Xinglong Zhu1, Qiong Wu1,2, Yuting He1, Mengyu Gao1,3, Yi Li1,4, Wanliu Peng1, Shengfu Li5, Yong Liu6, Rundong Zhang7, Ji Bao1. 1. Institute of Clinical Pathology, Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China. 2. Laboratory of Liver Transplantation, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China. 3. Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China. 4. Precision Medicine Key Laboratory, West China Hospital, Sichuan University, Chengdu 610041, China. 5. Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China. 6. Department of Burn and Plastic Surgery, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China. 7. West China School of Medicine, Sichuan University, Chengdu 610041, Sichuan Province, China.
Abstract
Three-dimensional (3D) culture via micropattern arrays to generate cellular spheroids seems a promising in vitro biomimetic system for liver tissue engineering applications, such as drug screening. Recently, organ-derived decellularized extracellular matrix emerges as arguably the most biomimetic bioink. Herein, decellularized liver matrix (DLM)-derived micropattern array chips were developed to fabricate size-controllable and arrangement-orderly HepG2 spheroids for drug screening. The porcine DLM was obtained by the removal of cellular components and then ground into powder, followed by enzymolysis. DLM as a coating substrate was compared with collagen type I (Col I) and Matrigel in terms of biological performance for enhancing cell adhesion, proliferation, and functions. Subsequently, we used poly(dimethylsiloxane) (PDMS) to adsorb DLM as the bioink to fabricate micropattern array chips. The optimal shape and size of micropattern were determined by evaluating the morphology, viability, and functions of HepG2 3D cellular aggregates. In addition, drug-susceptibility testing (paclitaxel, doxorubicin HCl, and disulfiram) was performed on this novel platform. The DLM provided the tissue-specific microenvironment that provided suitable supports for HepG2 cells, compared to Col I and Matrigel. A circular micropattern with a diameter of 100 μm was the optimal processing parameter to rapidly fabricate large-scale, size-controllable, and arrangement-orderly HepG2 cellular aggregates with 3D spheroid's shape and high cell viability. Drug screening testing showed that the effect of a drug could be directly demonstrated on-chip by confocal microscopy measuring the viability of spheroids. We provide a novel platform for the large-scale generation of HepG2 spheroids with uniform size and arrangement, thus bringing convenience, reducing error, and increasing reproducibility for a rapid drug discovery by fluorescence quantitative analysis. This methodology may be possible to apply in advancing personalized medicine and drug discovery.
Three-dimensional (3D) culture via micropattern arrays to generate cellular spheroids seems a promising in vitro biomimetic system for liver tissue engineering applications, such as drug screening. Recently, organ-derived decellularized extracellular matrix emerges as arguably the most biomimetic bioink. Herein, decellularized liver matrix (DLM)-derived micropattern array chips were developed to fabricate size-controllable and arrangement-orderly HepG2 spheroids for drug screening. The porcine DLM was obtained by the removal of cellular components and then ground into powder, followed by enzymolysis. DLM as a coating substrate was compared with collagen type I (Col I) and Matrigel in terms of biological performance for enhancing cell adhesion, proliferation, and functions. Subsequently, we used poly(dimethylsiloxane) (PDMS) to adsorb DLM as the bioink to fabricate micropattern array chips. The optimal shape and size of micropattern were determined by evaluating the morphology, viability, and functions of HepG2 3D cellular aggregates. In addition, drug-susceptibility testing (paclitaxel, doxorubicin HCl, and disulfiram) was performed on this novel platform. The DLM provided the tissue-specific microenvironment that provided suitable supports for HepG2 cells, compared to Col I and Matrigel. A circular micropattern with a diameter of 100 μm was the optimal processing parameter to rapidly fabricate large-scale, size-controllable, and arrangement-orderly HepG2 cellular aggregates with 3D spheroid's shape and high cell viability. Drug screening testing showed that the effect of a drug could be directly demonstrated on-chip by confocal microscopy measuring the viability of spheroids. We provide a novel platform for the large-scale generation of HepG2 spheroids with uniform size and arrangement, thus bringing convenience, reducing error, and increasing reproducibility for a rapid drug discovery by fluorescence quantitative analysis. This methodology may be possible to apply in advancing personalized medicine and drug discovery.
Liver
cancer is among the most fatal malignant tumors, with an
ever-increasing annual percentage globally. Currently, chemotherapy
is one of the primary therapeutic options for hepatocellular carcinomas
(HCCs) treatment.[1] For decades, the traditional
two-dimensional (2D) culture platforms have been widely used in high-throughput
antihepatoma compounds and drug screening.[2] Nevertheless, the models lack the intricate microenvironment of
native tumors, including cell–cell and cell–extracellular
matrix interactions, which are crucial factors to affect cell fate.[3] Moreover, 2D monolayered cells cannot mimic biochemical
concentration gradients in vivo because they are
exposed to a uniform concentration of factors due to direct contact
with the culture medium.[4] Conversely, three-dimensional
(3D) tumor spheroids could significantly improve the viability, histomorphology,
genotype stability, function, and drug metabolism of tumor cells in vitro.(5) Their rearrangement
and compaction of cell aggregates are surrounded by a natural extracellular
matrix (ECM), which better replicates the microenvironment of solid
tumors in vivo.(6) Furthermore,
tumor spheroids exhibited higher drug resistance of anticancer drugs
than 2D models and are promising in the prediction of drug penetration
widely overlooked.[3]The applications
of tumor spheroids have been limited by many factors,
such as cost and reproducibility. Different spheroids culturing techniques
will influence the spheroids’ shape, size, surface features,
internal textures, and density. Especially, the shape and size of
spheroids can affect the outcome of drug delivery and efficacy.[7,8] Consequently, it is necessary to modulate the concordance of spheroids’
morphological characteristics to reduce error and increase reproducibility.
The tumor spheroid culturing methods include the hanging drop method,
matrix encapsulation culturing, spinner flasks culturing, ultralow
attachment plates, rocked suspension culture techniques, microfluidics,
microwell meshes, magnetic levitation, and 3D-printing technology.[9−12] However, these methods are difficult to control the size and arrangement
of tumor spheroids, thereby causing difficulties in observing and
analyzing tumor spheroids. They also cause low efficiency and poor
repeatability of drug screening.[2] Micropatterned
arrays formed by covalently or noncovalently coating carbohydrates,
peptides, and proteins form patterned arrangements of the definite
shape and size on planar substrates.[13] Cells
are restrictively adhered to the micropattern, resulting in limited
cell growth. Furthermore, cells will spontaneously assemble into spheroids
with a 3D multicellular structure by the proliferation of cells and
cell–cell adhesion abilities.[14] These
arrangements enable culturing a controllable size and orderly arrangement
of 3D multicellular spheroids for high-throughput screening. Poly(dimethylsiloxane)
(PDMS)-adsorbed proteins (as a bioink) create protein-specific microarrays
on nonattachment plates by microcontact printing technology.[15,16] These plates have been widely used in cytology, drug screening,
and tissue engineering.[17] Fibronectin,
collagen I, collagen IV, and laminin as bioinks are mainly used for
the traditional micropattern array.[18,19] However, the
single ECM protein component is not enough to improve and regulate
the viability and functions of specific cell lines, primary cells,
or induced pluripotent stem cell (iPSC)-derived differentiated cells.[20]Recent advances in whole organ and tissue
decellularization have
made it possible to obtain organ-specific ECM with unique architecture,
composition, and biological and physical properties.[21−23] Compared with a single ECM protein component, such as collagen I
which was widely used in the liver tissue engineering, liver-specific
ECM containing various biomacromolecules directs signal molecules
or interacts with tumor cells through integrins, discoidin domain
receptors (DDRs), and transmembrane protein proteoglycans to regulate
the signaling pathways related to cell proliferation, migration, and
differentiation, thereby influencing the cells’ biological
behavior.[24,25]Herein, we assessed the reservation
and categories of biomacromolecules
in decellularized liver matrix (DLM) after decellularization. HepG2
cells cultured on the DLM as coating substrate exhibited a higher
cell adhesion rate, viability, proliferation, and functions than Matrigel
and Col I. HepG2 cellular aggregates were fabricated by combining
the patterned microarray and DLM as the bioink. The effects of the
shape (round and square) and diameter (50, 75, 100, 150, 200, and
300 μm) of the patterned microarray on the morphology, homogeneity,
viability, and functions of HepG2 cellular aggregates were then explored.
HepG2 spheroids on DLM micropattern arrays were subsequently used
as a testing platform for drug screening to evaluate the toxicity
of paclitaxel, doxorubicin HCl, and disulfiram by fluorescence quantitative
analysis. In general, the process of this study is shown in Figure .
Figure 1
Schematic illustration
of DLM micropattern array chips to fabricate
HepG2 spheroids for drug screening. DLSs (decellularized liver scaffolds);
DLM (decellularized liver matrix); PDMS (poly(dimethylsiloxane)).
Schematic illustration
of DLM micropattern array chips to fabricate
HepG2 spheroids for drug screening. DLSs (decellularized liver scaffolds);
DLM (decellularized liver matrix); PDMS (poly(dimethylsiloxane)).
Results
Fabrication
of DLM
The whole liver
became white and translucent after decellularization (Figure A). The DNA content was 10671.2
± 37.76 ng/mg in the normal tissue and 26.2 ± 1.83 ng/mg
in the decellularized liver (p < 0.05) (Figure C). H&E (Figure B) and DAPI staining
(Figure E) revealed
no visible cell nuclei or cellular components in the decellularized
livers. Scanning electron microscopy (SEM) images of the decellularized
tissue revealed that the ECM ultrastructure was preserved (Figure D). Immunofluorescent
staining further revealed that major ECM proteins of the liver (Col
I, Col IV, laminin, and fibronectin) were preserved in the matrix
after decellularization (Figure G). Figure A,B shows that DLSs were powdered and digested to fabricate
DLM. Mass spectrometry demonstrated that the DLM is composed of the
α1 and α2 chains of collagen type I and α1 chains
of collagen type III (Figure F). The concentration of proteins presenting in the DLM solution
(10 mg/mL) was 6.25 ± 0.34 mg/mL.
Figure 2
Characteristics of porcine
DLM. (A) Macroscopic view of the native
and decellularized liver. (B) Hematoxylin and eosin (H&E) staining
of native liver and DLM. (C) Quantification of DNA content in native
liver and DLM (n = 3, *p < 0.05).
(D) Electron microscopy (SEM) images of native liver and DLM. (E)
4′,6-Diamidino-2-phenylindole (DAPI) staining of native liver
and DLM. (F) Protein composition of DLM (n = 3).
(G) Immunohistochemistry (red) for DLM proteins (collagen I, collagen
IV, laminin, and fibronectin) of native liver and DLM; the nuclei
were counterstained with DAPI (blue). Scale bars of B, E, and G =
100 μm; scale bar of D = 10 μm.
Figure 3
Preparation
of soluble DLM and culture of HepG2 cells on DLM-coated
substrates. (A) Powder of DLM. (B) Soluble DLM. (C) Number of HepG2
cells adhesion rate onto each substrate at 4 h after cell seeding.
(D) Proliferation of HepG2 cells (cck-8) onto the substrates on day
1 after cell seeding. (E) Viability of HepG2 cells cultured on each
substrate (n = 3). (F) Live/Dead staining of HepG2
cells cultured on each substrate on days 1, 3, and 5. (G) Quantification
of albumin secretion from hepatocytes cultured on each substrate using
a human albumin ELISA kit (n = 3). Quantification
of urea synthesis by HepG2 cells cultured on each substrate using
the urea assay kit (n = 3). Each substrate (noncoated,
DLM, Col I, and Matrigel-coated substrate). *p <
0.05, compared to the noncoated group, #p < 0.05,
compared to the DLM-coated group, scale bar = 100 μm.
Characteristics of porcine
DLM. (A) Macroscopic view of the native
and decellularized liver. (B) Hematoxylin and eosin (H&E) staining
of native liver and DLM. (C) Quantification of DNA content in native
liver and DLM (n = 3, *p < 0.05).
(D) Electron microscopy (SEM) images of native liver and DLM. (E)
4′,6-Diamidino-2-phenylindole (DAPI) staining of native liver
and DLM. (F) Protein composition of DLM (n = 3).
(G) Immunohistochemistry (red) for DLM proteins (collagen I, collagen
IV, laminin, and fibronectin) of native liver and DLM; the nuclei
were counterstained with DAPI (blue). Scale bars of B, E, and G =
100 μm; scale bar of D = 10 μm.Preparation
of soluble DLM and culture of HepG2 cells on DLM-coated
substrates. (A) Powder of DLM. (B) Soluble DLM. (C) Number of HepG2
cells adhesion rate onto each substrate at 4 h after cell seeding.
(D) Proliferation of HepG2 cells (cck-8) onto the substrates on day
1 after cell seeding. (E) Viability of HepG2 cells cultured on each
substrate (n = 3). (F) Live/Dead staining of HepG2
cells cultured on each substrate on days 1, 3, and 5. (G) Quantification
of albumin secretion from hepatocytes cultured on each substrate using
a human albumin ELISA kit (n = 3). Quantification
of urea synthesis by HepG2 cells cultured on each substrate using
the urea assay kit (n = 3). Each substrate (noncoated,
DLM, Col I, and Matrigel-coated substrate). *p <
0.05, compared to the noncoated group, #p < 0.05,
compared to the DLM-coated group, scale bar = 100 μm.
DLM as Coating Substrate
for HepG2 Cell Culture
The DLM-coated substrate had a higher
number of adhered cells after
4 h seeding than the other groups (Figure C). Similarly, the proliferation and viability
of HepG2 cells cultured on DLM-coated substrates were significantly
higher than other groups after culturing for 1 day (Figure D,E). The HepG2 cells on the
DLM-, Col I- and Matrigel-coated substrate showed a more flattened
morphology due to strong adhesion, compared to the untreated substrate
(Figure F). The albumin
secretion and urea synthesis of HepG2 cells cultured on the DLM-coated
substrate were significantly higher than those in other groups at
all time points within 1 week (Figure G,H).
DLM Micropattern Array
for Culturing 3D HepG2
Cellular Aggregates
Round and square PDMS micropatterns with
different diameters absorbed the DLM solution to create specific uniform
micropattern arrays on nontreated cell culture dishes (Figures A,B and S1A,B). Monolayer cells were restricted in micropattern array
and further gradually formed 3D cellular aggregates through self-organization
by the limitation of adhesive area and proliferation of cells. HepG2
cells formed a monolayer at the microarray points after 6 h of seeding
(Figures C and S1C). The average numbers of adherent cells on
the round micropattern with diameters ranging from 50 to 300 μm
were 3.89 ± 0.48, 11.56 ± 0.56, 19.33 ± 1.28, 30.56
± 1.46, 39.11 ± 1.61, and 85.78 ± 1.61 cells (Figure S2A). The average numbers of adherent
cells on the square micropattern with diameters ranging from 50 to
300 μm were 5.33 ± 0.47, 13.56 ± 0.53, 23.78 ±
0.72, 34.44 ± 0.96, 51.56 ± 1.83, and 101.11 ± 2.64
cells (Figure S2D). Size-controllable and
arrangement-orderly cellular aggregates were subsequently observed
on the DLM micropattern array chips at day 3. Interestingly, cellular
aggregates derived from different geometric shapes of micropattern
had quite different geometric topologies. For example, the round micropattern
almost produced the round cellular aggregates (Figure D) and the square micropattern produced round
or square cellular aggregates (Figure S1D). The cellular aggregates formed by square micropatterns (50 to
150 μm) had a round morphology accounting for 88.87 ± 1.44,
78.33 ± 2.53, 69.43 ± 2.94, and 42.77 ± 2.44%, while
round cellular aggregates formed by 200 or 300 μm square micropatterns
were not observed (Figure S2F). The average
diameters of the cellular aggregates on the round micropattern with
diameters ranging from 50 to 300 μm were 61.46 ± 1.20,
74.06 ± 0.76, 97.02 ± 1.12, 148.15 ± 1.09, 195.40 ±
1.85, and 291.71 ± 1.17 μm (Figure S2B). The average diameters of the cellular aggregates on the
square micropattern with diameters ranging from 50 to 300 μm
were 71.23 ± 5.07, 97.83 ± 2.94, 115.60 ± 2.81, 157.36
± 2.57, 210.91 ± 2.55, and 296.00 ± 2.14 μm (Figure S2E). These results indicated that the
HepG2 cellular aggregates formed by round micropatterns had better
geometric shape and size uniformity than those from square micropatterns.
Cognizant of these, the round micropatterns were suitable for the
formation of size-controllable and arrangement-orderly cellular aggregates.
Figure 4
Fabrication
of the round DLM micropattern array chips and the formation
of 3D HepG2 cellular aggregates. (A) Round micropattern of PDMS seals
with different diameters. (B) Proper homogeneous transfer of DLM fluorescently
labeled to create round DLM micropattern array chips with different
diameters. (C) Microscopic images of HepG2 cells cultured on round
micropattern array chips with different diameters at 6 h. (D) Microscopic
images of cellular aggregates cultured on round micropattern array
chips with different diameters on day 3. Different diameters (50,
75, 100, 150, 200, and 300 μm). Scale bar = 100 μm.
Fabrication
of the round DLM micropattern array chips and the formation
of 3D HepG2 cellular aggregates. (A) Round micropattern of PDMS seals
with different diameters. (B) Proper homogeneous transfer of DLM fluorescently
labeled to create round DLM micropattern array chips with different
diameters. (C) Microscopic images of HepG2 cells cultured on round
micropattern array chips with different diameters at 6 h. (D) Microscopic
images of cellular aggregates cultured on round micropattern array
chips with different diameters on day 3. Different diameters (50,
75, 100, 150, 200, and 300 μm). Scale bar = 100 μm.
Characteristics of 3D HepG2
Cellular Aggregates
on the Round DLM Micropattern Array
HepG2 cells cultured
on the round micropattern showed a multicellular geometry, cellular
aggregates derived from different diameters of micropattern had quite
different geometric topologies. Cellular aggregates cultured on the
round micropattern with diameters ranging from 50 to 100 μm
presented 3D spheroid’s shape; cultured on the round micropattern
with diameters ranging from 150 to 300 μm showed a flat plate
with a hemispherical cap, which gradually became increasingly flat
(Figure A). The average
height of the cellular aggregates (Z-axis) on the
round micropattern with diameters ranging from 50 to 300 μm
were 50.80 ± 1.77, 69.53 ± 1.53, 99.40 ± 1.45, 79.95
± 2.22, 72.33 ± 3.66, and 55.67 ± 1.47 μm (Figure S2C). Consequently, 50–100 μm
cellular aggregates were called spheroids. Almost no cell death was
observed within HepG2 spheroids on the round micropattern with diameters
ranging from 50 to 100 μm on day 3. However, the number of dead
cells on the edge and inside of cellular aggregates gradually increased
with increased cellular aggregates’ diameter. Notably, significant
cell death was on the edge and inside of 150, 200, and 300 μm
cellular aggregates (Figure A). 2D cells and 50–300 μm cellular aggregates
were collected for key gene expression analyses. The hepatic genes alb, aat, ck18, cyp1a1, mrp2, and tat were highly expressed in the 100 μm spheroids,
which was significantly different from the 2D culture (p < 0.05); the genes alb, ck18,
and mrp2 expressed in the 100 μm spheroids
were significantly different from 50, 75, 150, 200, and 300 μm
cellular aggregates (p < 0.05) (Figure B). These findings strongly
suggested that the 100 μm spheroids with better viability and
functions were the most suitable size. The 100 μm spheroids
were formed on the round micropattern on the third day, but as the
culturing time increased, the gap distance between spheroids gradually
became smaller and adjacent spheroids were completely fused on the
fifth day (Figure S3).
Figure 5
Evaluation of 3D HepG2
cellular aggregates of different sizes.
(A) 3D view of cellular aggregates on the round DLM micropattern.
(B) Live/Dead staining of cellular aggregates with different diameters
cultured on round DLM micropattern array chips. Dead cells are stained
red, while viable cells are stained green. Scale bar = 50 μm.
(C) Gene expression levels of hepatic genes alb, aat, ck18, cyp1a1, mrp2, and tat were
determined for different diameters compared to cells cultured on tissue
culture plastic (TCP). *p <0.05, compared to the
2D, #p < 0.05, compared to the 100 μm, not
significant (ns), compared to the 100 μm. Different diameters
(50, 75, 100, 150, 200, and 300 μm).
Evaluation of 3D HepG2
cellular aggregates of different sizes.
(A) 3D view of cellular aggregates on the round DLM micropattern.
(B) Live/Dead staining of cellular aggregates with different diameters
cultured on round DLM micropattern array chips. Dead cells are stained
red, while viable cells are stained green. Scale bar = 50 μm.
(C) Gene expression levels of hepatic genes alb, aat, ck18, cyp1a1, mrp2, and tat were
determined for different diameters compared to cells cultured on tissue
culture plastic (TCP). *p <0.05, compared to the
2D, #p < 0.05, compared to the 100 μm, not
significant (ns), compared to the 100 μm. Different diameters
(50, 75, 100, 150, 200, and 300 μm).
Drug Screening of HepG2 Spheroids on DLM Micropattern
Arrays
HepG2 spheroids generated by the round DLM micropattern
array chips with a diameter of 100 μm on day 3 were subjected
to various concentrations of paclitaxel, doxorubicin HCl, and disulfiram
(5–100 μg/mL) (Figures A,B and S4). In the negative
control treated with 0.25% dimethyl sulfoxide (DMSO), the diameter
of spheroids continued to increase and adjacent spheroids were further
connected after 48 h, which did not occur in all chemotherapeutic
groups. Compared to pretreatment, spheroids treated with an increase
in the dose of doxorubicin HCl and incubated time had a looser structure
with more dropped cells, while the morphology of spheroids treated
with various concentrations of paclitaxel and disulfiram did not change
significantly after 48 h (Figure S4).
Figure 6
HepG2
spheroids cultured on DLM micropattern array chips (100 μm
round micropattern) for anticancer drug screening. (A) Live/Dead staining
of HepG2 spheroids before being treated with DMSO or drugs. (B) Live/Dead
staining of HepG2 spheroids with various concentrations (5–100
μg/mL) of paclitaxel, doxorubicin HCl, and disulfiram. Scale
bar = 100 μm.
HepG2
spheroids cultured on DLM micropattern array chips (100 μm
round micropattern) for anticancer drug screening. (A) Live/Dead staining
of HepG2 spheroids before being treated with DMSO or drugs. (B) Live/Dead
staining of HepG2 spheroids with various concentrations (5–100
μg/mL) of paclitaxel, doxorubicin HCl, and disulfiram. Scale
bar = 100 μm.For efficient and accurate
drug screening, through the FluoroQuench
fluorescent staining, the fluorescent images converted into gray images
were automatically measured. The mean gray value representing the
viability of the spheroids was further revealed to detect the drug
efficiency. It can be observed that the cell death relied on the dose
of drugs and incubated time. In all chemotherapeutic groups, for higher
concentrations of drugs (50 and 100 μg/mL), the dead cells started
to increase as soon as 24 h after incubated with drugs compared to
lower drug concentrations (5 and 10 μg/mL); with an increase
in incubated time, more and more cells on the spheroid surface died,
followed by those inside the spheroids after 48 h in all chemotherapeutic
groups (Figures B
and 7A,B). The doxorubicin HCl treatment showed
that the spheroids almost completely died at 24 h after being treated
with 100 μg/mL doxorubicin HCl and at 48 h after being treated
with 50 and 100 μg/mL doxorubicin HCl, and the viabilities were
5.83 ± 1.95, 5.07 ± 1.71 and 4.00 ± 1.27%, respectively
(Figures B and 7A,B). However, for the paclitaxel and disulfiram
treatment, the cells inside the spheroids did not die at 48 h after
being treated with the highest concentration of drugs (100 μg/mL),
and the viabilities were 30.60 ± 1.68 and 28.00 ± 1.87%,
respectively (Figures B and 7B). The results implied that doxorubicin
HCl had a higher efficiency compared to paclitaxel and disulfiram.
We next validated the authenticity of the above drug test results
through CCK-8 (Figure C,D). The viability detected by CCK-8 was notably positively correlated
with the mean gray value (r = 0.9648 and p < 0.05) (Figure E). These results suggested that the CCK-8 results were consistent
with the FluoroQuench fluorescent staining results.
Figure 7
Quantitatively analyzing
the efficacy of an anticancer drug. The
viability of HepG2 spheroids (mean gray value) with various concentrations
(5–100 μg/mL) of paclitaxel, doxorubicin HCl, and disulfiram
at (A) 24 h and (B) 48 h and the viability of HepG2 spheroids (CCK-8)
with various concentrations (5–100 μg/mL) of paclitaxel,
doxorubicin HCl, and disulfiram at (C) 24 h and (D) 48 h (*p < 0.05, compared to doxorubicin HCl). (E) Correlation
between mean gray value and viability detected by CCK-8 (r indicates correlation coefficient).
Quantitatively analyzing
the efficacy of an anticancer drug. The
viability of HepG2 spheroids (mean gray value) with various concentrations
(5–100 μg/mL) of paclitaxel, doxorubicin HCl, and disulfiram
at (A) 24 h and (B) 48 h and the viability of HepG2 spheroids (CCK-8)
with various concentrations (5–100 μg/mL) of paclitaxel,
doxorubicin HCl, and disulfiram at (C) 24 h and (D) 48 h (*p < 0.05, compared to doxorubicin HCl). (E) Correlation
between mean gray value and viability detected by CCK-8 (r indicates correlation coefficient).
Discussion
Tumor spheroids, as a 3D in vitro model, possess
potentially predictive capacity for preclinical drug screening.[26] We have described modular and liver-specific
micropattern array chips that allow us to efficiently fabricate large-scale,
size-controllable, and arrangement-orderly HepG2 spheroids within
3 days. Our novel spheroid culture platform is composed of DLM and
micropattern arrays. The DLM was obtained by the removal of cellular
components and then grinding into powder, followed by enzymolysis
to prepare the liver-specific bioink. Microcontact printing technology
creates the limiting space, which can restrict the growth of cells
to control the size and arrangement of spheroids, thus bringing convenience,
reducing error, and increasing reproducibility for drug testing and
screening. We demonstrated that the possibility of drug testing can
be preliminarily, quickly, and directly analyzed by confocal microscopy
analyzing fluorescence intensity on our chips, which eliminates the
need for extracting the formed tumor spheroids and then performing
the analysis in a separate well plate.Currently, several cell
spheroid culture methods have been developed.
The common hanging drop culture method takes advantage of the gravitational
force to induce the cellular auto-assembly, and the microwell technique
uses low-surface-energy materials as coating materials, which reduce
the cell–substrate interaction to facilitate the formation
of spheroids.[27−29] The size of spheroids from these spheroid culture
methods can be roughly controlled by introducing a defined numbers
of cells to each droplet or microwell, which is labor-intensive and
difficult to achieve on a large scale with a wide diameter variation
and irregular morphology of spheroids.[30] Rocker system, through rocking, prevents cell sedimentation, promotes
mixing and oxygenation, and increases the frequency of collisions
between cells, thereby generating large-scale spheroids of different
sizes.[31] Herein, micropattern arrays offer
unique advantages over these spheroid culture methods to overcome
the above difficulties. The diameter coefficient of variation was
less than 6% (round micropatterns) by micropattern arrays. The diameter
coefficient of variation of manner mouse mesenchymal stem cell (MSC)
spheroids is just less than 10% by the automatic hanging drop system.[27] Micropatterns of precise area can limit the
growth of cells to spontaneously assemble into size-controllable and
regularly morphologic spheroids in several simple operations (seeding
cells and removing unattached cells). The validation and consistency
of oxygen, nutrition, and drug transport are guaranteed by the precise
control over the size of spheroids.[3] A
2 × 2 cm2 micropattern (round 100 μm) array
chip containing 1.44 × 104 micropatterns could approximately
fabricate 1.32 × 104 spheroids at a generation rate
of up to 91.80 ± 1.27% (Figure S5).
Furthermore, different scale chips can be fabricated by combining
the different specifications of PDMS seals with proper cell culture
well plates and dishes. When printing micropattern arrays in the well
plates, this high-throughput culture platform can be combined with
commercially available automated micro-/nanoinjection systems for
testing hundreds of drugs in a plate.[26]Micropattern arrays also have the advantage of achieving the
orderly
arrangement of spheroids, which brings convenience to observation
and analysis with the development of light microscopy. For traditional
2D imaging, it is difficult to allow a full appreciation of the complexity
of 3D structures.[32] Providentially, 3D
imaging such as confocal imaging, high content imaging, and multiphoton
microscopy brings the hope for automated high-throughput analysis.[32,33] For standard evaluation methods of drug efficacy, various typical
chemical reagents, including MTT, MTS, Prussian blue, WST-8, and CCK-8,
did not easily diffuse into 3D cellular aggregates.[2] DLM micropattern arrays system, used in combination with
confocal microscopy analyzing based on fluorescence intensity converted
to mean gray value, is highly advantageous for high-throughput system-based
drug screening. This process could achieve automation and eliminate
the need of chemical detection. Kim et al. developed a graphene oxide
micropattern platform to uniformly generate HepG2 spheroids, whose
drug efficacy could be assessed by simply monitoring decreases in
spheroid size.[2] This platform was highly
promising for rapid high-throughput drug screening. However, spheroid
sizes did not accurately reflect the drug efficacy. Note that not
all HepG2 spheroid sizes treated with drugs changed, such as paclitaxel
and disulfiram. Compared to pretreatment, HepG2 spheroids treated
with doxorubicin HCl had their sizes significantly decreased; however,
when treated with paclitaxel and disulfiram, the morphology of spheroids
did not change significantly (Figure S4). Through Live/Dead staining of HepG2 spheroids, there were significantly
increased dead cells in HepG2 spheroids (Figure ). Consequently, changes in spheroid sizes
had limitations in drug efficacy testing. Fluorescence quantitative
analysis could be promising to overcome the above problems.Microcontact printing appears to be the most critical determinant
of how well the micropattern arrays perform. For guaranteeing the
quality control of the micropattern arrays and compliance with the
Good Manufacturing Practices (GMP), some studies demonstrated that
with the use of specific microcontact printing devices, printing micropattern
arrays could be almost entirely automated.[34,35] The working principle of microcontact printing principally relies
on cell adhesion to the ECM proteins, which is indispensable for many
physiological activities.[13] Collagen and
fibronectin have been described as the bioink of micropattern printing
to study the interaction between cells and ECM proteins.[15,36] These single-component ECM proteins micropattern arrays were supposed
to help restore the lost ECM of isolation of islets from their native
microenvironment and mimic the pancreatic islet microenvironment.[18] Recent efforts have clarified that ECM proteins
micropattern arrays have become an effective tool for the fabrication
of transferable micropatterned cell sheets and obtainment of monoclonal
cells.[16,37] In this report, we described the use of
DLM as the bioink to create DLM micropattern array chips for the first
time, which restored the liver microenvironment. Compared with single-component
ECM molecules (collagen), which are created in the traditional micropattern
arrays, DLM contains a variety of biomacromolecules such as Col I,
Col IV, laminin, and fibronectin, which are predominant in the liver.[19,38] Meanwhile, compared with commercial Matrigel (a natural ECM), which
is purified from Engelbreth-Holm-Swarm mouse sarcoma, DLM maintains
liver-specific proteins, growth factors, and cytokines.[22] A previous study also reported that 24 kinds
of proteins exclusively identified in the DLM were absent in Col I
and Matrigel.[39] Herein, we validated that
the DLM coating matrix was more conducive to the survival, proliferation,
adhesion, and functions of HepG2 cells than Col I and Matrigel.Next, we demonstrated the effects of the shape and size of the
micropattern on the morphology, viability, and functions of spheroids.
Round and square microwells are widely used for the fabrication of
spheroids, and the effect of the shape of micropattern on the formation
of spheroids has hardly been explored thus far. Our data showed that
both round and square micropatterns could form 3D cellular aggregates.
However, the square micropattern was hard to accurately control the
morphology and size of cellular aggregates; the cellular aggregate
morphology was irregular and the diameter coefficient of variation
was up to 21%. This finding may be associated with the spontaneous
assembling of cellular aggregates. Previous studies revealed that
in the culture system of microwell, with a diameter lower than 200
μm, the HepG2 spheroids were less prone to viability effects
related to the size.[29] In contrast to these
studies, we demonstrated that when the diameter of HepG2 spheroids
was greater than 100 μm, there were more dead cells on the edge
and inside of the HepG2 cellular aggregates in our platform. It is
well known that cell necrosis usually occurs in the core of spheroids
because of the poor supply of the oxygen and nutrients transported
to spheroids through diffusion. In the culture system of the micropattern
array, the gap distance between spheroids will modulate the spheroid
properties.[19,40] Notably, when the diameter of
spheroids is indeed determined, the decreased distance between spheroids
induces hypoxic conditions.[19] Therefore,
with a determined gap distance between spheroids, the oxygen availability
may fail to meet the increased oxygen demand with increasing size
of spheroids.Herein, DLM micropattern array chips were successfully
fabricated,
followed by a quick fabrication of large-scale, size-controllable,
and arrangement-orderly HepG2 spheroids for high-throughput drug screening.
Nonetheless, this study was limited by several factors. It did not
focus on multitype cell culturing despite reports that stromal cells
and immune cells such as cancer-associated fibroblasts (CAF) and tumor-associated
macrophages (TAM) play important roles in the tumor microenvironment.[41,42] Cognizant of this, multitype cell cultures could be considered in
future studies to fully mimic the tumor microenvironment and enhance
the drug screening accuracy. Moreover, patient-derived cancer cells
might be cultured on this platform for personalized drug screening
and therapeutic strategies in the future.
Conclusions
In this study, DLM-derived micropattern array chips were developed
to fabricate large-scale, size-controllable, and arrangement-orderly
HepG2 spheroids within 3 days for drug screening. A circular micropattern
with a diameter of 100 μm was the optimal processing parameter
to fabricate HepG2 spheroids with homogeneous morphology, high cell
viability, and optimal hepatic functions. We demonstrated that this
novel platform could be used for drug-susceptibility testing with
great rapidity and convenience by fluorescence quantitative analysis.
This methodology may be possible to apply in advancing personalized
medicine and drug discovery.
Materials and Methods
All experimental protocols were approved by the Institutional Animal
Care and Use Committee (IACUC) and Animal Experiment Center of Sichuan
University. All animals were cared for in accordance with the requirements
of the Laboratory Animal Welfare Act and amendments thereof.
Decellularization of Porcine Liver
The hepatic portal
vein of the porcine liver was cannulated, and
blood was flushed out using heparin-phosphate buffer saline after
harvesting the liver from the pig. The liver was then frozen and thawed.
Triton X-100, sodium dodecyl sulfate (SDS), and PBS were perfused
through the liver to remove the miscellaneous cells. The specific
steps were as described previously.[43] The
decellularized liver scaffolds (DLSs) were then cut into cubes (1
× 1 × 1 cm3) for subsequent lyophilization.
Decellularization Assessment
DNA
Extraction and Quantification
DNA was extracted from 10 mg
of fresh and decellularized matrix samples
(dry weight) using DNA extraction kit (Tiangen Biotech Corporation,
Beijing, China). The samples were then quantified using a NanoDrop
spectrophotometer (ND-2000c, Thermo).
Histological
Analysis
Normal fresh
and decellularized liver tissues were fixed in 4% paraformaldehyde
at room temperature for 24 h. They were then dehydrated stepwise using
ethanol, immersed in xylene, and embedded in paraffin. The tissues
were then sectioned into 5 μm slides and stained with hematoxylin
and eosin (H&E) and 4′,6-diamidino-2-phenylindole (DAPI).
Fluorescence Microscopy
Fluorescence
microscopy was performed to determine whether collagen I, collagen
IV, laminin, and fibronectin were retained in the decellularized matrices.
The stained sections were permeabilized with 0.1% Triton X-100 for
15 min and then blocked with 2% bovine serum albumin PBS for 1 h.
They were subsequently treated with collagen I (cat. no. ab6308, 1:200,
Abcam), collagen IV (cat. no. ab6586, 1:500, Abcam), laminin (cat.
no. ab11575, 1:100, Abcam), and fibronectin (cat. no. ab6328, 1:200,
Abcam) overnight at 4 °C, followed by incubation with species-appropriate
secondary antibodies (Invitrogen, 1:500) and DAPI counterstaining.
Scanning Electron Microscopy (SEM)
Fresh
and decellularized matrix samples were fixed in 2.5% glutaraldehyde
at room temperature for 12 h, followed by rinsing in deionized water,
dehydration via a graded ethanol series, and drying in a critical
point dryer (HCP2; Hitachi, Tokyo, Japan). The samples were subsequently
sputter-coated with gold before SEM imaging. Electron micrographs
were obtained at 5.0 kV using a Hitachi S-4800 SEM (Hitachi).
Solubilization of DLSs
Lyophilized
DLSs were powdered using the Wiley Mill (Retsch, MM400, Germany) and
solubilized with 10% (w/w) pepsin (Sigma-Aldrich) in 0.01 M HCl through
stirring at room temperature for 48 h. The DLM solution was then neutralized
to a pH of 7.2–7.4 by adding 0.1 M NaOH.[44] Its final concentration was then adjusted to 10 mg/mL using
1× PBS.
Mass Spectrometry Analysis
for the Biochemical
Composition of DLM Solution
The proteins and peptides preserved
in the DLM solution were identified using mass spectrometry. Liquid
chromatography–tandem mass spectrometry (LC-MS/MS) analysis
was performed using an integrated system composed of nano-LC (EASY-nLC
1200, Thermo Fisher Scientific) and an MS/MS spectrometer (Orbitrap
Fusion Lumos Tribrid, Thermo Fisher Scientific). Solutions containing
pepsin-digested protein fragments were injected into the nano-LC-MS/MS
system and subsequently separated on a C18-StageTip column. The mass
spectra were acquired using the high collision dissociation (HCD)
method. The sus scrofa subset of the UniProt database (http://www.uniprot.org) extended
with the MaxQuant (Version1.6.2.6) common contaminants database was
used for the database search.
Cell
Culture
HepG2 cells were obtained
from the National Infrastructure of Cell Line Resources (Beijing,
China). They were maintained in MEM media (Gibco, China) and supplemented
with 10% FBS (Gibco, Australia), 1% NEAA (Gibco), and 1% penicillin–streptomycin
solution (HyClone, China) in a 5% CO2 incubator (Thermo)
at 37 °C.
DLM Coating and Assessment
Proteins
present in the DLM solution (10 mg/mL) were quantified using a NanoDrop
spectrophotometer. The solution was then diluted with PBS to a final
protein concentration of 0.1 mg/mL. Col I (BD Biosciences, Bedford,
MA) solution (0.1 mg/mL) and Matrigel (Corning) solution (0.1 mg/mL)
were used as the control coating substances. Polystyrene plates were
coated with the substances for 1 h at room temperature, followed by
three washes with PBS. The uncoated PS substrate served as a negative
control.[25] The cell adhesion percentage
after 4 h of seeding was evaluated using Countess II FL (Invitrogen)
counting of nonadhered cells. HepG2 cell proliferation was analyzed
using the Cell Counting Kit-8 assay (CCK-8, MCE, China). Their viability
on the coated substrates was examined using the FluoroQuench fluorescent
stain (One Lambda; Thermo Fisher Scientific, Inc., Waltham, MA) following
the manufacturer’s protocol. Cell viability was determined
by calculating the ratio of live cells to the total cell populations.
The functions of the different coating matrices were analyzed by seeding
HepG2 cells on coated 24-well culture plates at a rate of 2.5 ×
104 cells per well. The culture media were changed daily,
and the cells were retrieved on days 1, 3, 5, and 7 to determine their
ureagenesis and albumin synthesis capacity. Albumin levels and urea
concentration were determined using ELISA kits (ab179887; Abcom) and
the QuantiChrom urea assay kit (DIUR-500; Bioassay), respectively.
Micropattern Array Printing
Poly(dimethylsiloxane)
(PDMS) seals were obtained through laser etching of the characteristic
pattern on a silicon wafer. Round and square micropatterns with diameters
of 50, 75, 100, 150, 200, 300 μm and 50 μm spacing between
micropatterns were used as the templates. The seal surface was coated
with 0.1 mg/mL DLM solution and 2 μg of fluorescein isothiocyanate
isomer for 20 min at room temperature. Excess DLM solution was drained,
and the seals were dried at 37 °C for 10 min. The coated seals
were stacked with a 35 mm diameter nontreated cell culture dish at
a 0.2 N force for 10 min.[16] The shapes
of the microarray arrays were subsequently observed under a fluorescence
microscope (OBSERVER D1/AX10 cam HRC, CARL ZEISS, Germany). The treated
dishes were coated with 10 g/L pluronic F- 127 water solution (Sigma)
for 1 h to prevent nonspecific cellular adherence and then sterilized
through ultraviolet irradiation for 1 h.
3D Cellular
Aggregates Culture
HepG2
cells (2 × 105) were seeded on DLM-patterned dishes
containing 3 mL of MEM media to have an equal cell density on the
micropatterned dishes. The culture media was sucked out after 6 h,
and the dishes were washed thrice with PBS to remove the unattached
cells. The cellular aggregates’ morphology at 6 h and on days
1, 2, 3, 4, 5, and 6 after seeding was observed and imaged using EVOS
XL Core (Invitrogen), and their diameters were analyzed using the
ImageJ software (National Institutes of Health, Bethesda, MD). Their
viability was assessed through FluoroQuench fluorescent staining followed
by imaging using a confocal microscope (N-STORM & A1, Nikon, Japan).
Cellular aggregates grown on micropatterned dishes were fixed with
4% formaldehyde for 20 min at room temperature, stained with rhodamine
phalloidin solution (100 nM) (Cytoskeleton) for 45 min at room temperature,
and counterstained with DAPI. Fluorescent images were acquired with
a two-photon confocal microscope (A1RMP+, Nikon, Japan).
Quantitative Real-Time PCR (RT-PCR)
Total RNA was extracted
from the cellular aggregates using the TRIzol
reagent (category number 15596-026, Invitrogen) following the manufacturer’s
instructions. Complementary DNA (cDNA) was then synthesized from 1
μg of total RNA using the iScript cDNA Synthesis Kit (Bio-Rad).
Quantitative PCR reactions for hepatocyte genes alb, aat, ck18, cyp1a1, mrp2, and tat were performed using the SsoFast EvaGreen Supermix Kit (Bio-Rad)
following the manufacturer’s instructions. The glyceraldehydes-3-phosphate
dehydrogenase (GAPDH) housekeeping gene was used as an endogenous
internal control. The PCR reactions were performed in triplicate followed
by gene expression analysis and quantification using the Stratagene
analysis software and the 2–ΔΔCt method,
respectively.
Chemotherapeutic Drug
Cytotoxicity Screening
The HepG2 spheroids were incubated
with paclitaxel, doxorubicin
HCl, and disulfiram at different concentrations (5, 10, 50, and 100
μg/mL) for 24 and 48 h. Spheroids were incubated with 0.25%
DMSO as the negative control. The morphology of spheroids at 24 and
48 h was observed and imaged using EVOS XL Core. The viability of
spheroids was assessed using the FluoroQuench fluorescent staining
followed by imaging using a confocal microscope, and the fluorescence
intensity was measured as a mean gray value and analyzed by ImageJ
software for the quantification of the viability of spheroids. Cell
viability was also assessed after 24 and 48 h of treatment using a
CCK-8 to determine their survival rate.
Data
Analysis
All data were analyzed
using the SPSS statistical software (version 17.0) and presented as
mean ± SEM. The datasets were subjected to one-way analysis of
variance (ANOVA) for multiple comparisons. The Dunnett t-test was used to compare datasets between two groups. Correlations
were determined by Pearson correlation; p < 0.05
indicated significant differences between groups.
Authors: Henrik Renner; Martha Grabos; Katharina J Becker; Theresa E Kagermeier; Jie Wu; Mandy Otto; Stefan Peischard; Dagmar Zeuschner; Yaroslav TsyTsyura; Paul Disse; Jürgen Klingauf; Sebastian A Leidel; Guiscard Seebohm; Hans R Schöler; Jan M Bruder Journal: Elife Date: 2020-11-03 Impact factor: 8.140
Authors: Ville Härmä; Hannu-Pekka Schukov; Antti Happonen; Ilmari Ahonen; Johannes Virtanen; Harri Siitari; Malin Åkerfelt; Jyrki Lötjönen; Matthias Nees Journal: PLoS One Date: 2014-05-08 Impact factor: 3.240
Authors: A Ganguli; A Mostafa; C Saavedra; Y Kim; P Le; V Faramarzi; R W Feathers; J Berger; K P Ramos-Cruz; O Adeniba; G J Pagan Diaz; J Drnevich; C L Wright; A G Hernandez; W Lin; A M Smith; F Kosari; G Vasmatzis; P Z Anastasiadis; R Bashir Journal: Sci Adv Date: 2021-04-23 Impact factor: 14.136