Objective To explore the microRNA （miRNA） expression changes and related miRNA characteristics of colorectal cancer （CRC） with hepatic metastasis by miRNA microarray. Methods The fresh specimens of primary CRC were collected in 10 patients during operation， which with hepatic metastasis or not. miRNA microarray analysis was performed to compare the miRNA expression levels in two groups. The different expression levels of miRNA were validated by quantitative real-time PCR analysis. Results A total of six dysregulated miRNAs were identified in the CRC patients with hepatic metastasis comparing with CRC patients without hepatic metastasis， including 3 up-regulated miRNAs （miR-224， miR-1236， and miR-622） and 3 down-regulated miRNAs （miR-155， miR-342-5p， and miR-363）， and the quantitative real-time PCR result of miR-224 consisted with the microarray finding. Conclusions miR-224 may be involved in the process of CRC with hepatic metastasis pathogenesis. miR-224 would be a research direction on a new biomarker or therapic method in CRC with hepatic metastasis.
DNA microarray has become an essential medical genetic diagnostic tool for its high-throughput, miniaturization and automation. The design and selection of oligonucleotide probes are critical for preparing gene chips with high quality. Several sets of probe design software have been developed and are available to perform this work now. Every set of the software aims to different target sequences and shows different advantages and limitations. In this article, the research and development of these sets of software are reviewed in line with three main criteria, including specificity, sensitivity and melting temperature (Tm). In addition, based on the experimental results from literatures, these sets of software are classified according to their applications. This review will be helpful for users to choose an appropriate probe-design software. It will also reduce the costs of microarrays, improve the application efficiency of microarrays, and promote both the research and development (R&D) and commercialization of high-performance probe design software.
Abstract： Objective To study the difference of gene expression profile of bone marrow mesenchymal stem cells （MSCs） cultured in vitro from coronary heart disease patient with or without diabetes mellitus by Affymetrix Gene array. Methods One male patient at age of 53 years with coronary heart disease and diabetes mellitus was included in this study with the diagnosis of coronary heart disease and type 2 diabetes mellitus. Another male patient at age of 51 years with coronary heart disease without diabetes mellitus was also included in this study with the diagnosis of coronary heart disease. MSCs of the two patients were isolated and purified by the methods of density gradient centrifugation with lymphocyte separation medium for human and adherent filtration. The MSCs expression profile of cytokines and signal transduction genes were examined by Affymetrix gene array. Results There were 27 functional protein genes expression in the patient with coronary heart disease and diabetes mellitus relating to cell apoptosis, cytokine, and signal transduction. Among them, the expression of 13 functional genes, including TNFRSF10B, TNFRSF21, NGF, CAV2, ITGA8, TNS1, ITGA2, AKT3, MBP, MAP2, INHBA, FST, PLA2G5, increased significantly in the patient with coronary heart disease and diabetes mellitus. However, the expression level of 14 genes, including EPR1, BIRC5, HELLS, BCL2, HGF, CASP1, SEPP1, ITGA9, MAP2K6, RUNX3, TGFBR2, RUNX2, CTNNB1, CDC42, decreased significantly. Conclusion The gene expression profile of bone marrow MSCs from coronary heart disease patient with diabetes mellitus is significantly different from the patient with coronary heart disease patient without diabetes mellitus.
This study aims to clarify host factors of IFN treatment in the treatment of chronic hepatitis B (CHB) patients by screening the differentially expressed genes of IFN pathway CHB patients with different response to interferon (IFN) therapy. Three cases were randomly selected in IFN-responding CHB patients (Rs), non-responding CHB patients (NRs) and healthy participants, respectively. The human type I IFN response RT2 profiler PCR array was used to detect the expression levels of IFN-related genes in peripheral blood monocytes (PBMCs) from healthy participants and CHB patients before and after Peg-IFN-α 2a treatment. The results showed that more differentially expressed genes appeared in Rs group than NRs group after IFN treatment. Comparing with healthy participants, IFNG, IL7R, IRF1, and IRF8 were downregulated in both Rs and NRs group before IFN treatment; CXCL10, IFIT1, and IFITM1 were upregulated in the Rs; IL13RA1 and IFI35 were upregulated in the NRs, while IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1, and ADAR were downregulated. The expression of IL15, IFI35 and IFI44 was downregulated by 4.09 (t = 10.58, P < 0.001), 5.59 (t = 3.37, P = 0.028) and 10.83 (t = 2.8, P = 0.049) fold in the Rs group compared with the NRs group, respectively. In conclusion, IFN-response-related gene array is able to evaluate IFN treatment response by detecting IFN-related genes levels in PBMC. High expression of CXCL10, IFIT1 and IFITM1 before treatment may suggest satisfied IFN efficacy, while high expression of IL13RA1, IL15, IFI35 and IFI44 molecules and low expression of IFRD2, IL11RA, IL4R, IRF3, IRF4, PYHIN1 and ADAR molecules may be associated with poor IFN efficacy.
Objective
To study the differences in gene expression in A549 cells transfected with Forkhead box protein O1(FOXO1),and provide clues to further exploring the mechanism of FOXO1 in acute lung injury.
Methods
After using TNF-α to stimulate A549 cells,the eukaryotic expression vector GV230-FOXO1 was transfected into A549 cells by using lipofectamine transfection reagent.The RNA was isolated and differentially expressed genes were screened with high-throughout DNA microarray.
Results
The eukaryotic expression vector GV230-FOXO1 was successfully constructed and verified.High quality mRNA was isolated and prepared for microarray screening,which passed RNA quality control.The DNA microarray data indicated that 317 genes were up-regulated and 237 genes were down-regulated in A549 cells transfected with FOXO1.The function of these differentially expressed genes involved in many aspects,such as proliferation,apoptosis and differentiation.
Conclusions
Differentially expressed genes in A549 cells transfected with FOXO1 can be successfully screened by using DNA microarray.FOXO1 may influence the progression of the disease by changing the level of cell proliferation,apoptosis and differentiation in acute lung injury.
Objective To determine the application values of gene chip technique in cardiovascular surgical clinical and research work. Microarray for gene expression profiles was used to screen out the differentially expressed genes during cardiopulmonary bypass(CPB) in peripheral blood mononuclear cell. By doing these, it was hoped that some clues in inflammatory response during CPB could be found out. Methods The patients’ oxygenated bloods were drawn immediately before onset and termination of CPB. Peripheral blood mononuclear cell (PBMC) were obtained from heparinised blood by Ficoll gradient centrifugation. The differentially expression was measured using BD AtlasTM cDNA Expression Arrays. The candidate genes were corroborated by semiquantitative reverse transcriptionpolymerase chain reaction (RT-PCR). Results Gene chip technique was successfully used in CPB study. The gene expression profiles of cytokines of PBMC during CPB were screened out. Interleukin 6 and Wnt5a were the differentially expressed genes. But the validity using semiquantitative RT-PCR found no statistically difference(P=0.888,0.135). Conclusion Microarray technique has positive application values in the study of cytokines during CPB. cDNA microarray for gene expression profiles can primarily screen out differentially expression genes during CPB. These genes may be engaged in inflammation and other pathophysiological reactions during CPB. PBMC is not the major source of cytokines during CPB.
Objective To identify genes associated with hepatocellular carcinoma (HCC) as candidate diagnostic markers in a genome-wide scale. Methods The gene expression profiles of 40 pairs of HCC tumor tissue and peripheral non-tumorous liver tissue were analyzed by using gene chip technology.The gene chips were fabricated at the National Cancer Institute (NCI). Each gene chip contained 9 180 genes. The fluorescent targets were prepared by a direct labeling approach using two kinds of fluorescences as following: 100 μg of total RNA from non-cancerous liver tissue was labeled with Cy3-dUTP and 200 μg of total RNA from HCC was labeled with Cy5-dUTP. The targets were mixed together and hybridized with genes on the gene chips. Unsupervised hierarchical clustering analysis was done by CLUSTER and TREEVIEW software using median centered correlation and complete linkage. Results A total of 10 genes were found up-regulated in over 80% of primary tumors comparing with that of their corresponding non-tumorous liver tissues at a two-fold filter with an unsupervised hierarchical clustering algorithm, including protocadherin-alpha 9, ESTs, Homo sapiens cDNA FLJ, KPNA2, RPS20, SNRPE, CDKN2A, UBD, MDK and ANXA2.Conclusion These genes are supposed to be candidates for the diagnosis of HCC. Further investigation of these genes in a large scale of patients with HCC and patients with non-malignant hepatic diseases will be needed to disclose whether they could be used clinically as novel diagnostic tumor markers for HCC.
ObjectiveTo investigate the microRNA (miRNA) expression profile during chondrogenic differentiation of human adipose-derived stem cells (hADSCs), and assess the roles of involved miRNAs during chondrogenesis.
MethodshADSCs were harvested and cultured from donors who underwent elective liposuction or other abdominal surgery. When the cells were passaged to P3, chondrogenic induction medium was used for chondrogenic differentiation. The morphology of the cells was observed by inverted phase contrast microscopy. Alcian blue staining was carried out at 21 days after induction to access the chondrogenic status. The expressions of chondrogenic proteins were detected by ELISA at 0, 7, 14, and 21 days. The miRNA expression profiles at pre- and post-chondrogenic induction were obtained by microarray assay, and differentially expressed miRNAs were verified by real-time quantitative PCR (qRT-PCR). The targets of the miRNAs were predicted by online software programs.
ResultshADSCs were cultured successfully and induced with chondrogenic medium. At 21 days after chondrogenic induction, the cells were stained positively for alcian blue staining. At 7, 14, and 21 days after chondrogenic induction, the levels of collogen type Ⅱ, Col2a1, aggrecan, Col10a1, and chondroitin sulfate in induced hADSCs were significantly higher than those in noninduced hADSCs (P<0.05). Eleven differentially expressed miRNAs were found, including seven up-regulated and four down-regulated. Predicted target genes of the differentially expressed miRNAs were based on the overlap from three public prediction algorithms, with the known functions of regulating chondrogenic differentiation of stem cells, selfrenewal, signal transduction, intracellular signaling cascade, and cell cycle control.
ConclusionA group of miRNAs and their target genes are identified, which may play important roles in regulating chondrogenic differentiation of hADSCs. These results will facilitate the initial understanding of the molecular mechanism of chondrogenic differentiation in hADSCs and subsequently control hADSCs differentiation, and provide high performance seed cells for cartilage tissue engineering.
ObjectiveTo analyze the expression and prognostic value of PHD Finger Protein 19 (PHF19) in non-small cell lung cancer (NSCLC) based on gene chip data. MethodsThe data about The Cancer Genome Atlas (TCGA) lung cancer patients were downloaded to analyze the expression of PHF19 in lung cancer. The data sets GSE30219 and GSE50081 were downloaded from the Gene Expression Omnibus (GEO), and the patients were screened into the training set and the validation set respectively, thus analyzing the relationship between PHF19 expression, gender, age, tumor clinical stage, pathological type and disease-free survival (DFS), as well as their relationship with overall survival (OS). Gene Ontology (GO)-Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and immune infiltration analysis were performed on PHF19 and co-expression related genes in lung cancer patients through the online database. ResultsThe data from TCGA and GEO showed PHF19 was highly expressed in lung cancer (P<0.001), and PHF19 expression was related to tumor stage. The NSCLC patients in the PHF19 low expression group had longer DFS and OS than those in the high expression group (P<0.05). Multivariate COX regression analysis showed PHF19 was an independent prognostic factor in NSCLC patients (P<0.05). A nomogram drawing to predict the survival rate of lung cancer patients and verifying the C index showed the model has good accuracy. Gene enrichment analysis showed PHF19 high expression is mainly related to the cell cycle, cell nucleus, chromatin, etc. Immune infiltration analysis showed PHF19 is closely related to immune cell infiltration. ConclusionsPHF19 can be used as an indicator to predict the prognosis of NSCLC. PHF19 high expression is an independent predictor of poor prognosis of NSCLC and may be a new target for its treatment.
