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  ✔本篇論文使用華聯產品:Human miRNA OneArray, Human OneArray  
 Biochimica Et Biophysica Acta. 2013 Feb 8. doi: 10.1016/j.bbagrm.2013.01.011.
 Transfection of siRNAs can alter miRNA levels and trigger non-specific protein degradation in mammalian cells 
 Christopher E. Hart, Stanley T. Crooke, Xue-hai Liang
  Abstract
Sequence-non-specific effects of siRNAs that alter the expression of non-targeted genes have been reported, including competition of siRNAs with endogenous RISC components. However, the detailed mechanisms and subsequent effects of such competition are not well documented. Here we analyze the competition of miRNAs in mammalian cells with low concentrations of siRNAs, and found that: 1) transfection of different siRNAs in the low nanomolar range used to deplete target RNAs can reduce the levels of miRNAs in different cell types, 2) siRNA transfection results in rapid reduction of Ago2-associated miRNAs concurrent with accumulation of Ago2-bound siRNAs and a significant change in the expression levels of many miRNAs, 3) competition largely depends on Ago2 and not Dicer, 4) microarray analysis showed that the majority of highly expressed miRNAs are reduced, in a siRNA concentration dependent manner, and low abundant miRNAs may be unchanged or repressed and a fewmiRNAs appear to have increased levels, and 5) consistent with previous studies, the expres-sion levels ofmRNAs that are targeted by highly repressedmiRNAs are preferentially increased. As a consequence of such competition, we observed that £-tubulin, a substrate of two up-regulated proteases, granzyme B and granzyme M, was rapidly degraded at the protein level upon siRNA transfection. Our results support a model in which transfection of siRNAs can change the levels of many miRNAs by competition for Ago2, leading to altered expression of many miRNA target genes, which can in turn affect downstream gene expression even at the protein level.
   

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  ✔本篇論文使用華聯產品:Human OneArray  
 Oncoscience. doi:10.18632/oncoscience.285.
 In silico and experimental analyses predict the therapeutic value of an EZH2 inhibitor GSK343 against hepatocellular carcinoma through the induction of metallothionein genes
 
 
 
  Abstract
There are currently no effective molecular targeted therapies for hepatocellular carcinoma (HCC), the third leading cause of cancer-related death worldwide. Enhancer of zeste homolog 2 (EZH2), a histone H3 lysine 27 (H3K27)-specific methyltransferase, has been emerged as novel anticancer target. Our previous study has demonstrated that GSK343, an S-adenosyl-L-methionine (SAM)-competitive inhibitor of EZH2, induces autophagy and enhances drug sensitivity in cancer cells including HCC. In this study, an in silico study was performed and found that EZH2 was overexpressed in cancerous tissues of HCC patients at both gene and protein levels. Microarray analysis and in vitro experiments indicated that the anti-HCC activity of GSK343 was associated with the induction of metallothionein (MT) genes. In addition, the negative association of EZH2 and MT1/MT2A genes in cancer cell lines and tissues was found in public gene expression database. Taken together, our findings suggest that EZH2 inhibitors could be a good therapeutic option for HCC, and induction of MT genes was associated with the anti-HCC activity of EZH2 inhibitors.
   

  ✔本篇論文使用華聯產品:Human OneArray  
 Bmc Bioinformatics. doi: 10.1186/s12859-015-0848-x.
 Gene expression profiling identifies candidate biomarkers for active and latent tuberculosis
 
 
 
  Abstract
Background Tuberculosis (TB) is a serious infectious disease in that 90 % of those latently infected with Mycobacterium tuberculosis present no symptoms, but possess a 10 % lifetime chance of developing active TB. To prevent the spread of the disease, early diagnosis is crucial. However, current methods of detection require improvement in sensitivity, efficiency or specificity. In the present study, we conducted a microarray experiment, comparing the gene expression profiles in the peripheral blood mononuclear cells among individuals with active TB, latent infection, and healthy conditions in a Taiwanese population. Results Bioinformatics analysis revealed that most of the differentially expressed genes belonged to immune responses, inflammation pathways, and cell cycle control. Subsequent RT-PCR validation identified four differentially expressed genes, NEMF, ASUN, DHX29, and PTPRC, as potential biomarkers for the detection of active and latent TB infections. Receiver operating characteristic analysis showed that the expression level of PTPRC may discriminate active TB patients from healthy individuals, while ASUN could differentiate between the latent state of TB infection and healthy condidtion. In contrast, DHX29 may be used to identify latently infected individuals among active TB patients or healthy individuals. To test the concept of using these biomarkers as diagnostic support, we constructed classification models using these candidate biomarkers and found the Naïve Bayes-based model built with ASUN, DHX29, and PTPRC to yield the best performance. Conclusions Our study demonstrated that gene expression profiles in the blood can be used to identify not only active TB patients, but also to differentiate latently infected patients from their healthy counterparts. Validation of the constructed computational model in a larger sample size would confirm the reliability of the biomarkers and facilitate the development of a cost-effective and sensitive molecular diagnostic platform for TB.