This study aimed to determine the potential mechanisms through which long noncoding (Lnc) RNA cancer susceptibility candidate 15 (CASC15) affects hepatocellular carcinoma (HCC). We retrieved HCC RNA-seq and clinical information from the UCSC Xena database. The differential expression (DE) of CASC15 was detected. Overall survival was analyzed using Kaplan–Meier (K–M) curves. Molecular function and signaling pathways affected by CASC15 were determined using Gene Set Enrichment Analysis. Associations between CASC15 and the HCC microenvironment were investigated using immuno-infiltration assays. A differential CASC15-miRNA-mRNA network and HCC-specific CASC15-miRNA-mRNA ceRNA network were constructed. The overexpression of CASC15 in HCC tissues was associated with histological grade, clinical stage, pathological T stage, poor survival, more complex immune cell components, and 12 immune checkpoints. We identified 27 DE miRNAs and 270 DE mRNAs in the differential CASC15-miRNA-mRNA network, and 10 key genes that were enriched in 12 cancer-related signaling pathways. Extraction of the HCC-specific CASC15-miRNA-mRNA network revealed that IGF1R, MET, and KRAS were associated with HCC progression and occurrence. Our bioinformatic findings confirmed that CASC15 is a promising prognostic biomarker for HCC, and elevated levels in HCC are associated with the tumor microenvironment. We also constructed a disease-specific CASC15-miRNA-mRNA regulatory ceRNA network that provides a new perspective for the precise indexing of patients with elevated levels of CASC15.
3D Multi-Object Tracking (MOT) is an important part of the unmanned vehicle perception module. Most methods optimize object detection and data association independently. These methods make the network structure complicated and limit the improvement of MOT accuracy. we proposed a 3D MOT framework based on simultaneous optimization of object detection and scene flow estimation. In the framework, a detection-guidance scene flow module is proposed to relieve the problem of incorrect inter-frame assocation. For more accurate scene flow label especially in the case of motion with rotation, a box-transformation-based scene flow ground truth calculation method is proposed. Experimental results on the KITTI MOT dataset show competitive results over the state-of-the-arts and the robustness under extreme motion with rotation.
This study aimed to elucidate the prognostic value of the leucine rich repeat containing 1 (LRRC1) gene in hepatocellular carcinoma (HCC) and to determine the effects of high and low LRRC1 expression on mutation and immune cell infiltration. We downloaded HCC mRNA-seq expression and clinical data from University of California Santa Cruz Xena. The expression of LRRC1 was compared between HCC tumor and normal samples. Tumor samples were divided according to high and low LRRC1 expression. Differentially expressed genes between the 2 groups were identified, and function, mutation, and immune cell infiltration were analyzed. Genes associated with immune cells were identified using weighted gene co-expression network analysis, and transcription factors of these genes were predicted. Moreover, a prognostic model was developed and its performance was evaluated. The expression of LRRC1 was upregulated in HCC tissues, and this indicated a poor prognosis for patients with HCC. Differentially expressed genes between high and low LRRC1 expression were significantly enriched in pathways associated with cancer, amino acid metabolism, carbohydrate metabolism, and the immune system. We identified 15 differentially infiltrated immune cells between tumors with high and low LRRC1 expression and 14 of them correlated with LRRC1 gene expression. Weighted gene co-expression network analysis identified 83 immune cell-related genes, 27 of which had prognostic value. Cyclic AMP-response element binding protein regulated annexin A5, matrix metallopeptidase 9, and LRRC1 in the transcription factor regulatory network. Finally, a prognostic model composed of 7 genes were generated, which could accurately predict the prognosis of HCC patients. The LRRC1 gene might serve as a potential immune-associated prognostic biomarker for HCC.
To investigate the correlation of allergic rhinitis and trace elements and to provide a reference for clinical diagnosis, treatment and prevention of allergic rhinitis.One hundred and six patients were diagnosed as allergic rhinitis in General Hospital of Ningxia Medical University between January and December in 2010, including 48 cases of perennial allergic rhinitis and 58 cases of seasonal allergic rhinitis. In the same time, one hundred and three healthy volunteers were selected as control. Intravenous blood 3-5 ml were obtained from all subjects both in experimental group and in control group. The content of Ca, Ni, Fe, Mg, Zn, Sr, Mn, Cu, Se in serum and hair was determined by inductively coupled plasma atomic emission spectrometry (ICP-AES). The t-test (SPSS 16.0) was used to compare the results of trace elements in serum between allergic rhinitis and control group.The testing results of trace elements in AR patients serum and normal controls serum were as follows: Cu, Ni (1 002.18 ± 104.62) µg/L, (21.58 ± 5.54) mg/L were super than control group, (832.78 ± 50.45) µg/L, (17.04 ± 4.93) mg/L (t value was 15.545, 5.154, both P < 0.05). But the content of Zn, Se (793.48 ± 46.88) µg/L, (84.25 ± 12.77) µg/L lower than control group (908.53 ± 31.26) µg/L, (98.35 ± 15.21) µg/L (t value was -24.175 and -7.797, both P < 0.05) . The testing results of trace elements in AR patients hair and normal controls hair were as follows: Cu, Ni (42.43 ± 5.03) µg/g, (31.72 ± 5.49) µg/g were super than control group, (23.00 ± 4.45) µg/g, (8.94 ± 7.53) µg/g (t value was -8.633 and 4.236, both P < 0.05). But the content of Zn, Se (92.16 ± 4.54) µg/g , (0.28 ± 0.04) µg/g lower than control group (189.09 ± 8.45) µg/g, (0.39 ± 0.06) µg/g (t value was -28.71 and -8.633, both P < 0.05).The content of Zn, Se in AR patients serum are lower than that in control group. But the content of Cu, Ni in AR patients serum are super than that in control group. There are no significant difference of trace elements in the serum between pennial allergic rhinitis and seasonal allergic rhinitis.
Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
In the molecule of the title compound, [Zn(C7H5O2)2(C10H8N2)], the Zn(II) atom is bonded to two N atoms from the bipyridyl ligand and four O atoms of two benzoate groups, exhibiting a very distorted octahedral geometry.
Abstract Objective: This study aimed to elucidate the prognostic value of the leucine rich repeat containing 1 (LRRC1) gene in hepatocellular carcinoma (HCC) and to determine the effects of high and low LRRC1 expression on mutation and immune cell infiltration. Methods: We downloaded HCC mRNA-seq expression and clinical data from UCSC Xena. The expression of LRRC1 was compared between HCC tumor and normal samples. Tumor samples were divided according to high and low LRRC1 expression. Differentially expressed genes between the two groups were identified, and function, mutation, and immune cell infiltration were analyzed. Genes associated with immune cells were identified using weighted gene co-expression network analysis (WGCNA), and transcription factors (TFs) of these genes were predicted. Results: The expression of LRRC1 was upregulated in HCC tissues, and this indicated a poor prognosis for patients with HCC. Differentially expressed genes between tumors with high and low LRRC1 expression were significantly enriched in pathways associated with cancer, amino acid metabolism, carbohydrate metabolism, and the immune system. We identified 15 differentially infiltrated immune cells between tumors with high and low LRRC1 expression and 14 of them correlated with LRRC1 gene expression. We also identified 83 genes that were associated with immune cells. Cyclic AMP-response element binding protein (CREB1) regulated ANXA5, MMP9, and LRRC1 in the TF regulatory network. Conclusion: The LRRC1 gene might serve as a potential immune-associated prognostic biomarker for HCC.
Solid-state reactions of lanthanide(III) oxide (and lanthanide(III) oxyhalide), transition metal halide (and transition metal oxide), and TeO(2) at high temperature lead to six new lanthanide transition metal tellurium(IV) oxyhalides with three different types of structures, namely, DyCuTe(2)O(6)Cl, ErCuTe(2)O(6)Cl, ErCuTe(2)O(6)Br, Sm(2)Mn(Te(5)O(13))Cl(2), Dy(2)Cu(Te(5)O(13))Br(2), and Nd(4)Cu(TeO(3))(5)Cl(3). Compounds DyCuTe(2)O(6)Cl, ErCuTe(2)O(6)Cl, and ErCuTe(2)O(6)Br are isostructural. The lanthanide(III) ion is eight-coordinated by eight oxygen atoms, and the copper(II) ion is five-coordinated by four oxygens and a halide anion in a distorted square pyramidal geometry. The interconnection of Ln(III) and Cu(II) ions by bridging tellurite anions results in a three-dimensional (3D) network with tunnels along the a-axis; the halide anion and the lone-pair electrons of the tellurium(IV) ions are oriented toward the cavities of the tunnels. Compounds Sm(2)Mn(Te(5)O(13))Cl(2) and Dy(2)Cu(Te(5)O(13))Br(2) are isostructural. The lanthanide(III) ions are eight-coordinated by eight oxygens, and the divalent transition metal ion is octahedrally coordinated by six oxygens. Two types of polymeric tellurium(IV) oxide anions are formed: Te(3)O(8)(4)(-) and Te(4)O(10)(4)(-). The interconnection of the lanthanide(III) and divalent transition metal ions by the above two types of polymeric tellurium(IV) oxide anions leads to a 3D network with long, narrow-shaped tunnels along the b-axis. The halide anions remain isolated and are located at the above tunnels. Nd(4)Cu(TeO(3))(5)Cl(3) features a different structure. All five of the Nd(III) ions are eight-coordinated (NdO(8) for Nd(1), Nd(2), Nd(4), and Nd(5) and NdO(7)Cl for Nd(3)), and the copper(I) ion is tetrahedrally coordinated by four chloride anions. The interconnection of Nd(III) ions by bridging tellurite anions resulted in a 3D network with large tunnels along the b-axis. The CuCl(4) tetrahedra are interconnected into a 1D two-unit repeating (zweier) chain via corner-sharing. These 1D copper(I) chloride chains are inserted into the tunnels of the neodymium(III) tellurite via Nd-Cl-Cu bridges. Luminescent studies show that ErCuTe(2)O(6)Cl and Nd(4)Cu(TeO(3))(5)Cl(3) exhibit strong luminescence in the near-IR region. Magnetic measurements indicate the antiferromagnetic interactions between magnetic centers in these compounds.
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