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He H, Zhang B, Wang X, Chen L. Knocking down GRAMD1C expression reduces 6-OHDA-induced apoptosis in PC12 cells. Toxicol Res (Camb) 2024; 13:tfae051. [PMID: 38638451 PMCID: PMC11023001 DOI: 10.1093/toxres/tfae051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 12/28/2023] [Indexed: 04/20/2024] Open
Abstract
Aim To explore the differential genes in Parkinson's disease (PD) through a preliminary GEO database, and to investigate the possible mechanisms. Materials and Methods The PD differentially expressed genes (DEGs) were analyzed by the microarray method. Then, these DEGs were applied to KEGG and GO analyses to predict the related signaling pathways and molecular functions. Comparison of GRAMD1C expression levels in the putamen of normal and Parkinson's patients by bioinformatic analysis. PC12 cells were cultured to construct a 6-hydroxydopamine (6-OHDA)-induced Parkinson's cell model. RT-qPCR was performed to detect the efficiency of GRAMD1C siRNA. MTT assay was conducted to examine the proliferation of cells. Then, the apoptosis of each group of cells was measured by flow cytometry. Western blot was carried out to determine the expression of apoptosis-related proteins. Results Through bioinformatics, GRAMD1C was confirmed to be one of the most significantly upregulated genes in PD. Furthermore, GRAMD1C was notably enhanced in the PD patients and 6-OHDA-induced PC12 cells. Besides, 6-OHDA stimulation significantly reduced PC12 cell proliferation, and it reverted with the GRAMD1C siRNA. Moreover, the flow cytometry results showed that knockdown of GRAMD1C could effectively reduce the high apoptosis rate of PC12 cells induced by 6-OHDA treatment. Similarly, western blot results found that 6-OHDA stimulation markedly increased the expression levels of Bax and Caspase 3Caspase 3 and decreased the Bcl-2 expression in PC12 cells, and GRAMD1C knockdown reversed these changes. Conclusion GRAMD1C is upregulated in PD, and may affect the PD process through the apoptotic pathway.
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Affiliation(s)
- Hui He
- Department of Nursing, Health Higher Vocational and Technical School of Nantong, No. 288 revitalizing East Road, Nantong Economic Development Zone, Nantong, 226010, China
| | - Bo Zhang
- Department of Nursing, Health Higher Vocational and Technical School of Nantong, No. 288 revitalizing East Road, Nantong Economic Development Zone, Nantong, 226010, China
| | - Xiang Wang
- Nantong Hospital of traditional Chinese Medicine, No. 41 Jianshe Road, Chongchuan District, Nantong, 226010, China
| | - Lulu Chen
- Department of Nursing, Health Higher Vocational and Technical School of Nantong, No. 288 revitalizing East Road, Nantong Economic Development Zone, Nantong, 226010, China
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Tan X, Zhang J, Dong J, Huang M, Zhou Z, Wang D. Novel Insights into the Circadian Rhythms Based on Long Noncoding and Circular RNA Profiling. Int J Mol Sci 2024; 25:1161. [PMID: 38256234 PMCID: PMC10816401 DOI: 10.3390/ijms25021161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/07/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
Circadian rhythm disorders pose major risks to human health and animal production activity, and the hypothalamus is the center of circadian rhythm regulation. However, the epigenetic regulation of circadian rhythm based on farm animal models has been poorly investigated. We collected chicken hypothalamus samples at seven time points in one light/dark cycle and performed long noncoding RNA (lncRNA), circular RNA (circRNA), and mRNA sequencing to detect biomarkers associated with circadian rhythm. We enhanced the comprehensive expression profiling of ncRNAs and mRNAs in the hypothalamus and found two gene sets (circadian rhythm and retinal metabolism) associated with the light/dark cycle. Noncoding RNA networks with circadian expression patterns were identified by differential expression and circadian analysis was provided that included 38 lncRNAs, 15 circRNAs, and 200 candidate genes. Three lncRNAs (ENSGALT00000098661, ENSGALT00000100816, and MSTRG.16980.1) and one circRNA (novel_circ_010168) in the ncRNA-mRNA regulatory network were identified as key molecules influencing circadian rhythm by regulating AOX1 in retinal metabolism. These ncRNAs were predicted to be related to pernicious anemia, gonadal, eye disease and other disorders in humans. Together, the findings of this study provide insights into the epigenetic mechanisms of circadian rhythm and reveal AOX1 as a promising target of circadian rhythm regulation.
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Affiliation(s)
| | | | | | | | | | - Deqian Wang
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (X.T.)
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Liang K, Bai S, Zhu H. Effects of cadmium, lead, mercury, chromium, and selenium co-treatment on egg quality and fatty acids. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27493-1. [PMID: 37199839 DOI: 10.1007/s11356-023-27493-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 05/03/2023] [Indexed: 05/19/2023]
Abstract
This study aimed to reveal the effect of selenium (Se) and heavy metals (chromium (Cr), cadmium (Cd), lead (Pb), and mercury (Hg)) on the quality, fatty acids, and 13 kinds of ions in the egg yolk and albumen. Four experimental groups were established, including a control group (control; basal diet), Se group (basal diet + Se), heavy metals group (basal diet + CdCl2 + Pb(NO3)2 + HgCl2 + CrCl3), and Se + heavy metal (HM) group (basal diet + Se + CdCl2 + Pb(NO3)2 + HgCl2 + CrCl3). Se supplementation significantly increased the experimental egg yolk percentage since Se accumulation mainly occurred in the yolks of the eggs. The Cr content in the yolks of the Se + heavy metal groups decreased at 28 days, while a significant reduction was evident in the Cd and Hg levels of the Se + heavy metal yolks compared to the heavy metal group at 84 days. The complex interactions between the elements were analyzed to determine the positive and negative correlations. Se displayed a high positive correlation with Cd and Pb in the yolk and albumen, while the heavy metals minimally affected the fatty acids in the egg yolk.
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Affiliation(s)
- Kehong Liang
- Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing, 100081, China.
| | - Shiping Bai
- Institute of Animal Nutrition, Feed Engineering Research Centre of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Hong Zhu
- Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing, 100081, China
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Gao G, Gao D, Zhao X, Xu S, Zhang K, Wu R, Yin C, Li J, Xie Y, Hu S, Wang Q. Genome-Wide Association Study-Based Identification of SNPs and Haplotypes Associated With Goose Reproductive Performance and Egg Quality. Front Genet 2021; 12:602583. [PMID: 33777090 PMCID: PMC7994508 DOI: 10.3389/fgene.2021.602583] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 02/24/2021] [Indexed: 01/10/2023] Open
Abstract
Geese are one of the most economically important waterfowl. However, the low reproductive performance and egg quality of geese hinder the development of the goose industry. The identification and application of genetic markers may improve the accuracy of beneficial trait selection. To identify the genetic markers associated with goose reproductive performance and egg quality traits, we performed a genome-wide association study (GWAS) for body weight at birth (BBW), the number of eggs at 48 weeks of age (EN48), the number of eggs at 60 weeks of age (EN60) and egg yolk color (EYC). The GWAS acquired 2.896 Tb of raw sequencing data with an average depth of 12.44× and identified 9,279,339 SNPs. The results of GWAS showed that 26 SNPs were significantly associated with BBW, EN48, EN60, and EYC. Moreover, five of these SNPs significantly associated with EN48 and EN60 were in a haplotype block on chromosome 35 from 4,512,855 to 4,541,709 bp, oriented to TMEM161A and another five SNPs significantly correlated to EYC were constructed in haplotype block on chromosome 5 from 21,069,009 to 21,363,580, which annotated by TMEM161A, CALCR, TFPI2, and GLP1R. Those genes were enriched in epidermal growth factor-activated receptor activity, regulation of epidermal growth factor receptor signaling pathway. The SNPs, haplotype markers, and candidate genes identified in this study can be used to improve the accuracy of marker-assisted selection for the reproductive performance and egg quality traits of geese. In addition, the candidate genes significantly associated with these traits may provide a foundation for better understanding the mechanisms underlying reproduction and egg quality in geese.
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Affiliation(s)
- Guangliang Gao
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
| | - Dengfeng Gao
- State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
| | - Xianzhi Zhao
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
| | | | - Keshan Zhang
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
| | - Rui Wu
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
| | - Chunhui Yin
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
| | - Jing Li
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
| | - Youhui Xie
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
| | - Silu Hu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Qigui Wang
- Institute of Poultry Science, Chongqing Academy of Animal Science, Chongqing, China
- Chongqing Engineering Research Center of Goose Genetic Improvement, Chongqing, China
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