VAN THI TUONG NGUYEN^1,2, KHUONG DUY PHAM^1,2,3, HUONG THI QUE CAO^1,2, PHUC VAN PHAM^1,2,*

BIOCELL, Vol.48, No.2, pp. 173-189, 2024, DOI:10.32604/biocell.2023.043664

Abstract Mesenchymal stem cells (MSCs) have been proposed in regenerative medicine, especially for angiogenic purposes, due to their potential to self-renew, differentiate, and regulate the microenvironment. Peripheral vascular diseases, which are associated with reduced blood supply, have been treated but not cured. An effective therapy is to recover blood supply via vessel regeneration in the affected area, and MSCs appear to be promising for such conditions. Several studies aimed to explore the role of MSCs in performing angiogenesis and have revealed numerous potential methods to enhance MSC capacity in vessel formation. Efforts have been made to modify standard MSCs to optimize… More > Graphic Abstract

CHUYAO WANG^1,2,#, CHUAN LU^2,#, LUXIANG ZOU^2,*, DONGMEI HE^2,*

BIOCELL, Vol.47, No.6, pp. 1293-1306, 2023, DOI:10.32604/biocell.2023.028199

Abstract Background: Temporomandibular joint osteoarthritis (TMJOA) is an end-stage disease that seriously affects the patients’ quality of life. Molecular insights in advancing our understanding of TMJOA are the need of the hour. Methods: We performed RNA high-throughput sequencing and bioinformatics analysis of differentially expressed (DE) long non-coding RNA (lncRNAs), microRNAs (miRNAs), and messenger RNA (mRNAs) in human synovial TMJOA tissues. Firstly, synovium samples of TMJOA patients and non-TMJOA controls were collected for highthroughput sequencing of lncRNAs, miRNAs, and mRNAs. We then performed biological function analysis of the top 100 mRNAs with more than 2-fold differential expression, and their upstream regulated miRNAs… More >

Yanyan Pu^1,#, Liwen Wang^2,#, Leilei Li³, Yujun Si⁴, Shubin Xie², Yunzhe Cong¹, Dong Wang¹, Yongchao Gong¹, Rumei Tian¹, Xue Chen³, Xiaoyan Zhang¹, Min Liu¹, Hanfeng Ding^1,3,*, Nana Li^1,3,*

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1793-1812, 2023, DOI:10.32604/phyton.2023.026822

Abstract During the life cycle of a plant, seed germination is crucial. Upon ingestion of water, the dry seeds resumed energy metabolism and cellular repair. To dissect the complex mechanisms at the very beginning of seed germination, two approaches including transcriptome and small RNA sequencing were conducted during the water imbibition process of mung bean seeds compared with dry seed. The transcriptome sequencing analysis identified 10,108 differentially expressed genes (DEGs) between dry and imbibed mung bean seeds. KEGG enrichment analyses demonstrated numerous DEGs involved in hormone signaling pathways, carbohydrate, and energy metabolism. Out of the total DEGs, 129 genes were investigated… More >

Yan Li^1,2, Dayou Liu^1,2, Yungang Zhu^1,2, Jie Liu^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 303-313, 2020, DOI:10.32604/cmes.2020.09353

Abstract Under different conditions, gene regulatory networks (GRNs) of the same gene set could be similar but different. The differential analysis of GRNs under different conditions is important for understanding condition-specific gene regulatory relationships. In a naive approach, existing GRN inference algorithms can be used to separately estimate two GRNs under different conditions and identify the differences between them. However, in this way, the similarities between the pairwise GRNs are not taken into account. Several joint differential analysis algorithms have been proposed recently, which were proved to outperform the naive approach apparently. In this paper, we model the GRNs under different… 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 target genes of DEmiRNAs of… More >