Introduction
Genome editing has revolutionized our ability to study and cure genetic disorders (Gaj et al.,
2013). In particular, genome editing in induced pluripotent stem (iPS) cells allows the
development of human cell-based isogenic disease models and potential cell therapies
(Hockemeyer and Jaenisch, 2016). Clustered regularly interspaced short palindromic
repeats (CRISPR)-associated protein 9 (Cas9), which relies on its ability to cleave genomic
DNA with target sequences, is the most widely used genome editing tool (Jinek et al., 2012).
The double-strand breaks at target sites induced by CRISPR-Cas9 mainly evoke two DNA
repair pathways. One is non-homologous end-joining (NHEJ), which joins two broken ends
of DNA with diverse insertions and deletions (indels) at the joined sites. The other is
homology-directed repair (HDR), which repairs broken DNA by recombination between
genomic DNA and template DNA with sequence homology (Gaj et al., 2016). Therefore, we
can achieve precise genetic manipulation via HDR by providing cells with donor DNA with
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the intended sequences. In general, NHEJ is much more frequent than HDR, and both HDR
and NHEJ can be concurrently induced in the same cell. As a result, even when we attempt
to induce specific genetic manipulations via HDR in iPS cells, the resulting clones have
diverse genotypes. Therefore, it is important to understand the diverse allelic combinations
and frequencies of genome editing in iPSCs.
Despite the importance of monitoring genome editing outcomes in individual cells, most
assays analyze genome editing results in cell populations, but not in single cells, for
example, the T7E1 assay and pooled amplicon sequencing (Germini et al., 2018). As a new
approach, we previously isolated more than 2,600 clones of genome-edited human cultured
cells (HEK293T, HeLa, and PC9 cells) using an automated single-cell dispensing system
(Takahashi and Miyaoka, 2023). By analyzing the genotypes of these isolated clones, we
found a strong binary tendency of genome editing induced by CRISPR-Cas9; that is,
individual cells are often either not edited at all or all target alleles are fully edited (Takahashi
et al., 2022).
However, owing to the high mortality, we could not apply the same single-cell dispensing
system to human iPS cells as human cultured cell lines. Efficient methods to isolate human
iPS cell clones are in high demand, not only for the analysis of genome editing results, but
also for the isolation of iPS cell lines with desired genetic manipulations. Recent studies
have reported promising additives to avoid cell death in iPS cells, but they are not yet
conclusive (Chen et al., 2021). Therefore, in this study, we developed a method that utilizes
a cell-handling robot to efficiently isolate a large number of clones from genome-edited iPS
cell pools. Using this method, we obtained more than 1,000 genome-edited iPS cell clones
and analyzed their genotypes. We found that the same genetic manipulations (HDR and
various indels) were homozygously induced in human iPS cells. Our new approach to
efficiently isolate human iPS cell clones and profiles of genome editing outcomes in human
iPS cells will greatly contribute to regenerative medicine.
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Results
Development of an efficient robotic isolation method for genome-edited iPS cell
clones grown in Matrigel domes
First, we developed a method to isolate clones from genome-edited iPS cells using a
cell-handling robot, CELL HANDLER (Yamaha Motor) (Figure 1A). In this method, iPS cells
were transfected with a plasmid (px459-HypaCas9) to express HypaCas9 and
single-stranded donor DNA to induce a pathogenic point mutation (ATP7B R778L, GRN
R493X, or RBM20 R636S) (Kato-Inui et al., 2018). The puromycin-resistant gene was
co-expressed with HypaCas9 via the T2A peptide so that the transfected cells were selected
using puromycin and then dispersed into single cells. We formed domes composed of
Matrigel and allowed these single iPS cells to grow to maximize the number of single cells
growing in a well of a 6-well plate (Figure 1B and 1C). Placing cells in a 3-dimensional
structure also made the robotic cell-picking process less damaging and more efficient than
with 2-dimensional cultures. Culturing these single cells for approximately 1 week resulted in
the formation of cell clumps with a diameter of 100
– 150 μ m, which were suitable for being
picked by CELL HANDLER (Figure 1D). CELL HANDLER captured multiple images with an
automatic focus to scan for cell clumps throughout the Matrigel domes. Specialized software
processed these images to recognize and distinguish cell clumps by major diameter,
circularity, and neighbor distance (Table S1). We measured these criteria for typical cell
clumps derived from single cells (Figure 1D). Cell clumps that met these criteria were
selected and transferred into a new 96-well plate for expansion in canonical
two-dimensional culture. After 2-4 weeks, we isolated genome-edited iPS cell clones that
maintained the expression of pluripotency marker genes (Figure S1A). The overall cloning
efficiency was approximately 60.1% (1372 clones out of 2255 wells in 36 96-well plates)
using CELL HANDLER (Table 1 and Figure S1B).
Assessment of clonality of iPS cells isolated by robotic picking
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To assess the clonality of the isolated iPS cells by robotic picking, we established iPS cell
lines expressing EGFP, mCherry, or EBFP. We then mixed these three cell lines and
performed robotic picking (Figure S1C). We repeated this cloning process twice and isolated
28 and 43 clones. We confirmed that none of the clones contained 2 or more colors (Table
S2). We then analyzed the number of alleles in isolated iPS cells after editing RBM20, GRN,
and ATP7B. We investigated the genome editing outcomes by amplicon sequencing as
previously reported (Takahashi et al., 2022), and classified the resulting alleles into 4 types:
wild-type (WT), NHEJ, HDR, and NHEJ+HDR, using CRISPResso2 (Clement et al., 2019).
This allelic classification revealed that 96.3% of the isolated clones had 1 or 2 allelic types
on average at the 3 target sites (Figure 1E). These results suggest that the majority of the
isolated clones were derived from single cells. In contrast, 3.7% of clones harbored three or
more allelic types, and these clones were excluded from subsequent analyses.
Homozygous NHEJ is the most common genotype in genome-edited iPS cells
Because iPS cells are diploid, there are 10 different genotypes: WT/WT, WT/NHEJ,
WT/HDR, WT/NHEJ+HDR, NHEJ/NHEJ, NHEJ/HDR, NHEJ/NHEJ+HDR, HDR/HDR,
HDR/NHEJ+HDR, and NHEJ+HDR/NHEJ+HDR. We classified the genotypes of isolated
iPS clones and found that NHEJ/NHEJ, WT/WT, and WT/NHEJ were the most common,
second, and third most common genotypes, respectively, in all 3 target genes (Figure 2A).
We previously reported that genome editing in cultured cells, such as HEK293T,
occurred in a binary manner; that is, all targeted sequences were either edited or not edited
(Takahashi et al., 2022). Therefore, we examined whether the genome editing of iPS cells
also occurred in a binary manner. For this purpose, we investigated the proportion of WT/WT,
WT/NHEJ, and NHEJ/NHEJ clones. We created diagrams to visualize the genotypes of the
isolated clones (Figure 2B, S2A, and S2B). We also generated model diagrams to represent
genotypes of the same number of clones if all allele types were randomly distributed, as
described previously (Takahashi et al., 2022). We obtained the overall frequencies of the WT,
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NHEJ, HDR, and NHEJ+HDR alleles from the genotypes of the isolated clones (Figure 2C,
S2C, and S2D). These overall allelic frequencies were nearly identical to those of the pooled
populations of genome-edited iPS cells before clone isolation, suggesting that our robotic
clone-picking method does not cause any bias in the genotypes of the isolated cells (Figure
2A and S3). We uniformly and randomly redistributed these alleles in the same number of
clones as the isolated ones, which served as models for comparison (Figure 2D, S4A, S4B,
and S4C). Relative to these models, we generally observed more isolated WT/WT and
NHEJ/NHEJ clones, although the differences were not statistically significant for RBM20
and ATP7B (Figure 2E). The proportion of WT/NHEJ clones was significantly lower in the
isolated clones than in the model for all three edited genes, indicating that genome editing in
human iPS cells was also binary (Figure 2F).
Frequent homozygous induction of identical indels by NHEJ in iPS cells
So far in our study, we have classified all different indels into a single category: “NHEJ”.
Although NHEJ induced diverse indels, there were several specific indels with notable
frequencies. Therefore, we re-genotyped the isolated genome-edited iPS clones by
distinguishing the frequent indels in each gene.
We re-analyzed the amplicon sequencing data, identified the top eight most
frequent indel alleles, and classified 12 alleles in the isolated iPS clones genome-edited in
RBM20, GRN, and ATP7B, which represented approximately 70% of the overall allelic
frequency (Figure 3A, 3B, S5A-B, S6B, and S6D). We found that many iPS clones were
homozygous for identical indels. In particular, several clones were homozygous for an indel
at a low frequency (Figure S6A, S6C, and S6E). For example, we isolated one clone with a
homozygous 1-bp deletion in RBM20 No.3 (overall frequency was only 1.3%) and two
clones with a homozygous 11-bp deletion from RBM20 No.1 and 3 (1.4%) (Figures 3A and
3B). Therefore, we compared the proportion of clones with homozygous alleles for the 3
genes. We examined the frequencies of iPS cell clones homozygous for the top three
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frequent indel alleles in all three target genes and found that they were all higher than those
of the models, although some of them were not statistically significant (Figures 3C, 3D, S6A,
S6C, and S6E). Overall, genome editing in iPS cells tends to result in identical sequence
manipulations in both copies of the target sequences in single cells.
Robotic isolation of genome-edited iPS cell lines with rare genotypes
Because our new method based on robotic handling of cells allowed high-throughput
isolation of genome-edited iPS cell clones, we tested whether this method allowed us to
establish iPS clones with rare genotypes. As shown in Figure 3B, genome editing in iPS
cells produced mainly non-edited cells or cells homozygous for NHEJ, and cells with
heterozygous genotypes were relatively rare. Therefore, we characterized 2 clones with
heterozygous NHEJ in GRN, whose mutations are associated with frontotemporal lobar
degeneration (Chen-Plotkin et al., 2011). Based on our amplicon sequencing analysis, 1
clone (GRN-Het 1-bp ins) had a heterozygous 1-bp insertion, and the other clone (GRN-Het
Δ19-bp) had a heterozygous 19-bp deletion (Figure 4A). Both mutations were expected to
cause nonsense-mediated decay owing to frameshift mutations (Figure 4A). Because we
extracted genomic DNA from isolated clones while freezing a portion of these clones, we
thawed and recovered these two clones. Sanger sequencing and digital PCR confirmed that
the recovered clones maintained the identified heterozygous mutations (Figure 4B, 4C, and
S7). In addition, these clones maintained the expression of the pluripotency markers SOX2
and OCT4 (Figure 4D). These results indicate that our iPS cell cloning method allows the
establishment of clones with rare genotypes, which is highly useful for genome editing in iPS
cells to study and cure diseases.
Discussion
Since complete control of genome editing has not yet been achieved, we must rely on
single-cell cloning to establish genome-edited iPS cell lines with desired genotypes. In this
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study, we achieved high cloning efficiency using iPS cell culture in a 3-dimensional Matrigel
dome and robotic isolation of cell clumps using CELL HANDLER. Small molecule additives,
such as the CEPT cocktail, have been developed to avoid cell death induced by the
singularization of human iPS cells to enhance single-cell cloning (Tristan et al., 2023).
Therefore, a combination of our robotic handling method and these small-molecule additives
may further enhance the single-cell cloning of iPS cells.
We previously reported that genome editing in cultured human cells is induced in a binary
manner, where all target alleles are either completely edited or not edited at all. We found
this dichotomous effect in human iPS cells as well, as we observed fewer WT/NHEJ
heterozygously edited clones relative to the mathematical expectation (Figure 2F). Patients
with some genetic disorders are heterozygous for mutations. Our findings indicate that
establishing human iPS cells with these heterozygous mutations using CRISPR-Cas9 is
challenging. Recently, Kawamata et. al. reported the same binary trend in genome editing
and demonstrated that decreasing cleavage activity allows for heterozygous editing
(Kawamata et al., 2023). Therefore, to achieve heterozygous editing of human iPS cells, it
may be necessary to lower CRISPR-Cas9 activity.
In this study, we investigated and distinguished indels with different sequences. Deletions
were the predominant genome editing outcome for all target genes (Figures 3A, S5A, and
S5B). We also observed 1-bp insertions in the cleavage regions of the three genes. As
reported in previous studies, these 1-bp insertions presumably occur because Cas9
occasionally cleaves DNA sequences with single-base protrusions (Chakrabarti et al., 2019;
Lemos et al., 2018; Shen et al., 2018). Moreover, many of the observed deletions were
derived from microhomology-mediated end-joining (MMEJ), as previously reported by other
groups (Chen et al., 2019; Kim et al., 2018; van Overbeek et al., 2016; Shen et al., 2018).
The most frequent 8-bp deletion in RBM20 was a typical example of MMEJ, in which a 5-bp
microhomology (CCGGT) mediated the deletion (Figure 3A).
Interestingly, these NHEJ (including MMEJ) alleles were found to be homozygously induced
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in many clones (Figure 3D). The DNA repair mechanism is cell cycle-dependent and NHEJ
is typically active throughout the cell cycle, whereas HDR is only active in the S/G2 phase
(Danner et al., 2017). One possibility is that 1 of the 2 alleles was first edited by NHEJ and
the other allele was edited by HDR using the NHEJ allele as a homologous template,
resulting in 2 identical NHEJ alleles. Further studies are needed to confirm this hypothesis.
In summary, our study provides new insights into genome editing in human iPS using
CRISPR-Cas9. Single-cell cloning remains the most straightforward strategy for isolating
genome-edited iPS cell clones. However, the manual selection of cell colonies requires
considerable work and time. Moreover, numerous culture plates are required to grow iPS
cell colonies for picking, while keeping these colonies separated from each other in
2-dimensional culture. In our method, CELL HANDLER takes the burden of colony picking,
and the 3-dimensional culture allows a large number of clones to grow as cell clumps. These
advantages enable the large-scale establishment of genome-edited iPS clones, which will
be highly valuable for studying genetic disorders and developing gene therapies using iPS
cells.
Experimental Procedures
Resource availability
Corresponding author
Further information and requests for resources and reagents should be directed to and will
be fulfilled by the corresponding author (
[email protected]).
Materials
availability
All reagents and materials used in this manuscript are available upon request or prepared
for availability from commercial sources. GRN heterozygous knockout iPS cell lines
generated in this study will be made available on request, but we may require a payment
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and/or a completed material transfer agreement if there is potential for commercial
application.
Data and code availability
The amplicon sequencing data analyzed in this study will be shared upon request. Raw
amplicon sequencing data are available at the DDBJ Sequence Read Archive.
Plasmids and single-stranded DNA (ssDNA) donor
The px459-HypaCas9 plasmid used in this study to express HypaCas9 and the
puromycin-resistant gene has been described previously (Kato-Inui et al., 2018) (Addgene
Plasmid #108294). The single-stranded DNA donors and gRNAs used in this study have
also been reported previously (Takahashi et al., 2022). The sequences are listed in Tables
S3.
Maintenance of iPS cells
WTC11 iPS cells (Coriell Institute for Medical Research, GM25256) were used for all
experiments. iPS cells were maintained on thin-coated GFR Matrigel Matrix (Corning,
356231) in mTeSR Plus (STEMCELL Technologies, ST-100-0276) medium supplemented
with 1% penicillin-streptomycin (P/S) (Nacalai tesque, 26253-84). Cells were dissociated
using the Accutase (Nacalai tesque, 12679-54), to passaged wells, we added Y-27632 (final
concentration 10 uM), a Rho-associated kinase inhibitor (Ri) (FUJIFILM Wako Pure
Chemical, 034-24024), to promote cell survival.
Transfection
WTC11 iPS cells were seeded at 4x10^4 cells/well in a Matrigel-coated 24-well plate. The
next day, at least one hour before transfection, the medium was replaced with 500
μ L of
fresh mT eSR Plus with P/S and Ri. Lipofectamine Stem (Thermo Fisher, STEM00003) was
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used to transfect 400 ng/well of px459-HypaCas9 and 100 ng/well of ssDNA according to
the manufacturer’s instructions. After 1 and 2 days, the medium was replaced with 500 μ L of
fresh mTeSR Plus with P/S. At 4-6 days after transfection, when the cells reached
confluence, we dissociated the iPS cells into single cells and embedded them into Matrigel
domes.
Formation of Matrigel domes containing single iPS cells
GFR Matrigel (Corning, 356231) was kept on ice until use. Confluent iPS cells on a 24-well
plate were detached from the plate using 100
μ L/well of Accutase. Then, 400 μ L of PBS was
added to suspend the cells, which were centrifuged at 300 × g for 3 min. The supernatant
was removed and 1 mL of mTeSR Plus with P/S and Ri was added to gently suspend the
cells. After counting the number of cells using Countess II (Thermo Fisher Scientific), the cell
suspension was diluted to 10-30 cells/
μ L. Matrigel (400 μ L) was dispensed into a new 1.5
mL tube on ice, to which 100 μ L of diluted cell suspension was added and mixed gently.
Then, 50 μ L of the cell and Matrigel mixture was aliquoted into each well of a 6-well plate
(5-6 domes/well) (Figure 1B). Immediately after placing aliquots, the bottom of the plate was
warmed by hand for 2-3 min to allow the domes to start to gel. The plate was then inverted
and kept at 37°C for 2 h to solidify the Matrigel domes. After solidification, 3 mL of mTeSR
Plus with P/S and Ri were added and kept in a CO
2 incubator.
Recognition, picking, and seeding of iPS cell clumps by CELL HANDLER
Recognition, picking, and seeding of iPS cell clumps by CELL HANDLER (Yamaha Motor)
when the cell clumps reached a size of 100-200
μ m diameters. CELL HANDLER acquired a
total of 28 focus images in the Z-axis for a Matrigel dome to select cell clumps to pick. If cell
clumps matched the parameters for picking, CELL HANDLER carried out the picking and
seeding (Figure 1D and Table S1). The picked cell clumps were automatically transferred to
the wells of a Matrigel-coated 96-well plate containing 100
μ L of preheated mT eSR Plus with
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P/S and Ri medium. CELL HANDLER captured images of the cell clumps before and after
picking to verify the successful acquisition of cell clumps from the Matrigel domes.
Supplemental movies (Video S1) show picking processes using CELL HANDLER.
Expansion and freezing of isolated iPS cell clones
iPS clones were cultured for 2-3 weeks after robotic picking to ensure sufficient clone
expansion. The medium was removed, and 30
μ L/well of Accutase was added to detach and
resuspend the cells. Half of the cell suspension was transferred to a new 96-well plate and
used for genome extraction as described previously (Miyaoka et al., 2014). The other half of
the cell suspension in the original 96-well plate was mixed with 75 μ L of 10% dimethyl
sulfoxide (DMSO) and 90% fetal bovine serum. The mixtures were layered with 75 μ L of
mineral oil, and the plate was sealed with Parafilm for cryopreservation at -80°C. The two
clone lines in Fig. 4A were selected by amplicon sequencing analysis as described below, in
which clones with heterozygous knockout of the GRN gene were selected. To confirm that
these clones were pure, genotypes were identified by quantifying allele frequencies using
digital PCR, as described previously (Miyaoka et al., 2014).
Preparation of multiplexed amplicon sequencing libraries
Multiplexed amplicon sequencing libraries were prepared using 2 rounds of PCR, as
described previously (Takahashi et al., 2022). After the second PCR, the amplified DNA
fragments from the pooled 48 samples were purified by gel extraction using the NucleoSpin
Gel and PCR Clean-up Midi kit (TaKaRa, 740986.20). We repeated this DNA purification
process every 48 samples. The purified DNAs was mixed in equal molar ratios, and the
library was prepared according to Illumina's instructions. DNA concentrations of the mixed
libraries were quantified using the GenNext NGS Library Quantification Kit (Toyobo,
NLQ-101). After quantification, PhiX Control v3 (Illumina, FC-110-3001) was added at a final
concentration of 20% for amplicon sequencing. Sequencing was performed with MiSeq
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(Illumina) using the MiSeq v2 reagent kit (Illumina, MS-102-2003) or MiSeq Reagent kit v2
Nano (Illumina, MS-103-1001) according to the manufacturer’s instructions.
Amplicon sequencing data analysis and allele classification
Fastq files generated by MiSeq were imported into CLC Genomics Workbench (QIAGEN).
Adapter sequences were removed and demultiplexed using the DNA Index. The data were
then analyzed using CRI SPResso2 (https://git hub.com/pinellolab/CRISPResso2) in
CRISPResso Batch mode (Clement et al., 2019). CRISPResso2 was installed as
recommended using a Docker containerization system. In this study, all reads identified as
ambiguous by a CRISPResso2 analysis were classified as NHEJ.
Mathematical models for the distribution of clone genotypes, assuming that the WT, NHEJ,
HDR, and HDR+NHEJ alleles were randomly induced in all target alleles, were built by
distributing these edited alleles to the isolated iPS cell clones at their observed overall
frequencies, as described previously (Takahashi et al., 2022). We also distinguished the
major NHEJ alleles based on amplicon sequencing data. These 8 NHEJ alleles, together
with WT, HDR, and HDR+NHEJ alleles, accounted for approximately 60-70% of the total
alleles. Other NHEJ alleles were grouped and labeled "NHEJ.other".
Immunocytochemistry
iPS cells were gently washed in PBS and fixed in 4% PFA (EMS; 50-980-487) for 15 min.
Samples were washed 3 times in PBS and incubated with blocking buffer (3% goat normal
serum and 0.2% Triton-X in PBS) for 1 h at room temperature. Samples were then
incubated overnight with the primary antibody (Table S4) at the appropriate concentration in
primary blocking buffer at 4°C overnight, washed 3 times in DPBS, and incubated with
secondary antibodies (Table S4) diluted in blocking buffer at room temperature for 1 h. The
samples were incubated with Hoechst 33342 (Nacalai tesque, 04929-82) for 10 min at room
temperature and washed twice with PBS. Fluorescent images were captured using a
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Keyence BZ-X800 all-in-one microscope (Keyence) and analyzed using BZ-X Analyzer
software (Keyence).
Statistics
Transfection was performed in triplicate (three biological replicates). Values are displayed as
the mean ± standard error (S.E.). Statistical significance between the 2 groups was
assessed by a non-paired 2-tailed Student’s t-test and is displayed in the figures with
asterisks as follows: *p < 0.05; **p 0.2).
Supplemental Information
Supplemental information can be found online.
Figures S1-S7
Tables S1-S4
Videos S1
Author Contributions
G.T. and Y .M. conceived of the study and designed the experiments. G.T. and M.M.
transfected iPS cells and encapsulated a single iPS cell in the Matrigel dome. G.H.
performed pilot experiments to set up the parameters for CELL HANDLER. S.I. performed
cell clamp picking using CELL HANDLER presented in this study. G.T., M.M., and K.S.
classified the genotypes obtained using amplicon sequencing. G.T. and K.S. created the
NHEJ model. Y .M. supervised the project. G.T. and Y .M. wrote the manuscript with the help
of all the authors.
Acknowledgments
This work was supported by the Japan Society for the Promotion of Science (JSPS)
Grant-in-Aid for Challenging Research (Pioneering) 20K21409, Grant-in-Aid for Scientific
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Research (B) 20H03442 and 24K02028, Interstellar Initiative Beyond from Japan Agency for
Medical Research and Development (AMED) (23jm0610092h0001), Takeda Science
Foundation Medical Research Grant, Sumitomo Foundation Grant for Basic Science
Research Projects, Ichiro Kanehara Foundation Grant to Y .M., and JSPS Grant-in-Aid for
Early-Career Scientists (18K15054 and 22K15386). We thank Y . Utsumi and R. Abe
(Yamaha Motor Co., Ltd.) and all lab members for their helpful discussions.
Declaration of interests
G.H. and S.I. are employees of Yamaha Motor Co. Ltd. All other authors declare no conflicts
of interest in association with the present study.
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Figure Legends
Figure 1. Robotic isolation of genome-edited human iPS cell clones.
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(A) Schematic representation of the robotic isolation of genome-edited human iPS cell
clones. After transfection of HypaCas9 and donor DNA, and selection with puromycin,
genome-edited single iPS cells were cultured in Matrigel domes to form cell clumps (top left
and top center). Cell clumps were isolated by robotic picking by CELL HANDLER (top right).
Clones were genotyped by amplicon sequencing (bottom left, center, and right). (B)
Bright-field and fluorescence images of Matrigel domes in wells and EGFP-positive iPS cells
growing in Matrigel domes. Five to six Matrigel domes were created in each well of a 6-well
plate. Scale bar: left and right panels = 2 mm, center panel = 1 cm). (C) Tracking images of
a single iPS cell forming a cell clump in a Matrigel dome from day 1 to 5. Scale bar: 10
μ m.
(D) Picking and seeding of cell clumps by CELL HANDLER. CELL HANDLER captured
images before and after picking. In the “Before picking” image, the black arrows indicate
target clumps recognized by CELL HANDLER (outlined with green lines). In the “After
picking” image, the magenta square indicates the position of a cell clump picked by CELL
HANDLER. The “Dispensed” image shows the cell clump immediately after seeding into the
96-well plate (red arrow). Scale bar: 300
μ m. (E) Proportion of the isolated iPS cell clones
with different allelic numbers. We analyzed the number of allelic types in isolated clones.
Clones with
≥ 3 allelic types were removed from further analysis, as those clones may not
be derived from single genome-edited iPS cells.
Figure 2. Genotypes of genome-edited iPS cell clones.
(A) Proportion of genotypes of genome-edited human iPS cell clones. Almost no WT/HDR
and WT/NHEJ+HDR clones were isolated. (B) Genome editing outcomes in isolated clones
derived from single human iPS cells edited by Cas9. RBM20 editing outcomes are shown
(No.1 to No.3). Each bar represents 1 clone, and the genotypes of WT (green), NHEJ (blue),
HDR (red), and HDR + NHEJ (purple) in 1 clone are also shown in each bar. (C) Total allelic
frequencies of WT (green), NHEJ (blue), HDR (red), and HDR + NHEJ (purple) in
genome-edited iPS cells in the 3 experiments shown in (B). (D) Model of the distributions of
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20
clones with different genotypes assuming different alleles are randomly distributed at the
observed frequencies. The model for RBM20 No.3 is shown. (E) Comparison of the
proportions of WT/WT and NHEJ/NHEJ clones between the mathematical models and the
observed cells in RBM20, GRN, and ATP7B. Student’s t-test was used to evaluate
differences. **p <0.01, *p 0.2). (F) Comparison
of the proportions of WT/NHEJ clones between the mathematical models and the observed
cells in RBM20, GRN, and ATP7B. Student’s t-test was used to evaluate differences. **p
<0.01 and *p <0.05
Figure 3. Profiles of various indels induced by NHEJ.
(A) Sequences and frequencies of different alleles generated by RBM20 R636S editing. The
10 most frequently observed alleles after RBM20 editing are shown. Black and red underline
indicates guide RNA and PAM sequences, respectively. Red triangles and red dotted lines
indicate the cleavage site by Cas9. Blue and red characters indicate unedited and
substituted nucleotides, respectively. Blue boxes highlight the microhomology sequence
(CCGGT). (B) Genome editing outcomes with distinguished NHEJ sequences in isolated
clones derived from single human iPS cells edited by Cas9. RBM20 editing outcomes are
shown (No.1 to No.3) (C) Model of the distributions of clones with different genotypes
assuming different alleles are randomly distributed at the observed frequencies. The model
for RBM20 No. 3 is shown.
(D) Comparison of the proportions of homozygous NHEJ clones
with the top 3 most frequent indels between the mathematical models and the actually
observed cells. Values ±S.E. are shown (n = 3). Student’s t-test was used to evaluate
differences. **p <0.01, *p 0.2).
Figure 4. Maintenance of pluripotency and genotypes after robotic isolation of iPS
clones.
(A) Two iPS cell lines with heterozygous NHEJ in GRN identified by amplicon sequencing.
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21
DNA sequences and predicted amino acid sequences are shown. These 2 indels were
expected to be nonsense mutations. (B) Sanger sequencing of the 2 heterozygous NHEJ
iPS cell lines. (C) Digital PCR analysis of the NHEJ frequency in the 2 heterozygous NHEJ
iPS cell lines. The 2 lines had approximately 50% wild-type and 50% NHEJ alleles. WT
genomic DNA is the control for digital PCR. (D) Immunocytochemistry of SOX2 and OCT4 in
the 2 GRN heterozygous KO iPS cell lines. Scale bar: 100 μ m.
Table
Table 1. iPS cell cloning efficiencies in 96-well plates by robotic picking
Target mutation Exp. Wells with clones/
Plated wells
Cloning efficiency
(%)
N1 204 / 288 70.8
RBM20 R636S N2 168 / 240 70.0
N3 165 / 288 57.3
Total 537 / 816 66.4
N1 174 / 264 65.9
GRN R493X N2 159 / 240 66.3
N3 137 / 240 57.1
Total 470 / 744 62.3
N1 181 / 288 62.8
ATP7B R778L N2 103 / 233 44.2
N3 81 / 174 46.6
Total 365 / 695 53.0
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Figure 1
A
Dome 2
Dome 1
Bright filed
EGFP+ iPS cell clumps in
Matrigel domes in a 6-well plate
DomeWell
96%
ATP7BGRN
99%
Clones with one or two alleles
Clones with three or more alleles
RBM20
94%
Day1 Day3 Day5
B
D
C
E
2. Single-cell culture in
Matrigel domes
3. Picking of cell clumps
by CELL HANDLERTM
1. Selection of genome-edited
cells by puromycin
5. Amplicon-seq 6. Classification of generated alleles
ATGTTAGAACGG…
ATGTTAGAACGG…
ATGTT-GAACGG…
ATGTTTGAACGG…
WT
NHEJ
HDR
NHEJ+HDR
Clone A
Allele 1
Allele 2
PCR
Selection
ssDNA Donor
HypaCas9-T2A-PuroR
4. Library preparation by PCR
Before picking After picking Dispensed
in 2D culture platein Matrigel domes
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13.4
%
8.3
%72.7
%
2.0
%
2.2
% 0.7
%
0.2
%
0.5
%
29.3
%
13.1
%
51.8
%
1.8
%
0.3
%
3.1
%
0.3
%
0.3
%
18.1
%
12.0
%68.1
%
1.4
%
0.5
%
ATP7BGRNRBM20
Proportion of genotypes of genome-edited human iPS cell clones
RBM20 No.1
RBM20 No.2
WT NHEJ NHEJ+HDR HDR
0%
100%
0%
100%
0%
100%
RBM20 No.3
0%
100%
Model for RBM20 No.3 WT NHEJ NHEJ+HDR HDR
Figure 2
A
B
D
RBM20 GRN ATP7B
NS
Obsvd Model(%)
WT/WT Clone
proportion
0
20
40 NS*
0
50
100
(%)
NS NS
*
0
30
60
WT/NHEJ Clone
proportion
(%)
*
***
NHEJ/NHEJ Clone
proportion
Obsvd Model Obsvd Model
E
RBM20 GRN ATP7B RBM20 GRN ATP7B
WT WT/NHEJ WT/HDR WT/NHEJ+HDR NHEJ
NHEJ/HDR NHEJ/NHEJ+HDR HDR HDR/NHEJ+HDR NHEJ+HDR
Total Allelic Frequencies
WT NHEJ NHEJ+HDR HDR
No.1 No.2 No.3
0
50
100
(%)
C
F
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0%
100%
0%
100%
0%
100%
0%
100%
RBM20 No.1
RBM20 No.2
RBM20 No.3
Model for RBM20 No.3
Figure 3
A
B
C
WT Δ 8-bp_1 Δ 9-bp Δ 1-bp Δ 8-bp_2 Δ 8-bp_3
Δ 11-bp 1-bp ins Δ 6-bp NHEJ.others NHEJ+HDR HDR
D RBM20
*
0
10
20
0
4
8
0
4
8
Obsvd
Model
GRN ATP7B
** NS
P=0.0532
NS ** *
Obsvd
Model
Obsvd
Model
(%) (%) (%)
Δ 8-bp_1
WT
Δ 9-bp
Δ 1-bp
Δ 8-bp_2
HDR
Δ 8-bp_3
Δ 11-bp
1-bp ins
Δ 6-bp
CGCGGTCTCGTAGTCCGGT--------CACTCTCCCCGAG
CGCGGTCTCGTAGTCCGGTGAGCCGGTCACTCTCCCCGAG
CGCGGTCTCGTAG---------CCGGTCACTCTCCCCGAG
CGCGGTCTCGTAGTCCGGT-AGCCGGTCACTCTCCCCGAG
CGCGGTCTCGTA--------AGCCGGTCACTCTCCCCGAG
CGCGGTCTAGTAGTCCGGTGAGCCGGTCACTCTCCCCGAG
CGCGGTCTCGTAGTCCGGTG--------ACTCTCCCCGAG
CGCGGTCTC-----------AGCCGGTCACTCTCCCCGAG
CGCGGTCTCGTAGTCCGGTGAAGCCGGTCACTCTCCCCGA
CGCGGTCTCGTAGTCCGGTG------TCACTCTCCCCGAG
CGCGGTCTCGTAGTCCGGTGAGCCGGTCACTCTCCCCGAG
28.2%
17.9%
14.3%
5.6%
2.7%
1.9%
1.7%
1.4%
1.3%
1.1%
Allelic frequencies in RBM20 edited-iPS clones
Ref
P=0.1413
P=0.1594
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GRN heterozygous knock-out iPS cell lines
WT ARSCEKEVVSAQPATFLARSP…
GRN-Het 1-bp ins ARSCEEGSGLCPACHLPGP*
GRN-Het Δ 19-bp ARSLPSLPPSWPVALTWV*
Predicted amino acid sequence
WT GCTCGATCCTGCGAGAAGGAAGTGGTCTCT…
GRN-Het 1-bp ins (WT/1-bp ins) GCTCGATCCTGCGAAGAAGGAAGTGGTCTCT…
GRN-Het Δ 19-bp (WT/Δ 19-bp) GCTCGATC-------------------TCT…
0
50
100 WT
NHEJ
GRN-Het
1-bp ins
GRN-Het
Δ 19-bp
WT
Allelic frequencies(%)
Figure 4
A
C
B
D
CCTGCGAGAAGGAAG
CCTGCGAAGAAGGAA
WT
1-bp ins
1-bp ins
GRN-Het 1-bp ins
( WT/1-bp ins)
ATCCTGCGAGAAGGAAGTGGTCTCT
ATCTCTGCCCAGCCTGCCACCTTCC
Δ 19-bp
WT
Δ 19-bp
GRN-Het Δ 19-bp
( WT/Δ 19-bp)
GRN-Het Δ 19-bpGRN-Het 1-bp ins
SOX2
OCT4SOX2SOX2
OCT4
SOX2
Sequences from amplicon-sequencing
Nuclei Nuclei Nuclei Nuclei
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