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Hunting drug targets by systems-level modeling of gene expression profiles.

Structural learning of Bayesian networks applied to sets of genome-wide expression patterns has been recently discovered as a potentially useful tool for the systems-level statistical description of gene interactions. We train and analyze Bayesian networks with the goal of inferring biological aspects of gene function. Our two-component approach focuses on supporting the drug discovery process by identifying genes with central roles for the network operation, which could act as drug targets. The first component, referred to as scale-free analysis, uses topological measures of the network-related to a high-traffic load of genes-as estimators for their functional importance. The second component, referred to as generative inverse modeling, is a method of estimating the effect of a simulated drug treatment or mutation on the global state of the network, as measured in the expression profile. We show for a dataset from acute lymphoblastic leukemia patients that both approaches are suitable for finding genes with central cellular functions. In addition, generative inverse modeling correctly identifies a known oncogene in a purely data-driven way.

Algorithms↗

Monitoring human radiation exposure by gene expression profiling: possibilities and pitfalls.

Advances in high throughput analysis of mRNA expression have made it possible to establish gene expression profiles for different cells, tissues, diseases and exposure states. For instance, recent studies have demonstrated the utility of such an approach to classify sub-types of cancers with more detail than was previously possible. In addition, gene expression studies of ionizing radiation exposure both in vitro and in vivo are affording insight into the molecular mechanisms of mammalian radiation response. We have demonstrated that radiation expression profiles are a good predictor of p53 function in cell lines, and such profiles also indicate a major role for p53-regulated genes in the in vivo radiation response. Gene expression can be a sensitive indicator of radiation response as we have shown linear dose-responses for induction of several genes down to doses as low as 2 cGy. As profiles are established from radiation studies, it is hoped that they may be useful for identifying individuals with specific exposures or predisposition to negative outcome of exposure. Although this technology holds great promise, some obstacles remain to be overcome before it can be successfully applied to population studies.

Cyclin-Dependent Kinase Inhibitor p21↗

[Exploration of gene expression profiles of CD(34)(+) hematopoietic stem/progenitor cells based on large scale sequencing].

OBJECTIVE: To set up a large scale sequencing system and explore the gene expression profiles of CD(34)(+) hematopoietic stem/progenitor cells (HSPCs). METHODS: CD(34)(+) cells were isolated from umbilical cord blood and subjected to cDNA library construction. A primary profile of gene expression in HSPCs was emerged by EST sequencing and bioinformatics analyzing. RESULTS: Among 9,866 ESTs thus obtained, 7 476 meaningful ESTs were clustered into 2,060 unique sequence species (USSs), representing 1,054 known gene species and 1,006 unknown gene fragments. The 1054 known genes were divided into 8 categories: (1) hematopoiesis associated: 73, (2) chromatin structure and cell division/apoptosis: 91, (3) signal transduction and receptors: 111, (4) cell structure/mobility: 48, (5) cell/organism defense/homeostasis: 41; (6) Gene expression (transcription, translation and modification): 265, (7) metabolism: 192; and (8) unclassified: 233. CONCLUSION: A gene expression profile including 1,054 known genes and 1006 new gene fragments of HSPCs was primarily obtained, which may lay a basis for the further study on the molecular mechanism of hematopoiesis regulation and provide candidates for new gene cloning.

Antigens, CD34↗

Gene expression profiles associated with response to chemotherapy in epithelial ovarian cancers.

PURPOSE: The goal of this study was to determine whether distinct gene expression profiles are associated with intrinsic and/or acquired chemoresistance in epithelial ovarian carcinoma. EXPERIMENTAL DESIGN: Gene expression profiles were generated from 21 primary chemosensitive tumors and 24 primary chemo-resistant tumors using cDNA-based microarrays. Gene expression profiles of both groups of primary tumors were then compared with those of 15 ovarian carcinomas obtained following platinum-based chemotherapy ("post-chemotherapy" tumors). A theme discovery tool was used to identify functional categories of genes involved in drug resistance. RESULTS: Comparison of primary chemosensitive and chemo-resistant tumors revealed differential expression of 85 genes (P < 0.001). Comparison of gene expression profiles of primary chemosensitive tumors and post-chemotherapy tumors revealed more robust differences with 760 genes differentiating the two groups (P < 0.001). In contrast, only 230 genes were differentially expressed between primary chemo-resistant and post-chemotherapy groups (P < 0.001). Common to both gene lists were 178 genes representing transcripts differentially expressed between post-chemotherapy tumors and all primary tumors irrespective of intrinsic chemosensitivity. The gene expression profile of post-chemotherapy tumors compared with that of primary tumors revealed statistically significant overrepresentation of genes encoding extracellular matrix-related proteins. CONCLUSIONS: These data show that gene expression profiling can discriminate primary chemo-resistant from primary chemosensitive ovarian cancers. Gene expression profiles were also identified that correlate with states of intrinsic and acquired chemoresistance and that represent targets for future investigation and potential therapeutic interventions.

Adult↗

Identification of gene expression profile of dorsal root ganglion in the rat peripheral axotomy model of neuropathic pain.

Phenotypic modification of dorsal root ganglion (DRG) neurons represents an important mechanism underlying neuropathic pain. However, the nerve injury-induced molecular changes are not fully identified. To determine the molecular alterations in a broader way, we have carried out cDNA array on the genes mainly made from the cDNA libraries of lumbar DRGs of normal rats and of rats 14 days after peripheral axotomy. Of the 7,523 examined genes and expressed sequence tags (ESTs), the expression of 122 genes and 51 expressed sequence tags is strongly changed. These genes encompass a large number of members of distinct families, including neuropeptides, receptors, ion channels, signal transduction molecules, synaptic vesicle proteins, and others. Of particular interest is the up-regulation of gamma-aminobutyric acid(A) receptor alpha5 subunit, peripheral benzodiazepine receptor, nicotinic acetylcholine receptor alpha7 subunit, P2Y1 purinoceptor, Na(+) channel beta2 subunit, and L-type Ca(2+) channel alpha2delta-1 subunit. Our findings therefore reveal dynamic and complex changes in molecular diversity among DRG neurons after axotomy. Sequences reported in this paper have been deposited in the GenBank database (accession numbers BG 662484-BG 673712)

Animals↗

cDNA microarray analysis of the gene expression profile of VEGF-activated human umbilical vein endothelial cells.

Vascular endothelial growth factor (VEGF) is one of the most important factors that stimulate angiogenesis and vascular permeability. To clarify the role of VEGF, we analysed a human cDNA chip containing 7267 human genes to identify genes induced by VEGF in human umbilical vein endothelial cells (HUVECs). One hundred thirty-nine cDNAs, including ninety-nine previously known and forty poorly characterized or novel sequences, were increased more than two-fold by VEGF within twenty-four hours of stimulation. Among them, only five are known to regulate angiogenesis: cyclooxygenase 2 (COX2), heparin-binding epidermal growth factor-like growth factor, early growth response 1 (EGR 1), CYR61, and angiopoietin 2. Fifty-three genes induced within the first two hours were thought to be directly induced by VEGF. Of these, Down syndrome candidate region 1 (maximum induction = 6.1-fold) was the most profoundly induced, followed by Mifl (KIAA0025; 5.5-fold), COX2 (4.7-fold), EGR 3 (3.7-fold), EGR 2 (3.2-fold), bactericidal/permeability-increasing protein (3.1-fold), and CD1B antigen, b polypeptide (3.1-fold). In addition to the genes mentioned above, there were many poorly characterized or novel genes induced by VEGF. Further analysis of these genes may aid in the elucidation of the molecular mechanisms of angiogenesis or vascular permeability stimulated by VEGF.

Base Sequence↗

Direct comparison of microarray gene expression profiles between non-amplification and a modified cDNA amplification procedure applicable for needle biopsy tissues.

Global gene expression profiling by cDNA microarray analysis has been used to discover the biomarkers for early diagnosis of various cancers, subclassing cancer type, and prediction of patient's treatment outcome. The information provided by gene expression profiling may contribute to the design of molecular mechanism-based strategies for cancer prevention and/or treatment. However, the standard procedure for cDNA microarray analysis requires 5mug of good quality total RNA as starting material for each target preparation reaction. Thus, there is a limit for needle biopsy samples, laser capture microdissected tissues, or flow-sorted cells to successfully utilize the microarray technology. In order to profile the gene expression of needle biopsy tissue, we have modified the standard protocol by carrying out cDNA amplification after cDNA synthesis. We compared percentage present calls, absent calls, reproducibility, and concordance in needle biopsy samples processed by standard microarray protocol (cDNA non-amplification method) and our modified protocol (cDNA amplification method). The results showed that cDNA amplification method provided high reproducibility, representation, and concordance with the standard cDNA non-amplification method. We have successfully analyzed the gene expression profiles of needle biopsy tissues using the modified method without significantly changing the expression profiles. These results suggest that the global gene expression profiles of small biopsy samples can be achieved by our modified method to facilitate the analysis of gene expression profiles for clinical application.

Biopsy, Needle↗

Effects of U0126 and fibroblast growth factor on gene expression profile in Ciona intestinalis embryos as revealed by microarray analysis.

Fibroblast growth factor (FGF) induces the notochord and mesenchyme in ascidian embryos, via extracellular signal-regulated kinase (ERK) that belongs to the mitogen-activated protein kinase (MAPK) family. A cDNA microarray analysis was carried out to identify genes affected by an inhibitor of MAPK/ERK kinase (MEK), U0126, in embryos of the ascidian Ciona intestinalis. Data obtained from the microarray and in situ hybridization suggest that the majority of genes are downregulated by U0126 treatment. Genes that were downregulated in U0126-treated embryos included Ci-Bra and Ci-Twist-like1 that are master regulatory genes of notochord and mesenchyme differentiation, respectively. The plasminogen mRNA was downregulated by U0126 in presumptive endoderm cells. This suggests that a MEK-mediated extracellular signal is necessary for gene expression in tissues whose specification does not depend on cell-to-cell interaction. Among 85 cDNA clusters that were not affected by U0126, 30 showed mitochondria-like mRNA localization in the nerve cord/muscle lineage blastomeres in the equatorial region. The expression level and asymmetric distribution of these mRNA were independent of MEK signaling.

Animals↗

Gene expression profiling of lymph node metastasis by oligomicroarray analysis using laser microdissection in esophageal squamous cell carcinoma.

We applied oligomicroarray analysis of 17086 genes to identify the genes related to lymph node metastasis in esophageal squamous cell carcinoma (ESCC). The samples of cancer and non-cancerous paired tissue were taken from 16 patients with ESCC who underwent esophagectomy with lymph node dissection. Total ribonucleic acid was extracted from the cancer cells obtained by using laser microdissection and was amplified by T7 based-amplification for the application to the oligomicroarray. The oligomicroarray demonstrated 43 overexpressed genes, such as cell-cycle regulators, cell adhesion related genes, anti-apoptosis related genes, and 138 suppressed genes such as cell differentiation related and apoptosis related genes in ESCC cells with lymph node metastasis. Among them, 5 overexpressed genes (SPP-1, CKS2, CCT5, STMN1, NDUFB9) and one suppressed expression gene (GJB2) were selected in the gene profiles, and then the expressions of those genes were confirmed by real-time semi-quantitative reverse transcriptional polymerase chain reaction (RT-PCR) method for confirmation of the result not only in study cases but also in additional 21 cases. The gene expression by real-time semi-quantitative RT-PCR was in accordance with the microarray data. Although we were able to extract some genes related to nodal metastasis in ESCC, further examination is necessary in other genes as well as the interaction of stromal tissues.

Aged↗

cDNA gene expression profile homology of antioxidants and their antiapoptotic and proapoptotic activities in human neuroblastoma cells.

Antioxidants have concentration-dependent neuroprotective and proapoptotic activities in models of Parkinson's disease. The aim of our study was to determine gene-protein pathways of the antioxidants, dopamine (DA), R-apomorphine (R-APO), melatonin, and green tea polyphenol (-)-epigallocatechin-3-gallate (EGCG), in neuroblastoma cells, using a customized cDNA microarray and quantitative reverse transcriptase-polymerase chain reaction gene expression techniques. We demonstrate a concentration-dependent correlation between these compounds and modulation of cell survival/cell death-related gene pathways. High toxic concentration of DA (500 microM), R-APO (50 microM), melatonin (50 microM), and EGCG (50 microM) exhibited a similar profile of proapoptotic gene expression, increasing the level of bax, caspase-6, fas ligand, and the cell-cycle inhibitor gadd45 genes, while decreasing antiapoptotic bcl-2 and bcl-xL. Conversely, the low neuroprotective concentrations (1-10 microM) of these compounds induced an antiapoptotic response. Melatonin displayed an extremely low index of mortality, which may be partially explained by the observation that a high concentration did not significantly affect the expression of mitochondrial Bcl-2 family members, bcl-2 and bax. Protein analysis of Bcl-2, Bax, and activated caspase-3 correlated with the gene expression pattern. Our results provide for the first time new insights into the molecular events involved in the dose-dependent neuroprotective and neurotoxic activities of catechols and indole amine compounds.

Antioxidants↗

Gene expression profiling of favorable histology Wilms tumors and its correlation with clinical features.

The aims of this study were to understand the underlying molecular mechanisms of favorable histology Wilms tumors (WTs) and to classify them based on their molecular signatures. We studied a total of 15 favorable histology WTs using microarrays containing 19,968 cDNAs. First, we found commonly altered genes in WT. A total of 267 cDNAs were significantly overexpressed at least 3-fold in all of the tumors compared with noncancerous kidney and contained known WT-related genes such as IGF II and WT1. The gene with the highest expression change compared with noncancerous kidney was topoisomerase IIalpha. By hierarchical clustering, there was a clear distinction between high-stage and low-stage tumors. A total of 30 cDNAs were found differentially expressed between the high- and low-stage groups. One of them, Stathmin 1, which is involved in the microtubule system, was highly expressed in high-stage tumors compared with the low-stage tumors. The present chemotherapy regimens for WT consist mainly of topoisomerase II inhibitors (i.e., actinomycin D, doxorubicin, and etoposide) and antimicrotubule agents (i.e., vincristine and paclitaxel). Our data suggest that high expression of topoisomerase IIalpha and microtubule-related genes such as tubulin and stathmin 1 may be related to the high chemosensitivity of WT. In addition, retinol-related genes such as CRABP2 and retinol-binding protein 1 were overexpressed in WT, and CRABP2 was more highly expressed in the poor outcome patients, which suggests that retinoid acid may be a potential drug. In summary, our findings suggest that the integration of gene expression data and clinical parameters could aid in detecting aggressive tumors among favorable histology WT and lead to the discovery of new drugs for WT.

Antigens, Neoplasm↗

Gene expression profile and aortic vessel distensibility in voluntarily exercised spontaneously hypertensive rats: potential role of heat shock proteins.

Physical exercise is considered to be beneficial for cardiovascular health. Nevertheless, the underlying specific molecular mechanisms still remain unexplored. In this study, we aimed to investigate the effects of voluntary exercise on vascular mechanical properties and gene regulation patterns in spontaneously hypertensive rats. By using ultrasound biomicroscopy in an ex vivo perfusion chamber, we studied the distensibility of the thoracic aorta. Furthermore, exercise-induced gene regulation was studied in aortae, using microarray analysis and validated with real-time PCR. We found that distensibility was significantly improved in aortas from exercising compared with control rats (P < 0.0001). Exercising rats demonstrated a striking pattern of coordinated downregulation of genes belonging to the heat shock protein family. In conclusion, voluntary exercise leads to improved vessel wall distensibility and reduced gene expression of heat shock protein 60 and 70, which may indicate decreased oxidative stress in the aortic vascular wall.

Algorithms↗

Gene expression profiling of acute myeloid leukemia with translocation t(8;16)(p11;p13) and MYST3-CREBBP rearrangement reveals a distinctive signature with a specific pattern of HOX gene expression.

Acute myeloid leukemia (AML) with translocation t(8;16)(p11;p13) is an infrequent leukemia subtype with characteristic clinicobiological features. This translocation leads to fusion of MYST3 (MOZ) and CREBBP (CBP) genes, probably resulting in a disturbed transcriptional program of a myelomonocytic precursor. Nonetheless, its gene expression profile is unknown. We have analyzed the gene expression profile of 23 AML patients, including three with molecularly confirmed MYST3-CREBBP fusion gene, using oligonucleotide U133A arrays (Affymetrix). MYST3-CREBBP cases clustered together and clearly differentiated from samples with PML-RARalpha, RUNX1-RUNX1T1, and CBFbeta-MYH11 rearrangements. The relative expression of 46 genes, selected according to their differential expression in the high-density array study, was analyzed by low-density arrays in an additional series of 40 patients, which included 7 MYST3-CREBBP AML cases. Thus, genes such as prolactin (PRL) and proto-oncogene RET were confirmed to be specifically overexpressed in MYST3-CREBBP samples whereas genes such as CCND2, STAT5A, and STAT5B were differentially underexpressed in this AML category. Interestingly, MYST3-CREBBP AML exhibited a characteristic pattern of HOX expression, with up-regulation of HOXA9, HOXA10, and cofactor MEIS1 and marked down-regulation of other homeobox genes. This profile, with overexpression of FLT3, HOXA9, MEIS1, AKR7A2, CHD3, and APBA2, partially resembles that of AML with MLL rearrangement. In summary, this study shows the distinctive gene expression profile of MYST3-CREBBP AML, with overexpression of RET and PRL and a specific pattern of HOX gene expression.

Acute Disease↗

Mycobacterium tuberculosis gene expression profiling within the context of protein networks.

As one of the world's most successful intracellular pathogens, Mycobacterium tuberculosis, the causative agent of human tuberculosis, is responsible for two to three million deaths annually. The pathogenicity of M. tuberculosis relies on its ability to survive and persist within host macrophage cells during infection. It is of central importance, therefore, to identify genes and pathways that are involved in the survival and persistence of M. tuberculosis within these cells. Utilizing genome-wide DNA arrays we have identified M. tuberculosis genes that are specifically induced during macrophage infection. To better understand the cellular context of these differentially expressed genes, we have also combined our array analyses with computational methods of protein network identification. Our combined approach reveals certain signatures of M. tuberculosis residing within macrophage cells, including the induction of genes involved in DNA damage repair, fatty acid degradation, iron metabolism, and cell wall metabolism.

Amino Acids↗

Comparative gene expression profiling of in vitro differentiated megakaryocytes and erythroblasts identifies novel activatory and inhibitory platelet membrane proteins.

To identify previously unknown platelet receptors we compared the transcriptomes of in vitro differentiated megakaryocytes (MKs) and erythroblasts (EBs). RNA was obtained from purified, biologically paired MK and EB cultures and compared using cDNA microarrays. Bioinformatical analysis of MK-up-regulated genes identified 151 transcripts encoding transmembrane domain-containing proteins. Although many of these were known platelet genes, a number of previously unidentified or poorly characterized transcripts were also detected. Many of these transcripts, including G6b, G6f, LRRC32, LAT2, and the G protein-coupled receptor SUCNR1, encode proteins with structural features or functions that suggest they may be involved in the modulation of platelet function. Immunoblotting on platelets confirmed the presence of the encoded proteins, and flow cytometric analysis confirmed the expression of G6b, G6f, and LRRC32 on the surface of platelets. Through comparative analysis of expression in platelets and other blood cells we demonstrated that G6b, G6f, and LRRC32 are restricted to the platelet lineage, whereas LAT2 and SUCNR1 were also detected in other blood cells. The identification of the succinate receptor SUCNR1 in platelets is of particular interest, because physiologically relevant concentrations of succinate were shown to potentiate the effect of low doses of a variety of platelet agonists.

Cell Differentiation↗

Discrimination between uterine serous papillary carcinomas and ovarian serous papillary tumours by gene expression profiling.

High-grade ovarian serous papillary cancer (OSPC) and uterine serous papillary carcinoma (USPC) represent two histologically similar malignancies characterised by markedly different biological behavior and response to chemotherapy. Understanding the molecular basis of these differences may significantly refine differential diagnosis and management, and may lead to the development of novel, more specific and more effective treatment modalities for OSPC and USPC. We used an oligonucleotide microarray with probe sets complementary to >10 000 human genes to determine whether patterns of gene expression may differentiate OSPC from USPC. Hierarchical cluster analysis of gene expression in OSPC and USPC identified 116 genes that exhibited >two-fold differences (P<0.05) and that readily distinguished OSPC from USPC. Plasminogen activator inhibitor (PAI-2) was the most highly overexpressed gene in OSPC when compared to USPC, while c-erbB2 was the most strikingly overexpressed gene in USPC when compared to OSPC. Overexpression of the c-erbB2 gene and its expression product (i.e., HER-2/neu receptor) was validated by quantitative RT-PCR as well as by flow cytometry on primary USPC and OSPC, respectively. Immunohistochemical staining of serous tumour samples from which primary OSPC and USPC cultures were derived as well as from an independent set of 20 clinical tissue samples (i.e., 10 OSPC and 10 USPC) further confirmed HER-2/neu as a novel molecular diagnostic and therapeutic marker for USPC. Gene expression fingerprints have the potential to predict the anatomical site of tumour origin and readily identify the biologically more aggressive USPC from OSPC. A therapeutic strategy targeting HER-2/neu may be beneficial in patients harbouring chemotherapy-resistant USPC.

Adult↗

Gene expression profiling of osteoclast differentiation by combined suppression subtractive hybridization (SSH) and cDNA microarray analysis.

Bone homeostasis is maintained by the balanced action of bone-forming osteoblasts and bone-resorbing osteoclasts. Multinucleated, mature osteoclasts develop from hematopoietic stem cells via the monocyte-macrophage lineage, which also give rise to macrophages and dendritic cells. Despite their distinct physiologic roles in bone and the immune system, these cell types share many molecular and biochemical features. To provide insights into how osteoclasts differentiate and function to control bone metabolism, we employed a systematic approach to profile patterns of osteoclast-specific gene expression by combining suppression subtractive hybridization (SSH) and cDNA microarray analysis. Here we examined how gene expression profiles of mature osteoclast differ from macrophage or dendritic cells, how gene expression profiles change during osteoclast differentiation, and how Mitf, a transcription factor critical for osteoclast maturation, affects the gene expression profile. This approach revealed a set of genes coordinately regulated for osteoclast function, some of which have previously been implicated in several bone diseases in humans.

Animals↗

Effects of Yukmijihwang-tang derivatives (YMJd), a memory enhancing herbal extract, on the gene-expression profile in the rat hippocampus.

The herbal extract Yukmijihwang-tang (YMJ) has been widely used for centuries as an anti-aging herbal medicine in Asian countries. Among the various modified prescriptions of YMJ, YMJ derivatives (YMJd) were formulated to enhance memory retention. This study has three goals: 1) to quantitatively evaluate the memory-enhancing effect of YMJd using behavior tasks; 2) to use cDNA micro-array tools to identify candidate genes responsible for enhancing memory; and 3) to statistically evaluate the specific gene expression patterns using Real-time PCR. Memory retention abilities are addressed by the passive avoidance task with SD male rat. The retention time of the YMJd group was significantly delayed (ca. 100%), whereas with Ginkgo biloba and Soya lecithin treatment, this was only delayed 20% and 10%, respectively. The cDNA from the hippocampi of YMJd and rat control groups were applied to an Incyte rat GEM2 cDNA microarray. The microarray results showed that transthyretin and PEP-19 were abundantly expressed in the YMJd treated group. Importantly, PEP-19 is a neuron-specific protein that inhibits apoptotic processes. On the other hand, neuronal genes involved in neuronal death or neurodegeneration, such as pentraxin and spectrin, were abundantly expressed in the control group. The list of differentially expressed genes may provide further insight into the action and mechanism behind the memory-enhancing effect of herbal extracts of YMJd.

Animals↗