目的探讨CRNDE在胶质瘤细胞中发挥的功能和可能的作用机制。方法将CRNDE基因干扰si RNA转染人胶质瘤U87细胞系,利用CCK8和Transwell实验分别检测细胞增殖和迁移能力变化,并利用Real-time PCR研究下游基因表达情况。结果 si RNA干扰CRND...目的探讨CRNDE在胶质瘤细胞中发挥的功能和可能的作用机制。方法将CRNDE基因干扰si RNA转染人胶质瘤U87细胞系,利用CCK8和Transwell实验分别检测细胞增殖和迁移能力变化,并利用Real-time PCR研究下游基因表达情况。结果 si RNA干扰CRNDE表达的胶质瘤细胞中,细胞增殖和迁移能力明显降低,MAPK/ERK通路中关键蛋白激酶Raf1、MEK2、ERK1、ERK2基因及转录因子c-Myc、NF-κB基因的表达均有显著降低。结论 CRNDE可能通过调节MAPK/ERK通路一系列相关基因表达,增加胶质瘤细胞的增殖和迁移能力。展开更多
Objective： To identify differentially expressed long non-coding RNAs （lncRNAs） involved in the metastasis of epithelial ovarian cancer. Methods： An in vitro invasion assay was performed to validate the invasive ca...Objective： To identify differentially expressed long non-coding RNAs （lncRNAs） involved in the metastasis of epithelial ovarian cancer. Methods： An in vitro invasion assay was performed to validate the invasive capability of SKOV3 and SKOV3.ip1 cell lines. Total R.NA was then extracted, and microarray analysis was performed. Moreover, nine lncRNAs were selected for validation using RT-qPCR. Results： Compared with the SKOV3 cells, the SKOV3.ip1 cells significantly improved in the in vitro invasive activity. Of the 4,956 lncRNAs detected in the microarra~ 583 and 578 lncRNAs were upregulated and downregulated, respectivel~ in SKOV3.ip1 cells, compared with the parental SKOV3 cells. Seven of the analyzed lncRNAs （MALAT1, H19, UCA1, CCAT1, LOC645249, LOC100128881, and LOC100292680） confirmed the deregulation found by microarray analysis. Conclusion： LncRNAs clusters were differentially expressed in ovarian cancer cells with varying metastatic potentials. This result indicates that some lncRNAs might exert a partial or key role in epithelial ovarian cancer metastasis. Further studies should be conducted to determine the roles of these lncRNAs in ovarian cancer metastasis.展开更多
In low-duty-cycle wireless sensor networks,designers have to cope with unreliable links and limited communication capacity.In this work,we propose COST,a coding scheme that leverages spatial-temporal diversity to achi...In low-duty-cycle wireless sensor networks,designers have to cope with unreliable links and limited communication capacity.In this work,we propose COST,a coding scheme that leverages spatial-temporal diversity to achieve higher energy efficiency and lower delay of packet transmissions.We particularly address long sleeping intervals in low-duty-cycle networks by exploiting multi-path diversity.Specifically,we propose to employ an erasure-coding scheme to improve reliability.With respect to energy efficiency and delivery timeliness,we formulate the problem in optimal allocation of coded blocks over multiple paths,which is then proved to be NP-hard.We further propose a near-optimal algorithm to solve the allocation problem.Through extensive simulations,we evaluate the impact of network parameters and demonstrate the effectiveness of our proposal.展开更多
An organ unique to mammals, the mammary gland develops 90% of its mass after birth and experiences the pregnancy-lactation-involution cycle （PL cycle） during reproduction. To understand mammogenesis at the transcrip...An organ unique to mammals, the mammary gland develops 90% of its mass after birth and experiences the pregnancy-lactation-involution cycle （PL cycle） during reproduction. To understand mammogenesis at the transcriptomic level and using a ribo-minus RNA-seq protocol, we acquired greater than 50 million reads each for the mouse mammary gland during pregnancy （day 12 of pregnancy）, lactation （day 14 of lactation）, and involution （day 7 of involution）. The pregnancy-, lacta- tion- and involution-related sequencing reads were assembled into 17344, 10160, and 13739 protein-coding transcripts and 1803, 828, and 1288 non-coding RNAs （ncRNAs）, respectively. Differentially expressed genes （DEGs） were defined in the three samples, which comprised 4843 DEGs （749 up-regulated and 4094 down-regulated） from pregnancy to lactation and 4926 DEGs （4706 up-regulated and 220 down-regulated） from lactation to involution. Besides the obvious and substantive up- and down-regulation of the DEGs, we observe that lysosomal enzymes were highly expressed and that their expression coin- cided with milk secretion. Further analysis of transcription factors such as Trpsl, Gtf2i, Tcf712, Nuprl, Vdr, Rbl, and Aebpl, and ncRNAs such as mir-125b, Let7, mir-146a, and mir-15 has enabled us to identify key regulators in mammary gland de- velopment and the PL cycle.展开更多
文摘Objective： To identify differentially expressed long non-coding RNAs （lncRNAs） involved in the metastasis of epithelial ovarian cancer. Methods： An in vitro invasion assay was performed to validate the invasive capability of SKOV3 and SKOV3.ip1 cell lines. Total R.NA was then extracted, and microarray analysis was performed. Moreover, nine lncRNAs were selected for validation using RT-qPCR. Results： Compared with the SKOV3 cells, the SKOV3.ip1 cells significantly improved in the in vitro invasive activity. Of the 4,956 lncRNAs detected in the microarra~ 583 and 578 lncRNAs were upregulated and downregulated, respectivel~ in SKOV3.ip1 cells, compared with the parental SKOV3 cells. Seven of the analyzed lncRNAs （MALAT1, H19, UCA1, CCAT1, LOC645249, LOC100128881, and LOC100292680） confirmed the deregulation found by microarray analysis. Conclusion： LncRNAs clusters were differentially expressed in ovarian cancer cells with varying metastatic potentials. This result indicates that some lncRNAs might exert a partial or key role in epithelial ovarian cancer metastasis. Further studies should be conducted to determine the roles of these lncRNAs in ovarian cancer metastasis.
基金This work was supported in part by the National Basic Research Program of China(Grant No.2011CB302705)the National Natural Science Foundation of China(GrantNos.61003277,60903206)+1 种基金the State key DevelopmentProgram for Basic Research of China(No.2009CB3020402)the National Natural Science Foun-dation of Jiangsu Province(Grant No.BK2010102)
文摘In low-duty-cycle wireless sensor networks,designers have to cope with unreliable links and limited communication capacity.In this work,we propose COST,a coding scheme that leverages spatial-temporal diversity to achieve higher energy efficiency and lower delay of packet transmissions.We particularly address long sleeping intervals in low-duty-cycle networks by exploiting multi-path diversity.Specifically,we propose to employ an erasure-coding scheme to improve reliability.With respect to energy efficiency and delivery timeliness,we formulate the problem in optimal allocation of coded blocks over multiple paths,which is then proved to be NP-hard.We further propose a near-optimal algorithm to solve the allocation problem.Through extensive simulations,we evaluate the impact of network parameters and demonstrate the effectiveness of our proposal.
基金supported by grant from Ministry of Science and Technology of China (2011CB944100,2011CB944101)
文摘An organ unique to mammals, the mammary gland develops 90% of its mass after birth and experiences the pregnancy-lactation-involution cycle （PL cycle） during reproduction. To understand mammogenesis at the transcriptomic level and using a ribo-minus RNA-seq protocol, we acquired greater than 50 million reads each for the mouse mammary gland during pregnancy （day 12 of pregnancy）, lactation （day 14 of lactation）, and involution （day 7 of involution）. The pregnancy-, lacta- tion- and involution-related sequencing reads were assembled into 17344, 10160, and 13739 protein-coding transcripts and 1803, 828, and 1288 non-coding RNAs （ncRNAs）, respectively. Differentially expressed genes （DEGs） were defined in the three samples, which comprised 4843 DEGs （749 up-regulated and 4094 down-regulated） from pregnancy to lactation and 4926 DEGs （4706 up-regulated and 220 down-regulated） from lactation to involution. Besides the obvious and substantive up- and down-regulation of the DEGs, we observe that lysosomal enzymes were highly expressed and that their expression coin- cided with milk secretion. Further analysis of transcription factors such as Trpsl, Gtf2i, Tcf712, Nuprl, Vdr, Rbl, and Aebpl, and ncRNAs such as mir-125b, Let7, mir-146a, and mir-15 has enabled us to identify key regulators in mammary gland de- velopment and the PL cycle.
