| Literature DB >> 34831309 |
Jie Ren1,2,3, Chaoyi Li1,2,3, Mengfei Zhang1,2,3, Huakun Wang1,2,3, Yali Xie3,4, Yu Tang1,2,3,4,5.
Abstract
Limited access to human neurons, especially motor neurons (MNs), was a major challenge for studying neurobiology and neurological diseases. Human pluripotent stem cells (hPSCs) could be induced as neural progenitor cells (NPCs) and further multiple neural subtypes, which provide excellent cellular sources for studying neural development, cell therapy, disease modeling and drug screening. It is thus important to establish robust and highly efficient methods of neural differentiation. Enormous efforts have been dedicated to dissecting key signalings during neural commitment and accordingly establishing reliable differentiation protocols. In this study, we refined a step-by-step strategy for rapid differentiation of hPSCs towards NPCs within merely 18 days, combining the adherent and neurosphere-floating methods, as well as highly efficient generation (~90%) of MNs from NPCs by introducing refined sets of transcription factors for around 21 days. This strategy made use of, and compared, retinoic acid (RA) induction and dual-SMAD pathway inhibition, respectively, for neural induction. Both methods could give rise to highly efficient and complete generation of preservable NPCs, but with different regional identities. Given that the generated NPCs can be differentiated into the majority of excitatory and inhibitory neurons, but hardly MNs, we thus further differentiate NPCs towards MNs by overexpressing refined sets of transcription factors, especially by adding human SOX11, whilst improving a series of differentiation conditions to yield mature MNs for good modeling of motor neuron diseases. We thus refined a detailed step-by-step strategy for inducing hPSCs towards long-term preservable NPCs, and further specified MNs based on the NPC platform.Entities:
Keywords: RA; SMAD; motor neuron; neural differentiation; neural progenitor cells; pluripotent stem cells
Mesh:
Year: 2021 PMID: 34831309 PMCID: PMC8625124 DOI: 10.3390/cells10113087
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Antibodies used for immunostaining.
| Primary Antibody | Species | Dilution | Source |
|---|---|---|---|
| NESTIN | Ms | 1:400 | Millipore, #MAB5326 |
| PAX6 | Rb | 1:500 | Sigma, #HPA030775 |
| SOX2 | Gt | 1:50 | Santa Cruz, #sc-17320 |
| Ki67 | Rb | 1:1000 | Leica, #NCL-Ki67p |
| PSA-NCAM | Ms | 1:250 | DSHB, #5A5-a |
| TUBB3 | Rb | 1:500 | ABclonal, #A17074 |
| TUBB3 | Ms | 1:750 | Biolegend, #801201 |
| GFAP | Rb | 1:200 | ABclonal, #A14673 |
| SYN1 | Rb | 1:200 | Cell Signaling, #5297 |
| vGLUT1 | Ms | 1:500 | Synaptic System, #135303 |
| GABA | Rb | 1:1000 | Sigma, #A2052 |
| TH | Ck | 1:1000 | Aves, #TYH |
| HB9 | Ms | 1:100 | DSHB, 81.5C10-c |
| ChAT | Gt | 1:200 | Millipore, #AB144P |
| GFP | Ck | 1:1000 | Aves, #GFP-1020 |
| Secondary Antibody | |||
| Donkey anti-Mouse IgG (H + L), Alexa Fluor 488 | 1:500 | Invitrogen, #A-21202 | |
| Donkey anti-Rabbit IgG (H + L), Alexa Fluor 488 | 1:500 | Invitrogen, #A-21206 | |
| Goat anti-Chicken IgY (H + L), Alexa Fluor 488 | 1:500 | Invitrogen, #A-11039 | |
| Donkey anti-Mouse IgG (H + L), Alexa Fluor 555 | 1:500 | Invitrogen, #A-31570 | |
| Donkey anti-Rabbit IgG (H + L), Alexa Fluor 555 | 1:500 | Invitrogen, #A-31572 | |
| Donkey anti-Goat IgG (H + L), Alexa Fluor 555 | 1:500 | Invitrogen, #A-21432 | |
| Goat anti-Mouse IgM (H), Alexa Fluor 555 | 1:500 | Invitrogen, #A-21426 | |
| Donkey anti-Mouse IgG(H + L), Alexa Flour 647 | 1:500 | Invitrogen, #A-31571 | |
| Donkey anti-Rabbit IgG(H + L), Alexa Flour 647 | 1:500 | Invitrogen, #A-31573 | |
| Donkey anti-Goat IgG (H + L), Alexa Fluor 647 | 1:500 | Invitrogen, #A-21447 | |
Primer sequences for Q-PCR.
| Gene | Forward Primer (5′–3′) | Reverse Primer (5′–3′) | bp |
|---|---|---|---|
|
| GCTTTCCTTGGTCAGGCAGTA | GTCTGGCTTATATCCAACACTTCGT | 94 |
|
| GTCCTGTCGCCCACCATCTC | CCCTCCCAACGCCACTGAC | 251 |
|
| TGCCAGAAAGTCTCAACAGCC | CGAGTGTAAACAGTGCATGGA | 125 |
|
| CGTGGCTTACTCCCCATTTA | TCTCGCTGTCTCTCCCTCTC | 117 |
|
| CTACCGCTTCCATGGGAAATC | CTGTTGTCACTAAGGACAGGG | 207 |
|
| ATGTCGCGCTCCTTCTATGTC | CAAGCGGGATGAAGAAATCCG | 106 |
|
| GCGGAGTGTAATCAGTATTTGGA | GCATTTGATCCCGTACAACCT | 102 |
|
| AGCACACGACTCCGTTCTC | GCCCACTTTCTTGTAGCTTTCC | 68 |
|
| AGCTCCTCAAATCGCATCC | AAAAGGTCATCGGGCTCTG | 146 |
|
| CAAAGTGAGACCTGCCAAAAAGA | TGGACAAGGGATCTGACAGTG | 179 |
|
| GCCCTCACAAACACCTACAG | TCATAACTCCGCCCATTCAC | 149 |
|
| GCGGAGCTCGTCGCATT | GCGGTAACAACTACAAAAAACTTGTAA | 62 |
|
| GCAGCAGCTACCCACATTCA | AGGTTGTCAGTGGTCGAGATA | 76 |
Figure 1Differentiation strategy for NPC generation and neurosphere formation. (A) Differentiation strategy by RA/MGCD and SB/LDN methods. (B) Morphology change of hPSCs upon treatment. Scale bar: 100 μm. (C,D) Neurosphere formation. Scale bar: 100 μm. RA: retinoic acid; MGCD: MGCD0103; SB: SB431542; LDN: LDN193189.
Figure 2NPC generation and identity characterization. (A,C) Immunostaining of generated NPCs derived from both healthy individuals and patients with neurodegenerative diseases. Scale bar: 100 μm. (B,D) Statistics of NPCs with NESTIN/SOX2/PAX6 triple positive. (E) Identity characterization of NPCs by Q-PCR.
Figure 3Spontaneous neural differentiation from generated NPCs. (A) NPCs were spontaneously differentiated into neurons and astrocytes, represented by TUBB3 and GFAP staining, respectively. Scale bar, 50 μm. (B) Synapse formation by SYN1 staining of differentiated neurons at 30 dpi. Scale bar: 25 μm. (C) Complicated morphology of differentiated neurons at 30 dpi. Scale bar: 20 μm. (D,E) Neural subtypes differentiated from SB/LDN NPCs. Scale bar: 50 μm. (F) Repetitive action potential waveforms recorded by whole-cell patch-clamp recording. (G) Representative waveform of inward and outward currents. (H) A zoomed-in view of inward currents, resembling sodium currents. (F–H) Adapted from our previous results [9].
Comparison of strategies for generating NPCs from hPSCs.
| Methods | Instructive | Starting Density | Treatment Days | Purity | Induction | Differentiation | Notes |
|---|---|---|---|---|---|---|---|
| Dual SMAD inhibition | SB431542 (10 μM) | >90% hPSCs | 7 days | >97% | Superior in general | Both neurons and astrocytes | Work with other patterning factors (such as purmorphamine, CHIR99021, FGF8, etc.) to generate region-specific NPCs |
| RA treatment | RA (10 μM) MGCD0103 (0.8 μM) | ~40% hPSCs | 7 days | >97% | Superior in inducing NKX2.1, but incapable of inducing SOX1 with 10 μM RA | Both neurons and astrocytes | MGCD0103 can be replaced as other HDACi such as sodium butyrate, trichostatin A and valproic acid |
Figure 4MN differentiation from generated NPCs. (A) Sets of transcription factors for MN differentiation. (B) The MOI of virus usage. Scale bar: 100 μm. (C) Neural differentiation with different sets of transcription factors and coating conditions. +, ++, +++ represent the scales of neuron number or GFP intensity. Scale bar: 100 μm. (D) Efficiencies of MN differentiation. *** p < 0.001. (E) Immunostaining of MN markers. Scale bar: 50 μm. Pur: purmorphamine; MLF555: Matrigel (1:500)/Laminin (5 μg/mL)/Fibronectin (5 μg/mL); PLO/LAM: PLO (15 μg/mL)/Laminin (1 μg/mL); NIL: NGN2, ISL1 and LHX3; NILmS: NGN2, ISL1, LHX3, mSOX11; NILhs: NGN2, ISL1, LHX3, hSOX11; C2: C2 medium; NDM: NDM medium.
Figure 5Modeling ALS using differentiated MNs. WT-and ALS-NPCs were differentiated into MNs, respectively. Under the stress by withdrawal of neurotrophic factors: (A) Soma size (μm2) of WT- and ALS-NPCs-derived MNs. * p < 0.05; ** p < 0.01. (B) Survival of WT- and ALS-NPCs-derived MNs. ** p < 0.01; *** p < 0.001.