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  • 1
    Publikationsdatum: 2001-11-17
    Beschreibung: Dendritic cells (DCs) are important in regulating both immunity and tolerance. Hence, we hypothesized that systemic lupus erythematosus (SLE), an autoimmune disease characterized by autoreactive B and T cells, may be caused by alterations in the functions of DCs. Consistent with this, monocytes from SLE patients' blood were found to function as antigen-presenting cells, in vitro. Furthermore, serum from SLE patients induced normal monocytes to differentiate into DCs. These DCs could capture antigens from dying cells and present them to CD4-positive T cells. The capacity of SLE patients' serum to induce DC differentiation correlated with disease activity and depended on the actions of interferon-alpha (IFN-alpha). Thus, unabated induction of DCs by IFN-alpha may drive the autoimmune response in SLE.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Blanco, P -- Palucka, A K -- Gill, M -- Pascual, V -- Banchereau, J -- R01 AR46589/AR/NIAMS NIH HHS/ -- New York, N.Y. -- Science. 2001 Nov 16;294(5546):1540-3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Baylor Institute for Immunology Research, Dallas, TX 75204, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11711679" target="_blank"〉PubMed〈/a〉
    Schlagwort(e): Adolescent ; Antigen Presentation ; Antigens, CD/analysis ; Blood Cell Count ; CD4-Positive T-Lymphocytes/immunology ; Cell Differentiation ; Cells, Cultured ; Child ; Dendritic Cells/*cytology/*immunology ; Homeostasis ; Humans ; Interferon-alpha/blood/pharmacology/*physiology ; Lupus Erythematosus, Systemic/blood/*immunology ; Lymphocyte Culture Test, Mixed ; Monocytes/cytology/*immunology
    Print ISSN: 0036-8075
    Digitale ISSN: 1095-9203
    Thema: Biologie , Chemie und Pharmazie , Informatik , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 2
    Publikationsdatum: 2010-08-21
    Beschreibung: Tuberculosis (TB), caused by infection with Mycobacterium tuberculosis, is a major cause of morbidity and mortality worldwide. Efforts to control it are hampered by difficulties with diagnosis, prevention and treatment. Most people infected with M. tuberculosis remain asymptomatic, termed latent TB, with a 10% lifetime risk of developing active TB disease. Current tests, however, cannot identify which individuals will develop disease. The immune response to M. tuberculosis is complex and incompletely characterized, hindering development of new diagnostics, therapies and vaccines. Here we identify a whole-blood 393 transcript signature for active TB in intermediate and high-burden settings, correlating with radiological extent of disease and reverting to that of healthy controls after treatment. A subset of patients with latent TB had signatures similar to those in patients with active TB. We also identify a specific 86-transcript signature that discriminates active TB from other inflammatory and infectious diseases. Modular and pathway analysis revealed that the TB signature was dominated by a neutrophil-driven interferon (IFN)-inducible gene profile, consisting of both IFN-gamma and type I IFN-alphabeta signalling. Comparison with transcriptional signatures in purified cells and flow cytometric analysis suggest that this TB signature reflects changes in cellular composition and altered gene expression. Although an IFN-inducible signature was also observed in whole blood of patients with systemic lupus erythematosus (SLE), their complete modular signature differed from TB, with increased abundance of plasma cell transcripts. Our studies demonstrate a hitherto underappreciated role of type I IFN-alphabeta signalling in the pathogenesis of TB, which has implications for vaccine and therapeutic development. Our study also provides a broad range of transcriptional biomarkers with potential as diagnostic and prognostic tools to combat the TB epidemic.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492754/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492754/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Berry, Matthew P R -- Graham, Christine M -- McNab, Finlay W -- Xu, Zhaohui -- Bloch, Susannah A A -- Oni, Tolu -- Wilkinson, Katalin A -- Banchereau, Romain -- Skinner, Jason -- Wilkinson, Robert J -- Quinn, Charles -- Blankenship, Derek -- Dhawan, Ranju -- Cush, John J -- Mejias, Asuncion -- Ramilo, Octavio -- Kon, Onn M -- Pascual, Virginia -- Banchereau, Jacques -- Chaussabel, Damien -- O'Garra, Anne -- 088316/Wellcome Trust/United Kingdom -- 1 U19 AI082715-01/AI/NIAID NIH HHS/ -- MC_U117565642/Medical Research Council/United Kingdom -- MC_U117588499/Medical Research Council/United Kingdom -- P01 CA084512/CA/NCI NIH HHS/ -- P50 ARO54083/PHS HHS/ -- R01 AR050770-01/AR/NIAMS NIH HHS/ -- U01 AI082110/AI/NIAID NIH HHS/ -- U117565642/Medical Research Council/United Kingdom -- U117588499(88499)/Medical Research Council/United Kingdom -- U19 AI082715/AI/NIAID NIH HHS/ -- U19 AIO57234-02/PHS HHS/ -- England -- Nature. 2010 Aug 19;466(7309):973-7. doi: 10.1038/nature09247.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Immunoregulation, MRC National Institute for Medical Research, The Ridgeway, Mill Hill, London NW7 1AA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20725040" target="_blank"〉PubMed〈/a〉
    Schlagwort(e): Blood/metabolism ; Case-Control Studies ; *Gene Expression Profiling ; Gene Expression Regulation/*immunology ; Humans ; Interferon Type I/*immunology ; Latent Tuberculosis/blood/diagnosis/genetics/immunology ; Lupus Erythematosus, Systemic/blood/genetics ; Mycobacterium tuberculosis/immunology ; Neutrophils/*immunology ; Signal Transduction ; Transcription, Genetic/*genetics ; Tuberculosis/*blood/diagnosis/*genetics/immunology ; Tuberculosis, Pulmonary/blood/diagnosis/genetics/immunology
    Print ISSN: 0028-0836
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 3
    Publikationsdatum: 2010-06-19
    Beschreibung: Glucocorticoids are widely used to treat patients with autoimmune diseases such as systemic lupus erythematosus (SLE). However, regimens used to treat many such conditions cannot maintain disease control in the majority of SLE patients and more aggressive approaches such as high-dose methylprednisolone pulse therapy are used to provide transient reductions in disease activity. The primary anti-inflammatory mechanism of glucocorticoids is thought to be NF-kappaB inhibition. Recognition of self nucleic acids by toll-like receptors TLR7 and TLR9 on B cells and plasmacytoid dendritic cells (PDCs) is an important step in the pathogenesis of SLE, promoting anti-nuclear antibodies and the production of type I interferon (IFN), both correlated with the severity of disease. Following their activation by self-nucleic acid-associated immune complexes, PDCs migrate to the tissues. We demonstrate, in vitro and in vivo, that stimulation of PDCs through TLR7 and 9 can account for the reduced activity of glucocorticoids to inhibit the IFN pathway in SLE patients and in two lupus-prone mouse strains. The triggering of PDCs through TLR7 and 9 by nucleic acid-containing immune complexes or by synthetic ligands activates the NF-kappaB pathway essential for PDC survival. Glucocorticoids do not affect NF-kappaB activation in PDCs, preventing glucocorticoid induction of PDC death and the consequent reduction of systemic IFN-alpha levels. These findings unveil a new role for self nucleic acid recognition by TLRs and indicate that inhibitors of TLR7 and 9 signalling could prove to be effective corticosteroid-sparing drugs.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2964153/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2964153/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Guiducci, Cristiana -- Gong, Mei -- Xu, Zhaohui -- Gill, Michelle -- Chaussabel, Damien -- Meeker, Thea -- Chan, Jean H -- Wright, Tracey -- Punaro, Marilynn -- Bolland, Silvia -- Soumelis, Vassili -- Banchereau, Jacques -- Coffman, Robert L -- Pascual, Virginia -- Barrat, Franck J -- 2R44AI066483-02/AI/NIAID NIH HHS/ -- P50 AR054083/AR/NIAMS NIH HHS/ -- P50 AR054083-01/AR/NIAMS NIH HHS/ -- P50 AR054083-010001/AR/NIAMS NIH HHS/ -- P50 AR054083-010002/AR/NIAMS NIH HHS/ -- P50 AR054083-019001/AR/NIAMS NIH HHS/ -- P50 AR054083-02/AR/NIAMS NIH HHS/ -- P50 AR054083-020001/AR/NIAMS NIH HHS/ -- P50 AR054083-020002/AR/NIAMS NIH HHS/ -- P50 AR054083-029001/AR/NIAMS NIH HHS/ -- P50 AR054083-03/AR/NIAMS NIH HHS/ -- P50 AR054083-030001/AR/NIAMS NIH HHS/ -- P50 AR054083-030002/AR/NIAMS NIH HHS/ -- P50 AR054083-04/AR/NIAMS NIH HHS/ -- P50 AR054083-040001/AR/NIAMS NIH HHS/ -- P50 AR054083-040002/AR/NIAMS NIH HHS/ -- P50 AR054083-04S1/AR/NIAMS NIH HHS/ -- P50 AR054083-05/AR/NIAMS NIH HHS/ -- P50 AR054083-050001/AR/NIAMS NIH HHS/ -- P50 AR054083-050002/AR/NIAMS NIH HHS/ -- P50-ARO54083-01CORT/PHS HHS/ -- R44 AI066483/AI/NIAID NIH HHS/ -- R44 AI066483-02/AI/NIAID NIH HHS/ -- U19 AI082715/AI/NIAID NIH HHS/ -- U19 AI082715-01/AI/NIAID NIH HHS/ -- U19 AI082715-017348/AI/NIAID NIH HHS/ -- U19 AI082715-017351/AI/NIAID NIH HHS/ -- U19 AI082715-02/AI/NIAID NIH HHS/ -- U19 AI082715-027348/AI/NIAID NIH HHS/ -- U19 AI082715-027351/AI/NIAID NIH HHS/ -- U19 AI082715-03/AI/NIAID NIH HHS/ -- U19-AI082715-01/AI/NIAID NIH HHS/ -- England -- Nature. 2010 Jun 17;465(7300):937-41. doi: 10.1038/nature09102.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Dynavax Technologies Corporation, 2929 Seventh Street, Suite 100, Berkeley, California 94710, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20559388" target="_blank"〉PubMed〈/a〉
    Schlagwort(e): Adolescent ; Animals ; Autoantibodies/immunology ; Cell Survival/drug effects ; Cells, Cultured ; Child ; Dendritic Cells/*drug effects ; Disease Models, Animal ; Female ; Glucocorticoids/*pharmacology ; Humans ; Interferon-alpha/immunology ; Interferons/immunology ; Lupus Erythematosus, Systemic/*physiopathology ; Male ; Membrane Glycoproteins/immunology ; Mice ; Mice, Inbred C57BL ; NF-kappa B/immunology ; Nucleic Acids/*immunology ; Toll-Like Receptor 7/*immunology ; Toll-Like Receptor 9/*immunology ; Up-Regulation
    Print ISSN: 0028-0836
    Digitale ISSN: 1476-4687
    Thema: Biologie , Chemie und Pharmazie , Medizin , Allgemeine Naturwissenschaft , Physik
    Standort Signatur Erwartet Verfügbarkeit
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  • 4
    Digitale Medien
    Digitale Medien
    s.l. : American Chemical Society
    Analytical chemistry 47 (1975), S. 2067-2067 
    ISSN: 1520-6882
    Quelle: ACS Legacy Archives
    Thema: Chemie und Pharmazie
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
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  • 5
    Digitale Medien
    Digitale Medien
    Amsterdam : Elsevier
    BBA Section Nucleic Acids And Protein Synthesis 518 (1978), S. 525-529 
    ISSN: 0005-2787
    Quelle: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Thema: Biologie
    Materialart: Digitale Medien
    Standort Signatur Erwartet Verfügbarkeit
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  • 6
  • 7
    Publikationsdatum: 2005-02-22
    Print ISSN: 0027-8424
    Digitale ISSN: 1091-6490
    Thema: Biologie , Medizin , Allgemeine Naturwissenschaft
    Standort Signatur Erwartet Verfügbarkeit
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  • 8
    Publikationsdatum: 2016-12-08
    Beschreibung: DNA fingerprinting is a genetic typing technique that allows the analysis of the genomic relatedness between samples, and the comparison of DNA patterns. The analysis of DNA gel fingerprint images usually consists of five consecutive steps: image pre-processing, lane segmentation, band detection, normalization and fingerprint comparison. In this article, we firstly survey the main methods that have been applied in the literature in each of these stages. Secondly, we focus on lane-segmentation and band-detection algorithms—as they are the steps that usually require user-intervention—and detect the seven core algorithms used for both tasks. Subsequently, we present a benchmark that includes a data set of images, the gold standards associated with those images and the tools to measure the performance of lane-segmentation and band-detection algorithms. Finally, we implement the core algorithms used both for lane segmentation and band detection, and evaluate their performance using our benchmark. As a conclusion of that study, we obtain that the average profile algorithm is the best starting point for lane segmentation and band detection.
    Print ISSN: 1467-5463
    Digitale ISSN: 1477-4054
    Thema: Biologie , Informatik
    Publiziert von Oxford University Press
    Standort Signatur Erwartet Verfügbarkeit
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  • 9
    Publikationsdatum: 2016-12-08
    Beschreibung: DNA fingerprinting is a genetic typing technique that allows the analysis of the genomic relatedness between samples, and the comparison of DNA patterns. This technique has multiple applications in different fields (medical diagnosis, forensic science, parentage testing, food industry, agriculture and many others). An important task in molecular epidemiology of infectious diseases is the analysis and comparison of pulsed-field gel electrophoresis (PFGE) patterns. This is applied to determine the clonal diversity of bacteria in the follow-up of outbreaks or for tracking specific clones of special relevance. The resulting images produced by DNA fingerprinting are sometimes difficult to interpret, and multiple tools have been developed to simplify this task. In this article, we present a survey of tools for analysing DNA fingerprints. In particular, we compare 33 tools using a set of predefined criteria. The comparison was carried out by hands-on experiences—whenever possible—and inspecting the documentation of the tools. As no system is preferred in all the possible scenarios, we have created a spreadsheet that can be customized by researchers to determine the best system for their needs.
    Print ISSN: 1467-5463
    Digitale ISSN: 1477-4054
    Thema: Biologie , Informatik
    Publiziert von Oxford University Press
    Standort Signatur Erwartet Verfügbarkeit
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  • 10
    Publikationsdatum: 2011-06-01
    Print ISSN: 0747-7171
    Digitale ISSN: 1095-855X
    Thema: Informatik , Mathematik
    Publiziert von Elsevier
    Standort Signatur Erwartet Verfügbarkeit
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