1.Efficient Strategy to Identify Gene-Gene Interactions and Its Application to Type 2 Diabetes.
Genomics & Informatics 2016;14(4):160-165
Over the past decade, the detection of gene-gene interactions has become more and more popular in the field of genome-wide association studies (GWASs). The goal of the GWAS is to identify genetic susceptibility to complex diseases by assaying and analyzing hundreds of thousands of single-nucleotide polymorphisms. However, such tests are computationally demanding and methodologically challenging. Recently, a simple but powerful method, named “BOolean Operation-based Screening and Testing” (BOOST), was proposed for genome-wide gene-gene interaction analyses. BOOST was designed with a Boolean representation of genotype data and is approximately equivalent to the log-linear model. It is extremely fast, and genome-wide gene-gene interaction analyses can be completed within a few hours. However, BOOST can not adjust for covariate effects, and its type-1 error control is not correct. Thus, we considered two-step approaches for gene-gene interaction analyses. First, we selected gene-gene interactions with BOOST and applied logistic regression with covariate adjustments to select gene-gene interactions. We applied the two-step approach to type 2 diabetes (T2D) in the Korea Association Resource (KARE) cohort and identified some promising pairs of single-nucleotide polymorphisms associated with T2D.
Cohort Studies
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Diabetes Mellitus, Type 2
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Genetic Predisposition to Disease
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Genome-Wide Association Study
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Genotype
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Korea
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Linear Models
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Logistic Models
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Mass Screening
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Methods
2.Correlation analysis of hyperarousal, personality characteristics, coping strategy with the vulnerability to stress-related sleep disturbance
Cunyou GAO ; Jingli GAN ; Lanmin ZHAO ; Xiquan ZHU ; Xuejun LIANG ; Tao CHEN ; Donghe LI
Chinese Journal of Behavioral Medicine and Brain Science 2015;24(2):162-165
Objective To explore the influence factors of hyperarousal,personality characteristics and coping strategies on the vulnerability to stress-related sleep disturbance.Methods A total of 345 sleep good healthy volunteers were recruited bypurposive sampling technique.Every participant completed an extensive survey that included the general condition questionnaire,Ford Insomnia Response to Stress Test (FIRST),PreSleep Arousal Scale (PSAS),NEO Personality Inventory-Revised (NEOPI-R),Coping Inventory for Stressful Situations (CISS) and Heart Rate Variability(HRV).All participants were classified as High risk group andLow risk group by using the FIRST criterion.Results The high risk group was younger than the low risk group (27.91±8.22 vs 24.82±7.73,P<0.01),and had a higher percentage of females (34.7% vs 53.4%,P<0.05).The high risk group showed significantly higher scores in PSAS total (30.11±6.22),pesleep cognitive arousal (17.73± 4.51),presleep somatic arousal (12.78 ± 3.23),neuroticism (3.13 ± 0.51),emotion oriented (48.98 ± 10.54),but lower score in extraversion (2.96±0.54),then those indicators of the low risk group (28.52±5.82,16.32±4.32,11.41±2.75; 3.11±0.56,2.87±0.47,46.23±11.21,3.11±0.56,P<0.01 or 0.05).There were significant difference between the two group in LF/HF (1.51 ±0.19 vs 1.17±0.11,P<0.01),HF((311.21 ±72.32) ms2/Hz vs (490.43 ± 91.74)ms2/Hz,P<0.01),LF((469.49±85.67)ms2/Hzvs (573.21±98.75) ms2/Hz,P<0.01) in HRV.Results of linear regression analysis showed that gender,and scores of PSAS total,cognitive arousal,presleep cognitive arousal,presleep somatic arousal,neuroticism,emotion oriented and LF/HF were significant correlation with FIRST score (P<0.01 or 0.05).Conclusion Presleep cognitive and somatic arousal,neurotic character may be the premorbid characteristics of stress-related sleep disturbance,and bad stress coping strategies are easy to promote the development of insomnia.
3.Determination of quercetin and kaempferol of four kinds of Semen Cuscutae in Shandong by HPLC
Huibin LIN ; Yanjie GU ; Jianqiang LIN ; Jianqun LIN ; Donghe SUN ; Ya LI
Chinese Traditional Patent Medicine 1992;0(08):-
Objective: To explore the differences among contents of quercetin and kaempferol in four kinds of Semen Cuscutae in Shandong province. Methods : Quercetin and kaempferol are determined by HPLC. Results : The contents of both quercetin and kaempferol are lower in four kinds of Semen Cuscutae. The former is within 0.0002% to 0.0502% and the latter varies from 0.0002% to 0.0205%, respectively. In seeds of Cuscuta chinensis Lam., C. japonica Choisy and C.lupuliformis Krocker, quercetin contents are much higher than kaempferol contents. while in seed of C. australis R.Br., by contrast, its quercetin content is lower than kaempferol. The contents of quercetin and kaempferol have close relation with both the variety and the hostplant. Conclusion : HPLC can be used for the quality evaluation of Semen Cuscutae.
4.Zfyve16 regulates the proliferation of B-lymphoid cells.
Xuemei ZHAO ; Donghe LI ; Qingsong QIU ; Bo JIAO ; Ruihong ZHANG ; Ping LIU ; Ruibao REN
Frontiers of Medicine 2018;12(5):559-565
Zfyve16 (a.k.a. endofin or endosome-associated FYVE-domain protein), a member of the FYVE-domain protein family, is involved in endosomal trafficking and in TGF-β, BMP, and EGFR signaling. The FYVE protein SARA regulates the TGF-β signaling pathway by recruiting Smad2/3 and accelerating their phosphorylation, thereby altering their susceptibility to TGF-β-mediated T cell suppression. Zfyve16 binds to Smad4 and their binding affects the formation of Smad2/3-Smad4 complex in TGF-β signaling. However, the in vivo function of Zfyve16 remains unknown. In this study, we generated a Zfyve16 knockout mouse strain (Zfyve16) and examined its hematopoietic phenotypes and hematopoietic reconstruction ability. The proportion of Tcells in the peripheral blood of Zfyve16 mice increases compared with that in wild-type mice. This finding is consistent with the role of Zfyve16 in facilitating TGF-β signaling. Unpredictably, B cell proliferation is inhibited in Zfyve16 mice. The proliferation potential of Zfyve16 B-lymphoid cells also significantly decreases in vitro. These results suggest that Zfyve16 inhibits the proliferation of T cells, possibly through the TGF-β signaling, but upregulates the proliferation of B-lymphoid cells.
Animals
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B-Lymphocytes
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metabolism
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CD4-Positive T-Lymphocytes
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metabolism
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Cell Movement
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Cell Proliferation
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genetics
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Intracellular Signaling Peptides and Proteins
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antagonists & inhibitors
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genetics
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metabolism
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Mice
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Mice, Knockout
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Serine Endopeptidases
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genetics
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metabolism
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Signal Transduction
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Smad Proteins, Receptor-Regulated
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metabolism
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Transforming Growth Factor beta
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metabolism
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Up-Regulation
5.DDB1- and CUL4-associated factor 8 plays a critical role in spermatogenesis.
Xiuli ZHANG ; Zhizhou XIA ; Xingyu LV ; Donghe LI ; Mingzhu LIU ; Ruihong ZHANG ; Tong JI ; Ping LIU ; Ruibao REN
Frontiers of Medicine 2021;15(2):302-312
Cullin-RING E3 ubiquitin ligase (CRL)-4 is a member of the large CRL family in eukaryotes. It plays important roles in a wide range of cellular processes, organismal development, and physiological and pathological conditions. DDB1- and CUL4-associated factor 8 (DCAF8) is a WD40 repeat-containing protein, which serves as a substrate receptor for CRL4. The physiological role of DCAF8 is unknown. In this study, we constructed Dcaf8 knockout mice. Homozygous mice were viable with no noticeable abnormalities. However, the fertility of Dcaf8-deficient male mice was markedly impaired, consistent with the high expression of DCAF8 in adult mouse testis. Sperm movement characteristics, including progressive motility, path velocity, progressive velocity, and track speed, were significantly lower in Dcaf8 knockout mice than in wild-type (WT) mice. However, the total motility was similar between WT and Dcaf8 knockout sperm. More than 40% of spermatids in Dcaf8 knockout mice showed pronounced morphological abnormalities with typical bent head malformation. The acrosome and nucleus of Dcaf8 knockout sperm looked similar to those of WT sperm. In vitro tests showed that the fertilization rate of Dcaf8 knockout mice was significantly reduced. The results demonstrated that DCAF8 plays a critical role in spermatogenesis, and DCAF8 is a key component of CRL4 function in the reproductive system.
Animals
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Cullin Proteins/genetics*
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DNA-Binding Proteins/genetics*
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Factor VIII
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Male
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Mice
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Mice, Knockout
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Spermatogenesis/genetics*
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Ubiquitin-Protein Ligases
6.Palmitoylation of GNAQ/11 is critical for tumor cell proliferation and survival in GNAQ/11-mutant uveal melanoma.
Yan ZHANG ; Baoyuan ZHANG ; Yongyun LI ; Yuting DAI ; Jiaoyang LI ; Donghe LI ; Zhizhou XIA ; Jianming ZHANG ; Ping LIU ; Ming CHEN ; Bo JIAO ; Ruibao REN
Frontiers of Medicine 2022;16(5):784-798
More than 85% of patients with uveal melanoma (UM) carry a GNAQ or GNA11 mutation at a hotspot codon (Q209) that encodes G protein α subunit q/11 polypeptides (Gαq/11). GNAQ/11 relies on palmitoylation for membrane association and signal transduction. Despite the palmitoylation of GNAQ/11 was discovered long before, its implication in UM remains unclear. Here, results of palmitoylation-targeted mutagenesis and chemical interference approaches revealed that the loss of GNAQ/11 palmitoylation substantially affected tumor cell proliferation and survival in UM cells. Palmitoylation inhibition through the mutation of palmitoylation sites suppressed GNAQ/11Q209L-induced malignant transformation in NIH3T3 cells. Importantly, the palmitoylation-deficient oncogenic GNAQ/11 failed to rescue the cell death initiated by the knock down of endogenous GNAQ/11 oncogenes in UM cells, which are much more dependent on Gαq/11 signaling for cell survival and proliferation than other melanoma cells without GNAQ/11 mutations. Furthermore, the palmitoylation inhibitor, 2-bromopalmitate, also specifically disrupted Gαq/11 downstream signaling by interfering with the MAPK pathway and BCL2 survival pathway in GNAQ/11-mutant UM cells and showed a notable synergistic effect when applied in combination with the BCL2 inhibitor, ABT-199, in vitro. The findings validate that GNAQ/11 palmitoylation plays a critical role in UM and may serve as a promising therapeutic target for GNAQ/11-driven UM.
Humans
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Mice
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Animals
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Lipoylation
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NIH 3T3 Cells
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Uveal Neoplasms/genetics*
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Melanoma/genetics*
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Cell Proliferation
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Proto-Oncogene Proteins c-bcl-2
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GTP-Binding Protein alpha Subunits, Gq-G11/genetics*