Literature DB >> 31719764

Functional association between NUCKS1 gene and Parkinson disease: A potential susceptibility biomarker.

Sarita Singh1, Prahlad Kishore Seth1.   

Abstract

Several Genome Wide Association Studies (GWASs) have reported that PARK16 gene locus possibly regulate the risk of Parkinson's disease (PD). It contains functionally interesting candidate genes for PD, regulated by number of SNPs. In present study rs823093 polymorphism in NUCKS1 gene has been evaluated as significant performer in PD though its mechanism is not yet known. Here various regulatory and functional analyses were performed using computational tools and information from databases. The rs823093 variant was predicted to locate in enhancer histone marks in blood and have strong transcription in various parts of brain, heart, kidney and liver. PhenoScanner (a database of human genotype-phenotype associations) identified significant associations of this variant with many other diseases and phenotypic conditions as well. Gene expression analysis shows significant association with multiple human tissues and multiple genes together with NUCKS1. Further, the post mortem brain samples showed diverse expressions of NUCKS1 gene in PD patients compared to healthy samples. Besides, the metabolite analysis shows significant association with serotonin a known neurotransmitter, and other 15 metabolites. In addition, NUCKS1 also showed co-expression with ZNF43 and PLIN1 genes involved in cell cycle regulation presume their association in PD. Thus, these data links NUCKS1 gene as a potential disease susceptibility biomarker for PD.
© 2019 Biomedical Informatics.

Entities:  

Keywords:  GWAS; NUCKS1; Parkinson; SNP; rs823093

Year:  2019        PMID: 31719764      PMCID: PMC6822519          DOI: 10.6026/97320630015548

Source DB:  PubMed          Journal:  Bioinformation        ISSN: 0973-2063


Background

Parkinson's disease (PD) is the second most common neurodegenerative disorder after Alzheimer's disease and is reported to affect up to 1 million Americans over the age 55 and up to 10 million individuals worldwide [1]. In India, with an aging population and increased life expectancy, it is expected that the disease burden due to PD will be enormous, but there is no prospective study to estimate its incidence and mortality. The incidence rates (IRs) in different countries vary from 1.5 to 20 per 100,000 per year [2]. The disease is hallmarked by degeneration of a neurons specifically dopaminergic neurons between the substantianigra (SN) and the striatum. Investigators have reported that a significant number of dopamine producing cells are lost in the substantianigra of PD patients [3]. As these neurons are destroyed, the clinical signs which characterize PD such as the slowed movements, rigidity and tremors start to appear. Another key neuropathological mark of PD is the formation of Lewy bodies, which are cytoplasmic inclusions primarily, composed of the α- synuclein protein. Lewy bodies have been reported in the dopaminergic neurons and other brain regions like the cortex and magnocellular basal forebrain nuclei [3]. Besides the above-mentioned causes, interactions between genetic and environmental factors seem to play a critical role in the development of PD [4]. Several candidate genes and susceptibility loci causing monogenic familial forms of PD have been identified during number of genome wide association studies [5]. PARK16 locus, located on chromosome 1q32, having five candidate genes i.e. NUCKS1, RAB7L1, SLC41A1, SLA45A3 and PM20D1, is significantly associated with PD [6]. NUCKS1 gene encodes a nuclear protein, 27 kD Nuclear casein kinase and cyclin-dependent kinase substrate 1. The conserved regions of NUCKS1 contain several consensus phosphorylation sites for casein kinase II (CK2) and cyclin-dependent kinases (Cdk) and a basic DNA-binding domain. NUCKS1 is similar to the high mobility group (HMG) family, which dominates chromatin remodeling and regulates gene transcription [7]. NUCKS1 plays a significant role in various diseases as susceptibility or potential marker and involve in several regulatory mechanisms [8-12] Noticeably, NUCKS1 involves in cell growth and proliferation as well as in DNA repair [13]. Using genome wide Association Studies (GWAS) it was found that NUCKS1 is a susceptibility gene for many diseases and a single disease can be associated with multiple SNPs of NUCKS1. However, the same SNP of NUCKS1 for same disease when examined in different races showed that NUCKS1 has diverse expression. Besides, NUCKS1 genotypes exhibit distinct expression for certain diseases. Though exact roles of NUCKS1 in diseases remain unclear, a significant association of expression and transcription levels of NUCKS1 with PD has been observed [14,15]. The rs823093 variant is located in the intron of NUCKS1 gene. The mechanism by which rs823093 variant affects the PD pathogenesis is not yet known. In the present study, using bioinformatics approaches an attempt has been made to examine the functional association of rs823093 polymorphism and PD, with an aim to identify a susceptibility biomarker.

Methodology

Regulatory and functional analysis

Regulatory and functional analysis of rs823093 variant was done using RegulomeDB database and HaploReg v4 tool, respectively. RegulomeDB could annotate genetic variants with known and predicted regulatory DNA elements which included regions of DNAase hypersensitivity, binding sites of transcription factors, promoter regions and binding motifs that play significant role in transcription regulation [16]. These datasets were collected from Gene Expression Omnibus (GEO), the Encyclopedia of DNA Elements (ENCODE) project, and published literature. HaploReg tool was used to annotate the non-coding variants which included information from the 1000 Genomes Project, chromatin state and protein binding annotation from the Roadmap Epigenomics and ENCODE projects, sequence conservation across mammals, the effect of SNPs on regulatory motifs, and expression of genes [17,18].

Functional analysis using Genome Wide Association Study (GWAS)

Functional analysis using Genome wide association study (GWAS) of rs823093 variant was done using PhenoScanner package. This package included publicly available large-scale GWAS data, about 3 billion associations and over 10 million unique single nucleotide polymorphisms (SNPs) and a comprehensive phenotypes data [19]. In the present study, three kinds of functional analyses including the GWAS of diseases, metabolites, and gene expression analysis were performed. The PhenoScanner included 88 GWAS datasets with 76 kinds of diseases or phenotypes to carry out a GWAS analysis [20]. To perform metabolites analysis, PhenoScanner consisted of two metabolomics datasets [21,22]. For gene expression analysis, PhenoScanner included several datasets i.e. Geuvadis, GTEx (version 6), MuTHER, BIOSQTL, BLUEPRINT and Framingham etc.

Validation of NUCKS1 gene expression in Parkinson's disease

Whole genome expression profiles in Parkinson's disease were analyzed to identify the responsible genes associated with Parkinson's disease. Here microarray expression data of total 25 samples (including 16 biopsy specimens of Parkinson's disease patients, and 9 healthy) from substantia nigra of postmortem human brain of Parkinson's disease patients was used [23]. A web tool GEO2R [24] to evaluate whether NUCKS1 gene is significantly deregulated in diseased cases compared with healthy samples at P < 0.01 significance level was used. Additionally, GeneMANIA tool [25] in Cytoscape4.0 package was used to study the correlation between expressed genes associated with rs823093 variant.

Chart for Methodology:

Flowchart of complete methodology is shown in Figure 1.
Figure 1

Flowchart for methodology

Results

Regulatory and functional analysis of rs823093 variant

Regulatory analysis of rs823093 variant shows score 6 in RegulomeDB, explaining that variant have binding motif i.e. OTX2 studies using Positional weight matrices (PWM) method. The histone modification study showed that the rs823093 variant is located in enhancer histone marks in blood and strong transcription in various parts of brain, heart, kidney and liver (Table 1 ). Functional analysis of rs823093 variant using HaploReg tool also shows enhancer histone marks in blood and six altered regulatory motifs i.e. DMBX1, FOXP1, LHX3, GSC, HMBOX1 and OBOX3. First three motifs are involves in brain related proteins.
Table 1

Histone modification analysis

LocationChromatin StateTissue
chr1:205689200..205690000Genic enhancersBlood
chr1:205684600..205691400Strong transcriptionFetal Brain Female
chr1:205685400..205690800Strong transcriptionFetal Brain Male
chr1:205686600..205690200Strong transcriptionBrain Inferior Temporal Lobe
chr1:205688000..205690600Strong transcriptionBrain Substantia Nigra
chr1:205689000..205692200Strong transcriptionBrain Hippocampus Middle
chr1:205682800..205711200Strong transcriptionFetal Thymus
chr1:205683400..205693800Strong transcriptionFetal Adrenal Gland
chr1:205684600..205693000Strong transcriptionFetal Kidney
chr1:205688000..205690000Strong transcriptionFetal Heart
chr1:205688000..205690200Strong transcriptionRight Ventricle
chr1:205688000..205690400Strong transcriptionSigmoid Colon
chr1:205688400..205693200Strong transcriptionLiver
chr1:205680400..205694200Quiescent/LowRight Atrium

Association between rs823093 variant and type of disease or phenotype

GWAS of rs823093 variant identified thirty-eight significant associations at P<0.01. The variant is also significantly associated with other diseases or phenotypes besides Parkinson's disease such as Plateletcrit, Mucinous ovarian cancer, Chronic kidney disease, Particulate matter-associated QT prolongation, Monocyte percentage of white cells, Ulcerative colitis, Late onset Alzheimers disease, Neuroticism, Hip or knee osteoarthritis, Sporadic CreutzfeldtJakob disease and Inflammatory bowel disease etc. (details given in Table 2).
Table 2

Association between rs823093 and type of disease or phenotype

Disease or phenotypePMIDP-valueNo. of samples
Prostate specific antigen levels254344965.00E-13NA
Parkinson's disease224388151.38E-114258
Parkinson's disease199155764.88E-093509
Parkinson's disease199155757.29E-085691
Parkinson's disease212487407.29E-082796
Parkinson's disease250640092.22E-06108990
Plateletcrit278632522.58E-04173480
Parkinson's disease217384871.90E-0433050
HbA1c288982521.19E-03123665
Body mass index288920629.80E-04173430
Body mass index in males greater than 50 years of age264269711.70E-0392442
Body mass index females288920623.95E-0482438
Mucinous ovarian cancer283464422.60E-0342090
Chronic kidney disease268311993.30E-03117165
Childhood BMI266041433.55E-0335669
Chronic kidney disease203831463.90E-0362237
Insulin sensitivity index adjusted for BMI interaction274169454.10E-0316753
Particulate matter-associated QT prolongation287493674.56E-0322158
Urea288875424.66E-039961
ovarian cancer283464425.05E-0342895
Monocyte percentage of white cells278632525.24E-03173480
Ulcerative colitis261929195.30E-0327432
Body mass index adjusted for physical activity in males284485005.85E-0384503
Testosterone288875426.06E-034387
Body mass index256734136.22E-03339224
Late onset Alzheimer’s disease213902096.36E-033595
Neuroticism270891816.44E-03170911
Hip or knee osteoarthritis227631106.74E-0318419
Waist circumference in female smokers284436257.42E-0320595
Body mass index in physically inactive individuals284485008.00E-0342066
Diabetic nephropathy167750378.01E-031795
Body mass index adjusted for smoking in males284436258.38E-03102746
Body mass index in physically inactive individuals284485009.08E-0346393
Sporadic Creutzfeldt Jakob disease222106269.23E-037872
Inflammatory bowel disease261929199.42E-0334652
Granulocyte percentage of myeloid white cells278632529.58E-03173480
Body mass index in male non-smokers284436259.88E-0378101
Albumin288875429.93E-039961

Association between rs823093 variant and gene expression

The rs823093 variant shows fifty-three significant associations with gene expression at P<0.01. The analysis predicted significant associations of rs823093 variant with gene expression in multiple human tissues like brain, pancreas, thyroid, cells transformed fibroblasts, colon sigmoid, heart left ventricle, liver, lung, skin, small intestine, stomach, and whole blood, as shown in Table 3. These expressed genes include PM20D1, RAB7L1, NUCKS1, SLC41A1, CFHR2, PLIN1, KRBA2, ZNF43, CBX1, PGA4, FGD1, NFASC, SERPINB11, SLC1A7, TMEM54, CCDC28A, SLC45A3 and MFSD4. Significantly, rs823093 variant marks the expression of NUCKS1 gene in blood with P value 5.19e-09, 3.62e-05 and 3.41e-06 and in brain frontal cortex 3.11e-04.
Table 3

Association between rs823093 and gene expression

GeneTissueNo. of sampleBetaSEP-valuePMIDSource
PM20D1Adipose subcutaneous3850.49910.14899.02E-0425954001GTEx
PM20D1Testis2250.61660.17967.36E-0425954001GTEx
PM20D1Whole blood2116NANA1.22E-3027918533BIOSQTL
RAB7L1Adipose subcutaneous385-0.35310.091681.42E-0425954001GTEx
RAB7L1Artery tibial388-0.3620.083341.89E-0525954001GTEx
RAB7L1Brain anterior cingulate cortex BA24109-0.62350.17074.42E-0425954001GTEx
RAB7L1Brain cortex136-0.44740.11621.96E-0425954001GTEx
RAB7L1Breast mammary tissue251-0.36810.093991.23E-0425954001GTEx
RAB7L1Esophagus mucosa358-0.25190.075739.94E-0425954001GTEx
RAB7L1Esophagus muscularis335-0.33190.07682.14E-0525954001GTEx
RAB7L1Heart left ventricle272-0.32270.084351.70E-0425954001GTEx
RAB7L1Muscle skeletal491-0.3460.063348.01E-0825954001GTEx
RAB7L1Skin sun exposed lower leg414-0.39870.077043.86E-0725954001GTEx
RAB7L1Thyroid399-0.37630.072583.77E-0725954001GTEx
RAB7L1Monocytes194-0.91740.2431.60E-0427863251BLUEPRINT
RAB7L1Neutrophils192-0.80780.24429.42E-0427863251BLUEPRINT
RAB7L1Adipose visceral omentum313-0.32610.077633.65E-0525954001GTEx
RAB7L1Artery aorta267-0.49650.12015.11E-0525954001GTEx
RAB7L1Brain hippocampus111-0.92820.18954.29E-0625954001GTEx
RAB7L1Colon sigmoid203-0.40210.10471.75E-0425954001GTEx
RAB7L1Esophagus gastroesopha-geal junction213-0.30070.078851.89E-0425954001GTEx
RAB7L1Heart atrial appendage264-0.31420.09076.44E-0425954001GTEx
RAB7L1Nerve tibial361-0.27520.074242.50E-0425954001GTEx
RAB7L1Pancreas220-0.49180.11111.63E-0525954001GTEx
RAB7L1Brain hypothalamus108-0.93810.25113.35E-0425954001GTEx
RAB7L1Stomach237-0.41870.12146.84E-0425954001GTEx
RAB7L1Whole blood2116NANA1.35E-2127918533BIOSQTL
RAB7L1Lung383-0.31650.087263.35E-0425954001GTEx
NUCKS1Brain frontal cortex BA9118-0.55930.14953.11E-0425954001GTEx
NUCKS1Prostate1320.49270.13914.28E-0425954001GTEx
NUCKS1Whole blood2116NANA5.19E-0927918533BIOSQTL
NUCKS1Peripheral blood5311NANA3.41E-0624013639Westra-H
NUCKS1Lung2780.21740.062556.05E-0425954001GTEx
NUCKS1Whole blood3690.19940.047563.62E-0525954001GTEx
SLC41A1Thyroid278-0.32510.092415.21E-0425954001GTEx
SLC41A1Thyroid399-0.29090.069743.88E-0525954001GTEx
SLC41A1Lymphoblasto-id cell lines462NANA3.53E-0824037378Geuvadis
SLC41A1Brain anterior cingulate cortex BA24109-0.4670.12965.21E-0425954001GTEx
CFHR2Peripheral blood monocytes1490NANA4.47E-0620502693Zeller
PLIN1Whole blood5257-0.02090.004731.12E-0528122634Framingham
KRBA2Whole blood5257NANA2.69E-0528122634Framingham
ZNF43Whole blood52570.04350.010735.13E-0528122634Framingham
CBX1Whole blood52570.03520.008765.95E-0528122634Framingham
PGA4Whole blood5257-0.0420.010476.12E-0528122634Framingham
FGD1Whole blood52570.0130.003266.81E-0528122634Framingham
NFASCProstate870.70230.19014.49E-0425954001GTEx
NFASCPituitary87-0.59270.13956.98E-0525954001GTEx
SERPINB11Whole blood5257-0.03220.008137.55E-0528122634Framingham
SLC1A7Whole blood5257-0.01920.004857.56E-0528122634Framingham
TMEM54Whole blood5257-0.02530.006448.55E-0528122634Framingham
CCDC28AWhole blood52570.02270.005839.89E-0528122634Framingham
SLC45A3Adipose subcutaneous3850.26930.076224.72E-0425954001GTEx
MFSD4Cells transformed fibroblasts2720.5850.15057.32E-0425954001GTEx

Association between rs823093 variant and metabolites

Sixteen metabolites showed remarkable associations with rs823093 variant at P<0.01 such as Glycerol Isobutyrylcarnitine, Pantothenate, Lactate, 4-acetamidobutanoate, LDL, Serotonin (5HT), Gamma-glutamylleucine, Phosphate, Cholesterol, Caprylate, Oleate, Heptanoate, 7-methylguanine, Glucose and Nacetylornithine as listed in Table 4.
Table 4

Association between rs823093 and metabolites

MetaboliteNo. of sampleBetaSEP-valuePMID
Glycerol1735NANA1.60E-0421886157
Isobutyrylcarnitine1725NANA3.10E-0421886157
Pantothenate911NANA3.20E-0421886157
Lactate248710.062570.021584.65E-0327005778
4-acetamidobutanoate65230.0160.00574.92E-0324816252
LDL192730.058380.020644.99E-0327005778
Serotonin (5HT)57910.02810.01065.04E-0324816252
Gamma-glutamylleucine73540.01390.0055.04E-0324816252
Phosphate7341-0.01130.00427.04E-0324816252
Cholesterol7365-0.01270.00487.41E-0324816252
Caprylate7355-0.01540.00587.43E-0324816252
Oleate7323-0.01780.00677.58E-0324816252
Heptanoate7353-0.02950.01128.19E-0324816252
7-methylguanine58040.03490.01338.45E-0324816252
Glucose7325-0.00990.00389.16E-0324816252
N-acetylornithine71460.03260.01269.49E-0324816252
The expression of NUCKS1 gene in Parkinson's disease has been evaluated using GEO2R tool. Seven probes i.e. 226880_at, 223661_at, 229353_s_at, 224582_s_at, 217802_s_at, 224581_s_at and 222424_s_at were identified in the expression of NUCKS1 gene in gene expression profile of substantianigra of postmortem brain from Parkinson's disease patients. Each probe represent different region of NUCKS1 gene and may have same or different transcript. All these probes are found to be deregulated in Parkinson's cases compared with healthy individuals. Among these 226880_at is significantly deregulated with P = 2.99e-04 and log2 (fold change) = -0.861(Table 5). There are 18 different genes, which are regulated by rs823093 as described in Table 3. Simultaneously, evaluation of expression of other 17 genes with NUCKS1 revealed that three of them are also have different expression in Parkinson's cases i.e. RAB7L1, NFASC and MFSD4 at P<0.01 and multiple testing correction (MTC) threshold 0.000345 (Table 5). Further, network analysis of NUCKS1 gene with other expressed genes regulated by rs823093 variant, revealed that NUCKS1 is co-expressed with ZNF43 and PLIN1genes and ZNF43 shared a protein domain with KRBA2 gene (Figure 2).
Table 5

Expression analysis of genes including NUCKS1, regulated by rs823093 variant in Parkinson's disease dataset

Probe IDGenet-statistics Fold change (log2)P-value
239929_atPM20D11.088388760.372.87E-01
218700_s_atRAB7L12.198563880.4673.72E-02
218699_atRAB7L12.125738850.3974.34E-02
243777_atRAB7L1-1.36547912-0.5721.84E-01
226880_atNUCKS1-4.18256211-0.8612.99E-04
223661_atNUCKS1-2.09624443-0.6544.61E-02
224582_s_atNUCKS1-1.72103478-0.3169.74E-02
224581_s_atNUCKS1-1.2063773-0.1782.39E-01
217802_s_atNUCKS1-1.03533831-0.1833.10E-01
222424_s_atNUCKS1-0.775199-0.1424.45E-01
229353_s_atNUCKS1-0.0254664-0.5679.80E-01
225570_atSLC41A1-1.88066702-0.257.15E-02
206910_x_atCFHR21.400701540.2681.73E-01
205913_atPLIN1-0.49919732-0.2876.22E-01
1558533_atKRBA20.710727320.1874.84E-01
206695_x_atZNF43-1.79511489-0.2898.45E-02
222136_x_atZNF43-0.67058716-0.1115.09E-01
201518_atCBX10.775655570.8324.45E-01
213265_atPGA40.226726920.9658.22E-01
204819_atFGD11.70575220.3641.00E-01
213438_atNFASC-0.97811674-0.1893.37E-01
243645_atNFASC-0.87218298-0.3043.91E-01
1552463_atSERPINB110.992602340.4353.30E-01
210923_atSLC1A7-0.72614289-0.2884.74E-01
225536_atTMEM54-0.86172346-0.1633.97E-01
209479_atCCDC28A-1.74253691-0.3459.35E-02
228696_atSLC45A30.58127180.1245.66E-01
242372_s_atMFSD4-1.11253201-0.8082.76E-01
238862_atMFSD4-0.43285076-0.1886.69E-01
Figure 2

Correlation between NUCKS1 with other expressed genes

Discussion

Genome-wide association studies have shown that PARK16 locus has significant association with Parkinson's disease [26,27]. NUCKS1 is also reported as one of the important gene at PARK16 locus and has noteworthy association with PD [16]. NUCKS1 encodes a nuclear protein including phosphorylation sites for casein kinase 2 and cyclin-dependent kinases substrate. It is vertebrate specific gene ubiquities in the brain and peripheral tissues [29].The casein kinase 2 has been reported to be involved in altering the dopamine signaling as well as hyper phosphorylation of alpha-synuclein [30,31] and cyclin-dependent kinases, suppress dopamine D1 signaling in the striatum by phosphorylation of postsynaptic protein DARPP-32 [32]. Some previous studies have also reported that cell-cycle protein mediates the degeneration of dopaminergic neurons [7,33]. An earlier study reported that rs823128 variant of NUCKS1 might affect PD risk by altering the transcription factor-binding capability of the genes [34] and also reported as hub gene in a gene network analysis study on Parkinson's disease [35]. Hence, NUCKS1 may be crucial for cell cycle progression. Though a definite mechanism of NUCKS1 in PD is not known, it may presumably be involved in the pathogenesis of PD. A complete functional analysis of rs823093 variant of NUCKS1 gene predicated a score of 6, on application of RegulomeDB, using PWM method, suggesting that rs823093 is likely to affect OTX2 motif (chr1: 205689224 - 205689231b) and is associated with histone modification in blood and strong transcription in various parts of brain besides, heart, kidney and liver. Application of HaploReg (version 4.1), also suggested that rs823093 is associated with enhancement of histone modification in blood verifying the findings in HaploReg (version 4.1). PhenoScanner GWAS analysis, showed that rs823093 is not only associated with Parkinson disease, but also is significantly associated with other diseases or phenotypes including Plateletcrit, Mucinous ovarian cancer, Chronic kidney disease, ovarian cancer, Ulcerative colitis, Late onset Alzheimers disease and many other. A study on Alzheimer's disease in Han chinese population also suggested that Parkinson's disease GWAS-Linked loci i.e. RAB7L1-NUCKS1 is associated with late Alzheimer's disease [36]. The rs823114 variant of NUCKS1 also indicates decreased risk of susceptibility to PD in Han Chinese male and association of three candidate genetic variants in RAB7L1/NUCKS1, MCCC1 and STK39 with sporadic Parkinson's disease [37,38].It is interesting that GA haplotype is reported as risk factor for PD and phenoscanner testify that rs823093 is associated with GA haplotype [39]. PhenoScanner gene expression analysis showed that rs823093 is significantly associated with expression of multiple genes in multiple human tissues together with NUCKS1. Also rs823093 was identified to be expressively associated with other 16 metabolites including Serotonin (5HT) using PhenoScanner metabolites option. Interestingly serotogenic dysfunction has a direct relevance to Parkinson's disease non-motor symptoms, like depression, fatigue, weight changes, and visual hallucinations [40]. Substatianigra of postmortem human brain exhibited different expression of NUCKS1 gene in PD patients as compared with healthy samples (PD = 16; Healthy = 09), likewise the gene expression graph (Figure 3) for 226880_at probe depicts that NUCKS1 is down regulated in PD patients. Additionally, NUCKS1 is co-expressed with ZNF43 and PLIN1 genes where ZNF43 share a protein domain with KRBA2, in network analysis. Therefore it is presume that these three genes may also works as susceptible gene for PD pathogenesis but more study has to be needed.
Figure 3

Expression graph of NUCKS1 gene: PD Vs. Control

Conclusion

NUCKS1 is reported as one of the significant gene at PARK16 locus and has remarkable connotation with PD but its mechanism is not yet known. In current study a comprehensive functional analysis of rs823093 variant of NUCKS1 gene has been done using gene expression, disease association, network and metabolite analysis. The findings of stated analysis verified the possible association of NUCKS1 gene with PD, which may serve as susceptibility marker for PD.
  36 in total

1.  NUCKS1 is a novel regulator of milk synthesis in and proliferation of mammary epithelial cells via the mTOR signaling pathway.

Authors:  Xiaohan Yuan; Minghui Zhang; Jinxia Ao; Zhen Zhen; Xuejun Gao; Meng Li
Journal:  J Cell Physiol       Date:  2019-02-02       Impact factor: 6.384

2.  Fine mapping and resequencing of the PARK16 locus in Parkinson's disease.

Authors:  Lasse Pihlstrøm; Aina Rengmark; Kari Anne Bjørnarå; Nil Dizdar; Camilla Fardell; Lars Forsgren; Björn Holmberg; Jan Petter Larsen; Jan Linder; Hans Nissbrandt; Ole-Bjørn Tysnes; Espen Dietrichs; Mathias Toft
Journal:  J Hum Genet       Date:  2015-04-09       Impact factor: 3.172

3.  Genetic Polymorphism of NUCKS1 Is Associated With the Susceptibility of Adolescent Idiopathic Scoliosis.

Authors:  Leilei Xu; Chao Xia; Weixiang Sun; Xiaodong Qin; Yong Qiu; Zezhang Zhu
Journal:  Spine (Phila Pa 1976)       Date:  2017-11-01       Impact factor: 3.468

4.  Molecular cloning of a mammalian nuclear phosphoprotein NUCKS, which serves as a substrate for Cdk1 in vivo.

Authors:  A C Ostvold; J H Norum; S Mathiesen; B Wanvik; I Sefland; K Grundt
Journal:  Eur J Biochem       Date:  2001-04

5.  Association between PARK16 gene polymorphisms and susceptibility of Parkinson's disease in a Chinese population.

Authors:  H Xia; Q Luo; X X Li; X L Yang
Journal:  Genet Mol Res       Date:  2015-04-10

6.  The pRb/E2F cell-cycle pathway mediates cell death in Parkinson's disease.

Authors:  Günter U Höglinger; Joshua J Breunig; Candan Depboylu; Caroline Rouaux; Patrick P Michel; Daniel Alvarez-Fischer; Anne-Laurence Boutillier; James Degregori; Wolfgang H Oertel; Pasko Rakic; Etienne C Hirsch; Stéphane Hunot
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-21       Impact factor: 11.205

7.  NUCKS1 promotes gastric cancer cell aggressiveness by upregulating IGF-1R and subsequently activating the PI3K/Akt/mTOR signaling pathway.

Authors:  Ya-Kai Huang; Wei-Ming Kang; Zhi-Qiang Ma; Yu-Qin Liu; Li Zhou; Jian-Chun Yu
Journal:  Carcinogenesis       Date:  2019-04-29       Impact factor: 4.944

8.  Casein kinase 2 is the major enzyme in brain that phosphorylates Ser129 of human alpha-synuclein: Implication for alpha-synucleinopathies.

Authors:  Aasami Ishii; Takashi Nonaka; Sayuri Taniguchi; Taro Saito; Tetsuaki Arai; David Mann; Takeshi Iwatsubo; Shin-Ichi Hisanaga; Michel Goedert; Masato Hasegawa
Journal:  FEBS Lett       Date:  2007-09-06       Impact factor: 4.124

9.  An atlas of genetic influences on human blood metabolites.

Authors:  So-Youn Shin; Eric B Fauman; Ann-Kristin Petersen; Jan Krumsiek; Rita Santos; Jie Huang; Matthias Arnold; Idil Erte; Vincenzo Forgetta; Tsun-Po Yang; Klaudia Walter; Cristina Menni; Lu Chen; Louella Vasquez; Ana M Valdes; Craig L Hyde; Vicky Wang; Daniel Ziemek; Phoebe Roberts; Li Xi; Elin Grundberg; Melanie Waldenberger; J Brent Richards; Robert P Mohney; Michael V Milburn; Sally L John; Jeff Trimmer; Fabian J Theis; John P Overington; Karsten Suhre; M Julia Brosnan; Christian Gieger; Gabi Kastenmüller; Tim D Spector; Nicole Soranzo
Journal:  Nat Genet       Date:  2014-05-11       Impact factor: 38.330

10.  HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease.

Authors:  Lucas D Ward; Manolis Kellis
Journal:  Nucleic Acids Res       Date:  2015-12-10       Impact factor: 16.971

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