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      • KCI등재

        Bioinformatic prediction and analysis of glucolipid metabolic regulation by miR-34a in Megalobrama amblycephala

        Ling‑Hong Miao,Wen‑Jing Pan,Yan Lin,Bo Liu,Ming‑Chun Ren,Qun‑Lan Zhou,Xian‑Ping Ge 한국유전학회 2017 Genes & Genomics Vol.39 No.12

        The objective of this study was to analyze the target genes and regulatory function of miR-34a in Megalobrama amblycephala using second-generation highthroughput sequencing and bioinformatic tools. Functional enrichment analysis was performed by gene ontology. MiR- 34a and target gene expression levels were measured in M. amblycephala fed normal and high-carbohydrate diets. The results revealed that miR-34a was highly conserved in several species, and miR-34a of M. amblycephala has a close evolutionary relationship to that of zebrafish and common carp. miRanda, TargetScan, RNAhybrid predicted 5,185, 6,282 and 2,168 target genes, respectively, and 645 target genes were in common. According to annotation information, the target genes were enriched in phosphate metabolism, glycerophospholipid metabolism, Golgi vesicle transport, cell division, and other biological processes (P < 0.05). Pathway enrichment analysis revealed that these target genes were mainly enriched in alpha-linolenic acid and linoleic acid metabolism, ether lipid metabolism, VEGF signaling pathway, Fc epsilon RI signaling pathway, GnRH signaling pathway, and MAPK signaling pathway (P < 0.05). The regulatory role of miR-34a was more significant in the liver than in the brain of M. amblycephala. MiR-34a regulates glucose lipid homeostasis induced by high glucose diets by upregulating hepatic PI3K/Akt, FOXO, and TOR signaling pathways.

      • KCI등재

        Hypoxia Mediates Runt-Related Transcription Factor 2 Expression via Induction of Vascular Endothelial Growth Factor in Periodontal Ligament Stem Cells

        Manjing Deng,Qian Xu,Zhihua Liu1,Ling Guo,Rui Liu,Rulei Li,Xiang Chu,Jiajia Yang,Jia Luo,Faming Chen 한국분자세포생물학회 2019 Molecules and cells Vol.42 No.11

        Periodontitis is characterized by the loss of periodontal tissues, especially alveolar bone. Common therapies cannot satisfactorily recover lost alveolar bone. Periodontal ligament stem cells (PDLSCs) possess the capacity of self-renewal and multilineage differentiation and are likely to recover lost alveolar bone. In addition, periodontitis is accompanied by hypoxia, and hypoxia-inducible factor-1α (HIF-1α) is a master transcription factor in the response to hypoxia. Thus, we aimed to ascertain how hypoxia affects runt-related transcription factor 2 (RUNX2), a key osteogenic marker, in the osteogenesis of PDLSCs. In this study, we found that hypoxia enhanced the protein expression of HIF-1α, vascular endothelial growth factor (VEGF), and RUNX2 ex vivo and in situ. VEGF is a target gene of HIF-1α, and the increased expression of VEGF and RUNX2 proteins was enhanced by cobalt chloride (CoCl2, 100 μmol/L), an agonist of HIF-1α, and suppressed by 3-(5′-hydroxymethyl-2′-furyl)-1-benzyl indazole (YC-1, 10 μmol/L), an antagonist of HIF-1α. In addition, VEGF could regulate the expression of RUNX2, as RUNX2 expression was enhanced by human VEGF (hVEGF165) and suppressed by VEGF siRNA. In addition, knocking down VEGF could decrease the expression of osteogenesis-related genes, i.e., RUNX2, alkaline phosphatase (ALP), and type I collagen (COL1), and hypoxia could enhance the expression of ALP, COL1, and osteocalcin (OCN) in the early stage of osteogenesis of PDLSCs. Taken together, our results showed that hypoxia could mediate the expression of RUNX2 in PDLSCs via HIF-1α-induced VEGF and play a positive role in the early stage of osteogenesis of PDLSCs

      • KCI등재

        Structural, photoluminescent, and dielectric properties of Eu3+-doped Ba0.7Sr0.3TiO3 thin films

        Ling Liu,Ni Qin,Dinghua Bao 한국물리학회 2015 Current Applied Physics Vol.15 No.6

        Eu3+-doped Ba0.7Sr0.3TiO3 thin films were prepared by a chemical solution deposition method and characterized by X-ray diffraction, field emission scanning electron microscopy, photoluminescence and dielectric measurements. The thin films were well crystallized with a pure perovskite structure. A contraction of the unit cell was observed upon incorporation of Eu3+ ions below 2 mol%, while an expansion occurred as the Eu3+ concentration was further increased above 2 mol%, indicating that Eu3+ ions with different concentrations occupied different lattice sites. Photoluminescence spectra showed two prominent transitions of Eu3+ ions at 594 nm (5D0→7F1) and 618 nm (5D0→7F2) upon excitation at 395 nm (7F0→5L6). There existed two quenching concentrations at 2 mol% and 4 mol% due to different lattice sites of the Eu3+ ions. We also investigated the dielectric properties of the thin films. Our study suggests that Eu3+-doped Ba0.7Sr0.3TiO3 thin films have potential applications in multifunctional optoelectronic devices.

      • KCI등재

        Early gut microbiota in very low and extremely low birth weight preterm infants with feeding intolerance: a prospective case-control study

        Liu Ling,Ao Dang,Cai Xiangsheng,Huang Peiyi,Cai Nali,Lin Shaozhu,Wu Benqing 한국미생물학회 2022 The journal of microbiology Vol.60 No.10

        The potential role of the gut microbiota in the pathogenesis of feeding intolerance (FI) remains unclear. Understanding the role of the gut microbiota could provide a new avenue for microbiota-targeted therapeutics. This study aimed to explore the associations between aberrant gut microbiota and FI in very low or extremely low birth weight (VLBW/ELBW) preterm infants. In this observational case-control study, VLBW/ ELBW infants were divided into two groups: FI group and feeding tolerance (FT) group. 16S rRNA gene sequencing was performed to analyze the gut microbial diversity and composition of the infants. The differences in the gut microbiota of the two groups were compared. In total, 165 stool samples were obtained from 44 infants, among which, 31 developed FI and 13 served as controls. Alpha diversity was the highest in the meconium samples of the two groups. LEfSe analysis revealed that the abundances of Peptostreptococcaceae, Clostridiales and Clostridia in the FT group were significantly higher than in the FI group. At the phylum level, the FI group was dominated by Proteobacteria, and the FT group was dominated by Firmicutes. The meconium samples of the FI group had higher proportions of γ-proteobacteria and Escherichia-Shigella and a lower proportion of Bacteroides compared with the FT group. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that aberrant gut bacteria in the FI group were strongly associated with dysregulation of C5-Brancheddibasic- acid-metabolism, protein kinases, and sporulation. These findings reveal candidate microbial markers to prevent FI. Increased relative abundances of γ-proteobacteria and Escherichia-Shigella and decreased abundance of Bacteroides in meconium were associated with an increased risk of FI, while Peptostreptococcaceae, Clostridiales and Clostridia reduced the risk of FI in VLBW/ELBW infants.

      • KCI등재

        Carbon Storage of Exotic Slash Pine Plantations in Subtropical China

        Ling Jin,Yuanqiu Liu,Jinkui Ning,Liangying Liu,Xiaodong Li 강원대학교 산림과학연구소 2019 Journal of Forest Science Vol.35 No.3

        Exotic conifer trees have been extensively planted in southern China because of their high apparent growth and yield. These fast-growing plantations are expected to persist as a considerable potential for temporary and long-term carbon sink to offset greenhouse gas emissions. However, information on the carbon storage across different age ranges in exotic pine plantations is often lacking. We first estimated the ecosystem carbon storage across different age ranges of exotic pine plantations in China by quantifying above- and below-ground ecosystem carbon pools. The carbon storage of each tree component of exotic pine (Pinus elliottii) increased significantly with increasing age in Duchang and Yiyang areas. The stem carbon storage except <10 years in Ji’an areas was the largest component among all other components, which accounts for about 50% of the total carbon storage followed by roots (∼28%), branches (∼18%), and foliage (∼9%). The mean total tree carbon storage of slash pine plantations for <10, 10-20 and 20-30 years across three study areas was 3.69, 13.91 and 20.57 Mg ha-1, respectively. The carbon stocks in understory and forest floor were age-independent. Total tree and soil were two dominant carbon pools in slash pine plantations at all age sequences. The carbon contribution of aboveground ecosystem increased with increasing age, while that of belowground ecosystem declined. The mean total ecosystem carbon storage of slash pine plantations for <10, 10-20 and 20-30 years across China was 30.26, 98.66 and 98.89 Mg ha-1, respectively. Although subtropical climate in China was suitable for slash pine growth, the mean total carbon stocks in slash pine plantations at all age sequences from China were lower than that values reported in American slash pine plantations.

      • KCI등재

        The comparison and optimization of zirconia, alumina, and zirconia-alumina supported PtSnIn trimetallic catalysts for propane dehydrogenation reaction

        Liu-Liu Long,Ke Xia,Wan-Zhong Lang,Li-Ling Shen,Qiang Yang,Xi Yan,Ya-Jun Guo 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.51 No.-

        The zirconia, alumina, and zirconia-alumina (xZr-Al) supported PtSnIn catalysts were prepared andcomparatively studied for propane dehydrogenation reaction. The structure–function relationships ofthe resultant catalysts are well elucidated upon several state-of-art physico-chemical characterizations. The results show that xZr-Al used as support for trimetallic PtSnIn catalysts exhibits the significantcatalytic performances. The PtSnIn/08Zr-Al catalyst has the highest Pt dispersion accompanied with thesmallest average Pt particles, and it presents the initial propane conversion and propylene selectivityabove 55.0% and 98.0% respectively. The initial propane conversions afterfive reaction–regenerationcycles are all above 55.0% and only decrease little ( 3%).

      • Research on the Discrimination of Hatching Eggs Activity Based on Thermal Imaging : A Food Nondestructive Testing Practice

        Liu Hai-ling,Cai Jian-rong,Sun Li,Yuan Lei-ming,Liu Meng-lei 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.2

        The hatching eggs in 4-16 days incubation were from incubator of 38.5℃ to 22℃ for natural cooling and the time series images were acquired by thermal imaging technology. Analyzing the cooling curve and the cooling area and region growing, ellipse fitting, morphological processing and other methods were used to extract eggs region of interest; time series images superposition and contrast enhancement were used to raise the temperature close to the different categories of eggs gray differences; the ratio of gray value≦150 and entire ROI area was seen as characteristic parameters and the decision threshold was set according to minimum error rate Bayes rule. The non-fertilized eggs in incubating 4 days was 89.6% overall recognition and the dead embryo eggs in incubating 16 days was 96.3% overall recognition. Research showed that thermal imaging technology combined image processing technology can achieve non-destructive testing of hatching eggs activity.

      • KCI등재
      • KCI등재

        A Robust Method for Automatic Segmentation and Recognition of Apoptosis Cell

        Liu Hai-Ling(류해릉),Young-Suk Shin(신영숙) 한국정보과학회 2009 정보과학회 컴퓨팅의 실제 논문지 Vol.15 No.6

        본 연구는 Apoptosis세포들의 형상을 검출하기 위하여 전통적인 세포측정법과는 다른 영상기반 접근법을 제안한다. 이 방법은 세포측정법의 단점을 극복하고 Apoptosis세포들을 정확하게 인식할 수 있다. 본 연구에서 K-means 군집화 방법이 Apoptosis 세포의 거시적인 분할을 행하는 데 사용되었으며, ‘스네이크’라고 불리는 액티브윤곽선 모델이 정밀한 경계선 검출을 위해 사용되었다. 그리고 Apoptosis세포들의 물리적 특징, 형태적 특징 그리고 무늬특징들을 포함하는 몇가지 특징들이 추출되었다. 마지막으로 Mahalanobis 거리 분류기가 Apoptosis세포와 비Apoptosis 세포로서 분할영상들을 분류한다. In this paper we propose an image-based approach, which is different from the traditional flow cytometric method to detect shape of apoptosis cells. This method can overcome the defects of cytometry and give precise recognition of apoptosis cells. In this work K-means clustering was used to do the rough segmentation and an active contour model, called ‘snake’ was used to do the precise edge detection. And then some features were extracted including physical feature, shape descriptor and texture features of the apoptosis cells. Finally a Mahalanobis distance classifier classifies the segmentation images as apoptosis and non-apoptosis cell.

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