Direct conversion from skin fibroblasts to functional dopaminergic neurons for biomedical application
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Recent progress in tissue engineering research led to the generation of different types of cells from a handful of skin tissue. Lineage reprogramming is a nascent field, which holds great potential to expand its use in regenerative medicine and disease modeling. The concept of somatic cell epigenetic stability has been fundamentally reshaped through the report of direct conversion of somatic identity to another lineage by introducing transcription factors. Here, we review recent advances in lineage reprogramming research, especially direct conversion into dopamine neurons from fibroblasts.
KeywordsDirect conversion Dopamine neurons Fibroblasts and iPSC
Aromatic l-amino acid decarboxylase
Activin A receptor type 2
BAF complex 53 KDa subunit
Brain-derived neurotrophic factor
- Brn2 also POU3F2
POU class 3 homeobox 2
- DA neurons
Noradrenaline-synthesizing enzyme dopamine β-hydroxylase 1
Fibroblast growth factor 8
Forkhead Box A2
Glial cell line-derived neurotrophic factor
Gli family zinc finger1
Glycogen synthase kinase 3
Induced pluripotent stem cell
LIM homeobox transcription factor 1 α
- Mash1 also known as Ascl1
Mammalian achaete scute homolog-1
- mDA neuron
Midbrain dopamine neuron
Msh homeobox homolog 1
Myogenic differentiation 1
Myelin transcription factor 1 like
Nerve growth factor
Nuclear receptor-related 1 protein
Paired box 2
Paired box 5
Paired like homeodomain 2a
Retinoic X receptor
Ventral tegmental area
Wingless-related MMTV integration site 1
Key transcription factors during dopamine neuron development
Mash1 (also known as achaete-scute homolog 1, Ascl1)
Mash1 (mammalian achaete scute homolog-1) is a pro-neural transcription factor, which serves multiple roles in neuronal commitment. In brain development, neurogenesis is an essential process that drives neural progenitors into functional differentiated neurons. This neurogenesis is coordinated by pro-neural transcription factors including Mash1, Ngn1, and Ngn2. Especially, Mash1 is responsible for the neuronal cell specification, by binding with other neural pro-neural genes such as Ngn1 and Ngn2 (Parras et al. 2002; Cau et al. 2002). In sympathetic ganglia, Mash1 facilitates noradrenergic neuron differentiation by inducing expression of the homeobox gene Phox2a and the noradrenaline-synthesizing enzyme dopamine β-hydroxylase 1 (DBH1) (Lo et al. 1998; Hirsch et al. 1998). In the neuroepithelium of the hindbrain, Mash1 is indispensible for the differentiation of central serotonergic neurons (Pattyn et al. 2004). Genome-wide analysis of Mash1-mediated target genes in neural tube during murine embryogenesis revealed that Mash1 directly regulates numerous genes involved in proliferation, differentiation, and maturation of neurons by binding to the specific sequence, E-Box motif (CAGCTG) (Borromeo et al. 2014). Indeed, Mash1-deficient mice exhibit a severe loss of neural progenitors in the subventricular zone and abnormal ventral forebrain differentiation (Casarosa et al. 1999; Horton et al. 1999). Therefore, Mash1 is an important transcription factor, which promotes the neural lineage differentiation and context-dependent proliferation (Vasconcelos and Castro 2014).
Lmx1a and Foxa2
Nurr1 (also known as NR4A2)
Nurr1 is an orphan nuclear receptor that serves essential roles for the differentiation, maturation, and maintenance of mDA neurons. In the murine brain development, Nurr1 is expressed around E10.5 in the ventral midbrain prior to expression of TH, which is a key enzyme to generate dopamine at E11.5. Nurr1 expression is retained in DA neurons of the substantia nigra and ventral tegmental area (SN-VTA) throughout adulthood. Therefore, Nurr1 may be involved in the early stage of mDA neuronal differentiation as well as in the postnatal stage of mDA neuron maintenance. Moreover, SHH-Foxa2 and Wnt1-Lmx1 axis orchestrate the expression of Nurr1, suggesting that Nurr1 expression is a molecular cue for the development of mDA neurons.
Three conserved DNA-binding domains of Nurr1 are important for its transcriptional activity. NGFI-B response element (NBRE, AAAGGTCA) is crucial for Nurr1 function as a monomer, Nurr response element (NurRE, AAAT(G/A)(C/T)CA) is important for homodimers or heterodimers with NR4A family (Nur77 or Nor1), and direct repeat of AGGTCA with a five-base-pair spacer (DR5) is required for heterodimer with RXR (Campos-Melo et al. 2013). Importantly, Nurr1 induces the expression of TH as well as dopamine transporter (DAT) to maintain dopamine levels in synaptic cleft (Sakurada et al. 1999; Schimmel et al. 1999; Sacchetti et al. 2001). Subsequent studies have revealed that Nurr1 induces essential genes for the mDA neuronal function such as vesicular monoamine transporter 2 (VMAT2), aromatic amino acid carboxylase (AADC), and Ret (GDNF receptor) (Hermanson et al. 2003; Smits et al. 2003; Li et al. 2009).
Indeed, Nurr1-deficient mice are incapable of generating mDA neurons in the SN and VTA. However, these mice eventually died within the first 2 days of birth due to milk-suckling difficulty (Zetterstrom et al. 1997). A study using conditional Nurr1-gene targeted mice, in which Nurr1 is selectively ablated in mature DA neurons, showed progressive reduction in both developing and adult striatal DA neurons (Kadkhodaei et al. 2013). Moreover, selective Nurr1 deletion in mature DA neurons at adulthood (~ 5 weeks) results in typical pathological phenotypes seen in PD patients: (1) degeneration of DA neurons, (2) reduced dopamine and dopamine-related metabolites, and (3) impaired motor behaviors. Collectively, Nurr1 plays an indispensable role for generating and maintaining DA neurons by regulating numerous genes including dopamine-related enzymes, transporters, and transcription factors.
Generation of DA neurons from fibroblasts
Research on the generation of DA neurons from fibroblasts was inspired from the finding of direct conversion that generation of neurons using three transcription factors Ascl1, Brn2 and Myt1l (Vierbuchen et al. 2010). To determine which transcription factor is required for induced mDA neuron generation, Pfisterer and colleagues examined 10 genes involved in patterning and specification of DA neurons (En1, Foxa2, Gli1, Lmx1a, Lmx1b, Msx1, Nurr1, Otx1, Pax2, and Pax5). They found that Foxa2 and Lmx1a in combination with the three known genes (Ascl1, Brn2, and Myt1l) are required for induced DA neuron generation (Pfisterer et al. 2011). Consequently, Caiazzo and colleagues reported the minimal transcription factor combination (Ascl1, Nurr1, and Lmx1a) for generating induced DA neurons from mouse and human fibroblasts (Caiazzo et al. 2011). Induced DA neurons from murine fibroblasts alleviate symptoms in a mouse model of PD (Kim et al. 2011). Transcription factors including Axcl1, Nurr1, and Lmx1b induce direct conversion into DA neurons from astrocytes (Addis et al. 2011). Collectively, the ectopic expression of genes that are known to serve crucial function in the DA neuron specification and development is required for the generation of induced DA neurons.
MicroRNA-mediated conversion into dopamine neurons from fibroblasts
miRNA is an endogenous small non-coding molecule found in many organisms including plants, animals, and viruses (Dethoff et al. 2012). miRNA regulates gene expression by binding to complementary sequences (Vidigal and Ventura 2015). Numerous studies showed the close relationship between microRNA and neuronal development (Behm and Ohman 2016). Especially, miR-133b is expressed in the DA neurons and is deficient in PD patients. MiR-133b regulates function and maturation of DA neurons (Kim et al. 2007). Subsequent study showed that miR-9 and miR-124 repress BAF53a in post-mitotic neurons, regulating essential transition of neurogenesis (Yoo et al. 2011; Yoo et al. 2009). Interestingly, ectopic expression of miR-9 and miR-124 induces neuron-like morphological change in fibroblasts (Yoo et al. 2009). Combination of miR-124 and two transcriptional factors, Ascl1 and Myt1l, promote into human-induced neuron (ihN) generation from human primary dermal fibroblasts (Yoo et al. 2011). Collectively, these studies suggest that miRNAs involved in neuronal development could play an important role for generating neurons directly from fibroblasts. A more rigorous approach will be required to elucidate molecular mechanism of miRNA-mediated neuronal differentiation, specifically DA neuron differentiation.
Recent studies of induced DA neurons
Summary of studies on induced mDA neuron differentiation from fibroblasts
Dopamine neuron differentiation
Pfisterer et al. 2011
Ascl1, Brn2, Myt1l, Foxa2, and Lmx1a
-16.43 ± 4.3% conversion efficiency to neuron
-Less than 10% of TH+ cells among neurons
-Spontaneous action potentials and rebound action potentials are comparable with mDA neuron
Caiazzo et al. 2011
Ascl1, Nurr1, and Lmx1a
-ICC TH+ (~ 5%), VMAT2, DAT, ALDH1A1, and calbindin
-Gene expression pattern
-Spontaneous action potentials and rebound action potentials are comparable with mDA neuron
Kim et al. 2011
Ascl1 and Pitx3
Shh + FGF in N3 media (N2 + bFGF)
-ICC TH+ (~ 5%), Tuj, DAT, and AADC
-Gene expression pattern
-About 50% recovery in amphetamine-induced rotation
-About 2000 TH+ cells in grafted with elevated dopamine level
Addis et al. 2011
Ascl1, Lmx1b, and Nurr1
-ICC 35.15% of Tuj1+
50.9 ± 3.3% of TH+ among Tuj1+ cells (18.2 ± 1.5% conversion rate)
-Gene expression pattern
Jiang et al. 2015
Ascl1, Lmx1a, Nurr1, and p53 shRNA
-ICC 93.3 ± 1.6% of Tuj1+, 59.2 ± 3.7% TH+
iPSC-derived DA neuron vs. induced DA neuron
James Thompson and his colleagues established human embryonic stem cells (hESC) in 1998 (Thomson et al. 1998). hESC offers unlimited cell source not only for the inaccessible tissue but also for the development of diverse protocols including efficient generation of DA neurons. These efficient protocols are being used to generate iPSC-derived DA neurons, but there is a variation in differentiation potential of iPSCs (Hu et al. 2010). A subsequent study showed that treatment by a combination of small molecules efficiently induces hESC, iPSC, and PiPSC-derived DA neurons that (1) express dopamine neuronal markers in vitro, (2) exhibit robust TH positive neuritis innervation of the host striatum, and (3) show recovery in 6-OHDA PD rat model (Sundberg et al. 2013). This result indicated that iPSC-derived DA neurons could be a potent alternative cell source for PD. However, eliminating undifferentiated and undesired cell populations during iPSC-derived DA neuron generation is one of the major hurdles for clinical use of iPSC-derived DA neuron (Trounson and DeWitt 2016; Gutierrez-Aranda et al. 2010; Katsukawa et al. 2016; Lu and Zhao 2013). Especially, undifferentiated autologous iPSC can form teratoma, which does not fulfill clinical criteria. Induced neurons directly generated from fibroblasts that undergo senescence after several passages do not require cell proliferation, which is a necessary condition for iPSC reprogramming, eliminating the risk of teratoma. Although generation of DA neurons by direct conversion is faster compared to iPSC-derived DA neuron generation, there is a practical limitation to generate sufficient numbers of induced neurons by direct conversion for therapeutic use (Yang et al. 2011). Based on postmortem analysis from fetal VM transplantation in PD patients, large numbers of TH-positive cells (200,000~400,000) are required (Mendez et al. 2005; Li et al. 2008; Kordower et al. 1996; Hagell et al. 1999; Mendez et al. 2008). Therefore, it would be desirable to generate DA neuron precursors from fibroblasts that are expendable (Kim et al. 2014; Tian et al. 2015; Lim et al. 2015).
Despite the short amount of time since the report of direct conversion into neuronal cells from fibroblasts, it already represents a significant shift that cell fate plasticity can be manipulated by transcription factors (Vierbuchen et al. 2010; Pfisterer et al. 2011; Kim et al. 2011). Although the molecular mechanism is still poorly understood, this new methodology may be a strong and attractive tool to expand our knowledge on the relationship between transcription factors and various repressive/active chromatin states to regulate cell fate decision. Moreover, direct conversion of DA neurons provides an alternative for the cell-based therapy using iPSC technology. Recently, disease modeling using iPSC-derived neurons has provided new insights into the cellular aspect of diseases by recapitulating patient derived cells (Nishizawa et al. 2016; Mucci et al. 2016; Li et al. 2016; Heman-Ackah et al. 2016; Jang and Ye 2016; Choi et al. 2016; Mekhoubad et al. 2012; Marchetto et al. 2011; Soldner and Jaenisch 2012). Consequently, progerin-mediated late-onset disease modeling provides the possibility of using iPSC-derived DA neurons in late-onset age-related diseases (e.g., Parkinson’s diseases) (Miller et al. 2013). Along with the advance of iPSC-based disease modeling, induced mDA neurons from patient-derived fibroblasts will be beneficial for recapitulating diseases in vitro. Although small molecule-mediated generation of functional DA neuron from iPSC has been established, direct conversion of fibroblasts into DA neurons using only small molecules has not been established. This may be due to the different epigenetic control and chromatin statuses that are involved in cell fate plasticity, compared to those in iPSCs. Thus, more rigorous approaches are required to screen effective small molecules that regulate epigenetic changes in fibroblasts. Recent studies showed the close relationship between metabolites and epigenetic control in stem cell self-renewal and differentiation (Donohoe and Bultman 2012; Inagaki et al. 2016; Ryall et al. 2015; Berger and Sassone-Corsi 2015; Menendez 2015; Ryall et al. 2015; Ost and Pospisilik 2015; Meier 2013; Agathocleous and Harris 2013; Kaelin and McKnight 2013; Lu and Thompson 2012; Hanover et al. 2012). Acetyl-CoA, methionine, and α-ketoglutarate are the key metabolites that are either a source or cofactor of acetylation, methylation, and dimethylation. Moreover, metabolites like glucosamine-induced stem cell proliferation and differentiation by regulating both epigenetic control and anabolic metabolism (Hwang et al. 2016; TeSlaa et al. 2016; Carey et al. 2015; Jung et al. 2016; Jang et al. 2012). Thus, metabolic reprogramming is one of the candidates to further examine for regulation of cell fate plasticity. Future investigation will need to overcome the low efficiency of induced DA neurons from adult human fibroblasts.
We thank Dr. Jeha Jeon for editing the figures. We are grateful to Dabin Hwang for the proofreading of the manuscript.
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YJ and JHJ wrote the manuscript and figures. JHJ decided on the content, had editorial input on all sections, and designed the layout of figures. All authors read and approved the final manuscript.
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- Berger SL, Sassone-Corsi P. Metabolic signaling to chromatin. Cold Spring Harb Perspect Biol. 2015;Google Scholar
- Chung S, Leung A, Han BS, Chang MY, Moon JI, Kim CH, Hong S, Pruszak J, Isacson O, Kim KS. Wnt1-lmx1a forms a novel autoregulatory loop and controls midbrain dopaminergic differentiation synergistically with the SHH-FoxA2 pathway. Cell Stem Cell. 2009;5(6):646–58.PubMedPubMedCentralCrossRefGoogle Scholar
- Doi D, Samata B, Katsukawa M, Kikuchi T, Morizane A, Ono Y, Sekiguchi K, Nakagawa M, Parmar M, Takahashi J. Isolation of human induced pluripotent stem cell-derived dopaminergic progenitors by cell sorting for successful transplantation. Stem Cell Reports. 2014;2(3):337–50.PubMedPubMedCentralCrossRefGoogle Scholar
- Gutierrez-Aranda I, Ramos-Mejia V, Bueno C, Munoz-Lopez M, Real PJ, Macia A, Sanchez L, Ligero G, Garcia-Parez JL, Menendez P. Human induced pluripotent stem cells develop teratoma more efficiently and faster than human embryonic stem cells regardless the site of injection. Stem Cells. 2010;28(9):1568–70.PubMedPubMedCentralCrossRefGoogle Scholar
- Hwang IY, Kwak S, Lee S, Kim H, Lee SE, Kim JH, Kim YA, Jeon YK, Chung DH, Jin X, et al. Psat1-dependent fluctuations in alpha-ketoglutarate affect the timing of ESC differentiation. Cell Metab. 2016;Google Scholar
- Kadkhodaei B, Alvarsson A, Schintu N, Ramskold D, Volakakis N, Joodmardi E, Yoshitake T, Kehr J, Decressac M, Bjorklund A, et al. Transcription factor Nurr1 maintains fiber integrity and nuclear-encoded mitochondrial gene expression in dopamine neurons. Proc Natl Acad Sci U S A. 2013;110(6):2360–5.PubMedPubMedCentralCrossRefGoogle Scholar
- Kordower JH, Rosenstein JM, Collier TJ, Burke MA, Chen EY, Li JM, Martel L, Levey AE, Mufson EJ, Freeman TB, et al. Functional fetal nigral grafts in a patient with Parkinson’s disease: chemoanatomic, ultrastructural, and metabolic studies. J Comp Neurol. 1996;370(2):203–30.PubMedCrossRefGoogle Scholar
- Li M, Zhao H, Ananiev GE, Musser MT, Ness KH, Maglaque DL, Saha K, Bhattacharyya A, Zhao X. Establishment of reporter lines for detecting fragile X mental retardation (FMR1) gene reactivation in human neural cells. Stem Cells. 2016;Google Scholar
- Lin W, Metzakopian E, Mavromatakis YE, Gao N, Balaskas N, Sasaki H, Briscoe J, Whitsett JA, Goulding M, Kaestner KH, et al. Foxa1 and Foxa2 function both upstream of and cooperatively with Lmx1a and Lmx1b in a feedforward loop promoting mesodiencephalic dopaminergic neuron development. Dev Biol. 2009;333(2):386–96.PubMedCrossRefGoogle Scholar
- Mali P, Chou BK, Yen J, Ye Z, Zou J, Dowey S, Brodsky RA, Ohm JE, Yu W, Baylin SB, et al. Butyrate greatly enhances derivation of human induced pluripotent stem cells by promoting epigenetic remodeling and the expression of pluripotency-associated genes. Stem Cells. 2010;28(4):713–20.PubMedPubMedCentralCrossRefGoogle Scholar
- Mendez I, Sanchez-Pernaute R, Cooper O, Vinuela A, Ferrari D, Bjorklund L, Dagher A, Isacson O. Cell type analysis of functional fetal dopamine cell suspension transplants in the striatum and substantia nigra of patients with Parkinson’s disease. Brain. 2005;128(Pt 7):1498–510.PubMedPubMedCentralCrossRefGoogle Scholar
- Mucci A, Kunkiel J, Suzuki T, Brennig S, Glage S, Kuhnel MP, Ackermann M, Happle C, Kuhn A, Schambach A, et al. Murine iPSC-derived macrophages as a tool for disease modeling of hereditary pulmonary alveolar proteinosis due to Csf2rb deficiency. Stem Cell Reports. 2016;7(2):292–305.PubMedPubMedCentralCrossRefGoogle Scholar
- Nishizawa M, Chonabayashi K, Nomura M, Tanaka A, Nakamura M, Inagaki A, Nishikawa M, Takei I, Oishi A, Tanabe K, et al. Epigenetic variation between human induced pluripotent stem cell lines is an indicator of differentiation capacity. Cell Stem Cell. 2016;Google Scholar
- Ryall JG, Dell'Orso S, Derfoul A, Juan A, Zare H, Feng X, Clermont D, Koulnis M, Gutierrez-Cruz G, Fulco M, et al. The NAD(+)-dependent SIRT1 deacetylase translates a metabolic switch into regulatory epigenetics in skeletal muscle stem cells. Cell Stem Cell. 2015;16(2):171–83.PubMedPubMedCentralCrossRefGoogle Scholar
- Schimmel JJ, Crews L, Roffler-Tarlov S, Chikaraishi DM. 4.5 kb of the rat tyrosine hydroxylase 5′ flanking sequence directs tissue specific expression during development and contains consensus sites for multiple transcription factors. Brain Res Mol Brain Res. 1999;74(1-2):1–14.PubMedCrossRefGoogle Scholar
- Sundberg M, Bogetofte H, Lawson T, Jansson J, Smith G, Astradsson A, Moore M, Osborn T, Cooper O, Spealman R, et al. Improved cell therapy protocols for Parkinson’s disease based on differentiation efficiency and safety of hESC-, hiPSC-, and non-human primate iPSC-derived dopaminergic neurons. Stem Cells. 2013;31(8):1548–62.PubMedCrossRefGoogle Scholar
- Tapia N, Scholer HR. Molecular obstacles to clinical translation of iPSCs. Cell Stem Cell. 2016;Google Scholar
- TeSlaa T, Chaikovsky AC, Lipchina I, Escobar SL, Hochedlinger K, Huang J, Graeber TG, Braas D, Teitell MA. Alpha-ketoglutarate accelerates the initial differentiation of primed human pluripotent stem cells. Cell Metab. 2016;Google Scholar
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