Article
Oncology
Dongsheng Yue, Weiran Liu, Liuwei Gao, Lianmin Zhang, Tao Wang, Shanshan Xiao, Yingxue Fu, Nan Li, Rui Lin, Yao Hu, Lieming Ding, Zhenfa Zhang, Bin Zhang, Changli Wang
Summary: This study conducted a comprehensive multi-omics analysis of early and late-stage LUAD, revealing important molecular differences in regulatory mechanisms during cancer progression, including gene mutations, copy number variations, and gene expression.
FRONTIERS IN ONCOLOGY
(2021)
Article
Plant Sciences
Kuan-Chieh Tseng, Nai-Yun Wu, Chi-Nga Chow, Han-Qin Zheng, Chin-Yuan Chou, Chien-Wen Yang, Ming-Jun Wang, Song-Bin Chang, Wen-Chi Chang
Summary: This study developed JustRNA, an expression profiling resource for plant lncRNAs. The platform contains a large number of lncRNA annotations and RNA-seq samples for multiple plant species. Functional network reconstruction, genomic association analysis, microRNA target prediction, and co-expression analysis were used to investigate the regulatory mechanisms of plant lncRNAs. The integration of chromatin immunoprecipitation sequencing data further identified the transcriptional regulation of lncRNAs in several plant species.
JOURNAL OF EXPERIMENTAL BOTANY
(2023)
Article
Cell Biology
Wei Xu, Linna Chen, Jiheng Liu, Zhezhe Zhang, Ranran Wang, Qianqian Zhang, Huiting Li, Juanjuan Xiang, Li Fang, Ping Xu, Zheng Li
Summary: This study reveals that TGF-beta-induced LINC00152 promotes metastasis in lung adenocarcinoma through the involvement of HuR and the regulation of transcription factors ZEB1, SNAI1, and SNAI2, which ultimately leads to epithelial-mesenchymal transition and enhanced metastatic ability.
CELL DEATH & DISEASE
(2022)
Article
Cell Biology
Yafei Ding, Tao Wang, Yuankang Feng, Xiaohui Ding, Xiang Li, Zhenlin Huang, Zhankui Jia, Jun Wang, Jinjian Yang
Summary: In this study, m6A-related lncRNAs were found to have prognostic value in adrenocortical adenocarcinoma. A risk model based on these lncRNAs was developed to predict patient prognosis and survival.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Multidisciplinary Sciences
HuiWei Chen, Zhimin Xie, QingZhu Li, GenYi Qu, NianXi Tan, YuLong Zhang
Summary: By constructing a risk coefficient model of necroptosis-related long non-coding RNA, novel potential biomarkers for predicting the sensitivity to chemotherapeutic agents and prognosis of patients with lung adenocarcinoma (LUAD) were identified. The model can classify patients into high-risk and low-risk groups and predict their sensitivity to chemotherapy.
SCIENTIFIC REPORTS
(2022)
Article
Cell & Tissue Engineering
Tao Li, Yingxing Xu, Yingzhen Wang, Yaping Jiang
Summary: The study found that the effect of Dex depended on exposure time and concentration, with continuous exposure to 10(-6)mol/L Dex for 7 days being a suitable protocol for inducing apoptosis of hBMSCs. Differentially expressed lncRNAs and mRNAs associated with apoptosis, cell cycle, and proliferation were identified, providing a new research direction for further studies.
STEM CELL RESEARCH & THERAPY
(2021)
Article
Cell Biology
Heng Zhang, Shao-Qiang Wang, Li Wang, Hang Lin, Jie-Bo Zhu, Ri Chen, Lin-Feng Li, Yuan-Da Cheng, Chao-Jun Duan, Chun-Fang Zhang
Summary: In this study, it was found that SNHG17 promotes gefitinib resistance in LUAD by epigenetically repressing LATS2 expression via recruiting EZH2 and inducing m6A modifications.
CELL DEATH & DISEASE
(2022)
Article
Biochemistry & Molecular Biology
Mengyu Xie, Long Zhang, Linyu Han, Linying Huang, Yizhou Huang, Ming Yang, Nasha Zhang
Summary: The ASH1L-AS1-ASH1L regulatory axis plays a significant role in histone modification reprogramming and activation of the RAS signaling pathway, making it a potential novel target for gastric cancer therapeutics and diagnosis.
Article
Genetics & Heredity
Hanyi He, Xinlu Wang, Yueyue Lu, Xiaojiang Lin, Yuandong Li, Yong Li, Zhihong Lin, Zhiqi Ma, Xiaolin Cao, Yaoshu Teng
Summary: This study explored the expression profile, potential functions, and diagnostic and clinical significance of lncRNAs in sinonasal inverted papilloma (SNIP). The results suggest that lnc-AKTIP may serve as a valuable diagnostic biomarker and therapeutic target for SNIP.
FRONTIERS IN GENETICS
(2022)
Article
Oncology
Siwei Wang, Chencheng Han, Tongyan Liu, Zhifei Ma, Mantang Qiu, Jie Wang, Qingjun You, Xiufen Zheng, Weizhang Xu, Wenjia Xia, Youtao Xu, Jingwen Hu, Lin Xu, Rong Yin
Summary: The study identified FAM83H-AS1 as a potential noncoding oncogenic driver in LUAD, promoting malignant progression and inhibiting apoptosis by binding HNRNPK to enhance the translation of antiapoptotic oncogenes RAB8B and RAB14. Targeting FAM83H-AS1 showed therapeutic potential in inhibiting LUAD progression in vivo.
CLINICAL AND TRANSLATIONAL MEDICINE
(2021)
Article
Virology
Jian-guo Dong, Ming-rui Chen, Dan Rao, Ning Zhang, Shuhai He, Lei Na
Summary: Recent studies have shown that lncRNAs play a role in host metabolism during PRV infection. Through RNA sequencing analysis, differentially expressed mRNAs, annotated lncRNAs, and new lncRNAs associated with metabolic regulation and immunity-related signalling pathways were identified. Real-time PCR confirmed the significant expression of mRNAs and lncRNAs involved in immune regulation, T-cell receptor signalling, TNF signalling, MAPK signalling, and chemokine signalling pathways, suggesting their potential role in PRV infection.
ARCHIVES OF VIROLOGY
(2023)
Article
Oncology
Hao-Shuai Yang, He-Yuan Cai, Shi-Chao Shan, Ting-Fei Chen, Jian-Yong Zou, Maimaiti Abudurufu, Hong-He Luo, Yi-Yan Lei, Zun-Fu Ke, Ying Zhu
Summary: This study explores the role of methylation of N6 adenosine (m6A)-related long noncoding RNA (lncRNA) in stratifying risk for patients with 'driver-gene-negative' lung adenocarcinoma (LUAD). Clusters and risk models based on unique expression profiles of 46 m6AlncRNAs were found to be closely related to immune characteristics and chemosensitivity. Additionally, it was discovered that DIO3OS is associated with the development of various cancers and has potential clinical applications.
MOLECULAR ONCOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Tiancheng Li, Han Wang, Kai Xia, Zuping Wu, Ruojing Liu, Xing Yin, Chenchen Zhou, Yuyu Li, Shujuan Zou
Summary: This study identified differential expression of 190 lncRNAs and 135 mRNAs during intermittent PTH-induced cementogenesis, with eight lncRNAs identified as possible core regulators of the negatively regulated Wnt signaling pathway. The study further verified the repressed expression of key components of the Wnt signaling pathway, suggesting that lncRNAs may play important roles in PTH-induced cementogenesis through Wnt pathway regulation.
Retraction
Biochemistry & Molecular Biology
Xin Wen, Xin-Rui Han, Yong-Jian Wang, Shao-Hua Fan, Juan Zhuang, Zi-Feng Zhang, Qun Shan, Meng-Qiu Li, Bin Hu, Chun-Hui Sun, Qiao Wu, Jun-Hua Tan, Dong-Mei Wu, Jun Lu, Yuan-Lin Zheng
Summary: The research article was retracted due to the discovery that image elements of the experimental data had been published elsewhere in a different scientific context, leading the editors to deem the conclusions invalid.
JOURNAL OF CELLULAR BIOCHEMISTRY
(2021)
Article
Oncology
Vinicius Ferreira da Paixao, Omar Julio Sosa, Diogo Vieira da Silva Pellegrina, Bianca Dazzani, Thalita Bueno Correa, Ester Riserio Bertoldi, Luis Bruno da Cruz e Alves-de-Moraes, Diogo de Oliveira Pessoa, Victoria de Paiva Oliveira, Ricardo Alberto Chiong Zevallos, Lilian Cristina Russo, Fabio Luis Forti, Joao Eduardo Ferreira, Helano Carioca Freitas, Jose Jukemura, Marcel Cerqueira Cesar Machado, Maria Dirlei Begnami, Joao Carlos Setubal, Daniela Sanchez Basseres, Eduardo Moraes Reis
Summary: Transcriptome analysis of PDAC identified numerous lncRNAs, with some showing significant associations with patient outcomes. Knockdown of certain lncRNAs led to reduced cell proliferation, migration, and invasion. Gene co-expression network analysis revealed associations between deregulated lncRNAs and various biological processes, such as cell adhesion and DNA repair, with potential implications for therapeutic development.
Article
Computer Science, Information Systems
Hui Sun, Bo Zhang, Xiuye Zhang, Ying Yu, Kewei Sha, Weisong Shi
Summary: This article proposes a flexible cloud-edge collaborative scheduling strategy based on a UAV named FlexEdge, which optimizes task allocation and UAV location to minimize execution time and energy consumption, and provides computing resources and reliable network connection to reduce task offloading overload.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Optics
Chaoliang Chen, Weisong Shi, Victor X. D. Yang, Wanrong Gao
Summary: In optical coherence tomographic angiography (OCTA), suppressing bulk motion is crucial for obtaining high-contrast microvascular images. By optimizing the time interval, it is possible to achieve motion-suppressed images without the need for image registration.
OPTICS COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Jillian L. Cardinell, Joel M. Ramjist, Chaoliang Chen, Weisong Shi, Nhu Q. Nguyen, Tiffany Yeretsian, Matthew Choi, David Chen, Dewi S. Clark, Anne Curtis, Helen Kim, Marie E. Faughnan, Victor X. D. Yang
Summary: This study utilizes optical coherence tomography (OCT) to image and quantitatively characterize dermal HHT lesions in order to understand the dynamic processes of the disease. Refined metrics specifically tailored for HHT were developed based on a pilot study and presented alongside preliminary results in this paper. The use of this imaging modality provides a non-invasive and efficient method to analyze and understand HHT lesions.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Lanyu Xu, Arun Iyengar, Weisong Shi
Summary: Cloud-based Natural Language Understanding (NLU) services are gaining popularity in the field of artificial intelligence. This article comprehensively evaluates multiple state-of-the-art NLU services and proposes NLUBroker, a Quality of Experience-driven broker system, to select the proper service based on the environment. The performance evaluation results demonstrate that NLUBroker is an efficient solution for selecting NLU services, outperforming three baseline methods and improving overall QoE up to 1.5x.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2022)
Editorial Material
Computer Science, Software Engineering
Ye Sun, Weisong Shi
Summary: With advancements in IoT, wireless communication, edge/cloud computing, and AI, the connection between humans and their environment has significantly increased, ushering in a new era of connected living. This special issue of IEEE Internet Computing explores technologies and human-technology interactions that enhance well-being management and quality of life. The articles in this issue investigate new technologies, visions, and projects in human-technology interactions towards connected living.
IEEE INTERNET COMPUTING
(2023)
Article
Optics
Chenxia Xie, Wanrong Gao, Yue Zhang, Weisong Shi
Summary: In this study, a method of deriving particle density information from temporal statistics of optical coherence tomography (OCT) signals is presented. By conducting phantom experiments with high and low concentration solutions, the probability density distribution of structural information at a specific depth is obtained, and four parameters are defined to characterize the curves. Through in vivo experiments on human skin, it is found that the four parameters of the skin are not strongly related to those of the simulated solution, and the reasons for this phenomenon are analyzed. The preliminary results of this research show that the probability density distribution, which has a depth dependence, is also affected by the sample concentration.
OPTICS COMMUNICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Javad Roostaei, Yongli Z. Wager, Weisong Shi, Timothy Dittrich, Carol Miller, Kishore Gopalakrishnan
Summary: This research explores the applications of a coupled IoT sensor network with Edge Computing (IoTEC) for improved environmental monitoring. Two pilot applications were designed to compare data latency, energy consumption, and economic cost between the IoTEC approach and the conventional sensor monitoring method. The results demonstrate significant reductions in data latency, data transmission, and increased power supply duration with the IoTEC approach.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Jiashun Suo, Tianyi Wang, Xingzhou Zhang, Haiyang Chen, Wei Zhou, Weisong Shi
Summary: We introduce the HIT-UAV dataset, which is a collection of high-altitude infrared thermal images for object detection on UAVs. The dataset consists of 2,898 infrared thermal images extracted from hundreds of videos captured by UAVs in different scenarios. The HIT-UAV also provides flight data and manually annotated bounding boxes of object instances to tackle the challenge of object overlap in aerial images. Compared to visual light datasets, our results show that well-established object detection algorithms perform exceptionally well on the HIT-UAV, making it a valuable resource for UAV-based applications and research.
Article
Optics
Chaoliang Chen, Yurui Pu, Weisong Shi
Summary: In this study, a low-cost, high-resolution spectrometer design for ultra-high resolution optical coherence tomography (UHR-OCT) is presented, in which multiple standard achromatic lenses are used to replace the expensive F-theta lens. The proposed method achieves comparable performance and reduces the cost significantly.
CHINESE OPTICS LETTERS
(2023)
Proceedings Paper
Automation & Control Systems
Liangkai Liu, Ren Zhong, Aaron Willcock, Nathan Fisher, Weisong Shi
Summary: This paper proposes a comprehensive energy prediction model for autonomous mobile robots (AMRs). By conducting empirical studies on real robots, the authors identify a lack of coordination between computation and control as a major source of energy inefficiency. They propose three path models to address the obstacle avoidance problem and evaluate the performance of their energy prediction and path models using a customized AMR. The results show accurate energy prediction and significant reduction in energy consumption through energy-efficient path selection.
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2023)
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Sidi Lu, Ren Zhong, Weisong Shi
Summary: This paper presents teleoperation as a promising solution to bridge the gap between current autonomous driving capabilities and the widespread adoption of CAVs. It discusses the technical considerations, improvement techniques, and evaluation criteria for teleoperation performance. Additionally, it summarizes the major research efforts and different use cases of teleoperation.
2022 IEEE 19TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Yongtao Yao, Bin Liu, Yiwei Zhao, Weisong Shi
Summary: This paper proposes an Android-based distributed computing framework for accelerating DNN inference on Android edge devices. Experimental results show that the framework can significantly reduce CPU utilization and power consumption without affecting the bandwidth throughput.
2022 IEEE/ACM 7TH SYMPOSIUM ON EDGE COMPUTING (SEC 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Prabhjot Kaur, Weisong Shi
2022 IEEE/ACM 7TH SYMPOSIUM ON EDGE COMPUTING (SEC 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Sidi Lu, Weisong Shi
Summary: This article introduces a vehicle-edge-cloud framework for handling data analysis and decision-making in connected and autonomous vehicles (CAVs). The article proposes a method for real-time detection and edge video reconstruction on the vehicle, with the results sent to the cloud for vehicle model updates. Additionally, reinforcement learning is used to adjust the compression rate.
2022 IEEE/ACM 7TH SYMPOSIUM ON EDGE COMPUTING (SEC 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Liangkai Liu, Zheng Dong, Yanzhi Wang, Weisong Shi
Summary: This paper investigates the time variation issue of Deep Neural Networks in autonomous vehicles and proposes the Prophet system to address it. Through empirical study, it is found that the time variation is mainly caused by the structure of DNN models and the lack of coordination among multiple models. The evaluation results show that the Prophet system can accurately predict time variation and coordinate the execution progress of multiple models, improving the accuracy and real-time performance of perception results.
2022 IEEE 43RD REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2022)
(2022)
