Identification of novel proteoglycan that inhibits influenza virus replication

11sciescopu

Selective autophagy in the Hepatitis C Virus NS5A degradation

1

Interferon-inducible proteoglycan in the regulation of virus infection

1

In-Situ Characterization of Zeolite Synthesis Process (Spring 2003) IPRO 302: In-Situ Characterization of Zeolite Synthesis Process IPRO302 Spring2003 Final Presentation

Aluminosilicate zeolites were first introduced in the early 1950s for applications in adsorption, separation, catalytic conversion and refinery of petroleum. There has been rapid progress since then in synthesizing new zeolites and in developing new zeolitic processes; but there has been less progress in understanding the mechanism and chemistry of various synthesis routes and procedures. Consider, for example, that more than fifty topologically distinct zeolites can be produced from silicon, aluminum, and oxygen simply by varying the ratio of SiO2 to Al2O3 in the synthesis mixture, the alkalinity of the mixture, and the composition of the base. Most of these recipes have been formulated empirically. Consider also that while over a hundred different zeolite framework types have been successfully synthesized, at least another thousand are possible based upon theoretical studies. If the chemistry of zeolite formation at a molecular level was better understood then it would be easier to design various viable syntheses. One key to gaining a good understanding of zeolite synthesis mechanisms is through in-situ characterization of the reaction system. Although some characterization tools have been developed to accomplish this, much improvement could be made using special reactors and penetrating radiation from neutron and synchrotron x-ray sources. In principle, in-situ small angle scattering combined with diffraction, NMR, IR, EXAFS, XANES, and other techniques (sometimes simultaneously) can be used to follow the evolution of the zeolite structure from the molecular level, to micron-sized clusters, and beyond. The possible presence of density fluctuation in the solution state, the kinetics of zeolite crystallization from the solution, and the structure identification of the zeolite phases formed under various conditions can be experimentally determined. What is needed to be able to do these studies is some clever design and testing of reactors that will accommodate the often caustic zeolite reaction systems and also allow penetration of the analyzing radiations. The focus of the proposed work is thus design and testing of reactors for use at Argonne National Laboratory at the Advanced Photon Source or at the Intense Pulsed Neutron Source, and application of the reactors for characterization of zeolite syntheses. Proof of principle work should be at atmospheric pressure, which is the most applicable for now; and the top temperature range should be 50 degrees C.Sponsorship: Robert W. Broach, Company Mentor, UOP LLC, DesPlaines, IllinoisProject Plan for IPRO 302: In-Situ Characterization of Zeolite Synthesis Process for Spring 2003 semeste

Complete genome sequence of the sulfur-oxidizing chemolithoautotrophic Sulfurovum lithotrophicum 42BKTT

Abstract A sulfur-oxidizing chemolithoautotrophic bacterium, Sulfurovum lithotrophicum 42BKTT, isolated from hydrothermal sediments in Okinawa, Japan, has been used industrially for CO2 bio-mitigation owing to its ability to convert CO2 into C5H8NO4 − at a high rate of specific mitigation (0.42 g CO2/cell/h). The genome of S. lithotrophicum 42BKTT comprised of a single chromosome of 2217,891 bp with 2217 genes, including 2146 protein-coding genes and 54 RNA genes. Here, we present its complete genome-sequence information, including information about the genes encoding enzymes involved in CO2 fixation and sulfur oxidation

Role of UPF1 in lncRNA-HEIH regulation for hepatocellular carcinoma therapy

Abstract UPF1, a novel posttranscriptional regulator, regulates the abundance of transcripts, including long noncoding RNAs (lncRNAs), and thus plays an important role in cell homeostasis. In this study, we revealed that UPF1 regulates the abundance of hepatocellular carcinoma upregulated EZH2-associated lncRNA (lncRNA-HEIH) by binding the CG-rich motif, thereby regulating hepatocellular carcinoma (HCC) tumorigenesis. UPF1-bound lncRNA-HEIH was susceptible to degradation mediated by UPF1 phosphorylation via SMG1 and SMG5. According to analysis of RNA-seq and public data on patients with liver cancer, the expression of lncRNA-HEIH increased the levels of miR-194-5p targets and was inversely correlated with miR-194-5p expression in HCC patients. Furthermore, UPF1 depletion upregulated lncRNA-HEIH, which acts as a decoy of miR-194-5p that targets GNA13, thereby promoting GNA13 expression and HCC proliferation. The UPF1/lncRNA-HEIH/miR-194-5p/GNA13 regulatory axis is suggested to play a crucial role in cell progression and may be a suitable target for HCC therapy

Development and Validation of Deep-Learning-Based Sepsis and Septic Shock Early Prediction System (DeepSEPS) Using Real-World ICU Data

Background: Successful sepsis treatment depends on early diagnosis. We aimed to develop and validate a system to predict sepsis and septic shock in real time using deep learning. Methods: Clinical data were retrospectively collected from electronic medical records (EMRs). Data from 2010 to 2019 were used as development data, and data from 2020 to 2021 were used as validation data. The collected EMRs consisted of eight vital signs, 13 laboratory data points, and three demographic information items. We validated the deep-learning-based sepsis and septic shock early prediction system (DeepSEPS) using the validation datasets and compared our system with other traditional early warning scoring systems, such as the national early warning score, sequential organ failure assessment (SOFA), and quick sequential organ failure assessment. Results: DeepSEPS achieved even higher area under receiver operating characteristic curve (AUROC) values (0.7888 and 0.8494 for sepsis and septic shock, respectively) than SOFA. The prediction performance of traditional scoring systems was enhanced because the early prediction time point was close to the onset time of sepsis; however, the DeepSEPS scoring system consistently outperformed all conventional scoring systems at all time points. Furthermore, at the time of onset of sepsis and septic shock, DeepSEPS showed the highest AUROC (0.9346). Conclusions: The sepsis and septic shock early warning system developed in this study exhibited a performance that is worth considering when predicting sepsis and septic shock compared to other traditional early warning scoring systems. DeepSEPS showed better performance than existing sepsis prediction programs. This novel real-time system that simultaneously predicts sepsis and septic shock requires further validation

Transcriptional Regulator CTR9 Inhibits Th17 Differentiation via Repression of IL-17 Expression.

PAF complex is an evolutionarily conserved transcriptional complex that associates with RNA polymerase II in the coding region of actively transcribing genes. Although its transcriptional activity is closely related to diverse cellular processes, such as cell-cycle progression or development in mammals, its role in immune responses has not been addressed yet. In this study, we show that CTR9, a component of PAF complex, functions as a repressor of Th17 differentiation. Both mRNA and protein levels of CTR9 were significantly decreased during the differentiation processes of naive T into Th17 effector cells. When CTR9 was depleted, IL-17 expression was induced and differentiation into Th17 cells enhanced. In naive T cells, CTR9 occupied the coding region of Il17a, but dissociated under Th17 in vitro-polarizing conditions. In contrast, both CDC73 and PAF1 were recruited to the Il17a locus under Th17-differentiation conditions. In the IL-6-stimulated splenocytes, expression of CTR9 was decreased, and chromatin-bound CTR9 disappeared in the coding region of Il17a. IL-6 also directly repressed expression of CTR9 gene, as promoter activity of CTR9 was similarly repressed by IL-6 treatment. Moreover, in mice with collagen-induced arthritis, lentivirus-mediated CTR9 overexpression in the joints ameliorated arthritis severity, decreasing the frequency of CD4(+) IL-17(+) T cells in lymph nodes. In conclusion, our data propose a novel feed-forward loop of IL-17 transcriptional regulatory circuit, via IL-6-mediated repression of CTR9 which is a transcriptional repressor of IL-17.X1144sciescopu