11,860 research outputs found

    miRNA goes nuclear

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    microRNAs (miRNAs), defined as 21–24 nucleotide non-coding RNAs, are important regulators of gene expression. Initially, the functions of miRNAs were recognized as post-transcriptional regulators on mRNAs that result in mRNA degradation and/or translational repression. It is becoming evident that miRNAs are not only restricted to function in the cytoplasm, they can also regulate gene expression in other cellular compartments by a spectrum of targeting mechanisms via coding regions, 5′ and 3′untransalated regions (UTRs), promoters, and gene termini. In this point-of-view, we will specifically focus on the nuclear functions of miRNAs and discuss examples of miRNA-directed transcriptional gene regulation identified in recent years

    Three-Dimensional Digital Colour Camera

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    Systemically Administered RNAi Molecule Sensitizes Malignant Pleural Mesotheliomal Cells to Pemetrexed Therapy

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    Pemetrexed (PMX) is a key drug for the management of malignant pleural mesothelioma (MPM). However, its therapeutic efficacy is cruelly restricted in many clinical settings by the overexpression of thymidylate synthase (TS) gene. Recently, we emphasized the efficacy of locally administered shRNA designed against TS gene in enhancing the cytotoxic effect of PMX against orthotopically implanted MPM cells in tumor xenograft tumor model. Herein, we explored the efficiency of systemic, rather than local, delivery of TS RNAi molecule in sensitizing MPM cells to the cytotoxic effect of PMX. We here designed a PEG-coated TS shRNA-lipoplex (PEG-coated TS shRNA-lipoplex) for systemic injection. PEG modification efficiently delivered TS shRNA in the lipoplex to tumor tissue following intravenous administration as indicated by a significant suppression of TS expression level in tumor tissue. In addition, the combined treatment of PMX with systemic injection of PEG-coated TS shRNA-lipoplex exerted a potent antitumor activity in a s.c. xenograft tumor model, compared to a single treatment with either PMX or PEG-coated TS shRNA-lipoplex. Metastasis, or the spread, of mesothelioma substantially dedicates the effectiveness of treatment options. The systemic, in addition to local, delivery of tumor targeted anti-TS RNAi system we propose in this study might be an effective option to extend the clinical utility of PMX in treating malignant mesothelioma

    Survival analysis of Stage IIA1 and IIA2 cervical cancer patients

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    AbstractObjectiveThe aim of this study was to assess the benefits of the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system for survival of patients with Stage IIA1 and IIA2 cervical cancer (Cx Ca).Materials and MethodsA study cohort of 51 patients with Stage IIA Cx Ca was retrospectively collected from the 2004–2009 hospital-based, long-form Cx Ca data registry at Mackay Memorial Hospital (Taipei, Taiwan). The survivorship and overall survival were compared between these two groups (Stages IIA1 and IIA2) using log-rank test.ResultsThirty-six and 15 patients were classified into Stages IIA1 and IIA2, respectively. Stage IIA2 patients were younger than those with Stage IIA1 disease (mean age, 47.4 vs. 55.1 years, p = 0.008), but no significant difference was observed in confirmed pelvic lymph node status (21.4% vs. 38.5%, p = 0.280) between them. Although the 2-year and 5-year overall survival was better among Stage IIA1 patients, there was no significant difference in survival between Stage IIA1 and IIA2 groups (2-year, 90.6% vs. 77.8%; 5-year, 86.3% vs. 51.9%, p = 0.218).ConclusionAlthough there was a trend in survival difference between Stage IIA1 and IIA2 patients, the difference was not statistically significant. The revised FIGO 2009 staging system for Cx Ca defines a group of Stage IIA patients with bulky tumor (Stage IIA2) that are generally younger than Stage IIA1 patients. It is sensible to investigate an alternate or enhanced treatment scheme for Stage IIA2 patients. Ideally, the treatment scheme should prevent unnecessary radical surgery if a patient can be exposed to either chemotherapy or radiotherapy, alone or in combination

    Synthetic Sample Selection via Reinforcement Learning

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    Synthesizing realistic medical images provides a feasible solution to the shortage of training data in deep learning based medical image recognition systems. However, the quality control of synthetic images for data augmentation purposes is under-investigated, and some of the generated images are not realistic and may contain misleading features that distort data distribution when mixed with real images. Thus, the effectiveness of those synthetic images in medical image recognition systems cannot be guaranteed when they are being added randomly without quality assurance. In this work, we propose a reinforcement learning (RL) based synthetic sample selection method that learns to choose synthetic images containing reliable and informative features. A transformer based controller is trained via proximal policy optimization (PPO) using the validation classification accuracy as the reward. The selected images are mixed with the original training data for improved training of image recognition systems. To validate our method, we take the pathology image recognition as an example and conduct extensive experiments on two histopathology image datasets. In experiments on a cervical dataset and a lymph node dataset, the image classification performance is improved by 8.1% and 2.3%, respectively, when utilizing high-quality synthetic images selected by our RL framework. Our proposed synthetic sample selection method is general and has great potential to boost the performance of various medical image recognition systems given limited annotation.Comment: MICCAI202

    Metronomic S-1 dosing and thymidylate synthase silencing have synergistic antitumor efficacy in a colorectal cancer xenograft model

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    Metronomic chemotherapy is currently considered an emerging therapeutic option in clinical oncology. S-1, an oral formulation of Tegafur (TF), a prodrug of 5-fluorouracil (5-FU), is designed to improve the antitumor activity of 5-FU in tandem with reducing its toxicity. Clinically, metronomic S-1 dosing has been approved for the standard first- and second-line treatment of metastatic or advanced stage of colorectal (CRC). However, expression of intratumor thymidylate synthase (TS), a significant gene in cellular proliferation, is associated with poor outcome to 5-FU-based chemotherapeutic regimens. In this study, therefore, we examined the effect of a combination of TS silencing by an RNA interfering molecule, chemically synthesized short hairpin RNA against TS (shTS), and 5-FU on the growth of human colorectal cancer cell (DLD-1) both in vitro and in vivo. The combined treatment of both shTS with 5-FU substantially inhibited cell proliferation in vitro. For in vivo treatments, the combined treatment of metronomic S-1 dosing with intravenously injected polyethylene glycol (PEG)-coated shTS-lipoplex significantly suppressed tumor growth, compared to a single treatment of either S-1 or PEG-coated shTS-lipoplex. In addition, the combined treatment increased the proportion of apoptotic cells in the DLD-1 tumor tissue. Our results suggest that metronomic S-1 dosing combined with TS silencing might represent an emerging therapeutic strategy for the treatment of patients with advanced CRC

    Enhanced inhibitory synaptic transmission in the spinal dorsal horn mediates antinociceptive effects of TC-2559

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    <p>Abstract</p> <p>Background</p> <p>TC-2559 is a selective α4β2 subtype of nicotinic acetylcholine receptor (nAChR) partial agonist and α4β2 nAChR activation has been related to antinociception. The aim of this study is to investigate the analgesic effect of TC-2559 and its underlying spinal mechanisms.</p> <p>Results</p> <p>1) <it>In vivo </it>bioavailability study: TC-2559 (3 mg/kg) had high absorption rate in rats with maximal total brain concentration reached over 4.6 μM within first 15 min after administration and eliminated rapidly with brain half life of about 20 min after injection. 2) <it>In vivo </it>behavioral experiments: TC-2559 exerts dose dependent antinociceptive effects in both formalin test in mice and chronic constriction injury (CCI) model in rats by activation of α4β2 nAChRs; 3) Whole-cell patch-clamp studies in the superficial dorsal horn neurons of the spinal cord slices: perfusion of TC-2559 (2 μM) significantly increased the frequency, but not amplitude of spontaneous inhibitory postsynaptic currents (sIPSCs). The enhancement of sIPSCs was blocked by pre-application of DHβE (2 μM), a selective α4β2 nicotinic receptor antagonist. Neither the frequency nor the amplitude of spontaneous excitatory postsynaptic currents (sEPSCs) of spinal dorsal horn neurons were affected by TC-2559.</p> <p>Conclusions</p> <p>Enhancement of inhibitory synaptic transmission in the spinal dorsal horn via activation of α4β2 nAChRs may be one of the mechanisms of the antinociceptive effects of TC-2559 on pathological pain models. It provides further evidence to support the notion that selective α4β2 subtype nAChR agonist may be developed as new analgesic drug for the treatment of neuropathic pain.</p

    Exploring Sharing Economy Success: Resource-Based View and the Role of Resource Complementarity in Business Value Co-Creation

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    In recent years, the sharing economy has been grown increasingly as an important means to achieve sustainable competitive advantage. With the support of mobile phone devices and the ubiquitous application of “SOLOMO (social, location, mobile)” concept, the emerging sharing economy hubs increase the pool of potential service providers and sellers by leveraging networked technology to change how market participants engage in a specific transaction. Several successful examples, such as Uber, Airbnb or live streaming platforms, demonstrate that such phenomenon will continue to generate immense interests and receive growing practical and academic attentions for the next decades. In order to meet the needs of heterogeneous network users or buyers, platform owners seek to promote and exploit the network resources from providers and facilitate the transactions. Therefore, the holistic network performance improves and values are co-created when the presence of platform owner complements network members each other. Though the importance of the above mentioned resource complementarity can be well-recognized from many practical evidences and academic studies, the role and empirical evidence of resource complementarity in facilitating the cocreation value and the impact on subsequent performance under sharing economy context is still not well understood. Moreover, sharing economy network is a new and distinct type of organization form and separates from markets and hierarchies, it still requires unique theories and research approaches for providing deeper insights. Value can be co-created by complementary alignment of mutual resources, but the degree to which value generation occurs is still subject to contextual factors. Therefore, the objective of this study is to present a holistic view to illuminate relationships among resource complementarity, relational capabilities (including relational embeddedness and ambidextrous competence), subsequent performance and cooperation continuance intention based on the perspective of resource-based view. 367 respondents from well-known online streaming platform were collected. We find that all hypotheses are supported, except that relational embeddedness has no any significant effect on financial performance. From this study, we hope to contribute nascent knowledge for sharing economy phenomenon and value co-creation with online marketing and information management disciplines scholarly, and provide fruitful insights to the design of an effective value-creating ecosystem application platform through our study for practitioners

    Perception-Action Coupling Target Tracking Control for a Snake Robot via Reinforcement Learning

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    Visual-guided locomotion for snake-like robots is a challenging task, since it involves not only the complex body undulation with many joints, but also a joint pipeline that connects the vision and the locomotion. Meanwhile, it is usually difficult to jointly coordinate these two separate sub-tasks as this requires time-consuming and trial-and-error tuning. In this paper, we introduce a novel approach for solving target tracking tasks for a snake-like robot as a whole using a model-free reinforcement learning (RL) algorithm. This RL-based controller directly maps the visual observations to the joint positions of the snake-like robot in an end-to-end fashion instead of dividing the process into a series of sub-tasks. With a novel customized reward function, our RL controller is trained in a dynamically changing track scenario. The controller is evaluated in four different tracking scenarios and the results show excellent adaptive locomotion ability to the unpredictable behavior of the target. Meanwhile, the results also prove that the RL-based controller outperforms the traditional model-based controller in terms of tracking accuracy

    Lowly Expressed Ribosomal Protein S19 in the Feces of Patients with Colorectal Cancer

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    Colorectal cancer (CRC) has become one of the most common fatal cancers. CRC tumorigenesis is a complex process involving multiple genetic changes to several sequential mutations or molecular alterations. P53 is one of the most significant genes; its mutations account for more than half of all CRC. Therefore, understanding the cellular genes that are directly or indirectly related to p53 is particularly crucial for investigating CRC tumorigenesis. In this study, a p53-related ribosomal protein, ribosomal protein S19 (RPS19), obtained from the feces of CRC patients is evaluated by using specifically quantitative real-time PCR and knocked down in the colonic cell line by gene silencing. This study found that CRC patients with higher expressions of RPS19 in their feces had a better prognosis and consistent expressions of RPS19 and BAX in their colonic cells. In conclusion, the potential mechanism of RPS19 in CRC possibly involves cellular apoptosis through the BAX/p53 pathway, and the levels of fecal RPS19 may function as a prognostic predictor for CRC patients
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