Study on the gene signature related to immune microenvironment on viral and nonviral infections of hepatocellular carcinoma.

ABSTRACT: The pathogenesis of hepatocellular carcinoma (HCC) can be divided into viral infection (VIR) and nonviral (NVIR) infection. Two types of HCC performed different tumor immune microenvironment (TIME) which directly affected prognosis of HCC. This study aimed to identify an effective 2 types of HCC prognostic gene signature that related to immune TIME.The differential expression genes (DEGs) were analyzed by Limma R package from the Cancer Genome Atlas. Immune related genes getting from IMMport database were matched to DEGs for testing prognosis. Prognostic index (PI) consisted of prognostic immune related genes was calculated in different types of HCC by COX regression and the correlation with the abundance of immune infiltrates, including 6 type cells, via gene modules. Tumor immune estimation resource database was applied to analyze TIME. Finally, the correlations between PI of DEGs and TIICs were analyzed by the Spearman method.Results showed that PI consisted of 11 messenger RNAs in VIR and 12 messenger RNAs in NVIR groups. The PI related to HCC prognosis has different correlations with immune infiltrating cells in VIR and NVIR groups. The PI value of DEGs has significant correlations with neutrophils (R = 0.22, P-value = .029) and dendritic (R = 0.21, P-value = .036) infiltration levels in VIR group. However, in NVIR group, the result showed there were no significant correlations between PI and other 5 type cell infiltration levels (P-value > .05).The 11-gene signature in VIR and 12-gene signature in NVIR group selected based on data from the Cancer Genome Atlas database had a different correlation with immune infiltrating cells of HCC patients.

Comparative transcriptome analysis reveals heat stress-responsive genes and their signalling pathways in lilies (Lilium longiflorum vs. Lilium distichum).

The lily, a famous bulbous flower, is seriously affected by high temperatures, which affect their growth and production. To date, the signalling pathways and the molecular mechanisms related to heat response in Lilium have not been elucidated. In this study, a comparative transcriptome analysis was performed in an important thermo-tolerant flower, L. longiflorum, and a thermo-sensitive flower, L. distichum. Lily seedlings were first exposed to heat stress at 42°C for different lengths of time, and the optimal time-points (2 h and 24 h) were selected for RNA sequencing (RNA-seq). Approximately 66.51, 66.21, and 65.36 Mb clean reads were identified from three libraries of L. longiflorum (LL_CK, LL_T2h and LL_T24h, respectively) and 66.18, 66.03, and 65.16 Mb clean reads were obtained from three libraries of L. distichum (LD_CK, LD_T2h and LD_T24h, respectively) after rRNA removing. A total of 34,301 unigenes showed similarity to known proteins in the database NCBI non-redundant protein (NR), Swiss-Prot proteins, InterPro proteins, Clusters of Orthologous Groups (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG). In addition, 1,621 genes were differentially expressed in the overlapping libraries between LL_DEGs and LD_DEGs; of these genes, 352 DEGs were obviously upregulated in L. longiflorum and downregulated in L. distichum during heat stress, including 4-coumarate, CoA ligase (4CL), caffeoyl-CoA O-methyltransferase (CCoAOMT), peroxidase, pathogenesis-related protein 10 family genes (PR10s), 14-3-3 protein, leucine-rich repeat receptor-like protein kinase, and glycine-rich cell wall structural protein-like. These genes were mainly involved in metabolic pathways, phenylpropanoid biosynthesis, plant-pathogen interactions, plant hormone signal transduction, and kinase signalling pathways. Quantitative RT-PCR was performed to validate the expression profiling of these DEGs in RNA-seq data. Taken together, the results obtained in the present study provide a comprehensive sequence resource for the discovery of heat-resistance genes and reveal potential key components that are responsive to heat stress in lilies, which may help to elucidate the heat signal transcription networks and facilitate heat-resistance breeding in lily.

Valence state control and third-order nonlinear optical properties of copper embedded in sodium borosilicate glass.

The integrated and transparent sodium borosilicate glasses that contain copper exhibiting different colors, that is, red, green, and blue were synthesized by combining the sol-gel process and heat treatment in H2 gas. To reveal substantially the cause of different colors in the glass, X-ray diffraction (XRD), transmission electron microscopy (TEM) and high resolution TEM (HRTEM) were systematically applied to investigate and determine the microstructure of the doped matter. The results showed three different crystals had formed in the red, green and blue glass, and the sizes of these crystals were range from 9 to 34, 1 to 6, and 1 to 5 nm, respectively. The valence state of copper was further analyzed by X-ray photoelectron spectroscopy (XPS) and electron energy loss spectroscopy (EELS). The third-order nonlinear optical properties of the glasses were investigated by using Z-scan technique at the wavelength of 800 nm. Interestingly, the third-order nonlinear absorption of the red, green, and blue glass can be successfully controlled from reverse saturable absorption, no absorption to saturable absorption and the optical nonlinear susceptibility χ((3)) of the red, green and blue glass were estimated to be 6.4 × 10(-14), 1.6 × 10(-14), and 2.6 × 10(-14) esu in the single-pulse energy of 0.36 µJ, respectively.