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  • EXPRESSION  (29)
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  • 1
    Keywords: EXPRESSION ; Germany ; human ; MODEL ; THERAPY ; DIAGNOSIS ; INFORMATION ; NETWORK ; TOOL ; DISEASE ; GENE ; GENES ; GENOME ; PROTEIN ; PROTEINS ; COMPLEX ; COMPLEXES ; BIOLOGY ; SEQUENCE ; FORM ; IDENTIFICATION ; HEALTH ; DATABASE ; PRODUCT ; bioinformatics ; LOCALIZATION ; WEB ; HUMAN GENES ; FUNCTIONAL GENOMICS ; PROTEOMICS ; PRODUCTS ; databases ; ANNOTATION ; RESOURCE ; PROTEIN-ANALYSIS ; FULL-LENGTH HUMAN ; HUMAN CDNAS
    Abstract: As several model genomes have been sequenced, the elucidation of protein function is the next challenge toward the understanding of biological processes in health and disease. We have generated a human ORFeome resource and established a functional genomics and proteomics analysis pipeline to address the major topics in the post-genome-sequencing era: the identification of human genes and splice forms, and the determination of protein localization, activity, and interaction. Combined with the understanding of when and where gene products are expressed in normal and diseased conditions, we create information that is essential for understanding the interplay of genes and proteins in the complex biological network. We have implemented bioinformatics tools and databases that are suitable to store, analyze, and integrate the different types of data from high-throughput experiments and to include further annotation that is based on external information. All information is presented in a Web database (http://www.dkfz.de/LIFEdb). It is exploited for the identification of disease-relevant genes and proteins for diagnosis and therapy
    Type of Publication: Journal article published
    PubMed ID: 15489336
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  • 2
    Keywords: brain ; CELLS ; EXPRESSION ; Germany ; GENE ; GENES ; GENOME ; PROTEIN ; PROTEINS ; transcription ; TISSUE ; MECHANISM ; mechanisms ; PROMOTER ; NUMBER ; DATABASE ; LOCALIZATION ; B-CELLS ; INVOLVEMENT ; TESTIS ; representational difference analysis ; RE ; VARIANT ; genomics ; regulation ; TRANSLATION ; GENE-REGULATION ; gene regulation ; NUCLEAR-PORE COMPLEX ; OVERLAPPING READING FRAMES ; SIGNAL PEPTIDES
    Abstract: Background: Given the complexity of higher organisms, the number of genes encoded by their genomes is surprisingly small. Tissue specific regulation of expression and splicing are major factors enhancing the number of the encoded products. Commonly these mechanisms are intragenic and affect only one gene. Results: Here we provide evidence that the IL4I1 gene is specifically transcribed from the apparent promoter of the upstream NUP62 gene, and that the first two exons of NUP62 are also contained in the novel IL4I1_2 variant. While expression of IL4I1 driven from its previously described promoter is found mostly in B cells, the expression driven by the NUP62 promoter is restricted to cells in testis (Sertoli cells) and in the brain (e.g., Purkinje cells). Since NUP62 is itself ubiquitously expressed, the IL4I1_2 variant likely derives from cell type specific alternative pre-mRNA processing. Conclusion: Comparative genomics suggest that the promoter upstream of the NUP62 gene originally belonged to the IL4I1 gene and was later acquired by NUP62 via insertion of a retroposon. Since both genes are apparently essential, the promoter had to serve two genes afterwards. Expression of the IL4I1 gene from the "NUP62" promoter and the tissue specific involvement of the pre-mRNA processing machinery to regulate expression of two unrelated proteins indicate a novel mechanism of gene regulation
    Type of Publication: Journal article published
    PubMed ID: 16029492
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  • 3
    Keywords: EXPRESSION ; proliferation ; CELL-PROLIFERATION ; Germany ; INFORMATION ; screening ; GENE ; GENE-EXPRESSION ; GENES ; GENOME ; PROTEIN ; PROTEINS ; gene expression ; ASSAY ; DATABASE ; bioinformatics ; INTERFACE ; PROJECT ; INTEGRATION ; FEATURES ; RE ; cell proliferation ; FULL-LENGTH HUMAN ; HUMAN CDNAS ; ASSAYS ; genomic ; NORTHERN
    Abstract: LIFEdb (http://www.LIFEdb.de) integrates data from large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. New features of LIFEdb include (i) an updated user interface with enhanced query capabilities, (ii) a configurable output table and the option to download search results in XML, (iii) the integration of data from cell-based screening assays addressing the influence of protein-overexpression on cell proliferation and (iv) the display of the relative expression ('Electronic Northern') of the genes under investigation using curated gene expression ontology information. LIFEdb enables researchers to systematically select and characterize genes and proteins of interest, and presents data and information via its user-friendly web-based interface
    Type of Publication: Journal article published
    PubMed ID: 16381901
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  • 4
    Keywords: PEPTIDE ; EXPRESSION ; Germany ; ALGORITHM ; DISTINCT ; GENOME ; PROTEIN ; ACCURACY ; COMPLEX ; COMPLEXES ; SEQUENCE ; SEQUENCES ; MOUSE ; IDENTIFICATION ; PATTERNS ; Drosophila ; NUMBER ; HUMAN GENOME ; LOCALIZATION ; PROTEOMICS ; PROGRAM ; RE ; INCREASE ; REQUIREMENT ; NUCLEOTIDE-SEQUENCES ; FULL-LENGTH HUMAN ; HUMAN CDNAS ; FIDELITY ; Internet
    Abstract: Background: The identification of patterns in biological sequences is a key challenge in genome analysis and in proteomics. Frequently such patterns are complex and highly variable, especially in protein sequences. They are frequently described using terms of regular expressions (RegEx) because of the user-friendly terminology. Limitations arise for queries with the increasing complexity of patterns and are accompanied by requirements for enhanced capabilities. This is especially true for patterns containing ambiguous characters and positions and/or length ambiguities. Results: We have implemented the 3of5 web application in order to enable complex pattern matching in protein sequences. 3of5 is named after a special use of its main feature, the novel n-of-m pattern type. This feature allows for an extensive specification of variable patterns where the individual elements may vary in their position, order, and content within a defined stretch of sequence. The number of distinct elements can be constrained by operators, and individual characters may be excluded. The n-of-m pattern type can be combined with common regular expression terms and thus also allows for a comprehensive description of complex patterns. 3of5 increases the fidelity of pattern matching and finds ALL possible solutions in protein sequences in cases of length-ambiguous patterns instead of simply reporting the longest or shortest hits. Grouping and combined search for patterns provides a hierarchical arrangement of larger patterns sets. The algorithm is implemented as internet application and freely accessible. The application is available at http://dkfz.de/mga2/3of5/3of5.html. Conclusion: The 3of5 application offers an extended vocabulary for the definition of search patterns and thus allows the user to comprehensively specify and identify peptide patterns with variable elements. The n-of-m pattern type offers an improved accuracy for pattern matching in combination with the ability to find all solutions, without compromising the user friendliness of regular expression terms
    Type of Publication: Journal article published
    PubMed ID: 16542452
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  • 5
    Keywords: RECEPTOR ; EXPRESSION ; INVASION ; CELL ; Germany ; KINASE ; PATHWAY ; PATHWAYS ; TYROSINE KINASE ; SYSTEM ; SYSTEMS ; GENE ; GENES ; GENOME ; PROTEIN ; PROTEINS ; validation ; BIOLOGY ; TARGET ; REQUIRES ; PCR ; SIGNALING PATHWAY ; SIGNALING PATHWAYS ; EPITHELIAL-CELLS ; systems biology ; TARGETS ; OVEREXPRESSION ; real-time PCR ; protein expression ; CROSS-TALK ; CYTOTOXICITY ; signaling ; SINGLE ; ARRAY ; analysis ; EVENTS ; technique ; USA ; quantitative ; SIGNALING NETWORK ; protein arrays ; combinatorial protein knockdown ; reverse-phase protein arrays
    Abstract: The elucidation of cross-talk events between intersecting signaling pathways is one main challenge in biological research. The complexity of protein networks, composed of different pathways, requires novel strategies and techniques to reveal relevant interrelations. Here, we established a combinatorial RNAi strategy for systematic single, double, and triple knockdown, and we measured the residual mRNAs and proteins quantitatively by quantitative real-time PCR and reverse-phase protein arrays, respectively, as a prerequisite for data analysis. Our results show that the parallel knockdown of at least three different genes is feasible while keeping both untargeted silencing and cytotoxicity low. The technique was validated by investigating the interplay of tyrosine kinase receptor ErbB2 and its downstream targets Akt-1 and MEK1 in cell invasion. This experimental approach combines multiple gene knockdown with a subsequent quantitative validation of reduced protein expression and is a major advancement toward the analysis of signaling pathways in systems biology
    Type of Publication: Journal article published
    PubMed ID: 17420474
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  • 6
    Keywords: EXPRESSION ; Germany ; PATHWAY ; CLASSIFICATION ; GENE ; GENE-EXPRESSION ; GENES ; GENOME ; ACCURACY ; BIOLOGY ; TARGET ; gene expression ; MICROARRAY DATA ; DATABASE ; RE ; databases ; analysis ; methods ; HIGH-THROUGHPUT ; technique ; CANDIDATE ; microbiology ; ENGLAND ; biotechnology ; ONTOLOGIES
    Abstract: Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly used and well established technique to test for the statistically significant over-representation of particular pathways. A shortcoming of this method is however, that most genes that are investigated in the experiments have very sparse functional or pathway annotation and therefore cannot be the target of such an analysis. The approach presented here aims to assign lists of genes with limited annotation to previously described functional gene collections or pathways. This works by comparing InterPro domain signatures of the candidate gene lists with domain signatures of gene sets derived from known classifications, e. g. KEGG pathways. Results: In order to validate our approach, we designed a simulation study. Based on all pathways available in the KEGG database, we create test gene lists by randomly selecting pathway genes, removing these genes from the known pathways and adding variable amounts of noise in the form of genes not annotated to the pathway. We show that we can recover pathway memberships based on the simulated gene lists with high accuracy. We further demonstrate the applicability of our approach on a biological example. Conclusion: Results based on simulation and data analysis show that domain based pathway enrichment analysis is a very sensitive method to test for enrichment of pathways in sparsely annotated lists of genes. An R based software package domainsignatures, to routinely perform this analysis on the results of high-throughput screening, is available via Bioconductor
    Type of Publication: Journal article published
    PubMed ID: 18177498
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  • 7
    Keywords: EXPRESSION ; proliferation ; MODULATION ; POTENT ; TYROSINE KINASES ; PHOSPHATIDYLINOSITOL 3-KINASE/MAMMALIAN TARGET ; RAPAMYCIN INHIBITOR ; MAMMARY-TUMOR ; DEPENDENCY ; NVP-BEZ235
    Abstract: ABSTRACT: INTRODUCTION: Targeting receptor tyrosine kinases (RTKs) with kinase inhibitors is a clinically validated anti-cancer approach. However, blocking one signaling pathway is often not sufficient to cause tumor regression and the effectiveness of individual inhibitors is often short-lived. As alterations in fibroblast growth factor receptor (FGFR) activity have been implicated in breast cancer, we examined in breast cancer models with autocrine FGFR activity the impact of targeting FGFRs in vivo with a selective kinase inhibitor in combination with an inhibitor of PI3K/mTOR or with a pan-ErbB inhibitor. METHODS: Using 4T1 or 67NR models of basal-like breast cancer, tumor growth was measured in mice treated with an FGFR inhibitor (dovitinib/TKI258), a PI3K/mTOR inhibitor (NVP-BEZ235) or a pan-ErbB inhibitor (AEE788) individually or in combination. To uncover mechanisms underlying inhibitor action, signaling pathway activity was examined in tumor lysates and transcriptome analysis carried out to identify pathways upregulated by FGFR inhibition. Anti-phosphotyrosine receptor antibody arrays (P-Tyr RTK) were also used to screen 4T1 tumors. RESULTS: The combination of dovitinib + NVP-BEZ235 causes tumor stasis and strong down-regulation of the FRS2/Erk and PI3K/Akt/mTOR signaling pathways. P-Tyr RTK arrays identified high levels of P-EGFR and P-ErbB2 in 4T1 tumors. Testing AEE788 in the tumor models revealed that the combination of dovitinib + AEE788 resulted in blockade of the PI3K/Akt/mTOR pathway, prolonged tumor stasis and in the 4T1 model, a significant decrease in lung metastasis. The results show that in vivo these breast cancer models become dependent upon co-activation of FGFR and ErbB receptors for PI3K pathway activity. CONCLUSIONS: The work presented here shows that in the breast cancer models examined, the combination of dovitinib + NVP-BEZ235 or dovitinib + AEE788 results in strong inhibition of tumor growth and a block in metastatic spread. Only these combinations strongly down-regulate the FGFR/FRS2/Erk and PI3K/Akt/mTOR signaling pathways. The resultant decrease in mitosis and increase in apoptosis was consistently stronger in the dovitinib + AEE788 treatment-group, suggesting that targeting ErbB receptors has broader downstream effects compared to targeting only PI3K/mTOR. Considering that sub-classes of human breast tumors co-express ErbB receptors and FGFRs, these results have implications for targeted therapy.
    Type of Publication: Journal article published
    PubMed ID: 23343422
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  • 8
    Keywords: RECEPTOR ; EXPRESSION ; KINASE ; PROTEIN ; ACTIVATION ; GLYCATION END-PRODUCTS ; OXIDATIVE STRESS ; p38 ; METHYLGLYOXAL INDUCES APOPTOSIS ; GLYOXAL
    Abstract: Tamoxifen is the standard adjuvant endocrine therapy for estrogen-receptor positive premenopausal breast cancer patients. However, tamoxifen resistance is frequently observed under therapy. A tamoxifen resistant cell line has been generated from the estrogen receptor positive mamma carcinoma cell line MCF-7 and was analyzed for putative differences in the aldehyde defence system and accumulation of advanced glycation end products (AGE). In comparison to wt MCF-7 cells, these tamoxifen resistant cells were more sensitive to the dicarbonyl compounds glyoxal and methylglyoxal and displayed increased caspase activity, p38-MAPK- and I kappa B alpha-phosphorylation. However, mRNA accumulation of the aldehyde-and AGE-defence enzymes glyoxalase-1 and -2 (GLO1, GLO2) as well as fructosamine-3-kinase (FN3K) was not significantly altered. Tamoxifen resistant cells contained less free sulfhydryl-groups (glutathione) suggesting that the increased sensitivity towards the dicarbonyls was due to a higher sensitivity towards reactive oxygen species which are associated with dicarbonyl stress. To further analyse, if these data are of more general importance, key experiments were replicated with tamoxifen resistant MCF-7 cell lines from two independent sources. These cell lines were also more sensitive to aldehydes, especially glyoxal, but were different in their cellular signalling responses to the aldehydes. In conclusion, glyoxalases and other aldehyde defence enzymes might represent a promising target for the therapy of tamoxifen resistant breast cancers.
    Type of Publication: Journal article published
    PubMed ID: 24983248
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  • 9
    Keywords: EXPRESSION ; GROWTH ; INVASION ; proliferation ; HEPATOCELLULAR-CARCINOMA ; COLORECTAL-CANCER ; GASTRIC-CANCER ; PROMOTES ; MISSING-IN-METASTASIS ; MIM
    Abstract: Growth factors promote tumor growth and metastasis. We found that epidermal growth factor (EGF) induced a set of 22 microRNAs (miRNAs) before promoting the migration of mammary cells. These miRNAs were more abundant in human breast tumors relative to the surrounding tissue, and their abundance varied among breast cancer subtypes. One of these miRNAs, miR-15b, targeted the 3' untranslated region of MTSS1 (metastasis suppressor protein 1). Although xenografts in which MTSS1 was knocked down grew more slowly in mice initially, longer-term growth was unaffected. Knocking down MTSS1 increased migration and Matrigel invasion of nontransformed mammary epithelial cells. Overexpressing MTSS1 in an invasive cell line decreased cell migration and invasiveness, decreased the formation of invadopodia and actin stress fibers, and increased the formation of cellular junctions. In tissues from breast cancer patients with the aggressive basal subtype, an inverse correlation occurred with the high expression of miRNA-15b and the low expression of MTSS1. Furthermore, low abundance of MTSS1 correlated with poor patient prognosis. Thus, growth factor-inducible miRNAs mediate mechanisms underlying the progression of cancer.
    Type of Publication: Journal article published
    PubMed ID: 25783158
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  • 10
    Keywords: EXPRESSION ; GROWTH ; FACTOR RECEPTOR ; ACTIVATION ; TNF-ALPHA ; TUMOR-SUPPRESSOR ; MAMMARY-GLAND DEVELOPMENT ; TRANSDUCTION PATHWAYS ; MOLECULAR PORTRAITS ; OVARIAN-TUMORS
    Abstract: Nuclear Factor kappa B (NF-kappaB) signaling is frequently deregulated in a variety of cancers and is constitutively active in estrogen receptor negative (ER-) breast cancer subtypes. These molecular subtypes of breast cancer are associated with poor overall survival. We focused on mechanisms of NF-kappaB regulation by microRNAs (miRNAs), which regulate eukaryotic gene expression at the post-transcriptional level. In a previous genome-wide miRNA screen, we had identified miR-30c-2-3p as one of the strongest negative regulators of NF-kappaB signaling. Here we have uncovered the underlying molecular mechanisms and its consequences in breast cancer. In vitro results show that miR-30c-2-3p directly targets both TNFRSF1A-associated via death domain (TRADD), an adaptor protein of the TNFR/NF-kappaB signaling pathway, and the cell cycle protein Cyclin E1 (CCNE1). Ectopic expression of miR-30c-2-3p downregulated essential cytokines IL8, IL6, CXCL1, and reduced cell proliferation as well as invasion in MDA-MB-231 breast cancer cells. RNA interference (RNAi) induced silencing of TRADD phenocopied the effects on invasion and cytokine expression caused by miR-30c-2-3p, while inhibition of CCNE1 phenocopied the effects on cell proliferation. We further confirmed the tumor suppressive role of this miRNA using a dataset of 781 breast tumors, where higher expression was associated with better survival in breast cancer patients. In summary we have elucidated the mechanism by which miR-30c-2-3p negatively regulates NF-kappaB signaling and cell cycle progression in breast cancer.
    Type of Publication: Journal article published
    PubMed ID: 25732226
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