This study reports a novel approach to measure multiple mitochondrial functional parameters based on flow cytometry and double staining with two fluorescent reporters or antibodies to detect changes in mitochondrial volume, mitochondrial membrane potential, reactive oxygen species level, mitochondrial respiratory chain composition, and mitochondrial DNA.
Mitochondria are important in the pathophysiology of many neurodegenerative diseases. Changes in mitochondrial volume, mitochondrial membrane potential (MMP), mitochondrial production of reactive oxygen species (ROS), and mitochondrial DNA (mtDNA) copy number are often features of these processes. This report details a novel flow cytometry-based approach to measure multiple mitochondrial parameters in different cell types, including human induced pluripotent stem cells (iPSCs) and iPSC-derived neural and glial cells. This flow-based strategy uses live cells to measure mitochondrial volume, MMP, and ROS levels, as well as fixed cells to estimate components of the mitochondrial respiratory chain (MRC) and mtDNA-associated proteins such as mitochondrial transcription factor A (TFAM).
By co-staining with fluorescent reporters, including MitoTracker Green (MTG), tetramethylrhodamine ethyl ester (TMRE), and MitoSox Red, changes in mitochondrial volume, MMP, and mitochondrial ROS can be quantified and related to mitochondrial content. Double staining with antibodies against MRC complex subunits and translocase of outer mitochondrial membrane 20 (TOMM20) permits the assessment of MRC subunit expression. As the amount of TFAM is proportional to mtDNA copy number, the measurement of TFAM per TOMM20 gives an indirect measurement of mtDNA per mitochondrial volume. The entire protocol can be carried out within 2-3 h. Importantly, these protocols allow the measurement of mitochondrial parameters, both at the total level and the specific level per mitochondrial volume, using flow cytometry.
Mitochondria are essential organelles present in almost all eukaryotic cells. Mitochondria are responsible for energy supply by producing adenosine triphosphate (ATP) via oxidative phosphorylation and act as metabolic intermediaries for biosynthesis and metabolism. Mitochondria are deeply involved in many other important cellular processes, such as ROS generation, cell death, and intracellular Ca2+ regulation. Mitochondrial dysfunction has been associated with various neurodegenerative diseases, including Parkinson's disease (PD), Alzheimer's disease (AD), Huntington's disease (HD), Friedreich's ataxia (FRDA), and amyotrophic lateral sclerosis (ALS)1. Increased mitochondrial dysfunction and mtDNA abnormality are also thought to contribute to human aging2,3.
Various types of mitochondrial dysfunction occur in neurodegenerative diseases, and changes in mitochondrial volume, MMP depolarization, production of ROS, and alterations in mtDNA copy number are common4,5,6,7. Therefore, the ability to measure these and other mitochondrial functions is of great importance when studying disease mechanisms and testing potential therapeutic agents. Moreover, in view of the lack of animal models that faithfully replicate human neurodegenerative diseases, establishing suitable in vitro model systems that recapitulate the human disease in brain cells is an important step towards a greater understanding of these diseases and the development of new therapies2,3,8,9.
Human iPSCs can be used to generate various brain cells, including neuronal and non-neuronal cells (i.e., glial cells), and mitochondrial damage associated with neurodegenerative disease has been found in both cell types3,10,11,12,13. Appropriate methods for iPSC differentiation into neural and glial lineages are available14,15,16. These cells provide a unique human/patient platform for in vitro disease modeling and drug screening. Further, as these are derived from patients, iPSC-derived neurons and glial cells provide disease models that reflect what is happening in humans more accurately.
To date, few convenient and reliable methods for measuring multiple mitochondrial functional parameters in iPSCs, particularly living neurons and glial cells, are available. The use of flow cytometry provides the scientist with a powerful tool for measuring biological parameters, including mitochondrial function, in single cells. This protocol provides details for the generation of different types of brain cells, including neural stem cells (NSCs), neurons, and glial astrocytes from iPSCs, as well as novel flow cytometry-based approaches to measure multiple mitochondrial parameters in different cell types, including iPSCs and iPSC-derived neural and glial cells. The protocol also provides a co-staining strategy for using flow cytometry to measure mitochondrial volume, MMP, mitochondrial ROS level, MRC complexes, and TFAM. By incorporating measures of mitochondrial volume or mass, these protocols also allow the measurement of both total level and specific level per mitochondrial unit.
NOTE: See the Table of Materials and the Supplemental Table S1 for recipes of all media and solutions used in this protocol.
1. Differentiation of human iPSCs into NCSs, dopaminergic (DA) neurons, and astrocytes
2. Cell characterization by immunocytochemistry and immunofluorescence staining
3. Flow cytometry measurement of mitochondrial volume, MMP, and mitochondrial ROS in live cells
4. Flow cytometry measurement of MRC complex subunits and TFAM in fixed cells
5. Flow cytometry acquisition and analysis
A schematic description of the differentiation method and flow cytometric strategies is shown in Figure 3. Human iPSCs are differentiated into neural rosettes and then lifted into suspension culture for differentiation into neural spheres. Neural spheres are further differentiated and matured into DA neurons. Neural spheres are dissociated into single cells to generate glial astrocytes, replated in monolayers as NSCs, and then differentiated into astrocytes. This protocol provides the strategies needed for acquiring and analyzing the samples by flow cytometry for the measurement of MMP, mitochondrial volume, mitochondrial ROS levels, expression levels of MRC complex subunits and TFAM (an indirect measurement of relative mtDNA copy number). Specifically, co-staining with fluorescent reporters, TMRE and MTG, was used to detect and quantify changes in MMP and mitochondrial volume. Co-staining with MitoSox Red and MTG permits measurement of mitochondrial ROS production in live cells. Staining with antibodies against MRC complex subunits together with TOMM20 permits the assessment of the MRC and staining of TFAM and TOMM20 for indirect assessment of mtDNA copy number. Importantly, MTG and TOMM20 allow the measurement per mitochondrial volume, counteracting the influence of mitochondrial volume on these parameters.
DA neurons are generated from iPSCs through dual SMAD inhibition and exposed to FGF-8b and the Sonic hedgehog (SHH) agonist PM, as shown in Figure 4A. Human iPSCs are seeded in iPSC culture medium on matrix-coated plates. When the cells reach 50%-80% confluency, the medium is changed to NIM using a CDM supplemented with SB431542, AMPK inhibitor, Compound C, and N-acetylcysteine for 5 days. After 5 days, the iPSCs (Figure 4B, a) progress to a neural epithelial stage exhibiting clear neural rosette structures (Figure 4B, b). On day 5, neural spheres are generated by lifting the neural epithelium into suspension culture and culturing them in NSC SF medium on an orbital shaker inside the incubator. Round, well-defined spheres are shown in Figure 4B, c. On day 7, the medium is changed into CDM supplemented with 100 ng/mL FGF-8b. On day 14, the medium is changed into the CDM supplemented with 100 ng/mL FGF-8b and 1 µM PM. On day 21, the spheres are dissociated into DA neurons in a monolayer by dissociating them into single cells and culturing them in CDM supplemented with 10 ng/mL BDNF and 10 ng/mL GDNF in PLO and laminin-coated plates/coverslips. Neurons (Figure 4B, e) matured for 15-30 days are further used for mitochondrial functional measurements.
NSCs are produced by dissociating neural spheres into single cells and then replating them in monolayers to generate astrocytes. These NSCs show a classic neural progenitor appearance (Figure 4B, d). NSCs at this stage can readily be expanded and banked for further use. To initiate the astrocyte differentiation, NSCs are plated on PDL-coated coverslips in NSC SF medium. The following day, the medium is changed into astrocyte differentiation medium for 28 days. After 28 days, the differentiated astrocytes are further matured in astrocyte maturation medium. At this stage, astrocytes should display star-shaped morphology (Figure 4B, f), and these cells can be expanded and banked for further use, including mitochondrial functional assessment.
During differentiation, cell identity is confirmed using immunofluorescence staining. In Figure 5A, immunostaining shows that the iPSCs express the specific pluripotent markers, SSEA4 and Oct4. Figure 5B shows that neural spheres exhibit positive staining of Nestin and Pax6, while Figure 5C shows that iPSC-derived NSCs in monolayers exhibit positive staining of Nestin and Sox2. To identify DA neurons, cells are stained with the neural marker β III Tubulin (Tuj 1) and the DA neuronal marker tyrosine hydroxylase (TH) (Figure 6B). In addition, DA neurons show staining for the synaptic markers, synaptophysin and PSD-95, confirming their functional synaptic connections (Figure 5B). Immunostaining of iPSC-derived astrocytes shows the expression of the astrocyte markers, glial fibrillary acidic protein (GFAP) and S100 calcium-binding protein β (S100β).
The investigation of mitochondrial function in differentiated neurons and astrocytes using flow cytometry is performed as described above in protocol sections 3 and 4. A flow cytometer was used for data acquisition and CFlow Sampler for data analysis, as shown in Figure 1B.
Figure 2 demonstrates the method for gating live single cells. Dead cells and cell debris are excluded using an FSC vs. SSC plot (Figure 2A, a). Cell doublets are excluded using an FSC-H vs. FSC-A plot (Figure 2A, b) followed by an SSC-H vs. SSC-A plot (Figure 2A, c). Background fluorescence is properly assessed if the negative population of a particular cell type is compared with the positive population within that same cell type (Figure 2B, a). For MMP samples, treating the cells with FCCP eliminates interference from mitochondrial membrane potential and TMRE staining (Figure 2B, b).
These flow cytometric approaches have been used to study DA neurons generated from the human iPSCs carrying mutation(s) in the catalytic subunit of mitochondrial DNA polymerase, POLG (W748S), and compare them with disease-free samples generated from Detroit 551 fibroblasts. As reported previously4, this study also demonstrated decreased MMP and increased specific mitochondrial ROS levels in POLG DA neurons (Figure 7). However, the mitochondrial volume, total MMP, and total mitochondrial ROS level were unchanged. In Figure 8, the results show a decrease in the specific complex I levels, lower total and specific TFAM levels, but similar specific complex II levels in mutant DA neurons compared to controls.
This approach was also used to study astrocytes generated from the same iPSC lines. As reported previously7 and shown in Figure 9, the results show that POLG-mutated astrocytes had lower total and specific MMP but similar mitochondrial volume and mitochondrial ROS compared with controls, as well as decreased levels of specific complexes I and IV (Figure 10). However, there were no changes in the total levels of complexes I and IV and no change in the total and specific levels of complex II in POLG astrocytes. Overall, these data suggest that flow cytometric analysis of multiple mitochondrial parameters provides a first-step approximation that is valuable in evaluating mitochondrial function in cells such as iPSCs and their neural and glial derivatives.
Figure 1: Setup for flow cytometry. (A) MMP, mitochondrial volume, and mitochondrial ROS staining; (B) an example of data acquisition in a C6 flow cytometer. Abbreviations: MMP = mitochondrial membrane potential; ROS = reactive oxygen species; FCCP = carbonyl cyanide p-trifluoromethoxyphenylhydrazone; TMRE = tetramethylrhodamine ethyl ester; MTG = MitoTracker Green. Also, see Supplemental Table S2. Please click here to view a larger version of this figure.
Figure 2: Gating strategies. (A) Data acquisition; (B) the histograms of the fluorescence with MTG and TMRE staining in live cells. Abbreviations: SSC-A = side scatter area; FSC-A = forward scatter area; SSC-H = side scatter height; FSC-H = forward scatter height; FL#-A = fluorophore # area; MTG = MitoTracker Green; FCCP = carbonyl cyanide p-trifluoromethoxyphenylhydrazone; TMRE = tetramethylrhodamine ethyl ester. Please click here to view a larger version of this figure.
Figure 3: Schematic representation of the protocol workflow. Abbreviations: DA = dopaminergic; MMP = mitochondrial membrane potential; ROS = reactive oxygen species; NDUFB 10 = NADH: Ubiquinone oxidoreductase subunit 10; SDHA = succinate dehydrogenase complex flavoprotein subunit A; COX IV = cytochrome c oxidase complex IV; mtDNA = mitochondrial DNA; TFAM = mitochondrial transcription factor A. Please click here to view a larger version of this figure.
Figure 4: iPSC differentiation. (A) Flow chart and (B) representative images for the cells from different stages during the differentiation, including iPSCs (a), neural rosette (b), neural spheres (c), NSCs (d), DA neurons (e), and astrocytes (f). Scale bars = 25 µm. Abbreviations: iPSC = induced pluripotent stem cell; NSC = neural stem cell; DA = dopaminergic; SFM = serum-free medium; CDM = chemically defined medium; FGF-8b = fibroblast growth factor-8b; PM = purmorphamine; BDNF = brain-derived neurotrophic factor; GDNF = glial cell line-derived neurotrophic factor; PLO = poly-L-ornithine. Please click here to view a larger version of this figure.
Figure 5: Representative confocal images of iPSCs and their neural derivatives. (A) Immunostaining of SSEA4 (red) and Oct4 (green) in iPSCs. (B) Immunostaining of Nestin (red) and Pax6 (green) in iPSC-derived neuron spheres. (C) Immunostaining of Nestin (red) and Sox2 (green) in iPSC-derived NSCs. Nuclei are stained with DAPI (blue). Scale bars = 50 µm. Abbreviations: iPSCs = induced pluripotent stem cells; NSCs = neural stem cells; SSEA4 = stage-specific embryonic antigen-4; Oct4 = octamer-binding transcription factor 4; Pax6 = paired box-6; Sox2 = sex-determining region Y box-2; DAPI = 4',6-diamidino-2-phenylindole. Please click here to view a larger version of this figure.
Figure 6: Representative confocal images of the iPSC-derived astrocytes and DA neurons. (A) Immunostaining of GFAP (red) and S100β (green) in iPSC-derived astrocytes. (B) Immunostaining of neural lineage marker TH (green), Tuj 1 (red), and neural functional marker Synaptophysin (green) and PSD-95 (red) in iPSC-derived DA neurons. Nuclei are stained with DAPI (blue). Scale bars = 25 µm. Abbreviations: iPSCs = induced pluripotent stem cells; GFAP = glial fibrillary acidic protein; S100β = S100 calcium-binding protein β; Tuj 1 = β III Tubulin; PSD-95 = postsynaptic density protein 95; DA = dopaminergic; DAPI = 4',6-diamidino-2-phenylindole. Please click here to view a larger version of this figure.
Figure 7: Flow cytometric analysis for DA neurons derived from one clone of POLG patient iPSCs and one clone of Detroit 551 control iPSCs. (A) Mitochondrial volume measured by MTG, (B) total MMP measured by TMRE, (C) specific MMP level calculated by total TMRE/MTG, (D) total mitochondrial ROS measured by MitoSox Red, and (E) specific mitochondrial ROS level calculated by total MitoSox Red/MTG. Data presented as mean ± standard error of the mean (SEM) for the number of samples (n ≥ 3 per clone). Data analyzed and produced using GraphPad Prism software. Mann-Whitney U test was used to assess statistical significance for variables. Significance is denoted for P < 0.05. *P < 0.05; ns, not significant. Abbreviations: DA = dopaminergic; POLG = DNA polymerase subunit gamma; iPSCs = induced pluripotent stem cells; MMP = mitochondrial membrane potential; ROS = reactive oxygen species; MTG = MitoTracker Green; TMRE = tetramethylrhodamine ethyl ester. Please click here to view a larger version of this figure.
Figure 8: Flow cytometric analysis for astrocytes derived from one clone of POLG patient iPSCs and one clone of Detroit 551 control iPSCs. (A) Mitochondrial volume measured by MTG, (B) total MMP measured by TMRE, (C) specific MMP level calculated by total TMRE/MTG, (D) total Rmitochondrial ROS S measured by MitoSox Red, and (E) specific mitochondrial ROS level calculated by total MitoSox Red/MTG. Data presented as mean ± standard error of the mean (SEM) for the number of samples (n ≥ 3 per clone). Data analyzed and produced using GraphPad Prism software. Mann-Whitney U test was used to assess statistical significance for variables. Significance is denoted for P < 0.05. *P < 0.05; ns, not significant. Abbreviations: POLG = DNA polymerase subunit gamma; iPSC = induced pluripotent stem cell; MMP = mitochondrial membrane potential; ROS = reactive oxygen species; MTG = MitoTracker Green; TMRE = tetramethylrhodamine ethyl ester. Please click here to view a larger version of this figure.
Figure 9: Flow cytometric analysis for DA neurons derived from one clone of POLG patient iPSCs and one clone of Detroit 551 control iPSCs. (A) Total complex I measured by NDUFB10, (B) specific complex I level calculated by total NDUFB10/TOMM20, (C) total complex II measured by SDHA, (D) specific complex II level calculated by total SDHA/TOMM20, (E) total TFAM measured by TFAM, and (F) specific TFAM level calculated by total TFAM/TOMM20. Data presented as mean ± standard error of the mean (SEM) for the number of samples (n ≥ 3 per clone). Data analyzed and produced using GraphPad Prism software. Mann-Whitney U test used to assess statistical significance for variables. Significance is denoted for P < 0.05. *P < 0.05; ns, not significant. Abbreviations: DA = dopaminergic; POLG = DNA polymerase subunit gamma; iPSC = induced pluripotent stem cell; NDUFB10 = NADH: Ubiquinone oxidoreductase subunit 10; TOMM20 = translocase of outer mitochondrial membrane 20; SDHA = succinate dehydrogenase complex flavoprotein subunit A; TFAM = mitochondrial transcription factor A. Please click here to view a larger version of this figure.
Figure 10: Flow cytometric analysis for astrocytes derived from one clone of POLG patient iPSCs and one clone of Detroit 551 control iPSCs. (A) Total complex I measured by NDUFB10, (B) specific complex I level calculated by total NDUFB10/TOMM20, (C) total complex II measured by SDHA, (D) specific complex II level calculated by total SDHA/TOMM20, (E) total complex IV measured by COX IV, (F) specific complex IV level calculated by COX IV/TOMM20, (G) total TFAM measured by TFAM, and (H) specific TFAM level calculated by total TFAM/TOMM20. Data presented as mean ± standard error of the mean (SEM) for the number of samples (n ≥ 3 per clone). Data analyzed and produced using GraphPad Prism software. Mann-Whitney U test was used to assess statistical significance for variables. Significance is denoted for P < 0.05. *P < 0.05; ** P < 0.01; ns, not significant. Abbreviations: POLG = DNA polymerase subunit gamma; iPSC = induced pluripotent stem cell; NDUFB10 = NADH: Ubiquinone oxidoreductase subunit 10; TOMM20 = translocase of outer mitochondrial membrane 20; SDHA = succinate dehydrogenase complex flavoprotein subunit A; TFAM = mitochondrial transcription factor A; COX IV = cytochrome c oxidase complex IV. Please click here to view a larger version of this figure.
Supplemental Figure S1: Settings of the confocal laser scanning fluorescence microscope and steps for taking images. (A) Choose the Configuration tool and select the correct laser type from Current available laser and set its power. (B) Choose Acquire-Acquisition Mode-SEQ and select the corresponding fluorescence wavelength photo mode from the database. (C) Choose Sequential Scan-Load and import corresponding mode. (D) Choose 40x objective lens and add dropwise. (E) Specific setting parameters for taking photos at different wavelengths. (F) Set photo parameters, preview, and save the photo. Please click here to download this File.
Supplemental Figure S2: Steps and settings for flow cytometry. (A) Open Cflow software, choose the File tool, and select Open CFlow file or template. (B) Set up 40000 events and select the gate containing only the live single cells in the Run Limits panel. Choose Medium speed in the Fluidics panel. (C) Choose FSC-A vs. FSC-A plot (a) for setting up the main gating. Choose FSC-A vs. FSC-H plot (b) and SSC-A vs. SSC-H plot (c) to exclude doublets. Choose the corresponding filters, such as FL1 or FL2, and use FL1-A vs. FSC-A plot (d) or FL2-A vs. FSC-A plot to draw the positive events when running the unstained cells. (D) Set up the same parameters, preview, run the stained samples and save the photo. Also, see Supplemental Table S2. Please click here to download this File.
Supplemental Table S1: Media and solution recipes. Please click here to download this Table.
Supplemental Table S2: Setup for flow cytometric staining. Please click here to download this Table.
Herein are protocols for generating iPSC−derived neurons and astrocytes and evaluating multiple aspects of mitochondrial function using flow cytometry. These protocols allow efficient conversion of human iPSCs into both neurons and glial astrocytes and the detailed characterization of mitochondrial function, mostly in living cells. The protocols also provide a co-staining flow cytometry-based strategy for acquiring and analyzing multiple mitochondrial functions, including volume, MMP, and mitochondrial ROS levels in live cells and MRC complexes and TFAM in fixed cells. Specifically, these protocols permit the estimation of both total and specific levels per mitochondrial volume. While this strategy detects mitochondrial dysfunction in a known mitochondrial disease (POLG) in DA neurons and astrocytes, these techniques are applicable to any type of cell and disease. Moreover, the protocol is robust and reproducible. Several previous studies have successfully applied this protocol to analyze the mitochondrial changes in fibroblasts, iPSCs, NSCs, DA neurons, and astrocytes2,3,13,17.
There are some critical points to consider while executing this protocol. To ensure consistent and high-efficiency differentiation, it is critical to initiate the conversion with high-quality iPSCs (cells containing <5% differentiated cells). Although other commercially available defined media can be valid alternatives, this study did not address the alternatives. As medium composition and clonal differences of iPSC lines can influence both proliferation of the starting cell population and differentiation efficiency, adapting this protocol to other maintenance media will likely require optimization.
The relationship between MTG and MMP fluorescence has been studied previously3. This is important as MTG fluorescence is reported to be both independent of18 and sensitive to MMP19,20. In previous studies in which iPSCs were titrated with different concentrations of TMRE and co-stained with 150 nM MTG, the MTG level remained the same at lower concentrations of TMRE (5-100 nM), whereas a decreased MTG signal was observed for higher TMRE concentrations (over 100 nM). Therefore, 100 nM TMRE and 150 nM MTG were chosen to measure the specific MMP. As this relationship may be cell-specific, the correlation between MTG and MMP fluorescence must be assessed before using MTG and TMRE dual staining to measure MMP.
Cell density can also influence mitochondrial function and cell metabolism. In this study, cell-density-dependent changes in MMP were observed, which has also been shown in other studies21. Therefore, it is important to choose a similar cell density in all samples-not too high or low-to minimize variation when establishing the co-staining protocol for different cell types. Compared with other microscopy-based assays, flow cytometry has the advantages of speed and reproducibility when analyzing large numbers of cells. In the analysis of microscopic images, the bias of researchers will distort the results to a certain extent, which is not a problem when using flow cytometry. In addition, flow cytometry analysis requires less than one million cells, and analysis of one sample only takes a few minutes, which means that dozens of samples can be analyzed in 1-2 h. This technique can also be applied to a wide variety of cell types, including those from other neurodegenerative diseases, and should therefore be useful for understanding mechanisms and testing potential therapeutics in different neurodegenerative diseases.
The authors have nothing to disclose.
We kindly thank the Molecular Imaging Centre and the Flow Cytometry Core Facility at the University of Bergen in Norway. This work was supported by funding from the Norwegian Research Council (Grant number: 229652), Rakel og Otto Kr.Bruuns legat and the China Scholarship Council (project number: 201906220275).
anti-Oct4 | Abcam | ab19857, RRID:AB_445175 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-rabbit IgG (1:400, Thermo Fisher Scientific, Catalog # A-11008) as secondary antibody. |
anti-SSEA4 | Abcam | ab16287, RRID:AB_778073 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 594 goat anti-mouse IgG (1:800, Thermo Fisher Scientific, Catalog # A-11005) as secondary antibody. |
anti-Sox2 | Abcam | ab97959, RRID:AB_2341193 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-rabbit IgG (1:400, Thermo Fisher Scientific, Catalog # A-11008) as secondary antibody. |
anti-Pax6 | Abcam | ab5790, RRID:AB_305110 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-rabbit IgG (1:400, Thermo Fisher Scientific, Catalog # A-11008) as secondary antibody. |
anti-Nestin | Santa Cruz Biotechnology | sc-23927, RRID:AB_627994 | Primary Antibody; use as 1:50, 20 μL in 1000 μL staining solution; use Alexa Fluor ® 594 goat anti-mouse IgG (1:800, Thermo Fisher Scientific, Catalog # A-11005) as secondary antibody. |
anti-GFAP | Abcam | ab4674, RRID:AB_304558 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 594 goat anti-chicken IgG (1:800, Thermo Fisher Scientific, Catalog # A-11042) as secondary antibody. |
anti-S100β conjugated with Alexa Fluor 488 | Abcam | ab196442, RRID:AB_2722596 | Primary Antibody; use as 1:400, 2.5 μL in 1000 μL staining solution; |
anti-TH | Abcam | ab75875, RRID:AB_1310786 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-rabbit IgG (1:400, Thermo Fisher Scientific, Catalog # A-11008) as secondary antibody. |
anti-Tuj 1 | Abcam | ab78078, RRID:AB_2256751 | Primary Antibody; use as 1:1000, 1 μL in 1000 μL staining solution; use Alexa Fluor ® 594 goat anti-mouse IgG (1:800, Thermo Fisher Scientific, Catalog # A-11005) as secondary antibody. |
anti-Synaptophysin | Abcam | ab32127, RRID:AB_2286949 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-rabbit IgG (1:400, Thermo Fisher Scientific, Catalog # A-11008) as secondary antibody. |
anti-PSD-95 | Abcam | ab2723, RRID:AB_303248 | Primary Antibody; use as 1:100, 10 μL in 1000 μL staining solution; use Alexa Fluor ® 594 goat anti-chicken IgG (1:800, Thermo Fisher Scientific, Catalog # A-11042) as secondary antibody. |
anti-TFAM conjugated with Alexa Fluor 488 | Abcam | ab198308 | Primary Antibody; use as 1:400, 2.5 μL in 1000 μL staining solution; use mouse monoclonal IgG2b Alexa Fluor® 488 as an isotype control. |
anti-TOMM20 conjugated with Alexa Fluor 488 | Santa Cruz Biotechnology | Cat# sc-17764 RRID:AB_628381 | Primary Antibody; use as 1:400, 2.5 μL in 1000 μL staining solution; use mouse monoclonal IgG2a Alexa Fluor® 488 as an isotype control. |
anti-NDUFB10 | Abcam | ab196019 | Primary Antibody; use as 1:1000, 1 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-rabbit IgG (1:400, Thermo Fisher Scientific, Catalog # A-11008) as secondary antibody; use rabbit monoclonal IgG as an isotype control. |
anti-SDHA | Abcam | ab137040 | Primary Antibody; use as 1:1000, 1 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-rabbit IgG (1:400, Thermo Fisher Scientific, Catalog # A-11008) as secondary antibody; use rabbit monoclonal IgG as an isotype control. |
anti-COX IV | Abcam | ab14744, RRID:AB_301443 | Primary Antibody; use as 1:1000, 1 μL in 1000 μL staining solution; use Alexa Fluor ® 488 goat anti-mouse IgG (1:400, Thermo Fisher Scientific, Catalog # A-11001) as secondary antibody; use mouse monoclonal IgG as an isotype control. |
Activin A | PeproTech | 120-14E | Astrocyte differentiation medium ingredient |
ABM Basal Medium | Lonza | CC-3187 | Basal medium for astrocyte culture |
AGM SingleQuots Supplement Pack | Lonza | CC-4123 | Supplement for astrocyte culture |
Antibiotic-Antimycotic | Thermo Fisher Scientific | 15240062 | CDM ingredient |
Advanced DMEM/F-12 | Thermo Fisher Scientific | 12634010 | Basal medium for dilute Geltrex |
Bovine Serum Albumin | Europa Bioproducts | EQBAH62-1000 | Blocking agent to prevent non-specific binding of antibodies in immunostaining assays and CDM ingredient |
BDNF | PeproTech | 450-02 | DA neurons medium ingredient |
B-27 Supplement | Thermo Fisher Scientific | 17504044 | Astrocyte differentiation medium ingredient |
BD Accuri C6 Plus Flow Cytometer | BD Biosciences, USA | ||
Chemically Defined Lipid Concentrate | Thermo Fisher Scientific | 11905031 | CDM ingredient |
Collagenase IV | Thermo Fisher Scientific | 17104019 | Reagent for gentle dissociation of human iPSCs |
CCD Microscope Camera Leica DFC3000 G | Leica Microsystems, Germany | ||
Corning non-treated culture dishes | Sigma-Aldrich | CLS430589 | Suspension culture |
DPBS | Thermo Fisher Scientific | 14190250 | Used for a variety of cell culture wash |
DMEM/F-12, GlutaMAX supplement | Thermo Fisher Scientific | 10565018 | Astrocyte differentiation basal Medium |
EDTA | Thermo Fisher Scientific | 15575020 | Reagent for gentle dissociation of human iPSCs |
Essential 8 Basal Medium | Thermo Fisher Scientific | A1516901 | Basal medium for iPSC culture |
Essential 8 Supplement (50X) | Thermo Fisher Scientific | A1517101 | Supplement for iPSC culture |
EGF Recombinant Human Protein | Thermo Fisher Scientific | PHG0314 | Supplement for NSC culture |
FGF-basic (AA 10–155) Recombinant Human Protein | Thermo Fisher Scientific | PHG0024 | Supplement for NSC culture |
Fetal Bovine Serum | Sigma-Aldrich | 12103C | Medium ingredient |
FGF-basic | PeproTech | 100-18B | Astrocyte differentiation medium ingredient |
FCCP | Abcam | ab120081 | Eliminates mitochondrial membrane potential and TMRE staining |
Fluid aspiration system BVC control | Vacuubrand, Germany | ||
Formaldehyde (PFA) 16% | Thermo Fisher Scientific | 28908 | Cell fixation |
Geltrex | Thermo Fisher Scientific | A1413302 | Used for attachment and maintenance of human iPSCs |
GlutaMAX Supplement | Thermo Fisher Scientific | 35050061 | Supplement for NSC culture |
GDNF | Peprotech | 450-10 | DA neurons medium ingredient |
Glycine | Sigma-Aldrich | G8898 | Used for blocking buffer |
Ham's F-12 Nutrient Mix | Thermo Fisher Scientific | 31765027 | Basal medium for CDM |
Heregulin beta-1 human | Sigma-Aldrich | SRP3055 | Astrocyte differentiation medium ingredient |
Hoechst 33342 | Thermo Fisher Scientific | H1399 | Stain the nuclei for confocal image |
Heracell 150i CO2 Incubators | Fisher Scientific, USA | ||
IMDM | Thermo Fisher Scientific | 21980032 | Basal medium for CDM |
Insulin | Roche | 1376497 | CDM ingredient |
InSolution AMPK Inhibitor | Sigma-Aldrich | 171261 | Neural induction medium ingredient |
Insulin-like Growth Factor-I human | Sigma-Aldrich | I3769 | Astrocyte differentiation medium ingredient |
KnockOut DMEM/F-12 medium | Thermo Fisher Scientific | 12660012 | Basal medium for NSC culture |
Laminin | Sigma-Aldrich | L2020 | Promotes attachment and growth of neural cells in vitro |
Leica TCS SP8 STED confocal microscope | Leica Microsystems, Germany | ||
Monothioglycerol | Sigma-Aldrich | M6145 | CDM ingredient |
MitoTracker Green FM | Thermo Fisher Scientific | M7514 | Used for mitochondrial volume indicator |
MitoSox Red | Thermo Fisher Scientific | M36008 | Used for mitochondrial ROS indicator |
N-Acetyl-L-cysteine | Sigma-Aldrich | A7250 | Neural induction medium ingredient |
N-2 Supplement | Thermo Fisher Scientific | 17502048 | Astrocyte differentiation medium ingredient |
Normal goat serum | Thermo Fisher Scientific | PCN5000 | Used for blocking buffer |
Orbital shakers – SSM1 | Stuart Equipment, UK | ||
Poly-L-ornithine solution | Sigma-Aldrich | P4957 | Promotes attachment and growth of neural cells in vitro |
Poly-D-lysine hydrobromide | Sigma-Aldrich | P7405 | Promotes attachment and growth of neural cells in vitro |
Purmorphamine | STEMCELL Technologies | 72204 | Promotes DA neuron differentiation |
ProLong Gold Antifade Mountant | Thermo Fisher Scientific | P36930 | Mounting the coverslip for confocal image |
PBS 1x | Thermo Fisher Scientific | 18912014 | Used for a variety of wash |
Recombinant Human/Mouse FGF-8b Protein | R&D Systems | 423-F8-025/CF | Promotes DA neuron differentiation |
SB 431542 | Tocris Bioscience | TB1614-GMP | Neural Induction Medium ingredient |
StemPro Neural Supplement | Thermo Fisher Scientific | A10508-01 | Supplement for NSCs culture |
TrypLE Express Enzyme | Thermo Fisher Scientific | 12604013 | Cell dissociation reagent |
Transferrin | Roche | 652202 | CDM ingredient |
TRITON X-100 | VWR International | 9002-93-1 | Used for cells permeabilization in immunostaining assays |
TMRE | Abcam | ab113852 | Used for mitochondrial membrane potential staining |
Water Bath Jb Academy Basic Jba5 JBA5 Grant Instruments | Grant Instruments, USA |