RÉSUMÉ
<p><b>OBJECTIVE</b>To investigate the genes associated with temporal epilepsy and explore the molecular mechanism of epilepsy.</p><p><b>METHODS</b>The microarray data of temporal epilepsy were downloaded from the Gene Expression Omnibus (GEO) database and analyzed by bioinformatics methods using String, KEGG and Panther databases.</p><p><b>RESULTS</b>Of all the 71 differentially expressed genes, 51 were found to encode proteins with interactions; the main biological pathways involved included neuroactive ligand-receptor interactions, MAPK signaling pathway, and calcium signaling pathway etc.</p><p><b>CONCLUSION</b>The pathogenesis of epilepsy involves multiple genes, and investigations of these genes may provide valuable insights into the mechanism of epilepsy.</p>
Sujet(s)
Femelle , Humains , Mâle , Biologie informatique , Méthodes , Épilepsie temporale , Génétique , Expression des gènes , Analyse de profil d'expression de gènes , Méthodes , Système de signalisation des MAP kinases , Génétique , Séquençage par oligonucléotides en batterieRÉSUMÉ
<p><b>OBJECTIVE</b>To predict the function of KIAA0101 gene over-expressed in human non-small cell lung cancer by bioinformatics methods.</p><p><b>METHODS</b>The gene expression profiles of the lung cancer tissues and the adjacent normal tissues were compared by dChip software analysis, and the differential genes coexpressed with KIAA0101 gene were identified. The biological functions of these genes were analyzed using the Database for Annotation, Visualization and Integrated Discovery (DAVID), Gene Ontology (GO) and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), and the common transcription factors of these genes were predicted using Gene Annotation Tool to Help Explain Relationships (GATHER).</p><p><b>RESULTS</b>Nine genes were found to have at least two-fold overexpressions in the lung cancer tissues in comparison with the expression level in the adjacent normal tissues, and showed similar pattern of expression variations in the lung cancer tissue. Most of these genes had the E2F1 binding sites in the promoter region.</p><p><b>CONCLUSION</b>KIAA0101 gene may participate in the cell cycle regulation of the non-small cell lung cancer, and the expression levels of the 9 genes identified may be regulated by the transcription factor E2F1.</p>
Sujet(s)
Humains , Carcinome pulmonaire non à petites cellules , Génétique , Protéines de transport , Génétique , Métabolisme , Analyse de profil d'expression de gènes , Méthodes , Tumeurs du poumon , GénétiqueRÉSUMÉ
<p><b>OBJECTIVE</b>To investigate the effect of cinobufagin on nuclear factor-kappaB (NF-kappaB) pathway of liver cancer cell line HepG2.</p><p><b>METHODS</b>Dual-luciferase cis-reporting system was used to detect the relative value of pNF-kappaB-TA-luc upon tumor necrosis factor-alpha (TNF-alpha) stimulation of NF-kappaB pathway. Western blotting was used to detect the protein level of NF-kappaB p65, and RT-PCR was used to detect the gene transcription level of intercellular adhesion molecule-1 (ICAM-1), a target downstream gene of NF-kappaB.</p><p><b>RESULTS</b>At the concentration of 0.25 and 0.5 microg/ml, cinobufagin significantly lowered the relative value of luciferase (P<0.05). The results of Western blotting showed that cinobufagin significantly suppressed the protein expression of NF-kappaB p65. The transcription level of ICAM-1 was reduced by different doses of cinobufagin.</p><p><b>CONCLUSION</b>The anti-cancer effect of cinobufagin may be related to its activity in inhibiting the activation of NF-kappaB pathway.</p>
Sujet(s)
Humains , Antinéoplasiques , Pharmacologie , Bufanolide , Pharmacologie , Cellules HepG2 , Molécule-1 d'adhérence intercellulaire , Génétique , Métabolisme , Matière médicale , Pharmacologie , Facteur de transcription NF-kappa B , Transduction du signal , Facteur de transcription RelA , Génétique , MétabolismeRÉSUMÉ
<p><b>OBJECTIVE</b>To study the data of gene expression microarray by protein interaction network analysis, establish an interaction network of differentially expressed genes in invasive bladder cancer and verify the central nodes of the network.</p><p><b>METHODS</b>A total of 152 differentially expressed genes in invasive bladder cancer detected by gene expression microarray were inputted into STRING database online for analysis and establishment of the interaction network. The interaction data were imported into Cytoscape 2.6.2 software for screening the central nodes of the network. KEGG database was exploited for pathway analysis and functional study of the central node genes. Real-time RT-PCR was used for verification, and the genes with maximal differential expressions were screened for exploring the molecular mechanism of carcinogenesis of invasive bladder cancer.</p><p><b>RESULTS</b>The protein products of 103 differentially expressed genes in bladder cancer had interactions, forming a complicated interaction network. Twenty-six nodes involved in several signal pathways were confirmed by Cytoscape as the central nodes of the network, among which UBE2C, VEGF, TGFBR2, and CAV1 nodes were verified by real-time RT-PCR as the genes with maximal differential expressions between the bladder cancer and normal tissues, and the 2(-delta delta Ct) of these genes were 9.45, 4.17, 0.13 and 0.18 (GAPHD as the internal control), respectively.</p><p><b>CONCLUSION</b>The interaction network of the differentially expressed genes, especially the central nodes of this network, can provide clues to the carcinogenesis, early diagnosis and molecular targeted therapy of invasive bladder cancer.</p>
Sujet(s)
Humains , Analyse de profil d'expression de gènes , Régulation de l'expression des gènes tumoraux , Cartes d'interactions protéiques , Génétique , RT-PCR , Tumeurs de la vessie urinaire , Génétique , MétabolismeRÉSUMÉ
<p><b>OBJECTIVE</b>To investigate the time course of let-7a microRNA expression in the cell cycle of HeLa cells.</p><p><b>METHODS</b>HeLa cells were synchronized in G(1), S and G(2)/M phases using double-thymidine block, and the cell cycle phases were defined by flow cytometry. Real-time quantitative RT-PCR was used to examine the expression of let-7a in HeLa cells in different cell cycle phases.</p><p><b>RESULTS</b>The synchronization rates of G(1), S and G(2)/M phases were 84.81%, 83.65% and 77.69%, respectively. Let-7a was constitutively expressed throughout the cell cycle in HeLa cells, but the expression levels in G(1) and S phases were lower than those in G(2)/M phase.</p><p><b>CONCLUSIONS</b>Cell cycle can significantly influence the expression level of let-7a, which may provide new clues to the understanding of the cell cycle control mechanisms.</p>
Sujet(s)
Humains , Cycle cellulaire , Génétique , Régulation de l'expression des gènes tumoraux , Physiologie , Cellules HeLa , microARN , Génétique , MétabolismeRÉSUMÉ
<p><b>OBJECTIVE</b>To prepare an Epstein-Barr virus (EBV) microarray using known and predicted EBV-coded genes as the cDNA probes to detect the EBV gene expression in nasopharyngeal carcinoma (NPC) tissues.</p><p><b>METHODS</b>The EBV gene probes were amplified by PCR using a pair of primers designed in both sides of the multiple clone site (MCS) of the T/A vector. After purification of the PCR products, 85 EBV genes and 8000 human genes were printed onto the same slide as the detection chip consisting of both EBV and human genes. This genechip was used to detect the differential gene expression in NPC and non-cancerous nasopharynx (NP) tissues.</p><p><b>RESULTS</b>Detection of the human gene expression profile using the prepared genechip resulted in the identification of numerous human genes in the tissue specimens. Some EBV genes were also detected in the tissues using the genechip, but the signals of the genes appeared rather weak without distinctly visible fluorescence, and were not comparable to the strong signal intensities of the human genes.</p><p><b>CONCLUSION</b>The EBV microarray, though constructed successfully, can not meet the needs for clinical application due to the limited detection sensitivity and the relative small quantity of EBV gene expression in NPC samples. Further improvements of the research methods are warranted.</p>
Sujet(s)
Humains , Carcinome épidermoïde , Virologie , Analyse de profil d'expression de gènes , Génome viral , Génétique , Herpèsvirus humain de type 4 , Génétique , Tumeurs du rhinopharynx , Virologie , Séquençage par oligonucléotides en batterie , MéthodesRÉSUMÉ
<p><b>OBJECTIVE</b>To analyze and predict the structure and function of mosquito densovirus (MDV) nostructual protein1 (NS1).</p><p><b>METHODS</b>Using different bioinformatics software, the EXPASY pmtparam tool, ClustalX1.83, Bioedit, MEGA3.1, ScanProsite, and Motifscan, respectively to comparatively analyze and predict the physic-chemical parameters, homology, evolutionary relation, secondary structure and main functional motifs of NS1.</p><p><b>RESULTS</b>MDV NS1 protein was a unstable hydrophilic protein and the amino acid sequence was highly conserved which had a relatively closer evolutionary distance with infectious hypodermal and hematopoietic necrosis virus (IHHNV). MDV NS1 has a specific domain of superfamily 3 helicase of small DNA viruses. This domain contains the NTP-binding region with a metal ion-dependent ATPase activity. A virus replication roller rolling-circle replication(RCR) initiation domain was found near the N terminal of this protein. This protien has the biological function of single stranded incision enzyme.</p><p><b>CONCLUSION</b>The bioinformatics prediction results suggest that MDV NS1 protein plays a key role in viral replication, packaging, and the other stages of viral life.</p>
Sujet(s)
Animaux , Biologie informatique , Culicidae , Virologie , Densovirus , Chimie , Classification , Génétique , Données de séquences moléculaires , Phylogenèse , Structure secondaire des protéines , Structure tertiaire des protéines , Protéines virales non structurales , Chimie , GénétiqueRÉSUMÉ
<p><b>OBJECTIVE</b>To better understand the molecular pathogenesis of cervical cancer, and provide novel means for clinical diagnosis and treatment of this malignancy.</p><p><b>METHODS</b>The gene chip data of cervical cancer were obtained from GEO database and statistically analyzed using BRB-ArrayTools to identify the genes related to cervical cancer with bioinformatics analysis using Panther software.</p><p><b>RESULTS</b>Thirty-seven differentially expressed genes were identified in cervical, cancer samples, including 23 up-regulated and 14 down-regulated genes. These genes were associated with the cell skeletons transporters and such processes as cell signal transduction, transcriptional control, cell adhesion, and cell apoptosis.</p><p><b>CONCLUSION</b>Bioinformatics analysis can help with effective analysis of the gene chip data. The pathogenesis of cervical cancer involves abnormal expression of multiple genes, and these data may benefit further investigations of the early diagnosis and treatment of the malignancy.</p>
Sujet(s)
Femelle , Humains , Marqueurs biologiques tumoraux , Génétique , Biologie informatique , Méthodes , Analyse de profil d'expression de gènes , Méthodes , Régulation de l'expression des gènes tumoraux , Gènes suppresseurs de tumeur , Séquençage par oligonucléotides en batterie , Tumeurs du col de l'utérus , GénétiqueRÉSUMÉ
<p><b>OBJECTIVE</b>To analyze alterations in the gene expression profiles of Velcade-treated K562 cells using bioinformatics methods.</p><p><b>METHODS</b>The total RNAs of Velcade-treated and control K562 cells were amplified and labeled with fluorescent dyes. The labeled RNAs were hybridized to Agilent Human 1A Microarray, and the raw expression data were processed with Agilent Feature Extraction Software. GeneSifter and GATHER were used for data analysis of the differentially expressed genes to perform gene ontology classification, KEGG pathway analysis, functional protein association network construction and literature mining.</p><p><b>RESULTS</b>Totally 228 differentially expressed genes were identified in the Velcade-treated K562 cells. including 84 up-regulated and 144 down-regulated genes. Chymase 1 gene had the greatest down-regulation by 10.80 folds (log ratio), and interferon alpha-21 gene was also down-regulated by 2.31 folds. Gene ontology classification suggested enhanced aging and leukocyte activity. KEGG pathway analysis showed significant impact of Velcade on JAK-STAT signaling pathway, cytotoxicity mediated by natural killer cells, and antigen processing and presentation pathways. Protein-protein interaction analysis revealed that ubiquitin-dependent protein catabolism, antigen presentation and immune response, as well as JAK-STAT signaling pathway were the major elements of the protein network. Literature mining showed that the differentially expressed genes were strongly associated with terms such as leukemia, apoptosis, cell cycle, proteasome, inhibitor, aging and IkappaB, etc.</p><p><b>CONCLUSIONS</b>Velcade may inhibit the cell survival pathways such as NF-kappaB and JAK-STAT signaling pathways to enhance the cytotoxicity and inducing tumor cell apoptosis. Velcade might also be involved in antigen processing and presentation, immune response and inflammation. Chymase 1 gene is probably the key target of Velcade.</p>
Sujet(s)
Humains , Antinéoplasiques , Pharmacologie , Apoptose , Acides boroniques , Pharmacologie , Bortézomib , Chymases , Génétique , Analyse de profil d'expression de gènes , Régulation de l'expression des gènes tumoraux , Cellules K562 , Séquençage par oligonucléotides en batterie , Méthodes , Pyrazines , PharmacologieRÉSUMÉ
<p><b>OBJECTIVE</b>To explore the mechanism of transcription regulation of the liver-selective genes responsible for cell communication.</p><p><b>METHODS</b>Tissue-selective Affymetrix probe sets (3919 probes in total) were clustered by functional categories. Liver-selective cell communication (LSCC) genes were selected for further analysis. The 500-bp upstream sequences of all the LSCC genes were extracted for predicting the transcription factor binding sites (TFBS) of known transcription factors (TFs) using 3 programs; literature mining was then performed for these LSCC genes and TFs, and the transcription regulatory network were constructed.</p><p><b>RESULTS</b>The binding sites of 50 and 72 transcription factors were predicted from the upstream sequences of 23 LSCC genes by two programs respectively. Among them, 18 transcription factors were found in common. The top 10 TFBS sequences were basically consistent to the predicted TFs. Literature mining indicated that LSCC genes and TFs were closely related to such terms as albumin, diabetes, glucose, lipid, metabolism, and JNK, in addition to those associated with hepatic tissue and TFs. These observations suggested that LSCC genes and TFs were involved in the regulation of glucose and lipid metabolism, binding and transport, coagulation signal cascades, inflammatory response, etc. PPP2R1B, which was out of the network, showed a partial functional similarity to DUSP10 in the network.</p><p><b>CONCLUSIONS</b>LSCC genes and the predicted TFs may be involved in the regulation of many important functions of the liver, which are integrated into a sophisticated transcription regulatory network. JUN may be the key target for regulation, and PPP2R1B is presumed to participate in the regulation of JUN.</p>
Sujet(s)
Humains , Sites de fixation , Génétique , Communication cellulaire , Génétique , Analyse de profil d'expression de gènes , Régulation de l'expression des gènes , Réseaux de régulation génique , Génétique , Foie , Biologie cellulaire , Métabolisme , Modèles biologiques , Facteurs de transcription , Génétique , Transcription génétiqueRÉSUMÉ
Based on signal to noise ratio and probabilistic neural network method associated with experimental data,all analysis model in gastric carcinoma is presented.According to the available information,the samples of gastric carcinoma can be tested and ana.Lyzed.The signal to noise ratio is first calculated.Secondly,records in the database are chosen as a training set to build a probabilistie neural network model and the feature subset is selected according to accuracy.Finally,test set is to test accuracy of model.The model is implemented using MATLAB,and it can be generalized and applied to similar disease auxiliary diagnosis region.
RÉSUMÉ
Based on signal to noise ratio and probabilistic neural network method associated with experimental data,all analysis model in gastric carcinoma is presented.According to the available information,the samples of gastric carcinoma can be tested and ana.Lyzed.The signal to noise ratio is first calculated.Secondly,records in the database are chosen as a training set to build a probabilistie neural network model and the feature subset is selected according to accuracy.Finally,test set is to test accuracy of model.The model is implemented using MATLAB,and it can be generalized and applied to similar disease auxiliary diagnosis region.
RÉSUMÉ
<p><b>OBJECTIVE</b>To study the effect of antizyme 1 (ZA1) gene transfection on the cell proliferation, cell cycle and apoptosis of human neuroblastoma SH-SY5Y cells in vitro.</p><p><b>METHODS</b>The recombinant eukaryotic expression vector pAZ1m was constructed by cloning mutant AZ1 gene into the vector pEGFP-N1, and subsequently transfected in SH-SY5Y cells. The transfected cell proliferation was examined using MTT assay, and the changes in cell cycle and apoptosis were assayed using flow cytometry analysis. RT-PCR was performed to measure cyclin D1 and caspase-3 mRNA expressions, Western blotting carried out to examine cyclin D1 protein expression, and the changes in caspase-3 activity were detected using a caspase-3 detection kit.</p><p><b>RESULTS</b>AZ1 gene transfection significantly inhibited the proliferation of SH-SY5Y cells, causing cell cycle arrest at G0/G1 stage and down-regulated cyclin D1 and up-regulated caspase-3 expressions. Obviously increased caspase-3 activity was also observed in the transfected cells.</p><p><b>CONCLUSION</b>Exogenous AZ1 gene transfection can inhibit the proliferation and cause cell cycle arrest of SH-SY5Y cells by down-regulating cyclin D1 expression. Up-regulated caspase-3 expression resulting from AZ1 gene transfection may induce apoptosis of the neuroblastoma cells.</p>
Sujet(s)
Humains , Apoptose , Caspase-3 , Métabolisme , Cycle cellulaire , Lignée cellulaire tumorale , Prolifération cellulaire , Cycline D1 , Métabolisme , Régulation négative , Vecteurs génétiques , Neuroblastome , Métabolisme , Protéines , Génétique , Transfection , Régulation positiveRÉSUMÉ
<p><b>OBJECTIVE</b>To investigate the mutation of SOX4 gene in the different tumor tissues with pathological stages and types of non-small cell lung cancer (NSCLC), and to explore its roles in the progression of lung carcinoma.</p><p><b>METHODS</b>The SOX4 gene HMG-box of lung cancer tissues and paracancerous tissues were amplified by PCR, 20 cases shown difference by single strand conformation polymorphyism analysis were sequenced. The DNA sequences were compared with normal sequences by software Clustal and DNAStar.</p><p><b>RESULTS</b>In the 90 NSCLCs, 18 cases were found with mutations of SOX4 gene and were sequenced, and there were 2 mutational points. Seven were detected from squamous cell carcinoma, five from adenocarcinoma and six from adeno-squamous. Three were obtained from tissues in stage I, five in stage II, six in stage III, and four in stage IV. The mutation rate in stage II, III and IV was significantly higher than that in stage I.</p><p><b>CONCLUSION</b>SOX4 gene mutation is not associated with pathology histological types of tumor, but it is significantly associated with pathological stages and the mutation rate increases gradually, which has relation with advanced pathological stages in NSCLC. The results indicate that the SOX4 gene mutations might be related in the lung carcinogenesis and tumor metastasis. The study also provides molecular data for study the links between the mutation of SOX gene and human oncogenesis.</p>
Sujet(s)
Adulte , Sujet âgé , Sujet âgé de 80 ans ou plus , Femelle , Humains , Mâle , Adulte d'âge moyen , Séquence d'acides aminés , Séquence nucléotidique , Carcinome pulmonaire non à petites cellules , Génétique , Anatomopathologie , Tumeurs du poumon , Génétique , Anatomopathologie , Données de séquences moléculaires , Mutation , Réaction de polymérisation en chaîne , Polymorphisme de conformation simple brin , Facteurs de transcription SOX-C , Chimie , Génétique , Analyse de séquence d'ADNRÉSUMÉ
<p><b>OBJECTIVE</b>To investigate the effect of the total saponin of Panax ginseng (TSPG) on gene expression profile of K562 cells using microarray technique.</p><p><b>METHODS</b>The total RNA were extracted and purified from K562 cells treated by 200 microg/ml TSPG for 3 days, and untreated K562 cells cultured in parallel served as the control. cRNAs were synthesized and labeled with Cy3 and Cy5 respectively. The labeled cRNA fragments were hybridized with Agilent human 1B 60 mer oligonucleotide microarray, which was then scanned to reveal the changes of gene expression profile in relation to TSPG treatment.</p><p><b>RESULTS</b>Totally 362 differentially expressed genes were identified in TSPG-treated K562 cells, including 20 up-regulated ones (consisting of metabolism-associated genes, signal transduction-associated genes and cell receptor-associated genes etc) and 342 down-regulated ones (consisting of immunity and defense-associated genes, DNA-binding and transcription genes, metabolism-associated genes and cell cycle-associated genes etc). Changes in expressions of FOSL1, E2F2, CCNE2 and ODZ1 were confirmed by semi-quantitative RT-PCR.</p><p><b>CONCLUSIONS</b>TSPG may induce changes in the gene expression profile in k562 cells possibly relevant to the anti-tumor mechanism of TSPG.</p>
Sujet(s)
Humains , Analyse de profil d'expression de gènes , Cellules K562 , Séquençage par oligonucléotides en batterie , Panax , Chimie , Saponines , PharmacologieRÉSUMÉ
<p><b>OBJECTIVE</b>To investigate the effect of microRNA on the gene expression profile of human leukemia K562 cells using microarray technique.</p><p><b>METHODS</b>miR-181a RNA duplexes were designed and synthesized according to the mature sequence of miR-181a. Forty-eight hours after transfection of in vitro cultured K562 cells using Oligofectamine, gene expression profiles of the cells were studied and analyzed using Agilent Human 1A Oligo microarray.</p><p><b>RESULTS</b>Totalling 228 differentially expressed genes were identified from the 20,173 screened genes, including 59 up-regulated ones (consisting of metabolism-associated genes, tumor suppressor genes, signal transduction-associated genes, immunity and defense-associated genes etc), and 169 down-regulated ones (consisting of oncogenes, DNA-binding and transcription genes, metabolism-associated genes, signal transduction-associated genes, cell cycle and development-associated genes etc.) in the transfected K562 cells as compared with the control K562 cells. Changes in expressions of CTCF, ZAP70, SEMA4C and RALA were confirmed by semi-quantitative reverse transcription-polymerase chain reaction.</p><p><b>CONCLUSIONS</b>miR-181a transfection for 48 h induces gene expression profile changes in K562 cells, indicating the functionality of the miR-181a. These differentially expressed genes are related to the functions of the microRNA, and may also be the basis of the regulation model of posttranscriptional gene silencing. These findings provide an evidence for further study of the machineries and functions of the microRNA in mammalian cells.</p>
Sujet(s)
Humains , Analyse de profil d'expression de gènes , Cellules K562 , microARN , Génétique , Séquençage par oligonucléotides en batterie , Petit ARN interférent , Génétique , TransfectionRÉSUMÉ
<p><b>OBJECTIVE</b>To modify the current PCR-based method for rapid and efficient preparation of small interfering RNA (siRNA) expression cassette to improve the efficiency of RNA interference.</p><p><b>METHODS</b>The U6 promoter sequence was amplified by PCR using the genomic DNA of K562 cells as the template, and cloned into pMD18-T vector which served as the template for further PCR amplification with the primers on the plasmid. The amplified product was directly used as the template for preparing siRNA expression cassette. The siRNA expression cassette targeting p53 gene was amplified, verified by sequencing, and transfected into SH-SY5Y cells. After a 48-hour transfection, the cells were harvested and the total RNA was for RT-PCR for evaluating the effect of RNA interference.</p><p><b>RESULTS</b>The sequencing result confirmed the correct U6 promoter sequence cloned from K562 cells. After transfection of SH-SY5Y cells for 48 h with siRNA expression cassette, the p53 gene expression was inhibited at the mRNA level in comparison with the control cells as demonstrated by RT-PCR detection.</p><p><b>CONCLUSION</b>The siRNA expression cassette prepared using the established method described hereby can be well applicable in RNA interference research.</p>
Sujet(s)
Humains , Extinction de l'expression des gènes , Ciblage de gène , Méthodes , Vecteurs génétiques , Génétique , Cellules K562 , Réaction de polymérisation en chaîne , Petit ARN interférent , Génétique , Petit ARN nucléaire , Protéine p53 suppresseur de tumeur , GénétiqueRÉSUMÉ
<p><b>OBJECTIVE</b>To observe the pathological changes and morphological alterations of ECV304 cells after the infection by herpes simplex virus type 2 (HSV-2) in vitro.</p><p><b>METHODS</b>Passaged ECV304 cells were infected with HSV-2, TCID50 and morphological changes were observed by optical microscopy and tissue staining.</p><p><b>RESULTS</b>One day after HSV-2 infection, swelling, rounding, and increase of thickened cytoplasmic granules occurred in the ECV304 cells, and on day 2, cell fusion was observed with weakened nuclear staining.</p><p><b>CONCLUSION</b>ECV304 cells mostly undergo necrosis after HSV-2 infection without obvious evidence of cell apoptosis.</p>
Sujet(s)
Humains , Cellules cultivées , Endothélium vasculaire , Anatomopathologie , Virologie , Infections à Herpesviridae , Anatomopathologie , Herpèsvirus humain de type 2 , Nécrose , Veines ombilicales , AnatomopathologieRÉSUMÉ
<p><b>OBJECTIVE</b>To study the effect of the S-bioallethrin on human lymphocytes by microarray technique.</p><p><b>METHODS</b>The changes of normal human lymphocytes treated with S-bioallethrin were examined with light microscope, flow cytometry, electron microscope, DNA ladder and microarray techniques.</p><p><b>RESULTS</b>Morphological study showed that the lymphocytes underwent apoptosis after S-bioallethrin exposure, which as further confirmed by the expression changes of 346 genes.</p><p><b>CONCLUSION</b>S-bioallethrin can induce apoptosis of normal human lymphocytes and changes in their gene expression profiles.</p>
Sujet(s)
Humains , Alléthrines , Pharmacologie , Apoptose , Cytométrie en flux , Analyse de profil d'expression de gènes , Insecticides , Pharmacologie , Lymphocytes , Métabolisme , Microscopie électronique , Séquençage par oligonucléotides en batterie , RT-PCRRÉSUMÉ
<p><b>OBJECTIVE</b>To investigate the mechanisms for the cytopathic effect (CPE) of human cytomegalovirus (HCMV) in ECV304 endothelial-like cells.</p><p><b>METHODS</b>PCR and indirect immunofluorescence were used to detect HCMV infection by examining immediate-early (IE) gene and protein expression of the virus in ECV304 cells. Phase-contrast and electron microscopies were performed to observe the morphological changes of the infected and uninfected cells, and DNA ladder analysis and flow cytometry were carried out to study HCMV-induced cell apoptosis.</p><p><b>RESULTS</b>In HCMV-infected ECV304 cells, cytopathic effects were first observed at approximately 72 h post-infection. The cells with CPE changes exhibited detachment from the monolayer, cell rounding and shrinkage. The expression of the IE gene was detected. Chromatin condensation and nuclear fragmentation along with dramatic changes of the mitochondria were observed by electron microscopy at 96 h post-infection. Cellular DNA fragmentation was observed in the infected cells, which had cells apoptotic rates of 4.1% and 45.7% at 96 h and 144 h post-infection, respectively.</p><p><b>CONCLUSION</b>HCMV can induce apoptosis of ECV304 endothelial-like cells.</p>