Identifying long non-coding RNAs and characterizing their functional roles in swine mammary gland from colostrogenesis to lactogenesis

Shi Lijun,Zhang Longchao,Wang Ligang,Liu Xin,Gao Hongmei,Hou Xinhua,Zhao Fuping,Yan Hua,Cai Wentao,Wang Lixian 아세아·태평양축산학회 2022 Animal Bioscience Vol.35 No.6

Objective: This study was conducted to identify the functional long non-coding RNAs (lncRNAs) for swine lactation by RNA-seq data of mammary gland. Methods: According to the RNA-seq data of swine mammary gland, we screened lncRNAs, performed differential expression analysis, and confirmed the functional lncRNAs for swine lactation by validation of genome wide association study (GWAS) signals, functional annotation and weighted gene co-expression network analysis (WGCNA). Results: We totally identified 286 differentially expressed (DE) lncRNAs in mammary gland at different stages from 14 days prior to (-) parturition to day 1 after (+) parturition, and the expressions of most of lncRNAs were strongly changed from day –2 to day +1. Further, the GWAS signals of sow milk ability trait were significantly enriched in DE lncRNAs. Functional annotation revealed that these DE lncRNAs were mainly involved in mammary gland and lactation developing, milk composition metabolism and colostrum function. By performing weighted WGCNA, we identified 7 out of 12 lncRNA-mRNA modules that were highly associated with the mammary gland at day –14, day –2, and day +1, in which, 35 lncRNAs and 319 mRNAs were involved. Conclusion: This study suggested that 18 lncRNAs and their 20 target genes were promising candidates for swine parturition and colostrum occurrence processes. Our research provided new insights into lncRNA profiles and their regulating mechanisms from colostrogenesis to lactogenesis in swine. Objective: This study was conducted to identify the functional long non-coding RNAs (lncRNAs) for swine lactation by RNA-seq data of mammary gland.Methods: According to the RNA-seq data of swine mammary gland, we screened lncRNAs, performed differential expression analysis, and confirmed the functional lncRNAs for swine lactation by validation of genome wide association study (GWAS) signals, functional annotation and weighted gene co-expression network analysis (WGCNA).Results: We totally identified 286 differentially expressed (DE) lncRNAs in mammary gland at different stages from 14 days prior to (-) parturition to day 1 after (+) parturition, and the expressions of most of lncRNAs were strongly changed from day –2 to day +1. Further, the GWAS signals of sow milk ability trait were significantly enriched in DE lncRNAs. Functional annotation revealed that these DE lncRNAs were mainly involved in mammary gland and lactation developing, milk composition metabolism and colostrum function. By performing weighted WGCNA, we identified 7 out of 12 lncRNA-mRNA modules that were highly associated with the mammary gland at day –14, day –2, and day +1, in which, 35 lncRNAs and 319 mRNAs were involved.Conclusion: This study suggested that 18 lncRNAs and their 20 target genes were promising candidates for swine parturition and colostrum occurrence processes. Our research provided new insights into lncRNA profiles and their regulating mechanisms from colostrogenesis to lactogenesis in swine.

Coordinated Virtual Inertia Control Strategy for D-PMSG Considering Frequency Regulation Ability

Shi, Qiaoming,Wang, Gang,Ma, Weiming,Fu, Lijun,Wu, You,Xing, Pengxiang The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.6

In the process of virtual inertia control (VIC), the frequency regulation capability of the directly-driven wind turbine with permanent-magnet synchronous generator (D-PMSG) on wind farm is related to its rotor kinetic energy and capacity margin. This paper proposes the method for assessing the D-PMSG frequency regulation capability and defining its coefficient according to the operating state of wind power generators. In addition, the calculating method of parameters in VIC is also discussed according to the principles of primary frequency regulation and inertia response of synchronous generators. Then, by introducing the capability coefficient into the proportion-differential virtual inertia control (PD-VIC) for power coordination, a coordinated virtual inertia control (C-VIC) strategy is developed, with the consideration of the difference in frequency regulation capability between wind power generators. The proposed control method can not only give full play to the frequency regulation capability of wind power generators, decrease the movements of the pitch angle control system but also bring some self-coordination capability to different wind power generators thus to avoid a secondary drop in system frequency. The simulations and experiments prove the proposed method to be effective and practicable.

Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control

Shi, Qiaoming,Wang, Gang,Fu, Lijun,Liu, Yang,Wu, You,Xu, Li The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.5

The virtual inertia control (VIC) of wind turbine with directly-driven permanent-magnet synchronous generator (D-PMSG) can act similarly to the conventional synchronous generator in inertia response and frequency control, thereby supporting the system frequency stability. However, because the wind speed is inconstant and changeable to a certain extent and the D-PMSG is a complex nonlinear system, there are great difficulties in the virtual inertia optimal control of the D-PMSG. Based on the design principle of the active disturbance rejection control (ADRC), this paper presents a new VIC strategy for the D-PMSG from the perspective of power disturbance suppression in the system. The strategy helps fulfill the power grid disturbance estimation and compensation by means of the extended state observer (ESO) so as to improve the disturbance-resisting performance of the system. Compared with conventional proportional-derivative virtual inertia control (PDVIC), this method, which is of better adaptability and robustness, can not only improve the property of the D-PMSG responding to the system frequency but also reduce the influence of wind speed disturbance. The simulation and experiment results have verified the effectiveness and feasibility of the VIC based on the ADRC.

Coordinated Virtual Inertia Control Strategy for D-PMSG Considering Frequency Regulation Ability

Qiaoming Shi,Gang Wang,Weiming Ma,Lijun Fu,You Wu,Pengxiang Xing 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.6

In the process of virtual inertia control (VIC), the frequency regulation capability of the directly-driven wind turbine with permanent-magnet synchronous generator (D-PMSG) on wind farm is related to its rotor kinetic energy and capacity margin. This paper proposes the method for assessing the D-PMSG frequency regulation capability and defining its coefficient according to the operating state of wind power generators. In addition, the calculating method of parameters in VIC is also discussed according to the principles of primary frequency regulation and inertia response of synchronous generators. Then, by introducing the capability coefficient into the proportion-differential virtual inertia control (PD-VIC) for power coordination, a coordinated virtual inertia control (C-VIC) strategy is developed, with the consideration of the difference in frequency regulation capability between wind power generators. The proposed control method can not only give full play to the frequency regulation capability of wind power generators, decrease the movements of the pitch angle control system but also bring some self-coordination capability to different wind power generators thus to avoid a secondary drop in system frequency. The simulations and experiments prove the proposed method to be effective and practicable.

Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control

Qiaoming Shi,Gang Wang,Lijun Fu,Yang Liu,You Wu,Li Xu 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.5

The virtual inertia control (VIC) of wind turbine with directly-driven permanent-magnet synchronous generator (D-PMSG) can act similarly to the conventional synchronous generator in inertia response and frequency control, thereby supporting the system frequency stability. However, because the wind speed is inconstant and changeable to a certain extent and the D-PMSG is a complex nonlinear system, there are great difficulties in the virtual inertia optimal control of the D-PMSG. Based on the design principle of the active disturbance rejection control (ADRC), this paper presents a new VIC strategy for the D-PMSG from the perspective of power disturbance suppression in the system. The strategy helps fulfill the power grid disturbance estimation and compensation by means of the extended state observer (ESO) so as to improve the disturbance-resisting performance of the system. Compared with conventional proportional-derivative virtual inertia control (PDVIC), this method, which is of better adaptability and robustness, can not only improve the property of the DPMSG responding to the system frequency but also reduce the influence of wind speed disturbance. The simulation and experiment results have verified the effectiveness and feasibility of the VIC based on the ADRC.

Robust Model Predictive Control for Multi-phase Batch Processes with Asynchronous Switching

Hui Li,Lijun Song,Xueying Jiang,Huiyuan Shi,Chengli Su,Ping Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.1

A robust asynchronous switching model predictive controller is designed for multi-phase batch processes with uncertainties, unknown disturbances and time-varying set-point. Firstly, in view of the influence of timevarying set-point and disturbances, an asynchronous switching model with stable and unstable cases is established. Based on the switching model, a robust asynchronous switching model predictive control law is designed. Secondly, by using relevant theories and methods, the sufficient conditions with the form of linear matrix inequality (LMI) are given to ensure that the multi-phase batch processes are asymptotically stable at each phase and exponentially stable at each batch. Then, these LMI conditions are solved online to obtain the control gain of each phase, the shortest running time of each stable case, and the longest running time of each unstable case. Finally, the effectiveness and feasibility of the proposed method are verified by taking the injection molding process as an example.

Genome-wide DNA methylation pattern in a mouse model reveals two novel genes associated with Staphylococcus aureus mastitis

Wang, Di,Wei, Yiyuan,Shi, Liangyu,Khan, Muhammad Zahoor,Fan, Lijun,Wang, Yachun,Yu, Ying Asian Australasian Association of Animal Productio 2020 Animal Bioscience Vol.33 No.2

Objective: Staphylococcus aureus (S. aureus) is one of the major microorganisms responsible for subclinical mastitis in dairy cattle. The present study was designed with the aim to explore the DNA methylation patterns using the Fluorescence-labeled methylation-sensitive amplified polymorphism (F-MSAP) techniques in a S. aureus-infected mouse model. Methods: A total of 12 out-bred Institute of Cancer Research female mice ranging from 12 to 13 weeks-old were selected to construct a mastitis model. F-MSAP analysis was carried out to detect fluctuations of DNA methylation between control group and S. aureus mastitis group. Results: Visible changes were observed in white cell counts in milk, percentage of granulocytes, percentage of lymphocytes, CD⁴⁺/CD⁸⁺ ratio (CD⁴⁺/CD⁸⁺), and histopathology of mice pre- and post-challenge with S. aureus. These findings showed the suitability of the S. aureus-infected mouse model. A total of 369 fragments was amplified from udder tissue samples from the two groups (S. aureus-infected mastitis group and control group) using eight pairs of selective primers. Results indicated that the methylation level of mastitis mouse group was higher than that in the control group. In addition, NCK-associated protein 5 (Nckap5) and transposon MTD were identified to be differentially methylated through secondary polymerase chain reaction and sequencing in the mastitis group. These observations might play an important role in the development of S. aureus mastitis. Conclusion: Collectively, our study suggests that the methylation modification in Nckap5 and transposon MTD might be considered as epigenetic markers in resistance to S. aureus-infected mastitis and provided a new insight into S. aureus mastitis research in dairy industry and public health.

Missing Data Imputation Based on Grey System Theory

Guoming Sang,Kai Shi,Zhi Liu,Lijun Gao 보안공학연구지원센터 2014 International Journal of Hybrid Information Techno Vol.7 No.2

Association Between Metabolic Risk Factors and Cognitive Impairment in Schizophrenia Based on Sex

Hongna Huang,Lizhao Du,Zhengping Pu,Yuan Shi,Zifan Xiao,Xi Chen,Shun Yao,Lijun Wang,Zezhi Li,Ting Xue,Donghong Cui 대한신경정신의학회 2023 PSYCHIATRY INVESTIGATION Vol.20 No.10

Objective Sex differences have been observed in many aspects of schizophrenia, including cognitive deficits. Despite extensive research into the relationship between metabolic factors and cognitive deficits in schizophrenia, few studies have explored the potential sex difference in their association. Methods We recruited 358 schizophrenia patients and 231 healthy controls. The participants underwent measurements of body mass index (BMI), waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, and fasting blood glucose. Metabolic risk factors included abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. A collection of these metabolic risk factors has been defined as metabolic syndrome. These diagnoses were based on the criteria of the National Cholesterol Education Program’s Adult Treatment Panel III. Cognitive performance was measured using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). A descriptive analysis, difference analysis, and linear regression model were used to identify the metabolic risk factors for cognitive function in schizophrenia. Results Our findings revealed sex differences in the rate of abdominal obesity and hypertension in schizophrenic patients. Additionally, we observed sex differences in the association between metabolic risk factors and cognitive impairment in schizophrenia. Specifically, hyperglycemia was associated with the immediate memory index score of RBANS in male patients, while dyslipidemia was associated with language, attention, delayed memory index scores, and RBANS total score in female patients. Conclusion Our results suggest that sex should be considered when evaluating the impact of metabolic disorders on the cognitive function of schizophrenic patients. Moreover, our study identifies hyperglycemia and dyslipidemia as potential targets for precise treatment by sex stratification, which could benefit the improvement of cognitive impairment in schizophrenic patients.

Long-term corrosion inhibition for AA5052 aluminum alloy by an eco-friendly hybrid inhibitor: Synergism inhibition between rosemary extract and zinc chloride in 0.05 M NaCl solution

Jingbao Wang,Jingmao Zhao,Mohammad Tabish,Lijun Peng,Qi Cheng,Fan Shi 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-

The long-term corrosion inhibition for AA5052 aluminum alloy was achieved by the hybrid inhibitorcombined by rosemary extract (RSE) and zinc chloride (ZnCl2) which could offer more than 30 days ofprotection for AA5052 Al alloy in a 0.05 M NaCl solution. The highest efficiency of ZnCl2, RSE, and hybridinhibitor (ZR) reached 67.34 %, 88.41 % and 96.48 % at 2000 ppm, respectively. The excellent inhibitionperformance of the hybrid inhibitor was attributed to the synergism between RSE and ZnCl2. The electrochemicalmeasurements show that the long-term inhibition performance is due to the combination ofadsorption film and Zn oxide/hydroxide precipitated film