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| 1 | Squalene epoxidase promotes colorectal cancer cell proliferation through accumulating calcitriol and activating CYP24A1-mediatedMAPK signaling显示文摘Background:Colorectal cancer(CRC)is one of the most malignant tumorswith high incidence,yet its molecular mechanism is not fully understood,hindering the development of targeted therapy.Metabolic abnormalities are a hallmark of cancer.Targeting dysregulated metabolic features has become an important direction for modern anticancer therapy.In this study,we aimed to identify a new metabolic enzyme that promotes proliferation of CRC and to examine the related molecular mechanisms.Methods:We performed RNA sequencing and tissue microarray analyses of human CRC samples to identify new genes involved in CRC.Squalene epoxidase(SQLE)was identified to be highly upregulated in CRC patients.The regulatory function of SQLE in CRC progression and the therapeutic effect of SQLE inhibitors were determined by measuring CRC cell viability,colony and organoid formation,intracellular cholesterol concentration and xenograft tumor growth.Themolecularmechanism of SQLE functionwas explored by combining transcriptome and untargeted metabolomics analysis.Western blotting and realtime PCR were used to assess MAPK signaling activation by SQLE.Results:SQLE-related control of cholesterol biosynthesis was highly upregulated in CRC patients and associated with poor prognosis.SQLE promoted CRC growth in vitro and in vivo.Inhibition of SQLE reduced the levels of calcitriol(active form of vitamin D3)and CYP24A1,followed by an increase in intracellular Ca2+concentration.Subsequently,MAPK signaling was suppressed,resulting in the inhibition of CRC cell growth.Consistently,terbinafine,an SQLE inhibitor,suppressed CRC cell proliferation and organoid and xenograft tumor growth.Conclusions:Our findings demonstrate that SQLE promotes CRC through the accumulation of calcitriol and stimulation of CYP24A1-mediated MAPK signaling,highlighting SQLE as a potential therapeutic target for CRC treatment. | Luwei He Huaguang Li Chenyu Pan Yutong Hua Jiayin Peng Zhaocai Zhou Yun Zhao Moubin Lin | 2021 | Cancer Communications2021，41，8： | 4 |
| 2 | Association of assisted reproductive technology, germline de novo mutations and congenital heart defects in a prospective birth cohort study显示文摘Emerging evidence suggests that children conceived through assisted reproductive technology(ART)have a higher risk of congenital heart defects(CHDs)even when there is no family history.De novo mutation(DNM)is a well-known cause of sporadic congenital diseases;however,whether ART procedures increase the number of germline DNM(gDNM)has not yet been well studied.Here,we performed whole-genome sequencing of 1137 individuals from 160 families conceived through ART and 205 families conceived spontaneously.Children conceived via ART carried 4.59 more gDNMs than children conceived spontaneously,including 332 paternal and 1.26 maternal DNMs,after correcting for parental age at conception,cigarette smoking,alcohol drinking,and exercise behaviors.Paternal DNMs in offspring conceived via ART are characterized by C>T substitutions at CpG sites,which potentially affect protein-coding genes and are significantly associated with the increased risk of CHD.In addition,the accumulation of non-coding functional mutations was independently associated with CHD and 87.9% of the mutations were originated from the father.Among ART offspring,infertility of the father was associated with elevated paternal DNMs;usage of both recombinant and urinary follicle-stimulating hormone and high-dosage human chorionic gonadotropin trigger was associated with an increase of maternal DNMs.In sum,the increased gDNMs in offspring conceived by ART were primarily originated from fathers,indicating that ART itself may not be a major reason for the accumulation of gDNMs.Our findings emphasize the importance of evaluating the germline status of the fathers in families with the use of ART. | Cheng Wang Hong Lv Xiufeng Ling Hong Li Feiyang Diao Juncheng Dai Jiangbo Du Ting Chen Qi Xi Yang Zhao Kun Zhou Bo Xu Xiumei Han Xiaoyu Liu Meijuan Peng Congcong Chen Shiyao Tao Lei Huang Cong Liu Mingyang Wen Yangqian Jiang Tao Jiang Chuncheng Lu Wei Wu Di Wu Minjian Chen Yuan Lin Xuejiang Guo Ran Huo Jiayin Liu Hongxia Ma Guangfu Jin Yankai Xia Jiahao Sha Hongbing Shen Zhibin Hu | 2021 | Cell Research2021，31，8： | 2 |
| 3 | Determination of cinepazide maleate in Rat Plasma by LLE Using LC-MS-MS J显示文摘 | Guanyang Lin Jiayin Zhu Lufeng Hu | | 0，，7： | 1 |
| 4 | Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine显示文摘With the rapid development of the Internet of Things(IoT),there are several challenges pertaining to security in IoT applications.Compared with the characteristics of the traditional Internet,the IoT has many problems,such as large assets,complex and diverse structures,and lack of computing resources.Traditional network intrusion detection systems cannot meet the security needs of IoT applications.In view of this situation,this study applies cloud computing and machine learning to the intrusion detection system of IoT to improve detection performance.Usually,traditional intrusion detection algorithms require considerable time for training,and these intrusion detection algorithms are not suitable for cloud computing due to the limited computing power and storage capacity of cloud nodes;therefore,it is necessary to study intrusion detection algorithms with low weights,short training time,and high detection accuracy for deployment and application on cloud nodes.An appropriate classification algorithm is a primary factor for deploying cloud computing intrusion prevention systems and a prerequisite for the system to respond to intrusion and reduce intrusion threats.This paper discusses the problems related to IoT intrusion prevention in cloud computing environments.Based on the analysis of cloud computing security threats,this study extensively explores IoT intrusion detection,cloud node monitoring,and intrusion response in cloud computing environments by using cloud computing,an improved extreme learning machine,and other methods.We use the Multi-Feature Extraction Extreme Learning Machine(MFE-ELM)algorithm for cloud computing,which adds a multi-feature extraction process to cloud servers,and use the deployed MFE-ELM algorithm on cloud nodes to detect and discover network intrusions to cloud nodes.In our simulation experiments,a classical dataset for intrusion detection is selected as a test,and test steps such as data preprocessing,feature engineering,model training,and result analysis are performed.The experimental results show that the proposed algorithm can effectively detect and identify most network data packets with good model performance and achieve efficient intrusion detection for heterogeneous data of the IoT from cloud nodes.Furthermore,it can enable the cloud server to discover nodes with serious security threats in the cloud cluster in real time,so that further security protection measures can be taken to obtain the optimal intrusion response strategy for the cloud cluster. | Haifeng Lin Qilin Xue Jiayin Feng Di Bai | 2023 | Digital Communications and Networks2023，9，1： | 1 |
| 5 | Permutation tests for equality of two distribitions in one-dimension显示文摘 | HUANG Qun LIN Jiemei ZHAO Jiayin | 2012 | Joumal of Liaoning Technical University(Natural Science)2012，31，6： | 1 |
| 6 | Impact of subtropical climate on frequency of ambulance use for trauma patients in a coastal area of China显示文摘 | Yuqiang Chen Yucheng Lai Jiajie Ke Yuefeng Chen Yuling Xu Yuqin Ma Jiayin Yuan Tian Liang Pengzhan Mai Changmin Lin Yang Xie Keng Huang | 2015 | Chinese Journal of Traumatology2015，18，3： | 0 |
| 7 | EFFICIENT BIT ERROR PROBABILITY EXPRESSION AND VERY TIGHT BOUND FOR MAXIMAL RATIO COMBINING DIVERSITY SYSTEMS OVER RAYLEIGH FADING CHANNEL显示文摘Bit Error Probability (BEP) provides a fundamental performance measure for wireless diversity systems. This paper presents two new exact BEP expressions for Maximal Ratio Combining (MRC) diversity systems. One BEP expression takes a closed form, while the other is derived by treating the squared-sum of Rayleigh random variables as an Erlang variable. Due to the fact that the extant bounds are loose and could not properly characterize the error performance of MRC diversity systems, this paper presents a very tight bound. The numerical analysis shows that the new derived BEP expressions coincide with the extant expressions, and that the new approximation tightly bounds the accurate BEP. | Zhang Lin Qin Jiayin | 2008 | Journal of Electronics(China)2008，25，1： | 0 |
| 8 | Potential anticancer activity analysis of piscidin 5-like from Larimichthys crocea显示文摘Antitumor activity is one characteristic function of some certain antimicrobial peptides(AMPs)found in recent years.In the present study,we attempted to detect potential anticancer activity of a recombinant piscidin 5-like from Larimichthys crocea(r Lc-P5L)which owned widely antibacterial and strong antiparasitic activity in vitro.The light microscope observation indicated r Lc-P5L was of antitumor activity to He La cells,293 T cells and L929 cells.MTT assay showed the toxic sensitivity of r Lc-P5L to three tumor cell strains was 293 T>L929>He La.Scanning electron microscope(SEM)results showed r Lc-P5L behaved like a lytic peptide to cause damage on cells membrane of L929 cells by forming globular clusters,even pores at 60μmol/L,or degrading membrane to make it completely lose cytoskeleton structure at 80μmol/L;r Lc-P5L treatment also resulted in DNA degradation.Fluorescence observation results indicated r Lc-P5L could cause L929 cells at least two obvious changes:one is nucleus,nuclear chromatin condensed in the margin,nuclear volume became smaller and shrank to be out of shape,or lysed to be debris;the other is cytoskeleton,they became disordered and polarized to make cells atrophic shapes,or even lysed to be debris.In summary,r Lc-P5L owned potential anticancer activity causing membrane structure damage and genome DNA degradation.Interestingly,treatment with different concentration of r Lc-P5L seemingly caused the similar but different changes,whether it indeed gave rise to cancer cells diverse death way,the further studies should be performed,and the detailed mechanisms were still need further explored. | Libing Zheng Jiayin Qiu Huihui Liu Changfeng Chi Longshan Lin | 2022 | Acta Oceanologica Sinica2022，41，3： | 0 |
| 9 | 本校近期发表IF≥4.0的SCI论文摘要(英文)--Evaluation of Blastomere Biopsy Using a Mouse Model Indicates the Potential High Risk of Neurodegenerative Disorders in the Offspring显示文摘 | Wu Jindao Guo Xuejiang Zhao Chun Zhou Rong Zhang Zhuo Wang Fuqiang Xiao Min Chen Ling Zhu Hui Chen Wen Lin Min Liu Jiayin Zhou Zuomin Wang Liu Huo Ran Sha Jiahao Yu Yang Fan Yong Lv Zhuo Wang Liu Zhou Qi | 2009 | 南京医科大学学报(自然科学版)2009，29，9： | 0 |
| 10 | From computer vision to short text understanding: Applying similar approaches into different disciplines显示文摘With the development of IoT and 5G technologies,more and more online resources are presented in trendy multimodal data forms over the Internet.Hence,effectively processing multimodal information is significant to the development of various online applications,including e-learning and digital health,to just name a few.However,most AI-driven systems or models can only handle limited forms of information.In this study,we investigate the correlation between natural language processing(NLP)and pattern recognition,trying to apply the mainstream approaches and models used in the computer vision(CV)to the task of NLP.Based on two different Twitter datasets,we propose a convolutional neural network based model to interpret the content of short text with different goals and application backgrounds.The experiments have demonstrated that our proposed model shows fairly competitive performance compared to the mainstream recurrent neural network based NLP models such as bidirectional long short-term memory(Bi-LSTM)and bidirectional gate recurrent unit(Bi-GRU).Moreover,the experimental results also demonstrate that the proposed model can precisely locate the key information in the given text. | Jiayin Lin Geng Sun Jun Shen David E.Pritchard Ping Yu Tingru Cui Dongming Xu Li Li Ghassan Beydoun | 2022 | Intelligent and Converged Networks2022，3，2： | 0 |
| 11 | Manganese-doped mesoporous polydopamine nanoagent for T1-T2 magnetic resonance imaging and tumor therapy显示文摘Theranostic nanodrugs combining magnetic resonance imaging(MRI)and cancer therapy have attracted extensive interest in cancer diagnosis and treatment.Herein,a manganese(Mn)-doped mesoporous polydopamine(Mn-MPDA)nanodrug incorporating the nitric oxide(NO)prodrug BNN6 and immune agonist R848 was developed.The nanodrug responded to the H^(+)and glutathione being enriched in tumor microenvironment to release R848 and Mn^(2+).The abundant Mn^(2+)produced through a Fenton-like reaction enabled a highly sensitive T1-T2 dual-mode MRI for monitoring the tumor accumulation process of the nanodrug,based on which an MRI-guided laser irradiation was achieved to trigger the NO gas therapy.Meanwhile,R848 induced the re-polarization of tumor-promoting M2-like macrophage to a tumoricidal M1 phenotype.Consequently,a potent synergistic antitumor effect was realized in mice bearing subcutaneous 4T1 breast cancer,which manifested the great promise of this multifunctional nanoplatform in cancer treatment. | Xiuqi Hou Xi Yang Yanwen Xu Jiayin Lin Fang Zhang Xiaohui Duan Sitong Liu Jie Liu Jun Shen Xintao Shuai Zhong Cao | 2023 | Nano Research2023，16，2： | 0 |
| 12 | Landform classification based on landform geospatial structure-a case study on Loess Plateau of China显示文摘Landform classification,which is a key topic of geography,is of great significance to a wide range of fields including human construction,geological structure research,environmental governance,etc.Previous studies of landform classification generally paid attention to the topographic or texture information,whilst the watershed spatial structure has not been used.This study developed a new landform classification method based on watershed geospatial structure.Via abstracting the landform into the internal and marginal structure,we adopted the gully weighted complex network(GWCN)and watershed boundary profile(WBP)to simulate the watershed geospatial structure.Introducing various indices to quantitatively depict the watershed geospatial structure,we conducted the landform classification on the Northern Shaanxi of Loess Plateau with a watershed-based strategy and established the classification map.The classified landform distribution has significant spatial aggregation and clear regional boundaries.Classification accuracy reached 89%and the kappa coefficient reached 0.87%.Besides,the proposed method has a positive response to some similar and complex landforms.In general,the present study first utilized the watershed geospatial structure to conduct landform classification and is an efficient landform classification method with well accuracy and universality,offering additional insights for landform classification and mapping. | Siwei Lin Jing Xie Jiayin Deng Meng Qi Nan Chen | 2022 | International Journal of Digital Earth2022，15，1： | 0 |
| 13 | RSBP15 interacts with and stabilizes dRSPH3 during sperm axoneme assembly in Drosophila显示文摘Flagellum in sperm is composed of over 200 different proteins and is essential for sperm motility. In particular, defects in the assembly of the radial spoke in the flagellum result in male infertility due to loss of sperm motility. However, mechanisms regulating radial spoke assembly remain unclear in metazoans.Here, we identified a novel Drosophila protein radial spoke binding protein 15(RSBP15) which plays an important role in regulating radial spoke assembly. Loss of RSBP15 results in complete lack of mature sperms in seminal vesicles(SVs), asynchronous individualization complex(IC) and defective '9 + 2'structure in flagella. RSBP15 is colocalized with dRSPH3 in sperm flagella, and interacts with dRSPH3 through its DD_R_PKA superfamily domain which is important for the stabilization of dRSPH3. Moreover,loss of dRSPH3, as well as dRSPH1, dRSPH4 a and dRSPH9, showed similar phenotypes to rsbp15 KO mutant. Together, our results suggest that RSBP15 acts in stabilizing the radial spoke protein complex to anchor and strengthen the radial spoke structures in sperm flagella. | Ya Wang Rui Xu Yiwei Cheng Haowei Cao Zibin Wang Tianyu Zhu Jiayin Jiang Hao Zhang Chang Wang Lin Qi Mingxi Liu Xuejiang Guo Juan Huang Jiahao Sha | 2019 | Journal of Genetics and Genomics2019，46，6： | 0 |
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