- Open Access
In vitro genome editing rescues parkinsonism phenotypes in induced pluripotent stem cells-derived dopaminergic neurons carrying LRRK2 p.G2019S mutation
Stem Cell Research & Therapy volume 12, Article number: 508 (2021)
The c.G6055A (p.G2019S) mutation in leucine-rich repeat kinase 2 (LRRK2) is the most prevalent genetic cause of Parkinson’s disease (PD). CRISPR/Cas9-mediated genome editing by homology-directed repair (HDR) has been applied to correct the mutation but may create small insertions and deletions (indels) due to double-strand DNA breaks. Adenine base editors (ABEs) could convert targeted A·T to G·C in genomic DNA without double-strand breaks. However, the correction efficiency of ABE in LRRK2 c.G6055A (p.G2019S) mutation remains unknown yet. This study aimed to compare the mutation correction efficiencies and off-target effects between HDR and ABEs in induced pluripotent stem cells (iPSCs) carrying LRRK2 c.G6055A (p.G2019S) mutation.
A set of mutation-corrected isogenic lines by editing the LRRK2 c.G6055A (p.G2019S) mutation in a PD patient-derived iPSC line using HDR or ABE were established. The mutation correction efficacies, off-target effects, and indels between HDR and ABE were compared. Comparative transcriptomic and proteomic analyses between the LRRK2 p.G2019S iPSCs and isogenic control cells were performed to identify novel molecular targets involved in LRRK2-parkinsonism pathways.
ABE had a higher correction rate (13/53 clones, 24.5%) than HDR (3/47 clones, 6.4%). Twenty-seven HDR clones (57.4%), but no ABE clones, had deletions, though 14 ABE clones (26.4%) had off-target mutations. The corrected isogenic iPSC-derived dopaminergic neurons exhibited reduced LRRK2 kinase activity, decreased phospho-α-synuclein expression, and mitigated neurite shrinkage and apoptosis. Comparative transcriptomic and proteomic analysis identified different gene expression patterns in energy metabolism, protein degradation, and peroxisome proliferator-activated receptor pathways between the mutant and isogenic control cells.
The results of this study envision that ABE could directly correct the pathogenic mutation in iPSCs for reversing disease-related phenotypes in neuropathology and exploring novel pathophysiological targets in PD.
Parkinson’s disease (PD) is a multifactorial neurodegenerative disorder characterized by progressive neuronal α-synuclein aggregation and loss of dopaminergic neurons in the substantia nigra . The etiology of PD comes from an interplay between genetic and environmental risk factors. Mutations in the leucine-rich repeat kinase 2 (LRRK2) gene have emerged as one of the most important genetic causes of familial and sporadic PD . Patients carrying LRRK2 mutations phenotypically manifest as late-onset sporadic PD [3, 4]. The c.G6055A (p.G2019S) mutation in LRRK2 is the most prevalent mutation in patients with PD . Cumulative evidence indicates that the LRRK2 p.G2019S mutation aberrantly increases the LRRK2 kinase activity with regard to both autophosphorylation and the phosphorylation of exogenous kinase substrates . This abnormally increased kinase activity has been linked to several pathogenic mechanisms in PD, including α-synuclein homeostasis, impaired neurite morphogenesis, and neuronal apoptosis [7,8,9,10].
The dominant gain-of-function mutation in LRRK2 is challenging for the treatment of parkinsonism by gene silencing or gene disruption strategies because LRRK2 plays pivotal roles in many regulatory pathways, including the immune system [11, 12]. Although LRRK2 small molecule kinase inhibitors have already completed a phase I clinical trial in healthy volunteers , issues related to the safety of chronic use of LRRK2 kinase inhibitors, especially in the kidneys and lungs, are still concerning .
Clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) genome editing has been applied to correct specific disease mutation in the cells of patients by homology-directed repair (HDR) , providing isogenic controls without biological variance arising from differences in the genetic background. Recently, the successful correction of LRRK2 mutations using zinc-finger nuclease-mediated gene targeting has been employed to create isogenic control lines by removing point mutations in induced pluripotent stem cells (iPSCs) generated from the fibroblasts of patients with LRRK2 mutations . However, CRISPR/Cas9-HDR involves the generation a double-strand DNA break that is also resolved via nonhomologous end joining (NHEJ). NHEJ typically results in random integration or complex mixtures of small insertions and deletions (indels) . The recent advances in adenine base editors (ABEs) could convert targeted A·T base pairs to G·C base pairs without double-strand DNA breaks or donor DNA templates and function well in post-mitotic nondividing cells, such as neurons [18, 19]. Because ABE-mediated correction does not create double-strand DNA breaks, it minimizes the formation of indels [18, 20]. This study aimed to compare the mutation correction efficiencies and off-target effects between ABE and HDR.
A set of isogenic iPSC lines by correcting the LRRK2 c.G6055A (p.G2019S) mutation in a PD patient-derived iPSC line using CRISPR/Cas9-based HDR or ABEs were established. The mutation correction efficacies, off-target effects, and indels were compared between the two genome editing methods. Comparative transcriptomic and proteomic analyses between the parental LRRK2 p.G2019S iPSCs and isogenic control cells identified novel candidates involved in LRRK2-parkinsonism pathways.
Materials and methods
Human iPSC culture
Human iPSCs carrying the heterozygous LRRK2 c.G6055A (p.G2019S) mutation were derived from a male Caucasian patient with PD and purchased from NINDS Human Genetics DNA and Cell Line Repository (ND40019*C). Wild-type (WT) iPSCs were derived from the peripheral blood mononuclear cells of a healthy 58-year-old male volunteer using the CytoTune Sendai viral vector kit (Life Technologies, Carlsbad, CA, USA). The collection of clinical information and venous blood from the healthy volunteer was approved by the Institutional Review Board of Chang Gung Memorial Hospital (201800469B0) and National Taiwan University Hospital (201907114RINB). As the age and gender information, in combination with other identifiers, may compromise patient/participant anonymity. Informed consent was obtained from this healthy volunteer, and we also have obtained the consent for publication from the donor. The iPSCs were maintained on a feeder-free culture using StemFlex medium (Gibco, Thermo Fisher Scientific, Waltham, Massachusetts, USA) according to the manufacturer’s instructions and passaged with StemPro Accutase (A1110501, Thermo Fisher Scientific, Waltham, Massachusetts, USA) at a ratio of 1:3 every week.
CRISPR/Cas9-HDR-mediated genome editing
To correct the LRRK2 c.G6055A (p.G2019S) mutation and generate isogenic lines, double-nicking CRISPR/Cas9 and HDR were applied to the LRRK2 p.G2019S iPSC line using the Streptococcus pyogenes (Sp)-derived Cas9 (SpCas9) system, which requires 5’-NGG as its protospacer-adjacent motif (PAM) sequence. A DNA double-strand break in the target site was induced as described previously . The vectors were sequenced using a commercial sequencing kit (Applied Biosystems, Foster City, CA, USA) and a DNA sequencer (Applied Biosystems, Foster City, CA, USA) according to the manufacturer’s instructions. Several sgRNAs targeting c.G6055A (p.G2019S) in LRRK2 (Fig. 1a) were designed. A puromycin/TK selection–counterselection cassette was inserted to facilitate screening and isolation of the corrected clones. The cleavage efficiency of the two designed sgRNAs was evaluated using a T7E1 cleavage assay after transfecting HEK293T cells with individual sgRNAs. The single-stranded oligodeoxynucleotides (ssODNs) used as donor templates harbored the WT sequence of exon 41 of LRRK2 to replace the missense c.G6055A (p.G2019S) mutation via homologous recombination. The gRNAs and ssODNs were ordered from IDT (Coralville, USA).
Adenosine base editing
The ABE system (ABEmax-NG and ABEmax-NGG) , supported by the RNAi core facility of Academia Sinica of Taiwan, was applied for direct correction of the c.G6055A (p.G2019S) mutation in LRRK2. The sequence of sgRNA targeting c.G6055A (p.G2019S) is shown in Fig. 1a.
Electroporation of iPSCs
The iPSCs were grown to 70% confluence in a Matrigel (Corning)-coated 10-cm tissue culture dish. The cells were pre-treated with 10 μM of Rho Kinase (ROCK) inhibitor (Y-27632 dihydrochloride, Sigma-Aldrich, Burlington, USA) in 7.5 ml StemFlex™ medium (Thermo Fisher Scientific, Waltham, Massachusetts, USA) for 2 h and then washed with 5 ml Dulbecco's phosphate-buffered saline (DPBS) without Ca2+ and Mg2+. The cells were then dissociated into single cells by incubating them with 1 ml of StemPro Accutase for 5 min at 37 °C, and then mixing with 4 ml of StemFlex™ medium. The cells were then transferred to a 15 ml centrifuge tube and counted in a Neubauer-improved bright-line counting chamber (Marienfeld Superior, Lauda-Königshofen Germany). The 1 × 106 cells were washed once with 1 ml DPBS, and then, the cell pellets resuspended in 100 μl Buffer R (Neon 100 μl kit, Thermo Fisher Scientific, Waltham, Massachusetts, USA). For CRISPR/Cas9-based HDR editing, resuspended cells were mixed with 5 μg of each sgRNA-encoding plasmid and 100 pmol of ssODN per electroporation (900 V/30 ms/2 pulses) in the Microporator MP-100 (Digital Bio Tech. Co., Korea). For ABE procedures, 1 × 106 resuspended cells were mixed with 5 μg of ABEmax-NG plasmid and used for electroporation (1000 V/30 ms/2 pulses).
Next, cells were immediately seeded into a Matrigel-coated 6-well plate with 2 ml StemFlex™ medium containing 10 μM Y-27632. For cells receiving CRISPR/Cas9-based HDR editing, cells were treated with NHEJ inhibitor, 1 μM Scr7 (Merck, Darmstadt, Germany) , and HDR enhancer 10 μM RS-1 (Merck, Darmstadt, Germany)  to improve the efficacy of precise gene editing. After a 24-h incubation, the cells were treated with 2 ml StemFlex™ Medium containing 0.28 μg puromycin per ml medium (Merck, Darmstadt, Germany) with 1 μM Scr7 or 10 μM RS-1 for another 48 h. After puromycin treatment, half of the cells were harvested for evaluation of the HDR efficiency, and the other half were seeded on Matrigel-coated 96-well plates for single cell screening. All cell culture work was done at 37 °C in a humidified atmosphere containing 5% CO2.
Off-target effect and whole genome sequencing analyses
The corrected clones obtained by the two gene editing methods were expanded and checked for off-target effects via direct Sanger sequencing of LRRK2 exon 41. The off-target sites were also predicted at http://crispr.genome-engineering.org/. Whole genome sequencing (WGS) in selected clones was performed for validation. Raw reads were subjected to quality control analysis using FastQC (v0.11.9) and adaptor sequences trimmed by cutadapt (v3.0). Quality-controlled reads were mapped to human reference genome GRCh38 using BWA-mem (v0.7.17). According to the Genome Analysis ToolKit (GATK) Best Practices recommendations, duplicated reads were marked and base quality scores recalibrated using the functions implemented in GATK (v188.8.131.52). Variants were called utilizing GATK Mutect2 by comparing mutant and parental lines. Variants were annotated by AnnoVar (v2019-10-24) and Ingenuity Variant Analysis™. The quality of the alignment and variant calling was assessed by Integrative Genomics Viewer (IGV, v. 2.8.4).
LRRK2 genotyping and sequencing
Genomic DNA was isolated from cells using a DNA Extraction Kit (Stratagene, La Jolla, CA, USA). The LRRK2 genotype was determined by PCR amplification, gel purification, and direct sequencing using an ABI PRISM 3730 Genetic Analyzer (Applied Biosystems, Waltham, Massachusetts, USA). Each PCR included 20 ng of genomic DNA, 0.2 µM of each primer (Forward: TTAAGGGACAAAGTGAGCAC; Reverse: TGAACTCACATCTGAGGTCA), and Universal PCR Master Mix (Applied Biosystems, Waltham, Massachusetts, USA). The PCR conditions were as follows: 95 °C for 2 min, followed by 30 cycles of 95 °C for 30 s, 65 °C for 45 s, and 72 °C for 40 s, with a final extension at 72 °C for 10 min.
Confluent cells in 6-well plates were treated with 10 µg/ml N-desacetyl-N-methylocolchicine (Gibco, Thermo Fisher Scientific, Waltham, Massachusetts, USA) for 20 min at 37 °C and then dissociated with 0.025% trypsin. The cell suspension was centrifuged at 1300 rpm for 5 min. After washing with PBS, the cells were resuspended in 1 ml PBS and 3 ml 37.5 mM KCl hypotonic solution for 30 min at 37 °C and then treated with 2 ml methanol/acetic acid (3:1, v/v) at room temperature for 5 min. The cell suspension was centrifuged at 1300 rpm for 5 min and the pellet washed twice with 5 ml methanol/acetic acid for 5 min at room temperature. Two to three drops of cell suspension were dropped onto a microscope slide, which was then air-dried and stained by immersion in fresh Giemsa stain (Sigma-Aldrich, Burlington, USA). The chromosome spread was photographed under a Leica DMRB epifluorescence microscope.
Teratoma formation and histology
Nude mice were anesthetized with diethyl ether, and the dorsal flank was subcutaneously injected with 100 μl of a cell suspension of 1 × 107 cells/ml iPSCs in PBS containing 1% fetal calf serum. Four weeks after the injection, tumors were surgically dissected from the mice, fixed in 4% formaldehyde, and embedded in paraffin. Sections were stained with hematoxylin and eosin.
Monolayer dopaminergic neuron differentiation
Dopaminergic neuron differentiation from mutation-corrected iPSCs was performed from the modified dual-inhibition monolayer differentiation protocol as described previously . The iPSC cultures were disaggregated using disperse (STEMCELL Technologies, Vancouver, British Columbia, Canada) for 12 min and plated on Matrigel-coated dishes in MEF conditioned iPSC medium. The dishes were spiked with 8 ng/ml of fibroblast growth factor 2 (PeproTech, Rocky Hill, NJ, USA) at a density of 10,000–25,000 cells/cm2. The initial differentiation conditions were N2B27 medium (1:1 mixture of DMEM/F12 supplemented with modified N2 and Neurobasal medium supplemented with B27, all purchased from Invitrogen, Thermo Fisher Scientific, Waltham, Massachusetts, USA) spiked with 10 µM TGF-β inhibitor SB431542 (Sigma-Aldrich, Burlington, USA), 200 nM dorsomorphin (Sigma-Aldrich, Burlington, USA), and 100 ng/ml Noggin (R&D Systems, Minneapolis, MN, USA) for 4 days. Dopaminergic neuronal patterning was initiated with the addition of 20 ng/ml BDNF (R&D Systems, Minneapolis, MN, USA), 0.2 mM ascorbic acid (Sigma-Aldrich, Burlington, USA), 1 μM purmorphamine (Sigma-Aldrich, Burlington, USA), and 100 ng/ml FGF8 (R&D Systems, Minneapolis, MN, USA) on days 9–12. DAergic neurons were matured by treatment with 20 ng/ml BDNF, 0.2 mM ascorbic acid, 10 ng/ml GDNF, and 1 ng/ml TGFb3 (all were purchased from R&D, R&D Systems, Minneapolis, MN, USA).
Cells cultured on coverslips were washed with PBS and fixed with 4% paraformaldehyde for 15 min at room temperature. After washing twice with PBS and 0.1% Triton X-100 (Sigma-Aldrich, Burlington, USA) at 4 °C for 5 min, the cells were incubated in blocking solution containing PBS and 1% BSA (Sigma-Aldrich, Burlington, USA) for 20 min at room temperature for 1 h. Next, they were incubated in primary antibody at the appropriate dilution in blocking solution overnight at 4 °C. After washing three times with PBS for 10 min, the cells were incubated with the diluted secondary antibody in blocking solution in the dark for 30 min. The cells were then counterstained with 4’-6-diamidino-2-phenylindole (DAPI, 1:10,000, Molecular Probes, Eugene, Oregon, USA). The coverslips were picked up and mounted with mounting solution (DAKO, Agilent Technologies, Santa Clara, CA, USA) on microscopic slides and examined under a Leica TCS confocal microscope.
Western blot analysis
Cells were lysed with lysis buffer. The protein concentration of the cell lysate was measured by DC protein assay (Bio-Rad Laboratories, Hercules, CA, USA). Samples were diluted with 1% SDS to 0.7 mg/ml. A 12.5 µl aliquot of each sample was loaded into the wells of a 4.3% SDS–polyacrylamide stacking gel and separated by electrophoresis on a 10% SDS–polyacrylamide running gel in running buffer at 120 V for 60–90 min. The gels were then placed in a semi-dry transfer cell (Bio-Rad Laboratories, Hercules, CA, USA) in which the polyvinylidene difluoride membrane (Merck Millipore, Burlington, Massachusetts, USA) had been rinsed in methanol. Proteins were transferred by running at 90 V for 1 h in transfer buffer. The membranes were blocked with 3% skim milk in PBS containing 0.05% Tween-20 (Sigma-Aldrich, Burlington, USA) for 1 h at room temperature and then incubated with primary antibody appropriately diluted with 5% skim milk in PBST at 4 °C overnight. After washing with PBST, the membrane was incubated with horseradish peroxidase (HRP)-conjugated secondary antibody for 1 h at room temperature. Signals were detected by enhanced chemiluminescence and Hyperfilm ECL (Bio-Rad Laboratories, Hercules, CA, USA).
The primary antibodies used for immunocytochemistry were rabbit anti-OCT4 (1:500, Abcam), mouse anti-TRA-1-81 (1:250, BD Pharmingen), rabbit anti-TH (tyrosine hydroxylase, 1:250, Millipore), and mouse anti-TUBB3 (1:10,000, GeneTex). The secondary antibodies were Alexa594-conjugated donkey anti-rabbit IgG (1:200, Invitrogen) and Alexa488-conjugated donkey anti-mouse IgG (1:200, Invitrogen). The antibodies used for Western blotting were rabbit anti-α-synuclein (1:800, Proteintech), rabbit anti-phosphor-α-synuclein (Ser129) (1:1000, Abcam), rabbit anti-LRRK2 (1:1000, Abcam), rabbit anti-phospho-LRRK2 (Ser1292) (1:500, Abcam), and mouse anti-TUBB3 (1:10,000, Biolegend). The secondary antibodies were goat anti-mouse IgG-HRP (1:20,000, GE Healthcare) and goat anti-rabbit IgG-HRP (1:20,000, GE Healthcare).
Caspase 3 activity assay
Caspase 3 activity was determined using a Caspase Activity Assay Kit (Sigma-Aldrich, Burlington, USA). The activity was measured according to the cleavage of DEVD-p-nitroanilide to yellow-colored p-nitroaniline through time . The caspase 3 activity was calculated in µmol p-nitroaniline released per min per ml of cell lysate. All samples were tested as triplicates and normalized to normal control.
Neurite outgrowth measurement
The neurite outgrowth features of differentiated neurons, including total outgrowth, processes, and branches, were assessed by MetaMorph microscopy automation and image analysis software (Molecular Devices, San Jose, CA, USA) based on the immunocytochemistry of DA neuronal marker TH.
RNA quantification and qualification
Cells were collected in Trizol reagent (Ambion, Life Technologies, Carlsbad, CA, USA) according to the manufacturer’s instructions and then treated with DNase I (New England Biolabs, Ipswich, Massachusetts, USA) at 37 °C for 30 min. Total RNA was extracted once using phenol/chloroform equilibrated with 50 mM NaOAc (pH 5.0) and ethanol precipitated. RNA quantification was performed using SimpliNano™ - Biochrom Spectrophotometers (Biochrom, MA, USA). RNA degradation and integrity were monitored by the Qsep 100 DNA/RNA Analyzer (BiOptic Inc., Taiwan).
Library preparation for transcriptome sequencing
A total of 1 µl of total RNA was used as the input for library preparation. Sequencing libraries were generated using the KAPA mRNA HyperPrep Kit (KAPA Biosystems, Roche, Basel, Switzerland) according to the manufacturer’s recommendations. Index codes were added to attribute sequences to each sample. Briefly, mRNA was purified from total RNA using magnetic oligo-dT beads. Captured mRNA was fragmented by incubating at 94 °C in the presence of magnesium in KAPA Fragment in 1X Prime and Elute Buffer. First-strand cDNA was synthesized using random hexamers. Combined second-strand synthesis and A-tailing, which converts the cDNA/RNA hybrid to double-stranded cDNA, incorporated dUTP into the second cDNA strand and added dAMP to the 3′ ends of the resulting double-stranded cDNA. The dsDNA adapter with 3’dTMP overhangs was ligated to library insert fragments to generate the library fragments carrying the adapters. To select cDNA fragments 300 ~ 400 bp in length, the library fragments were purified using the KAPA Pure Beads system (KAPA Biosystems, Roche, Basel, Switzerland). The library carrying appropriate adapter sequences at both ends was amplified using KAPA HiFi HotStart Ready Mix (KAPA Biosystems, Roche, Basel, Switzerland) with library amplification primers. The strand marked with dUTP was not amplified, allowing strand-specific sequencing. PCR products were purified using the KAPA Pure Beads system and the library quality assessed on the Qsep 100 DNA/RNA Analyzer (BiOptic Inc., Taiwan).
Transcriptome data analysis
The raw data obtained by high-throughput sequencing (Illumina NovaSeq 6000 platform) were transformed into raw sequenced reads by CASAVA base calling and stored in the FASTQ format. FastQC and MultiQC  were used to estimate the quality of the files. The paired-end reads were filtered by Trimmomatic (v0.38)  to discard low-quality reads, trim adaptor sequences, and eliminate poor-quality bases with the following parameters: LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:30. The obtained high-quality data (clean reads) were used for subsequent analysis. Read pairs from each sample were aligned to the reference genome (e.g., H. sapiens, GRCh38) by HISAT2 software (v2.1.0) [29, 30]. The read numbers mapped to individual genes were counted by Feature Counts (v1.6.0) . For gene expression, “Trimmed Mean of M-values” normalization (TMM) was performed by edgeR (v3.28.1) based on negative binomial without biological replicates. Differentially expressed genes were analyzed in R using DEGseq (v1.40.0), which is based on a Poisson distribution model. The resulting p-values were adjusted using Benjamini and Hochberg’s approach for controlling the false discovery rate (FDR). For transcripts per million (TPM), the read counts were normalized by the gene length (per kilobase) and then divided by the sum of the gene length normalized values and multiplied by 1 × 106.
Protein extraction and digestion
Cell pellets were washed three times with ice-cold PBS and resuspended in lysis buffer containing 4% SDS, 1X protease inhibitor cocktail (BIOTOOLS, Taipei, Taiwan), and 100 mM Tris–HCl (pH 9.0). First, cells were heated at 95 °C for 5 min to inactivate the endogenous enzymes and then subjected to ultrasonication for homogenization. Homogenized samples were centrifuged for 30 min at 20,000 rpm at 4 °C and the supernatants subjected to methanol/chloroform precipitation . The precipitated protein extract was dissolved and denatured in 8 M urea buffer containing 50 mM TEABC, 10 mM TCEP, and 40 mM CAA. After dilution to 2 M urea with 50 mM TEABC, lysyl endopeptidase was added at a 1:100 (w/w) ratio for 3 h, followed by overnight trypsin digestion at a ratio of 1:50 (w/w) at 29 °C. Digested samples were acidified with TFA to pH 2–3 and desalted using a homemade SDB-XC StageTip .
Tryptic peptides were analyzed using an Orbitrap Fusion Lumos mass spectrometer (Thermo Fisher Scientific, Waltham, Massachusetts, USA) coupled with a Thermo Scientific UltiMate 3000 RSLCnano system (Thermo Fisher Scientific, Waltham, Massachusetts, USA). One microgram of peptide mixture was loaded onto the Thermo Scientific PepMap C18 50 cm × 75 µm ID column (Thermo Fisher Scientific, Waltham, Massachusetts, USA) and separated using a gradient of 4% to 38.5% solvent B (ACN with 0.1% formic acid) over 160 min at a flow rate of 250 nl/min and a column temperature of 45 °C. Solvent A was 0.1% formic acid in water. The mass spectrometer was operated in TopSpeed mode with a cycle time of 3 s. Survey full-scan MS spectra were acquired in the orbitrap (m/z 350–1500) with the resolution set to 60 K and automatic gain control (AGC) target at 5e4. The most intense ions were isolated sequentially for HCD MS/MS fragmentation and detected in the orbitrap by dynamic exclusion for 20 s. For MS/MS, a resolution of 30 K and an isolation window of 1.4 Th with an auto-tuned AGC target and injection time were applied. Fragmentation was performed with a normalized collision energy of 30%. The advanced peak detection function was on with a precursor fit threshold of 70% at a 1.4 m/z window. The precursor ions with charges of 2+ to 7+ were selected for HCD fragmentation.
MS data processing
All MS raw files were processed in Proteome Discoverer (ver. 2.4) by SequestHT engines against the Swissprot Homo sapiens database (download on 2020.02) and common contaminants containing 20,303 and 147 protein entries for protein identification and quantification, respectively. The search criteria were as follows: 10 ppm mass tolerance for precursor and 0.05 Da for product ions, trypsin specificity allowing up to two missed cleavages, fixed modification of carbamidomethyl (C), and variable modification of oxidation (M) and acetylation (protein N-term). The minimal peptide length was set at seven residues, and the FDRs for peptide and protein were both set at 1%. Master proteins were selected for advanced quantification analysis using Perseus (ver. 184.108.40.206) . To detect the complete matrix of intensities for regulation in the quantification analysis, missing value imputation was performed when all three values existed in at least one condition. The log2 scale of protein abundance was subjected to a Student’s t test with P < 0.05. All raw MS files are accessible at the jPOST repository (https://repository.jpostdb.org) under accession number JPST001139 .
Quantification experiments were performed in triplicate. Neurite outgrowth measurements were obtained by counting at least 200 neurons in each independent experiment. Each set of values was expressed as mean ± standard deviation. Differences between groups were determined using a two sample Student’s t test or one-way ANOVA with Bonferroni’s post hoc test. All P-values were two-tailed, and a value less than 0.05 was considered significant. All statistical analyses were performed using the Statistical Program for Social Science software version 23.
Comparison of CRISPR/Cas9-HDR and ABE genome editing
To correct the c.G6055A (p.G2019S) mutation in LRRK2 and generate isogenic lines, CRISPR/Cas9-based HDR and ABEs were applied. Double-nicking CRISPR/Cas9-HDR was applied to the mutant iPSC line using a single-stranded oligodeoxynucleotides (ssODNs) template harboring the WT sequence of exon 41 of LRRK2 and containing silent variants as cutting sites for restriction enzymes on the 5’ side of the target site to replace the targeted gene region via homologous recombination (Fig. 1a). The cleavage efficiency of the sgRNAs for CRISPR/Cas9-HDR was evaluated by a T7E1 cleavage assay after transfecting HEK293T cells with individual sgRNAs. Following electroporation of the CRISPR/Cas9-HDR plasmid and ssODNs into the LRRK2 p.G2019S iPSCs, puromycin selection was performed and ∼50 colonies were isolated and evaluated by Sanger sequencing to confirm the targeted mutation was corrected. Among the 47 clones generated by HDR, 3 (6.4%) were on-targeted corrected, whereas the ABEs had a much higher correction rate (13 of 53 clones, 24.5%). Twenty-seven of the HDR clones (57.4%), but none of the ABE clones, had small deletions on exon 41 of LRRK2. However, the ABEs created 14 clones (26.4%) with off-target missense mutations (Table 1). The WGS analysis of clones corrected for the c.G6055A (p.G2019S) mutation in LRRK2 did not reveal indels or off-target editing on exon 41, which confirmed that no off-target sites were located within known annotated genes or within genes homologous to the more highly annotated human genome (Fig. 1b). Sanger sequencing of these clones confirmed correction of the mutation in these clones using HDR (Fig. 1c) and ABEs (Fig. 1d). The existence of the pre-designed silent variants in HDR-edited clones confirmed that the targeted region was replaced (Fig. 1b, c). Among the successfully corrected clones without off-target effects or indels, one clone from each editing group, ABE01 and HDR26, was selected for further characterization of PD-related features.
Characterization of HDR- and ABE-corrected LRRK2 p.G2019S iPSCs
To characterize successfully corrected clones, ABE01 and HDR26 were expanded in feeder-free culture. Both clones carried a homozygous wild-type G allele at position 6055 of exon 41 of LRRK2 (Fig. 2a, upper panel). The HDR26 clone had two silent mutations that were introduced by the donor ssODN (Fig. 2a, lower panel). Both ABE01 and HDR26 iPSCs were successfully cultured in an undifferentiated state for more than 35 passages (10 months), formed dome-shaped and dense human embryonic stem cell-like colonies, and expressed the pluripotent stem cell marker OCT4 and TRA-1-81. (A representative image of HDR26 is shown in Fig. 2b.) These iPSC clones demonstrated normal chromosome karyotypes (Fig. 2c) and formed teratomas in nude mice (Fig. 2d). Using a feeder-free, chemically defined, in vitro differentiation protocol, these iPSC clones were differentiated into dopaminergic neurons. Cells expressing neuronal marker TUBB3 were generated following 12 weeks of differentiation, whereas 60–90% of the iPSC-derived neurons expressed the dopaminergic neuronal marker tyrosine hydroxylase (TH) (Fig. 2e, middle panel). The expression levels of TH and TUBB3 among neurons derived from different iPSCs were comparable (Fig. 3a), suggesting the identical efficiencies of neuronal differentiation in different iPSC clones.
Correction of PD phenotypes
The LRRK2 c.G6055A (p.G2019S) mutation significantly increases the kinase activity of LRRK2, leading to increased autophosphorylation, α-synuclein phosphorylation, and dopaminergic neuronal degeneration . To determine whether correction of the LRRK2 c.G6055A (p.G2019S) mutation by genome editing affected the LRRK2 kinase activity, the autophosphorylation site at Ser1292 of LRRK2 was examined . Dopaminergic neurons derived from LRRK2 p.G2019S iPSCs demonstrated elevated phosphorylation at Ser1292 (p-LRRK2/LRRK2: 1.71 ± 0.47), but this autophosphorylation was reduced in those derived from ABE01 (p-LRRK2/LRRK2: 0.29 ± 0.17, P = 0.005 compared to LRRK2 p.G2019S) and HDR26 (p-LRRK2/LRRK2: 0.46 ± 0.23, P = 0.012 compared to LRRK2 p.G2019S, Fig. 3a, b). The elevated expression of total α-synuclein in LRRK2 G2019S iPSC-derived dopaminergic neurons (α-synuclein/TH: 1.78 ± 0.35) was also reduced in those derived from ABE01 (α-synuclein/TH: 0.63 ± 0.13, P = 0.007 compared to LRRK2 p.G2019S) or HDR26 (α-synuclein/TH: 0.89 ± 0.20. P = 0.032 compared to LRRK2 p.G2019S, Fig. 3a, c). The pathological phospho-α-synuclein at Ser129  was also elevated in LRRK2 p.G2019S-derived dopaminergic neurons (p-α-synuclein/α-synuclein: 0.64 ± 0.07), but this phosphorylation was largely reduced in ABE01 (p-α-synuclein/α-synuclein: 0.20 ± 0.08, P = 0.016 compared to LRRK2 p.G2019S) and HDR26-derived dopaminergic neurons (p-α α -synuclein/α-synuclein: 0.14 ± 0.03, P = 0.004 compared to LRRK2 p.G2019S, Fig. 3a, d). The impaired neurite outgrowth of LRRK2 p.G2019S iPSC-derived dopaminergic neurons (196.95 ± 49.84 μm) was also restored in those derived from ABE01 (424.92 ± 132.42 μm, P < 0.001 compared to LRRK2 p.G2019S) and HDR26 (500.60 ± 69.61 μm, P < 0.001 compared to LRRK2 p.G2019S, Fig. 4a, b). The caspase 3 activity in LRRK2 G2019S iPSC-derived dopaminergic neurons was elevated (fold change: 3.16 ± 0.12), supporting the previous findings that LRRK2 c.G6055A (p.G2019S) mutation promotes neuronal apoptosis [7, 9]. The mutation-corrected ABE01 (fold change: 0.97 ± 0.02, P < 0.001 compared to LRRK2 p.G2019S) and HDR26 iPSC-derived dopaminergic neurons (fold change: 1.35 ± 0.02, P < 0.001 compared to LRRK2 p.G2019S) showed reduced caspase 3 activity (Fig. 4c). Thus, the pathological hallmarks of LRRK2-parkinsonism, including increased LRRK2 kinase activity, aberrant α-synuclein expression and phosphorylation, impaired neurite outgrowth, and increased apoptosis in dopaminergic neurons carrying the LRRK2 c.G6055A (p.G2019S) mutation, were significantly mitigated by genomic editing using ABEs or HDR.
Characterization of mutation-corrected isogenic iPSCs using transcriptomic analysis
Among the successfully corrected clones from HDR without off-target effects or indels, three independent clones were characterized (Table 1). To examine transcriptome-level differences in iPSCs from a normal control participant, iPSCs derived from a patient carrying the LRRK2 c.T6035C (p.I2012T) mutation , LRRK2 p.G2019S iPSCs, and the HDR-corrected iPSCs, RNA sequencing analysis (RNA-Seq) was performed. As shown in Fig. 5a, principal component analysis (PCA) showed that the iPSCs from a normal control having wild-type (WT) LRRK2 genotype, a patient carrying the LRRK2 c.G6055A (p.G2019S) mutation, and another patient carrying the LRRK2 c.T6035C (p.I2012T) mutation randomly clustered into three distinct transcriptome groups. Unexpectedly, three mutation-corrected isogenic iPSC clones (HDR07, HDR26, and HDR0735) without off-target editing or indels analyzed by WGS shared a common transcriptome with LRRK2 p.G2019S iPSCs, but it was distinct from the WT iPSCs, supporting that the isogenic cell lines generated by the gene editing system serve as better control cell lines than iPSCs derived from unrelated healthy control participants. These findings reveal using isogenic cells with mutation correction could reduce the biological variances arising from individuals in different genetic backgrounds. In agreement with the PCA, heat map and hierarchical clustering based on 1,547 selected genes from the WT and mutant iPSCs showed a close correlation between parental LRRK2 p.G2019S iPSCs and mutation-corrected clone (HDR07, HDR26, and HDR35) iPSCs, rather than the WT control iPSCs derived from an unrelated healthy control individual (Fig. 5b).
To further determine the different gene expression between parental LRRK2 p.G2019S iPSCs and three isogenic mutation-corrected iPSC lines, more than 17,000 genes were significantly differentially expressed with an absolute fold change ≥ 1.0 for three comparisons: LRRK2 p.G2019 iPSCs vs. HDR07 iPSCs (Fig. 5c), LRRK2 p.G2019 iPSCs vs. HDR26 iPSCs (Fig. 5d), and LRRK2 p.G2019 iPSCs vs. HDR35 iPSCs (Fig. 5e). The expressions varied between LRRK2 p.G2019S iPSCs and mutation-corrected iPSCs in two genes, SPOCK3 and PIWIL2, which were down-regulated in LRRK2 p.G2019S iPSCs (Fig. 5c). SPOCK3 was also identified in the comparison of LRRK2 p.G2019S iPSCs and HDR26 (Fig. 5d), as well as HDR35 (Fig. 5e).
Comparative proteomic analysis of mutation-corrected isogenic iPSCs
Although the gene expression was modestly indistinguishable between LRRK2 p.G2019S iPSCs and mutation-corrected iPSCs, differentiated neurons exhibited significant alterations in neuropathology, suggesting the presence of an alternative regulatory mechanism for tuning cellular processes after transcription. Supporting this notion, microRNAs (miRNAs), which repress gene expression by regulating the degradation and translation of specific messenger RNAs (mRNAs), have already been implicated in the pathogenesis of PD . To gain more insights into the disease mechanisms in the post-transcriptional level, LRRK2 p.G2019S iPSCs and corrected HDR07, HDR26, and HDR35 iPSCs, which have a minimal difference in genetic background, were subjected to mass spectrometer (MS)-based label-free quantitative proteomics analysis. A total of 6,469 protein groups were identified at an FDR of 1% at both the peptide and protein levels. Among 5,288 quantified proteins, 583 proteins were significantly up-regulated and 375 proteins significantly down-regulated in LRRK2 G2019S iPSCs (Fig. 6a).
Pathway enrichment showed that cellular metabolism was apparently different in mutation-corrected isogenic control iPSCs than parental LRRK2 p.G2019S iPSCs. LRRK2 p.G2019S iPSCs were prone to use carbohydrates for cellular energy, while the fatty acid metabolism was higher in mutation-corrected iPSCs (Fig. 6b, empty bars). These observations were in line with the clinical studies showing reduced fatty acid metabolism in plasma from patients with PD . In addition, peroxisome proliferator-activated receptor (PPAR) signaling pathway, a lipid sensor , was consistently elevated in mutation-corrected iPSCs. The activation of PPAR signaling also increases mitochondrial biogenesis, anti-apoptosis effects, and antioxidant defenses . Furthermore, several PPAR agonists have been shown to exert neuroprotective activity in neurodegenerative disorders, including Alzheimer’s disease (AD), PD, and amyotrophic lateral sclerosis [42, 43]. On the other hand, greater oxidative phosphorylation was found in parental LRRK2 p.G2019S iPSCs, which may generate excess reactive oxygen species, damaging proteins, and organelles and contributing to PD. As expected, the PD-related pathways were over-represented as the top one pathway in the LRRK2 p.G2019S iPSCs. Further analysis of proteins involved in PD pathways showed that, in addition to oxidative phosphorylation, ubiquitination was also highly activated in LRRK2 p.G2019S iPSCs (Fig. 6c). In contrast, proteasome degradation and synaptic vesicle trafficking were suppressed in the LRRK2 p.G2019S iPSCs.
Taken together, these findings from comparative proteomic analysis suggest that the protein expression profiles of the mutation-corrected isogenic iPSCs were largely different from parental LRRK2 p.G2019S iPSCs. While increased oxidative phosphorylation and ubiquitination as well as decreased proteasome degradation and synaptic vesicle trafficking pathways were observed in LRRK2 p.G2019S iPSCs, the elevation of the peroxisome PPAR pathway and fatty acid metabolism was noted in mutation-corrected isogenic iPSCs.
The results of this study demonstrated correction of the most prevalent mutation underlying familial and sporadic PD, LRRK2 p.G2019S, using CRISPR/Cas9-based HDR and ABEs. In patient-derived iPSCs carrying the LRRK2 p.G2019S mutation, ABEs efficiently corrected the pathogenic allele with a higher correction rate and lower off-target and indel rate than CRISPR/Cas9-based HDR. The dopaminergic neurons derived from the isogenic clones corrected by ABEs or HDR had a substantial reduction in the abnormally increased LRRK2 kinase activity, α-synuclein expression and phosphorylation, and mitigated neurite degeneration and apoptosis. Comparative transcriptomic and proteomic analysis of the mutant line identified several differentially expressed protein pathways compared to the isogenic controls, including cellular fatty acid metabolism and PPAR signaling, which are potential novel targets relevant to the pathophysiology of PD.
In the current study, HDR-mediated editing generated deletions in 27 of 47 clones (57.4%) and only 3 of 47 clones (6.4%) were on-target edited. These results confirm previous findings that HDR-mediated gene targeting is prone to create off-target editing and indels. Although HDR can be harnessed to insert a specific DNA template for precise correction of the mutation, this mechanism has low efficiency in nondividing cells, e.g., iPSCs and neurons [44,45,46]. Previous reports demonstrated a 2–5% efficiency of HDR after creating DSBs in iPSCs or embryonic stem cells [47, 48]. On the other hand, the ABEs had a higher on-target correction rate (24.5%) compared to HDR-mediated editing and no indels were detected. The on-target correction rate by ABEs in iPSCs is comparable to its editing efficiency in other cell types, which showed a high on-target editing efficiency (32%-60%) in HEK293T and U2OS cells . The activity window of ABE7.10 is from protospacer position 4 to 7, counting the protospacer-adjacent motif at position 21–23 . It is possible that ABEs act on DNA at off-target loci that contain an adenine base positioned in the activity window of the editor. This off-target editing within the active window occurs in less than 5% of HEK293T cells . However, 11 of 53 clones (20.75%) that had these off-target sites within the active window were identified. Furthermore, 3 clones (5.67%) presented proximal off-target editing, which occurs near the target locus but outside the active window. WGS of the selected clones also demonstrated more distant off-target editing effects. Thus, ABEs result in a more favorable mutation correction rate in iPSCs compared to HDR, without indels, though there is a considerable off-target editing rate.
The gain-of-function LRRK2 p.G2019S mutation causes abnormal accumulation of α-synuclein , impaired neurite outgrowth , and increased caspase 3 activity [7, 9] in iPSC-derived dopaminergic neurons. The elevated phosphorylation at Ser1292 of LRRK2, a known marker of active kinase autophosphorylation , in dopaminergic neurons derived from LRRK2 p.G2019S iPSCs was also observed in the current study. The other disease phenotypes, including increased α-synuclein phosphorylation at Ser129 and α-synuclein accumulation, and impaired neurite outgrowth, were also recapitulated by the dopaminergic neurons derived from LRRK2 p.G2019S iPSCs. Although the expression of TH was not significantly down-regulated in the dopaminergic neurons derived from LRRK2 p.G2019S iPSCs, the increase in caspase 3 activities further indicates that these neurons were particularly prone to degenerate . ABE- and HDR-mediated genomic correction rescued these disease-related phenotypes in morphology and protein expression in dopaminergic neurons. This validates the potential applicability of genome editing to mitigate the neurodegenerative processes in PD. Further characterization on neurophysiological and functional phenotypes, such as the neuronal firing rate and the number of active channels, will be warranted.
The comparative transcriptomic analysis between LRRK2 p.G2019S iPSCs and mutation-corrected isogenic controls or iPSCs from an independent healthy participant showed clear separation of the LRRK2 p.G2019S iPSCs and three isogenic mutation-corrected iPSC clones. Among the genes differentially expressed between LRRK2 p.G2019S cells and the three isogenic controls, SPOCK3 and PIWIL2 were down-regulated in the LRRK2 p.G2019S iPSCs. SPOCK3 encodes a protein that participates in inhibiting matrix metalloproteinases (MMPs) involved in degradation of the extracellular matrix. SPOCK3 has also been shown to be up-regulated in astrocytes with aging in AD mice . In addition, the expression of SPOCK3 is significantly enriched in PD mice after L-DOPA treatment . The role of SPOCK3 in relation to LRRK2 mutation-related PD pathophysiology needs to be explored in future studies. In addition, PIWIL2 exhibits reduced transcription in LRRK2 p.G2019S iPSCs. PIWIL2 is involved in the biogenesis of PIWI-interacting RNAs (piRNAs) . A high number of piRNAs are differentially regulated in several cell types derived from patients with PD, including fibroblasts, iPSCs, and cell lines differentiated into midbrain neurons. Notably, previous studies have described deregulated piRNA expression in AD, emphasizing the relevance of piRNAs to the neurodegeneration process . It would be valuable to investigate the role of PIWIL2 in PD, as it may provide relevant novel insights into the epigenetic landscape of PD regulated by small RNAs and elucidate novel disease mechanisms. Further proteomic analyses compared the differentiated dopaminergic neurons from LRRK2 G2019S iPSCs and corrected-isogenic iPSCs and found that oxidative phosphorylation and ubiquitination are highly activated in the LRRK2 p.G2019S neurons. In contrast, proteasome degradation and synaptic vesicle trafficking were obviously suppressed in the LRRK2 p.G2019S cells. Both oxidative phosphorylation and decreased proteasome degradation cause α-synuclein accumulation and promote apoptosis, which are known pathways in PD . In addition, energy metabolism, focusing on fatty acid metabolism, as well as synaptic PPAR pathways is altered in LRRK2 p.G2019S neurons compared to the isogenic control clones. These results provide further mechanistic insights into identification of potential novel targets relevant to the pathophysiology of PD.
In summary, the current study showed that ABEs have greater efficiency, lower indel, and off-target rates than CRISPR/Cas9-based HDR in correcting the most prevalent PD mutation, LRRK2 p.G2019S. Successful correction of this missense gain-of-function mutation mitigated neuropathological hallmarks of PD. Thus, the corrected isogenic cells could provide an ideal control for investigating potential novel targets relevant to the pathophysiology of PD. These results envision that genome editing, especially ABE, could have a promising potential to directly correct the pathogenic mutation in patients with PD in the future.
Availability of data and materials
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Clustered regularly interspaced short palindromic repeat
CRISPR-associated protein 9
Induced pluripotent stem cells
Leucine-rich repeat kinase 2
Nonhomologous end joining
Insertions and deletions
Adenine base editors
Lang AE, Lozano AM. Parkinson’s disease. First of two parts. N Engl J Med. 1998;339(15):1044–53.
Lunati A, Lesage S, Brice A. The genetic landscape of Parkinson’s disease. Rev Neurol (Paris). 2018;174(9):628–43.
Paisan-Ruiz C, Jain S, Evans EW, Gilks WP, Simon J, van der Brug M, et al. Cloning of the gene containing mutations that cause PARK8-linked Parkinson’s disease. Neuron. 2004;44(4):595–600.
Zimprich A, Biskup S, Leitner P, Lichtner P, Farrer M, Lincoln S, et al. Mutations in LRRK2 cause autosomal-dominant parkinsonism with pleomorphic pathology. Neuron. 2004;44(4):601–7.
Bardien S, Lesage S, Brice A, Carr J. Genetic characteristics of leucine-rich repeat kinase 2 (LRRK2) associated Parkinson’s disease. Parkinsonism Relat Disord. 2011;17(7):501–8.
West AB, Moore DJ, Biskup S, Bugayenko A, Smith WW, Ross CA, et al. Parkinson’s disease-associated mutations in leucine-rich repeat kinase 2 augment kinase activity. Proc Natl Acad Sci USA. 2005;102(46):16842–7.
Nguyen HN, Byers B, Cord B, Shcheglovitov A, Byrne J, Gujar P, et al. LRRK2 mutant iPSC-derived DA neurons demonstrate increased susceptibility to oxidative stress. Cell Stem Cell. 2011;8(3):267–80.
Reinhardt P, Schmid B, Burbulla LF, Schondorf DC, Wagner L, Glatza M, et al. Genetic correction of a LRRK2 mutation in human iPSCs links parkinsonian neurodegeneration to ERK-dependent changes in gene expression. Cell Stem Cell. 2013;12(3):354–67.
Kim H, Park HJ, Choi H, Chang Y, Park H, Shin J, et al. Modeling G2019S-LRRK2 sporadic Parkinson’s disease in 3D midbrain organoids. Stem Cell Rep. 2019;12(3):518–31.
Borgs L, Peyre E, Alix P, Hanon K, Grobarczyk B, Godin JD, et al. Dopaminergic neurons differentiating from LRRK2 G2019S induced pluripotent stem cells show early neuritic branching defects. Sci Rep. 2016;6(1):33377.
Berwick DC, Heaton GR, Azeggagh S, Harvey K. LRRK2 Biology from structure to dysfunction: research progresses, but the themes remain the same. Mol Neurodegener. 2019;14(1):49.
Wallings RL, Tansey MG. LRRK2 regulation of immune-pathways and inflammatory disease. Biochem Soc Trans. 2019;47(6):1581–95.
Tolosa E, Vila M, Klein C, Rascol O. LRRK2 in Parkinson disease: challenges of clinical trials. Nat Rev Neurol. 2020;16(2):97–107.
Herzig MC, Kolly C, Persohn E, Theil D, Schweizer T, Hafner T, et al. LRRK2 protein levels are determined by kinase function and are crucial for kidney and lung homeostasis in mice. Hum Mol Genet. 2011;20(21):4209–23.
Doudna JA, Charpentier E. Genome editing. The new frontier of genome engineering with CRISPR-Cas9. Science. 2014;346(6213):1258096.
Sanders LH, Laganiere J, Cooper O, Mak SK, Vu BJ, Huang YA, et al. LRRK2 mutations cause mitochondrial DNA damage in iPSC-derived neural cells from Parkinson’s disease patients: reversal by gene correction. Neurobiol Dis. 2014;62:381–6.
Sander JD, Joung JK. CRISPR-Cas systems for editing, regulating and targeting genomes. Nat Biotechnol. 2014;32(4):347–55.
Gaudelli NM, Komor AC, Rees HA, Packer MS, Badran AH, Bryson DI, et al. Programmable base editing of A*T to G*C in genomic DNA without DNA cleavage. Nature. 2017;551(7681):464–71.
Cox DBT, Gootenberg JS, Abudayyeh OO, Franklin B, Kellner MJ, Joung J, et al. RNA editing with CRISPR-Cas13. Science. 2017;358(6366):1019–27.
Komor AC, Zhao KT, Packer MS, Gaudelli NM, Waterbury AL, Koblan LW, et al. Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T: A base editors with higher efficiency and product purity. Sci Adv. 2017;3(8):eaao4774.
Fujii W, Ito H, Kanke T, Ikeda A, Sugiura K, Naito K. Generation of genetically modified mice using SpCas9-NG engineered nuclease. Sci Rep. 2019;9(1):12878.
Huang S, Liao Z, Li X, Liu Z, Li G, Li J, et al. Developing ABEmax-NG with precise targeting and expanded editing scope to model pathogenic splice site mutations in vivo. iScience. 2019;15:640–8.
Srivastava M, Nambiar M, Sharma S, Karki SS, Goldsmith G, Hegde M, et al. An inhibitor of nonhomologous end-joining abrogates double-strand break repair and impedes cancer progression. Cell. 2012;151(7):1474–87.
Jayathilaka K, Sheridan SD, Bold TD, Bochenska K, Logan HL, Weichselbaum RR, et al. A chemical compound that stimulates the human homologous recombination protein RAD51. Proc Natl Acad Sci USA. 2008;105(41):15848–53.
Chambers SM, Fasano CA, Papapetrou EP, Tomishima M, Sadelain M, Studer L. Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling. Nat Biotechnol. 2009;27(3):275–80.
Du Y, Bales KR, Dodel RC, Hamilton-Byrd E, Horn JW, Czilli DL, et al. Activation of a caspase 3-related cysteine protease is required for glutamate-mediated apoptosis of cultured cerebellar granule neurons. Proc Natl Acad Sci USA. 1997;94(21):11657–62.
Ewels P, Magnusson M, Lundin S, Kaller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32(19):3047–8.
Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20.
Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12(4):357–60.
Sahraeian SME, Mohiyuddin M, Sebra R, Tilgner H, Afshar PT, Au KF, et al. Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis. Nat Commun. 2017;8(1):59.
Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30(7):923–30.
Potel CM, Lin MH, Heck AJR, Lemeer S. Widespread bacterial protein histidine phosphorylation revealed by mass spectrometry-based proteomics. Nat Methods. 2018;15(3):187–90.
Rappsilber J, Mann M, Ishihama Y. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat Protoc. 2007;2(8):1896–906.
Tyanova S, Temu T, Sinitcyn P, Carlson A, Hein MY, Geiger T, et al. The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat Methods. 2016;13(9):731–40.
Moriya Y, Kawano S, Okuda S, Watanabe Y, Matsumoto M, Takami T, et al. The jPOST environment: an integrated proteomics data repository and database. Nucleic Acids Res. 2019;47(D1):D1218–24.
Kluss JH, Conti MM, Kaganovich A, Beilina A, Melrose HL, Cookson MR, et al. Detection of endogenous S1292 LRRK2 autophosphorylation in mouse tissue as a readout for kinase activity. NPJ Parkinsons Dis. 2018;4(1):13.
Samuel F, Flavin WP, Iqbal S, Pacelli C, Sri Renganathan SD, Trudeau L-E, et al. Effects of serine 129 phosphorylation on α-synuclein aggregation, membrane association, and internalization*. J Biol Chem. 2016;291(9):4374–85.
Lin CH, Cheng YC, Lin HI, Ho MC, Hsu YH, Wen CH, et al. Generation of induced pluripotent stem cells from a patient with Parkinson’s disease carrying LRRK2 p.I2012T mutation. Stem Cell Res. 2017;25:123–7.
Kim J, Bartel DP. Allelic imbalance sequencing reveals that single-nucleotide polymorphisms frequently alter microRNA-directed repression. Nat Biotechnol. 2009;27(5):472–7.
Shao Y, Li T, Liu Z, Wang X, Xu X, Li S, et al. Comprehensive metabolic profiling of Parkinson’s disease by liquid chromatography-mass spectrometry. Mol Neurodegener. 2021;16(1):4.
Corona JC, Duchen MR. PPARgamma as a therapeutic target to rescue mitochondrial function in neurological disease. Free Radic Biol Med. 2016;100:153–63.
Mandrekar-Colucci S, Sauerbeck A, Popovich PG, McTigue DM. PPAR agonists as therapeutics for CNS trauma and neurological diseases. ASN Neuro. 2013;5(5):e00129.
Chaturvedi RK, Beal MF. PPAR: a therapeutic target in Parkinson’s disease. J Neurochem. 2008;106(2):506–18.
Bollen Y, Post J, Koo BK, Snippert HJG. How to create state-of-the-art genetic model systems: strategies for optimal CRISPR-mediated genome editing. Nucleic Acids Res. 2018;46(13):6435–54.
Mao Z, Bozzella M, Seluanov A, Gorbunova V. Comparison of nonhomologous end joining and homologous recombination in human cells. DNA Repair (Amst). 2008;7(10):1765–71.
Song F, Stieger K. Optimizing the DNA donor template for homology-directed repair of double-strand breaks. Mol Ther Nucleic Acids. 2017;7:53–60.
Byrne SM, Ortiz L, Mali P, Aach J, Church GM. Multi-kilobase homozygous targeted gene replacement in human induced pluripotent stem cells. Nucleic Acids Res. 2015;43(3):e21.
He X, Tan C, Wang F, Wang Y, Zhou R, Cui D, et al. Knock-in of large reporter genes in human cells via CRISPR/Cas9-induced homology-dependent and independent DNA repair. Nucleic Acids Res. 2016;44(9):e85.
Hartmann A, Hunot S, Michel PP, Muriel MP, Vyas S, Faucheux BA, et al. Caspase-3: a vulnerability factor and final effector in apoptotic death of dopaminergic neurons in Parkinson’s disease. Proc Natl Acad Sci USA. 2000;97(6):2875–80.
Pan J, Ma N, Yu B, Zhang W, Wan J. Transcriptomic profiling of microglia and astrocytes throughout aging. J Neuroinflammation. 2020;17(1):97.
Charbonnier-Beaupel F, Malerbi M, Alcacer C, Tahiri K, Carpentier W, Wang C, et al. Gene expression analyses identify Narp contribution in the development of L-DOPA-induced dyskinesia. J Neurosci. 2015;35(1):96–111.
Zeng Q, Wan H, Zhao S, Xu H, Tang T, Oware KA, et al. Role of PIWI-interacting RNAs on cell survival: Proliferation, apoptosis, and cycle. IUBMB Life. 2020;72(9):1870–8.
Huang X, Wong G. An old weapon with a new function: PIWI-interacting RNAs in neurodegenerative diseases. Transl Neurodegener. 2021;10(1):9.
Puspita L, Chung SY, Shim JW. Oxidative stress and cellular pathologies in Parkinson’s disease. Mol Brain. 2017;10(1):53.
We thank all of the patients who participated in this study and are grateful to the following organizations for their financial support of this work: National Taiwan University Hospital (110-S4842, 108-S4354, and 107-T14), Chang Gung Medical Foundation (CMRPG3H0981-2), Academia Sinica (IBMS-CRC110-P02), and the Ministry of Science and Technology (MOST 108-2321-B-002-060-MY2, 108-2628-B-182 -003, 109-2628-B-182 -013, and 109-2636-B-002 -014). We also thank the staff of the Center for Clinical Trial of National Taiwan University Hospital and the Second Core Lab, Department of Medical Research, National Taiwan University Hospital, for technical support during the study.
We are grateful to the following organizations for their financial support of this work: National Taiwan University Hospital (110-S4842, 108-S4354, and 107-T14), Chang Gung Medical Foundation (CMRPG3H0981-2), Academia Sinica (IBMS-CRC110-P02), and the Ministry of Science and Technology (MOST 108-2321-B-002-060-MY2, 108-2628-B-182-003, 109-2628-B-182-013,109-2636-B-002-014, and MOST 110-2314-B-002-150-MY3).
Ethics approval and consent to participate
The collection of clinical information and venous blood from the healthy volunteer was approved by the Institutional Review Board of Chang Gung Memorial Hospital (201800469B0) and National Taiwan University Hospital (201907114RINB). Informed consent was obtained from all participants.
Consent for publication
There is no identifiable information from all participants.
All authors report no conflicts of interest and have no relevant financial disclosures relevant to the manuscript.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Chang, KH., Huang, CY., Ou-Yang, CH. et al. In vitro genome editing rescues parkinsonism phenotypes in induced pluripotent stem cells-derived dopaminergic neurons carrying LRRK2 p.G2019S mutation. Stem Cell Res Ther 12, 508 (2021). https://doi.org/10.1186/s13287-021-02585-2
- Parkinson’s disease
- Induced pluripotent stem cells
- Genome editing
- Base editing