S4). On the contrary, the living cells were
round, glazed on the cell silhouette, not stained (black) in
the fluorescent images, and had better brightness in the
micrograph. In addition, the number of dead cells increased
with an increase in the concentration of cytarabine. The
quantitative relationship of cell viability and administered
cytarabine concentration is shown in Fig. 5. After 6 h
treatment, the cancer cells had a viability rate of 85.29, 77.05,
and 40% for drug concentration levels of 0.25, 0.5, and
1.0 g/L, respectively. Further testing is needed to determine
the proper regime of dosing and treatment time for effective
Figure 3. Separation efficiency of the K562 cells under differentflow velocities.
Figure 4. (A) Immunofluorescence assayfor K562 cell identification. Top: opticalimage of the K562 cells; Bottom: thecorresponding fluorescent image. (B)Bottom: analysis of K562 cell viabilityusing PI assay. The K562 cell viabilitywas 94.4% by counting dead cells fromthe fluorescent image. Top: correspond-ing optical image of the fluorescentimage.
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chemotherapeutic results. Overall, the testing was
meant to demonstrate the feasibility of using the
proposed platform for an in vitro evaluation of chemo-
sensitivity. Further experiments on the applications of
this microdevice in cellular studies, such as other CTC
separations, more complex blood sample use, as well as
targeted cell responses to other drugs, are underway in our
laboratory.
4 Concluding remarks
The combination of lectin and microstructure was demon-
strated to have the capability to improve CTC separation
substantially. When the flow velocity of the blood samples
was 1.0 mL/min, and the initial K562 cell density was
2.0� 105 cells/mL, the separation efficiency of K562 cells
can reach 84%. Also, integration merged with this micro-
device facilitated in vitro operation for cell separation and cell-
related studies in a rapid and efficient manner. Therefore, the
use of this model is proposed as one of the practical tools for
improving the separation efficiency of targeted cells, as well
as for cell-related studies in an integrated microfluidic device.
Additionally, dam structure sorting has potential in high flux
cell isolation, and it can play an important role in both the
diagnosis and therapy of various diseases. For example, the
device can be employed to capture metastatic cells in patient
peripheral circulation for drug screening, molecular diag-
nosis, and purging of cancer cells prior to transplantation.
This work was supported by the National Natural ScienceFoundation of China (nos. 209 750 82; 207 750 59), Ministryof Education of the People’s Republic of China (NCET-08-0464),State Forestry Administration of the People’s Republic of China(No. 200904004), Scientific Research Foundation for ReturnedOverseas Chinese Scholars, State Education Ministry, andNorthwest A&F University grants.
The authors have declared no conflict of interest.
5 References
[1] Jemal, A., Murray, T., Ward, E., Samuel, A., Tiwar, R.,Ghafoor, A., Feuer, E. J., Thun, M. J., Cancer J. Clin.2005, 55, 10–30.
[2] Pantel, K., Muller, V., Auer, M., Nusser, N., Harbeck, N.,Braun, S., Clin. Cancer Res. 2003, 9, 6326–6344.
[3] Maheswaran, S., Haber, D. A., Curr. Opin. Gene. Dev.2010, 20, 96–99.
[4] Vincent-Salomon, A., Bidard, F. C., Pierga, J. Y., J. Clin.Pathol. 2008, 61, 570–576.
[5] Sergeant, G., Penninckx, F., Topal, B., J. Surg. Res. 2008,150, 144–152.
[6] Pachmann, K., Camara, O., Kavallaris, A., Krauspe, S.,Malarski, N., J. Clin. Oncol. 2008, 26, 1208–1215.
[7] Alunni-Fabbroni, M., Sandri, M. T., Methods.DOI:10.1016/j.ymeth.2010.01.027
[8] Molnar, B., Ladanyi, A., Tanko, L., Sreter, L., Tulassay,Z., Clin. Cancer Res. 2001, 7, 4080–4085.
[9] Leger, D. Y., Battu, S., Liagre, B., Beneytout, J. L.,Cardot, P. J. P., Anal. Biochem. 2006, 355, 19–28.
[10] Zhu, H., Yan, J., Revzin, A., Colloids Surf. B Biointer-faces 2008, 64, 260–268.
[11] Song, S. H., Kwak, B. S., Park, J. S., Kim, W., Jung, H. I.,Sens. Actuators B 2009, 151, 64–70.
[12] Mostert, B., Sleijfer, S., Foekens, J. A., Gratama, J. W.,Canc. Treat. Rev. 2009, 35, 463–474.
[13] Paterlini-Brechot, P., Benali, N. L., Cancer Lett. 2007,253, 180–204.
[14] Whitesides, G. M., Nature 2006, 442, 368–373.
[15] Whitesides, G. M., Small 2005, 1, 172–179.
[16] Lu, Y., Shi, W. W., Qin, J. H., Lin, B. C., Electrophoresis2009, 30, 579–582.
[17] Ma, B., Zhang, G. H., Qin, J. H., Lin, B. C., Lab chip 2009,9, 232–238.
[18] Xie, H., Li, B. W., Qin, J. H., Huang, Z. D., Zhu, Y. S.,Lin, B. C., Electrophoresis 2009, 30, 3514–3518.
[19] Fiddes, L. K., Chan, H. K., Lau, B., Kumacheva, E.,Wheeler, A. R., Biomaterials 2010, 31, 315–320.
[20] Kang, Y. J., Wu, X. D., Wang, Y. N., Li, D. Q., Anal. Chim.Acta 2008, 626, 97–103.
[21] Liu, T. J., Li, C. Y., Li, H. J., Zeng, S. J., Qin, J. H., Lin,B. C., Electrophoresis 2009, 30, 4285–4291.
[22] Wu, A. R., Hiatt, J. B., Lu, R., Attema, J. L., Lobo, N. A.,Weissman, I. L., Clarke, M. F., Quake, S. R., Lab Chip2009, 9, 1365–1370.
[23] De Mello, A. J., Nature 2006, 442, 394–402.
[24] Chen, X., Cui, D. Fu., Liu, C. C., Li, H., Sens. Actuators B2008, 130, 216–221.
[25] Lee, D., Sukumar, P., Mahyuddin, A., Choolani, M., Xu,G. L., J. Chromatogr. A 2010, 1217, 1862–1866.
[26] Inglis, D. W., Davis, J. A., Zieziulewicz, T. J., Lawrence,D. A., Austin, R. H., Sturm, J. C., J. Immunol. Met. 2008,29, 151–156.
[27] Chen, C. C., Zappe, S., Sahin, O., Zhang, X. J., Fish, M.,Scott, M., Solgaard, O., Sens. Actuators B 2004, 102,59–66.
Figure 5. Comparison of cell viability at various concentrationsof cytarabine. Cell viability is evaluated based on counting theliving and dead cells from the microscopic images usingSoftware Image-Pro Plus 6.0 (Media Cybernetics). Data arepresented as mean7SD of three repeated experiments.
Electrophoresis 2010, 31, 3159–3166 Microfluidics and Miniaturization 3165
& 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.electrophoresis-journal.com
[28] Chen, Z. Z., Zhang, S. Y., Tang, Z. M., Xiao, P. F., Guo,X. Y., Lu, Z. H., Surf. Interface Anal. 2006, 38, 996–1003.
[29] Mohamed, H., Murray, M., Turner, J. N., Caggana, M.,J. Chromatogr. A 2009, 1216, 8289–8295.
[30] Mohamed, H., McCurdy, L. D., Szarowski, D. H., Duva,S., Turner, J. N., Caggana, M., IEEE Trans. Nanobiosic.2004, 3, 251–256.
[31] Wilding, P., Kricka, L. J., Cheng, J., Hvichia, G., Shoffner,M. A., Fortina, P., Anal. Biochem. 1998, 257, 95–100.
[32] Rinker Schaeffer, C. W., Partin, A. W., Isaacs, W. B.,Coffey, D. S., Isaacs, J. T., The prostate, 1994, 26,249–265.
[33] Weiss, L., Cell Biochem. Biophys. 1991, 18, 73–79.
[34] Mahana, W., Paraf, A., J. Immunol. Met. 1993, 161,187–192.
[35] Sui, G. D., Lee, C. C., Kamei, K. I., Li, H. J., Wang, J. Y.,Wang, J., Herschman, H. R., Tseng, H. R., Biomed.Microdevices 2007, 9, 301–305.
[36] Velve-Casquillas, G., Berrea, M. L., Piel, M., Trana, P. T.,Nano Today 2010, 5, 28–47.
[37] Unger, M. A., Chou, H. P., Thorsen, T., Scherer, A.,Quake, S. R., Science 2000, 288, 113–116.
[38] Duffy, D. C., McDonald, J. C., Schueller, O. J. A.,Whitesides, G. M., Anal. Chem. 1998, 70, 4974–4984.
[39] Tsai, S., Spikings, E., Kuo, F. W., Lin, N. C., Lin, C.,Theriogenology 2010, 73, 605–611.
[40] Steinkamp, J. A., Lehnert, B. E., Lehnert, N. M.,J. Immunol. Methods 1999, 226, 59–70.
[41] Sheen, H. J., Hsu, C. J., Wu, T. H., Chu, H. C., Chang,C. C., Lei, U., Sens. Actuators A 2007, 139, 237–244.
[42] Leist, M., Wendel, A., J. Hepatol. 1996, 25, 948–959.
[43] Vetri, V., Carrotta, R., Picone, P., Carlo, M. D., Militello,V., Biochim. Biophys. Acta 2010, 1804, 173–183.
[44] Mora, J., Gascon, N., Tabernero, J. M., Germa, J. R.,Gonzalez, F., Eur. J. Cancer 1995, 31A, 2239–2242.
[45] Vardiman, J. W., Harris, N. L., Brunning, R. D., Blood2002, 100, 2292–2302.
[46] Tainsky, M. A., Biochim. Biophys. Acta 2009, 1796,176–193.
[47] Assef, Y. A., Cavarra, S. M., Damiano, A. E., Ibarra, C.,Kotsias, B. A., Leukemia Res. 2005, 29, 1039–1047.
[48] Bahng, H., Lee, J. H., Ahn, J. H., Lee, J. H., Lee, J. S.,Kim, S. H., Kim, W., Lee, K. H., Leukemia Res. 2001, 25,213–216.
[49] Galmarini, C. M., Thomas, X., Calvo, F., Rousselot, P.,Jafaari, A. E., Cros, E., Dumontet, C., Leukemia Res.2002, 26, 621–629.
[50] Wang, J. Y., Wa, Z. F., Liu, W. M., Li, L., Ren, Li., Wang,X. Q., Sun, P., Ren, L. L., Zhao, H. Y., Tu, Q., Zhang, Z. Y.,Song, N., Zhang, L., Biosens. Bioelectro. 2009, 25,721–727.
Electrophoresis 2010, 31, 3159–31663166 L. Li et al.
& 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.electrophoresis-journal.com