Siyan Liu^1,*, Jinfeng Liu¹, Yuzhe Zhang¹, Yushi Jiang¹, Shaowang Hu¹, Andi Shi¹, Qiyao Cong¹, Shuyan Guan^2,*, Jing Qu², Yao Dan¹

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1465-1482, 2022, DOI:10.32604/phyton.2022.018836 - 14 March 2022

Abstract Exploring the molecular mechanism of soybean response to drought stress, providing a basis for genetic improvement and breeding of heat-resistant varieties, relying on the transcriptome sequencing data of unpollinated ovary at the seven-leaf stage of soybean Jinong 18(JN18) and Jinong 18 mutant (JB18) soybeans, using reverse transcription, one gene in the sHSP family was cloned using PCR (RT-PCR) and it was named sHSP26. In this experiment, the soybean sHSP26 gene was successfully cloned by RT-PCR, the protein encoded by the sHSP26 gene was analyzed by bioinformatics, and the sHSP26 gene overexpression vector and CRISPR/Cas9 gene-editing vector were… More >

RUI XU¹, QIBIAO WU¹, YUHAN GONG², YONGZHE WU¹, QINGJIA CHI^1,*, DA SUN^3,*

BIOCELL, Vol.46, No.5, pp. 1261-1288, 2022, DOI:10.32604/biocell.2022.018427 - 06 January 2022

Abstract There is currently no effective solution to the problem of poor prognosis and recurrence of HCC. The technology of immunotherapy and prognosis of genetic material has made continuous progress in recent years. In the study, a 5-gene signature was established for the prognosis of HCC through biological information, and the immune infiltration of HCC patients was studied. After studied HCC patients’ immune infiltration, the paper screened the differential target genes of miR-126-3p in HCC downloaded from TCGA database, and uses WGCNA method to select the modular genes highly relevant to M2 macrophage. Then we use… More >

Fan Feng¹, Tingting Xia¹, Runze Zhao¹, Mengyue Wang¹, Li Yang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 131-131, 2019, DOI:10.32604/mcb.2019.07211

Abstract Objective: To study the effects of different substrate stiffness on human hepatocytes using RNA sequencing (RNA-Seq) technology. The stiffness was corresponding to physiology and pathology stiffness of liver tissues.
Results: With the aid of RNA-Seq technology, our study characterizes the transcriptome of hepatocytes cultured on soft, moderate, stiff and plastic substrates. Compared to soft substrate, our RNA-Seq results revealed 1131 genes that were up-regulated and 2534 that were down-regulated on moderate substrate, 1370 genes that were up-regulated and 2677 down-regulated genes on stiff substrate. Functional enrichment analysis indicated that differentially expressed genes were associated with More >

Sufang Wang^1,2, Wenjuan Zhao^1,2, Guolin Shi^1,2, Nu Zhang^1,2, Chen Zhang^1,2, Hui Yang^1,2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 100-100, 2019, DOI:10.32604/mcb.2019.07112

Abstract Long-term space flight will be a major mission for International Space Administration. However, it has been shown that exposure to space flight result in immune system dysfunction. Therefore, understand the mechanism of immune response under microgravity condition is a key topic. Macrophage is one of the most important immune cells in human body, playing key roles in both innate and adaptive immune systems. In this research, we used mouse macrophages (RAW264.7) and collected samples at short-term (8 hour), mediate-term (24 hour) and long-term (48 hour) microgravity treatment. We measured cell proliferation, phagocytosis function and used More >

Mian LIU¹, Xumeng ZHANG^{2, *}

BIOCELL, Vol.41, No.1, pp. 19-26, 2017, DOI:10.32604/biocell.2017.41.019

Abstract Bladder, kidney, prostate and testicular carcinoma are the top four genitourinary cancers in China. Here we analyzed mRNA and miRNA expression profiles of carcinomas of the bladder (TCC), kidney (ccRCC) and testis (TGCT) to uncover their specific regulatory mechanisms. The gene expression profiles of GSE31617 were downloaded from GEO database, which contained 27 samples, including 10 TCC, 7 TGCT and 10 ccRCC. Specific up- and downregulated differentially expressed genes (DEGs) and differentially expressed microRNAs (DEmiRNAs) of each cancer were selected and target genes of DEmiRNAs were predicted. Gene interaction network of the shared genes and… More >