BackgroundEmerging evidences indicate that dysregulated long non-coding RNAs (lncRNAs) are implicated in cancer tumorigenesis and progression. LncRNA ANRIL has been shown to promote the progression of gastric cancer. However, the role of lncRNA ANRIL in human non-small cell lung cancer (NSCLC) remains unclear.MethodsExpression of lncRNA ANRIL was analyzed in 87 NSCLC tissues and three lung cancer cell lines by quantitative real-time PCR (qRT-PCR). The correlation of lncRNA ANRIL with clinicopathological features and prognosis was analyzed. Suppression of lncRNA ANRIL using siRNA treatment was performed in order to explore its role in tumor progression.ResultsThe expression level of lncRNA ANRIL was higher in NSCLC tissues and lung cancer cells than in adjacent non-tumor tissues and normal human bronchial epithelial cells. Higher expression of lncRNA ANRIL in NSCLC tissues was associated with higher TNM stage and advanced lymph node metastasis. Patients with high lncRNA ANRIL expression had poorer overall survival compared with low lncRNA ANRIL group. Univariate and multivariate analyses suggested that high expression of lncRNA ANRIL was an independent poor prognostic indicator for NSCLC patients. Moreover, knockdown of lncRNA ANRIL expression could inhibit lung cancer cell proliferation, migration and invasion in vitro.ConclusionsOur results suggested that lncRNA ANRIL was a potential biomarker for NSCLC prognosis, and the dysregulation of lncRNA ANRIL may play an important role in NSCLC progression.Virtual SlidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1707061287149690.

Among the 37 living species of Felidae, the clouded leopard (Neofelis nebulosa) is generally classified as a monotypic genus basal to the Panthera lineage of great cats. This secretive, mid-sized (16-23 kg) carnivore, now severely endangered, is traditionally subdivided into four southeast Asian subspecies (Figure 1A). We used molecular genetic methods to re-evaluate subspecies partitions and to quantify patterns of population genetic variation among 109 clouded leopards of known geographic origin (Figure 1A, Tables S1 ans S2 in the Supplemental Data available online). We found strong phylogeographic monophyly and large genetic distances between N. n. nebulosa (mainland) and N. n. diardi (Borneo; n = 3 individuals) with mtDNA (771 bp), nuclear DNA (3100 bp), and 51 microsatellite loci. Thirty-six fixed mitochondrial and nuclear nucleotide differences and 20 microsatellite loci with nonoverlapping allele-size ranges distinguished N. n. nebulosa from N. n. diardi. Along with fixed subspecies-specific chromosomal differences, this degree of differentiation is equivalent to, or greater than, comparable measures among five recognized Panthera species (lion, tiger, leopard, jaguar, and snow leopard). These distinctions increase the urgency of clouded leopard conservation efforts, and if affirmed by morphological analysis and wider sampling of N. n. diardi in Borneo and Sumatra, would support reclassification of N. n. diardi as a new species (Neofelis diardi).

Background COVID-19 was first recognized in late 2019 in China, at which time school closures forced most students to isolate at home or maintain social distance, both of which increased smartphone use, daytime sleepiness and post traumatic disorder (PTSD) risks. However, to date, no research has fully explored these behavioral risks or the consequences. Methods Two thousand and ninety home-confined students from two Chinese high schools participated in an online-based questionnaire battery that assessed their sociodemographic characteristics, COVID-19 related exposures, daytime sleepiness, problematic smartphone use, and PTSD. The subsequent data were subjected to mediation analysis, and structural equation models (SEM) were employed to explore the variable relationships. Results The problematic smartphone use, daytime sleepiness and PTSD prevalence were respectively 16.4%, 20.2% and 6.9%. The number of COVID-19 related exposure was directly associated with problematic smartphone use and PTSD symptoms. Problematic smartphone use was found to be a mediator between COVID-19 related exposure and PTSD symptoms, and daytime sleepiness was found to partially mediate the associations between problematic smartphone use and PTSD. Conclusions The more exposure associated with the pandemic, the more psychological and behavioral problems the adolescents had. The relatively high rate of problematic smartphone use in home isolated adolescents possibly increased the risk of daytime sleepiness and psychological problems. Therefore, targeted improvements are needed to reduce the risk of psychological problems and daytime sleepiness in adolescents.

We report a kind of polymer ordered porous honeycomb structure film with enhanced mechanical strength and low density. The film is fabricated with polyimide as a basic structure and nano-clay as the enhanced layer in the honeycomb walls, which mimics the multi-scale structure of natural honeycombs. After examining the mechanical properties of the bio-inspired honeycomb structures with different contents of clay, we find that the hardness of the honeycomb films increases with increasing clay content, and reaches a maximum value of 0.037GPa on average, which is about 5 times that for the honeycomb film without clay. Because of the existence of the porous structure, the bulk density of the multiscale bio-inspired honeycomb structure films fabricated with the solution containing 0.9 wt% clay content is 35.7% of the honeycomb structure films fabricated with the solution without clay, and the apparent density of the honeycomb structure films fabricated with the solution containing 0.9 wt% clay content is 67.5% of the honeycomb structure films fabricated with the solution without clay, and the porosity increases by 45.6%. In addition, the study of the thermal properties indicates that the porous structure does not decrease the thermal stability of the original materials. Meanwhile, the introduction of the clay into the film can increase the thermal stability of the materials slightly. So this kind of multiscale bio-inspired honeycomb structure, with high mechanical strength, low density and excellent thermal stability, is considered to have wide applications in the areas of tissue engineering, aeronautical materials, separation films in lithium-ion batteries, and so on.

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Picophytoplankton are the main primary producers in oligotrophic oceans. They account for more than 90 % of the phototrophic biomass. Investigations of picophytoplankton in the central Arctic Ocean region are rare because these waters used to be completely covered with sea ice. Large, newly exposed water areas, however, appeared in the sea ice zone during the summer of 2010. This provided the first opportunity to study the Arctic picophytoplankton community in these newly open surface waters. This study focuses on the picophytoplankton in the areas near the Alpha-Mendeleev Ridge and Makarov Basin. Here, HPLC pigment analysis with CHEMTAX was used to study community populations, and 454 pyrosequencing with bioinformatics analysis was used to identify the dominant genera (species). Both Pearson correlation analysis and canonical correlation analysis were used to study the relationships between the community and environmental factors. We found chlorophyll a concentrations were low (0.05-0.39 lg l -1 ), and picophytoplankton dominated these areas. The abundances of picophytoplankton were 1.58 9 10 6 -9.47 9 10 6 cells l -1 and made up 44-80 % of the total chlorophyll a. Prasinophytes made up 0-88 % of the picoplanktonic chlorophyll a with the following distributions: diatoms (2-80 %), cyanobacteria (0-20 %), haptophytes (4-14 %), and dinoflagellates (2-11 %). The dominant genera (species) in the picoeukaryotes were Pyramimonas (Pyramimonas gelidicola), Micromonas (Micromonas pusilla), and Phaeocystis. Salinity and latitude were the primary factors controlling the community structure of the picophytoplankton.

Genetic variations in the giant panda populations in Wanglang and Baoxing Nature Reserves were evaluated in this study. Panda feces were collected from these two reserves and DNA samples extracted from the feces were genotyped at 13 microsatellite loci. A total of 130 alleles were identified from the 13 microsatellite loci in 63 giant pandas, including 35 private alleles in Wanglang, 53 private alleles in Baoxing, and 42 alleles shared between the two populations. The mean observed heterozygosity, average number of alleles, average number of allelic richness, and average polymorphism information content were 0.488, 6.2, 3.302, and 0.612, respectively for the Wanglang population and 0.553, 7.6, 4.050, and 0.747 for the Baoxing population. A moderate degree of genetic differentiation (F st = 0.26) and no gene flow were found between these two populations.

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