Yizong Hu1,2,3, Yining Zhu1,2,3, Nolan D Sutherland4, David R Wilson1,2,3, Marion Pang1,3, Ester Liu3,5, Jacob R Staub3, Cynthia A Berlinicke6, Donald J Zack6, Jordan J Green1,2,3,5,6,7, Sashank K Reddy8, Hai-Quan Mao1,2,3,7. 1. Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States. 2. Translational Tissue Engineering Center, Johns Hopkins University School of Medicine Baltimore, Maryland 21205, United States. 3. Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland 21287, United States. 4. bluebird bio, Inc., Cambridge, Massachusetts 02142, United States. 5. Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21287, United States. 6. Department of Ophthalmology, Johns Hopkins University School of Medicine Baltimore, Maryland 21205, United States. 7. Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland 21287, United States. 8. Department of Plastic and Reconstructive Surgery, Johns Hopkins University School of Medicine Baltimore, Maryland 21205, United States.
Abstract
Polyelectrolyte complex particles assembled from plasmid DNA (pDNA) and poly(ethylenimine) (PEI) have been widely used to produce lentiviral vectors (LVVs) for gene therapy. The current batch-mode preparation for pDNA/PEI particles presents limited reproducibility in large-scale LVV manufacturing processes, leading to challenges in tightly controlling particle stability, transfection outcomes, and LVV production yield. Here we identified the size of pDNA/PEI particles as a key determinant for a high transfection efficiency with an optimal size of 400-500 nm, due to a cellular-uptake-related mechanism. We developed a kinetics-based approach to assemble size-controlled and shelf-stable particles using preassembled nanoparticles as building blocks and demonstrated production scalability on a scale of at least 100 mL. The preservation of colloidal stability and transfection efficiency was benchmarked against particles generated using an industry standard protocol. This particle manufacturing method effectively streamlines the viral manufacturing process and improves the production quality and consistency.
Polyelectrolyte complex particles assembled from plasmid DNA (pDNA) and poly(ethylenimine) (PEI) have been widely used to produce lentiviral vectors (LVVs) for gene therapy. The current batch-mode preparation for pDNA/PEI particles presents limited reproducibility in large-scale LVV manufacturing processes, leading to challenges in tightly controlling particle stability, transfection outcomes, and LVV production yield. Here we identified the size of pDNA/PEI particles as a key determinant for a high transfection efficiency with an optimal size of 400-500 nm, due to a cellular-uptake-related mechanism. We developed a kinetics-based approach to assemble size-controlled and shelf-stable particles using preassembled nanoparticles as building blocks and demonstrated production scalability on a scale of at least 100 mL. The preservation of colloidal stability and transfection efficiency was benchmarked against particles generated using an industry standard protocol. This particle manufacturing method effectively streamlines the viral manufacturing process and improves the production quality and consistency.
Gene therapy has become
an increasingly valuable modality for treating
congenital and acquired conditions and for prophylactic and treatment
vaccines. Many of these therapies include the use of vectorized viruses
based on lentivirus (LVVs)[1] and adeno-associated
virus (AAVs),[2] such as ABECMA approved
by the U.S. FDA for engineering CAR-T cells and ZYNTEGLO approved
by the E.U. EMA for modifying hematopoietic stem cells. One of the
most common methods to produce LVVs is transient transfection and
vector assembly in production cell lines such as HEK293 cells.[3] Benchmark transfection vehicles include calcium
phosphate,[4] lipofectamine,[5] and poly(ethylenimine) (PEI).[6] In a typical transfection procedure using PEI, solutions of pDNAs
and PEI are mixed to form a polyelectrolyte complex particle suspension
and incubated in a batch mode for a few minutes to 1 h, before being
added to the cell culture. The pDNA/PEI particles facilitate cellular
uptake,[7,8] endosomal escape,[9] nuclear transport,[10] and transgene expression
of pDNAs encoding LVV components. This widely adopted production method
of pDNA/PEI particles delivers high levels of transfection efficiency
and meets the critical criteria for LVV production. However, the batch-mode
mixing process, conducted immediately before transfection, lacks adequate
engineering control to ensure uniform assembly during the complexation
process and is prone to operator-dependent variability. The objective
of this study is to develop an engineering approach to produce shelf-stable
pDNA/PEI particles in a highly scalable and consistent fashion to
ensure high transfection efficiency with ease-of-use features. Such
a platform is essential to ensure the consistent yield and quality
of LVVs to deliver the intended therapeutic efficacy.[11]Despite the widespread use of pDNA/PEI nanoparticles
for transfecting
various types of cells, the relationship between particle size and
transfection efficiency has been poorly understood; particularly,
transfection activities for particles of sizes beyond 200 nm have
been scarcely reported.[12−15] Here we provide the first direct correlation of the
transfection efficiency of pDNA/PEI particles within a wide size range
of 60–1000 nm, reporting an optimal particle size of 400–500
nm in both adherent and suspension cultures.Existing methods
for the controlled assembly of pDNA/PEI nanoparticles
target a size range of 30–200 nm,[16,17] which are suboptimal for in vitro transfection
in LVV production cell lines. There has been no specific effort to
date for controlling particle size and uniformity in this range while
adequate particle stability is maintained. Conventional batch mixing
methods (e.g., pipet mixing or dropwise addition) offer limited control
of assembly kinetics, resulting in particles with poor uniformity
and a high degree of instability. Here we devised a scalable method
to produce pDNA/PEI particles at any size between 60 and 1000 nm by
a bottom-up assembly strategy through reversible tuning of the particle
surface charge. Using this particle series, we revealed that the rate-limiting
step in the intracellular delivery process is size-dependent cellular
uptake. We also demonstrated the superior shelf stability of the ready-to-use
particles with preservation of physical properties and transfection
efficiencies in bench-scale bioreactor LVV production systems.
Particle-Size-Dependent
Transfection Efficiency
In a typical transfection process
for LVV production, multiple
pDNAs encoding different viral components are used. In this study,
we used a 3-pDNA mixture with weight ratios of 10% (4.4 kb, noncoding),
45% (6.8 kb, gWiz-Luc luciferase reporter), and 45% (9.6 kb, noncoding)
in Opti-MEM medium to mimic an LVV plasmid cocktail. On a 200 μL
scale preparation, we used a 10 s vortex as the mixing method after
pipetting 100 μL of PEI solution into 100 μL of pDNA solution
(5, 10, or 20 μg/mL) at a nitrogen to phosphate (N/P) ratio
of 5.5, followed by incubation at room temperature for 10 s to 60
min before transfection tests in HEK293T cells (Figure a). When the pDNA dose remained constant,
i.e., 0.1 μg per 104 cells at 1 μg/mL, the
transfection efficiency showed a bell-shaped relationship with incubation
time, and the peak occurred at different incubation times for different
DNA concentrations in particle preparation (Figure b). We next monitored the particle size as
a function of incubation time upon mixing of pDNA and PEI solutions
by dynamic light scattering (DLS) and found that the size increased
in a highly predictable manner during incubation (Figure c). When the transfection efficiency
was plotted against the z-average particle size as
shown in in Figure d, a strong correlation emerged with a curve fitting all data points
collected under different pDNA concentrations and different incubation
times during particle preparation. This demonstrated the dominant
effect of pDNA/PEI particle size on transfection efficiency with an
optimal size of 400–500 nm for the highest transfection efficiency.
Figure 1
Size of
pDNA/PEI particles dictates their transfection efficiency
in LVV production cells. (a) Schematic of preparation of pDNA/PEI
particles and transfection process for production of LVVs. Each exclamation
mark indicates a critical process control parameter influencing transfection
outcomes. (b) Transfection efficiencies, characterized as transgene
expression levels of the luciferase reporter, in a monolayer culture
of HEK293T cells as a function of pDNA concentration at the mixing
step and incubation time (10 s to 60 min) before dosage. For the group
of mixing at a DNA concentration of 5, 10, or 20 μg/mL, the
particles were diluted 5, 10, or 20 times, respectively, to 1 μg/mL
to dose cells. (c) Growth in the average size (z-average
diameter given by dynamic light scattering, DLS) of pDNA/PEI particles
following mixing of pDNA and PEI solutions in Opti-MEM. The growth
kinetics is dependent on the concentration of pDNA. The error bars
were derived from three independent experiments, demonstrating reproducibility
and predictability under the experimental conditions used. (d) Direct
correlation between transfection efficiency and the z-average particle size based on data points from all experiments
from (b) and (c) with varying pDNA concentrations and incubation times.
Size of
pDNA/PEI particles dictates their transfection efficiency
in LVV production cells. (a) Schematic of preparation of pDNA/PEI
particles and transfection process for production of LVVs. Each exclamation
mark indicates a critical process control parameter influencing transfection
outcomes. (b) Transfection efficiencies, characterized as transgene
expression levels of the luciferase reporter, in a monolayer culture
of HEK293T cells as a function of pDNA concentration at the mixing
step and incubation time (10 s to 60 min) before dosage. For the group
of mixing at a DNA concentration of 5, 10, or 20 μg/mL, the
particles were diluted 5, 10, or 20 times, respectively, to 1 μg/mL
to dose cells. (c) Growth in the average size (z-average
diameter given by dynamic light scattering, DLS) of pDNA/PEI particles
following mixing of pDNA and PEI solutions in Opti-MEM. The growth
kinetics is dependent on the concentration of pDNA. The error bars
were derived from three independent experiments, demonstrating reproducibility
and predictability under the experimental conditions used. (d) Direct
correlation between transfection efficiency and the z-average particle size based on data points from all experiments
from (b) and (c) with varying pDNA concentrations and incubation times.
Production of Sub-Micrometer pDNA/PEI Particles
with Controlled
Size
The above finding motivated us to develop a method for
producing
shelf-stable pDNA/PEI particles with a controlled size of 400–500
nm. Discrete size control for pDNA/PEI particles was achieved in the
sub-100 nm range using the flash nanocomplexation (FNC) technique,[16,17] but controlling the size in the sub-micrometer range has been particularly
challenging. Previous work from our laboratory[17] and the Kataoka group[18] demonstrated
that one pDNA/polycation nanoparticle that consists of a single pDNA
molecule is only 20–50 nm in size, indicating that a 400–500
nm particle will need nearly thousands of copies of pDNA to be constructed
(Figure S1). During the particle assembly
process, negatively charged pDNA collapses into a condensed state
upon charge neutralization with positively charged PEI.[19] The assembly kinetics is extremely fast with
a time scale of tens of milliseconds,[17] whereas the diffusion rates of pDNA and the complexes are substantially
slower.[20] It may only be possible to generate
a 400–500 nm size in a single complexation step using a DNA
concentration much higher than 5 mg/mL by our estimation,[17] which would be difficult to handle or scale
up due to high solution viscosity.To address this challenge,
we developed a bottom-up assembly strategy
based on the surface charge tunability and controllable assembly kinetics
of pDNA/PEI particles (Figure a). First, we prepared uniform small nanoparticles under low-salt
(conductivity ∼0.4 mS/cm) and low-pH (∼3) conditions.
Over 80% of the secondary nitrogen groups in PEI are protonated (i.e.,
positively charged) at pH 3, rendering a high surface density of positive
charge,[21] such that the individual nanoparticles
are sufficiently stable against aggregation. When the pH is switched
to 7, the nanoparticle surface becomes sufficiently deprotonated.
Together with the shortening of the Debye length associated with the
residual surface charges by salt-induced charge screening, the medium
condition change triggers particle association and size growth. It
is important to note that the ionic strength needs to be controlled
at a level that does not induce dissociation of the pDNA/PEI complexes.[22] The particle size growth is primarily driven
by van der Waals interactions, with the rate being controlled by particle
concentration and ionic strength of the medium. It can be effectively
quenched by reversing the pH to 3 to reprotonate the particle surfaces
and by dilution to reduce the ionic strength, thus re-establishing
the long-range Debye screening effect.
Figure 2
Process for production
of size-controlled pDNA/PEI particles in
the range of 60–1000 nm through controlling the assembly kinetics
and surface charge. (a) Schematic of the stepwise kinetic growth and
quenching. (b) Predicable size growth induced under different concentrations
of PBS. (c) The particle size growth was arrested by dilution with
20 mM HCl in 19% (w/w) trehalose solution at different time points
along the growth curve in 1× PBS. (d) The z-average
diameter distributions measured by DLS of a series of stabilized particles
with distinct sizes. (e) The ζ potential, and bound PEI content
(measured by N/P ratio) changed along with the growth and stabilization
steps. The particles in the sham control were treated with premixed
1× PBS and 20 mM HCl solutions, and the size stayed unchanged
(66 nm) after the treatment. (f) TEM images of the particles obtained
under the conditions of (1) original 66 nm nanoparticles as the building
blocks, (2) stabilized particles with an average size of 120 nm, (3,
4) stabilized particles with an average size of 180 nm, (5, 6) stabilized
400 nm particles with an enlarged view of one of the particles, and
(7) another enlarged 400 nm particle with less salt precipitation
(white speckles) in the negatively stained region. (g) Effect of HCl
concentration used in the quenching step on size stability, DNA protection,
and transfection efficiency of the 400 nm particles. Note that the
percentage axis is inverted to spread data points, showing that a
high HCl concentration resulted in size shrinkage and loss of pDNA.
In (b) and (c) the error bars were derived from three independent
experiments, demonstrating the predictability and reproducibility
of the process. In (g) the error bars were derived from three replicates
within a single experiment.
Process for production
of size-controlled pDNA/PEI particles in
the range of 60–1000 nm through controlling the assembly kinetics
and surface charge. (a) Schematic of the stepwise kinetic growth and
quenching. (b) Predicable size growth induced under different concentrations
of PBS. (c) The particle size growth was arrested by dilution with
20 mM HCl in 19% (w/w) trehalose solution at different time points
along the growth curve in 1× PBS. (d) The z-average
diameter distributions measured by DLS of a series of stabilized particles
with distinct sizes. (e) The ζ potential, and bound PEI content
(measured by N/P ratio) changed along with the growth and stabilization
steps. The particles in the sham control were treated with premixed
1× PBS and 20 mM HCl solutions, and the size stayed unchanged
(66 nm) after the treatment. (f) TEM images of the particles obtained
under the conditions of (1) original 66 nm nanoparticles as the building
blocks, (2) stabilized particles with an average size of 120 nm, (3,
4) stabilized particles with an average size of 180 nm, (5, 6) stabilized
400 nm particles with an enlarged view of one of the particles, and
(7) another enlarged 400 nm particle with less salt precipitation
(white speckles) in the negatively stained region. (g) Effect of HCl
concentration used in the quenching step on size stability, DNA protection,
and transfection efficiency of the 400 nm particles. Note that the
percentage axis is inverted to spread data points, showing that a
high HCl concentration resulted in size shrinkage and loss of pDNA.
In (b) and (c) the error bars were derived from three independent
experiments, demonstrating the predictability and reproducibility
of the process. In (g) the error bars were derived from three replicates
within a single experiment.The building block pDNA/PEI nanoparticles were prepared using the
FNC technique[16,17] in a confined impinging jet (CIJ)
mixer.[23,24] With an input pDNA concentration of 100
μg/mL, the nanoparticles had an average size of 66.0 ±
1.0 nm as measured by DLS (Figure b and Figure S2a). The nanoparticle
suspension was challenged by mixing it with an equal volume of PBS,
which initiated size growth with a rate dependent on the PBS concentration
(Figure b). The buffering
component of PBS was important to confer the pH change and maintain
particle uniformity, while the salt components determined the growth
kinetics (Figure S3). Assembling with 1×
PBS and quenching the growth by mixing the particle suspension with
an equal volume of 20 mM HCl in 19% w/w trehalose (a cryoprotectant)
at different time points along its growth curve successfully stabilized
the average particle sizes at 200, 300, 400, 500, 700, and 900 nm
(Figure c) with a
high degree of uniformity (Figure d; polydispersity index values are reported in Figure S3b). All particles with average sizes
of less than 500 nm were stable at ambient temperature for at least
4 h in the final solution (Figure c).The proposed size control mechanism was verified
by ζ-potential
measurements through phase analysis light scattering (PALS) and PEI
composition assessment[25] of the growing
and stabilized particles (Figure e). Upon challenge by 1× PBS, the ζ potential
dropped from +37 to +20 mV, which was sufficient to overcome the potential
energy barrier at the appropriate ionic strength in the medium. The
potential recovered after the addition of a stabilization medium.
Transmission electron microscopy (TEM) analysis confirmed DLS measurements
showing the nature of association of small individual nanoparticles
(Figures f-2, and S2). The stabilized 400 nm particles appeared
as uniform agglomerate constructs (Figures f-, 6, 7, and Figure S2). The HCl concentration used for the growth arrest is close
to that required to fully protonate the buffering salts added during
the growth phase. Lower or higher concentrations resulted in ineffective
stabilization or particle shrinkage and DNA degradation, respectively
(Figure g).Transfection
efficiencies of stabilized particles with controlled
sizes ranging from 60 to 1000 nm. (a) Efficiency of transgene expression
of luciferase as a reporter. (b, c) The efficiency of transgene expression
of GFP is shown in (b) for the percentage of GFP-positive cells and
(c) for the mean fluorescent intensity in the population of GFP-positive
cells. For a monolayer culture of HEK293T cells, the cells were harvested
and lysed at 24 h post-transfection, and the error bars present the
standard deviation from four replicates in a single experiment; for
the suspension culture of HEK293F cells, the cells were harvested
and lysed at 48 h post-transfection, and the error bars present the
standard deviation of three or four independent experiments (each
was conducted in a single well of a 12-well plate).Quantitative Cellomics high-content analysis (HCA) of cellular
uptake and endosomal escape by particles with different sizes. (a)
The image analysis modality to analyze fixed cells directly in the
tissue culture plates. Representative images are shown in (b) at 2
h and (c) at 4 h after incubation with particles of different sizes.
Quantitative results are presented in terms of (d) particle spot characteristics
(area and intensity), directly suggesting successful size control
during particle–cell interactions. (e) Gal8 spot characteristics
(area and intensity) indicating the formation of larger endosomal
vesicles by larger particles. (f) Frequency of detected particles
and Gal8 spots in cells at 2 h. (g) Average total particle intensity
per cell at all time points as a representative measure of total particle
uptake quantity. (h) Average number of Gal8 spots per cell at all
time points as an indication of endosomal escape level, serving as
a predictive index for transfection efficiency according to previous
reports using this assay. (i) Quantitative measure of overall endosomal
escape degree, i.e., average total Gal8 spot intensity per cell, due
to different Gal8 spot characteristics observed for different particle
sizes. (j) Transfection efficiencies (luciferase reporter expression
level) as a result of incubation with particles at different sizes
for different periods of time, which correlated well with the trends
of total cellular uptake and endosomal escape levels. (k) Regardless
of the particle size, fitting the overall endosomal escape level (Y axis) of all plate well-averaged data points against the
overall cellular uptake level (X axis) shows a strong
positive correlation at 2–4 h postdosage. In the figure, n = 21 wells for the fitted line of 1 h and n = 42 wells for the fitted line of 2 and 4 h. (l) Fitting the endosomal
escape level in a single cell (Y axis) of all cells
assessed in the same well of the group of 200 nm (n = 5400 cells), 400 nm (n = 4693 cells), and 900
nm (n = 4336 cells), against the cellular uptake
level in the same single cell (X axis), shows a strong
positive correlation. The figure was generated by overlapping the
FlowJo-generated pseudocolor heat maps showing the cell distribution
density with an arbitrary correlation curve plotted. In (a–c),
all figures share the same scale bar of 50 μm.Scale-up production of pDNA/PEI particles with controlled sizes
and validation of transfection efficiency for LVV production in bioreactors.
(a) Tunable particle size growth kinetics as a function of ionic strength
of the particle growth medium (i.e., PBS concentration, 0.3×,
0.4×, 0.45×, and 0.5× of the full ionic strength).
(b) Schematic of the scale-up production process enabled by conducting
the mixing steps in CIJ mixers at a flow rate of higher than 40 mL/min.
(c) Stability of the 400 nm particles at ambient temperature. (d)
Stability of the 400 nm particles at different time points during
storage at −80 °C. Particle suspension samples were thawed
at ambient temperature before testing. (e, f) Effect of pDNA/PEI particle
size on the infectious titers (e) and P:I ratios (f) of the LVVs produced
in the 15 mL small bioreactors (ambr 15). A 1× dosage level represents
1 μg of pDNA/mL in the suspension cultures. The data power of
each size group differed in the experimental design and is fully indicated
by the individual data points shown in the figures. (g, h) The infectious
titers (g) and P:I ratios (h) of LVVs produced in a 2 L bioreactor
using the 400 nm pDNA/PEI particles, at a dosage level of 1 μg
of pDNA/mL. n = 1 bioreactor for each condition.
In (e–h), the control level represents the optimal results
from the standardized in-house procedures to prepare pDNA/PEI particles
manually immediately before the transfection experiments.
Transfection Efficiencies of Size-Controlled pDNA/PEI Particles
The concentration of stabilized particles containing luciferase
or GFP reporter pDNAs was diluted to 1 μg of pDNA/mL to effectively
limit further size growth under the transfection conditions in the
physiological medium (Figure S4). The luciferase
activity analysis verified the optimal size of 400 nm in a monolayer
culture, as observed in Figure d, and indicated an optimal size of 500 nm in a suspension
culture (Figure a).
The GFP expression analysis revealed a substantial efficiency jump
for particle sizes between 200 and 300 nm in the monolayer culture
and between 300 and 400 nm in the suspension culture (Figure b,c). The trends in luciferase
and GFP expression levels agreed well for particles with average sizes
from 60 to 500 nm, but differed for particles over 500 nm, presumably
due to different expression kinetics, transgene product stability,
and assessment methods of the two reporters. Clearly, particles smaller
than 200 nm were far less effective in transfection even though they
may eventually grow in the transfection medium to a larger size within
4 h (Figure S4). This trend was also consistently
observed in the suspension culture, even though the particles were
not removed from the culture during the entire transfection period
of 48 h. These results demonstrated the importance of controlling
the particle size before dosing to the cells.
Figure 3
Transfection
efficiencies of stabilized particles with controlled
sizes ranging from 60 to 1000 nm. (a) Efficiency of transgene expression
of luciferase as a reporter. (b, c) The efficiency of transgene expression
of GFP is shown in (b) for the percentage of GFP-positive cells and
(c) for the mean fluorescent intensity in the population of GFP-positive
cells. For a monolayer culture of HEK293T cells, the cells were harvested
and lysed at 24 h post-transfection, and the error bars present the
standard deviation from four replicates in a single experiment; for
the suspension culture of HEK293F cells, the cells were harvested
and lysed at 48 h post-transfection, and the error bars present the
standard deviation of three or four independent experiments (each
was conducted in a single well of a 12-well plate).
Intracellular Trafficking
of pDNA/PEI Particles
To assess cellular uptake[7,8,26,27] and endosomal escape,[9] which are two
major intracellular transport barriers
for cell transfection,[28] we labeled pDNAs
with Cy5 dye[29] and used a genetically modified
B16F10 cell line that expresses galectin-8 (Gal8) fused with GFP as
the assessment tools. The Gal8 protein that distributed throughout
the cytosol binds to the cell membrane glycans exposed upon damage
of endosomal vesicles, which subsequently aggregate and form GFP spots
(Figure a).[30] In this study, the Cy5 and GFP-Gal8 spots were
quantitatively analyzed by Cellomics high-content analysis (HCA) on
fixed cells after treatment with particles for 1, 2, 4, or 8 h (Figures S7 and S9). The analysis showed a clear
increasing trend in the average particle spot area and intensity as
the particle size increased (Figure b–d and Figures S5 and S6). Larger particles induced Gal8 spots with higher average area and
intensity (Figure e), indicating a higher degree of endosomal membrane disruption and
formation of larger endocytic vesicles prior to escape events. The
drop in particle spot number per cell as the particle size increased
reflected a decreasing particle number concentration because of an
increasing pDNA payload per particle (Figure f). Nonetheless, the fewer larger particles
yielded much higher efficiency in endosomal escape, presented as a
higher percentage of Gal8 spot-positive cells (Figure f). There was a sharp increase in the total
uptake amount measured by average total particle intensity per cell
and by the amount of intracellular pDNA per cell (Figure S8) at all time points as the average particle size
increased from 60 to 500 nm, though a gradual increase was observed
as the average particle size increased further to 900 nm (Figure g). In addition to
reporting the overall endosomal escape indicator of average Gal8 spot
number per cell[31,32] (Figure h), the average total Gal8 spot intensity
per cell gave a better assessment of the overall endosomal escape
level (Figure i),
considering the differences observed in Gal8 spot area and intensity
(Figure e). In addition,
the kinetics of uptake and endosomal escape matched the kinetics of
luciferase expression following particle incubation with different
durations (Figure j). The reasons for a drop in transfection efficiency mediated by
particles with an average size larger than 400 nm (HEK293T) or 500
nm (HEK293F), even though they showed higher degrees of particle uptake
and endosomal escape, remain to be elucidated in future studies, although
it was not due to a change in cellular metabolism activities (Figure S10).
Figure 4
Quantitative Cellomics high-content analysis (HCA) of cellular
uptake and endosomal escape by particles with different sizes. (a)
The image analysis modality to analyze fixed cells directly in the
tissue culture plates. Representative images are shown in (b) at 2
h and (c) at 4 h after incubation with particles of different sizes.
Quantitative results are presented in terms of (d) particle spot characteristics
(area and intensity), directly suggesting successful size control
during particle–cell interactions. (e) Gal8 spot characteristics
(area and intensity) indicating the formation of larger endosomal
vesicles by larger particles. (f) Frequency of detected particles
and Gal8 spots in cells at 2 h. (g) Average total particle intensity
per cell at all time points as a representative measure of total particle
uptake quantity. (h) Average number of Gal8 spots per cell at all
time points as an indication of endosomal escape level, serving as
a predictive index for transfection efficiency according to previous
reports using this assay. (i) Quantitative measure of overall endosomal
escape degree, i.e., average total Gal8 spot intensity per cell, due
to different Gal8 spot characteristics observed for different particle
sizes. (j) Transfection efficiencies (luciferase reporter expression
level) as a result of incubation with particles at different sizes
for different periods of time, which correlated well with the trends
of total cellular uptake and endosomal escape levels. (k) Regardless
of the particle size, fitting the overall endosomal escape level (Y axis) of all plate well-averaged data points against the
overall cellular uptake level (X axis) shows a strong
positive correlation at 2–4 h postdosage. In the figure, n = 21 wells for the fitted line of 1 h and n = 42 wells for the fitted line of 2 and 4 h. (l) Fitting the endosomal
escape level in a single cell (Y axis) of all cells
assessed in the same well of the group of 200 nm (n = 5400 cells), 400 nm (n = 4693 cells), and 900
nm (n = 4336 cells), against the cellular uptake
level in the same single cell (X axis), shows a strong
positive correlation. The figure was generated by overlapping the
FlowJo-generated pseudocolor heat maps showing the cell distribution
density with an arbitrary correlation curve plotted. In (a–c),
all figures share the same scale bar of 50 μm.
The relationship between cellular
uptake and endosomal escape was
further evaluated on the basis of a plate-well-average (Figure k) or single-cell-level (Figure l) analysis. Most
endosomal escape events of the particles took place after 1 h of incubation.
A linear regression correlated all data points of the plate-well-average
readings at 2 and 4 h postdosing, regardless of the particle size
(Figure k). There
was a positive correlation that lines all the areas with the highest
cell density on the heat maps across different particle sizes on the
single-cell level (Figure l and Figure S11). These analyses
demonstrated that the endosomal escape degree scaled with the cellular
uptake level and that the size-dependent transfection efficiency was
strongly influenced by cellular uptake. Results from the HEK293F cell
suspension culture presented a similar trend of cellular uptake (Figure S12), which also similarly correlated
with the transfection efficiency (Figure ).
Scalable Production of Sub-Micrometer Particles
for LVV Production
The particle assembly process could be
scaled up by implementing
the two mixing steps (particle growth and stabilization) with relatively
high flow rates (e.g., 40 mL/min) in CIJ devices. The pDNA concentration
was doubled to reduce the volume handled (Figure S13). The ionic strength of the medium for the particle growth
step was optimized to control the particle growth duration between
1 and 3 h (Figure a). As streamlined in Figure b, given the extended particle growth time, the time required
to collect growing particles out of the CIJ mixer #2 and to load solutions
into the CIJ mixer #3 was rendered insignificant. This whole process
was easier to implement and more reproducible. The lowered ionic strength
of the assembly buffer and consequently the lower amount of acid required
to revert the pH for the stabilization step provided additional benefits
to maintaining the colloidal stability of the particles and preservation
of transfection efficiency in storage. The particles were stable in
the suspension at ambient temperature for 2 days (Figure c) and ofr at least 4 months
when they were stored at −80 °C (Figure d).
Figure 5
Scale-up production of pDNA/PEI particles with controlled sizes
and validation of transfection efficiency for LVV production in bioreactors.
(a) Tunable particle size growth kinetics as a function of ionic strength
of the particle growth medium (i.e., PBS concentration, 0.3×,
0.4×, 0.45×, and 0.5× of the full ionic strength).
(b) Schematic of the scale-up production process enabled by conducting
the mixing steps in CIJ mixers at a flow rate of higher than 40 mL/min.
(c) Stability of the 400 nm particles at ambient temperature. (d)
Stability of the 400 nm particles at different time points during
storage at −80 °C. Particle suspension samples were thawed
at ambient temperature before testing. (e, f) Effect of pDNA/PEI particle
size on the infectious titers (e) and P:I ratios (f) of the LVVs produced
in the 15 mL small bioreactors (ambr 15). A 1× dosage level represents
1 μg of pDNA/mL in the suspension cultures. The data power of
each size group differed in the experimental design and is fully indicated
by the individual data points shown in the figures. (g, h) The infectious
titers (g) and P:I ratios (h) of LVVs produced in a 2 L bioreactor
using the 400 nm pDNA/PEI particles, at a dosage level of 1 μg
of pDNA/mL. n = 1 bioreactor for each condition.
In (e–h), the control level represents the optimal results
from the standardized in-house procedures to prepare pDNA/PEI particles
manually immediately before the transfection experiments.
Using this protocol, we prepared
100, 200, 300, 400, and 500 nm
particles at a final concentration of 50 μg of pDNA/mL in a
20 mL batch size (Table S1). The samples
were frozen to −80 °C and shipped on dry ice to bluebird
bio, Inc., to test for LVV production in stirred-tank bioreactors
(STR). The initial evaluation was conducted in an in-house-developed
screening model on the ambr 15 system at a 15 mL scale. The thawed
particle suspensions were dosed into the vessels using a liquid handler.
LVV titers obtained from the culture supernatants increased with particle
size from 100 to 400 nm and then slightly decreased for the 500 nm
particles, which was consistent with the reporter transfection results
(Figure e). The 400
nm particles, whether used at 30 min or 2 h after thawing, produced
titers (78%) comparable to those of an internal control that represents
the highest level achieved by the freshly prepared particles using
the standard method (Figure a). The high stability at ambient temperature for 2 h after
thawing and nearly 70% increase in LVV titer at a 2× DNA dose
were features unattainable with particles prepared using the standard
method (Figure e).
In addition, the comparable titers by the 400 nm particles were achieved
by producing a fewer number of LVVs, indicated by a lower particle
to infectivity (P:I) ratio (i.e., higher infectivity) in comparison
to the standard control (Figure f).We next increased the production scale of
the 400 nm particles
(50 μg of pDNA/mL) from 20 mL to 70 and 100 mL (Table S2) and tested the particles in a 2 L benchtop
single-use STR system. The thawed particles were added to the culture
using a peristaltic pump with a 0.5 or 2 h stand after thawing. The
infectious titers of the purified LVV preparations from these stabilized
400 nm particles were superior (128% and 187%, n =
1 bioreactor for each) to the highest level achieved by the standard
protocol (Figure g),
and a lower P:I ratio was also verified at this production scale (Figure h). These results
suggest that the 400 nm particles might have improved the coexpression
of multiple plasmids essential for LVV production and assembly.
Conclusions
This study revealed the key insight that the transfection efficiency
in LVV production cell lines critically depends on the size of pDNA/PEI
particles and identified 400–500 nm as the optimal size range.
A stepwise process was designed on the basis of surface charge inversion
and conditioning of ionic strength, and pDNA/PEI particles with an
average size of 200–1000 nm were prepared with a high degree
of size control. The prepared particles exhibited excellent stability
in suspension at ambient temperature for transfection operations and
at −80 °C for long-term storage. A manufacturing process
was developed on the basis of the FNC process with a tailored assembly
kinetics to accommodate the mixing procedure. This process was fully
characterized at a scale up to 100 mL, although further scale-up is
intrinsically straightforward due to its continuous flow setup. The
optimal transfection activity and stability of the 400 nm pDNA/PEI
particle formulation were validated in the production of LVVs using
premanufactured, cryostored, transported, and thawed particles, showing
performance matching that of the particles produced using the industry
standard in a bioreactor setting. This new scalable manufacturing
method has high translational potential that can be easily extended
to the production of a wide range of gene therapy vectors with improved
productivity and quality control.
Authors: Yizong Hu; Zhiyu He; Yue Hao; Like Gong; Marion Pang; Gregory P Howard; Hye-Hyun Ahn; Mary Brummet; Kuntao Chen; Heng-Wen Liu; Xiyu Ke; Jinchang Zhu; Caleb F Anderson; Honggang Cui; Christopher G Ullman; Christine A Carrington; Martin G Pomper; Jung-Hee Seo; Rajat Mittal; Il Minn; Hai-Quan Mao Journal: ACS Nano Date: 2019-09-10 Impact factor: 15.881
Authors: Yuan Rui; David R Wilson; John Choi; Mahita Varanasi; Katie Sanders; Johan Karlsson; Michael Lim; Jordan J Green Journal: Sci Adv Date: 2019-12-06 Impact factor: 14.957
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