数字农科院2.0

Identification And Characterization Of Circrnas O.f Two Pig Breeds A s A New Biomarker In Metabolism-Related Diseases

文献类型: 外文期刊

作者: Li, A; Huang, WL; Zhang, XX; Xie, LL; Miao, XY

作者机构:

关键词: CircRNA; Pig; Subcutaneous fat; Fat deposition; Lipid metabolism; Diseases

期刊名称: CELLULAR PHYSIOLOGY AND BIOCHEMISTRY

ISSN: 1015-8987

年卷期: 2018 年 47 卷 6 期

页码:

收录情况: SCI

摘要: Background/Aims: CircRNAs, as miRNA sponges, participate in many important biological processes. However, it remains unclear whether circRNAs can regulate lipid metabolism. This paper aims to study the molecular mechanism of fat deposition and provide useful information for the prevention and therapy of lipid metabolism-related diseases. Methods: CircRNA sequencing was performed to investigate the expression of circRNAs in the subcutaneous adipose tissues of Large White pig and Laiwu pig. The expression of circRNAs was further validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Furthermore, circRNA-microRNAs (miRNA)-mRNA interaction networks were constructed using bioinformatics tools. In addition, GO and KEGG enrichment analyses were performed for the target genes of circRNAs. Results: In the subcutaneous adipose tissue of Laiwu pig, 70 up-regulated circRNAs and 205 down-regulated circRNAs were identified. Two circRNAs (up-regulated circRNA_26852 and down-regulated circRNA_11897), the expressions of which were confirmed by qRT-PCR, were selected for subsequent analysis. CircRNA-miRNA-mRNA interaction networks were constructed for circRNA_26852 and its target genes as well as circRNA_11897 and its target genes. GO and KEGG enrichment analyses reveal that the target genes of circRNA_26852 and circRNA_11897 are enriched in pathways related to adipocyte differentiation and lipid metabolism, as well as in disease-related pathways. Conclusions: In this study, circRNA sequencing and bioinformatics technique were used to analyze, for the first time, the expression of circRNAs in the subcutaneous adipose tissues of Large White pig and Laiwu pig. It is inferred that circRNAs might regulate adipogenic differentiation and lipid metabolism. The results provide a theoretical basis for further study on fat deposition mechanism and provide potential therapy targets for metabolism-related diseases. (C) 2018 The Author(s) Published by S. Karger AG, Basel

分类号:

  • 相关文献

[1]Reconstitution Of Ucp1 Using Crispr/Cas9 I.n The White Adipose T issue Of Pigs Decreases Fat Deposition And Improves Thermogenic Capacity. Zheng, QT, Lin, J, Huang, JJ, Zhang, HY, Zhang, R, Zhang, XY, Cao, CW, Hambly, C, Qin, GS, Yao, J, Song, RG, Jia, QT, Wang, X, Li, YS, Zhang, N, Piao, ZY, Ye, RC, Speakman, JR, Wang, HM, Zhou, Q, Wang, YF, Jin, WZ, Zhao, JG. 2017

[2]Differential Regulation Of Mrnas And L.ncrnas Related To Lipid M etabolism In Two Pig Breeds. Huang, WL, Zhang, XX, Li, A, Xie, LL, Miao, XY. 2017

[3]Transcriptome Analysis Of Landrace Pig S.ubcutaneous Preadipocytes During Adipogenic D ifferentiation. Zhao, XT, Chen, SK, Tan, Z, Wang, Y, Zhang, FX, Yang, T, Liu, YB, Ao, H, Xing, K, Wang, CD. 2019

[4]Atmospheric Ammonia Affects Myofiber Development And Lipid Metabolism In Growing Pig Muscle. Tang, SL, Xie, JJ, Zhang, S, Wu, WD, Yi, B, Zhang, HF. 2020

[5]Genome-Wide Analysis Of Mrnas And L.ncrnas Of Intramuscular Fat R elated To Lipid Metabolism In Two Pig Breeds. Huang, WL, Zhang, XX, Li, A, Xie, LL, Miao, XY. 2018

[6]基于全转录组测序的绵羊胚胎不同发育阶段骨骼肌circRNA的分析与鉴定. 石田培,王欣悦,侯浩宾,赵志达,尚明玉,张莉. 2020

[7]牛体内囊胚全转录组模式解析. 王晶晶,张培培,郝海生,杜卫华,庞云渭,权国波,赵善江,邹惠影,朱化彬,赵学明. 2020

[8]Characterization Of Circular Rnas In C.hinese Buffalo (Bubalus Bubalis) A dipose Tissue: A Focus On Circular Rnas Involved In Fat Deposition. Wei, Xuefeng,Huang, Jieping,Li, Fen,Ma, Yun,Zheng, Qiuzhi,Huang, Jieping,Lei, Chuzhao,Wang, Shuzhe,Ma, Yun,Shang, Jianghua,Zhao, Jinhui. 2019

[9]Genomic Scan For Selection Signature Reveals Fat Deposition In Chinese Indigenous Sheep With Extreme Tail Types. Zhao, FP, Deng, TY, Shi, LY, Wang, WW, Zhang, Q, Du, LX, Wang, LX. 2020

[10]Genome-Wide Association Studies Revealed Candidate G.enes For Tail Fat D eposition And Body Size In The Hulun Buir Sheep. Zhang, TY, Gao, HD, Sahana, G, Zan, YJ, Fan, HY, Liu, JX, Shi, LY, Wang, HW, Du, LX, Wang, LX, Zhao, FP. 2019

[11]A Recognition Method For Cucumber D.iseases Using Leaf Symptom I mages Based On Deep Convolutional Neural Network. Gong, Zhihong,Zheng, Feixiang,Du, Keming,Sun, Zhongfu,Zhang, Lingxian,Ma, Juncheng. 2018

[12]Mucosal-Associated Invariant T Cells: New I.nsights Into Antigen Recognition A nd Activation. Xiao, XX, Cai, JP. 2017

[13]Dietary Effects Of Soybean Products O.n Gut Microbiota And I mmunity Of Aquatic Animals: A Review. Zhou, Z, Ringo, E, Olsen, RE, Song, SK. 2018

[14]Identification of glycerophospholipids using self-built recognition software based on positive and negative ion high-resolution mass spectrometric fragmentation experiments. Zhao Y., Zhao X., Li T., Wang X., Zhong C., Wang X., Li P.. 2022

[15]A Recognition Method For Cucumber D.iseases Using Leaf Symptom Images Based On Deep Convolutional Neural Network. Ma, JC, Du, KM, Zheng, FX, Zhang, LX, Gong, ZH, Sun, ZF. 2018

[16]Progress in studies and control strategies for diseases of Coptis chinensis [黄连常见病害研究进展与防治策略]. Du Y.-X.,Jiang J.-Y.,Xu Y.,Li Z.-H.,Wang T.-L.,Guo L.-P.. 2021

[17]Dynamic Chromatin States Coupling with Key Transcription Factors in Colitis-Associated Colorectal Cancer. Chen L., Luo Z., Zhao C., Li Q., Geng Y., Xiao Y., Chen M.-K., Li L., Chen Z.-X., Wu M.. 2022

[18]Genome-wide identification and expression analysis of the Brassica oleracea L. chitin-binding genes and response to pathogens infections. Mingzhao Zhu,Shujin Lu,Mu Zhuang,Yangyong Zhang,Honghao Lv,Jialei Ji,Xilin Hou,Zhiyuan Fang,Yong Wang,Limei Yang. 2021

[19]Genetic Basis Of Spring Wheat Resistance To Leaf Rust (Puccinia Triticina) In Kazakhstan And Russia. Morgounov, A, Pozherukova, V, Kolmer, J, Gultyaeva, E, Abugalieva, A, Chudinov, V, Kuzmin, O, Rasheed, A, Rsymbetov, A, Shepelev, S, Ydyrys, A, Yessimbekova, M, Shamanin, V. 2020

[20]Spatial distribution of bacterial resistance towards antibiotics of rural sanitation system in China and its potential link with diseases incidence. Li H., Tan L., Zhang C., Wei X., Wang Q., Li Q., Zheng X., Xu Y.. 2023

作者其他论文 更多>>