JI SHI^1,2, YE ZHANG², YI CHEN², TANGJUN GUO^3,*, HAOZHE PIAO^2,*

BIOCELL, Vol.48, No.8, pp. 1241-1263, 2024, DOI:10.32604/biocell.2024.051049 - 02 August 2024

Abstract Background: Glioblastoma multiforme (GBM) is the most general malignancy of the primary central nervous system that is characterized by high aggressiveness and lethality. Transmembrane protein 159 (TMEM159) is an endoplasmic reticulum protein that can form oligomers with seipin. The TMEM159-seipin complex decides the site of lipid droplet (LD) formation, and the formation of LDs is a marker of GBM. However, the role of TMEM159 in the progression of GBM has not been investigated to date. Methods: In this study, we examined the genes that may be associated with patient prognosis in GBM by bioinformatics analyses,… More >

Aisa Zulibiya^1,2,#, Jing Wen^3,#, Huiqing Yu^3,#, Xiaoming Chen³, Lei Xu³, Xiao Ma^1,2, Baojian Zhang^1,2,*

Congenital Heart Disease, Vol.18, No.6, pp. 611-625, 2023, DOI:10.32604/chd.2023.047689 - 19 January 2024

Abstract Background: Tetralogy of Fallot (TOF) is a very common cyanotic congenital heart disease. Endothelial-to-mesenchymal transition (EndoMT) is recognized as a physiological mechanism involved in embryonic heart development and endothelial formation. However, there is still a gap in the reports related to the mechanism of EndoMT development in TOF. Methods: First, transcriptomic data of single cell nuclei of TOF and Donor were obtained based on the Gene Expression Omnibus (GEO) database, and the data were normalized and clustered by dimensionality reduction using the Seurat package. Subsequently, differentially expressed genes (DEGs) between TOF and Donor were screened… More >

Lina Tang^1,2, Haiyan Hu², Yan Zhou², Yujing Huang², Yonggang Wang², Yawen Zhang², Jinrong Liang², Zhenxin Wang^1,*

Oncologie, Vol.24, No.4, pp. 913-925, 2022, DOI:10.32604/oncologie.2022.026296 - 31 December 2022

Abstract Objective: To investigate the expression of alpha–smooth muscle actin (ACTA2) in osteosarcoma tissues and its relationship with prognosis. Methods: Prognostic analysis of lung metastasis–related genes in osteosarcoma using the TCGA database. Single-cell sequencing detected the expression of ACTA2 in 11 osteosarcoma tissues. Paraf- fin-embedded tissues of 74 osteosarcoma patients treated at the Sixth People’s Hospital of Shanghai Jiao Tong University from 2014 to 2019 were collected, and tissue microarrays were prepared. ACTA2 expression was detected and scored by immunohistochemistry. According to the median value of the ACTA2 histochemical score, 74 patients were divided into two groups, the… More >

JIRUI WEN^1,#, WENCHAO WU^2,#, MIN TANG¹, MINGYUE BAO¹, XUELING HE³, XINGHONG YAO¹, LIANG LI^1,*

BIOCELL, Vol.46, No.3, pp. 655-665, 2022, DOI:10.32604/biocell.2022.016915 - 18 November 2021

Abstract To dissect which subset of bone marrow monocyte is the major precursor of osteoclast, 3-month-old rat bone marrow was obtained for single-cell RNA sequencing. A total of 6091 cells were acquired for detailed analysis, with a median number of 1206 genes detected per cell and 17,959 genes detected in total. A total of 19 cell clusters were recognized, with the main lineages identified as B cells, Granulocytes, Monocytes, T cells, Erythrocytes and Macrophages. Monocytes were further divided into classical monocytes and non-classical monocytes. Compared with non-classical monocytes, classical monocytes highly expressed osteoclast differentiation related genes… More >

JOE R. DELANEY^*

BIOCELL, Vol.45, No.5, pp. 1167-1170, 2021, DOI:10.32604/biocell.2021.017296 - 12 July 2021

Abstract Single-cell sequencing data has transformed the understanding of biological heterogeneity. While many flavors of single-cell sequencing have been developed, single-cell RNA sequencing (scRNA-seq) is currently the most prolific form in published literature. Bioinformatic analysis of differential biology within the population of cells studied relies on inferences and grouping of cells due to the spotty nature of data within individual cell scRNA-seq gene counts. One biologically relevant variable is readily inferred from scRNA-seq gene count tables regardless of individual gene representation within single cells: aneuploidy. Since hundreds of genes are present on chromosome arms, high-quality inferences More >

XIANLIANG HOU^1,2,3,#, DONGE TANG^1,#, FENGPING ZHENG^1,#, MINGLIN OU³, YONG XU¹, HUIXUAN XU¹, XIAOPING HONG⁴, XINZHOU ZHANG¹, WEIER DAI⁵, DONGZHOU LIU^4,*, YONG DAI^1,*

BIOCELL, Vol.44, No.4, pp. 559-582, 2020, DOI:10.32604/biocell.2020.011022 - 24 December 2020

Abstract Systemic lupus erythematosus (SLE) is a systemic autoimmune disease characterized by abnormal cellular and humoral immune responses and excessive autoantibody production. The precise pathologic mechanism of SLE remains elusive. The advent of single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the molecular differences of cell populations at the single-cell level. We used scRNA-seq to profile the transcriptomes of peripheral blood mononuclear cells from an SLE patient compared with a healthy control (HC). A total of 16,021 cells were analyzed and partitioned into 12 distinct clusters. The marker genes of each cluster and the four major… More >