33 research outputs found

    Liao Jin shi ci dian /

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    Structured illumination microscopy and its new developments

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    Optical microscopy allows us to observe the biological structures and processes within living cells. However, the spatial resolution of the optical microscopy is limited to about half of the wavelength by the light diffraction. Structured illumination microscopy (SIM), a type of new emerging super-resolution microscopy, doubles the spatial resolution by illuminating the specimen with a patterned light, and the sample and light source requirements of SIM are not as strict as the other super-resolution microscopy. In addition, SIM is easier to combine with the other imaging techniques to improve their imaging resolution, leading to the developments of diverse types of SIM. SIM has great potential to meet the various requirements of living cells imaging. Here, we review the recent developments of SIM and its combination with other imaging techniques

    Effect of light polariztion on pattern illumination super-resolution imaging

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    Far-field fluorescence microscopy has made great progress in the spatial resolution, limited by light diffraction, since the super-resolution imaging technology appeared. And stimulated emission depletion (STED) microscopy and structured illumination microscopy (SIM) can be grouped into one class of the super-resolution imaging technology, which use pattern illumination strategy to circumvent the diffraction limit. We simulated the images of the beads of SIM imaging, the intensity distribution of STED excitation light and depletion light in order to observe effects of the polarized light on imaging quality. Compared to fixed linear polarization, circularly polarized light is more suitable for SIM on reconstructed image. And right-handed circular polarization (CP) light is more appropriate for both the excitation and depletion light in STED system. Therefore the right-handed CP light would be the best candidate when the SIM and STED are combined into one microscope. Good understanding of the polarization will provide a reference for the patterned illumination experiment to achieve better resolution and better image quality

    Drug-Related Problems among Hospitalized Surgical Elderly Patients in China

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    There is a lack of data on drug-related problems (DRPs) among elderly patients from surgical departments. The current study is aimed at identifying and categorizing types of DRPs and assessing the severities of the DRPs. Medication orders for hospitalized patients aged ≥65 years from six surgery departments were reviewed to determine DRPs over 6 months in a tertiary teaching hospital of Chongqing, China. DRPs were classified based on the Pharmaceutical Care Network Europe classification V8.02. The severity ratings of the DRPs were assessed using the National Coordinating Council for Medication Error Reporting and Prevention classification. A total of 53,231 medication orders from 1,707 elderly patients were reviewed, and 1,061 DRPs were identified. Treatment safety (44.9%) was the most common DRP type. Drug selection (43.1%) and dose selection (43.1%) were the major causes of DRPs. A total of 75.1% of the DRPs were classified into severity categories B to D (causing no or potential harm), and 24.9% were classified as categories E to H (causing actual harm). DRPs are common in hospitalized elderly surgical patients. Pharmacists should provide medication order reviews in this vulnerable patient population

    Hepatocellular SETDB1 Regulates Hepatic Ischemia-Reperfusion Injury through Targeting Lysine Methylation of ASK1 Signal

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    Background: Hepatic ischemia-reperfusion injury (HIRI) stands as an unavoidable complication arising from liver surgery, profoundly intertwined with its prognosis. The role of lysine methyltransferase SET domain bifurcated 1 (SETDB1) in HIRI remains elusive, despite its confirmation as a potential therapeutic target for diverse diseases. Here, we investigated the mechanism by which SETDB1 regulated HIRI. Methods: RNA sequencing data were used to identify the expression and potential targets of SETDB1 through bioinformatics analysis. To elucidate the impact of SETDB1 on HIRI, both an in vivo model of HIRI in mice and an in vitro model of hepatocyte hypoxia/reoxygenation were established. Biochemical and histological analyses were used to investigate the influence of SETDB1 on liver damage mediated by HIRI. Chromatin immunoprecipitation and coimmunoprecipitation were implemented to explore the in-depth mechanism of SETDB1 regulating HIRI. Results: We confirmed that hepatocellular SETDB1 was up-regulated during HIRI and had a close correlation with HIRI-related inflammation and apoptosis. Moreover, inhibition of SETDB1 could mitigate HIRI-induced liver damage, inflammation, and apoptosis. Through our comprehensive mechanistic investigation, we revealed that SETDB1 interacts with apoptosis-signal-regulating kinase 1 (ASK1) and facilitates the methylation of its lysine residues. Inhibition of SETDB1 resulted in reduced phosphorylation of ASK1, leading to a marked suppression of downstream c-Jun N-terminal kinase (JNK)/p38 signaling pathway activation. The therapeutic effect on inflammation and apoptosis achieved through SETDB1 inhibition was nullified by the restoration of JNK/p38 signaling activation through ASK1 overexpression. Conclusions: The findings from our study indicate that SETDB1 mediates lysine methylation of ASK1 and modulates the activation of the ASK1–JNK/p38 pathway, thus involved in HIRI-induced inflammation and apoptosis. These results suggest that SETDB1 holds promise as a potential therapeutic target for mitigating HIRI

    Berberine Targets AP-2/hTERT, NF-κB/COX-2, HIF-1α/VEGF and Cytochrome-c/Caspase Signaling to Suppress Human Cancer Cell Growth.

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    Berberine (BBR), an isoquinoline derivative alkaloid isolated from Chinese herbs, has a long history of uses for the treatment of multiple diseases, including cancers. However, the precise mechanisms of actions of BBR in human lung cancer cells remain unclear. In this study, we investigated the molecular mechanisms by which BBR inhibits cell growth in human non-small-cell lung cancer (NSCLC) cells. Treatment with BBR promoted cell morphology change, inhibited cell migration, proliferation and colony formation, and induced cell apoptosis. Further molecular mechanism study showed that BBR simultaneously targeted multiple cell signaling pathways to inhibit NSCLC cell growth. Treatment with BBR inhibited AP-2α and AP-2β expression and abrogated their binding on hTERT promoters, thereby inhibiting hTERT expression. Knockdown of AP-2α and AP-2β by siRNA considerably augmented the BBR-mediated inhibition of cell growth. BBR also suppressed the nuclear translocation of p50/p65 NF-κB proteins and their binding to COX-2 promoter, causing inhibition of COX-2. BBR also downregulated HIF-1α and VEGF expression and inhibited Akt and ERK phosphorylation. Knockdown of HIF-1α by siRNA considerably augmented the BBR-mediated inhibition of cell growth. Moreover, BBR treatment triggered cytochrome-c release from mitochondrial inter-membrane space into cytosol, promoted cleavage of caspase and PARP, and affected expression of BAX and Bcl-2, thereby activating apoptotic pathway. Taken together, these results demonstrated that BBR inhibited NSCLC cell growth by simultaneously targeting AP-2/hTERT, NF-κB/COX-2, HIF-1α/VEGF, PI3K/AKT, Raf/MEK/ERK and cytochrome-c/caspase signaling pathways. Our findings provide new insights into understanding the anticancer mechanisms of BBR in human lung cancer therapy

    Fibrocystic breast disease.

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    <p>Multiphoton microscopy (MPM) image (A) and corresponding hematoxylin-eosin (H-E) image (B) show fibrocystic breast changes are characterized by an increase in the number and size of glandular tissues. These include benign fibrous tissues and scattered cysts containing amorphous material. (Original magnifications 63x [A]; 20x [B]).</p

    Breast cancer.

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    <p>Multiphoton microscopy (MPM) image (A) and corresponding hematoxylin-eosin (H-E) image (B) show cancer cells displayed marked cellular and nuclear pleomorphism. Cancer cells are characterized by irregular size and shape, enlarged nuclei, and increased nuclear-cytoplasmic ratio. Glandular structure consisting of tumor cells is evident (as indicated by arrow) shown in C, D). (Original magnifications 63x [A]; 20x [B]).</p
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