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Imprinting at the KBTBD6 locus involves species-specific m ternal methylation and monoallelic expression in livestock animals

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Journal of Animal Science and biotechnology 2024年第1期15卷 127-145页

作者： Jinsoo Ahn In-Sul Hwang Mi-Ryung Park Seongsoo Hwang Kichoon Lee Department of Animal Sciences The Ohio State UniversityColumbusOH 43210USA Animal biotechnology division Rural Development AdministrationNational Institute of Animal ScienceJeonbuk 55365Republic of Korea Columbia Center for Translational Immunology Columbia University Irving Medical CenterColumbia UniversityNew YorkNY 10032USA Animal Welfare Research Team National Institute of Animal ScienceRDA1500Kongjwipatjwi‑roJeollabuk‑do 55365Republic of Korea

Background The primary differentially methylated regions(DMRs) which are maternally hypermethylated serve as imprinting control regions(ICRs) that drive monoallelic gene expression, and these ICRs have been investigated due to their implications in mammalian development. Although a subset of genes has been identified as imprinted, in-depth comparative approach needs to be developed for identification of species-specific imprinted genes. Here, we examined DNA methylation status and allelic expression at the KBTBD6 locus across species and tissues and explored potential mechanisms of *** Using whole-genome bisulfite sequencing and RNA-sequencing on parthenogenetic and normal porcine embryos, we identified a maternally hypermethylated DMR between the embryos at the KBTBD6 promoter Cp G island and paternal monoallelic expression of KBTBD6. Also, in analyzed domesticated mammals but not in humans, non-human primates and mice, the KBTBD6 promoter Cp G islands were methylated in oocytes and/or allelically methyl-ated in tissues, and monoallelic KBTBD6 expression was observed, indicating livestock-specific imprinting. Further analysis revealed that these Cp G islands were embedded within transcripts in porcine and bovine oocytes which coexisted with an active transcription mark and DNA methylation, implying the presence of transcription-dependent *** In this study, our comparative approach revealed an imprinted expression of the KBTBD6 gene in domesticated mammals, but not in humans, non-human primates, and mice which implicates species-specific evolution of genomic imprinting.

关键词： Differentially methylated region Domesticated mammal Imprinting KBTBD6 Parthenogenetic

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An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2029-2059页

作者： Sheetal Sharma Kamali Gupta DeepaliGupta Shalli Rani Gaurav Dhiman Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India PG Department of Information Technology Goswami Ganesh Dutta Sanatan Dharma CollegeChandigarh160030India Department of Computer Science Government Bikram College of CommercePatialaIndia Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon University Centre for Research and development Department of Computer Science and EngineeringChandigarh UniversityMohali140413India Department of Computer Science and Engineering Graphic Era Deemed to be UniversityDehradun248002India division of Research and development Lovely Professional UniversityPunjab144001India

The widespread adoption of the Internet of Things (IoT) has transformed various sectors globally, making themmore intelligent and connected. However, this advancement comes with challenges related to the effectiveness ofIoT devices. These devices, present in offices, homes, industries, and more, need constant monitoring to ensuretheir proper functionality. The success of smart systems relies on their seamless operation and ability to handlefaults. Sensors, crucial components of these systems, gather data and contribute to their functionality. Therefore,sensor faults can compromise the system’s reliability and undermine the trustworthiness of smart *** address these concerns, various techniques and algorithms can be employed to enhance the performance ofIoT devices through effective fault detection. This paper conducted a thorough review of the existing literature andconducted a detailed *** analysis effectively links sensor errors with a prominent fault detection techniquecapable of addressing them. This study is innovative because it paves theway for future researchers to explore errorsthat have not yet been tackled by existing fault detection methods. Significant, the paper, also highlights essentialfactors for selecting and adopting fault detection techniques, as well as the characteristics of datasets and theircorresponding recommended techniques. Additionally, the paper presents amethodical overview of fault detectiontechniques employed in smart devices, including themetrics used for evaluation. Furthermore, the paper examinesthe body of academic work related to sensor faults and fault detection techniques within the domain. This reflectsthe growing inclination and scholarly attention of researchers and academicians toward strategies for fault detectionwithin the realm of the Internet of Things.

关键词： Error fault detection techniques sensor faults outliers Internet of Things

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SIZ1-mediated SUMOylation of CPSF100 promotes plant thermomorphogenesis by controlling alternative polyadenylation

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Molecular Plant 2024年第9期17卷 1392-1406页

作者： Zhibo Yu Jun Wang Cheng Zhang Qiuna Zhan Leqian Shi Bing Song Danlu Han Jieming Jiang Junwen Huang Xiaolin Ou Zhonghui Zhang Jianbin Lai Qingshun Quinn Li Chengwei Yang Guangdong Provincial Key Laboratory of biotechnology for Plant development School of Life ScienceSouth China Normal UniversityGuangzhou 510631China Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems Cllege of the Environment and EcologyXiamen UniversityXiamenFujan 361102China biomedical Science division College of Dental MedicineWestern University of Health SciencesPomonaCA 91766USA

Under warm temperatures,plants adjust their morphologies for environmental adaption via precise gene expression ***,the function and regulation of alternative polyadenylation(APA),an important fine-tuning of gene expression,remains unknown in plant *** this study,we found that SUMOylation,a critical post-translational modification,is induced by a long-term treat-ment at warm temperatures via a SUMO ligase SIZ1 in *** of SIZ1 altered the global usage of polyadenylation signals and affected the APA dynamic of thermomorphogenesis-related ***100,a key subunit of the CPSF complex for polyadenylation regulation,is SUMOylated by ***,we demonstrated that SUMOylation is essential for the function of CPSF1oo in genome-wide polyadenylation site choice during *** analyses revealed that the SUMO conjugation on CPSF100 attenuates its interaction with two isoforms of its partner CPSF30,increasing the nuclear accumulation of CPsF1oo for polyadenylation *** summary,our study uncovers a regulatory mechanism of APA via SiZ1-mediated SUMOylation in plant thermomorpho-genesis.

关键词： alternative polyadenylation CPSF100 SiZ1 SUMOylation thermomorphogenesis

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Deep learning to develop zero-equation based turbulence model for CFD simulations of the built environment

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Building Simulation 2024年第3期17卷 399-414页

作者： Giovanni Calzolari Wei Liu division of Sustainable Buildings Department of Civil and Architectural EngineeringKTH Royal Institute of TechnologyBrinnelvägen 23Stockholm11428Sweden

This study aims to improve the accuracy and speed of predictions for thermal comfort and air quality in built environments by creating a coupled framework between computational fluid dynamics(CFD)simulations and deep learning *** coupling approach is showcased by the development of a data-driven turbulence *** new turbulence model is built using a deep learning neural network,whose mapping structure is based on a zero-equation turbulence model for built environment simulations,and is coupled with the CFD software OpenFOAM to create a hybrid *** neural network is a standard shallow multi-layer *** number of hidden layers and nodes per layer was optimized using Bayesan optimization *** framework is trained on an indoor environment case study,as well as tested on an indoor office simulation and an outdoor building array *** show that the deep learning based turbulence model is more robust and faster than traditional two-equation Reynolds average Navier-Stokes(RANS)turbulence models,while maintaining a similar level of *** model also outperforms the standard algebraic zero-equation model due to its superior ability to generalize to various flow *** some challenges,namely the mapping constraint,the limited training dataset size and the source of generation of training data,the hybrid framework demonstrates the viability of the coupling technique and serves as a starting point for future development of more reliable and advanced models.

关键词： neural networks computational fluid dynamics(CFD) turbulence model OpenFOAM

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Combined Insights from Leachate Structure and Microstructure Characteristics for Eating Quality of Convenience Rice Processed by Super-Heated and Pressurized Steam Technologies

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Rice science 2024年第4期31卷 475-488,I0035,I0036页

作者： Mingyo HA Hyo-Young JEONG Ju Hun LEE Hyun-Jung CHUNG division of Food and Nutrition Chonnam National UniversityGwangju 61186South Korea Department of biotechnology College of Life Sciences and BiotechnologyKorea UniversitySeoul 02841South Korea division of Food Science&Culinary Arts Shinhan UniversityGyeonggi 11644South Korea

Convenience rice has become widely popular due to its easy availability for cooking. This study investigated the starch structure and composition of leachate and the microstructure of reheated convenience rice using novel processing technologies: super-heated steaming(SHS), auto-electric cooking(AEC), and pressurized-steam cooking(PSC). Additionally, the effect of two different target water contents(58% and 63%) was also evaluated. The PSC_63% sample had the highest total solids and amylopectin amount in the leachate. The amylopectin amount in the leachate differed significantly based on the targeted water content. Morphological characterization revealed that the swelling of starch and the coated layer on the surface of rice grains were most pronounced in the PSC_63% sample due to the pressure processing. The textural hardness of the AEC_58% sample was much higher than that of the other samples. The PSC_63% sample had the highest textural adhesiveness value, which can be attributed to the highest amylopectin amount in the leachate. Sensory characterization showed that the PSC_63% sample had the highest glossiness, whiteness, moistness, and overall acceptability. The principal component analysis score plots presented substantial differences in the leachate and textural and sensory characteristics of reheated convenience rice among the different processing technologies.

关键词： reheated convenience rice starch structure leachate multi-scale structure eating quality processing technology

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