Long non-coding RNAs(lncRNAs)play a significant role in maintaining tissue morphology and functions,and their precise regulatory effectiveness is closely related to expression patterns.However,the spatial expression p...Long non-coding RNAs(lncRNAs)play a significant role in maintaining tissue morphology and functions,and their precise regulatory effectiveness is closely related to expression patterns.However,the spatial expression patterns of lncRNAs in humans are poorly characterized.Here,we constructed five comprehensive transcriptomic atlases of human lncRNAs covering thousands of major tissue samples in normal and disease states.The lncRNA transcriptomes exhibited high consistency within the same tissues across resources,and even higher complexity in specialized tissues.Tissue-elevated(TE)lncRNAs were identified in each resource and robust TE lncRNAs were refined by integrative analysis.We detected 1 to 4684 robust TE lncRNAs across tissues;the highest number was in testis tissue,followed by brain tissue.Functional analyses of TE lncRNAs indicated important roles in corresponding tissue-related pathways.Moreover,we found that the expression features of robust TE lncRNAs made them be effective biomarkers to distinguish tissues;TE lncRNAs also tended to be associated with cancer,and exhibited differential expression or were correlated with patient survival.In summary,spatial classification of lncRNAs is the starting point for elucidating the function of lncRNAs in both maintenance of tissue morphology and progress of tissue-constricted diseases.展开更多
Aiming at the consensus of relative position considering obstacle avoidance for fractional-order multi-agent system,a novel distributed control algorithm is proposed in this paper.Firstly,a synthetic error of each age...Aiming at the consensus of relative position considering obstacle avoidance for fractional-order multi-agent system,a novel distributed control algorithm is proposed in this paper.Firstly,a synthetic error of each agent under the influence of obstacles is introduced.The consensus pro-tocols are designed based on this eror according to sliding mode theory for the order increasing and decreasing,respectively.Then,the Lyapunov function is used to prove the stable convergence of the protocols.Finally,the simulation results show that the protocols can not only prevent the agents from colliding with obstacles,but also enable the agents to quickly recover the expected formation and achieve consensus of the relative position.展开更多
基金This work was supported by the National Natural Science Foundation of China(Nos.31970646,32060152,32070673,and 32170676)the Hainan Province Science and Technology Special Fund(No.ZDYF2021SHFZ051)+2 种基金the Harbin Medical University Marshal Initiative Funding(No.HMUMIF-21024)the Marshal Initiative Funding of Hainan Medical University(No.JBGS202103)the Heilongjiang Touyan Innovation Team Program.
文摘Long non-coding RNAs(lncRNAs)play a significant role in maintaining tissue morphology and functions,and their precise regulatory effectiveness is closely related to expression patterns.However,the spatial expression patterns of lncRNAs in humans are poorly characterized.Here,we constructed five comprehensive transcriptomic atlases of human lncRNAs covering thousands of major tissue samples in normal and disease states.The lncRNA transcriptomes exhibited high consistency within the same tissues across resources,and even higher complexity in specialized tissues.Tissue-elevated(TE)lncRNAs were identified in each resource and robust TE lncRNAs were refined by integrative analysis.We detected 1 to 4684 robust TE lncRNAs across tissues;the highest number was in testis tissue,followed by brain tissue.Functional analyses of TE lncRNAs indicated important roles in corresponding tissue-related pathways.Moreover,we found that the expression features of robust TE lncRNAs made them be effective biomarkers to distinguish tissues;TE lncRNAs also tended to be associated with cancer,and exhibited differential expression or were correlated with patient survival.In summary,spatial classification of lncRNAs is the starting point for elucidating the function of lncRNAs in both maintenance of tissue morphology and progress of tissue-constricted diseases.
基金supported in part by the Natural Science Foundation of Shaanxi Province(2024JC-YBMS-451,2024JC-YBQN-0398).
文摘Aiming at the consensus of relative position considering obstacle avoidance for fractional-order multi-agent system,a novel distributed control algorithm is proposed in this paper.Firstly,a synthetic error of each agent under the influence of obstacles is introduced.The consensus pro-tocols are designed based on this eror according to sliding mode theory for the order increasing and decreasing,respectively.Then,the Lyapunov function is used to prove the stable convergence of the protocols.Finally,the simulation results show that the protocols can not only prevent the agents from colliding with obstacles,but also enable the agents to quickly recover the expected formation and achieve consensus of the relative position.
