The purpose of this study was to chacterise the effect of KDM1A knocking down on genome-wide gene expression in human NSCLC cells in vivo. Affymetrix human transcriptome array 2.0 was used to profile the transcriptome of xenograft tumors derived from PC9 cells stably expressing either ShRNA KDM1A or ShRNA control. These cells were subcutanously injected into the right axillary of the mouse, and allowd to grow for 5 weeks to form xenograft tumors. Although KDM1A is up-regulated in NSCLC, but key genes and pathways regulated by KDM1A was not well-understood in NSCLC. Using this approach, we have shown that KDM1A repressed or activated a distinctive set of pathways and key target genes in vivo.
No associated publication
Specimen part
View SamplesMyocardial infarction (MI) is a highly prevalent cardiac emergency, which results in adverse left ventricular remodeling exacerbating progressive heart failure. Inflammation in post-MI is necessary for myocyte repair and wound healing. However, it is also a key component of subsequent heart failure pathology.
Myoblast transplantation improves cardiac function after myocardial infarction through attenuating inflammatory responses.
Specimen part, Disease, Disease stage, Treatment
View SamplesLung ischemia-reperfusion (I/R) injury remains one of the common complications after various cardiopulmonary surgeries. I-R injury represents one potentially maladaptive response of the innate immune system which is featured by an exacerbated sterile inflammatory response triggered by tissue damage.
No associated publication
Specimen part
View SamplesHyperphosphatemia is an independent risk factor for cardiovascular mortality in chronic kidney disease. High inorganic phosphorus can induce endothelial cell apoptosis, but the exact mechanism is not fully understood. This study addresses this knowledge gap.Microarray analysis was used to identify differentially expressed gene profiles in human umbilical vein endothelial cells (HUVECs) in high phosphate (3.0 mM) normal phosphate (1.0 mM) medium and low phosphate( 0.5mM).
No associated publication
Specimen part
View SamplesLittle is known about the roles of Rictor/mTORC2 in the leukemogenesis of AML. Here, we demonstrated that Rictor is essential for the maintenance of MLL-driven leukemia by preventing LSCs from exhaustion. Rictor depletion led to a reactive activation of mTORC1 signaling by facilitating the assembly of mTORC1. Hyperactivated mTORC1 signaling in turn drove LSCs into cycling, compromised the quiescence of LSCs and eventually exhausted their capacity to generate leukemia.
Rictor has a pivotal role in maintaining quiescence as well as stemness of leukemia stem cells in MLL-driven leukemia.
Specimen part
View SamplesWe used microarrays to detailed global expression of colorectal cancer cells that expressed high or low levels of carcinoembryonic antigen.
No associated publication
Specimen part, Cell line
View SamplesWe used microarrays to detail the global programme of gene expression underlying the coculturing of degenerate NPCs and ASCs and identified distinct classes of altered genes and ncRNAs during this process.
Aberrantly expressed messenger RNAs and long noncoding RNAs in degenerative nucleus pulposus cells co-cultured with adipose-derived mesenchymal stem cells.
Specimen part
View SamplesThe renewing human epidermis constantly senses and adapts to a wide range of mechanical cues that are ubiquitous throughout life. The mechanisms of how mechanical forces are responded by interfollicular epidermal stem cells (IFESCs) and are transmitted directly into nucleus to modify gene expression remain incompletely defined. In vitro, human IFESCs were cultured on the collagen I coated silicon rubber membrane and then subjected to the mechanical stretched. Cyclic mechanical tension at 0.5 Hz sinusoidal curve at 10% elongation was applied using an FX-5000T Flexercell Tension Plus unit (Flexcell International Corporation). In mechanical unloading groups, cells were cultured on the same plates in the same incubator with the mechanical stretched groups but not subjected to stretch. Combining genome-wide microarray and functional analyses, we made transcriptome analysis of samples from the mechanical unstretched or stretched isolated human IFESCs.
No associated publication
Specimen part, Treatment
View SamplesHepatitis B virus (HBV) infection is a leading risk factor for liver fibrosis (LF) and hepatocellular carcinoma. Emerging evidence indicates that host genetic, virological and immunological factors will influence the fibrotic progress. Many previous studies have focused on specific pathways or genes included in LF mechanism, however global view of the whole genome expresion profile in HBV related LF patients never been studied, and the mechanisms underlying the promotion of liver fibrosis progression remain obscure. Here we collected liver biopsy samples from 124 chronic hepatitis B (CHB) patients and used Affymetrix HG U133 Plus 2.0 microarray to quantify the transcriptome of these patients. Through integrated data analysis, including geneset enrichment analysis (GSEA), weighted gene co-expression analysis (WGCNA), differential expressed gene (DEG) screening, trend test, principle component analysis (PCA) etc., we identified several key pathways and hub genes participated in the initiation and exacerbation of liver fibrotic progress. The function of these hub genes were also validated by in vitro and in vivo experiments using HepG2, Huh7 and LX-2 cell lines and transgenic mice. This is the first large-scale study investigating the gene expression profile in HBV-related LF patients which will be crucial for unlocking the gene functions and gene-gene correlations in fibrosis progess.
Characterization of gene expression profiles in HBV-related liver fibrosis patients and identification of ITGBL1 as a key regulator of fibrogenesis.
Sex, Age, Specimen part
View SamplesProstate cancer (PCa) is a common cancer and remains the second leading cause of cancer-associated mortality in men. To investigate the involvement of differentially expressing genes in PCa with deregulated pathways to allow earlier diagnosis of the disease, transcriptomic analyses of differential expression genes in Fine-Needle Aspiration (FNA) biopsies were for discrimination of PCa from benign prostatic hyperplasia (BPH). The RNA samples were extracted from four PCa biopsy samples and four BPH biopsy controls for microarray profiling and performed in Affymetrix Human U133 Plus 2 arrays for gene expression profiling analysis. Microarray data were analyzed using GeneSpring GX 10 (Agilent).On average, we detected expression of 47,000 transcripts.Under the criteria fold change > 2 or < 0.5, we obtained 1819 differential expressed genes(DEGs).Hierarchy cluster analysis also indicated that the 8 samples were distributed into two clusters, 4 PCa samples in one cluster and 4 BPH samples in another cluster.Then,qRT-PCR validation of the DEGs in PCa tissue and prostate cancer cells.The results revealed that grouping was reasonable and the data can be directly applied to further analysis.
No associated publication
Specimen part
View Samples