Mol. Cells 2021; 44(4): 233-244
Published online April 6, 2021
https://doi.org/10.14348/molcells.2021.0005
© The Korean Society for Molecular and Cellular Biology
Correspondence to : mrhee@cnu.ac.kr
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.
To define novel networks of Parkinson’s disease (PD) pathogenesis, the substantia nigra pars compacta of A53T mice, where a death-promoting protein, FAS-associated factor 1 was ectopically expressed for 2 weeks in the 2-, 4-, 6-, and 8-month-old mice, and was subjected to transcriptomic analysis. Compendia of expression profiles and a hierarchical clustering heat map of differentially expressed genes associated with PD were bioinformatically generated. Transcripts level of a particular gene was fluctuated by 20, 60, and 0.75 fold in the 4-, 6-, and 8-month-old mice compared to the 2 months old. Because the gene contained Kelch domain, it was named as Kapd (Kelch-containing protein associated with PD). Biological functions of Kapd were systematically investigated in the zebrafish embryos. First, transcripts of a zebrafish homologue of Kapd, kapd were found in the floor plate of the neural tube at 10 h post fertilization (hpf), and restricted to the tegmentum, hypothalamus, and cerebellum at 24 hpf. Second, knockdown of kapd caused developmental defects of DA progenitors in the midbrain neural keel and midbrain– hindbrain boundary at 10 hpf. Third, overexpression of kapd increased transcripts level of the dopaminergic immature neuron marker, shha in the prethalamus at 16.5 hpf. Finally, developmental consequences of kapd knockdown reduced transcripts level of the markers for the immature and mature DA neurons, nkx2.2, olig2, otx2b, and th in the ventral diencephalon of the midbrain at 18 hpf. It is thus most probable that Kapd play a key role in the specification of the DA neuronal precursors in zebrafish embryos.
Keywords FAF1, Kapd (Kelch-containing protein associated with PD), midbrain dopaminergic neurons, next-generation sequencing, Parkinson’s disease
Progressive loss of dopaminergic (DA) neurons in the substantia nigra pars compacta (SNpc) is the leading cause of Parkinson’s disease (PD) (Fearnley and Lees, 1991; Hassler, 1938). Neuronal loss in the nigral complex occurs over the course of normal aging, as well as in neurodegenerative disease. Pathogenic clues to PD suggest that the regional selectivity of the lesions is specific to the neuropathological progression of PD and is therefore related to the molecular networks underlying prodromal PD. In sporadic PD, the most widespread form of parkinsonism, Lewy body pathology is associated with synucleinopathy. Sporadic PD is linked to protein misfolding and the development of abnormal intracellular inclusions. The presence of these aggregates is essential for neuropathologic confirmation of the clinical diagnosis (Giasson et al., 2000; Tofaris and Spillantini, 2007). Although the majority of PD is sporadic, familial forms of parkinsonism also exist; these cases are associated with genetic defects in factors such as LRRK2, α-synuclein, UCH-L1, DJ-1, ATP13A2, Parkin, and PINK1 (Klein and Westenberger, 2012). The syndrome also develops as a sequel to intoxication, trauma, vascular alterations, and metabolic diseases implicated in the formation and degradation of α-synuclein (α-Syn) aggregates (Forno, 1969; Galvin et al., 2001; Wakabayashi et al. 2007). Fas-associated factor 1 (FAF1), identified as a death-promoting protein (Ryu et al., 1999), participates in Fas-induced apoptosis as a member of the death-inducing signaling complex, and in regulated necrosis through activation of poly (ADP-ribose) polymerase 1 (PARP1). In addition, FAF1 contributes to cell death in dopaminergic neurons through PARP1 activation following oxidative stress (Sul et al., 2013; Yu et al., 2016). Hence, it would be worthwhile to discover the molecular networks that connect FAF1 with PD pathogenesis.
To elucidate the molecular elements composing SNpc region where FAF1 contributes to PD pathogenesis, we used A53T mice, a model of PD. In A53T mice, the 53th residue of α-Syn is mutated from alanine to threonine, resulting in a pathologic hallmark of PD: formation of Lewy bodies, neuronal inclusions consisting largely of α-Syn aggregations (Golbe et al., 1990; Polymeropoulos et al., 1996; 1997). Using A53T mice from 2 to 8 months of age, we generated transcriptomic profiles of the SNpc in the presence or absence of FAF1. This approach provided a broader dynamic range as well as high specificity and sensitivity for the unbiased detection of key genes and transcripts. Based on the transcriptomic data, we generated profiles of differential gene expression corresponding to the stages of neurodegenerative pathogenesis. The profiles, generated from total RNA isolated from the SNpc of mice at 2, 4, 6, and 8 months of age, were subjected to sequential bioinformatics analysis with ExDEGA, STRING-db, DAVID, KEGG Mapper, GSEA-MSigDB, and MeV to identify differentially expressed genes associated with PD (DEG-PDs). Among these genes, we focused on
Prior to investigating Kapd as a cause of PD, we studied the biological functions of
This study was approved by the Institutional Animal Care and Use Committee in Chungnam National University (approval No. CNU-00920). All the mice were maintained in the animal facility of Chungnam National University (Daejeon, Korea), and all animal studies were conducted in accordance with the institutional guidelines for the care and use of laboratory animals. The mice were randomly assigned to either MPTP or saline-treated groups. To generate the FAF1-induced mouse model of PD, the viral vector of FAF1 (4.3 × 1013 GC/ml) was injected into the right hemisphere of TG mice. The mice were killed 14 days after the last injection, and the brains were processed for further analysis. The A53T mice were kindly provided by Professor Eunhee Kim (Department of Bioscience & Biotechnology, Graduate School, Chungnam National University, Daejeon, Korea).
Stereotaxic adeno-associated virus (AAV) injections were performed as described by Kim (Sul et al., 2013) with some modifications. In brief, the AAV type 1 expressing FAF1 (AAV1-FAF1) was purchased from Vector Biolabs (USA). For stereotaxic injection of AAV1-FAF1 into the substantia nigra of the mouse midbrain, male A53T at 2, 4, 6, and 8 months after birth mice were anesthetized with an intraperitoneal injection of a mixture of Zoletil 50 (Virbac, USA) and Rompun (Bayer Korea, Korea). A 33 gauge injection needle was used to stereotaxically inject AAV1-FAF1 into the right substantia nigra (anteroposterior, −3.0 mm; mediolateral, 1.2 mm; dorsoventral, 4.3 mm from bregma). The infusion into the substantia nigra was performed at a rate of 0.1 μl/min, and 1.25 μl of AAV1-FAF1 (4.3 × 1013 GC/ml) was injected. After the injection, the needle was left in the substantia nigra for an additional 5 min and then slowly withdrawn. The skin over the injection site was closed by suturing. The AAV1-FAF1 was kindly provided by Professor Eunhee Kim (Department of Bioscience & Biotechnology, Graduate School, Chungnam National University, Daejeon, Korea).
Total RNA was isolated using Trizol reagent (Invitrogen, USA). RNA quality was assessed by Agilent 2100 bioanalyzer using the RNA 6000 Nano Chip (Agilent Technologies, The Netherlands), and RNA quantification was performed using ND-2000 Spectrophotometer (Thermo Fisher Scientific, USA).
Libraries were prepared from total RNA using the NEBNext Ultra II Directional RNA-Seq Kit (New England BioLabs, UK). The isolation of mRNA was performed using the Poly(A) RNA Selection Kit (Lexogen, Austria). The isolated mRNAs were used for the cDNA synthesis and shearing, following manufacture’s instruction. Indexing was performed using the Illumina indexes 1-12. The enrichment step was carried out using of polymerase chain reaction (PCR). Subsequently, libraries were checked using the Agilent 2100 bioanalyzer (DNA High Sensitivity Kit) to evaluate the mean fragment size. Quantification was performed using the library quantification kit using a StepOne Real-Time PCR System (Life Technologies, USA). High-throughput sequencing was performed as paired-end 100 sequencing using Hiseq X10 (Illumina, USA).
mRNA-Seq reads were mapped using TopHat software (Trapnell et al., 2009) tool in order to obtain the alignment file. The alignment files also were used for assembling transcripts, estimating their abundances and detecting differential expression of genes, isoforms using cufflinks. We used the FPKM (fragments per kilobase of exon per million fragments) as the method of determining the expression level of the gene regions. The FPKM data were normalized based on Quantile normalization method using EdgeR within R (R Development Core Team, 2016). Data mining and graphic visualization were performed using ExDEGA (Ebiogen, Korea). GO annotation enrichment was performed using DAVID (Sherman et al., 2009) with default parameters. KEGG pathway analysis was conducted using KEGG Mapper (Kanehisa and Sato, 2020). Gene clustering was performed using MeV ver. 4.9.0. Protein network analysis was performed using String Apps of Cytoscape ver. 3.7.2.
Wild-type (WT) zebrafish was obtained from Korea Zebrafish Organogenesis Mutant Bank (ZOMB) and grown at 28.5°C. Embryos were obtained through natural spawning and raised, and staged as described previously (Jung et al., 2020). Embryonic pigmentation was blocked by treating the embryos with 0.002% phenylthiourea after onset of somitogenesis.
Splicing-blocking morpholino (I2/E3: 5′ACGCACACACCTGCAAAGGA GGAGGAGAG-3′) and five-base mismatch morpholino (5-mismatch MO) were purchased from Gene-Tools (USA), and dissolved in water.
Embryos were fixed in 4% paraformaldehyde (PFA) overnight, and dehydrated in 100% methanol. Embryos after 24 h post-fertilization (hpf) were digested with 10 μg/ml protease K (Thermo Fisher Scientific). WISH was performed with minor modifications as described in Jung et al. (2020). Antisense probes of
All data were presented as mean ± SD. Statistically significant differences between the two groups were determined using the two-tailed Student’s
To separate and identify SNpc DA neuronal populations in A53T mice at 2, 4, 6, and 8 months of age, we injected a viral vector expressing FAF1 into the midbrain of the right hemisphere. After 2 weeks, we immunostained for tyrosine hydroxylase (TH), a marker of mature DA neurons which is an entry enzyme into dopamine synthesis and FAF1 in midbrain sections from each group using affinity-purified polyclonal antibodies against TH and FAF1, respectively (Figs. 1A and 1B). FAF1 was expressed at higher levels in the right hemisphere (FAF1-injected side) than in the left hemisphere, whereas TH was detected within the normal range (Fig. 1B). To identify DEGs associated with the pathogenesis of PD in the presence and absence of FAF1, total RNA from the SNpc of A53T and WT mice was subjected to next-generation sequencing (NGS). A total of 23,284 genes were screened and plotted for each sample (Supplementary Fig. S1). In the figure, red denotes up-regulation at a particular position, whereas blue denotes down-regulation. DA neuron markers in the adult SNpc (Allen Brain Atlas, ABA), including
To determine whether these DEGs modulate functions of key transcriptional regulators in PD-associated pathways, we subjected validated DEGs to pathway and functional category enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Database for Annotation, Visualization and Integrated Discovery (DAVID) (Fig. 1D). Categorization of DEGs by KEGG pathway analysis revealed that the top three gene annotations were ‘extracellular matrix’, ‘aging’, and ‘inflammatory response’ (data not shown). The functional analysis revealed that the upregulated DEGs were significantly enriched for the terms ‘chemical synaptic transmission’ and ‘oxidation-reduction process’, whereas downregulated DEGs were significantly enriched in ‘locomotory behavior’, ‘neurotransmitter transport’, and ‘dopamine biosynthetic process’ (Fig. 1D). Genes specifically expressed in the SNpc DA neuron clusters by dissection of neuroanatomical domain and further revealing regional subclusters based on iterative marker genes analyses might correlate their preferential vulnerability to PD pathogenesis. These analyses identified
Neighborhood correlation (http://www.neighborhoodcorrelation.org) compares sequence similarity, alignment length, and domain architecture comparison by classifying single and multidomain homologs with high accuracy. A rank plot showed that DEG-13 contains significant matches to the human F-box protein 42 gene (
We used zebrafish to investigate the functions of
To assess the role of
The positional specification of the dopaminergic cell lineage during normal development is regulated by extrinsic factors that impose regional characteristics on DA progenitors at early developmental stages (Holzschuh et al., 2003). To elucidate the requirement for
As neurulation continues, neural ectoderm cells produce a pseudostratified epithelium, undergoing polarized cell divisions to establish a well-defined midline by 18 hpf (Ciruna et al., 2006; Clarke, 2009). In cranial neurulation and neural crest migration, laterally segregated cells are apparent by 12 hpf, and convergence movements form the neural keel by 14 hpf, the neural rod at 18 hpf (when the clear midline is established), and finally the neural tube at 20 hpf. The development of diencephalic DA cells in the hypothalamus, ventral thalamus and caudal diencephalon may contribute to specification of DA cell lineage (Smeets and Reiner, 1994). To determine how
To investigate the molecular mechanism by which knockdown of
In zebrafish,
To determine whether
Some genes critical to PD age of onset, rather than risk, have been identified; however, loci that modulate risk have been discovered much more successfully than those that modulate age of onset. A genome-wide study revealed that
According to the Conserved Domain Database administered by the NCBI, mouse Kapd contains one Kelch repeat motif and two 3 & 4 Kelch domains at the N-terminus, whereas zebrafish
We demonstrated that
Interestingly,
Knockdown of
This research was funded by the National Research Foundation of Korea Government Grant (NRF-2020R1A2C101409911). I would like to thank Dr. Boksuk Kim for his invaluable support in the experiments of FAF1 overexpression at the SNpc of A53T mice.
M.R. conceived and supervised the study. E.K. provided FAF1 and A53T model system which are critical to the study platform. J.J. performed the experiments and analyzed the data. J.J. and M.R. wrote and revised the manuscript.
The authors have no potential conflicts of interest to disclose.
mRNA profiles of
DEG-13 (NM_178253) | 2 mo/L | 2 mo/R | 4 mo/L | 4 mo/R | 6 mo/L | 6 mo/R | 8 mo/L | 8 mo/R |
---|---|---|---|---|---|---|---|---|
Non | FAF1 | Non | FAF1 | Non | FAF1 | Non | FAF1 | |
Raw data | 215 | 212 | 5180 | 359 | 10563 | 2753 | 280 | 202 |
Normalized RC (log2) | 7.908 | 7.838 | 12.252 | 7.930 | 13.832 | 12.071 | 8.014 | 7.566 |
Data visualization was done based on the UCSC genome browser for the mouse assembly mm10,
Mol. Cells 2021; 44(4): 233-244
Published online April 30, 2021 https://doi.org/10.14348/molcells.2021.0005
Copyright © The Korean Society for Molecular and Cellular Biology.
Jangham Jung1 , Eunhee Kim2
, and Myungchull Rhee1,2,*
1Department of Life Science, BK21 Plus Program, Graduate School, Chungnam National University, Daejeon 34134, Korea, 2Department of Biological Sciences, College of Bioscience and Biotechnology, Chungnam National University, Daejeon 34134, Korea
Correspondence to:mrhee@cnu.ac.kr
This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.
To define novel networks of Parkinson’s disease (PD) pathogenesis, the substantia nigra pars compacta of A53T mice, where a death-promoting protein, FAS-associated factor 1 was ectopically expressed for 2 weeks in the 2-, 4-, 6-, and 8-month-old mice, and was subjected to transcriptomic analysis. Compendia of expression profiles and a hierarchical clustering heat map of differentially expressed genes associated with PD were bioinformatically generated. Transcripts level of a particular gene was fluctuated by 20, 60, and 0.75 fold in the 4-, 6-, and 8-month-old mice compared to the 2 months old. Because the gene contained Kelch domain, it was named as Kapd (Kelch-containing protein associated with PD). Biological functions of Kapd were systematically investigated in the zebrafish embryos. First, transcripts of a zebrafish homologue of Kapd, kapd were found in the floor plate of the neural tube at 10 h post fertilization (hpf), and restricted to the tegmentum, hypothalamus, and cerebellum at 24 hpf. Second, knockdown of kapd caused developmental defects of DA progenitors in the midbrain neural keel and midbrain– hindbrain boundary at 10 hpf. Third, overexpression of kapd increased transcripts level of the dopaminergic immature neuron marker, shha in the prethalamus at 16.5 hpf. Finally, developmental consequences of kapd knockdown reduced transcripts level of the markers for the immature and mature DA neurons, nkx2.2, olig2, otx2b, and th in the ventral diencephalon of the midbrain at 18 hpf. It is thus most probable that Kapd play a key role in the specification of the DA neuronal precursors in zebrafish embryos.
Keywords: FAF1, Kapd (Kelch-containing protein associated with PD), midbrain dopaminergic neurons, next-generation sequencing, Parkinson’s disease
Progressive loss of dopaminergic (DA) neurons in the substantia nigra pars compacta (SNpc) is the leading cause of Parkinson’s disease (PD) (Fearnley and Lees, 1991; Hassler, 1938). Neuronal loss in the nigral complex occurs over the course of normal aging, as well as in neurodegenerative disease. Pathogenic clues to PD suggest that the regional selectivity of the lesions is specific to the neuropathological progression of PD and is therefore related to the molecular networks underlying prodromal PD. In sporadic PD, the most widespread form of parkinsonism, Lewy body pathology is associated with synucleinopathy. Sporadic PD is linked to protein misfolding and the development of abnormal intracellular inclusions. The presence of these aggregates is essential for neuropathologic confirmation of the clinical diagnosis (Giasson et al., 2000; Tofaris and Spillantini, 2007). Although the majority of PD is sporadic, familial forms of parkinsonism also exist; these cases are associated with genetic defects in factors such as LRRK2, α-synuclein, UCH-L1, DJ-1, ATP13A2, Parkin, and PINK1 (Klein and Westenberger, 2012). The syndrome also develops as a sequel to intoxication, trauma, vascular alterations, and metabolic diseases implicated in the formation and degradation of α-synuclein (α-Syn) aggregates (Forno, 1969; Galvin et al., 2001; Wakabayashi et al. 2007). Fas-associated factor 1 (FAF1), identified as a death-promoting protein (Ryu et al., 1999), participates in Fas-induced apoptosis as a member of the death-inducing signaling complex, and in regulated necrosis through activation of poly (ADP-ribose) polymerase 1 (PARP1). In addition, FAF1 contributes to cell death in dopaminergic neurons through PARP1 activation following oxidative stress (Sul et al., 2013; Yu et al., 2016). Hence, it would be worthwhile to discover the molecular networks that connect FAF1 with PD pathogenesis.
To elucidate the molecular elements composing SNpc region where FAF1 contributes to PD pathogenesis, we used A53T mice, a model of PD. In A53T mice, the 53th residue of α-Syn is mutated from alanine to threonine, resulting in a pathologic hallmark of PD: formation of Lewy bodies, neuronal inclusions consisting largely of α-Syn aggregations (Golbe et al., 1990; Polymeropoulos et al., 1996; 1997). Using A53T mice from 2 to 8 months of age, we generated transcriptomic profiles of the SNpc in the presence or absence of FAF1. This approach provided a broader dynamic range as well as high specificity and sensitivity for the unbiased detection of key genes and transcripts. Based on the transcriptomic data, we generated profiles of differential gene expression corresponding to the stages of neurodegenerative pathogenesis. The profiles, generated from total RNA isolated from the SNpc of mice at 2, 4, 6, and 8 months of age, were subjected to sequential bioinformatics analysis with ExDEGA, STRING-db, DAVID, KEGG Mapper, GSEA-MSigDB, and MeV to identify differentially expressed genes associated with PD (DEG-PDs). Among these genes, we focused on
Prior to investigating Kapd as a cause of PD, we studied the biological functions of
This study was approved by the Institutional Animal Care and Use Committee in Chungnam National University (approval No. CNU-00920). All the mice were maintained in the animal facility of Chungnam National University (Daejeon, Korea), and all animal studies were conducted in accordance with the institutional guidelines for the care and use of laboratory animals. The mice were randomly assigned to either MPTP or saline-treated groups. To generate the FAF1-induced mouse model of PD, the viral vector of FAF1 (4.3 × 1013 GC/ml) was injected into the right hemisphere of TG mice. The mice were killed 14 days after the last injection, and the brains were processed for further analysis. The A53T mice were kindly provided by Professor Eunhee Kim (Department of Bioscience & Biotechnology, Graduate School, Chungnam National University, Daejeon, Korea).
Stereotaxic adeno-associated virus (AAV) injections were performed as described by Kim (Sul et al., 2013) with some modifications. In brief, the AAV type 1 expressing FAF1 (AAV1-FAF1) was purchased from Vector Biolabs (USA). For stereotaxic injection of AAV1-FAF1 into the substantia nigra of the mouse midbrain, male A53T at 2, 4, 6, and 8 months after birth mice were anesthetized with an intraperitoneal injection of a mixture of Zoletil 50 (Virbac, USA) and Rompun (Bayer Korea, Korea). A 33 gauge injection needle was used to stereotaxically inject AAV1-FAF1 into the right substantia nigra (anteroposterior, −3.0 mm; mediolateral, 1.2 mm; dorsoventral, 4.3 mm from bregma). The infusion into the substantia nigra was performed at a rate of 0.1 μl/min, and 1.25 μl of AAV1-FAF1 (4.3 × 1013 GC/ml) was injected. After the injection, the needle was left in the substantia nigra for an additional 5 min and then slowly withdrawn. The skin over the injection site was closed by suturing. The AAV1-FAF1 was kindly provided by Professor Eunhee Kim (Department of Bioscience & Biotechnology, Graduate School, Chungnam National University, Daejeon, Korea).
Total RNA was isolated using Trizol reagent (Invitrogen, USA). RNA quality was assessed by Agilent 2100 bioanalyzer using the RNA 6000 Nano Chip (Agilent Technologies, The Netherlands), and RNA quantification was performed using ND-2000 Spectrophotometer (Thermo Fisher Scientific, USA).
Libraries were prepared from total RNA using the NEBNext Ultra II Directional RNA-Seq Kit (New England BioLabs, UK). The isolation of mRNA was performed using the Poly(A) RNA Selection Kit (Lexogen, Austria). The isolated mRNAs were used for the cDNA synthesis and shearing, following manufacture’s instruction. Indexing was performed using the Illumina indexes 1-12. The enrichment step was carried out using of polymerase chain reaction (PCR). Subsequently, libraries were checked using the Agilent 2100 bioanalyzer (DNA High Sensitivity Kit) to evaluate the mean fragment size. Quantification was performed using the library quantification kit using a StepOne Real-Time PCR System (Life Technologies, USA). High-throughput sequencing was performed as paired-end 100 sequencing using Hiseq X10 (Illumina, USA).
mRNA-Seq reads were mapped using TopHat software (Trapnell et al., 2009) tool in order to obtain the alignment file. The alignment files also were used for assembling transcripts, estimating their abundances and detecting differential expression of genes, isoforms using cufflinks. We used the FPKM (fragments per kilobase of exon per million fragments) as the method of determining the expression level of the gene regions. The FPKM data were normalized based on Quantile normalization method using EdgeR within R (R Development Core Team, 2016). Data mining and graphic visualization were performed using ExDEGA (Ebiogen, Korea). GO annotation enrichment was performed using DAVID (Sherman et al., 2009) with default parameters. KEGG pathway analysis was conducted using KEGG Mapper (Kanehisa and Sato, 2020). Gene clustering was performed using MeV ver. 4.9.0. Protein network analysis was performed using String Apps of Cytoscape ver. 3.7.2.
Wild-type (WT) zebrafish was obtained from Korea Zebrafish Organogenesis Mutant Bank (ZOMB) and grown at 28.5°C. Embryos were obtained through natural spawning and raised, and staged as described previously (Jung et al., 2020). Embryonic pigmentation was blocked by treating the embryos with 0.002% phenylthiourea after onset of somitogenesis.
Splicing-blocking morpholino (I2/E3: 5′ACGCACACACCTGCAAAGGA GGAGGAGAG-3′) and five-base mismatch morpholino (5-mismatch MO) were purchased from Gene-Tools (USA), and dissolved in water.
Embryos were fixed in 4% paraformaldehyde (PFA) overnight, and dehydrated in 100% methanol. Embryos after 24 h post-fertilization (hpf) were digested with 10 μg/ml protease K (Thermo Fisher Scientific). WISH was performed with minor modifications as described in Jung et al. (2020). Antisense probes of
All data were presented as mean ± SD. Statistically significant differences between the two groups were determined using the two-tailed Student’s
To separate and identify SNpc DA neuronal populations in A53T mice at 2, 4, 6, and 8 months of age, we injected a viral vector expressing FAF1 into the midbrain of the right hemisphere. After 2 weeks, we immunostained for tyrosine hydroxylase (TH), a marker of mature DA neurons which is an entry enzyme into dopamine synthesis and FAF1 in midbrain sections from each group using affinity-purified polyclonal antibodies against TH and FAF1, respectively (Figs. 1A and 1B). FAF1 was expressed at higher levels in the right hemisphere (FAF1-injected side) than in the left hemisphere, whereas TH was detected within the normal range (Fig. 1B). To identify DEGs associated with the pathogenesis of PD in the presence and absence of FAF1, total RNA from the SNpc of A53T and WT mice was subjected to next-generation sequencing (NGS). A total of 23,284 genes were screened and plotted for each sample (Supplementary Fig. S1). In the figure, red denotes up-regulation at a particular position, whereas blue denotes down-regulation. DA neuron markers in the adult SNpc (Allen Brain Atlas, ABA), including
To determine whether these DEGs modulate functions of key transcriptional regulators in PD-associated pathways, we subjected validated DEGs to pathway and functional category enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and the Database for Annotation, Visualization and Integrated Discovery (DAVID) (Fig. 1D). Categorization of DEGs by KEGG pathway analysis revealed that the top three gene annotations were ‘extracellular matrix’, ‘aging’, and ‘inflammatory response’ (data not shown). The functional analysis revealed that the upregulated DEGs were significantly enriched for the terms ‘chemical synaptic transmission’ and ‘oxidation-reduction process’, whereas downregulated DEGs were significantly enriched in ‘locomotory behavior’, ‘neurotransmitter transport’, and ‘dopamine biosynthetic process’ (Fig. 1D). Genes specifically expressed in the SNpc DA neuron clusters by dissection of neuroanatomical domain and further revealing regional subclusters based on iterative marker genes analyses might correlate their preferential vulnerability to PD pathogenesis. These analyses identified
Neighborhood correlation (http://www.neighborhoodcorrelation.org) compares sequence similarity, alignment length, and domain architecture comparison by classifying single and multidomain homologs with high accuracy. A rank plot showed that DEG-13 contains significant matches to the human F-box protein 42 gene (
We used zebrafish to investigate the functions of
To assess the role of
The positional specification of the dopaminergic cell lineage during normal development is regulated by extrinsic factors that impose regional characteristics on DA progenitors at early developmental stages (Holzschuh et al., 2003). To elucidate the requirement for
As neurulation continues, neural ectoderm cells produce a pseudostratified epithelium, undergoing polarized cell divisions to establish a well-defined midline by 18 hpf (Ciruna et al., 2006; Clarke, 2009). In cranial neurulation and neural crest migration, laterally segregated cells are apparent by 12 hpf, and convergence movements form the neural keel by 14 hpf, the neural rod at 18 hpf (when the clear midline is established), and finally the neural tube at 20 hpf. The development of diencephalic DA cells in the hypothalamus, ventral thalamus and caudal diencephalon may contribute to specification of DA cell lineage (Smeets and Reiner, 1994). To determine how
To investigate the molecular mechanism by which knockdown of
In zebrafish,
To determine whether
Some genes critical to PD age of onset, rather than risk, have been identified; however, loci that modulate risk have been discovered much more successfully than those that modulate age of onset. A genome-wide study revealed that
According to the Conserved Domain Database administered by the NCBI, mouse Kapd contains one Kelch repeat motif and two 3 & 4 Kelch domains at the N-terminus, whereas zebrafish
We demonstrated that
Interestingly,
Knockdown of
This research was funded by the National Research Foundation of Korea Government Grant (NRF-2020R1A2C101409911). I would like to thank Dr. Boksuk Kim for his invaluable support in the experiments of FAF1 overexpression at the SNpc of A53T mice.
M.R. conceived and supervised the study. E.K. provided FAF1 and A53T model system which are critical to the study platform. J.J. performed the experiments and analyzed the data. J.J. and M.R. wrote and revised the manuscript.
The authors have no potential conflicts of interest to disclose.
. mRNA profiles of
DEG-13 (NM_178253) | 2 mo/L | 2 mo/R | 4 mo/L | 4 mo/R | 6 mo/L | 6 mo/R | 8 mo/L | 8 mo/R |
---|---|---|---|---|---|---|---|---|
Non | FAF1 | Non | FAF1 | Non | FAF1 | Non | FAF1 | |
Raw data | 215 | 212 | 5180 | 359 | 10563 | 2753 | 280 | 202 |
Normalized RC (log2) | 7.908 | 7.838 | 12.252 | 7.930 | 13.832 | 12.071 | 8.014 | 7.566 |
Data visualization was done based on the UCSC genome browser for the mouse assembly mm10,
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