Analysis of gene expression profiles in pancreatic carcinoma by using cDNA microarray

OBJECTIVES: To survey the gene expression profiles in pancreatic carcinoma by using cDNA microarray and detect target genes for further study. METHODS: Three mixed samples from 2 cases of normal pancreatic tissue and 4 cases of moderate-differentiated pancreatic carcinoma were studied by means of cDNA microarray consisting of 18 000 genes. RESULTS: 1484 and 1353 different expressed genes were observed in two cancer samples respectively. We identified 455 genes altered with the same tendency in both samples, including 102 up-regulated and 353 down-regulated genes. There were 274 known genes and 181 unknown genes; 27.8% and 52.0% genes respectively had an expression level in cancer that was 2-fold higher or lower than that in normal samples. Tumor suppressor genes, growth factors and receptor genes, signal conduction genes, transcription factor genes were identified. CONCLUSIONS: cDNA microarray is an efficient and high-throughout method to investigate gene expression profiles in pancreatic carcinoma. MBD1, EDG1 and gene hypermethylation mechanism would play an important role in the pathogenesis of pancreatic carcinoma.

Differential Gene Expression Profiles in Acute Hepatic Failure Model in Mice Infected with MHV-3 Virus Intervened by Anti-hepatic Failure Compound

Differential gene expression profiles in Balb/cJ mouse model of acute hepatic failure infected with MHV-3 virus intervened by anti-hepatic failure compound （AHFC） and the changes of cytokines regulated by genes were investigated. The Balb/cj mice were divided into AHFC-intervened group and control group randomly. Acute hepatic failure model of Balb/cJ mice infected with MHV-3 virus was established. The survival rate in the two groups was observed. It was found that the survival rate in the AHFC-intervened group and control group was 90% and 50% respectively 48 h after intraperitoneal injection of MHV-3 （P〈0.05）. Before and after the experiment, the cytokines in peripheral blood of the survival mice were determined, and RNA was extracted from survival mouse liver tissue for the analysis of the differential gene expression by a 36 kb mouse oligonuleotide DNA array. In all the genes of microarray there were 332 genes expressed differently in the two groups, in which 234 genes were up-regulated and 78 genes down-regulated. Through clustering analysis, the differential expression of immune related genes, including TNF receptor superfamily, Kctd9, Bcl-2, Fgl2, IL-8, IL-6, IFN-7, TNF-α etc. might be related with the curative effectiveness of AHFC. It was suggested that AHFC can balance the immune state of mouse model of acute hepatic failure infected with MHV-3 virus mainly through regulating the expression of immune related genes, decrease the immune damage and inhibit liver cell apoptosis of mouse acute hepatic failure model obviously so as to increase the survival rate of mouse models of acute hepatic failure.

Immune Responses to Trichloroethylene and Skin Gene Expression Profiles in Sprague Dawley Rats

Objective To characterize the immune reaction in SD rats exposed to trichloroethylene （TCE） and to identify the gene expression profiles involved in skin after TCE exposure. Methods Fifteen percent of TCE was injected intradermally into the rat back （100 μL/120 g） at intervals of 7 days. Whole blood was collected 24 h after the fifth or seventh intradermic administration of TCE. The percentages of CD4＋ and CD8＋ of T lymphocytes were measured by a flow cytometer. The concentrations of IFN-gamma and 1L-4 in the serum were semi-quantified by ELISA. Total RNAs of skin samples at 3 h or 24 h after the seventh dose of TCE in SD rats were extracted, and gene expression proftles of these tissues were analyszed by rat toxicology U34 array of Affymetrix. Results Obvious decline of CD4＋ in T lymphocytes was observed in the TCE-administer group. No significant concentration differences in IFN-gamma and IL-4 were found between TCE-treated and control rats. Gadd45a and Mel were significantly up regulated in skin tissue 24 h after TCE exposure. The expression regulation of immune response factors was as active as proteins associated with lipid metabolism and synthesis process in these skin samples of SD rats exposed to TCE. Conclusion T-helper type 1 cells mediate immune response can not be elicited in TCE-treated SD rats, but certain immune disorder can be induced.

Difference of Gene Expression Profiles between Barrett’s Esophagus and Cardia Intestinal Metaplasia by Gene Chip

The difference of gene expression profile changes in Barrett＇s esophagus （BE） and cardia intestinal metaplasia （CIM） epithelium was studied and the novel associated genes were screened in the early stage by cDNA microarray. The cDNA retro-transcribed from equal quantity mRNA from BE and CIM epithelial tissues were labeled with Cy3 and Cy5 fluorescence as probes. The mixed probe was hybridized with three pieces BiostarH-40s double dot human whole gene chip. The chips were scanned with a ScanArray 4000. The acquired images were analyzed using GenePix Pro 3.0 software. It was found a total of 141 genes were screened out that exhibited differentially expression more than 2 times in all three chips. It was identified that in gene expression profiles of BE, 74 genes were up-regulated and 67 down-regulated as compared with CIM. The comparison between the difference of gene expression profile changes in BE and CIM epithelia revealed that there existed the difference between BE and CIM at gene level. 141 genes with the expression more than two time were probably related to the occurrence and development of BE and the promotion or progress in adenocarcinoma.

Effect of Chuanzhifang component (ZGC) on macrophage inflammatory injury based on whole gene expression profile

Objective: The effect of Chuanzhi Fang (ZGC) on the whole genome expression profile of RAW264.7 cells activated by lipopolysaccharide (LPS) was analyzed, and to explore the possible mechanism of action and core target of this formula on macrophage inflammatory injury at the overall level. Methods: A model of LPS-induced inflammation in RAW264.7 cells was constructed, and the effect of ZGC intervention on the genome-wide expression of inflammatory macrophages 3was examined by gene microarray technology, GO/KEGG enrichment analysis was performed for significantly differentially expressed genes among each group. Results: The results of genome-wide expression profiling microarray analysis showed that the ZGC intervention group upregulated the expression of 5 genes including C4bp and inhibited the expression of 22 genes including Mgat3, Psma6, and Siglecg relative to the LPS model group. KEGG signaling pathway analysis results showed that ZGC mainly acted through cytokine receptor interaction and the C-type lectin receptor signaling pathway. Conclusion: ZGC can interfere with the abnormal expression of 27 genes in inflammatory macrophages, and the related genes may exert corresponding anti-inflammatory effects by affecting cytokine receptor interactions, C-type lectin receptor signaling pathway, and TLR4/ NF-κB signaling pathway.

Gene expression profiles in intracranial aneurysms

In this study, we extracted total RNA from 15 intracranial aneurysms and 17 superficial temporal artery samples, then performed genome-wide expression profiling using the Affymetrix U133 Plus 2.0 GeneChip. Genes that were differentially expressed between intracranial aneurysms and arterial samples were identified using significance analysis for microarrays, and the expression patterns of three randomly-selected genes were verified by real-time polymerase chain reaction analysis. We identified 3 736 differentially-expressed genes out of the 47 000 assayed transcripts. A total of 179 genes showed a 〉10-fold change in expression between the aneurysms and the arterial samples. Genes involved in the proliferation, migration, and apoptosis of vascular muscle cells, atherosclerosis, extracellular matrix disruption, and inflammatory reactions were associated with the formation of intracranial aneurysms. There were no significant differences in gene expression profile between unruptured and ruptured aneurysms.

cDNA macroarray for analysis of gene expression profiles in prostate cancer

Background Early diagnosis and timely treatment are important for improving therapeutic efficiency of prostate cancer. DNA array is a new bio-technology for disease diagnosis. This study was conducted to diagnose prostate cancer with cDNA macroarray and analysis gene expression profiles of some selective genes in prostate cancer. Methods Total RNA was isolated from patients with prostate cancer and from normal people, and poly（A） RNA was further purified. Then it was analyzed for differentially expressed genes in prostate cancer and normal prostate by cDNA macroarray system. Results There were different expressions in the nine prostate-associated specific genes in prostate cancer as compared with normal prostate, in which, 7 were significantly upregulated and 2 were down-regulated. Conclusion As a diagnostic approach at molecular level, the cDNA macroarray is an effectively diagnostic method for orostate cancer.

Differential Gene Expression Profiles in Coronary Heart Disease Patients of Blood Stasis Syndrome in Traditional Chinese Medicine and Clinical Role of Target Gene

Objective:To investigate the differential gene expression profiles in coronary heart disease(CHD) patients of blood-stasis syndrome(BSS) by oligonucleotide microarray technique,and the clinical significance of target gene.Methods:Subjects were assigned to CHD patients with BSS(n=8),CHD patients without BSS (n=8),and BSS patients without CHD(n=8) based on coronary angiography and the diagnostic criteria of BSS. The sex- and age-matched healthy volunteers(n=8) were enrolled as the control group.Venous blood s...

Correlation between cold and hot pattern in traditional Chinese medicine and gene expression profiles in rheumatoid arthritis

Clinical manifestations of rheumatoid arthritis(RA)are diversified,and based on the manifestations,the patients with RA could be classified into different patterns under traditional Chinese medicine.These patterns decide the selection of herbal prescription,and thus they can help find a subset of rheumatoid arthritis patients for a type of therapy.In the present study,we combine genome-wide expression analysis with methods of systems biology to identify the functional gene networks for the sets of clinical symptoms that comprise the major information for pattern classification.Clinical manifestations in rheumatoid arthritis were clustered with factor analysis,and two factors(similar to cold and hot patterns in traditional Chinese medicine)were found.Microarray technology was used to reveal gene expression profiles in CD4^(+)T cells from 21 rheumatoid arthritis patients.Protein-protein interaction information for these genes from databases and literature data was searched.The highly-connected regions were detected to infer significant complexes or pathways in this protein-protein interaction network.The significant pathways and function were extracted from these subnetworks using the Biological Network Gene Ontology tool.The genes significantly related to hot and cold patterns were identified by correlations analysis.MAPK signalling pathway,Wnt signaling pathway,and insulin signaling pathway were found to be related to hot pattern.Purine metabolism was related to both hot and cold patterns.Alanine,aspartate,and tyrosine metabolism were related to cold pattern,and histindine metabolism and lysine degradation were related to hot pattern.The results suggest that cold and hot patterns in traditional Chinese medicine were related to different pathways,and the network analysis might be used for identifying the pattern classification in other diseases.

Effect of Tiantai No.1(天泰1号)on Gene Expression Profiles in Hippocampus of Alzheimer's Disease Rats by Bioinformatic Analysis

Objective： To study the effect of Tiantai No. 1 （天泰1号） on gene expression profile in hippocampus of Alzheimer＇s disease （AD） rat, molecular genetic target points of the effect of this drug were defined, its molecular genetic pharmacodynamic mechanism of anti-AD was further explored at molecular gene level, and a scientific basis was provided for its clinical availability and promotion. Methods： Thirty male Sprague- Dawley rats were divided into three groups with 10 rats per group： sham-operation group, model group and Tiantai No. 1 group. Sterile surgical procedure was applied, the model group with bilateral hippocampal injection of Aβ21-40 was established, and normal saline was used instead of Aβ1-40 in the sham-operation group. One week after the models was made, rats were administered by gastric lavage once every day for three consecutive weeks. The rats of the sham-operation group and the model group were daily fed with purified water by lavage; the rats of the Tiantai No.1 group treated group were administered with Tiantai No.1 by lavage. Total RNAs of hippocampus tissues were extracted with Trizol, the changes of hippocampus gene expression profiles in the above throe groups were analyzed by using Affymetrix rat whole genome expression profile microarray. Results： Microarray analysis showed that, compared with the sham-operation group, the hippocampus of the model group had 50 up-regulated genes with significant difference （fold change 〉2）, and 21 down-rogulated genes with significant difference （fold change 〈0.5）; compared with the hippocampus of the model group, the hippocampus of the Tiantai No. 1 group was found to have 5 up-regulated genes with significant difference （fold change 〉2） and 20 down-regulated genes with significant difference （fold change 〈0.5）. The functions of differonUally expressed genes of the groups were involved in nervous system＇s development, neuronic differentiation and function-regulation, cellular growth and differentiation and apoptosis, synaptic occurrence and plasticity, inflammation and immune response, ion channels/transporters, cellular signal transduction, cellular material/energy metabolism and so on. Conclusion： Tiantai No. 1 can regulate hippocampal function, and further regulate the brain function of animals in multiple gene target points by a number of ways.

Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA-Seq approach

Background:Aspergillus fumigatus(Af)is one of the most ubiquitous fungi and its infection potency is suggested to be strongly controlled by the host genetic back-ground.The aim of this study was to search for candidate genes associated with host susceptibility to Aspergillus fumigatus(Af)using an RNAseq approach in CC lines and hepatic gene expression.Methods:We studied 31 male mice from 25 CC lines at 8 weeks old;the mice were infected with Af.Liver tissues were extracted from these mice 5 days post-infection,and next-generation RNA-sequencing(RNAseq)was performed.The GENE-E analysis platform was used to generate a clustered heat map matrix.Results:Significant variation in body weight changes between CC lines was ob-served.Hepatic gene expression revealed 12 top prioritized candidate genes differ-entially expressed in resistant versus susceptible mice based on body weight changes.Interestingly,three candidate genes are located within genomic intervals of the previ-ously mapped quantitative trait loci(QTL),including Gm16270 and Stox1 on chromo-some 10 and Gm11033 on chromosome 8.Conclusions:Our findings emphasize the CC mouse model's power in fine mapping the genetic components underlying susceptibility towards Af.As a next step,eQTL analysis will be performed for our RNA-Seq data.Suggested candidate genes from our study will be further assessed with a human cohort with aspergillosis.

Gene signatures to therapeutics:Assessing the potential of ivermectin against t(4;14)multiple myeloma

BACKGROUND Multiple myeloma(MM)is a terminal differentiated B-cell tumor disease characterized by clonal proliferation of malignant plasma cells and excessive levels of monoclonal immunoglobulins in the bone marrow.The translocation,(t)(4;14),results in high-risk MM with limited treatment alternatives.Thus,there is an urgent need for identification and validation of potential treatments for this MM subtype.Microarray data and sequencing information from public databases could offer opportunities for the discovery of new diagnostic or therapeutic targets.AIM To elucidate the molecular basis and search for potential effective drugs of t(4;14)MM subtype by employing a comprehensive approach.METHODS The transcriptional signature of t(4;14)MM was sourced from the Gene Expression Omnibus.Two datasets,GSE16558 and GSE116294,which included 17 and 15 t(4;14)MM bone marrow samples,and five and four normal bone marrow samples,respectively.After the differentially expressed genes were identified,the Cytohubba tool was used to screen for hub genes.Then,the hub genes were analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis.Using the STRING database and Cytoscape,protein–protein interaction networks and core targets were identified.Potential small-molecule drugs were identified and validated using the Connectivity Map database and molecular docking analysis,respectively.RESULTS In this study,a total of 258 differentially expressed genes with enriched functions in cancer pathways,namely cytokine receptor interactions,nuclear factor(NF)-κB signaling pathway,lipid metabolism,atherosclerosis,and Hippo signaling pathway,were identified.Ten hub genes(cd45,vcam1,ccl3,cd56,app,cd48,btk,ccr2,cybb,and cxcl12)were identified.Nine drugs,including ivermectin,deforolimus,and isoliquiritigenin,were predicted by the Connectivity Map database to have potential therapeutic effects on t(4;14)MM.In molecular docking,ivermectin showed strong binding affinity to all 10 identified targets,especially cd45 and cybb.Ivermectin inhibited t(4;14)MM cell growth via the NF-κB pathway and induced MM cell apoptosis in vitro.Furthermore,ivermectin increased reactive oxygen species accumulation and altered the mitochondrial membrane potential in t(4;14)MM cells.CONCLUSION Collectively,the findings offer valuable molecular insights for biomarker validation and potential drug development in t(4;14)MM diagnosis and treatment,with ivermectin emerging as a potential therapeutic alternative.

Mining Gene Expression Profiles:An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decomposition

The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualization tools are used to identify genes with similar profiles in microarray studies. Given the large number of genes recorded in microarray experiments, gene expression data are generally displayed on a low dimensional plot, based on linear methods. However, microarray data show nonlinearity, due to high-order terms of interaction between genes, so alternative approaches, such as kernel methods, may be more appropriate. We introduce a technique that combines kernel principal component analysis （KPCA） and Biplot to visualize gene expression profiles. Our approach relies on the singular value decomposition of the input matrix and incorporates an additional step that involves KPCA. The main properties of our method are the extraction of nonlinear features and the preservation of the input variables （genes） in the output display. We apply this algorithm to colon tumor, leukemia and lymphoma datasets. Our approach reveals the underlying structure of the gene expression profiles and provides a more intuitive understanding of the gene and sample association.

GENE EXPRESSION PROFILING OF HUMAN PROMYELOCYTIC LEUKEMIA HL-60 CELL TREATED BY AJOENE

Objective: Ajoene, a major compound extracted from crashed garlic, has been shown to have antitumor, antimycotic, antimicrobial, antimutagenic functions in vivo or in vitro and treated as a potential antitumor drug. However, the molecular mechanisms underlying the tumor cytotoxicity of ajoene and even garlic substances are poorly defined. In the present study, we aimed to generate gene expression profiles of HL-60 cell treated by ajoene. Methods: A cDNA microarray presenting 2400 of genes amplified from human leukocyte cDNA library was constructed and the gene expression profiles of HL-60 cell induced by ajoene were generated. Results: After data analysis, 28 differentially expressed genes were identified and sequenced. These genes include 21 known genes and 7 ESTs. Most of the known genes are related to cell apoptosis, such as secretory granule (PRG1), beta-2 microglobulin (B2M), 16S ribosomal RNA gene and ribosomal protein S12. Several genes are related to cell differentiation, including the genes similar to H3 histone and ribosomal protein L31. Northern blot analysis was used to verify and quantify the expression of selected genes. Conclusion: Ajoene can induce HL-60 cell apoptosis significantly and may play a role in differentiation. cDNA microarray technology can be a valuable tool to gain insight into molecular events of pharmacological mechanism of herbal medicine.

Gene expression profile analysis reveals the effect of metformin treatment on HepG2 cells

Metformin is a first-line drug in the fight against type 2 diabetes.In recent years,studies have shown that metformin has some preventive and therapeutic effects on liver cancer,but the effects of metformin on the gene expression of liver cancer cells are not fully known.This study focused on the differences in the gene expression profiles in liver cancer cells treated with or without metformin.A total of 153 differentially expressed genes(DEGs)(FC>2 and q-values<0.001)were found,including 77 upregulated genes and 76 downregulated genes.These DEGs are involved in mitogen-activated protein kinase(MAPK),nuclear factor-kappa B(NF-κB),cell adhesion molecules(CAMs),and leukocyte transendothelial migration signaling pathways.These findings reveal the effects of metformin treatment on gene expression profiles in liver cancer cells and provide new clues for unveiling the mechanism of the antitumor effects of metformin.

Methotrexate combined with methylprednisolone for the recovery of motor function and differential gene expression in rats with spinal cord injury

Methylprednisolone is a commonly used drug for the treatment of spinal cord injury, but high doses of methylprednisolone can increase the incidence of infectious diseases. Methotrexate has anti-inflammatory activity and immunosuppressive effects, and can reduce in- flammation after spinal cord injury. To analyze gene expression changes and the molecular mechanism of methotrexate combined with methylprednisolone in the treatment of spinal cord injury, a rat model of spinal cord contusion was prepared using the PinPointTM preci- sion cortical impactor technique. Rats were injected with methylprednisolone 30 mg/kg 30 minutes after injury, and then subcutaneously injected with 0.3 mg/kg methotrexate 1 day after injury, once a day, for 2 weeks. TreadScan gait analysis found that at 4 and 8 weeks after injury, methotrexate combined with methylprednisolone significantly improved hind limb swing time, stride time, minimum longitudinal deviation, instant speed, footprint area and regularity index. Solexa high-throughput sequencing was used to analyze differential gene ex- pression. Compared with methylprednisolone alone, differential expression of 316 genes was detected in injured spinal cord treated with methotrexate and methylprednisolone. The 275 up-regulated genes were mainly related to nerve recovery, anti-oxidative, anti-inflammatory and anti-apoptotic functions, while 41 down-regulated genes were mainly related to proinflammatory and pro-apoptotic functions. These results indicate that methotrexate combined with methylprednisolone exhibited better effects on inhibiting the activity of inflammatory cytokines and enhancing antioxidant and anti-apoptotic effects and thereby produced stronger neuroprotective effects than methotrexate alone. The 316 differentially expressed genes play an important role in the above processes.

Genome-wide identification,phylogeny and expression analysis of the SBP-box gene family in maize(Zea mays)

The SQUAMOSA promoter binding protein （SBP）-box genes encode a kind of plant-specific transcription factors （TFs） and play important roles in the regulation of plant development. In this study, a genome-wide characterization of this family was conducted in maize （Zea mays）. Thirty-one SBP-box genes were identified to be distributed in nine chromosomes and 16 of them were complementary to the mature ZmmiR156 sequences. All the Z. mays SBP （ZmSBP） genes were classified into two clusters with eight subgroups according to the phylogenetic analysis of proteins, which were consistent with the pattern of exon-intron structures. The phylogenetic tree of the ZmSBP, Oryza sativa SBP-like （OsSPL） and Arabidopsis thaliana SBP-like （AtSPL） genes were constructed and all the SBP-box genes were divided into eight groups, which was the same as the classification of ZmSBP genes. The comparision of the expression profiles of all SBP-box genes in these three species indicated that most orthologous genes had similar expression patterns. The results from this study provided a basic understanding of the ZmSBP genes and might facilitate future researches for elucidating the SBP-box genes function in maize.

Characterization of the 19 Novel Cotton FLA Genes and Their Expression Profiling in Fiber Development and in Response to Phytohormones and Salt Stress

Fasciclin-like arabinogalactan proteins(FLAs),a subclass of arabinogalactan proteins(AGPs),are usually involved in cell development in plants.To investigate the expression profiling as well

Comprehensive genomic analysis and expression profiling of cysteine-rich polycomb-like transcription factor gene family in tea tree

Cysteine-rich polycomb-like(CPP)is a small gene family in plants,which plays key role in plant development and stress response.Although CPP transcription factors have been characterized in several other plant species,a genome-wide characterization of the CPP gene family has been absent in Camellia sinensis.In this study,we totally identified 7,8,and 8 non-redundant CsCPP genes in three published genomes,including Camellia sinensis var.assamica cv.Yunkang-10(CSA-YK10),Camellia sinensis var.sinensis cv.Biyun(CSS-BY)and Camellia sinensis var.sinensis cv.Shuchazao(CSS-SCZ).CPP proteins from tea tree and other plant species were classified into three groups,which were further divided into four subgroups based on phylogenetic relationships.Most CPP genes in the same subgroup had similar gene structures and conserved motifs.The cis-acting elements analysis indicated that CPP genes might be involved in plant growth,development and stress responses.Analysis of gene expression using qRT-PCR experiments validated that CPP genes exhibited different expression patterns across the examined tissues.All the genes were expressed differentially in a range of tissues,indicating that CPPs were involved in a range of developmental and physiological processes.This study has obtained new insights into the evolution and function of the CPP gene family in the growth and development of tea plants,and also provide candidate genes for further functional characterization in tea tree.

Analysis of hippocampal gene expression profile of Alzheimer's disease model rats using genome chip bioinformatics

In this study, an Alzheimer＇s disease model was established in rats through stereotactic injection of condensed amyloid beta 1-40 into the bilateral hippocampus, and the changes of gene expression profile in the hippocampus of rat models and sham-operated rats were compared by genome expression profiling analysis. Results showed that the expression of 50 genes was significantly up-regulated （fold change 〉 2）, while 21 genes were significantly down-regulated in the hippocampus of Alzheimer＇s disease model rats （fold change 〈 0.5） compared with the sham-operation group. The differentially expressed genes are involved in many functions, such as brain nerve system development, neuronal differentiation and functional regulation, cellular growth, differentiation and apoptosis, synaptogenesis and plasticity, inflammatory and immune responses, ion channels/transporters, signal transduction, cell material/energy metabolism. Our findings indicate that several genes were abnormally expressed in the metabolic and signal transduction pathways in the hippocampus of amyloid beta 1 40-induced rat model of Alzheimer＇s disease, thereby affecting the hippocampal and brain functions.